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 --> 00:00:15,440 Speaker 1: your host Spencer new Hearth. This is Wired to Haunts 4 00:00:15,440 --> 00:00:18,040 Speaker 1: the rout Fresh Radio and I'm your host Spencer new Hearth. 5 00:00:18,280 --> 00:00:36,879 Speaker 1: This week we're talking about precipitation and white tales. Welcome 6 00:00:36,920 --> 00:00:39,559 Speaker 1: to Wired to Hunt's rout Fresh Radio. I'm your host, 7 00:00:39,640 --> 00:00:42,960 Speaker 1: Spencer new Hearth and joined by Mark Kenyon again this week. 8 00:00:42,960 --> 00:00:45,640 Speaker 1: And Mark, I know you were a mentor this last 9 00:00:45,680 --> 00:00:49,600 Speaker 1: weekend on the Back forties field, the four hunt that 10 00:00:49,760 --> 00:00:51,840 Speaker 1: is done by n d A. Mark. Tell us about 11 00:00:51,840 --> 00:00:53,480 Speaker 1: that haunt. Did you have any deer on the ground 12 00:00:53,479 --> 00:00:56,480 Speaker 1: and what was the movement like? Yeah, it was, it 13 00:00:56,560 --> 00:00:58,960 Speaker 1: was a heck of a good time. This as a 14 00:00:59,080 --> 00:01:02,600 Speaker 1: slight remember we after the whole Back forty show and 15 00:01:02,600 --> 00:01:05,800 Speaker 1: that whole project, we donated the farm to the National 16 00:01:05,800 --> 00:01:10,240 Speaker 1: Deer Association so that they could host new hunter events 17 00:01:10,280 --> 00:01:11,720 Speaker 1: like this, so they could bring folks out in the 18 00:01:11,760 --> 00:01:14,720 Speaker 1: summer and teach them about dear behavior and wildlife habitat 19 00:01:14,760 --> 00:01:16,840 Speaker 1: and all that kind of stuff. And then during hunting 20 00:01:16,880 --> 00:01:19,400 Speaker 1: season have a place where these people can go out 21 00:01:19,400 --> 00:01:22,039 Speaker 1: there and see deer and have the opportunity to get 22 00:01:22,040 --> 00:01:24,640 Speaker 1: shot opportunities and learn how to gut a deer and 23 00:01:24,640 --> 00:01:26,200 Speaker 1: track a deer and all that kind of stuff. So 24 00:01:26,680 --> 00:01:28,800 Speaker 1: this is the first hunt that we've got to host 25 00:01:28,840 --> 00:01:31,280 Speaker 1: on the farm as a part of that program. And 26 00:01:31,319 --> 00:01:33,479 Speaker 1: like you said, I got to mentor and it was 27 00:01:33,560 --> 00:01:37,440 Speaker 1: it was really really cool. We had ten new hunters 28 00:01:38,000 --> 00:01:41,360 Speaker 1: and those hunters were each paired with the mentor, and 29 00:01:41,400 --> 00:01:44,840 Speaker 1: then we split them up over a couple of different properties. 30 00:01:44,840 --> 00:01:46,600 Speaker 1: So some of the hunters were in the back forty, 31 00:01:46,959 --> 00:01:49,520 Speaker 1: some of the hunters were on some other private properties 32 00:01:49,560 --> 00:01:52,320 Speaker 1: that we had access to um from different volunteers and 33 00:01:52,320 --> 00:01:57,000 Speaker 1: stuff like that. So we had three hunters, uh this 34 00:01:57,040 --> 00:01:59,880 Speaker 1: weekend on the back for itself. I was with one 35 00:01:59,880 --> 00:02:02,880 Speaker 1: of them, and we had a lot of great action. 36 00:02:03,240 --> 00:02:08,880 Speaker 1: Um let me see here three deer. We got shots 37 00:02:08,880 --> 00:02:11,640 Speaker 1: at three deer and one of those was a miss. 38 00:02:11,880 --> 00:02:13,800 Speaker 1: But one of the hunter, of the hunter I was mentoring, 39 00:02:13,840 --> 00:02:16,799 Speaker 1: actually killed two killed one the first night and killed 40 00:02:16,880 --> 00:02:18,800 Speaker 1: one the second morning. So he got his first and 41 00:02:18,960 --> 00:02:23,040 Speaker 1: second deer in the same weekend. Uh, and he was 42 00:02:23,120 --> 00:02:26,520 Speaker 1: just absolutely ecstatic. We had a really awesome opportunity and 43 00:02:26,639 --> 00:02:29,120 Speaker 1: got to you know, teach him how to gut a deer, 44 00:02:29,120 --> 00:02:31,320 Speaker 1: how to track a deer, and then the second deer 45 00:02:31,360 --> 00:02:33,799 Speaker 1: he got the next morning, we brought back and had 46 00:02:33,840 --> 00:02:36,600 Speaker 1: the other two hunters that were out there, um, showed 47 00:02:36,639 --> 00:02:39,240 Speaker 1: them how to gut it and let them actually you know, 48 00:02:39,320 --> 00:02:41,880 Speaker 1: try it themselves too. So on the back forty we 49 00:02:41,919 --> 00:02:44,919 Speaker 1: had a couple of different gutting demonstrations and a lot 50 00:02:44,960 --> 00:02:48,200 Speaker 1: of great just back and forth teaching moments and across 51 00:02:48,360 --> 00:02:50,760 Speaker 1: all the other farms. So I can't remember how many 52 00:02:50,800 --> 00:02:53,880 Speaker 1: other properties, two or three other properties, there was a 53 00:02:53,919 --> 00:02:57,359 Speaker 1: total of eight deer killed. So so seven new hunters 54 00:02:57,919 --> 00:03:00,320 Speaker 1: killed their first deer and one of those hunters kill too. 55 00:03:00,919 --> 00:03:04,720 Speaker 1: So um, it was awesome event and just a really 56 00:03:04,720 --> 00:03:08,240 Speaker 1: cool opportunity to see that whole back forty project come 57 00:03:08,320 --> 00:03:11,880 Speaker 1: full circle. So I was. I was a very happy 58 00:03:12,240 --> 00:03:15,120 Speaker 1: mentor this past weekend getting to see see such a 59 00:03:15,160 --> 00:03:18,280 Speaker 1: cool thing happening. So that's the high level story. We're 60 00:03:18,280 --> 00:03:21,720 Speaker 1: gonna eventually gonna do a full podcast about it with 61 00:03:21,720 --> 00:03:24,160 Speaker 1: with a couple of those new hunters and we'll share 62 00:03:24,200 --> 00:03:27,040 Speaker 1: all the nitty gritty details, but at a high level, 63 00:03:27,080 --> 00:03:30,600 Speaker 1: it was great. The dude that went back to back kills, 64 00:03:30,639 --> 00:03:32,720 Speaker 1: he's gonna be a mentor. Before long, he's gonna take 65 00:03:32,720 --> 00:03:35,360 Speaker 1: your job there. I know, we were actually joking with 66 00:03:35,440 --> 00:03:37,840 Speaker 1: him that after he after he had so so much 67 00:03:37,840 --> 00:03:40,240 Speaker 1: success this time around next year, he's gonna pay it forward. 68 00:03:40,360 --> 00:03:43,400 Speaker 1: So we're gonna we're gonna rope him into it someday. 69 00:03:43,520 --> 00:03:46,360 Speaker 1: So what about for the buck movement though that you saw? 70 00:03:46,800 --> 00:03:50,120 Speaker 1: Was there anything of note that happened during those hunts? Yeah, 71 00:03:50,160 --> 00:03:54,400 Speaker 1: you know a lot of hunters saw bucks, and that 72 00:03:54,440 --> 00:03:56,120 Speaker 1: was not a good thing in this case because this 73 00:03:56,200 --> 00:03:59,560 Speaker 1: was actually an early antlerless only season, so we were 74 00:03:59,560 --> 00:04:04,520 Speaker 1: all out or you could only shoot does um so on. 75 00:04:04,520 --> 00:04:07,160 Speaker 1: On the back forty there were a couple hunts where 76 00:04:07,160 --> 00:04:09,640 Speaker 1: there were bucks in range that you couldn't shoot, including 77 00:04:10,160 --> 00:04:12,360 Speaker 1: a nice one like a really good buck came out 78 00:04:12,400 --> 00:04:14,000 Speaker 1: for one of the new hunters out of the honey 79 00:04:14,000 --> 00:04:15,840 Speaker 1: Hoole or heading into the honey Hoole. I think it was. 80 00:04:15,920 --> 00:04:18,240 Speaker 1: I wasn't sitting there at that one, and uh, they 81 00:04:18,240 --> 00:04:21,279 Speaker 1: couldn't take them. So there was some deer movement. It 82 00:04:21,360 --> 00:04:23,320 Speaker 1: was late. A lot of the deer movement was you know, 83 00:04:23,440 --> 00:04:26,360 Speaker 1: last hour daylight because it's been pretty warm here in Michigan. 