1 00:00:01,440 --> 00:00:05,200 Speaker 1: Welcome to Wired to Hunts rut Fresh Radio, bringing you 2 00:00:05,240 --> 00:00:08,559 Speaker 1: the latest reports from the White Tailed Woods and now 3 00:00:08,920 --> 00:00:15,200 Speaker 1: your host, Spencer new Hearth. This is Wired Hunt's rout 4 00:00:15,240 --> 00:00:18,520 Speaker 1: Fresh Radio powered by First Light. I am your host, 5 00:00:18,520 --> 00:00:21,079 Speaker 1: Spencer new Hearth, and this week we're talking about some 6 00:00:21,160 --> 00:00:40,479 Speaker 1: October optimism. Welcome to Wired to Hunt's rut Fresh Radio. 7 00:00:40,560 --> 00:00:43,040 Speaker 1: I am your host, Spencer new Hearth, and this is 8 00:00:43,159 --> 00:00:46,960 Speaker 1: episode four hundred sixty six. This week again I am 9 00:00:47,040 --> 00:00:49,680 Speaker 1: joined by Mark Kenyan. Now I know, Mark, you just 10 00:00:49,760 --> 00:00:52,919 Speaker 1: got home from hunting in the nation's capital and you're 11 00:00:52,920 --> 00:00:55,560 Speaker 1: gonna have a lot of other content focused on that trip. 12 00:00:55,640 --> 00:00:58,160 Speaker 1: But for right now, I just want to know what 13 00:00:58,400 --> 00:01:01,200 Speaker 1: the buck movement was like. So give me an answer 14 00:01:01,200 --> 00:01:02,640 Speaker 1: on the scale of one to ten and a few 15 00:01:02,640 --> 00:01:07,040 Speaker 1: details about that trip. Yeah, so, my dear, activity report 16 00:01:07,160 --> 00:01:09,840 Speaker 1: comes from the Virginia side of the line. We're over 17 00:01:09,880 --> 00:01:14,120 Speaker 1: in the Virginia, UH side of that region, hunting in 18 00:01:14,160 --> 00:01:18,720 Speaker 1: the suburbs, and you know, on a one to ten scale, 19 00:01:19,560 --> 00:01:25,759 Speaker 1: I would give it a five. Probably. Um, we definitely 20 00:01:25,800 --> 00:01:30,440 Speaker 1: were seeing deer movement. We even saw some buck movement 21 00:01:30,560 --> 00:01:33,880 Speaker 1: earlier in the day and some spots. Um. But it 22 00:01:33,959 --> 00:01:37,400 Speaker 1: wasn't on fire. It was most of the movement was 23 00:01:37,600 --> 00:01:42,160 Speaker 1: that last hour of daylight, first hour in the morning, 24 00:01:42,680 --> 00:01:46,240 Speaker 1: and um, you know, definitely not any kind of pre 25 00:01:46,360 --> 00:01:49,560 Speaker 1: rut stuff, just some some very basic bed defeat kind 26 00:01:49,560 --> 00:01:52,040 Speaker 1: of movement is basically what we saw. And in some 27 00:01:52,120 --> 00:01:54,360 Speaker 1: areas in the suburbs, these deer move all day because 28 00:01:54,360 --> 00:01:56,360 Speaker 1: they bed right off the edges of the yards and 29 00:01:56,360 --> 00:01:58,520 Speaker 1: then hop into a yard and the some acorns some 30 00:01:58,560 --> 00:02:00,720 Speaker 1: of that stuff. But in gen orl i'd say, kind 31 00:02:00,720 --> 00:02:04,320 Speaker 1: of average what you'd expect in October stuff. Uh. The 32 00:02:04,560 --> 00:02:07,200 Speaker 1: big story as far as what these deer were doing, 33 00:02:07,200 --> 00:02:11,360 Speaker 1: we're eating acorns, eating white oak, white oak acorns. That 34 00:02:11,480 --> 00:02:16,120 Speaker 1: was everything revolved around that. So that was the That 35 00:02:16,160 --> 00:02:18,280 Speaker 1: was the trick to trying to find deer was finding 36 00:02:18,320 --> 00:02:20,560 Speaker 1: a yard that had a white oak or a bunch 37 00:02:20,600 --> 00:02:22,880 Speaker 1: of white oaks that was dropping acorns and you could 38 00:02:22,880 --> 00:02:25,760 Speaker 1: just see these deer were just hammering them. Anywhere you 39 00:02:25,800 --> 00:02:28,600 Speaker 1: found that you were finding some deer or deer signs. 40 00:02:28,680 --> 00:02:31,040 Speaker 1: So that was that was the story in Northern Virginia 41 00:02:31,120 --> 00:02:35,359 Speaker 1: this this past week. Um, that's uh, I think that's 42 00:02:35,400 --> 00:02:36,880 Speaker 1: all I have to say for now because I am 43 00:02:36,880 --> 00:02:39,200 Speaker 1: going to record a full podcast about the story of 44 00:02:39,200 --> 00:02:41,200 Speaker 1: the trip with all the details and how it ended 45 00:02:41,240 --> 00:02:44,320 Speaker 1: and what happened. And I will tease it and say 46 00:02:44,360 --> 00:02:47,400 Speaker 1: that it was probably the most not probably, it was 47 00:02:47,520 --> 00:02:51,800 Speaker 1: absolutely the most unique hunt of my life and a 48 00:02:51,880 --> 00:02:55,079 Speaker 1: wild experience in a lot of ways. So I'll leave 49 00:02:55,120 --> 00:02:59,040 Speaker 1: it that I like it, looking forward to that other content. Now, 50 00:02:59,120 --> 00:03:02,280 Speaker 1: I know when you were there, you weren't really blessed 51 00:03:02,280 --> 00:03:04,880 Speaker 1: with great weather. Maybe it wasn't bad weather either, but 52 00:03:04,919 --> 00:03:08,519 Speaker 1: you didn't have amazing weather. And that's something that in 53 00:03:10,440 --> 00:03:13,480 Speaker 1: nineteen most of the nation at some point in the 54 00:03:13,520 --> 00:03:16,760 Speaker 1: first two weeks of October was blessed with like the 55 00:03:16,840 --> 00:03:19,679 Speaker 1: perfect cold front, and we saw it both years Mark 56 00:03:19,720 --> 00:03:21,840 Speaker 1: where there were a whole bunch of bucks that got 57 00:03:22,000 --> 00:03:24,560 Speaker 1: killed during those stretches. And looks like that's not gonna 58 00:03:24,560 --> 00:03:27,240 Speaker 1: happen at all in one. But we do have a 59 00:03:27,320 --> 00:03:30,520 Speaker 1: small series of cold fronts happening across the country at 60 00:03:30,520 --> 00:03:33,000 Speaker 1: different parts this week, Um, and that might be the 61 00:03:33,000 --> 00:03:35,080 Speaker 1: best that we get this year for that cold front 62 00:03:35,080 --> 00:03:38,920 Speaker 1: in the first half of October. Knowing that, Mark and 63 00:03:38,960 --> 00:03:41,200 Speaker 1: that the small cold fronts are happening, how would that 64 00:03:41,320 --> 00:03:44,400 Speaker 1: change your mindset hunting in a state where you're getting 65 00:03:44,400 --> 00:03:47,240 Speaker 1: that dip in temperature coming up. Yeah, he made a 66 00:03:47,240 --> 00:03:49,760 Speaker 1: great point. I mean, this has been one of the 67 00:03:49,960 --> 00:03:53,720 Speaker 1: more disappointing years I can remember. As far as October weather. 68 00:03:54,040 --> 00:03:55,960 Speaker 1: It's it's at least in the areas I've been looking 69 00:03:56,000 --> 00:03:58,320 Speaker 1: at on the map and on the forecast, and here 70 00:03:58,320 --> 00:04:04,000 Speaker 1: in Michigan very warm, above average temperatures consistently throughout all 71 00:04:04,040 --> 00:04:06,560 Speaker 1: of late September and now all the way through mid October. 72 00:04:06,600 --> 00:04:10,520 Speaker 1: And the long term forecast doesn't look terribly promising. But 73 00:04:10,680 --> 00:04:14,240 Speaker 1: as you mentioned, there is a little bit of hope. Um, 74 00:04:14,360 --> 00:04:18,599 Speaker 1: we've got a decent temperature drop coming up this week. Um, 75 00:04:18,680 --> 00:04:21,320 Speaker 1: And and in some places it's actually happening. It's gonna 76 00:04:21,320 --> 00:04:23,200 Speaker 1: depend on where you are in the country. Some people 77 00:04:23,200 --> 00:04:25,480 Speaker 1: are going to hit the day before this podcast comes out, 78 00:04:25,800 --> 00:04:27,520 Speaker 1: So if you're listening to this on Wednesday when it 79 00:04:27,600 --> 00:04:30,360 Speaker 1: came out, you might be experiencing it like right now. Um. 80 00:04:30,720 --> 00:04:33,679 Speaker 1: For other people, there's another little drop coming in the weekend. 81 00:04:34,160 --> 00:04:37,040 Speaker 1: So there's this like Tuesday Wednesday drop in some rain 82 00:04:37,160 --> 00:04:39,320 Speaker 1: that's pushing through across the middle of the country, and 83 00:04:39,400 --> 00:04:43,960 Speaker 1: then another little drop on the weekend. So you know, 84 00:04:44,040 --> 00:04:46,320 Speaker 1: It's not like the twenty degree temperature drop from six 85 00:04:46,520 --> 00:04:49,240 Speaker 1: to forty that would just send it screaming and really 86 00:04:49,320 --> 00:04:52,000 Speaker 1: get people super duper excited. But I think in some 87 00:04:52,120 --> 00:04:55,560 Speaker 1: places you're seeing that ten twelve degree dip in the 88 00:04:56,120 --> 00:04:59,080 Speaker 1: highs for the day, and I would look at that 89 00:04:59,360 --> 00:05:03,000 Speaker 1: as a sweetener as and by that, I mean it's 90 00:05:03,040 --> 00:05:04,760 Speaker 1: not the kind of thing that's gonna force me to 91 00:05:05,040 --> 00:05:08,560 Speaker 1: change all my plans and in the cancel basketball practice 92 00:05:08,640 --> 00:05:10,800 Speaker 1: and canceled date night and say I gotta be out there. 