1 00:00:02,880 --> 00:00:06,440 Speaker 1: Welcome to the Wired to Hunt podcast, your home for 2 00:00:06,519 --> 00:00:11,520 Speaker 1: deer hunting news, stories and strategies, and now your host, 3 00:00:11,880 --> 00:00:16,880 Speaker 1: Mark Kenyon. Welcome to the Wired to Hunt podcast presented 4 00:00:16,880 --> 00:00:20,640 Speaker 1: by on X. This is episode three seventy seven. This 5 00:00:20,720 --> 00:00:24,959 Speaker 1: is rot Fresh Radio, but this is not Mark Kenyon. Instead, 6 00:00:25,000 --> 00:00:27,920 Speaker 1: you're stuck with just me this week, Spencer new Hearth. 7 00:00:28,400 --> 00:00:31,240 Speaker 1: Mark and I were not able to hop on the 8 00:00:31,240 --> 00:00:36,720 Speaker 1: computers and record an intro this week because yesterday October six, 9 00:00:37,000 --> 00:00:39,839 Speaker 1: I killed a book in Wyoming and dealt with that 10 00:00:39,880 --> 00:00:43,960 Speaker 1: for most of the day. And today October seven, Uh, 11 00:00:44,320 --> 00:00:46,120 Speaker 1: I'm not gonna give you all the details, but I'll 12 00:00:46,159 --> 00:00:49,520 Speaker 1: tell you that a buck was killed on the back 13 00:00:49,640 --> 00:00:52,280 Speaker 1: forty So you're gonna have to tune into future episodes 14 00:00:52,320 --> 00:00:56,400 Speaker 1: and check out Mark social to see exactly what happened. Now, 15 00:00:56,400 --> 00:00:58,400 Speaker 1: the last time we talked, I told Mark I was 16 00:00:58,520 --> 00:01:01,320 Speaker 1: on my way to Wyoming. I'd be there for five 17 00:01:01,400 --> 00:01:03,880 Speaker 1: days and I was looking for a mule deer or 18 00:01:03,960 --> 00:01:07,800 Speaker 1: a white tail on public land. And as Mark would say, 19 00:01:07,880 --> 00:01:10,160 Speaker 1: I'm going to give you a cliff notes version of 20 00:01:10,200 --> 00:01:13,000 Speaker 1: what happened in the Cowboys State. The first couple of 21 00:01:13,080 --> 00:01:15,200 Speaker 1: days there, I was looking for a mule deer, and 22 00:01:15,240 --> 00:01:18,240 Speaker 1: I was really struggling to do so. Um, what I 23 00:01:18,280 --> 00:01:20,520 Speaker 1: didn't know about this part of the state that I 24 00:01:20,560 --> 00:01:23,679 Speaker 1: was going to is that it was wildly dry. There 25 00:01:23,680 --> 00:01:26,280 Speaker 1: were often times where I was glass in an area, 26 00:01:26,880 --> 00:01:29,360 Speaker 1: and uh, I had this realization that there was more 27 00:01:29,360 --> 00:01:32,600 Speaker 1: water in my backpack than there was for like a 28 00:01:32,680 --> 00:01:36,440 Speaker 1: mile in any direction. And why that's important when it 29 00:01:36,480 --> 00:01:38,800 Speaker 1: comes to me feeling my white tail tag is that 30 00:01:38,880 --> 00:01:42,039 Speaker 1: I realized the green food sources are also where you'd 31 00:01:42,080 --> 00:01:44,920 Speaker 1: find water, which is also where you'd find deer. And 32 00:01:44,959 --> 00:01:48,160 Speaker 1: it's also very telling that that area has a high 33 00:01:48,240 --> 00:01:53,600 Speaker 1: prevalence of c w D because despite it being big country, 34 00:01:53,760 --> 00:01:55,840 Speaker 1: most of the deer are just stacked on top of 35 00:01:55,840 --> 00:01:59,800 Speaker 1: each other and focused on these green food sources. When 36 00:01:59,800 --> 00:02:02,320 Speaker 1: I had switched gears and started looking for white tails, 37 00:02:02,360 --> 00:02:05,560 Speaker 1: then I went and looked for pieces of private ground 38 00:02:05,840 --> 00:02:09,560 Speaker 1: that would have the ideal food that were someplace near 39 00:02:09,600 --> 00:02:12,720 Speaker 1: public where I could intercept these white tails going to 40 00:02:12,840 --> 00:02:16,080 Speaker 1: feed in this big egg And ultimately that was the 41 00:02:16,080 --> 00:02:19,080 Speaker 1: difference maker between me killing a deer and not killing 42 00:02:19,080 --> 00:02:22,000 Speaker 1: a deer. Um. Although I was hunting public ground, I 43 00:02:22,120 --> 00:02:25,800 Speaker 1: had the benefit of accessing it through this private which 44 00:02:25,919 --> 00:02:31,360 Speaker 1: left behind basically hunters that would ever be on that property. 45 00:02:31,520 --> 00:02:33,760 Speaker 1: When it comes to the actual killing of the deer, um, 46 00:02:33,800 --> 00:02:36,080 Speaker 1: when I found while I was there is that the 47 00:02:36,120 --> 00:02:39,399 Speaker 1: deer were quite predictable. They were sort of on patterns 48 00:02:39,440 --> 00:02:42,040 Speaker 1: that you would expect to see in like mid to 49 00:02:42,200 --> 00:02:44,640 Speaker 1: late September. So the buck that I ended up killing, 50 00:02:44,919 --> 00:02:46,720 Speaker 1: which is a five by five that you can go 51 00:02:46,800 --> 00:02:50,680 Speaker 1: see on my Instagram at Spencer New Hearth, he was 52 00:02:50,720 --> 00:02:53,280 Speaker 1: a deer that I had seen Monday morning and then 53 00:02:53,320 --> 00:02:57,000 Speaker 1: I had seen Monday night. Um and using that information, 54 00:02:57,440 --> 00:02:59,560 Speaker 1: I went to the area where he was entering this 55 00:02:59,680 --> 00:03:02,680 Speaker 1: field that morning and that evening, and I ended up 56 00:03:02,760 --> 00:03:05,839 Speaker 1: killing him on Tuesday morning. If you recall on last 57 00:03:05,840 --> 00:03:08,520 Speaker 1: week's episode, Mark and I talked about how killing a 58 00:03:08,600 --> 00:03:11,160 Speaker 1: deer this time of year, so much of it comes 59 00:03:11,160 --> 00:03:14,720 Speaker 1: down to being aggressive and really weighing that risk versus 60 00:03:14,840 --> 00:03:18,600 Speaker 1: reward factor between bumping a book and not seeing him 61 00:03:18,639 --> 00:03:21,919 Speaker 1: for another three weeks and killing a buck. Now, for me, 62 00:03:22,360 --> 00:03:25,240 Speaker 1: I didn't have much of a choice but to be aggressive. 