84 00:04:27,040 --> 00:04:30,200 Speaker 1: Um but you know I would call you know, I 85 00:04:30,200 --> 00:04:31,800 Speaker 1: know you didn't ask me yet, but if I had 86 00:04:31,839 --> 00:04:33,880 Speaker 1: to write deer activity on a scale one to ten, 87 00:04:34,480 --> 00:04:37,599 Speaker 1: recently here in Michigan, it's been like a you know, 88 00:04:37,640 --> 00:04:40,400 Speaker 1: like a four and a half to five. There's that 89 00:04:40,520 --> 00:04:43,400 Speaker 1: good evening movement and a good little bit of movement 90 00:04:43,440 --> 00:04:46,200 Speaker 1: there first thing in the morning, but pretty warm temperature 91 00:04:46,240 --> 00:04:49,159 Speaker 1: is nothing out of the ordinary. UM. I did see 92 00:04:49,200 --> 00:04:53,280 Speaker 1: one mature buck out scouting last week. I don't know, 93 00:04:53,279 --> 00:04:55,520 Speaker 1: I would have been Thursday or Friday night. I saw 94 00:04:55,880 --> 00:04:57,799 Speaker 1: a good buck, actually, one of the bucks I'm after 95 00:04:58,680 --> 00:05:01,960 Speaker 1: outfeeding in a food plot just probably the last twenty 96 00:05:01,960 --> 00:05:07,360 Speaker 1: minutes of daily so they're they're around Now's something that 97 00:05:07,560 --> 00:05:09,920 Speaker 1: wouldn't have been a factor during your haunts there on 98 00:05:09,960 --> 00:05:12,039 Speaker 1: the back forty this last weekend, but will be a 99 00:05:12,080 --> 00:05:16,120 Speaker 1: factor for basically the white tails entire range for probably 100 00:05:16,160 --> 00:05:18,880 Speaker 1: like these next five days. Is that a lot of 101 00:05:18,920 --> 00:05:21,680 Speaker 1: the country is going to be getting rain at some 102 00:05:21,760 --> 00:05:24,840 Speaker 1: point between like now, UM and the next time we 103 00:05:24,880 --> 00:05:28,680 Speaker 1: record an episode of Rod Fresh Radio. In the past, Mark, 104 00:05:28,760 --> 00:05:31,800 Speaker 1: I think in nineteen you wrote an article for the 105 00:05:31,839 --> 00:05:35,240 Speaker 1: website about should you deer hunt in the rain? UM? 106 00:05:35,360 --> 00:05:38,159 Speaker 1: And you talked about all the considerations that go into 107 00:05:38,200 --> 00:05:40,680 Speaker 1: one of those haunts. Go over that with us right 108 00:05:40,720 --> 00:05:43,280 Speaker 1: now about what hunters should be thinking about when it's 109 00:05:43,400 --> 00:05:46,159 Speaker 1: raining and they want to get in the woods. Um, 110 00:05:46,160 --> 00:05:50,080 Speaker 1: based on deer movement and then other considerations. Yeah, So 111 00:05:50,880 --> 00:05:52,960 Speaker 1: I was just looking at our forecast in Michigan and 112 00:05:53,080 --> 00:05:54,960 Speaker 1: in our season is not open right now since that 113 00:05:55,040 --> 00:05:57,240 Speaker 1: at this one's done, but we've got rain in the 114 00:05:57,279 --> 00:05:59,360 Speaker 1: forecast for the next five days straight. So I'm sure 115 00:05:59,400 --> 00:06:01,200 Speaker 1: some of those others dates around me that are open, 116 00:06:01,480 --> 00:06:03,800 Speaker 1: I're going to see some of that. And I tend 117 00:06:03,839 --> 00:06:06,919 Speaker 1: to look at rain is generally a good thing for 118 00:06:07,040 --> 00:06:12,279 Speaker 1: deer movement. Lots of times changes in precipitation also lead 119 00:06:12,320 --> 00:06:15,520 Speaker 1: to changes in temperature, lead to changes in barre, metric pressure, 120 00:06:15,560 --> 00:06:18,000 Speaker 1: all that kind of stuff, and in general it seems 121 00:06:18,040 --> 00:06:20,120 Speaker 1: like those changes just give you a little boost in 122 00:06:20,160 --> 00:06:23,120 Speaker 1: movement one way or another. Um. So, yeah, when it 123 00:06:23,120 --> 00:06:26,800 Speaker 1: comes to rain, I'm not anti rain. I'm not bummed 124 00:06:26,800 --> 00:06:29,359 Speaker 1: out when I see rain the forecast, UM. But I 125 00:06:29,360 --> 00:06:33,040 Speaker 1: am thinking about a couple of things differently. One thing 126 00:06:33,480 --> 00:06:37,000 Speaker 1: is that if you have like a light drizzle or 127 00:06:37,440 --> 00:06:39,680 Speaker 1: intermittent rain where it comes down hard for a while, 128 00:06:39,720 --> 00:06:41,560 Speaker 1: but then opens up and clears up for an hour 129 00:06:41,640 --> 00:06:44,599 Speaker 1: or two. Those are situations I really like. I've seen 130 00:06:44,640 --> 00:06:47,799 Speaker 1: a lot of good movement during those types of periods. UM. 131 00:06:47,880 --> 00:06:51,080 Speaker 1: I know. John Eberhardt is a guy that is writing 132 00:06:51,120 --> 00:06:53,160 Speaker 1: some stuff for us for Wired Hunting Now, and he's 133 00:06:53,200 --> 00:06:57,200 Speaker 1: someone who has preached the importance of hunting during the 134 00:06:57,279 --> 00:06:59,680 Speaker 1: rain because there's those time periods like I just discussed 135 00:06:59,680 --> 00:07:01,440 Speaker 1: where they can really get on their feet and move 136 00:07:01,480 --> 00:07:04,040 Speaker 1: a lot and a lot of hunters we'll just avoid 137 00:07:04,040 --> 00:07:06,600 Speaker 1: the rain entirely and not be out there for those moments, 138 00:07:06,600 --> 00:07:09,920 Speaker 1: those breaks or those slow drizzly periods when you know 139 00:07:09,960 --> 00:07:11,800 Speaker 1: deer want to stretch the legs, get up and start 140 00:07:11,840 --> 00:07:14,200 Speaker 1: feeding again, especially if it's been a longer rain event, 141 00:07:14,240 --> 00:07:18,040 Speaker 1: like if it's been a a thunderstorm downpour like crazy 142 00:07:18,120 --> 00:07:20,600 Speaker 1: for hours and hours and hours on end, or like 143 00:07:20,640 --> 00:07:22,800 Speaker 1: all night or whatever, it might be as soon as 144 00:07:22,800 --> 00:07:26,240 Speaker 1: that slows down or stops and they get that first break, man, 145 00:07:26,240 --> 00:07:29,960 Speaker 1: those deer really gonna get after it. So I like that. UM. 146 00:07:30,040 --> 00:07:32,280 Speaker 1: On the flip side, as I just alluded to, when 147 00:07:32,320 --> 00:07:36,000 Speaker 1: you have like a storm storm that will usually put 148 00:07:36,040 --> 00:07:39,960 Speaker 1: most deer down. UM, so you know, I'm gonna try 149 00:07:39,960 --> 00:07:43,600 Speaker 1: to be out there hunting in most rainy situations, either 150 00:07:43,680 --> 00:07:45,760 Speaker 1: because it's slow enough that they could be moving right now, 151 00:07:46,160 --> 00:07:47,920 Speaker 1: or because I want to make sure I don't miss, 152 00:07:48,480 --> 00:07:50,200 Speaker 1: you know, that moment when it does stop and all 153 00:07:50,240 --> 00:07:51,920 Speaker 1: the deer start moving. I don't want to be walking 154 00:07:51,960 --> 00:07:54,360 Speaker 1: out right when it stops and spook those deer. I'd 155 00:07:54,440 --> 00:07:58,640 Speaker 1: rather be sitting and ready. Um. The one other thing though, 156 00:07:58,640 --> 00:08:01,880 Speaker 1: that you need to think about is how rain can impact, 157 00:08:02,520 --> 00:08:04,520 Speaker 1: you know, recovering a deer. If you shoot a deer 158 00:08:04,600 --> 00:08:07,480 Speaker 1: during the rain, can you blood trailer? Can you recover 159 00:08:07,560 --> 00:08:11,800 Speaker 1: that deer? And that's you know, that's a real consideration. Um. 160 00:08:12,000 --> 00:08:15,600 Speaker 1: Blood trails can get washed away with rain, and you 161 00:08:15,680 --> 00:08:19,040 Speaker 1: need to be really really sure that you're gonna be 162 00:08:19,040 --> 00:08:21,200 Speaker 1: in a situation where that doesn't happen you and you 163 00:08:21,240 --> 00:08:23,720 Speaker 1: can't recover a deer. So so my take on that 164 00:08:23,880 --> 00:08:28,080 Speaker 1: is twofold number one. If I'm hunting in a situation 165 00:08:28,120 --> 00:08:32,040 Speaker 1: where there's some light rain, um, you know, but I 166 00:08:32,080 --> 00:08:34,480 Speaker 1: think I'll still be able to keep on a blood trail. 