93 00:05:10,880 --> 00:05:13,200 Speaker 1: This is like what this is the October cold front 94 00:05:13,240 --> 00:05:15,840 Speaker 1: that's gonna really kick things off and get them all 95 00:05:15,880 --> 00:05:18,960 Speaker 1: on their feet. Um that sometimes you see, I think 96 00:05:19,040 --> 00:05:21,840 Speaker 1: this is more of one of those deals where if 97 00:05:22,000 --> 00:05:24,920 Speaker 1: you are zeroing in on a buck already in mid October, 98 00:05:25,080 --> 00:05:27,920 Speaker 1: if you've been seeing about this moving place close to 99 00:05:28,000 --> 00:05:30,640 Speaker 1: daylight on trail camera, or if you've been scouting your 100 00:05:30,680 --> 00:05:32,400 Speaker 1: way in on some public land and you're getting in 101 00:05:32,520 --> 00:05:34,840 Speaker 1: on that good sign and you're thinking, man, I just 102 00:05:34,960 --> 00:05:36,720 Speaker 1: need the right conditions one day and I'm gonna make 103 00:05:36,760 --> 00:05:39,120 Speaker 1: that final move and pushing a hundred derris closer to 104 00:05:39,200 --> 00:05:42,719 Speaker 1: that betting area. Um, this might be that little bump 105 00:05:42,960 --> 00:05:47,040 Speaker 1: that might help UM a little bit. Cooler temperatures like 106 00:05:47,120 --> 00:05:49,560 Speaker 1: after eight year degree day, a sixty five degree day 107 00:05:49,600 --> 00:05:52,440 Speaker 1: and some light rain just might be enough to get 108 00:05:52,480 --> 00:05:54,000 Speaker 1: that big boy to think, you know what, I'm gonna 109 00:05:54,000 --> 00:05:56,280 Speaker 1: move just a little bit earlier. Today it's feeling good, 110 00:05:56,720 --> 00:06:00,000 Speaker 1: it's not so hot and uncomfortable. So fifteen minutes before 111 00:06:00,160 --> 00:06:02,640 Speaker 1: dark he's up on his feet feeding on acorns, while 112 00:06:02,839 --> 00:06:05,800 Speaker 1: the four previous days maybe he was waiting until fifteen 113 00:06:05,800 --> 00:06:08,640 Speaker 1: minutes after dark. Um. So so I look at it 114 00:06:08,720 --> 00:06:10,960 Speaker 1: as just a little sweetener that might make things a 115 00:06:11,040 --> 00:06:13,520 Speaker 1: little bit better. And if I've been waiting for that 116 00:06:13,680 --> 00:06:15,840 Speaker 1: moment to give me a little edge, but everything else 117 00:06:15,880 --> 00:06:18,920 Speaker 1: has lined up pretty well. This is that kind of thing. Uh. 118 00:06:19,360 --> 00:06:21,440 Speaker 1: But to reiterate, this isn't the kind of deal that 119 00:06:21,520 --> 00:06:24,440 Speaker 1: I throw away all caution and go crazy. I'm I'm 120 00:06:24,520 --> 00:06:26,520 Speaker 1: still wanting a bunch of the other pieces of the 121 00:06:26,600 --> 00:06:30,200 Speaker 1: pie in place before I do something really aggressive. UM. 122 00:06:30,839 --> 00:06:32,480 Speaker 1: On the flip side, if you're just looking to have, 123 00:06:32,839 --> 00:06:34,240 Speaker 1: you know, if you have time to go out to hunt, 124 00:06:34,360 --> 00:06:36,520 Speaker 1: this should make for pretty decent days. I think these 125 00:06:36,560 --> 00:06:39,400 Speaker 1: are good days to get out there, whether you're hunting private, 126 00:06:39,480 --> 00:06:42,400 Speaker 1: or public um. It's better than eighty degrees for two 127 00:06:42,440 --> 00:06:44,760 Speaker 1: weeks straight. I'd rather have these little dips than nothing. 128 00:06:45,040 --> 00:06:48,080 Speaker 1: So I think it's gonna be interesting. I'm I'm looking 129 00:06:48,120 --> 00:06:51,520 Speaker 1: at actually a little drop coming in uh here this week. 130 00:06:51,640 --> 00:06:54,640 Speaker 1: That I wasn't planning on hunting this week because I 131 00:06:54,960 --> 00:06:57,680 Speaker 1: just have a week here between trips, but I might 132 00:06:58,320 --> 00:07:01,000 Speaker 1: I might slip out for any evening and just see 133 00:07:01,279 --> 00:07:05,000 Speaker 1: see what's happening, because you never know, you know, the 134 00:07:05,080 --> 00:07:07,680 Speaker 1: mid October lull, as we talked about last week, it's 135 00:07:07,760 --> 00:07:09,840 Speaker 1: it's not so much a lull as it's a change. 136 00:07:10,160 --> 00:07:12,680 Speaker 1: And I feel confident that I know how these deer change, 137 00:07:12,720 --> 00:07:15,160 Speaker 1: and that little dip a temperature might just be enough 138 00:07:15,240 --> 00:07:17,640 Speaker 1: to give me an opportunity. I will tell you. One 139 00:07:17,680 --> 00:07:20,600 Speaker 1: other thing is that I was I got home from 140 00:07:20,720 --> 00:07:23,920 Speaker 1: d C last night and I was able to glass 141 00:07:23,960 --> 00:07:25,440 Speaker 1: one of the spots I hunt just for a little bit. 142 00:07:25,440 --> 00:07:28,600 Speaker 1: I did a little quick look out there, and I 143 00:07:28,720 --> 00:07:34,000 Speaker 1: did seem deer moving, you know, half hour I think 144 00:07:34,040 --> 00:07:36,240 Speaker 1: it was like a half hour, forty five minutes before dark, 145 00:07:36,320 --> 00:07:38,520 Speaker 1: and I saw a decent number of deer moving around already. 146 00:07:38,840 --> 00:07:41,720 Speaker 1: And I did see one of the like maybe three 147 00:07:41,880 --> 00:07:45,880 Speaker 1: year old, maybe older buck. He was actually running around 148 00:07:45,960 --> 00:07:49,360 Speaker 1: chasing does I. I don't think that's like a rut thing. 149 00:07:49,440 --> 00:07:52,080 Speaker 1: I think that's just um, you know, he's feeling a 150 00:07:52,080 --> 00:07:55,600 Speaker 1: little frisky and was excitable. So I'm not reading into that, 151 00:07:55,920 --> 00:07:58,480 Speaker 1: but it was, you know, he was he was eager 152 00:07:58,800 --> 00:08:01,400 Speaker 1: and bumping does around and look good out there. So 153 00:08:02,320 --> 00:08:04,800 Speaker 1: there's there's that He's abut that. I don't think I'm 154 00:08:04,880 --> 00:08:06,640 Speaker 1: targeting this year, so that doesn't make me want to 155 00:08:06,720 --> 00:08:08,320 Speaker 1: jump in there, but it was it was nice to 156 00:08:08,360 --> 00:08:11,320 Speaker 1: see and mark, what if the weather man is wrong? 157 00:08:11,480 --> 00:08:14,880 Speaker 1: What if this coming weekend, instead of like an eleven 158 00:08:14,960 --> 00:08:17,960 Speaker 1: degree cold cold front, it's a twenty three degree cold 159 00:08:18,040 --> 00:08:20,840 Speaker 1: front and we have this big drop in temperature. What 160 00:08:20,920 --> 00:08:23,960 Speaker 1: are you going to do differently then? So in that case, 161 00:08:24,040 --> 00:08:27,440 Speaker 1: it's it's all right, this is really good. And it 162 00:08:27,600 --> 00:08:29,920 Speaker 1: just seems like year after year when we see that 163 00:08:30,080 --> 00:08:32,920 Speaker 1: really big first cold front of October roll through where 164 00:08:32,960 --> 00:08:36,920 Speaker 1: you get that twenty plus drop, it just seems to 165 00:08:38,320 --> 00:08:41,000 Speaker 1: I don't know, rip off the bandit or like release 166 00:08:41,120 --> 00:08:44,280 Speaker 1: the seal on on something and you do get a 167 00:08:44,400 --> 00:08:47,160 Speaker 1: special burst of movement. I've just seen it time and 168 00:08:47,240 --> 00:08:49,679 Speaker 1: time again. So in that case, I would say, Okay, 169 00:08:49,679 --> 00:08:51,800 Speaker 1: I gotta be out there. You don't want to miss that. 170 00:08:52,720 --> 00:08:56,000 Speaker 1: I'm not saying that I would always go to the 171 00:08:56,120 --> 00:08:58,240 Speaker 1: very best tree on the property. That's not the case. 172 00:08:58,320 --> 00:09:01,800 Speaker 1: Everything else has to be lined up for. But if 173 00:09:01,840 --> 00:09:05,120 Speaker 1: there's that kind of tempt swing, I'm not missing it. 174 00:09:05,520 --> 00:09:07,079 Speaker 1: If there's any way around it, I'm not going to 175 00:09:07,160 --> 00:09:09,040 Speaker 1: miss that. So that's that's the way I would look 176 00:09:09,080 --> 00:09:11,680 Speaker 1: at the difference between like a eight nine tender good 177 00:09:11,720 --> 00:09:17,120 Speaker 1: jump or drop and a like degree drop. Um. That's 178 00:09:17,240 --> 00:09:20,320 Speaker 1: that's my take. Well, for the sake of our listeners, 179 00:09:20,400 --> 00:09:24,160 Speaker 1: I hope that happens this week on the podcast, we 180 00:09:24,240 --> 00:09:27,319 Speaker 1: are also joined by Casey Smith from The Element in 181 00:09:27,400 --> 00:09:30,360 Speaker 1: South Dakota, then John Teeter from white Tail Landscapes in 182 00:09:30,400 --> 00:09:32,800 Speaker 1: New York, and then in Alabama, we talked to Parker 183 00:09:32,920 --> 00:09:36,079 Speaker 1: McDonald from Southern Ground Hunting and then we end with 184 00:09:36,240 --> 00:09:39,719 Speaker 1: Todd Graf from bow Hunting dot Com in Illinois. And 185 00:09:39,800 --> 00:09:42,439 Speaker 1: the reading materials for this mark that you can find 186 00:09:42,640 --> 00:09:44,719 Speaker 1: in the description in this episode, which you're going to 187 00:09:44,800 --> 00:09:48,320 Speaker 1: be relevant to hunters right now, include how to kill 188 00:09:48,520 --> 00:09:52,160 Speaker 1: a buck Hunting Rubs by Tony Peterson. Tony breaks down 189 00:09:52,200 --> 00:09:54,760 Speaker 1: which rubs are relevant in which ones aren't, and how 190 00:09:54,800 --> 00:09:56,760 Speaker 1: to kill a buck on them in October. And then 191 00:09:56,800 --> 00:09:59,120 Speaker 1: we have the best food sources to deer haunt in 192 00:09:59,160 --> 00:10:03,439 Speaker 1: October from Tony Hansen. Tony lists three favorite food sources 193 00:10:03,480 --> 00:10:05,800 Speaker 1: to focus on right now, most of which can be 194 00:10:05,880 --> 00:10:08,160 Speaker 1: found across the country. And then we have how to 195 00:10:08,240 --> 00:10:11,280 Speaker 1: kill a nocturnal buck from you Mark Kenyon. Mark helps 196 00:10:11,360 --> 00:10:14,120 Speaker 1: you scheme for what to do if a target buck 197 00:10:14,280 --> 00:10:16,760 Speaker 1: is only showing up on trail camera outside of shooting 198 00:10:16,880 --> 00:10:19,560 Speaker 1: light in October. And then the last one is how 199 00:10:19,640 --> 00:10:22,520 Speaker 1: to kill a buck at midday in October by Tony Peterson. 200 00:10:22,600 --> 00:10:26,880 Speaker 1: Tony shares his unique perspective on hunting white tails in October. 