63 00:03:25,280 --> 00:03:28,000 Speaker 1: This was public land. This was the last day of 64 00:03:28,040 --> 00:03:30,559 Speaker 1: the haunt, on a trip that I had already extended 65 00:03:30,600 --> 00:03:32,799 Speaker 1: by a day. Because I thought I might be able 66 00:03:32,800 --> 00:03:36,120 Speaker 1: to get it done. Um So when you're weighing those factors, 67 00:03:36,160 --> 00:03:39,520 Speaker 1: you're out of state public ground. Final day, I was 68 00:03:39,600 --> 00:03:42,880 Speaker 1: more aggressive than I typically would be on October six, 69 00:03:43,360 --> 00:03:45,840 Speaker 1: and that's how I killed this white tail. So that's 70 00:03:45,840 --> 00:03:47,960 Speaker 1: the theme that you're gonna hear in this week's episode 71 00:03:47,960 --> 00:03:51,480 Speaker 1: and future episodes of rod Fresh Radio as we get 72 00:03:51,520 --> 00:03:54,720 Speaker 1: into what most hunters consider the law. Now this week, 73 00:03:54,760 --> 00:03:58,240 Speaker 1: we're gonna talk to Adam Bold's in Indiana, Kyler Mopper 74 00:03:58,400 --> 00:04:02,280 Speaker 1: in Louisiana, just In Michelle in New York, and Clifford 75 00:04:02,320 --> 00:04:05,120 Speaker 1: Martin in Iowa. If you take anything away from this 76 00:04:05,160 --> 00:04:07,640 Speaker 1: week's episode of rout Fresh Radio, I wanted to be 77 00:04:07,680 --> 00:04:10,120 Speaker 1: something that Mark and I have covered in a few 78 00:04:10,160 --> 00:04:13,240 Speaker 1: seasons in the past, and it's that if you think 79 00:04:13,240 --> 00:04:16,760 Speaker 1: about buck movement as a line graph, it's going to 80 00:04:17,040 --> 00:04:21,880 Speaker 1: start to increase in like early September, and then it's 81 00:04:21,920 --> 00:04:25,160 Speaker 1: going to peek around early to mid November, and then 82 00:04:25,200 --> 00:04:27,840 Speaker 1: it's going to start to decrease after that. Now, that's 83 00:04:27,839 --> 00:04:31,560 Speaker 1: a very rudimentary way to think about how bucks are 84 00:04:31,600 --> 00:04:36,920 Speaker 1: moving in daylight, but within that rise and fall, you 85 00:04:36,960 --> 00:04:40,400 Speaker 1: also have these little ebbs and flows of more movement 86 00:04:40,480 --> 00:04:43,360 Speaker 1: and less movement. What I think we're at right now 87 00:04:43,920 --> 00:04:47,480 Speaker 1: is these last like five days, we had more movement 88 00:04:47,480 --> 00:04:50,040 Speaker 1: and so that line graph would be up, uh, and 89 00:04:50,080 --> 00:04:53,480 Speaker 1: we're currently leveling out now, coming back down to what 90 00:04:53,520 --> 00:04:56,920 Speaker 1: you'd expect to see this time of year. So while 91 00:04:56,960 --> 00:04:59,200 Speaker 1: the hunters that we talked to you this week um 92 00:04:59,279 --> 00:05:01,760 Speaker 1: sound pretty pestimistic, just know that it's going to swing 93 00:05:01,839 --> 00:05:04,320 Speaker 1: the other way and things are going to get better, 94 00:05:04,600 --> 00:05:06,800 Speaker 1: but that this next week or so is going to 95 00:05:06,880 --> 00:05:09,760 Speaker 1: be a difficult time to kill a mature white tail. 96 00:05:10,120 --> 00:05:12,960 Speaker 1: It can still absolutely be done, although the hunting was 97 00:05:13,000 --> 00:05:15,680 Speaker 1: probably better five days ago and it's going to be 98 00:05:15,680 --> 00:05:18,400 Speaker 1: better again in ten days or so. But that's enough 99 00:05:18,440 --> 00:05:20,480 Speaker 1: for me for this week. Let's get to our first 100 00:05:20,480 --> 00:05:25,120 Speaker 1: interview alright, and joining us on the line next is 101 00:05:25,240 --> 00:05:28,600 Speaker 1: Adam Bolds from Hunt the Wild Now Adam in Indiana? 102 00:05:28,680 --> 00:05:30,680 Speaker 1: What would you say the buck activity is ben lately? 103 00:05:30,839 --> 00:05:34,200 Speaker 1: On the scale of one to ten, I would say 104 00:05:34,240 --> 00:05:37,320 Speaker 1: about as five. I'm gonna go to the mid level. 105 00:05:37,880 --> 00:05:39,440 Speaker 1: I think a lot of it has to do with 106 00:05:39,480 --> 00:05:44,640 Speaker 1: the weather right now. As far as buck activity during 107 00:05:44,839 --> 00:05:48,320 Speaker 1: the nighttime hours, it's tire, But like during the day, 108 00:05:48,440 --> 00:05:52,720 Speaker 1: hunting hours, last light, anything like that. It's just gosh, 109 00:05:52,760 --> 00:05:57,200 Speaker 1: the weather, it's just been a killer ninety degrees constant. Yeah, 110 00:05:57,480 --> 00:06:01,000 Speaker 1: just looking for a cold front. As a public land hunter, 111 00:06:01,240 --> 00:06:03,320 Speaker 1: what are you looking for when you go in in 112 00:06:03,480 --> 00:06:06,080 Speaker 1: early to mid October when you're trying to kill a 113 00:06:06,080 --> 00:06:11,080 Speaker 1: buck early to mid October, I'm usually looking for all 114 00:06:12,200 --> 00:06:15,200 Speaker 1: around here public lands a little bit smaller, so we 115 00:06:15,320 --> 00:06:19,119 Speaker 1: kind of hunt corn field, bean field stuff like that. Um, 116 00:06:19,240 --> 00:06:21,599 Speaker 1: there's a couple areas around here that are a little bigger, 117 00:06:22,160 --> 00:06:25,680 Speaker 1: so I'll try to get on, you know, a corns 118 00:06:25,960 --> 00:06:30,320 Speaker 1: or something, uh for simmon, something of that nature. But 119 00:06:30,440 --> 00:06:33,360 Speaker 1: mostly I'd say it's it's gonna be crop fields and 120 00:06:34,080 --> 00:06:35,719 Speaker 1: some of them are starting to come out now, so 121 00:06:35,800 --> 00:06:38,320 Speaker 1: it's working in our favor. How did things change for 122 00:06:38,400 --> 00:06:42,560 Speaker 1: you when those crops start to come out? Oh? Man, Uh, 123 00:06:42,720 --> 00:06:45,760 Speaker 1: it's usually good for about the first week. There's usually 124 00:06:45,800 --> 00:06:49,920 Speaker 1: a lot of deer out on the field. And then, um, 125 00:06:49,960 --> 00:06:51,720 Speaker 1: if you're not a running gun hunter, I mean, if 126 00:06:51,720 --> 00:06:54,880 Speaker 1: you just gotta set up staying on that field. Um. 127 00:06:55,200 --> 00:06:59,039 Speaker 1: Usually she usually just kind of luck or or something 128 00:06:59,080 --> 00:07:00,680 Speaker 1: like that until the it