167 00:08:34,840 --> 00:08:38,719 Speaker 1: My big thing is really really limiting my shots. So 168 00:08:38,800 --> 00:08:41,959 Speaker 1: I'm I don't know, I shoot I would shoot out 169 00:08:41,960 --> 00:08:44,600 Speaker 1: to four yards for a white tail. That's myself, my 170 00:08:44,760 --> 00:08:46,679 Speaker 1: lion in the sand. That's my max range that I'm 171 00:08:46,679 --> 00:08:49,200 Speaker 1: gonna shoot a deer at on a good day. If 172 00:08:49,240 --> 00:08:51,559 Speaker 1: it's a rainy day like your light, drizzly day, and 173 00:08:51,600 --> 00:08:53,480 Speaker 1: them out there and I know there's this possibility that 174 00:08:53,480 --> 00:08:55,760 Speaker 1: there's gonna be some rain coming in, I'll shrink that 175 00:08:55,920 --> 00:08:58,199 Speaker 1: range dramatically. So I might shrink that range down to 176 00:08:58,280 --> 00:09:01,440 Speaker 1: twenty yards. So I'm only going to take that shot, um, 177 00:09:01,480 --> 00:09:03,840 Speaker 1: if it's the easiest of easy shots, because I don't 178 00:09:03,880 --> 00:09:06,680 Speaker 1: want to have even the slightest chance of a long, 179 00:09:07,320 --> 00:09:10,760 Speaker 1: tough blood trail. So I'm only gonna take those absolute 180 00:09:10,800 --> 00:09:13,240 Speaker 1: gimmes on a rainy day so that I don't risk 181 00:09:13,280 --> 00:09:15,840 Speaker 1: shooting a deer that I can't track. I want a 182 00:09:15,880 --> 00:09:18,760 Speaker 1: deer that I know I'm gonna double long, no questions asked, 183 00:09:18,800 --> 00:09:20,800 Speaker 1: and that deer is gonna be dead in fifty yards 184 00:09:20,920 --> 00:09:23,760 Speaker 1: or eight yards or something, and hopefully I'll see see 185 00:09:23,800 --> 00:09:26,880 Speaker 1: him keel over something. Um. The second thing, though, is 186 00:09:26,880 --> 00:09:29,880 Speaker 1: that even if you think that's the case, occasionally do 187 00:09:29,960 --> 00:09:32,719 Speaker 1: you go further than you expect? Um, things don't go 188 00:09:32,840 --> 00:09:35,680 Speaker 1: quite as planned. So what I have made sure to 189 00:09:35,800 --> 00:09:40,160 Speaker 1: do is if tracking dogs are legal in your state, 190 00:09:40,559 --> 00:09:42,680 Speaker 1: just make sure you know someone or know how to 191 00:09:42,720 --> 00:09:45,400 Speaker 1: find the phone number for someone, or have that in 192 00:09:45,440 --> 00:09:49,000 Speaker 1: your back pocket so that worst case scenario, god forbid, 193 00:09:49,320 --> 00:09:51,480 Speaker 1: the shot doesn't go you want to and and then 194 00:09:51,520 --> 00:09:54,240 Speaker 1: again somehow you can't track it with the blood, you've 195 00:09:54,240 --> 00:09:56,200 Speaker 1: got a dog who can help you out. And those 196 00:09:56,240 --> 00:09:59,679 Speaker 1: dogs can track really well in those rain situations. They 197 00:09:59,679 --> 00:10:02,440 Speaker 1: can dell smell just fine, even if the blood trail 198 00:10:02,520 --> 00:10:04,920 Speaker 1: is washed away. You know, from what I understand, these 199 00:10:04,960 --> 00:10:07,240 Speaker 1: dogs are really tracking the smell of a of a 200 00:10:07,280 --> 00:10:11,240 Speaker 1: specific footprint. Um So in many cases, the rain the 201 00:10:11,240 --> 00:10:15,160 Speaker 1: moisture actually helps their noses. So that's not possible in 202 00:10:15,200 --> 00:10:17,480 Speaker 1: all states, but where it is, it's a huge tool. 203 00:10:17,760 --> 00:10:21,520 Speaker 1: Um If that's not legal in your state and it's 204 00:10:21,520 --> 00:10:24,760 Speaker 1: an absolute downpour and you're worried about you know, you 205 00:10:24,760 --> 00:10:26,240 Speaker 1: won't be able to see blood and you don't have 206 00:10:26,240 --> 00:10:29,840 Speaker 1: that backup plan, then those cases, you know, probably don't hunt, 207 00:10:30,240 --> 00:10:32,719 Speaker 1: because if you can't recover the deer, you shouldn't be 208 00:10:32,720 --> 00:10:35,520 Speaker 1: out there shooting at them. Um So you've got to 209 00:10:35,559 --> 00:10:38,079 Speaker 1: consider a bunch of those different circumstances. I've in most 210 00:10:38,080 --> 00:10:40,679 Speaker 1: cases been able to make sure that I feel comfortable 211 00:10:40,720 --> 00:10:42,720 Speaker 1: being out there and have backups and plans to make 212 00:10:42,720 --> 00:10:45,040 Speaker 1: sure that doesn't happen, and it hasn't been a problem yet. 213 00:10:45,240 --> 00:10:48,600 Speaker 1: But um, it's a very long winded way of saying, yes, 214 00:10:48,640 --> 00:10:51,960 Speaker 1: you should probably hunt, but be careful. It's right And 215 00:10:52,000 --> 00:10:54,080 Speaker 1: as as you were talking about, I was checking forecast 216 00:10:54,160 --> 00:10:56,720 Speaker 1: for around the country and that is going to be 217 00:10:56,800 --> 00:11:01,120 Speaker 1: something relevant for basically any white tailor. Um, like you said, 218 00:11:01,120 --> 00:11:03,280 Speaker 1: in these next five days, it's not just Michigan. Much 219 00:11:03,400 --> 00:11:05,600 Speaker 1: of the white tails range is going to have some 220 00:11:05,640 --> 00:11:08,560 Speaker 1: storms coming up here. The other hunters that we hear 221 00:11:08,559 --> 00:11:11,960 Speaker 1: from this week are Alex Comstock in Minnesota, Great Drummond 222 00:11:12,080 --> 00:11:15,360 Speaker 1: in Florida, Keith Thompson in Montana, and then Tony Peterson 223 00:11:15,559 --> 00:11:18,840 Speaker 1: in Wisconsin. And then, as we have been doing mark 224 00:11:18,920 --> 00:11:21,160 Speaker 1: with our other intros, we're gonna close it out with 225 00:11:21,240 --> 00:11:24,920 Speaker 1: some reading materials if you want even more about white 226 00:11:24,920 --> 00:11:27,840 Speaker 1: tail movement. Right now at the end of September, we 227 00:11:27,880 --> 00:11:30,160 Speaker 1: have four articles that suggests you check out. One of 228 00:11:30,200 --> 00:11:32,320 Speaker 1: them is from Beau Martonic. It is the best food 229 00:11:32,320 --> 00:11:36,080 Speaker 1: Sources for Big Woods white tails. Basically bow breaks down 230 00:11:36,080 --> 00:11:39,040 Speaker 1: three food items that can be found uh anywhere in 231 00:11:39,080 --> 00:11:41,480 Speaker 1: the country where they are white tails living in timber. 232 00:11:41,720 --> 00:11:43,760 Speaker 1: And then how to Kill a Buck in High Wind 233 00:11:43,800 --> 00:11:47,640 Speaker 1: by Tony Peterson. Tony talks about what GPS college studies 234 00:11:47,679 --> 00:11:50,400 Speaker 1: tell us about buck movement high wind and where specifically 235 00:11:50,559 --> 00:11:53,520 Speaker 1: that movement is taking place. And then why September is 236 00:11:53,520 --> 00:11:55,960 Speaker 1: the best month to hunt scrapes from Tony Hansen. Most 237 00:11:56,040 --> 00:11:59,200 Speaker 1: hunters don't turn their attention to scrapes until October, but 238 00:11:59,280 --> 00:12:01,240 Speaker 1: Tony talks about why he thinks these next couple of 239 00:12:01,280 --> 00:12:03,840 Speaker 1: weeks could be the best time to haunt them. And 240 00:12:03,840 --> 00:12:06,640 Speaker 1: then finally, should you deer haunt in Rain the article 241 00:12:06,679 --> 00:12:10,760 Speaker 1: that you wrote in which goes into greater detail about 242 00:12:10,760 --> 00:12:13,559 Speaker 1: all of those talking points that you just had. Yeah, 243 00:12:13,800 --> 00:12:16,960 Speaker 1: I really like that September scrape one by Tony Hansen. 244 00:12:17,000 --> 00:12:19,760 Speaker 1: I thought that was He's got a really interesting angle 245 00:12:19,840 --> 00:12:22,079 Speaker 1: there that I don't know if I ever really thought about. 