201 00:10:27,280 --> 00:10:30,600 Speaker 1: When the sun is I see you got it all 202 00:10:30,679 --> 00:10:33,720 Speaker 1: cover there. If you're bucksling move at night, there's ideas 203 00:10:33,760 --> 00:10:35,240 Speaker 1: if it bars out there in the middle of the day. 204 00:10:35,280 --> 00:10:37,880 Speaker 1: We got your ideas. Um, I'd love to be in 205 00:10:37,880 --> 00:10:39,760 Speaker 1: the place where I can kill midday October buck. That 206 00:10:39,800 --> 00:10:42,400 Speaker 1: sounds like a nice spot. It was. It was a 207 00:10:42,480 --> 00:10:45,560 Speaker 1: fun article from Tony and uh brought us some things 208 00:10:45,600 --> 00:10:47,880 Speaker 1: that you maybe would to consider, especially if you're a 209 00:10:47,960 --> 00:10:51,040 Speaker 1: traveling bell hunter. If if you live in Pennsylvania headed 210 00:10:51,080 --> 00:10:52,959 Speaker 1: down to Ohio to haunt this weekend, or if you 211 00:10:53,080 --> 00:10:56,440 Speaker 1: live in Alabama and you're going up to Nebraska to hunts. Uh, 212 00:10:56,720 --> 00:10:59,240 Speaker 1: those are the scenarios where Tony likes to take a 213 00:10:59,320 --> 00:11:01,839 Speaker 1: swing and do some midday hunting and maybe kill a 214 00:11:01,920 --> 00:11:06,440 Speaker 1: buck at ten thirty am, when most hunters are back 215 00:11:06,480 --> 00:11:09,160 Speaker 1: in their tent sleeping by then. Yeah, I like it. 216 00:11:09,480 --> 00:11:11,800 Speaker 1: Did you get any general themes coming out of these 217 00:11:11,840 --> 00:11:14,160 Speaker 1: conversations that does anything stand out to you from these 218 00:11:14,200 --> 00:11:16,160 Speaker 1: other people that that maybe it was different than what 219 00:11:16,240 --> 00:11:21,960 Speaker 1: I mentioned here or similar? No, um, nothing, nothing big. 220 00:11:22,679 --> 00:11:26,760 Speaker 1: I would say this is predictable, but it's something that's 221 00:11:26,800 --> 00:11:28,880 Speaker 1: a theme maybe among all of the hunters that we 222 00:11:28,960 --> 00:11:32,000 Speaker 1: talked to that at this point the focus of their 223 00:11:32,040 --> 00:11:35,480 Speaker 1: trail cameras has gone to signmaking, specifically scrapes, and I 224 00:11:35,520 --> 00:11:38,719 Speaker 1: would imagine Mark that your trail cameras have been there 225 00:11:38,760 --> 00:11:41,680 Speaker 1: by now or are going to to make that shift 226 00:11:41,880 --> 00:11:44,719 Speaker 1: very soon. Is that right? Yeah, you're spot on. I 227 00:11:44,840 --> 00:11:47,200 Speaker 1: have I have some on scrapes already that I set 228 00:11:47,360 --> 00:11:49,800 Speaker 1: in late summer, just kind of putting them there ahead 229 00:11:49,800 --> 00:11:51,640 Speaker 1: of time, knowing that by the time we got to 230 00:11:51,760 --> 00:11:53,959 Speaker 1: this period that's where I wanted to be, and I 231 00:11:54,080 --> 00:11:57,960 Speaker 1: actually am considering today since since I wasn't planning hunting 232 00:11:58,000 --> 00:12:00,760 Speaker 1: this week around my local places since I'm gone the 233 00:12:00,800 --> 00:12:03,480 Speaker 1: following week, I was thinking today I might slip in 234 00:12:03,640 --> 00:12:06,240 Speaker 1: and make that final move, move those cameras to the 235 00:12:06,280 --> 00:12:08,480 Speaker 1: spots I really want them to be for mid to 236 00:12:08,640 --> 00:12:11,880 Speaker 1: late October and in early November and uh and also 237 00:12:11,960 --> 00:12:13,400 Speaker 1: get a little bit of intel because I have not 238 00:12:13,559 --> 00:12:17,679 Speaker 1: gone to check any trail cameras since uh since September, 239 00:12:17,720 --> 00:12:21,040 Speaker 1: I guess since the beginning September. So I think it 240 00:12:21,200 --> 00:12:23,040 Speaker 1: might be a good idea to do that since I've 241 00:12:23,120 --> 00:12:25,719 Speaker 1: got a good two week window probably where I'm not 242 00:12:26,000 --> 00:12:29,760 Speaker 1: you know, depending on activity. Unless unless I change my 243 00:12:29,840 --> 00:12:31,640 Speaker 1: mind with this front, there there's a chance I might 244 00:12:31,679 --> 00:12:33,120 Speaker 1: do that. And if that's the case, then maybe I 245 00:12:33,160 --> 00:12:34,960 Speaker 1: won't do the camera thing. So it's a little bit 246 00:12:35,040 --> 00:12:37,439 Speaker 1: up there. But yes, scrapes are where you want those 247 00:12:37,480 --> 00:12:39,880 Speaker 1: cameras right now, especially if you can get a scrape 248 00:12:39,920 --> 00:12:42,600 Speaker 1: that's back in the cover. Um, if there's a way 249 00:12:42,679 --> 00:12:45,560 Speaker 1: you can do that without blowing the area up, that's 250 00:12:45,679 --> 00:12:49,079 Speaker 1: that's always a high odds location, whether it be just 251 00:12:49,160 --> 00:12:52,480 Speaker 1: for getting inventory or actually hunting this time of year. 252 00:12:52,520 --> 00:12:55,280 Speaker 1: I mean, if if I'm hunting mid October or late October, 253 00:12:56,080 --> 00:12:59,920 Speaker 1: a good heavy community scrape that's back in there close 254 00:13:00,000 --> 00:13:02,520 Speaker 1: to a betting area, that's uh, that's a good spot 255 00:13:02,600 --> 00:13:05,839 Speaker 1: to start. So those kinds of places will be on 256 00:13:06,000 --> 00:13:07,559 Speaker 1: my mind over the next couple of weeks for sure. 257 00:13:08,640 --> 00:13:11,280 Speaker 1: Al art Mark, Well, like we said earlier, I hope 258 00:13:11,320 --> 00:13:13,760 Speaker 1: the weather man is wrong and we do get that 259 00:13:13,920 --> 00:13:15,800 Speaker 1: cold front that we had the last two years. But 260 00:13:16,000 --> 00:13:19,520 Speaker 1: in case that doesn't happen, I expect you're gonna have 261 00:13:19,600 --> 00:13:22,360 Speaker 1: some good encounters anyway, because you know what these bucks 262 00:13:22,360 --> 00:13:25,679 Speaker 1: are doing in mid October. Fingers crossed man, all right, 263 00:13:25,840 --> 00:13:30,880 Speaker 1: I will talk to you next week. Thanks Spencer, all right, 264 00:13:30,920 --> 00:13:33,199 Speaker 1: and joining us on the line. Next is Casey Smith 265 00:13:33,400 --> 00:13:36,920 Speaker 1: from Element in South Dakota. Now Casey in South Dakota. 266 00:13:37,040 --> 00:13:39,080 Speaker 1: What would you say the buck activity is ben Leley 267 00:13:39,200 --> 00:13:42,480 Speaker 1: on a scale of one to ten. So we spent 268 00:13:42,679 --> 00:13:47,199 Speaker 1: the first week of the season they guess September twenty 269 00:13:47,280 --> 00:13:51,640 Speaker 1: nights through October eight in South Dakota, and I would 270 00:13:51,640 --> 00:13:54,240 Speaker 1: say the buck activity is pretty high. Um, I mean 271 00:13:54,360 --> 00:13:59,559 Speaker 1: saw bucks every day glassing and from saddles and on 272 00:13:59,679 --> 00:14:02,000 Speaker 1: the ground as well, So I would give it a 273 00:14:02,080 --> 00:14:04,319 Speaker 1: six out of ten. I would imagine as far as 274 00:14:04,559 --> 00:14:08,520 Speaker 1: you know, just observation of bucks. A lot of tags 275 00:14:08,559 --> 00:14:11,240 Speaker 1: in your group were filled the yours included. Were there 276 00:14:11,280 --> 00:14:15,000 Speaker 1: any commonalities between the setups when those tags were filled 277 00:14:15,000 --> 00:14:18,880 Speaker 1: on public land in South Dakota for you guys, Yeah, absolutely. 278 00:14:18,880 --> 00:14:22,680 Speaker 1: I'd say the big commonality was just hunting deer um 279 00:14:23,240 --> 00:14:26,560 Speaker 1: in relation to food sources. Um. They didn't really matter 280 00:14:26,720 --> 00:14:28,600 Speaker 1: morning the evening. I would say the mornings we had 281 00:14:28,720 --> 00:14:31,280 Speaker 1: better attivty because it was just we kind of were 282 00:14:31,320 --> 00:14:33,560 Speaker 1: there on a hot streak as far as weather goes. 283 00:14:33,680 --> 00:14:36,160 Speaker 1: You know, it was getting up into the eighties almost 284 00:14:36,200 --> 00:14:38,280 Speaker 1: every day, so the evening you had just a really 285 00:14:38,320 --> 00:14:40,840 Speaker 1: small window of deer movement. But in the mornings there 286 00:14:40,920 --> 00:14:42,880 Speaker 1: really was quite a bit of time that you know, 287 00:14:43,120 --> 00:14:46,400 Speaker 1: deer were on their feet and uh there were really 288 00:14:46,520 --> 00:14:50,040 Speaker 1: relating to standing crops that were still around, like corn especially. 289 00:14:50,200 --> 00:14:52,080 Speaker 1: We had the intent of going up there and hunt 290 00:14:52,120 --> 00:14:53,960 Speaker 1: deer around al falfa because we've seen that pattern in 291 00:14:54,000 --> 00:14:56,800 Speaker 1: the past, kind of adjusted because how much they were 292 00:14:56,840 --> 00:14:59,840 Speaker 1: hitting corn um, and I think that, you know, really 293 00:15:00,080 --> 00:15:01,560 Speaker 1: was the thing. We found a few scrapes, and of 294 00:15:01,600 --> 00:15:03,440 Speaker 1: course there's some rubs already starting to pop up. But 295 00:15:04,040 --> 00:15:06,600 Speaker 1: you know, really the tactic was to get between food 296 00:15:06,640 --> 00:15:09,720 Speaker 1: and bedding. That part of the country has had a 297 00:15:09,800 --> 00:15:14,400 Speaker 1: severe drought lately. Did water factory into your haunts at all, um, 298 00:15:15,080 --> 00:15:18,560 Speaker 1: It's definitely something we considered, uh And one of the 299 00:15:18,680 --> 00:15:20,520 Speaker 1: interesting things that I did see that I don't see 300 00:15:20,520 --> 00:15:22,920 Speaker 1: in other parts of the country, at least I haven't observed. 301 00:15:22,920 --> 00:15:26,000 Speaker 1: I'm sure it happens, but dear, we're relating to major 302 00:15:26,200 --> 00:15:28,720 Speaker 1: water sources. You know, where we're from, the northeast Texas. 303 00:15:28,720 --> 00:15:30,800 Speaker 1: A lot of times it's just little slows and ditches 304 00:15:30,840 --> 00:15:33,920 Speaker 1: and things that they have around everywhere they can find water. 