I mean, you got to 129 00:07:00,680 --> 00:07:02,560 Speaker 1: get get back in the woods, I think because they 130 00:07:02,560 --> 00:07:06,400 Speaker 1: started hitting acorns and seven around here. Are you seeing 131 00:07:06,400 --> 00:07:12,160 Speaker 1: any signmaking yet in Indiana? Uh? Not as much as normal. Actually, 132 00:07:12,760 --> 00:07:16,840 Speaker 1: I've seen a few rubs, um, but that's really about it. 133 00:07:16,880 --> 00:07:22,800 Speaker 1: I haven't haven't stumbled on any any scrapes. Um. Yeah, 134 00:07:23,240 --> 00:07:27,000 Speaker 1: it's the crops are coming out a little bit earlier, 135 00:07:27,040 --> 00:07:29,880 Speaker 1: it seems like. But for some reason I'm not seeing 136 00:07:30,560 --> 00:07:32,880 Speaker 1: all the normal sign that I see, which is kind 137 00:07:32,880 --> 00:07:37,240 Speaker 1: of weird. It could be weather related this time of year. 138 00:07:37,280 --> 00:07:42,000 Speaker 1: Are you doing any morning setups? Yeah? Yeah, I actually 139 00:07:42,080 --> 00:07:47,720 Speaker 1: killed killed a doe see two two or three weekends ago. 140 00:07:47,960 --> 00:07:50,760 Speaker 1: It was morning, early early morning, about seven o eight 141 00:07:50,800 --> 00:07:54,880 Speaker 1: in the morning. Um. And that evening there was I 142 00:07:54,960 --> 00:07:58,200 Speaker 1: was actually hunting in a different area, but I had 143 00:07:58,240 --> 00:08:02,720 Speaker 1: on camera out evening. A couple of smaller bucks came through, 144 00:08:03,240 --> 00:08:08,200 Speaker 1: um pretty early. But I said, mature bucks are still 145 00:08:09,040 --> 00:08:11,960 Speaker 1: They're still staying pretty nocturnal for the most part. So 146 00:08:12,040 --> 00:08:13,960 Speaker 1: what does a morning set up look like for you? 147 00:08:14,040 --> 00:08:19,120 Speaker 1: In mid October? A morning setup is usually on some 148 00:08:19,200 --> 00:08:23,480 Speaker 1: toin of food source, pretty far away. Um. Sometimes if 149 00:08:23,480 --> 00:08:26,760 Speaker 1: you can get away from other hunters, umn't really high 150 00:08:26,880 --> 00:08:31,119 Speaker 1: up twenty Usually hunt about twenty ft because it feels 151 00:08:31,120 --> 00:08:34,120 Speaker 1: safer that way. Smell and everything. But yeah, I mean 152 00:08:34,200 --> 00:08:37,720 Speaker 1: I go in quiet. I very rarely will use a light. 153 00:08:38,200 --> 00:08:41,679 Speaker 1: UM use a red light. So yeah, food source and 154 00:08:41,920 --> 00:08:44,080 Speaker 1: sit tight. I try to sit tight as as long 155 00:08:44,120 --> 00:08:46,800 Speaker 1: as I can because those deer can come through ten 156 00:08:46,880 --> 00:08:49,520 Speaker 1: eleven o'clock even going forward. Then, in the next week 157 00:08:49,600 --> 00:08:51,520 Speaker 1: or so, what do you think that bucket activity is 158 00:08:51,559 --> 00:08:53,480 Speaker 1: going to be on a scale of one to ten 159 00:08:53,600 --> 00:08:57,640 Speaker 1: in Indiana. I think it's gonna probably about a seven. Okay, 160 00:08:57,640 --> 00:09:00,240 Speaker 1: So it's really hot right now. It's gonna rain all 161 00:09:00,280 --> 00:09:06,280 Speaker 1: weekend into the middle or beginning Monday Tuesday of next week. Um, 162 00:09:06,640 --> 00:09:08,560 Speaker 1: then the temperature is gonna draw up a little bit, 163 00:09:08,640 --> 00:09:11,040 Speaker 1: not a whole lot. And then as we get into 164 00:09:11,080 --> 00:09:15,240 Speaker 1: like next weekend, um, a cold front is gonna hit. 165 00:09:15,360 --> 00:09:18,640 Speaker 1: And I I know how those cold fronts are. I 166 00:09:18,720 --> 00:09:22,960 Speaker 1: get the deer moving so um by by next weekend, 167 00:09:23,920 --> 00:09:25,840 Speaker 1: you better be in the woods if you if you 168 00:09:26,280 --> 00:09:28,800 Speaker 1: front in Indiana, because they're gonna be on their feet. 169 00:09:28,920 --> 00:09:31,120 Speaker 1: All right, Adam would like your optimism, good luck with 170 00:09:31,160 --> 00:09:33,760 Speaker 1: your haunts, and thanks for joining me. Yeah, thank you 171 00:09:34,520 --> 00:09:36,439 Speaker 1: all right and joining us on the line. Next is 172 00:09:36,520 --> 00:09:40,520 Speaker 1: Kyler Moppert from Louisiana. Bow Hunter in Louisiana, Now Kyler 173 00:09:40,520 --> 00:09:43,000 Speaker 1: in Louisiana, what would you say the buck activity has 174 00:09:43,040 --> 00:09:47,040 Speaker 1: been lately on a scale of one to ten scale 175 00:09:47,160 --> 00:09:49,040 Speaker 1: one to ten, I would put it so far this 176 00:09:49,120 --> 00:09:52,800 Speaker 1: season about an eight uh. And you know, we've had 177 00:09:52,840 --> 00:09:57,640 Speaker 1: a really interesting season so far. We typically don't have 178 00:09:57,760 --> 00:10:00,400 Speaker 1: as cool a weather as we've had. Open Day and 179 00:10:00,480 --> 00:10:04,439 Speaker 1: opening weekend. We're in the high forties, low fifties on 180 00:10:04,480 --> 00:10:08,440 Speaker 1: Thursday and Friday, and um that I think got a 181 00:10:08,440 --> 00:10:10,920 Speaker 1: lot of bucks on their feet. And not only that, 182 00:10:10,960 --> 00:10:14,160 Speaker 1: but the most interesting part was a lot of them 183 00:10:14,160 --> 00:10:16,640 Speaker 1: were in velvet. We're getting a lot of velvet pictures, 184 00:10:16,640 --> 00:10:19,360 Speaker 1: which is really unusual for us. A lot of times 185 00:10:19,480 --> 00:10:22,200 Speaker 1: deer would have lost all their velvet by now. But 186 00:10:22,520 --> 00:10:25,800 Speaker 1: I've probably got fifteen or twenty velvet pictures of not 187 00:10:26,040 --> 00:10:29,320 Speaker 1: very nice bucks that were killed last week. Now, Louisiana 188 00:10:29,360 --> 00:10:32,079 Speaker 1: has one of the stranger white tail herds in the country, 189 00:10:32,120 --> 00:10:35,040 Speaker 1: with biological clocks that are all over the map. So 190 00:10:35,160 --> 00:10:38,720 Speaker 1: can you walk us through what hunters should be expecting 191 00:10:38,800 --> 00:10:42,840 Speaker 1: for rut timing in the state