246 00:12:22,280 --> 00:12:24,719 Speaker 1: That's I think everyone should go read that one. If 247 00:12:24,720 --> 00:12:27,000 Speaker 1: you've got some September haunts coming up, I think you 248 00:12:27,000 --> 00:12:29,360 Speaker 1: should think about Tony's idea there, So check that one 249 00:12:29,360 --> 00:12:32,400 Speaker 1: out for sure. Yeah, And when I got done, I 250 00:12:32,480 --> 00:12:34,240 Speaker 1: was like, you know, what he is right. Um, Like, 251 00:12:34,400 --> 00:12:37,000 Speaker 1: I don't know that September is the best month, but 252 00:12:37,040 --> 00:12:39,120 Speaker 1: it does make a lot of sense to focus on 253 00:12:39,160 --> 00:12:42,360 Speaker 1: scrapes right now. Or if if you're just putting a 254 00:12:42,400 --> 00:12:45,160 Speaker 1: setup up to haunt this weekend, like throw down a 255 00:12:45,240 --> 00:12:47,640 Speaker 1: mock scrape and then monitor that mock scrape for the 256 00:12:47,679 --> 00:12:49,920 Speaker 1: next couple of weeks, and it might even like be 257 00:12:50,120 --> 00:12:52,599 Speaker 1: something that is a difference maker in in one of 258 00:12:52,640 --> 00:12:55,440 Speaker 1: those haunts or the haunt from that night. Um, scrapes 259 00:12:55,640 --> 00:12:57,800 Speaker 1: are are a great thing to focus on right now. Yeah, 260 00:12:57,840 --> 00:13:02,520 Speaker 1: it was unique perspective and interesting for sure. Alright, Mark, 261 00:13:02,640 --> 00:13:04,520 Speaker 1: I'm going to talk to you next week. Let's get 262 00:13:04,520 --> 00:13:09,520 Speaker 1: to these interviews. Sounds good, alright, And joining us on 263 00:13:09,559 --> 00:13:13,960 Speaker 1: the line first is Alex Comstock from Whitetail DNA in Minnesota. Now, 264 00:13:14,000 --> 00:13:16,480 Speaker 1: Alex in Minnesota, what would you say the Buck activity 265 00:13:16,520 --> 00:13:20,600 Speaker 1: has been lately on a scale of one to ten, Yeah, 266 00:13:20,640 --> 00:13:23,320 Speaker 1: I'd say it's probably been about a seven. Um only 267 00:13:23,360 --> 00:13:27,360 Speaker 1: hunted really opening day here, But me and my buddy 268 00:13:27,400 --> 00:13:29,280 Speaker 1: were sitting together and we're able to put down our 269 00:13:29,320 --> 00:13:31,960 Speaker 1: top target Bucks opening night. So it's just based off that. 270 00:13:31,960 --> 00:13:34,000 Speaker 1: I'm gonna go ahead and give it a seven. Tell 271 00:13:34,040 --> 00:13:35,680 Speaker 1: me about that hunt, why you guys were in that 272 00:13:35,720 --> 00:13:38,240 Speaker 1: area and why that buck was in that area. Yeah, 273 00:13:38,280 --> 00:13:41,440 Speaker 1: it's a it's a really good funneling spot with you know, 274 00:13:41,440 --> 00:13:45,200 Speaker 1: there's some apple trees around and whatnot that are you 275 00:13:45,240 --> 00:13:47,440 Speaker 1: know pretty much where he gets to at night. And 276 00:13:47,640 --> 00:13:49,800 Speaker 1: we pretty much knew where he was betted at least 277 00:13:49,800 --> 00:13:52,320 Speaker 1: had a good hunch based on a lot of traill 278 00:13:52,400 --> 00:13:55,360 Speaker 1: camera intel from last fall on this summer, and uh, 279 00:13:55,640 --> 00:13:58,880 Speaker 1: he had been semi regular, had been daylight on cell 280 00:13:58,960 --> 00:14:02,120 Speaker 1: camp multiple time this past week, and uh, we thought 281 00:14:02,600 --> 00:14:05,040 Speaker 1: we had a really good chance to hunt them openy 282 00:14:05,120 --> 00:14:07,240 Speaker 1: night and actually hadn't even hungerstand yet. So we went 283 00:14:07,280 --> 00:14:10,800 Speaker 1: in hunger stand and about two hours later he walked 284 00:14:10,840 --> 00:14:13,319 Speaker 1: by at fifteen yards and we're able to kill them. 285 00:14:13,440 --> 00:14:15,320 Speaker 1: Where are you running a lot of your trail cameras 286 00:14:15,360 --> 00:14:18,439 Speaker 1: this time of year. I've got either my cameras in 287 00:14:18,480 --> 00:14:22,320 Speaker 1: Minnesota just on either mock scrapes, you know, intersection new trails, 288 00:14:22,440 --> 00:14:25,000 Speaker 1: or you know, I'm trying to focus on food sources 289 00:14:25,160 --> 00:14:27,640 Speaker 1: like you know, oaks and make corns are starting to drop, 290 00:14:27,640 --> 00:14:30,280 Speaker 1: apple trees if I've got on stuff like that, And 291 00:14:30,320 --> 00:14:32,160 Speaker 1: have you seen a lot of bucks hitting your mock 292 00:14:32,240 --> 00:14:34,760 Speaker 1: scrape or real scrapes that you find in the woods. 293 00:14:34,840 --> 00:14:37,120 Speaker 1: Right now there, it seems like they're starting to a 294 00:14:37,200 --> 00:14:39,800 Speaker 1: little more at least, you know, not necessarily scrape in 295 00:14:39,840 --> 00:14:42,400 Speaker 1: the ground much. But the nice thing is for me, 296 00:14:42,480 --> 00:14:44,400 Speaker 1: a lot of the areas that I hunt, I've hunted, 297 00:14:44,640 --> 00:14:46,040 Speaker 1: you know, year after year, and I kind of know 298 00:14:46,160 --> 00:14:49,000 Speaker 1: these established areas, so I can I know where the 299 00:14:49,000 --> 00:14:51,960 Speaker 1: licking branches are, and you know they're they're definitely hitting 300 00:14:52,000 --> 00:14:54,440 Speaker 1: licking branches. And I've got you know, this buck in 301 00:14:54,480 --> 00:14:56,440 Speaker 1: particular that we were able to put down is has 302 00:14:56,520 --> 00:14:59,280 Speaker 1: hit this scrape, you know, just with the licking branches, 303 00:14:59,280 --> 00:15:02,360 Speaker 1: you know, multiple time times even since August. So and 304 00:15:02,400 --> 00:15:04,640 Speaker 1: you said that you found this bucks bed. Tell me 305 00:15:04,680 --> 00:15:06,680 Speaker 1: about when you found that bucks bed and how you 306 00:15:06,760 --> 00:15:09,720 Speaker 1: knew that he was using it. So we we've pretty 307 00:15:09,760 --> 00:15:12,680 Speaker 1: much had his bedding area pinned down for last ball. 308 00:15:12,800 --> 00:15:15,160 Speaker 1: We had ran ran a couple of cameras in the area, 309 00:15:15,880 --> 00:15:17,480 Speaker 1: um but it was one of those deals where we 310 00:15:17,480 --> 00:15:19,600 Speaker 1: weren't didn't have cell cams in the area last year, 311 00:15:19,640 --> 00:15:22,640 Speaker 1: and so we checked them late in October and he 312 00:15:22,720 --> 00:15:26,720 Speaker 1: had been all over it in daylight in September October. 313 00:15:26,760 --> 00:15:28,920 Speaker 1: I mean all times of the day and that time 314 00:15:28,960 --> 00:15:31,320 Speaker 1: of year. If I'm getting a buck, you know, in 315 00:15:31,440 --> 00:15:33,840 Speaker 1: daylight that much during the during the day, I know 316 00:15:33,960 --> 00:15:36,080 Speaker 1: he's bed and very close. And so that kind of 317 00:15:36,160 --> 00:15:38,400 Speaker 1: led us to hunt where we did this year and 318 00:15:38,440 --> 00:15:40,640 Speaker 1: how deep in the timber were you for this setup? 319 00:15:41,000 --> 00:15:43,840 Speaker 1: We were not very far off. I mean we're pretty 320 00:15:43,920 --> 00:15:47,040 Speaker 1: much in town and so we were I don't know, 321 00:15:47,360 --> 00:15:51,440 Speaker 1: i'd say hundred yards off the road? Was this book 322 00:15:51,520 --> 00:15:53,440 Speaker 1: or other bucks he've been seeing still hanging out in 323 00:15:53,480 --> 00:15:56,120 Speaker 1: bachelor groups served they've broken up at this point, he 324 00:15:56,560 --> 00:15:58,680 Speaker 1: you know, we I've got quite a few bachelor groups 325 00:15:58,680 --> 00:16:01,640 Speaker 1: still hanging out together at he signed camera. Um. But 326 00:16:01,960 --> 00:16:04,600 Speaker 1: this buck had been solo, and it's funny because he 327 00:16:04,600 --> 00:16:07,600 Speaker 1: had been solo all summer, so he was all by himself. 328 00:16:07,640 --> 00:16:09,200 Speaker 1: And when we kind of caught a glimpse of the 329 00:16:09,240 --> 00:16:11,560 Speaker 1: Nileys coming to the woods, you know, he had pretty 330 00:16:11,560 --> 00:16:14,000 Speaker 1: distinct rack and a flyer point coming off the sheet two. 331 00:16:14,000 --> 00:16:15,960 Speaker 1: So we knew right away it was him, and he 332 00:16:16,120 --> 00:16:19,120 Speaker 1: was the only year we actually saw. But we Garrett, 333 00:16:19,120 --> 00:16:20,960 Speaker 1: my buddy Garret, who actually want to shot him, put 334 00:16:21,000 --> 00:16:23,600 Speaker 1: an arrow, throw them you know, was still about over 335 00:16:23,640 --> 00:16:25,840 Speaker 1: an hour left of daylight, So who knows what would 336 00:16:25,880 --> 00:16:28,920 Speaker 1: have you know, moved through had we sat there till 337 00:16:29,000 --> 00:16:31,360 Speaker 1: dark If it didn't work out for you on the 338 00:16:31,400 --> 00:16:34,000 Speaker 1: opening haunt, did you have some morning hunts planned to 339 00:16:34,000 --> 00:16:35,560 Speaker 1: get this buck? And what do those look like in 340 00:16:35,600 --> 00:16:38,720 Speaker 1: mid September for you in Minnesota? You know, not for 341 00:16:38,840 --> 00:16:40,880 Speaker 1: this buck, hunting in the morning wasn't really going to 342 00:16:40,960 --> 00:16:43,000 Speaker 1: be in the car just based on the way he 343 00:16:43,160 --> 00:16:46,560 Speaker 1: was his travel patterns. But we've got a couple other 344 00:16:46,600 --> 00:16:48,720 Speaker 1: bucks that we're gonna be hard after and actually our 345 00:16:48,760 --> 00:16:51,560 Speaker 1: top target buck. Um, I think my best chance is 346 00:16:51,560 --> 00:16:54,360 Speaker 1: going to be in the morning because the week coming 347 00:16:54,440 --> 00:16:57,480 Speaker 1: up here. Um, I've got a really good idea on 348 00:16:57,480 --> 00:17:01,160 Speaker 1: where he beds, but his pattern isn't very consistent on 349 00:17:01,800 --> 00:17:03,360 Speaker 1: how he comes back to it. But I kind of 350 00:17:03,360 --> 00:17:05,040 Speaker 1: have an idea of where his endpoint is, which is 351 00:17:05,040 --> 00:17:08,760 Speaker 1: where his bettering areas. So I'm going to jump in. Um. Actually, 352 00:17:09,080 --> 00:17:10,600 Speaker 1: you know what, I don't know this goes live but 353 00:17:10,640 --> 00:17:13,680 Speaker 1: tomorrow morning and uh go in after him and get 354 00:17:13,760 --> 00:17:16,359 Speaker 1: trying to be set up very close to his bettering area, 355 00:17:16,680 --> 00:17:19,680 Speaker 1: you know, at least an hour before for shooting light 356 00:17:20,480 --> 00:17:23,280 Speaker 1: what food sources are relevant right now for white tailors 357 00:17:23,280 --> 00:17:25,560 Speaker 1: in that part of the country. The biggest things I'm 358 00:17:25,560 --> 00:17:30,240 Speaker 1: focusing on is acorns and apple trees if I've got them, um, 359 00:17:30,280 --> 00:17:33,680 Speaker 1: But there's so much natural brows out there as well 360 00:17:33,680 --> 00:17:36,120 Speaker 1: that it can be kind of hard to pin down 361 00:17:36,160 --> 00:17:38,119 Speaker 1: exactly where they're feeding right now. If you don't have 362 00:17:38,240 --> 00:17:40,160 Speaker 1: you know, any type of agg or food or food 363 00:17:40,160 --> 00:17:42,919 Speaker 1: plots or anything like that going forward. Then in the 364 00:17:43,000 --> 00:17:44,840 Speaker 1: next week or so, what do you think that Bucket 365 00:17:44,920 --> 00:17:46,800 Speaker 1: TV is going to be on a scale of one 366 00:17:46,800 --> 00:17:50,520 Speaker 1: to ten in Minnesota? I think where I'm up here 367 00:17:50,560 --> 00:17:52,480 Speaker 1: in the northern part of the state, it's gonna gonna 368 00:17:52,520 --> 00:17:54,680 Speaker 1: be around at six or seven at least. I hope 369 00:17:54,720 --> 00:17:58,920 Speaker 1: we've got um opening day was great, and then the 370 00:17:58,960 --> 00:18:02,120 Speaker 1: second day of season that Sunday and Monday, it's been 371 00:18:02,160 --> 00:18:05,800 Speaker 1: real hot rain thunderstorms, and then uh, it's supposed to 372 00:18:05,840 --> 00:18:08,359 Speaker 1: cool off over twenty degrees starting the rest of the 373 00:18:08,359 --> 00:18:11,480 Speaker 1: week here, and so I've got really high hopes of 374 00:18:11,480 --> 00:18:15,200 Speaker 1: of UH having some good buck activity this week. All right, Alex, Well, 375 00:18:15,240 --> 00:18:17,920 Speaker 1: this episode is going to be coming out after your 376 00:18:17,960 --> 00:18:20,840 Speaker 1: haunt for that target buck you were talking about, UM, 377 00:18:20,880 --> 00:18:22,240 Speaker 1: so I hope it works out for you, and he 378 00:18:22,280 --> 00:18:24,240 Speaker 1: called your shot. Good luck at the rest of your season. Alex, 379 00:18:24,280 --> 00:18:26,520 Speaker 1: thanks for joining me all right, appreciate it. Thanks Spencer 380 00:18:26,840 --> 00:18:28,679 Speaker 1: all right and joining us on the line. Next is 381 00:18:28,720 --> 00:18:32,639 Speaker 1: Gray Drummond from Florida Outdoor Experience in Florida. Now, Gray 382 00:18:32,720 --> 00:18:34,879 Speaker 1: in Florida, what would you say the buck activity has 383 00:18:34,880 --> 00:18:37,320 Speaker 1: been lately on a scale of one to ten in 384 00:18:37,320 --> 00:18:39,520 Speaker 1: our region? I would say it's been about a five 385 00:18:39,880 --> 00:18:43,200 Speaker 1: right now. Um we are and um, we haven't even 386 00:18:43,240 --> 00:18:46,160 Speaker 1: started our pre rut. Um we're still we're dealing with 387 00:18:46,680 --> 00:18:50,680 Speaker 1: up for eighties ninety degree weather. Um. So, yeah, it's 388 00:18:50,680 --> 00:18:55,080 Speaker 1: been tough. Funny now, Florida has a unique white tail herd. 389 00:18:55,080 --> 00:18:57,440 Speaker 1: And then you have different phases that rout happening all over. 390 00:18:57,680 --> 00:18:59,560 Speaker 1: Tell us about what those are right now in different 391 00:18:59,560 --> 00:19:03,359 Speaker 1: parts of this date. Yeah, Florida is to my knowledge 392 00:19:03,400 --> 00:19:07,040 Speaker 1: the only state that you can actually um find a 393 00:19:07,119 --> 00:19:10,560 Speaker 1: rut going on between many starting in July, which is 394 00:19:10,600 --> 00:19:13,200 Speaker 1: South Florida, all the way into February, which would be 395 00:19:13,280 --> 00:19:16,560 Speaker 1: up in the Panhandle. Um my zone, I'm in Zone See, 396 00:19:16,760 --> 00:19:21,000 Speaker 1: which is north central Florida on the west coast. Um 397 00:19:21,040 --> 00:19:24,400 Speaker 1: generally our rut kicks in first part of October, give 398 00:19:24,480 --> 00:19:28,760 Speaker 1: or take a week. Um it in our boath season 399 00:19:28,840 --> 00:19:32,400 Speaker 1: in my particular zone just opened up this past Saturday, 400 00:19:32,440 --> 00:19:34,359 Speaker 1: so we we just got in the woods. We're not 401 00:19:34,400 --> 00:19:36,760 Speaker 1: seeing a lot of sign yet, but I've got a 402 00:19:36,760 --> 00:19:40,440 Speaker 1: feeling that it will turn on. I happened to get 403 00:19:40,520 --> 00:19:44,800 Speaker 1: lucky enough and um took a nice nine point Saturday 404 00:19:44,840 --> 00:19:47,479 Speaker 1: morning and this tarsel glands were pretty well pretty much 405 00:19:47,520 --> 00:19:50,479 Speaker 1: still blonde. To be honest with you, how do your 406 00:19:50,480 --> 00:19:52,560 Speaker 1: setups right now in that area look different in the 407 00:19:52,600 --> 00:19:55,560 Speaker 1: morning versus the evening for hunts, Boy, I tell you, 408 00:19:55,560 --> 00:19:58,199 Speaker 1: in Florida, there's just right now, with the humidity and whatnot, 409 00:19:58,200 --> 00:20:01,399 Speaker 1: there's no concealing your scent. Um, So we're just playing 410 00:20:01,400 --> 00:20:05,359 Speaker 1: the win looking game. Trails. We've had a record amounts 411 00:20:05,359 --> 00:20:07,840 Speaker 1: of rain this year. A majority of the woods in 412 00:20:07,880 --> 00:20:10,800 Speaker 1: our area flooded out. I actually had to take a 413 00:20:10,880 --> 00:20:14,600 Speaker 1: duck boat to get to my standum, which creates uh. 414 00:20:14,680 --> 00:20:17,439 Speaker 1: With the flooding, it creates little oak islands, high grounds, 415 00:20:17,480 --> 00:20:20,800 Speaker 1: and we're concentrating on some of these higher grounds right now. Um. 416 00:20:21,000 --> 00:20:23,520 Speaker 1: A few acres are starting to drop, but again there's 417 00:20:23,560 --> 00:20:25,960 Speaker 1: still about a month away from that really being a 418 00:20:26,000 --> 00:20:29,320 Speaker 1: good food source. We just had so much brows right now. Um, 419 00:20:29,359 --> 00:20:31,879 Speaker 1: your your best luck is to find some game trails 420 00:20:31,880 --> 00:20:34,919 Speaker 1: and target those. You mentioned that it's been in the 421 00:20:34,960 --> 00:20:37,520 Speaker 1: eighties and nineties and very muggy lately. What does the 422 00:20:37,600 --> 00:20:39,760 Speaker 1: cold front look like for you? What is a temp 423 00:20:39,880 --> 00:20:44,960 Speaker 1: drop that gets you excited for dear movement in Florida? Um? Well, 424 00:20:45,080 --> 00:20:47,920 Speaker 1: in both season, if we are lucky enough to get 425 00:20:47,920 --> 00:20:53,160 Speaker 1: anywhere down in the low sixties, I'm I'm very excited. Um. 426 00:20:53,240 --> 00:20:57,320 Speaker 1: We where I'm at, we do. This will make some 427 00:20:57,359 --> 00:21:00,960 Speaker 1: of my northern friends laugh, but we we do have 428 00:21:01,080 --> 00:21:05,800 Speaker 1: somewhat of a winter. Um. It's not uncommon in