305 00:15:34,040 --> 00:15:36,240 Speaker 1: But there it was like, you know, they wanted to 306 00:15:36,280 --> 00:15:39,400 Speaker 1: be near the big bodies of water to you know, 307 00:15:39,520 --> 00:15:43,360 Speaker 1: have a consistent water source, its seemed. But no direct 308 00:15:43,440 --> 00:15:45,800 Speaker 1: hunting over water, but it definitely was a thing where 309 00:15:45,840 --> 00:15:47,840 Speaker 1: you didn't want to go somewhere where there was no 310 00:15:48,000 --> 00:15:51,360 Speaker 1: water at all. To be as successful as you guys 311 00:15:51,480 --> 00:15:54,320 Speaker 1: were on that trip, you're in seasoned scouting had to 312 00:15:54,360 --> 00:15:56,360 Speaker 1: be perfect. So tell me about what you were looking 313 00:15:56,440 --> 00:15:58,480 Speaker 1: for when you had boots on the ground or glassing 314 00:15:58,520 --> 00:16:03,760 Speaker 1: from Afar. Yeah sure, so, um, we really did our best. 315 00:16:03,920 --> 00:16:07,080 Speaker 1: We went up there with a day uh to you know, 316 00:16:07,600 --> 00:16:10,760 Speaker 1: spend the whole time scouting, driving around, looking for food sources, 317 00:16:10,840 --> 00:16:14,040 Speaker 1: looking for cover, looking for pressure. Pressure actually kind of 318 00:16:14,080 --> 00:16:15,840 Speaker 1: played a big role in this. I mean the pressure 319 00:16:15,880 --> 00:16:18,320 Speaker 1: is relative, right. I mean, if you go to say 320 00:16:18,400 --> 00:16:20,320 Speaker 1: one of the National forest here in Texas, there's gonna 321 00:16:20,320 --> 00:16:22,320 Speaker 1: be people everywhere, and you go to a real place 322 00:16:22,360 --> 00:16:24,320 Speaker 1: like South Dakota, it's not near as men people, but 323 00:16:24,480 --> 00:16:27,640 Speaker 1: still the deer react to it in a relative fashion. 324 00:16:27,760 --> 00:16:29,800 Speaker 1: So there were a couple other groups of hunters in 325 00:16:29,840 --> 00:16:32,920 Speaker 1: the area that we were and uh, it actually rained 326 00:16:33,280 --> 00:16:36,120 Speaker 1: the first day we were there. We were able to tell, 327 00:16:36,360 --> 00:16:39,160 Speaker 1: you know, pretty much where people were driving recently. And 328 00:16:39,320 --> 00:16:42,040 Speaker 1: we found that a lot of times the places where 329 00:16:42,080 --> 00:16:44,800 Speaker 1: there were no truck tracks you know, that were fresh 330 00:16:44,840 --> 00:16:47,680 Speaker 1: since the rain, that's where you know, gene activity behind 331 00:16:47,720 --> 00:16:50,480 Speaker 1: those deer weren't bumped around. So that made a difference, 332 00:16:50,560 --> 00:16:53,840 Speaker 1: you know. And also just finding the hot food sources 333 00:16:53,920 --> 00:16:58,000 Speaker 1: like corn especially and uh also alfalfa and clover actually 334 00:16:58,080 --> 00:17:00,280 Speaker 1: end up killing my dear. Funny enough, I kill my 335 00:17:00,360 --> 00:17:05,440 Speaker 1: dear over a natural food source. It was the sumac 336 00:17:05,520 --> 00:17:07,800 Speaker 1: bushes around. There's what they were really feeding on on 337 00:17:07,880 --> 00:17:11,200 Speaker 1: their way too, you know, evening feed at the eggs field. 338 00:17:11,280 --> 00:17:12,840 Speaker 1: So I set up on an area that had a 339 00:17:12,880 --> 00:17:15,480 Speaker 1: bunch of sumac, and the deer got up out of 340 00:17:15,520 --> 00:17:17,080 Speaker 1: his bed and just fit on that stuff and fed 341 00:17:17,119 --> 00:17:20,200 Speaker 1: around until he meandered about thirty yards from me and 342 00:17:20,359 --> 00:17:22,840 Speaker 1: I got to shooting. So it's pretty cool. With the 343 00:17:22,920 --> 00:17:25,119 Speaker 1: consideration that you were going to be there in early 344 00:17:25,240 --> 00:17:27,960 Speaker 1: to mid October, what were you looking for on aerial 345 00:17:28,000 --> 00:17:33,760 Speaker 1: scouting ahead of time? Uh, crop fields, Uh, definitely paid 346 00:17:33,760 --> 00:17:38,720 Speaker 1: attention to that. And then um, just habitat pockets. You know, 347 00:17:39,280 --> 00:17:41,680 Speaker 1: you're being from South Dakota, of course, I'm sure you understand. 348 00:17:41,760 --> 00:17:44,560 Speaker 1: But it's not like much of the eastern part of 349 00:17:44,560 --> 00:17:48,080 Speaker 1: the country where habitat is just unlimited. You know. Habitat 350 00:17:48,160 --> 00:17:51,080 Speaker 1: is definitely the limited um factor when it comes to 351 00:17:51,240 --> 00:17:55,239 Speaker 1: places where white tail, especially lives. So if you can 352 00:17:55,280 --> 00:17:57,840 Speaker 1: find a place that has, you know, a decent amount 353 00:17:57,880 --> 00:18:01,280 Speaker 1: of cover, especially with the hots Greek in the drought, 354 00:18:01,320 --> 00:18:03,159 Speaker 1: you know, possibly and we were even thinking about the 355 00:18:03,200 --> 00:18:04,960 Speaker 1: north facing stuff, kind of like what you think about 356 00:18:04,960 --> 00:18:07,560 Speaker 1: with elk. Find you some good north facing slopes that 357 00:18:07,680 --> 00:18:10,560 Speaker 1: have decent cover, uh you know, on the aerial and 358 00:18:11,040 --> 00:18:13,520 Speaker 1: you can definitely at least have an idea of where 359 00:18:13,520 --> 00:18:16,399 Speaker 1: a deer might be spending their daytime of hours. How 360 00:18:16,440 --> 00:18:19,119 Speaker 1: did morning movement vary from evening movement based on what 361 00:18:19,200 --> 00:18:24,480 Speaker 1: you guys saw during the trip, I think definitely, um 362 00:18:24,760 --> 00:18:28,600 Speaker 1: more movement was more extended because that was the cool 363 00:18:28,680 --> 00:18:32,040 Speaker 1: part of the day. You know. Um, the way these 364 00:18:32,560 --> 00:18:35,520 Speaker 1: early October days go in the uh kind of the 365 00:18:35,880 --> 00:18:38,159 Speaker 1: Great Plain States is you end up with kind of 366 00:18:38,240 --> 00:18:40,800 Speaker 1: some summer temperatures almost in the afternoon, but you still 367 00:18:40,840 --> 00:18:44,440 Speaker 1: have cold nights. So in those linger into the mornings 368 00:18:44,520 --> 00:18:47,639 Speaker 1: where you know you might have dear movement up you know, 369 00:18:47,760 --> 00:18:51,560 Speaker 1: eight thirty or nine am. I think, um, so I 370 00:18:51,680 --> 00:18:54,840 Speaker 1: sat on day six and saw him a cheer buck 371 00:18:54,880 --> 00:18:56,960 Speaker 1: go back to bed on one of those north facing 372 00:18:56,960 --> 00:19:00,280 Speaker 1: slopes at nine fourteen, and then you contract set to 373 00:19:00,359 --> 00:19:02,800 Speaker 1: the buck. I shot. You know, he was moving. He 374 00:19:02,840 --> 00:19:05,560 Speaker 1: actually moved earlier than most here in the evening, but 375 00:19:05,680 --> 00:19:09,040 Speaker 1: he's still you know. I shot him at um six fifteen, 376 00:19:09,080 --> 00:19:11,600 Speaker 1: which is that hour and a half before the end 377 00:19:11,640 --> 00:19:13,440 Speaker 1: of a legal shooting lot, and most of the time 378 00:19:13,520 --> 00:19:15,760 Speaker 1: we were seeing deer after the sun went down in 379 00:19:15,880 --> 00:19:19,359 Speaker 1: the evenings. So you know, if you wanted an opportunity 380 00:19:19,359 --> 00:19:22,560 Speaker 1: to catch deer on their feet and um not have 381 00:19:22,760 --> 00:19:25,560 Speaker 1: to be so close into you know, betting stuff where 382 00:19:25,600 --> 00:19:28,440 Speaker 1: you can bump them, the morning was the time to be, 383 00:19:29,119 --> 00:19:32,040 Speaker 1: you know, sitting it out and and waiting on you 384 00:19:32,200 --> 00:19:34,879 Speaker 1: to come by. Going forward, then this next week or so, 385 00:19:35,080 --> 00:19:36,600 Speaker 1: what do you think that bucket ATVT is going to 386 00:19:36,680 --> 00:19:39,120 Speaker 1: be on a scale of one to ten in South Dakota, 387 00:19:40,680 --> 00:19:42,840 Speaker 1: It's gonna be relevant to weather. I haven't looked at 388 00:19:42,880 --> 00:19:45,879 Speaker 1: the weather outlook, of course, but uh, you know, if 389 00:19:45,920 --> 00:19:48,600 Speaker 1: it continues with those hot temperatures and there's it's probably 390 00:19:48,640 --> 00:19:51,439 Speaker 1: gonna stay pretty close to the same. You know. Um, 391 00:19:53,000 --> 00:19:55,639 Speaker 1: if they got you know, some weather pushed through and 392 00:19:55,720 --> 00:19:58,240 Speaker 1: drop those teens ten and fifteen degrees compared to the 393 00:19:58,280 --> 00:20:00,800 Speaker 1: recent averages, I bet you. And see you know, kind 394 00:20:00,840 --> 00:20:04,000 Speaker 1: of an influx of movement, especially towards scrapes and stuff 395 00:20:04,000 --> 00:20:06,720 Speaker 1: that's October pushes on. I do know this. While we 396 00:20:06,760 --> 00:20:10,359 Speaker 1: were up there, I saw uh, good size books fighting 397 00:20:10,640 --> 00:20:14,280 Speaker 1: you know and sparring and kind of going through that 398 00:20:14,680 --> 00:20:17,159 Speaker 1: um time period where they're starting to split up and 399 00:20:17,640 --> 00:20:19,240 Speaker 1: who used to be my friend is now my enemy 400 00:20:19,320 --> 00:20:20,920 Speaker 1: kind of thing. You know, we were still seeing bucks 401 00:20:20,960 --> 00:20:23,359 Speaker 1: in bachelor groups, but they were sparring and not just 402 00:20:23,480 --> 00:20:26,960 Speaker 1: friendly sparring either. So I would imagine that you'll probably 403 00:20:27,000 --> 00:20:29,359 Speaker 1: have some dispersion of deer, you know, kind of deer 404 00:20:29,560 --> 00:20:32,000 Speaker 1: kind of moving into their fall ranges, and uh, that 405 00:20:32,080 --> 00:20:34,520 Speaker 1: could spell some good things for guys who