this year. So the 192 00:10:42,880 --> 00:10:46,240 Speaker 1: southwest portion of the state is usually the earliest rut. Um. 193 00:10:46,240 --> 00:10:49,199 Speaker 1: We've got some deer um in an area called Avery 194 00:10:49,240 --> 00:10:51,800 Speaker 1: Island where carasca sauce is made that were rut in 195 00:10:51,960 --> 00:10:56,199 Speaker 1: late July and early August before the season even opened, 196 00:10:56,240 --> 00:10:58,720 Speaker 1: so they were rut end before the season opens on 197 00:10:58,720 --> 00:11:02,200 Speaker 1: September fifteenth. But we've been receiving a few pictures of 198 00:11:02,240 --> 00:11:06,160 Speaker 1: bucks killed um in rut, big swollen necks and and 199 00:11:06,400 --> 00:11:10,120 Speaker 1: um really nice the year from southwest Louisiana. But unfortunately 200 00:11:10,360 --> 00:11:13,840 Speaker 1: Hurricane Laura destroyed a lot of that area and the 201 00:11:13,880 --> 00:11:15,880 Speaker 1: people in that area are just aren't hunting right now, 202 00:11:15,880 --> 00:11:18,440 Speaker 1: and we've got another hurricane coming down the pipe right 203 00:11:18,440 --> 00:11:21,640 Speaker 1: now as we speak. But um uh, you know, for 204 00:11:21,720 --> 00:11:23,680 Speaker 1: the for the rest of the state, not a whole 205 00:11:23,720 --> 00:11:26,040 Speaker 1: lot of rut action. We won't get much until the 206 00:11:26,120 --> 00:11:28,520 Speaker 1: very beginning of November. For the other portions, like the 207 00:11:28,520 --> 00:11:31,400 Speaker 1: northern northeast portions of the state, that that kind of 208 00:11:31,480 --> 00:11:34,199 Speaker 1: kick off what what we refer to as early which 209 00:11:34,440 --> 00:11:38,280 Speaker 1: probably is more in line with the typical Midwest rut 210 00:11:38,520 --> 00:11:41,559 Speaker 1: mid November UM, and then we we run all the 211 00:11:41,600 --> 00:11:43,880 Speaker 1: way up and through until the middle of February in 212 00:11:43,960 --> 00:11:47,240 Speaker 1: some areas, so um We're still very early and a 213 00:11:47,320 --> 00:11:50,440 Speaker 1: lot of those other those other areas you mentioned as 214 00:11:50,440 --> 00:11:53,719 Speaker 1: a hurricane on the way for that area. How does 215 00:11:53,760 --> 00:11:56,840 Speaker 1: the hurricane change things for dear movement in the south 216 00:11:57,480 --> 00:12:00,680 Speaker 1: they move about a hundred and thirty miles. Uh, they're 217 00:12:00,720 --> 00:12:05,480 Speaker 1: in a hurricane. They the Cameron Prairie area, which is 218 00:12:05,480 --> 00:12:09,880 Speaker 1: the southwest portion of the state, just got almost totally flattened. 219 00:12:10,120 --> 00:12:13,920 Speaker 1: Um and uh I've I've been sending pictures of some 220 00:12:14,040 --> 00:12:17,360 Speaker 1: really nice bucks that were killed in in floodwaters and 221 00:12:17,360 --> 00:12:21,680 Speaker 1: and um uh storm surges. Um even seeing pictures of 222 00:12:21,960 --> 00:12:24,800 Speaker 1: trees that that fell down on deer and killed them. 223 00:12:24,840 --> 00:12:28,240 Speaker 1: So uh, like I said, that part of the state 224 00:12:28,440 --> 00:12:31,120 Speaker 1: is going to be hard hit for a while. And 225 00:12:31,120 --> 00:12:34,960 Speaker 1: and I'm very uh, very interested as to why the 226 00:12:35,000 --> 00:12:38,640 Speaker 1: state hasn't closed those three deery areas down yet for 227 00:12:38,720 --> 00:12:41,840 Speaker 1: that reason because in the past, when an area flooded 228 00:12:41,880 --> 00:12:44,520 Speaker 1: really bad, such as Baton Rouge, they'll they'll close it 229 00:12:44,520 --> 00:12:46,880 Speaker 1: down for the season so that nobody is putting any 230 00:12:46,920 --> 00:12:49,920 Speaker 1: excess pressure on the deer. Heard. So I don't think 231 00:12:50,000 --> 00:12:52,040 Speaker 1: many people are gonna be hunting in southwest of Muisiana 232 00:12:52,120 --> 00:12:54,760 Speaker 1: this year unless they live there and go hunt somewhere else. 233 00:12:55,240 --> 00:12:58,240 Speaker 1: One of the most popular food sources for early to 234 00:12:58,360 --> 00:13:01,320 Speaker 1: mid October for most of the eight Most of them 235 00:13:01,360 --> 00:13:03,400 Speaker 1: say it's gonna be acorns. Um. You need to be 236 00:13:03,440 --> 00:13:05,800 Speaker 1: finding your white oak trees that are just now starting 237 00:13:05,840 --> 00:13:09,120 Speaker 1: to drop. Um. Hunt hundreds of oat groves over the 238 00:13:09,160 --> 00:13:12,240 Speaker 1: weekend where there might be twenty five or thirty white 239 00:13:12,240 --> 00:13:15,360 Speaker 1: oaks on it, and there's only two of them dropping. Um. 240 00:13:15,400 --> 00:13:18,040 Speaker 1: I haven't been back since the weekend, so the others 241 00:13:18,120 --> 00:13:20,320 Speaker 1: might have caught up or started dropping by now, But 242 00:13:20,800 --> 00:13:23,200 Speaker 1: right now is going to be focusing on your white oaks, 243 00:13:23,679 --> 00:13:26,559 Speaker 1: um and uh, and trying to set up in between 244 00:13:26,679 --> 00:13:29,640 Speaker 1: the travel routes are the betting areas and the white 245 00:13:29,679 --> 00:13:31,960 Speaker 1: oaks themselves and catch them pass them by. That's gonna 246 00:13:31,960 --> 00:13:35,000 Speaker 1: be your best food source currently. You were successful on 247 00:13:35,160 --> 00:13:38,200 Speaker 1: some recent haunts since openers. Tell me about those setups 248 00:13:38,200 --> 00:13:41,440 Speaker 1: for getting those deer on the ground. Oh man, you 249 00:13:41,440 --> 00:13:43,640 Speaker 1: know how Babe Ruth used to point to left field 250 00:13:43,640 --> 00:13:47,520 Speaker 1: with his bat. I. Uh, that's that's how I feel. 251 00:13:47,720 --> 00:13:51,480 Speaker 1: That's how I fell over the weekend. I I've quite 252 00:13:51,559 --> 00:13:55,120 Speaker 1: literally pointed at three places on a map and said 253 00:13:55,480 --> 00:13:58,440 Speaker 1: this is where it's going to happen, and I killed 254 00:13:58,559 --> 00:14:01,720 Speaker 1: three