December 429 00:21:05,880 --> 00:21:09,120 Speaker 1: January for temperatures to dip down into the lower thirties, 430 00:21:09,200 --> 00:21:12,000 Speaker 1: upper twenties. However, it doesn't stay down there that long. 431 00:21:12,440 --> 00:21:14,639 Speaker 1: So you know that that gets me excited. But this 432 00:21:14,720 --> 00:21:17,800 Speaker 1: time of year, anything in the sixties, UM, really gets 433 00:21:17,840 --> 00:21:19,720 Speaker 1: me excited. It turns me on. I'm like, I'll be 434 00:21:19,760 --> 00:21:21,520 Speaker 1: in the woods. I'll drop whatever I'm doing and get 435 00:21:21,520 --> 00:21:24,280 Speaker 1: out there. What are some food sources that are relevant 436 00:21:24,280 --> 00:21:29,240 Speaker 1: for deer movement right now in Florida? Um, Florida has 437 00:21:29,320 --> 00:21:35,520 Speaker 1: because of our moderate temperatures um all over uh, you 438 00:21:35,520 --> 00:21:40,240 Speaker 1: know with it allows for a lot of um farming 439 00:21:40,280 --> 00:21:43,520 Speaker 1: to take place. We have a large crow year, so 440 00:21:43,640 --> 00:21:47,760 Speaker 1: there's a lot of agriculture that's around. Um, a lot 441 00:21:47,800 --> 00:21:50,720 Speaker 1: of our native brows were just focusing on. It's really 442 00:21:50,800 --> 00:21:53,480 Speaker 1: unless you're gonna put corn out right now, which is 443 00:21:53,600 --> 00:21:56,359 Speaker 1: which is legal in Florida. Corn feeders. Um, you know 444 00:21:56,400 --> 00:21:59,439 Speaker 1: you're really going to just uh have to focus on 445 00:21:59,520 --> 00:22:03,040 Speaker 1: these food for these um deer trails, and uh, there's 446 00:22:03,040 --> 00:22:06,320 Speaker 1: just so much brows. It's hard to target a food 447 00:22:06,320 --> 00:22:09,480 Speaker 1: source unless you have something planted or or or using corn. 448 00:22:09,920 --> 00:22:11,879 Speaker 1: You said that you think pre rug could kick off 449 00:22:11,920 --> 00:22:13,840 Speaker 1: any minute. Now, does that mean that you're starting to 450 00:22:13,840 --> 00:22:19,960 Speaker 1: see some signmaking? Yeah, I just started this last week, 451 00:22:20,520 --> 00:22:23,600 Speaker 1: starting to see a couple of scrapes. But no, nothing 452 00:22:23,920 --> 00:22:27,680 Speaker 1: like it will be next month. Um, you know it. 453 00:22:27,680 --> 00:22:30,960 Speaker 1: It generally seems to take place within the first part 454 00:22:31,000 --> 00:22:33,800 Speaker 1: of October, middle of October, like I said, give or 455 00:22:33,840 --> 00:22:37,199 Speaker 1: take a week. Um, the deer that I took Saturday 456 00:22:37,920 --> 00:22:41,879 Speaker 1: just laid back, UM, not ruddy at all. Just happened 457 00:22:41,920 --> 00:22:45,560 Speaker 1: to be, you know, at the wrong place at the 458 00:22:45,640 --> 00:22:48,720 Speaker 1: right time for me. Where are you running your trail 459 00:22:48,760 --> 00:22:53,280 Speaker 1: cameras right now, Right now, I'm running them on trails 460 00:22:53,320 --> 00:22:55,879 Speaker 1: I can find on high ground. Um, we are, like 461 00:22:55,920 --> 00:22:59,000 Speaker 1: I said, we've had records amount record amount of rain 462 00:22:59,080 --> 00:23:03,199 Speaker 1: here and is being um so close to the coast, 463 00:23:03,480 --> 00:23:07,680 Speaker 1: um water table being so high right now. But we're 464 00:23:07,760 --> 00:23:10,240 Speaker 1: woods are pretty much sweated out. So any place you 465 00:23:10,280 --> 00:23:13,119 Speaker 1: can find some high ground, you're going to, You're gonna 466 00:23:13,119 --> 00:23:16,240 Speaker 1: have some activity going forward. Then, in this next week 467 00:23:16,359 --> 00:23:18,119 Speaker 1: or so, what do you think that Buck ACTV is 468 00:23:18,160 --> 00:23:19,720 Speaker 1: going to be on a scale of one to ten 469 00:23:19,800 --> 00:23:24,240 Speaker 1: in Florida once our rutt kicks in, and this particularly 470 00:23:24,240 --> 00:23:26,280 Speaker 1: again I'm not I can't speak for all of Florida, 471 00:23:26,320 --> 00:23:29,120 Speaker 1: but in our particular part of Florida, once I rud Kickson, 472 00:23:29,240 --> 00:23:32,920 Speaker 1: I will say it's um eight to nine. You know, 473 00:23:33,000 --> 00:23:37,080 Speaker 1: it'll it'll, it'll just turn on like a light. My great. 474 00:23:37,080 --> 00:23:39,120 Speaker 1: Congrats on that great buck that you killed. Good luck 475 00:23:39,160 --> 00:23:40,800 Speaker 1: with the rest of your season, and thanks for joining me. 476 00:23:41,080 --> 00:23:42,920 Speaker 1: Thank you so much. Have a good rest of your 477 00:23:42,920 --> 00:23:45,840 Speaker 1: season too, good luck joining us on the line. Next 478 00:23:45,920 --> 00:23:49,000 Speaker 1: is Keith Thompson from Montana. White Tails in Montana. Now, 479 00:23:49,080 --> 00:23:51,360 Speaker 1: Keith in Montana, what would you say the buck activity 480 00:23:51,400 --> 00:23:56,600 Speaker 1: has been lately on the scale of one to ten. Honest, five, Um, 481 00:23:56,760 --> 00:23:58,879 Speaker 1: it's been the first two weeks this he's have been 482 00:23:58,880 --> 00:24:03,040 Speaker 1: pretty rough for us here. Uh, major temperature swings. It 483 00:24:03,080 --> 00:24:05,720 Speaker 1: was pretty darn hot here, so I wouldn't have to 484 00:24:07,080 --> 00:24:09,680 Speaker 1: say that was probably the reason. Um, this week it's 485 00:24:09,720 --> 00:24:12,440 Speaker 1: cooled down and there's definitely been a lot more activity. 486 00:24:12,480 --> 00:24:15,000 Speaker 1: We killed a really good buck this morning, so it's 487 00:24:15,119 --> 00:24:16,920 Speaker 1: things are looking at people are seeing a lot more 488 00:24:16,960 --> 00:24:20,080 Speaker 1: to here. So it's i'd say, you know, like I said, 489 00:24:20,560 --> 00:24:24,000 Speaker 1: a modest five with that hunter that you guided this 490 00:24:24,040 --> 00:24:26,760 Speaker 1: morning to that successful hunt, what did that set up 491 00:24:26,760 --> 00:24:30,119 Speaker 1: look like? We tucked them in pretty early into a 492 00:24:30,280 --> 00:24:34,560 Speaker 1: into a betting area, kind of targeting those deer coming 493 00:24:34,560 --> 00:24:37,080 Speaker 1: out of the alfalfa fields in the morning, trying to 494 00:24:37,080 --> 00:24:40,479 Speaker 1: catch them slipping back into their beds. Now. Your region 495 00:24:40,640 --> 00:24:42,879 Speaker 1: in Montana and most of the state has been in 496 00:24:42,880 --> 00:24:45,680 Speaker 1: a drought this summer and early fall, so as water 497 00:24:45,760 --> 00:24:48,880 Speaker 1: factored into any of your haunts so far, we've we've 498 00:24:48,920 --> 00:24:51,600 Speaker 1: been setting up on water for certain instances, especially the 499 00:24:51,680 --> 00:24:54,840 Speaker 1: last two weeks with it being so warm. Um, it 500 00:24:54,960 --> 00:24:59,080 Speaker 1: still hasn't been all that productive. I mean, we're we 501 00:24:59,160 --> 00:25:01,800 Speaker 1: had some hunter that we're seeing those and young bucks, 502 00:25:01,840 --> 00:25:04,560 Speaker 1: but it just seemed like those bigger books were not 503 00:25:04,680 --> 00:25:08,960 Speaker 1: moving very well until night cover. Anyways, what food sources 504 00:25:08,960 --> 00:25:12,840 Speaker 1: are relevant for you right now? We're hunting mainly alfalfa 505 00:25:12,880 --> 00:25:16,679 Speaker 1: field we're to and from, I mean coming from in 506 00:25:16,680 --> 00:25:19,080 Speaker 1: the morning and going to in the evening is our 507 00:25:19,119 --> 00:25:24,160 Speaker 1: main food source. The brows has been dead since it's 508 00:25:24,200 --> 00:25:27,119 Speaker 1: been so dry, so that's kind of helpless for the evening. 