maybe haven't 406 00:20:34,560 --> 00:20:37,440 Speaker 1: been seeing quite as many books yet. All right, Casey, 407 00:20:37,600 --> 00:20:40,240 Speaker 1: congrats you and Tyler and everyone else in deer camp. 408 00:20:40,520 --> 00:20:41,960 Speaker 1: Thanks for joining me in. Good luck with the rest 409 00:20:42,000 --> 00:20:45,240 Speaker 1: of your season. Awesome, Spencer, thanks man, all right and 410 00:20:45,320 --> 00:20:47,720 Speaker 1: joining us on the line. Next is John Teeter in 411 00:20:47,800 --> 00:20:50,840 Speaker 1: New York from Whitetail Landscapes. Now, John in New York, 412 00:20:50,960 --> 00:20:53,040 Speaker 1: what would you say the buck activity has been lately 413 00:20:53,119 --> 00:20:56,600 Speaker 1: on a scale of one to ten. Let's see this 414 00:20:56,760 --> 00:21:00,840 Speaker 1: past week, Spenser, we've seen, uh, definitely an increase in activity. Um, 415 00:21:00,920 --> 00:21:03,600 Speaker 1: I think that's gonna decline, but currently I would say 416 00:21:03,880 --> 00:21:07,800 Speaker 1: it's probably in the six range. Now, you just killed 417 00:21:07,840 --> 00:21:10,800 Speaker 1: a slammer buck earlier this month in New York. Tell 418 00:21:10,840 --> 00:21:12,640 Speaker 1: us about that set up, why you were in that spot, 419 00:21:12,720 --> 00:21:15,960 Speaker 1: and why that buck was in that spot. Yeah, you know, 420 00:21:16,040 --> 00:21:20,119 Speaker 1: a green food source isolated, Um, the kind of a 421 00:21:20,240 --> 00:21:23,399 Speaker 1: major draw, A lot of variability in that food source, 422 00:21:23,520 --> 00:21:26,159 Speaker 1: kind of pulled that deer in. Hunted that deer in 423 00:21:26,280 --> 00:21:29,720 Speaker 1: a rainy, stormy day. Um, and and he had a 424 00:21:29,800 --> 00:21:33,920 Speaker 1: lot of patterns of interest in that food source. On 425 00:21:34,040 --> 00:21:36,840 Speaker 1: those conditions, I'm going to say the food source really 426 00:21:36,920 --> 00:21:39,119 Speaker 1: was kind of a major draw there. Um. So I 427 00:21:39,160 --> 00:21:41,560 Speaker 1: would say for everyone early season, focus on those food 428 00:21:41,600 --> 00:21:45,120 Speaker 1: sources that that that helps get get you know, attracts 429 00:21:45,200 --> 00:21:47,320 Speaker 1: there and pulls them right into a kind of a 430 00:21:47,400 --> 00:21:50,879 Speaker 1: kill spot. John as a property consultant, what are some 431 00:21:51,080 --> 00:21:54,280 Speaker 1: things that land managers can do to a property to 432 00:21:54,400 --> 00:21:58,680 Speaker 1: make them hunt better for the month of October. Yeah, 433 00:21:58,840 --> 00:22:01,280 Speaker 1: you know, there's a lot of options for individual landowners 434 00:22:01,359 --> 00:22:04,000 Speaker 1: if you have the ability to manipulate. You know, for 435 00:22:04,119 --> 00:22:06,840 Speaker 1: that particular deer that I had mentioned earlier, I had 436 00:22:06,920 --> 00:22:09,639 Speaker 1: went in and manipulated a betting area of specifically to 437 00:22:09,760 --> 00:22:12,080 Speaker 1: kill that deer. Um. What I did was I cut 438 00:22:12,119 --> 00:22:16,040 Speaker 1: a lot of timber in there in August, instant food 439 00:22:16,080 --> 00:22:20,439 Speaker 1: source and drawing him across basically from other properties, um 440 00:22:20,720 --> 00:22:23,159 Speaker 1: to make him more resident. That that would be a 441 00:22:23,280 --> 00:22:27,639 Speaker 1: good option. Focusing on native food sources. That's another, uh, 442 00:22:28,000 --> 00:22:31,159 Speaker 1: great example. When you cut timber, you're gonna get a 443 00:22:31,200 --> 00:22:33,600 Speaker 1: lot of native browse, So focusing on the native browse 444 00:22:34,200 --> 00:22:36,400 Speaker 1: and then really cultivating those areas. But you can put 445 00:22:36,440 --> 00:22:39,359 Speaker 1: planet food embedding areas. Um. You know, don't forget to 446 00:22:39,440 --> 00:22:42,240 Speaker 1: add you know, a grain. Uh. A good example in 447 00:22:42,760 --> 00:22:46,200 Speaker 1: the northern climates is winter rye planning, you know, just 448 00:22:46,400 --> 00:22:50,359 Speaker 1: before right around September. That can be an excellent draw, 449 00:22:50,720 --> 00:22:52,560 Speaker 1: particularly if you have enough available so light in those 450 00:22:52,800 --> 00:22:56,719 Speaker 1: those timbered areas. You mentioned native food sources. What are 451 00:22:56,760 --> 00:22:59,000 Speaker 1: some natural food sources that guys should be looking to 452 00:22:59,240 --> 00:23:01,520 Speaker 1: right now in the want of October in the northeast. 453 00:23:03,280 --> 00:23:05,520 Speaker 1: You know, it's all over the place. When I was 454 00:23:05,600 --> 00:23:08,840 Speaker 1: set up on that hunt that I was telling about earlier, 455 00:23:09,200 --> 00:23:11,240 Speaker 1: you know, I have a lot of native brows in 456 00:23:11,320 --> 00:23:14,200 Speaker 1: that area, a lot of for food sources. But it 457 00:23:14,280 --> 00:23:17,199 Speaker 1: was interesting I actually saw a deer eating wild grape um, 458 00:23:17,600 --> 00:23:20,440 Speaker 1: not the grape leaves themselves, the actual grapes um. So 459 00:23:20,560 --> 00:23:23,320 Speaker 1: that that was kind of an interesting Any any fruit, 460 00:23:23,359 --> 00:23:26,760 Speaker 1: any available fruit that includes blackberries, anything that's available at 461 00:23:26,800 --> 00:23:30,120 Speaker 1: that time, um would would be as a source of interest. UM. 462 00:23:30,320 --> 00:23:33,200 Speaker 1: So soft masses is a real big focus at time 463 00:23:33,560 --> 00:23:36,159 Speaker 1: time of year, especially early season. And is there anything 464 00:23:36,240 --> 00:23:37,920 Speaker 1: you like to do to a property to make it 465 00:23:38,040 --> 00:23:41,320 Speaker 1: easier for deer to communicate through scrapes and drubs or 466 00:23:41,400 --> 00:23:43,360 Speaker 1: is that not something you really consider when you're making 467 00:23:43,480 --> 00:23:48,240 Speaker 1: land changes. Absolutely, UM, trying to create social hubs for 468 00:23:48,320 --> 00:23:51,080 Speaker 1: these deer, just to create a level attraction for for 469 00:23:51,200 --> 00:23:53,720 Speaker 1: them to kind of congregate. They're always in there's always 470 00:23:53,720 --> 00:23:55,960 Speaker 1: a packing order and their social cues that that I 471 00:23:56,080 --> 00:23:58,239 Speaker 1: kind of that I kind of focus in on. UM. 472 00:23:58,359 --> 00:24:01,400 Speaker 1: I think the idea of introduced seeing uh, scrape trees 473 00:24:01,520 --> 00:24:04,959 Speaker 1: or scrape sticks, something along those lines in either remote 474 00:24:05,000 --> 00:24:08,480 Speaker 1: areas or in transition areas. UM. It's all about data collections. 475 00:24:08,520 --> 00:24:11,280 Speaker 1: So watching those deer and the frequency of them, you know, 476 00:24:11,320 --> 00:24:13,800 Speaker 1: approaching those areas and trying to get data of when 477 00:24:13,880 --> 00:24:16,200 Speaker 1: and when and when not they move in those areas 478 00:24:16,240 --> 00:24:19,439 Speaker 1: is pretty much critical. So I think social aspect, right now, 479 00:24:19,520 --> 00:24:22,159 Speaker 1: you're gonna start to see, uh, you know this this 480 00:24:22,520 --> 00:24:25,160 Speaker 1: co mingling of deer right now, You're you're noticing bucks 481 00:24:25,200 --> 00:24:28,960 Speaker 1: and does very segregated. You're also noticing the mature deer 482 00:24:29,160 --> 00:24:32,440 Speaker 1: are starting to split up. Sometimes they co mingle and 483 00:24:32,480 --> 00:24:34,480 Speaker 1: you'll start to see a lot of segregation over the 484 00:24:34,560 --> 00:24:36,960 Speaker 1: next next couple of weeks. Where are you running a 485 00:24:36,960 --> 00:24:40,600 Speaker 1: lot of your trail cameras right now? Uh? You know, 486 00:24:40,720 --> 00:24:45,440 Speaker 1: I I run them in various locations. UM, you know, 487 00:24:45,600 --> 00:24:48,159 Speaker 1: I I have a tendency to have you know, I 488 00:24:48,200 --> 00:24:52,159 Speaker 1: guess perennial scrapes that that I focus on all season long. Um. 489 00:24:52,440 --> 00:24:55,639 Speaker 1: But a lot of it's just transitional movement, uh, you know, 490 00:24:55,760 --> 00:24:58,800 Speaker 1: basically taking these areas of deer like to bet in. Uh. 491 00:24:58,920 --> 00:25:01,080 Speaker 1: And I'm usually folk you see a wind based betting, 492 00:25:01,480 --> 00:25:04,200 Speaker 1: but kind of sourcing them down or necking them down 493 00:25:04,520 --> 00:25:06,800 Speaker 1: and in those locations and transition to either a food 494 00:25:06,880 --> 00:25:09,159 Speaker 1: source or another betting area. That's where I'm getting my 495 00:25:09,240 --> 00:25:12,080 Speaker 1: data going forward. Then, in this next week or so, 496 00:25:12,320 --> 00:25:13,960 Speaker 1: what do you think that buck activty is going to 497 00:25:14,040 --> 00:25:16,359 Speaker 1: be on a scale of one to ten in New York? 498 00:25:18,119 --> 00:25:21,800 Speaker 1: I think it's gonna drop down to a four. We've 499 00:25:21,840 --> 00:25:25,040 Speaker 1: got some warm tompsterures coming in. The deer's ability to 500 00:25:25,119 --> 00:25:27,720 Speaker 1: thermal regulate, they've got winter coats at this point is 501 00:25:28,440 --> 00:25:32,159 Speaker 1: uh is difficult. So I would recommend that individuals that 502 00:25:32,240 --> 00:25:35,480 Speaker 1: are going after a deer think about that their ability 503 00:25:35,520 --> 00:25:37,440 Speaker 1: to dissipate heat. They're going to be in low cool 504 00:25:37,480 --> 00:25:40,760 Speaker 1: areas or high iris areas that have good canopy. Those 505 