deer and five hunts in uh in four days. 255 00:14:02,360 --> 00:14:04,920 Speaker 1: UM my camp. The guys in my camp, we killed 256 00:14:05,120 --> 00:14:10,480 Speaker 1: one deer every day, all in public land. UM. Thursday, Friday, Saturday, Sunday, 257 00:14:10,520 --> 00:14:13,400 Speaker 1: I got a call by the w A manager asking 258 00:14:13,440 --> 00:14:16,880 Speaker 1: where we were hunting because out of thirty efforts on 259 00:14:16,920 --> 00:14:18,679 Speaker 1: that w n A, we were the only four people 260 00:14:18,679 --> 00:14:21,080 Speaker 1: to kill the ear. And so you know, I'm feeling 261 00:14:21,080 --> 00:14:24,000 Speaker 1: pretty good about myself right now as far as locating dear. 262 00:14:24,080 --> 00:14:27,120 Speaker 1: But that was all to do with UM. I was 263 00:14:27,240 --> 00:14:34,320 Speaker 1: combining travel routes and transitions, uh and mean and what transitions? Meaning? Um, 264 00:14:34,320 --> 00:14:36,720 Speaker 1: I was crossing a swamp or a body of water, 265 00:14:36,800 --> 00:14:39,080 Speaker 1: so I was blocking off one side and then I 266 00:14:39,080 --> 00:14:42,120 Speaker 1: was hunting the south wind south wind side of an 267 00:14:42,200 --> 00:14:46,520 Speaker 1: oak ridge or oak flat. And um, early season like that, 268 00:14:46,600 --> 00:14:49,360 Speaker 1: when I said, all those trees aren't dropping yet, it's 269 00:14:49,400 --> 00:14:51,360 Speaker 1: really easy to hone in on the one that is. 270 00:14:51,880 --> 00:14:53,560 Speaker 1: And just I mean they come to it like a 271 00:14:53,560 --> 00:14:55,920 Speaker 1: bug to a light. And uh, I mean it was 272 00:14:56,160 --> 00:14:59,000 Speaker 1: the best opener I've ever had. I was feeling very 273 00:14:59,280 --> 00:15:02,080 Speaker 1: confident right out going forward. Then in this next week 274 00:15:02,160 --> 00:15:04,000 Speaker 1: or so, what do you think that buck activity is 275 00:15:04,000 --> 00:15:05,720 Speaker 1: going to be on a scale of one to ten 276 00:15:05,840 --> 00:15:08,680 Speaker 1: in Louisiana. I think it's going to normalize so about 277 00:15:08,680 --> 00:15:12,479 Speaker 1: a six or probably six. Wenna call it a six. Um. 278 00:15:12,520 --> 00:15:16,600 Speaker 1: It's gotten hot, um. The pressure is gonna get real 279 00:15:16,680 --> 00:15:18,880 Speaker 1: high with the storm. Even if you don't get hit 280 00:15:18,920 --> 00:15:20,600 Speaker 1: by the storm, I think it's gonna shut down a 281 00:15:20,600 --> 00:15:23,920 Speaker 1: lot of dear, dear activity just from the heat, um 282 00:15:24,000 --> 00:15:25,520 Speaker 1: and the fact that there's a lot of people in 283 00:15:25,560 --> 00:15:28,760 Speaker 1: the woods this year. From COVID and we talked about 284 00:15:28,800 --> 00:15:32,320 Speaker 1: this um a lot recently, where you've got people that 285 00:15:32,320 --> 00:15:35,000 Speaker 1: are laid off or working from home, and to a 286 00:15:35,080 --> 00:15:36,800 Speaker 1: lot of people working from home is the same thing 287 00:15:36,800 --> 00:15:39,000 Speaker 1: as working from a deer stand and they might be 288 00:15:39,040 --> 00:15:41,440 Speaker 1: over pressuring their areas. So it's something we all need 289 00:15:41,480 --> 00:15:43,600 Speaker 1: to watch out for this year. But I think it's 290 00:15:43,640 --> 00:15:47,040 Speaker 1: gonna go down to a six because because of the 291 00:15:47,080 --> 00:15:51,240 Speaker 1: weather primarily. Alright, Kyler, congrats on your successful opener. Good 292 00:15:51,320 --> 00:15:54,560 Speaker 1: luck on the rest of your haunson. Thanks for joining me, appreciated, Sencer, 293 00:15:54,640 --> 00:15:57,720 Speaker 1: have a good day alright, and joining us on the 294 00:15:57,720 --> 00:16:01,120 Speaker 1: line next is Justin Michelle from New York. Justin in 295 00:16:01,200 --> 00:16:03,520 Speaker 1: New York, what would you say the bucket activities been 296 00:16:03,600 --> 00:16:07,360 Speaker 1: lately on the scale of one to ten, I'd probably 297 00:16:07,400 --> 00:16:12,119 Speaker 1: give it about a five. I think, Um, the activity 298 00:16:12,160 --> 00:16:16,160 Speaker 1: that I've seen has been somewhat standard for that end 299 00:16:16,200 --> 00:16:20,200 Speaker 1: of summer going into fall. Um still food patterns, But 300 00:16:20,840 --> 00:16:23,560 Speaker 1: I did uh have a sit that I that I 301 00:16:23,600 --> 00:16:25,840 Speaker 1: did the other night where there was some sparring. You 302 00:16:25,880 --> 00:16:29,080 Speaker 1: could tell that these bucks are getting just a bit more, 303 00:16:29,320 --> 00:16:32,680 Speaker 1: you know, edgy and um trying to push around a 304 00:16:32,760 --> 00:16:35,080 Speaker 1: little bit. So I think that I think we're on 305 00:16:35,080 --> 00:16:37,680 Speaker 1: our way. We just had New York's opening about a 306 00:16:37,680 --> 00:16:41,800 Speaker 1: week ago. Typically how aggressive are you for those opening haunts? 307 00:16:42,800 --> 00:16:47,560 Speaker 1: Typically I'm not that aggressive. I like to take those 308 00:16:47,600 --> 00:16:51,880 Speaker 1: first few sits and kind of do more observation. But um, 309 00:16:51,920 --> 00:16:56,280 Speaker 1: I had a box that I got on camera once 310 00:16:56,480 --> 00:16:58,480 Speaker 1: and a buck that I have the same buck I 311 00:16:58,560 --> 00:17:02,000 Speaker 1: had seen him mall couple of times from about June 312 00:17:02,120 --> 00:17:06,080 Speaker 1: on and kind of figured it out somewhat of his 313 00:17:06,160 --> 00:17:09,080 Speaker 1: core area. But you know, cameras didn't help me out 314 00:17:09,160 --> 00:17:14,800 Speaker 1: much on that. So, UM, I, with my work schedule 315 00:17:15,040 --> 00:17:18,919 Speaker 1: and the cold front that hit, I thought I was 316 00:17:18,960 --> 00:17:21,480 Speaker 1: just going to take a bit of an educated guest 317 00:17:21,560 --> 00:17:25,680 Speaker 1: and I dove in on him that first night sit 318 00:17:26,200 --> 00:17:29,680 Speaker 1: and um, I saw a thirteen gear that night and 