509 00:25:27,480 --> 00:25:30,320 Speaker 1: The temperatures have been rough, but this week has been 510 00:25:30,920 --> 00:25:33,320 Speaker 1: a drastic change. I said, we have people seeing twice 511 00:25:33,359 --> 00:25:35,120 Speaker 1: as many deers this week as they have the first 512 00:25:35,119 --> 00:25:38,760 Speaker 1: two weeks, so it's looking up. And our bucks still 513 00:25:38,760 --> 00:25:40,879 Speaker 1: traveling in bachelor groups or have they all broken out 514 00:25:40,920 --> 00:25:45,720 Speaker 1: by this point? Um seeing all bachelor groups, I actually like, 515 00:25:45,760 --> 00:25:47,040 Speaker 1: I said, I have a guy in a hay buill 516 00:25:47,080 --> 00:25:49,480 Speaker 1: blind right now. Last night I watched that field and 517 00:25:49,560 --> 00:25:53,640 Speaker 1: six bucks came out together right at you know, seven fifteen, 518 00:25:53,720 --> 00:25:57,359 Speaker 1: seven thirties, so I'd definitely say they're still bachelord up, 519 00:25:57,359 --> 00:25:59,960 Speaker 1: and they are three of the six. We're pretty dark 520 00:26:00,000 --> 00:26:02,560 Speaker 1: and good books, so that was good to see. You 521 00:26:02,640 --> 00:26:05,240 Speaker 1: mentioned that your hunter this morning was hunting close to 522 00:26:05,280 --> 00:26:07,760 Speaker 1: a betting area. So how deep in the timber is 523 00:26:07,840 --> 00:26:10,240 Speaker 1: that off of those field edges to find those betting 524 00:26:10,240 --> 00:26:13,160 Speaker 1: areas right now? For us being in the river bottom, 525 00:26:13,320 --> 00:26:16,119 Speaker 1: it's kind of you know, it could be a continuous 526 00:26:16,119 --> 00:26:19,240 Speaker 1: stretch of five to six hundred yards where he was. 527 00:26:19,800 --> 00:26:21,960 Speaker 1: I had him probably a hundred and fifty to two 528 00:26:22,000 --> 00:26:24,679 Speaker 1: hundred yards off of the alfalfa field that we had 529 00:26:24,720 --> 00:26:28,560 Speaker 1: seen the buck in before, so roughly a hundred yards 530 00:26:28,600 --> 00:26:32,600 Speaker 1: back in. And are you seeing any signmaking in those areas? Ah, yeah, 531 00:26:32,680 --> 00:26:35,200 Speaker 1: there's We started seeing a few rubs. I don't know 532 00:26:35,240 --> 00:26:38,800 Speaker 1: if they were just you know, velvet rubs or anything 533 00:26:38,880 --> 00:26:41,080 Speaker 1: like that, but we we started to see a little 534 00:26:41,119 --> 00:26:43,920 Speaker 1: bit more sign popping up. Anyways, where are you guys 535 00:26:44,000 --> 00:26:46,960 Speaker 1: running your trail cameras this time of year? Uh, to 536 00:26:47,040 --> 00:26:49,520 Speaker 1: be honest with you, we don't. We don't run that 537 00:26:49,560 --> 00:26:51,919 Speaker 1: many simply a fact that I can do a lot 538 00:26:51,960 --> 00:26:55,920 Speaker 1: of scouting from the vehicle. Um, we're kind of fortunate 539 00:26:55,960 --> 00:26:58,199 Speaker 1: with that. We can kind of park up high and 540 00:26:58,240 --> 00:27:00,240 Speaker 1: we can watch two or three of our off alfa 541 00:27:00,280 --> 00:27:02,160 Speaker 1: field to kind of give us an idea what's coming 542 00:27:02,160 --> 00:27:05,400 Speaker 1: out where, and we would kind of base it off 543 00:27:05,400 --> 00:27:08,440 Speaker 1: of that to be honest, and how does that mobile 544 00:27:08,480 --> 00:27:12,119 Speaker 1: scouting change for you in October and November versus September. 545 00:27:13,200 --> 00:27:15,520 Speaker 1: It will definitely change, Like you said, the bucks will 546 00:27:15,560 --> 00:27:20,280 Speaker 1: start to separate. And it's you know, bucks that we 547 00:27:20,280 --> 00:27:23,639 Speaker 1: were frequenting in one alfalfa field. If that field drives 548 00:27:23,720 --> 00:27:26,440 Speaker 1: up or they eat it out by October, so we 549 00:27:26,520 --> 00:27:29,360 Speaker 1: hit another alf alfa field. So it's it's kind of nice, 550 00:27:29,400 --> 00:27:32,160 Speaker 1: like you said, to keep bouncing around to be able 551 00:27:32,160 --> 00:27:35,040 Speaker 1: to visually see the deer to make our move as 552 00:27:35,040 --> 00:27:37,560 Speaker 1: far as what we're doing and how we're doing it, 553 00:27:37,600 --> 00:27:40,400 Speaker 1: like today and another guide here, we went and set 554 00:27:40,480 --> 00:27:42,359 Speaker 1: up a ground blind, the hay bail blind, and I 555 00:27:42,400 --> 00:27:44,879 Speaker 1: have the hunter and right now that you know, we 556 00:27:44,920 --> 00:27:47,400 Speaker 1: hadn't hunted at all yet this year, and we took 557 00:27:47,480 --> 00:27:50,120 Speaker 1: notice the last two nights we had you know, six 558 00:27:50,160 --> 00:27:52,119 Speaker 1: bucks coming out together. And it's one of those deals 559 00:27:52,119 --> 00:27:55,600 Speaker 1: where that most recent information being able to visually see 560 00:27:55,640 --> 00:27:57,520 Speaker 1: those deer really helps a lot to be able to 561 00:27:57,640 --> 00:28:00,639 Speaker 1: stay mobile and move to where the deer are going forward. Then, 562 00:28:00,680 --> 00:28:02,240 Speaker 1: in this next week or so, what do you think 563 00:28:02,240 --> 00:28:04,200 Speaker 1: that Buck ACTV is going to be on a scale 564 00:28:04,240 --> 00:28:08,240 Speaker 1: of one to ten in Montana. I hope it increases. 565 00:28:08,359 --> 00:28:11,320 Speaker 1: I mean the temperatures are, you know, hopefully they'll start 566 00:28:12,000 --> 00:28:15,080 Speaker 1: dropping and staying lower. I know that the highs is 567 00:28:15,119 --> 00:28:17,359 Speaker 1: what kills us. I mean, it's been cool in the morning, 568 00:28:17,359 --> 00:28:20,560 Speaker 1: and it's it's been cooling down at night. But it's 569 00:28:20,680 --> 00:28:22,840 Speaker 1: if we get these days where it reaches eighty degrees, 570 00:28:22,920 --> 00:28:25,119 Speaker 1: it just doesn't drop enough for the evening hunt. But 571 00:28:25,880 --> 00:28:28,720 Speaker 1: I'd give it a hopefully a six. Maybe we'll we'll 572 00:28:29,200 --> 00:28:31,800 Speaker 1: hopefully go from there. All right, Keith, good luck to 573 00:28:31,840 --> 00:28:33,960 Speaker 1: you and your clients in camp. Thanks for joining me, 574 00:28:34,240 --> 00:28:36,200 Speaker 1: Thank you all right and joining us on the line. 575 00:28:36,280 --> 00:28:38,720 Speaker 1: Last is Tony Peterson, whose content you can find all 576 00:28:38,760 --> 00:28:42,080 Speaker 1: over Wired Hunt. Who's hunting in Wisconsin. Now, Tony in Wisconsin, 577 00:28:42,160 --> 00:28:44,040 Speaker 1: what would you say the buck activity has been lately? 578 00:28:44,120 --> 00:28:47,920 Speaker 1: On a scale of one to ten, the buck activity, 579 00:28:48,360 --> 00:28:51,520 Speaker 1: I would say, if I'm being totally honest, was a 580 00:28:51,640 --> 00:28:54,480 Speaker 1: zero for us. But I don't I think that was situational. 581 00:28:54,480 --> 00:28:57,840 Speaker 1: I don't think it was quite that bad. Now. When 582 00:28:57,840 --> 00:28:59,640 Speaker 1: I talked to you last week, Tony, you talked about 583 00:28:59,680 --> 00:29:02,240 Speaker 1: how ground blinds were gonna be a big part of 584 00:29:02,320 --> 00:29:04,840 Speaker 1: your weekend and you'd be hunting staging areas and field 585 00:29:04,960 --> 00:29:07,600 Speaker 1: edges and water wouldn't be a focus. How much of 586 00:29:07,640 --> 00:29:09,600 Speaker 1: that came true once he had boots on the ground 587 00:29:09,640 --> 00:29:13,960 Speaker 1: in Wisconsin over the weekend, Man, I would say all 588 00:29:14,000 --> 00:29:16,760 Speaker 1: of it. We we didn't you know, water really wasn't 589 00:29:16,760 --> 00:29:21,040 Speaker 1: a factor. We uh we kind of you know, paint 590 00:29:21,040 --> 00:29:25,000 Speaker 1: our hopes on staging areas, catching deer, coming back, coming 591 00:29:25,000 --> 00:29:27,640 Speaker 1: back in the mornings from food sources, and heading out 592 00:29:27,640 --> 00:29:30,200 Speaker 1: in the evenings. And it Saturday was a real bus 593 00:29:30,280 --> 00:29:32,400 Speaker 1: for us. But Sunday worked out and it actually played 594 00:29:32,440 --> 00:29:35,280 Speaker 1: out the way we thought it might. And your nine 595 00:29:35,320 --> 00:29:38,040 Speaker 1: year old twin daughter killed a doe. Tell us about 596 00:29:38,080 --> 00:29:39,680 Speaker 1: that set up, Why you guys were in that spot 597 00:29:39,680 --> 00:29:42,400 Speaker 1: and why that doll was in that spot? Yeah, she did. 598 00:29:42,400 --> 00:29:45,160 Speaker 1: It was the first year. It was really really cool 599 00:29:45,280 --> 00:29:47,800 Speaker 1: we we were there. I was panicked a little bit 600 00:29:47,840 --> 00:29:49,920 Speaker 1: the week before the season opened because I didn't think 601 00:29:49,960 --> 00:29:52,880 Speaker 1: we had a good morning set up, And so I 602 00:29:52,920 --> 00:29:56,160 Speaker 1: went over there to Wisconsin and this spot, it's a 603 00:29:56,400 --> 00:29:58,920 Speaker 1: it's a private place, but there's just sort of an 604 00:29:58,960 --> 00:30:02,520 Speaker 1: area they filtered through coming back from the neighbor's bean field. 