00:25:40,800 --> 00:25:42,680 Speaker 1: are going to be the focus spots. I would say 506 00:25:42,720 --> 00:25:45,600 Speaker 1: it's kind of probably dropped down to a four. All right, John, 507 00:25:45,720 --> 00:25:49,480 Speaker 1: great information, great buck and thanks for joining me alright, 508 00:25:49,520 --> 00:25:52,920 Speaker 1: Thanks Spencer, appreciate it alright and joining us on the line. 509 00:25:52,960 --> 00:25:56,840 Speaker 1: Next is Parker McDonald from Southern Ground Hunting in Alabama. Now, 510 00:25:56,920 --> 00:25:59,479 Speaker 1: Parker in Alabama, what would you say the buck activity 511 00:25:59,480 --> 00:26:01,240 Speaker 1: has been ley on a scale of one to ten, 512 00:26:01,800 --> 00:26:05,199 Speaker 1: and I'd probably say it would be as low as 513 00:26:05,280 --> 00:26:09,920 Speaker 1: I've ever seen it, uh maybe a two, uh, pretty 514 00:26:09,960 --> 00:26:12,520 Speaker 1: close to that. It's it's been pretty tough man. And 515 00:26:12,680 --> 00:26:18,880 Speaker 1: what would you attribute that too? Too? So in our 516 00:26:18,960 --> 00:26:22,639 Speaker 1: early opener, there's only a few places in the in 517 00:26:22,720 --> 00:26:25,680 Speaker 1: the state of Alabama right now that are that's even open, 518 00:26:26,000 --> 00:26:29,440 Speaker 1: and it's been hot, so I think that the heat 519 00:26:29,480 --> 00:26:32,840 Speaker 1: has a lot to do with it. Um bucks are 520 00:26:33,480 --> 00:26:38,520 Speaker 1: getting to their beds as early is I mean it's 521 00:26:38,640 --> 00:26:42,000 Speaker 1: dark like for example, this morning, I actually had one 522 00:26:42,080 --> 00:26:45,159 Speaker 1: of the few encounters that I've had, uh since our 523 00:26:45,200 --> 00:26:47,200 Speaker 1: opener on October one, I've had one of the few 524 00:26:47,240 --> 00:26:51,879 Speaker 1: encounters with a buck that I've had, and um, I 525 00:26:52,000 --> 00:26:55,760 Speaker 1: just I should have killed him probably, but he he 526 00:26:55,920 --> 00:26:58,280 Speaker 1: came in behind me and ended up winning me. But 527 00:26:58,560 --> 00:27:03,760 Speaker 1: that all happened, I mean like like right at legal 528 00:27:03,800 --> 00:27:07,000 Speaker 1: shooting light, I mean right at the beginning of shooting light, 529 00:27:07,680 --> 00:27:10,639 Speaker 1: and he was headed right back to his bed on 530 00:27:10,760 --> 00:27:13,920 Speaker 1: a point um. And I think that that's kind of 531 00:27:14,000 --> 00:27:17,840 Speaker 1: been what everybody has experienced right now. We have so 532 00:27:18,000 --> 00:27:22,320 Speaker 1: many acrons on the ground um In in years past, 533 00:27:22,440 --> 00:27:24,240 Speaker 1: you know, I mean you have some years that the 534 00:27:24,320 --> 00:27:27,040 Speaker 1: acron crop is huge, some years that it's not. And 535 00:27:27,840 --> 00:27:31,680 Speaker 1: in the big woods, it's in the mountains. I have 536 00:27:31,840 --> 00:27:34,399 Speaker 1: found that when you have a year that the acron 537 00:27:34,440 --> 00:27:39,000 Speaker 1: crop is not good, it typically can up your deer 538 00:27:39,080 --> 00:27:43,040 Speaker 1: sightings a lot more because you can find those few areas. 539 00:27:43,080 --> 00:27:45,480 Speaker 1: And right now there's just acres everywhere, and so it's 540 00:27:45,520 --> 00:27:49,120 Speaker 1: hard to start to pinpoint where deer are gonna be. Um. 541 00:27:50,000 --> 00:27:53,080 Speaker 1: But you know, I mean I think most bucks have 542 00:27:53,320 --> 00:27:57,119 Speaker 1: been just they just stay laid up all day. Now. 543 00:27:57,200 --> 00:28:01,320 Speaker 1: I do know a few people who have had trail 544 00:28:01,359 --> 00:28:05,119 Speaker 1: cameras out this last uh this last week, and they 545 00:28:05,200 --> 00:28:10,200 Speaker 1: have noticed bucks getting up mid day and going and 546 00:28:10,320 --> 00:28:13,000 Speaker 1: feeding on you know, the closest acorns that they have 547 00:28:13,520 --> 00:28:15,720 Speaker 1: close to their betting areas where where their cameras are 548 00:28:15,760 --> 00:28:19,160 Speaker 1: set up and stuff. And uh, I think that has 549 00:28:19,520 --> 00:28:22,639 Speaker 1: you know, I'm not like a big, huge believer in 550 00:28:22,720 --> 00:28:25,240 Speaker 1: all the moon faced stuff, but I have seen some 551 00:28:25,960 --> 00:28:30,480 Speaker 1: evidence that could It'd be tough to argue like, uh, 552 00:28:30,760 --> 00:28:32,760 Speaker 1: like I'm seeing right now with some of my buddies 553 00:28:32,760 --> 00:28:35,560 Speaker 1: who have trail cameras and they're getting these mid day 554 00:28:36,080 --> 00:28:40,600 Speaker 1: buck pictures. Um. But you know, I think I think 555 00:28:40,640 --> 00:28:43,560 Speaker 1: it's going to continue to be like this. Probably I 556 00:28:43,680 --> 00:28:47,760 Speaker 1: typically see it starting to really ramp up around mid 557 00:28:47,880 --> 00:28:52,600 Speaker 1: October till late October or rutt in Alabama is so crazy. Um. 558 00:28:52,840 --> 00:28:54,760 Speaker 1: You have some parts of the state that rutt November, 559 00:28:55,080 --> 00:28:58,120 Speaker 1: a few parts that rut November, a lot of places 560 00:28:58,240 --> 00:29:00,200 Speaker 1: rut in December, and then a lot of the state 561 00:29:00,280 --> 00:29:03,440 Speaker 1: ruts in January. And so it really just depends on 562 00:29:03,560 --> 00:29:06,920 Speaker 1: what part of the state you're in, on what phase 563 00:29:07,040 --> 00:29:08,560 Speaker 1: you're going to be in of the rut. You know, 564 00:29:08,640 --> 00:29:11,720 Speaker 1: there there could be deer that are getting you know, 565 00:29:12,040 --> 00:29:14,600 Speaker 1: into that pre rut phase right now in some parts 566 00:29:14,640 --> 00:29:17,400 Speaker 1: of the state. But where I'm at there. They're definitely 567 00:29:17,440 --> 00:29:19,920 Speaker 1: not even close. I know you do a lot of 568 00:29:20,040 --> 00:29:23,160 Speaker 1: water access hunts. How do your water acits haunts bury 569 00:29:23,280 --> 00:29:26,800 Speaker 1: in early season versus the rut or late season. So 570 00:29:27,560 --> 00:29:32,000 Speaker 1: we started this, uh, the state of Alabama started this 571 00:29:32,680 --> 00:29:37,160 Speaker 1: where they opened up a few counties two weeks early 572 00:29:37,280 --> 00:29:39,640 Speaker 1: on October one. For years and years and years, it's 573 00:29:39,680 --> 00:29:42,640 Speaker 1: been the openers for the whole state has been October fifteen. 574 00:29:43,080 --> 00:29:45,120 Speaker 1: But they opened up a few counties that you can 575 00:29:45,160 --> 00:29:48,880 Speaker 1: actually go in and hunt on October one, and so, um, 576 00:29:50,120 --> 00:29:54,200 Speaker 1: all this time, nobody's really had the opportunity to hunt 577 00:29:55,480 --> 00:29:58,800 Speaker 1: things like per simmons until these last couple of years 578 00:29:59,360 --> 00:30:02,120 Speaker 1: where we actually get a chance to hunt them before 579 00:30:02,160 --> 00:30:04,960 Speaker 1: they're all gone. And so I've ended up. I killed 580 00:30:05,000 --> 00:30:08,920 Speaker 1: the dough last Monday, a week a week from right now, 581 00:30:09,160 --> 00:30:14,280 Speaker 1: and um she was there was like ten deer. There 582 00:30:14,320 --> 00:30:16,480 Speaker 1: were so many deer just piling out of the woods, 583 00:30:16,560 --> 00:30:18,960 Speaker 1: coming straight into these per simmons. And what I find 584 00:30:19,680 --> 00:30:24,240 Speaker 1: is a lot of that uh things. There's different types 585 00:30:24,280 --> 00:30:29,320 Speaker 1: of uh grasses that grow close to the water. Um, 586 00:30:29,840 --> 00:30:31,960 Speaker 1: and then then things like per simmons that I always 587 00:30:32,000 --> 00:30:36,240 Speaker 1: find right on the edge of the water and so 588 00:30:36,440 --> 00:30:39,280 Speaker 1: for this early season, man, most of the time, if 589 00:30:39,320 --> 00:30:41,640 Speaker 1: I'm just going out to try to see deer numbers, 590 00:30:42,200 --> 00:30:45,360 Speaker 1: I'm gonna just go and hunt somewhere close to the 591 00:30:45,840 --> 00:30:47,800 Speaker 1: edge of the water. I mean, the deer I shot 592 00:30:47,840 --> 00:30:51,120 Speaker 1: the other day literally died fifty yards away from my boat. 593 00:30:51,440 --> 00:30:55,000 Speaker 1: And so, um, once we get further on into the 594 00:30:55,080 --> 00:30:58,480 Speaker 1: season and uh bucks start getting on their feet a 595 00:30:58,520 --> 00:31:01,320 Speaker 1: little bit, I'll kind of move out or I guess 596 00:31:01,440 --> 00:31:04,160 Speaker 1: I guess moved deeper into the woods than I am 597 00:31:04,280 --> 00:31:05,960 Speaker 1: right now. But for the most part, right now, for 598 00:31:06,040 --> 00:31:08,760 Speaker 1: this early season, man, I'm I'm sticking really close to 599 00:31:08,800 --> 00:31:10,080 Speaker 1: the edge of the water because it seems to be 600 00:31:10,120 --> 00:31:12,360 Speaker 1: where the deer want to be at. When you're doing 601 00:31:12,440 --> 00:31:15,920 Speaker 1: some in season scouting in mid October and Alabama, what 602 00:31:16,000 --> 00:31:19,200 Speaker 1: are some things that you're looking for. I am looking 603 00:31:19,400 --> 00:31:24,320 Speaker 1: for like disturbances on the ground. So it's big woods 604 00:31:24,360 --> 00:31:26,960 Speaker 1: style hunting that I'm doing. And so there's not like 605 00:31:27,880 --> 00:31:32,080 Speaker 1: food plots or you know, crop fields or anything like that. 606 00:31:32,240 --> 00:31:37,960 Speaker 1: It's all woods, and I am trying to put my 607 00:31:38,040 --> 00:31:39,840 Speaker 1: boots on the ground as much as I can. Like 608 00:31:39,920 --> 00:31:42,840 Speaker 1: I started this new thing, it's called new Spot Monday, 609 00:31:43,600 --> 00:31:46,160 Speaker 1: and I just try to On Monday's I try to 610 00:31:46,240 --> 00:31:48,240 Speaker 1: go to a new spot and break that spot down 611 00:31:48,320 --> 00:31:50,600 Speaker 1: throughout the rest of the week. If I find something good, 612 00:31:50,640 --> 00:31:52,520 Speaker 1: if I find If I don't find anything good, then 613 00:31:53,080 --> 00:31:55,080 Speaker 1: I'll go back to some of the old faithful spots. 