319 00:17:30,240 --> 00:17:33,880 Speaker 1: one of the deer was him. I actually had him 320 00:17:33,920 --> 00:17:37,320 Speaker 1: come by. He has a drop time on his left side, 321 00:17:37,520 --> 00:17:40,639 Speaker 1: so I he was pretty easy to pick out. And 322 00:17:40,720 --> 00:17:43,840 Speaker 1: I had him come by and he was at five yards, 323 00:17:44,080 --> 00:17:47,280 Speaker 1: and uh, it was one of those situations where I 324 00:17:47,440 --> 00:17:50,159 Speaker 1: kind of kind of hoped it wasn't him when I 325 00:17:50,160 --> 00:17:52,680 Speaker 1: saw him, because he looked a bit different. Um when 326 00:17:52,680 --> 00:17:55,119 Speaker 1: I actually got my eyes on him, So I let 327 00:17:55,160 --> 00:17:58,520 Speaker 1: him get about twenty third yards and grunted him back, 328 00:17:59,040 --> 00:18:02,679 Speaker 1: got eyes on him in and UM, I decided I 329 00:18:02,760 --> 00:18:05,719 Speaker 1: was gonna probably let him go another year. So uh, 330 00:18:06,080 --> 00:18:10,200 Speaker 1: I think that between that cold front and the lack 331 00:18:10,280 --> 00:18:13,280 Speaker 1: of pressure that had been in the woods so far, 332 00:18:14,280 --> 00:18:16,919 Speaker 1: I was able to capitalize at least on you know, 333 00:18:17,080 --> 00:18:21,440 Speaker 1: connecting some dots. Even though it didn't turn into anything 334 00:18:21,440 --> 00:18:24,879 Speaker 1: on the ground, the opportunity was there. Are you seeing 335 00:18:24,880 --> 00:18:27,960 Speaker 1: any signmaking yet in New York? As of right now, 336 00:18:28,040 --> 00:18:31,720 Speaker 1: it's still seems a bit dry. Um. You know, from 337 00:18:31,760 --> 00:18:34,199 Speaker 1: from the time that I've been out and even a 338 00:18:34,240 --> 00:18:37,520 Speaker 1: couple of weeks before, you know, I'm not seeing what 339 00:18:37,600 --> 00:18:40,119 Speaker 1: I feel like I typically do and I'm not sure 340 00:18:40,160 --> 00:18:44,399 Speaker 1: if that's you know, temperature related or um, if things 341 00:18:44,440 --> 00:18:48,560 Speaker 1: just aren't heating up yet. But yeah, I'm not I 342 00:18:48,600 --> 00:18:51,159 Speaker 1: feel like by now I'm typically seeing more scrapes and 343 00:18:51,240 --> 00:18:54,600 Speaker 1: rubs pop up, but as of now, it's you know, 344 00:18:54,760 --> 00:18:58,800 Speaker 1: still seems maybe a little bit early. What food sources 345 00:18:58,840 --> 00:19:01,600 Speaker 1: are you focused on in early to mid October in 346 00:19:01,640 --> 00:19:05,600 Speaker 1: that part of the country, Well, that depends on, um, 347 00:19:05,720 --> 00:19:10,280 Speaker 1: what's actually going on. I mean, I I've actually seen uh, 348 00:19:10,320 --> 00:19:14,200 Speaker 1: you know, I've noticed that in a well, mainly green sources. 349 00:19:14,240 --> 00:19:16,720 Speaker 1: But as I say that, you know, if if they 350 00:19:16,720 --> 00:19:20,000 Speaker 1: come through and they do a cut on the alfalfa, uh, 351 00:19:20,119 --> 00:19:22,040 Speaker 1: there seems to be a bit of a switch over 352 00:19:22,600 --> 00:19:26,320 Speaker 1: to that because of that fresh growth. So they're still 353 00:19:26,520 --> 00:19:30,359 Speaker 1: at this point from what I'm seeing hitting the greens. Again, 354 00:19:30,400 --> 00:19:33,919 Speaker 1: it's a little bit early. Um, but all of the 355 00:19:34,000 --> 00:19:37,080 Speaker 1: deer that I've seen, I've got winter wheat that um 356 00:19:37,160 --> 00:19:40,040 Speaker 1: that I've seen pop up and they're hitting that. It's 357 00:19:40,119 --> 00:19:43,840 Speaker 1: really right now. I would say it's all that new 358 00:19:43,880 --> 00:19:46,920 Speaker 1: fresh growth. So whether it be something that was planted 359 00:19:47,000 --> 00:19:51,600 Speaker 1: late that's just popping or um. Yeah, same with the 360 00:19:52,040 --> 00:19:54,840 Speaker 1: with the alfalfa, And I have a small plot in 361 00:19:54,960 --> 00:19:58,119 Speaker 1: and have seen the same thing a significant amount of 362 00:19:58,160 --> 00:20:01,960 Speaker 1: deer and does and fawns um in that green source. 363 00:20:02,440 --> 00:20:05,560 Speaker 1: Uh that I'm getting on camera now, if you're doing 364 00:20:05,560 --> 00:20:08,080 Speaker 1: a morning set up over these next couple of weeks, 365 00:20:08,560 --> 00:20:13,399 Speaker 1: what do those situations look like? Well, I typically don't 366 00:20:13,440 --> 00:20:17,520 Speaker 1: like to do mornings this early, but again with work, 367 00:20:18,119 --> 00:20:20,400 Speaker 1: with my work schedule, I've had to get a little 368 00:20:20,400 --> 00:20:24,000 Speaker 1: bit more creative. So um, right now, you know, I 369 00:20:24,520 --> 00:20:27,879 Speaker 1: have a couple of spots in mind. Um. I have 370 00:20:28,040 --> 00:20:32,040 Speaker 1: done one so far and it was a bit you know, 371 00:20:32,080 --> 00:20:35,040 Speaker 1: I noticed transition back from food to bed, which is 372 00:20:35,520 --> 00:20:39,160 Speaker 1: you know, pretty typical for for this early time of year. 373 00:20:39,200 --> 00:20:42,919 Speaker 1: But I do have a spot that I've kind of 374 00:20:42,960 --> 00:20:46,800 Speaker 1: been keeping an eye on that I'm really pumped to 375 00:20:46,840 --> 00:20:49,159 Speaker 1: get in. Uh when when I get a little bit 376 00:20:49,160 --> 00:20:53,359 Speaker 1: of a switch and weather here where it's a corn 377 00:20:54,240 --> 00:20:58,119 Speaker 1: field that got put in fairly late, and it's uh 378 00:20:58,880 --> 00:21:01,199 Speaker 1: and and it has a couple of little fingers of 379 00:21:01,520 --> 00:21:03,840 Speaker 1: timber that come right out into the corn field that 380 00:21:04,040 --> 00:21:06,920 Speaker 1: has oaks on it. So and I know that those 381 00:21:06,920 --> 00:21:10,879 Speaker 1: oaks typically produce a good amount of acorn. So I 382 00:21:11,640 --> 00:21:15,600 Speaker 1: when I my next sit I think will be Uh, 383 00:21:15,680 --> 00:21:19,920 Speaker 1: in that spot. So I'll either get them coming in 384 00:21:20,520 --> 00:21:23,200 Speaker 1: coming in from the corn headed back to bed if 385 00:21:23,200 --> 00:21:26,440 Speaker 1: they're not betting in the corn for those acorns, or 386 00:21:26,720 --> 00:21:29,280 Speaker 1: I just think there's gonna be great movement in that 387 00:21:29,359 --> 00:21:33,720 Speaker 1: area because of the the amount of food there going forward. 