605 00:30:02,960 --> 00:30:05,600 Speaker 1: There's some tree rows there and there's a swamp on 606 00:30:05,600 --> 00:30:08,560 Speaker 1: one side that kind of kind of keeps them in line, 607 00:30:09,160 --> 00:30:12,120 Speaker 1: and so I put a ground line in that that 608 00:30:12,160 --> 00:30:14,600 Speaker 1: tree roll, thinking we might catch them coming back in 609 00:30:14,640 --> 00:30:18,320 Speaker 1: the morning from that destination food source. And that's exactly 610 00:30:18,320 --> 00:30:20,320 Speaker 1: how it played out. We had one dough come in, 611 00:30:21,400 --> 00:30:22,880 Speaker 1: you know, it's dead come and she got a little 612 00:30:22,880 --> 00:30:25,520 Speaker 1: bit wiggy. She she gave my daughter, I don't know, 613 00:30:25,560 --> 00:30:28,600 Speaker 1: like shot, and it just worked out and it was 614 00:30:28,920 --> 00:30:31,680 Speaker 1: really cool. Man. Both times I've talked to you, Tony, 615 00:30:31,760 --> 00:30:34,880 Speaker 1: you've you've touched on how much water the state has 616 00:30:34,960 --> 00:30:37,640 Speaker 1: this year. Is there enough water to be dictating dear 617 00:30:37,720 --> 00:30:40,360 Speaker 1: movement and is it forcing them out of certain areas 618 00:30:40,440 --> 00:30:42,680 Speaker 1: or to take different paths or has that not been 619 00:30:43,120 --> 00:30:46,600 Speaker 1: that much of an issue for patterns at least? Um, 620 00:30:46,640 --> 00:30:48,520 Speaker 1: you know, I wouldn't say there's enough water over there 621 00:30:48,520 --> 00:30:52,280 Speaker 1: to really force them anywhere too. You know that they 622 00:30:52,320 --> 00:30:54,440 Speaker 1: they want to stay dry, so they'll circle around it. 623 00:30:55,000 --> 00:30:58,000 Speaker 1: But it's you know, it's just a difference between diving 624 00:30:58,040 --> 00:31:01,320 Speaker 1: through a really nasty swamp stick and full of alders 625 00:31:01,320 --> 00:31:03,400 Speaker 1: and everything, or staying out in the open. And so 626 00:31:04,000 --> 00:31:06,320 Speaker 1: that's more of you know, when you're in a really 627 00:31:06,360 --> 00:31:09,600 Speaker 1: predator dense place like we were. They seem to in 628 00:31:09,640 --> 00:31:12,360 Speaker 1: those low light situations kind of find these places where 629 00:31:12,360 --> 00:31:14,640 Speaker 1: they can travel somewhat in the open but still have 630 00:31:14,760 --> 00:31:16,800 Speaker 1: some cover to protect them, if that makes any sense. 631 00:31:17,120 --> 00:31:18,800 Speaker 1: And so that's that's what I'm kind of talking about 632 00:31:18,800 --> 00:31:22,600 Speaker 1: with the swamp situation there. What food sources relevant right now? 633 00:31:22,640 --> 00:31:27,280 Speaker 1: In Wisconsin? Man, you know, our deer were they were 634 00:31:27,360 --> 00:31:29,600 Speaker 1: mostly coming off of beans, but I think some of 635 00:31:29,600 --> 00:31:32,800 Speaker 1: them were key in on a just an lfal ful 636 00:31:32,840 --> 00:31:36,680 Speaker 1: field as well, but that had been just very recently cut, 637 00:31:36,760 --> 00:31:39,360 Speaker 1: and so I think, you know, you really can't go 638 00:31:39,400 --> 00:31:42,520 Speaker 1: wrong with september and soybeans. Where are you running a 639 00:31:42,520 --> 00:31:47,840 Speaker 1: lot of your trail cameras right now, man, I'm running 640 00:31:47,880 --> 00:31:50,400 Speaker 1: them in anything I think that's going to be a 641 00:31:50,440 --> 00:31:54,160 Speaker 1: staging area as the deer traveled to and from bedding 642 00:31:54,160 --> 00:31:57,320 Speaker 1: and food and food in bed Are you seeing any 643 00:31:57,360 --> 00:31:59,480 Speaker 1: signmaking right now in those stage again or use or 644 00:31:59,520 --> 00:32:04,400 Speaker 1: another part to the woods? I am. I found some 645 00:32:04,400 --> 00:32:06,240 Speaker 1: some of the first rubs of the season this year. 646 00:32:06,240 --> 00:32:08,640 Speaker 1: We actually found a monster rub. We we spent a 647 00:32:08,680 --> 00:32:11,600 Speaker 1: little time brook trout fishing over there and found a 648 00:32:11,680 --> 00:32:16,480 Speaker 1: crossing that was just rubbed up and it was pretty cool. 649 00:32:16,520 --> 00:32:18,200 Speaker 1: So I've started to see a little bit of buck 650 00:32:18,240 --> 00:32:21,600 Speaker 1: time now. Hunting with your daughter, the goal was a 651 00:32:21,640 --> 00:32:23,240 Speaker 1: little bit different and that you were just trying to 652 00:32:23,240 --> 00:32:25,000 Speaker 1: get any legal do you're on the ground from a 653 00:32:25,040 --> 00:32:27,280 Speaker 1: ground line. But if you were hunting for yourself, Tony, 654 00:32:27,280 --> 00:32:28,800 Speaker 1: if you were trying to kill a buck in the 655 00:32:28,880 --> 00:32:32,200 Speaker 1: morning in mid September to late September, what would that 656 00:32:32,240 --> 00:32:37,520 Speaker 1: set up look like in a state like Wisconsin, getting 657 00:32:37,560 --> 00:32:39,560 Speaker 1: back in the cover off of the food and just 658 00:32:40,240 --> 00:32:44,480 Speaker 1: playing that real, real early movement. You know, maybe a 659 00:32:44,520 --> 00:32:47,520 Speaker 1: couple d yards off of the destination food sources, as 660 00:32:47,520 --> 00:32:49,200 Speaker 1: long as you can sneak in and that, you know, 661 00:32:49,280 --> 00:32:50,920 Speaker 1: that's the key to everything is if you have the 662 00:32:50,960 --> 00:32:55,360 Speaker 1: access to these spots, you can absolutely make a staging 663 00:32:55,400 --> 00:32:57,880 Speaker 1: area type of hunt. Happened in the morning in September, 664 00:32:57,920 --> 00:32:59,600 Speaker 1: but you really got to be able to sneak in 665 00:32:59,640 --> 00:33:02,440 Speaker 1: and that would that was absolutely the secret. So how 666 00:33:02,480 --> 00:33:05,080 Speaker 1: my daughter kills her dear? Going forward? Then, in this 667 00:33:05,120 --> 00:33:06,720 Speaker 1: next week or so, what do you think that buck 668 00:33:06,800 --> 00:33:08,600 Speaker 1: ACTV is going to be on a scale of one 669 00:33:08,640 --> 00:33:12,320 Speaker 1: to ten in Wisconsin. I'm gonna I'm gonna bump her 670 00:33:12,360 --> 00:33:16,320 Speaker 1: up to a five. I think it's gonna get better there, Spence. Alright, Tony, 671 00:33:16,360 --> 00:33:18,720 Speaker 1: I like your optimism, um, but that's not a whole 672 00:33:18,760 --> 00:33:20,720 Speaker 1: lot more optimistic. I hope you're wrong and it's it's 673 00:33:20,760 --> 00:33:22,840 Speaker 1: even better than five. Good luck with the rest of 674 00:33:22,840 --> 00:33:26,520 Speaker 1: your haunts. And thanks for joining me. Awesome, Thanks buddy, 675 00:33:27,640 --> 00:33:30,640 Speaker 1: And that concludes episode four hundred and fifty seven of 676 00:33:30,760 --> 00:33:34,680 Speaker 1: rut Fresh Radio. Next to Alex Gray, Keith and Tony 677 00:33:34,760 --> 00:33:37,240 Speaker 1: for joining me, and thank you guys for listening. As 678 00:33:37,240 --> 00:33:39,800 Speaker 1: a reminder, our reading materials for this week can be 679 00:33:39,840 --> 00:33:42,080 Speaker 1: found in the description where you have things like best 680 00:33:42,120 --> 00:33:44,680 Speaker 1: food sources for big woods white tails, how to kill 681 00:33:44,720 --> 00:33:47,240 Speaker 1: a buck in high wind. By September is the best 682 00:33:47,320 --> 00:33:49,920 Speaker 1: month to haunt scrapes and should you deer hunt in 683 00:33:49,960 --> 00:33:52,200 Speaker 1: the raid, I will talk to you next week and 684 00:33:52,280 --> 00:33:54,040 Speaker 1: until then stay wired to hunt.