614 00:31:55,120 --> 00:31:58,000 Speaker 1: But I've really tried to challenge myself two at the 615 00:31:58,040 --> 00:32:00,880 Speaker 1: beginning of every week go in to a new area 616 00:32:01,640 --> 00:32:03,680 Speaker 1: and really look forward to a lot of this in 617 00:32:03,800 --> 00:32:07,480 Speaker 1: seasoned scouting stuff. And you know, on years like this 618 00:32:07,640 --> 00:32:10,680 Speaker 1: year where we have so many acres on the ground, 619 00:32:10,800 --> 00:32:14,320 Speaker 1: I'm just trying to find those areas that uh, you know, 620 00:32:14,520 --> 00:32:19,600 Speaker 1: vegetation transition lines meets a good terrain feature meets a 621 00:32:20,240 --> 00:32:22,960 Speaker 1: hot feed tree. If I can find those type of things, 622 00:32:23,520 --> 00:32:26,960 Speaker 1: then it may not produce anything right now, but it's 623 00:32:26,960 --> 00:32:31,560 Speaker 1: gonna give me a lot of UM intel that I 624 00:32:31,600 --> 00:32:33,680 Speaker 1: can use here in the next couple of weeks whenever 625 00:32:33,760 --> 00:32:37,120 Speaker 1: the buck activity does actually start to pick up. And 626 00:32:37,320 --> 00:32:39,400 Speaker 1: so that's what I'm looking for, man, I'm looking for 627 00:32:40,320 --> 00:32:42,560 Speaker 1: tracks on the beach close to where I put my 628 00:32:42,640 --> 00:32:45,480 Speaker 1: kayak at to make sure that there's deer that are 629 00:32:45,520 --> 00:32:47,760 Speaker 1: in the area. I've found that if you're using water 630 00:32:47,880 --> 00:32:51,440 Speaker 1: access UM, you can get a good idea of the 631 00:32:52,000 --> 00:32:54,080 Speaker 1: density of deer in an area by the tracks that 632 00:32:54,160 --> 00:32:56,600 Speaker 1: are in that mud next to the beach. That doesn't 633 00:32:56,600 --> 00:32:58,840 Speaker 1: mean there's gonna be daylight movement there. It's usually not. 634 00:32:59,040 --> 00:33:01,280 Speaker 1: It's usually nighttime movement that's right there in the open 635 00:33:01,360 --> 00:33:04,520 Speaker 1: areas along the water. But it gives you an idea 636 00:33:04,560 --> 00:33:06,720 Speaker 1: that there's a good amount of deer in there. And 637 00:33:06,840 --> 00:33:08,400 Speaker 1: so then what I do is I kind of push in. 638 00:33:08,480 --> 00:33:10,160 Speaker 1: If I find what I'm looking for on that beach, 639 00:33:10,240 --> 00:33:12,640 Speaker 1: I push in and try to find those hot feed 640 00:33:12,760 --> 00:33:17,120 Speaker 1: trees that are producing right now. Going forward, Then in 641 00:33:17,200 --> 00:33:18,640 Speaker 1: this next week or so, what do you think that 642 00:33:18,680 --> 00:33:20,680 Speaker 1: bucket TV is going to be on a scale of 643 00:33:20,760 --> 00:33:25,920 Speaker 1: one to ten in Alabama? Well, you know, we have 644 00:33:26,600 --> 00:33:31,040 Speaker 1: a lot of hunters here right now, and it's putting 645 00:33:31,240 --> 00:33:33,120 Speaker 1: a good amount of pressure. It really is putting a 646 00:33:33,120 --> 00:33:36,800 Speaker 1: good amount of pressure on the deer um spencer we've got. 647 00:33:36,880 --> 00:33:41,400 Speaker 1: I just looked up the harvest records for the state 648 00:33:41,440 --> 00:33:44,440 Speaker 1: of Alabama right now, which, like I said, it's only 649 00:33:44,520 --> 00:33:47,440 Speaker 1: three counties, but there's only been a hundred and forty 650 00:33:47,520 --> 00:33:53,000 Speaker 1: four deer reported um. Forty one of those have been bucks, 651 00:33:53,120 --> 00:33:56,560 Speaker 1: A hundred and three of those have been does. But here, 652 00:33:56,640 --> 00:34:00,720 Speaker 1: out of that number, fifty fifty of those deer were 653 00:34:01,280 --> 00:34:06,160 Speaker 1: does on public land and only nine bucks on public land. Um. 654 00:34:06,360 --> 00:34:09,359 Speaker 1: And that's been you know, a week and a half 655 00:34:09,440 --> 00:34:12,600 Speaker 1: worth of of hunting with tons of hunters in the woods, 656 00:34:13,160 --> 00:34:16,480 Speaker 1: and so the buck activity obviously has been very very low. 657 00:34:16,560 --> 00:34:19,120 Speaker 1: And they don't give you any idea of what you know, 658 00:34:19,280 --> 00:34:23,160 Speaker 1: age class those bucks were anything like that. Um. But 659 00:34:23,320 --> 00:34:25,320 Speaker 1: the thing that I know is here, in a couple 660 00:34:25,440 --> 00:34:30,120 Speaker 1: of weeks, UM, a lot of that pressure is going 661 00:34:30,280 --> 00:34:33,360 Speaker 1: to start, at least where I'm at, a lot of 662 00:34:33,400 --> 00:34:36,919 Speaker 1: that pressure is gonna start to die down, and people 663 00:34:36,960 --> 00:34:39,239 Speaker 1: are going to go back to you know, they've really 664 00:34:39,320 --> 00:34:41,560 Speaker 1: been pushing it hard and grinding it hard and putting 665 00:34:41,600 --> 00:34:44,680 Speaker 1: pressure on these areas. People have been using vacation days 666 00:34:44,719 --> 00:34:48,640 Speaker 1: for the openers, and uh, once that pressure starts to 667 00:34:48,719 --> 00:34:51,040 Speaker 1: subside a little bit, I think you're gonna start seeing 668 00:34:51,080 --> 00:34:54,279 Speaker 1: bucks being more comfortable moving around. And we've also got 669 00:34:54,480 --> 00:34:58,520 Speaker 1: next week, we've got a cold front coming through, and 670 00:34:58,640 --> 00:35:00,759 Speaker 1: a southern cold front probably looks a whole lot more 671 00:35:00,840 --> 00:35:04,960 Speaker 1: like a northern uh summer, but we've got like loads 672 00:35:05,040 --> 00:35:10,000 Speaker 1: that are gonna be in the lower uh mid forties 673 00:35:10,120 --> 00:35:13,200 Speaker 1: and highs like in in the seventies, which is UH 674 00:35:14,080 --> 00:35:16,920 Speaker 1: sixties and seventies, which is pretty cool for what we 675 00:35:17,160 --> 00:35:20,000 Speaker 1: typically get. And so I think over this next week, 676 00:35:20,080 --> 00:35:22,200 Speaker 1: when we have that cold front, you're gonna start seeing 677 00:35:22,200 --> 00:35:24,799 Speaker 1: a lot of bucks hitting the ground, a lot more 678 00:35:24,880 --> 00:35:27,799 Speaker 1: bucks hitting the ground. Um. But like I said, Man, 679 00:35:27,960 --> 00:35:29,759 Speaker 1: I mean, it really depends on where you're at in 680 00:35:29,840 --> 00:35:33,080 Speaker 1: the state. Where I'm at. I think over the next 681 00:35:33,160 --> 00:35:37,640 Speaker 1: couple of weeks, it's going to be a lot more. Um, 682 00:35:38,600 --> 00:35:40,880 Speaker 1: You're gonna see bucks getting out of that core area 683 00:35:41,120 --> 00:35:43,160 Speaker 1: just a little bit more. Not a lot more, but 684 00:35:44,120 --> 00:35:46,239 Speaker 1: a little bit more. I think. I think that's gonna 685 00:35:46,280 --> 00:35:49,759 Speaker 1: be whenever it starts to really get good. Um. And 686 00:35:49,800 --> 00:35:52,120 Speaker 1: then we've got a couple of weeks from there until 687 00:35:52,160 --> 00:35:55,960 Speaker 1: we start getting the pre rut. Usually mid November is 688 00:35:56,040 --> 00:35:58,600 Speaker 1: when the pre rut starts where I hunt, and then 689 00:35:58,640 --> 00:36:01,719 Speaker 1: the rut in early December, and so it's just kind 690 00:36:01,760 --> 00:36:06,359 Speaker 1: of a natural gradual progression from from that first cold front. 691 00:36:06,440 --> 00:36:08,840 Speaker 1: But I think it's gonna be really good. All right, Parker, 692 00:36:08,920 --> 00:36:10,520 Speaker 1: thanks for the great intel and good luck with the 693 00:36:10,560 --> 00:36:14,240 Speaker 1: rest of your season. All right, Spencer, appreciating man joining 694 00:36:14,320 --> 00:36:16,520 Speaker 1: us on the line next is Todd Graff from bow 695 00:36:16,600 --> 00:36:19,759 Speaker 1: hunting dot Com in Illinois. Now Todd in Illinois, what 696 00:36:19,840 --> 00:36:21,800 Speaker 1: would you say the bucket activity has been lately on 697 00:36:21,880 --> 00:36:24,200 Speaker 1: a scale of one to ten, you know, for this season, 698 00:36:24,239 --> 00:36:26,200 Speaker 1: I'd have to go with the three for getting started. 