388 00:21:33,760 --> 00:21:35,359 Speaker 1: Then in the next week or so, what do you 389 00:21:35,359 --> 00:21:37,320 Speaker 1: think that bucket TV is going to be on a 390 00:21:37,359 --> 00:21:40,760 Speaker 1: scale of one to ten in New York? Well, naturally, 391 00:21:40,840 --> 00:21:44,840 Speaker 1: I would say it's probably gonna at least move move 392 00:21:44,920 --> 00:21:47,240 Speaker 1: up on the scale. So, like I said, it was 393 00:21:47,320 --> 00:21:51,119 Speaker 1: probably a five. I think we'll start to squeak up 394 00:21:51,119 --> 00:21:53,400 Speaker 1: a bit, maybe six. I don't know if we'll get 395 00:21:53,440 --> 00:21:57,360 Speaker 1: to a seven. But you know, I've been away from 396 00:21:57,400 --> 00:21:59,920 Speaker 1: home for a few days, so you know it does 397 00:22:00,000 --> 00:22:03,160 Speaker 1: and take long for that signed to start to pop up. 398 00:22:03,359 --> 00:22:06,280 Speaker 1: And uh, I would say, I would say we're going 399 00:22:06,320 --> 00:22:08,880 Speaker 1: to start, you know, moving in the right direction here, 400 00:22:09,560 --> 00:22:11,159 Speaker 1: all right, justin a good luck of those haunts we 401 00:22:11,200 --> 00:22:13,000 Speaker 1: can get back in the woods. Thanks for joining me, 402 00:22:13,440 --> 00:22:16,560 Speaker 1: Thanks Spencer all right in joining us on the line. 403 00:22:16,600 --> 00:22:20,399 Speaker 1: Next is Clifford Martin from Sticking Pick in Iowa. Now, 404 00:22:20,440 --> 00:22:23,040 Speaker 1: Clifford in Iowa, what would you say the buck activities 405 00:22:23,080 --> 00:22:27,000 Speaker 1: been lately on a scale of one to ten, I 406 00:22:27,119 --> 00:22:29,800 Speaker 1: would say it's probably been uh. In the last week, 407 00:22:29,840 --> 00:22:34,200 Speaker 1: it's probably been uh eight to nine. It's been very 408 00:22:34,320 --> 00:22:39,320 Speaker 1: very good for early season and obviously, um, we've had 409 00:22:39,400 --> 00:22:44,840 Speaker 1: a good front come through, high pressure, cooler temperatures and 410 00:22:45,000 --> 00:22:48,680 Speaker 1: normal for the first of the seasons and uh it's 411 00:22:48,800 --> 00:22:51,000 Speaker 1: uh been about as good as it gets for the 412 00:22:51,040 --> 00:22:53,720 Speaker 1: first of the season. Now you and your family have 413 00:22:53,800 --> 00:22:56,760 Speaker 1: put down some awesome bucks lately in Iowa. Tell me 414 00:22:56,800 --> 00:23:02,160 Speaker 1: about the setups for those successful haunts. Yeah. Absolutely, Um. 415 00:23:02,280 --> 00:23:05,359 Speaker 1: For the my two boys, obviously, they get to hunt 416 00:23:05,400 --> 00:23:09,520 Speaker 1: in youth season uh in Iowa, so that starts mid 417 00:23:09,560 --> 00:23:14,359 Speaker 1: September and runs to the first of October, and that 418 00:23:14,520 --> 00:23:16,320 Speaker 1: can be kind of a tricky time of the year 419 00:23:16,359 --> 00:23:19,960 Speaker 1: to hunt. But the first year, um, my oldest son 420 00:23:20,119 --> 00:23:24,920 Speaker 1: killed was on uh standing beans that were still pretty green, 421 00:23:25,640 --> 00:23:27,399 Speaker 1: which is can be pretty good at that time of 422 00:23:27,400 --> 00:23:30,199 Speaker 1: the year if they're not too yellow. And so we 423 00:23:30,200 --> 00:23:34,120 Speaker 1: were able to capitalize on a great deer on day 424 00:23:34,200 --> 00:23:38,879 Speaker 1: one of youth season, obviously to the green soybeans. And 425 00:23:38,920 --> 00:23:43,240 Speaker 1: then um um about a week ago my youngest son 426 00:23:43,359 --> 00:23:46,480 Speaker 1: killed his on we focused in on more of a 427 00:23:46,560 --> 00:23:50,720 Speaker 1: green turn up plot classic a plot. UM. The beans 428 00:23:50,720 --> 00:23:55,120 Speaker 1: were getting pretty yellow, so anything green was basically um 429 00:23:55,160 --> 00:23:58,639 Speaker 1: starting to really turn on for white tails. So we 430 00:23:58,720 --> 00:24:02,879 Speaker 1: really started focusing on and more something green, greener, and 431 00:24:03,119 --> 00:24:05,159 Speaker 1: that's where we found the deer. And yeah, we were 432 00:24:05,200 --> 00:24:08,040 Speaker 1: able to knock down some great deer on the youth season. 433 00:24:08,040 --> 00:24:11,680 Speaker 1: And then for me, first of October, I was lucky 434 00:24:11,760 --> 00:24:14,119 Speaker 1: enough to harvest the one of my target bucks and 435 00:24:14,280 --> 00:24:17,919 Speaker 1: I focused on green clover plot. So first of the 436 00:24:18,000 --> 00:24:21,680 Speaker 1: season there, right around the first of October, if everything's 437 00:24:21,720 --> 00:24:25,119 Speaker 1: dried down, it's definitely focused to focus on anything green. 438 00:24:26,040 --> 00:24:29,119 Speaker 1: That's where we normally do our best the first of 439 00:24:29,160 --> 00:24:31,760 Speaker 1: the year or the first of the season. I'm sorry, now, 440 00:24:31,760 --> 00:24:34,480 Speaker 1: how deep into fall are you focused on the green 441 00:24:34,600 --> 00:24:37,720 Speaker 1: food sources? From here forward, all the way to the rut, 442 00:24:37,760 --> 00:24:41,880 Speaker 1: I really focus on green um. And you know, then 443 00:24:42,200 --> 00:24:44,280 Speaker 1: you know your rut comes in food is not quite 444 00:24:44,280 --> 00:24:49,240 Speaker 1: as important. And then obviously after uh you know, third 445 00:24:49,240 --> 00:24:52,240 Speaker 1: week of November, then it's back on green and then 446 00:24:52,280 --> 00:24:56,040 Speaker 1: from there it's you know, um, later into December, you 447 00:24:56,080 --> 00:24:59,400 Speaker 1: know your grains will be better or do better UM. 448 00:24:59,480 --> 00:25:02,600 Speaker 1: Obviously if you have standing beans or corn um that's 449 00:25:02,600 --> 00:25:05,400 Speaker 1: what we look into all the way into December. Are 450 00:25:05,440 --> 00:25:08,760 Speaker 1: you seeing any signmaking yet in Iowa? Yea, it is 451 00:25:08,800 --> 00:25:13,639 Speaker 1: definitely picking up obviously, you know with the rising moon pressure. Um, 452 00:25:13,680 --> 00:25:16,960 Speaker 1: you know, the sign has been just you know, just exploding. 453 00:25:17,880 --> 00:25:20,000 Speaker 1: We do have a warm snap right now, so I 454 00:25:20,040 --> 00:25:21,880 Speaker 1: think that will probably slow it up a little bit. 455 00:25:21,960 --> 00:25:23,679 Speaker 1: But you know, give it a week or two and 456 00:25:24,359 --> 00:25:26,239 Speaker 1: it should be rolling. But as far as for this 457 00:25:26,280 --> 00:25:29,040 Speaker 1: time of the year, it's definitely really exploded. Do you 458 00:25:29,040 --> 00:25:31,400 Speaker 1: have any tricks for killing a mature buck over these 459 00:25:31,440 --> 00:25:33,920 Speaker 1: next couple of weeks when a lot of them go nocturnal. 460 00:25:34,359 --> 00:25:36,400 Speaker 1: That's a good question, and I don't know if there's 461 00:25:36,440 --> 00:25:40,479 Speaker 1: a record right answer for me. Um, it is definitely 462 00:25:40,520 --> 00:25:44,080 Speaker 1: a tougher time of the year. Um, probably, you know, 463 00:25:44,960 --> 00:25:47,879 Speaker 1: I think they're just not walking around as much in 464 00:25:47,920 --> 00:25:50,840 Speaker 1: the daylight. For me, I try to get real close, 465 00:25:50,960 --> 00:25:53,360 Speaker 1: and obviously I have the luxury of doing a lot 466 00:25:53,359 --> 00:25:54,920 Speaker 1: of pots here in Iowa. I try to get real 467 00:25:54,960 --> 00:25:57,760 Speaker 1: close to their bedding this time of the year. They 468 00:25:58,000 --> 00:26:01,160 Speaker 1: they're usually moving late, so the closer you can get 469 00:26:01,160 --> 00:26:02,960 Speaker 1: to their bedding this time of the year, or any 470 00:26:03,000 --> 00:26:05,520 Speaker 1: food source that's real close they're betting that's probably you know, 471 00:26:05,640 --> 00:26:09,159 Speaker 1: last minute when they wander out of their bedroom is 472 00:26:09,200 --> 00:26:12,560 Speaker 1: probably the the biggest thing for me is trying to 473 00:26:12,560 --> 00:26:14,560 Speaker 1: get as close to them as you can that time 474 00:26:14,600 --> 00:26:17,159 Speaker 1: of the year. Do you notice the shift in bedding 475 00:26:17,160 --> 00:26:20,440 Speaker 1: it all in the month of October? Um? Not really No, 476 00:26:20,800 --> 00:26:24,879 Speaker 1: I mean, um, there's definitely here in Iowa, we you know, 477 00:26:24,960 --> 00:26:27,679 Speaker 1: the harvest is in full blast right now, so that 478 00:26:27,920 --> 00:26:31,120 Speaker 1: usually changes a lot of things. You'll have some new 479 00:26:31,160 --> 00:26:35,679 Speaker 1: bucks show up. Bucks you know definitely are moving around 480 00:26:35,720 --> 00:26:38,159 Speaker 1: a little bit as far as adjusting their bedding areas 481 00:26:38,160 --> 00:26:40,399 Speaker 1: and so on. So and I think a lot of 482 00:26:40,440 --> 00:26:42,800 Speaker 1: that here in Iowa anyway, where we don't have just 483 00:26:42,920 --> 00:26:45,560 Speaker 1: a southern Iowa, we don't have just a ton of timber. 484 00:26:45,880 --> 00:26:47,920 Speaker 1: Some areas we do, but where I hunt, I don't 485 00:26:47,960 --> 00:26:51,960 Speaker 1: have as much timber. So um, I say, the harvest 486 00:26:52,600 --> 00:26:54,480 Speaker 1: bumps a lot of pushes, a lot of deer that 487 00:26:54,560 --> 00:26:58,320 Speaker 1: we're living in the crops and uh are now transitioning 488 00:26:58,320 --> 00:27:02,080 Speaker 1: to you know, where there's more cover as they get 489 00:27:02,080 --> 00:27:04,320 Speaker 1: pushed out of the corn fields and so on, as 490 00:27:04,359 --> 00:27:07,359 Speaker 1: the harvest going forward. Then in this next week or so, 491 00:27:07,560 --> 00:27:09,199 Speaker 1: what do you think that Bucke activity is going to 492 00:27:09,240 --> 00:27:11,200 Speaker 1: be on a scale of one to ten in Iowa. 493 00:27:11,760 --> 00:27:16,560 Speaker 1: I would say it's probably gonna be uh five. Just 494 00:27:16,960 --> 00:27:19,320 Speaker 1: it's not gonna be very hot here in the next 495 00:27:19,320 --> 00:27:21,960 Speaker 1: week or two. Alright, Clifford, congrats on the awesome dear 496 00:27:22,119 --> 00:27:26,320 Speaker 1: thanks for joining me. Thank you appreciate it. And that 497 00:27:26,440 --> 00:27:30,159 Speaker 1: concludes this week's episode of rout Fresh Radio. Thanks to 498 00:27:30,240 --> 00:27:33,640 Speaker 1: Adam Kyler, Justin and Clifford for joining me, and thank 499 00:27:33,680 --> 00:27:36,560 Speaker 1: you guys for listening. As always, make sure you're following 500 00:27:36,600 --> 00:27:40,080 Speaker 1: at Wired to Hunt on Facebook and Instagram and following 501 00:27:40,160 --> 00:27:43,280 Speaker 1: at Spencer new Hearth on Instagram. Also, I hope you're 502 00:27:43,320 --> 00:27:46,440 Speaker 1: subscribed to the White Tail Weekly newsletter. It goes out 503 00:27:46,480 --> 00:27:49,359 Speaker 1: on every single Monday, where you're gonna see tons of 504 00:27:49,400 --> 00:27:53,960 Speaker 1: content from folks like me, Mark, Tony Peterson, Daniel Pruett, 505 00:27:54,320 --> 00:27:58,040 Speaker 1: Pat Durkin, and more. I'm stoked that it's October. I 506 00:27:58,080 --> 00:28:00,000 Speaker 1: hope you guys are getting in the woods this week 507 00:28:00,000 --> 00:28:04,520 Speaker 1: again and beating the October law, improving me and Mark 508 00:28:04,800 --> 00:28:06,760 Speaker 1: and all of the Hunters that we talked to on 509 00:28:06,800 --> 00:28:09,840 Speaker 1: this episode wrong by filling a tag. I will talk 510 00:28:09,880 --> 00:28:12,919 Speaker 1: to you guys next week, but until then, stay wired 511 00:28:12,920 --> 00:28:13,240 Speaker 1: to hot