699 00:36:26,560 --> 00:36:29,200 Speaker 1: You know, for the most part, Spencer, what I've been 700 00:36:29,200 --> 00:36:32,040 Speaker 1: seeing and what I've been hearing from the immediate group 701 00:36:32,120 --> 00:36:34,400 Speaker 1: of people that I talked to, is this this general 702 00:36:35,440 --> 00:36:38,320 Speaker 1: very high hot temperatures we're having in this drop that 703 00:36:38,400 --> 00:36:41,360 Speaker 1: we're in seems to really have had this dear movement 704 00:36:42,080 --> 00:36:47,719 Speaker 1: definitely uh, less less than desirable for sure. Um, That's 705 00:36:47,800 --> 00:36:49,839 Speaker 1: basically what I've been hearing and what I've been seeing 706 00:36:49,880 --> 00:36:52,640 Speaker 1: so far. The season has been open for a few 707 00:36:52,680 --> 00:36:54,839 Speaker 1: weeks at this point in Illinois. Had there been any 708 00:36:54,920 --> 00:36:57,200 Speaker 1: specific days or weekends that have stuck out to you 709 00:36:57,320 --> 00:37:00,799 Speaker 1: so far? Well, I mean, you know, it's funny because 710 00:37:00,800 --> 00:37:02,800 Speaker 1: the other day I went out and pulled the camera 711 00:37:03,520 --> 00:37:07,760 Speaker 1: and I love running that video mode right And prior 712 00:37:07,840 --> 00:37:09,960 Speaker 1: to pulling the camera, I've had some conversations with some 713 00:37:10,040 --> 00:37:12,880 Speaker 1: different people that I was shocked with the with the 714 00:37:12,960 --> 00:37:14,800 Speaker 1: size of the bucks that they killed. I mean, literally, 715 00:37:14,840 --> 00:37:18,520 Speaker 1: these four individuals that I talked to all had bucks 716 00:37:18,600 --> 00:37:21,439 Speaker 1: that were there that I would have shot for sure. 717 00:37:22,000 --> 00:37:26,520 Speaker 1: And there was something magical about October the sixth. And 718 00:37:26,600 --> 00:37:28,160 Speaker 1: you know, I pulled this camera car I was going 719 00:37:28,200 --> 00:37:30,160 Speaker 1: through it, and here I see these dough just running 720 00:37:30,200 --> 00:37:32,120 Speaker 1: all over the field, and I see this one shooter 721 00:37:32,200 --> 00:37:34,360 Speaker 1: buck that would love to get a chance at and 722 00:37:34,480 --> 00:37:36,920 Speaker 1: he was grunting full tilt. Now, I can't say I 723 00:37:37,000 --> 00:37:39,560 Speaker 1: was paying attention to the weather forecast specifically on that 724 00:37:39,760 --> 00:37:42,919 Speaker 1: day or what it was about that day, but I'll 725 00:37:42,920 --> 00:37:47,600 Speaker 1: tell you what, Uh, clearly some people capitalize I had 726 00:37:47,800 --> 00:37:50,200 Speaker 1: on that day specifically, and I was not one of them. 727 00:37:51,560 --> 00:37:54,160 Speaker 1: When we're encountering a stretch of warm weather like we 728 00:37:54,239 --> 00:37:56,680 Speaker 1: have been in the Midwest, what are you doing differently 729 00:37:56,800 --> 00:38:00,200 Speaker 1: when you're hunting in October in a state like Illinois. Well, 730 00:38:00,719 --> 00:38:03,840 Speaker 1: I love my water holes, and but I'll tell you, 731 00:38:04,200 --> 00:38:08,520 Speaker 1: I think besides water holes, because we finally started getting 732 00:38:08,600 --> 00:38:11,800 Speaker 1: rain here within the first week here in Illinois, so 733 00:38:11,840 --> 00:38:14,080 Speaker 1: it kind of kind of destroyed the water strategy a 734 00:38:14,200 --> 00:38:16,680 Speaker 1: little bit. But you know, sticking with the green fields, 735 00:38:16,719 --> 00:38:18,040 Speaker 1: I mean, some of the hunts that I've been on 736 00:38:18,160 --> 00:38:20,919 Speaker 1: this year, we've been focusing on some of the winter 737 00:38:20,960 --> 00:38:22,800 Speaker 1: wheat and ride that's been coming up and some of 738 00:38:22,880 --> 00:38:26,200 Speaker 1: the turn ups, just some of the green patches. Another 739 00:38:26,280 --> 00:38:28,520 Speaker 1: little you know thing that's been happening here in Illinois. 740 00:38:28,960 --> 00:38:31,520 Speaker 1: The harvest has been so early that some of these 741 00:38:31,560 --> 00:38:34,520 Speaker 1: farmers that have already picked the beans, you're seeing re 742 00:38:34,719 --> 00:38:39,480 Speaker 1: sprouts already coming off the bean pods. And Uh, I'm 743 00:38:39,480 --> 00:38:43,520 Speaker 1: getting a lot of deer activity hitting those little fresh 744 00:38:43,640 --> 00:38:46,719 Speaker 1: green pods that are just coming up right now. So 745 00:38:47,000 --> 00:38:49,520 Speaker 1: I think for that first week you know that the 746 00:38:49,719 --> 00:38:51,839 Speaker 1: key has been sticking with green. I was lucky enough 747 00:38:51,880 --> 00:38:54,560 Speaker 1: the harvest the dough here a few days ago. Uh, 748 00:38:54,920 --> 00:38:57,239 Speaker 1: A couple of my other friend shot does two and 749 00:38:57,560 --> 00:39:01,080 Speaker 1: all those those were harvested over They basically deer heading 750 00:39:01,120 --> 00:39:03,680 Speaker 1: to green plots or in green plots. What are you 751 00:39:03,719 --> 00:39:08,239 Speaker 1: seeing for signmaking right now? Most of the bucks that 752 00:39:08,719 --> 00:39:10,239 Speaker 1: most of the trail cameras that I have set up 753 00:39:10,280 --> 00:39:13,160 Speaker 1: on scrapes, Almost all the bucks have been hitting those 754 00:39:14,280 --> 00:39:19,080 Speaker 1: after hours in the night. I'm just literally seeing the 755 00:39:19,200 --> 00:39:23,200 Speaker 1: scrapes starting to be opened up. Not anything of getting 756 00:39:23,239 --> 00:39:26,880 Speaker 1: completely excited over, that's for sure. You mentioned that you 757 00:39:26,960 --> 00:39:29,920 Speaker 1: have some cams on you mentioned that you have some 758 00:39:30,000 --> 00:39:32,480 Speaker 1: trail cameras on scrapes. Right now, where are you running 759 00:39:32,480 --> 00:39:34,319 Speaker 1: a lot of your other trail cameras As we get 760 00:39:34,360 --> 00:39:37,600 Speaker 1: into mid October, you know, I'm starting to shift some 761 00:39:37,680 --> 00:39:39,440 Speaker 1: of those cameras because that's a big thing I think 762 00:39:39,440 --> 00:39:41,600 Speaker 1: people don't think about, but you know, shifting those cameras 763 00:39:41,680 --> 00:39:44,320 Speaker 1: is super important, right you know, now is when I 764 00:39:44,400 --> 00:39:46,760 Speaker 1: like start moving those cameras to some of the pinch points, 765 00:39:46,800 --> 00:39:49,120 Speaker 1: some of those areas that I know that I'm hoping 766 00:39:49,200 --> 00:39:51,000 Speaker 1: that those bucks are going to start traveling through, So 767 00:39:51,080 --> 00:39:54,879 Speaker 1: some of those travel corridors, pinch points. Um, that's where 768 00:39:54,880 --> 00:39:57,520 Speaker 1: I'm gonna be shipping those cameras too. But definitely we'll 769 00:39:57,560 --> 00:40:00,680 Speaker 1: always be leaving cameras on scrap I mean, it's just 770 00:40:00,840 --> 00:40:03,840 Speaker 1: a great way to get inventory who's who's in the 771 00:40:03,880 --> 00:40:07,000 Speaker 1: neighborhood at that specific time. So I really do the 772 00:40:07,160 --> 00:40:10,920 Speaker 1: usually don't move those off of the scrapes. Historically, when 773 00:40:10,960 --> 00:40:15,839 Speaker 1: do you like to start doing some calling in Illinois? Oh, 774 00:40:16,040 --> 00:40:19,520 Speaker 1: that's a good question. Um, you know a lot of 775 00:40:19,600 --> 00:40:23,680 Speaker 1: times I'll let the deer kind of decide that for me. 776 00:40:24,040 --> 00:40:27,600 Speaker 1: You know, you're watching the deer's behavior generally will dictate 777 00:40:27,719 --> 00:40:30,480 Speaker 1: some of the moves that I make. Um, you know, 778 00:40:30,560 --> 00:40:32,200 Speaker 1: there's no way in heck I'm going to start, you know, 779 00:40:32,360 --> 00:40:36,400 Speaker 1: pulling out snort wess and getting real aggressive here this early. 780 00:40:36,560 --> 00:40:38,680 Speaker 1: So I'm gonna let the deer kind of tell me 781 00:40:38,840 --> 00:40:41,080 Speaker 1: and watch what the deer doing. One You'll start seeing 782 00:40:41,160 --> 00:40:43,359 Speaker 1: some of those one and a half year old bucks 783 00:40:43,360 --> 00:40:45,160 Speaker 1: start doing some little grunts here and there, and then 784 00:40:45,160 --> 00:40:46,799 Speaker 1: as I begin to see that pick up, that's when 785 00:40:46,800 --> 00:40:50,640 Speaker 1: I'll start getting more aggressive with calling going forward. Then 786 00:40:50,680 --> 00:40:52,160 Speaker 1: in this next week or so, what do you think 787 00:40:52,239 --> 00:40:54,000 Speaker 1: that buck activ is going to be on a scale 788 00:40:54,040 --> 00:40:59,680 Speaker 1: of one to ten in Illinois. Well, in this particular case, 789 00:40:59,719 --> 00:41:02,000 Speaker 1: I'm seeing a cold front coming in for this weekend. 790 00:41:02,080 --> 00:41:03,960 Speaker 1: When I say cold front, it's not like something crazy, 791 00:41:04,000 --> 00:41:06,200 Speaker 1: but definitely finally a shift in the weather. So I 792 00:41:06,320 --> 00:41:09,759 Speaker 1: am I am always an optimistic guy, So I'm I'm 793 00:41:09,880 --> 00:41:12,960 Speaker 1: going I'm going with an eight, primarily because of the 794 00:41:13,040 --> 00:41:15,520 Speaker 1: fact that I think these deer have got a lot 795 00:41:15,560 --> 00:41:19,160 Speaker 1: of pent up energy from the start of this current season. Alright, Todd, 796 00:41:19,200 --> 00:41:20,960 Speaker 1: good luck to you and everyone else from bow hunting 797 00:41:21,000 --> 00:41:23,400 Speaker 1: dot Com and bow hunter Die. Thanks for joining me, 798 00:41:23,440 --> 00:41:26,400 Speaker 1: and good luck with the rest of your season, Spencer. 799 00:41:26,480 --> 00:41:30,160 Speaker 1: Thanks so much for Amazon. And that concludes this week's 800 00:41:30,200 --> 00:41:34,200 Speaker 1: episode of rut Fresh Radio. Thanks to Casey, John Parker, 801 00:41:34,280 --> 00:41:36,720 Speaker 1: and Todd for joining me, and thank you guys for listening. 802 00:41:37,160 --> 00:41:40,120 Speaker 1: As a reminder, the reading materials for this week's episode 803 00:41:40,160 --> 00:41:43,120 Speaker 1: can be found in the description of the podcast. You're 804 00:41:43,160 --> 00:41:45,279 Speaker 1: gonna learn things about like how to kill a buck, 805 00:41:45,360 --> 00:41:48,880 Speaker 1: hunting rubs, the best food sources to deer hunt in October, 806 00:41:49,160 --> 00:41:51,560 Speaker 1: how to kill a nocturnal buck, and how to kill 807 00:41:51,600 --> 00:41:54,959 Speaker 1: a buck at midday in October. I hope these small 808 00:41:55,080 --> 00:41:57,600 Speaker 1: cold fronts find you well and we'll talk to you 809 00:41:57,800 --> 00:42:00,399 Speaker 1: next week. Until then, stay Dan.