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 --> 00:00:16,080 Speaker 1: your host, Spencer new Hearth. This is Wired to hunts 4 00:00:16,160 --> 00:00:19,000 Speaker 1: Rout Fresh Radio, powered by First Light, and this week 5 00:00:19,120 --> 00:00:38,360 Speaker 1: we're talking about creating some December optimism. Welcome to Wired 6 00:00:38,400 --> 00:00:42,280 Speaker 1: to Hunt's Rout Fresh Radio. This is episode four three, 7 00:00:42,840 --> 00:00:47,080 Speaker 1: and this week back again with us is Mark Kenyon. Now, Mark, 8 00:00:47,800 --> 00:00:51,279 Speaker 1: you've been giving us some deer reports from across the 9 00:00:51,320 --> 00:00:54,480 Speaker 1: country so far this year, but I don't think we've 10 00:00:54,520 --> 00:00:57,520 Speaker 1: gotten one from you this far south. So tell us 11 00:00:57,560 --> 00:01:01,080 Speaker 1: where you were and what you were seeing in the field. Yeah, buddy, 12 00:01:01,080 --> 00:01:04,240 Speaker 1: I was in the Great State of Alabama, which, yeah, 13 00:01:04,240 --> 00:01:08,080 Speaker 1: I'm pretty sure that's the farthest south Man. That might 14 00:01:08,120 --> 00:01:11,720 Speaker 1: be the farthest south I've ever hunted. Um, so it's 15 00:01:11,720 --> 00:01:14,479 Speaker 1: pretty cool. Was an Alabama last week, got back over 16 00:01:14,520 --> 00:01:18,880 Speaker 1: the weekend. Uh saw you know in that part of Alabama. 17 00:01:18,920 --> 00:01:20,280 Speaker 1: Alabama and a lot of the South is kind of 18 00:01:20,280 --> 00:01:23,960 Speaker 1: funky with a rut being different times in different places. 19 00:01:24,000 --> 00:01:27,199 Speaker 1: But where I was at it was just about peak rut. 20 00:01:27,520 --> 00:01:32,520 Speaker 1: I mean we were seeing. I was seeing bucks cruising 21 00:01:32,680 --> 00:01:34,479 Speaker 1: is what I was seeing. I saw a good number 22 00:01:34,520 --> 00:01:38,560 Speaker 1: of bucks cruising. Um. Definitely on the search there was 23 00:01:38,600 --> 00:01:41,039 Speaker 1: a good amount of sign a lot of rubs and scrapes, 24 00:01:41,160 --> 00:01:42,959 Speaker 1: so the kind of stuff that I would you know, 25 00:01:42,959 --> 00:01:45,800 Speaker 1: be expecting to see in late October or early in November. 26 00:01:46,160 --> 00:01:51,320 Speaker 1: But I was seeing, you know, the ninth, ninth, tenth 27 00:01:51,320 --> 00:01:53,760 Speaker 1: of December, so that was cool. Um. I didn't see 28 00:01:53,760 --> 00:01:56,559 Speaker 1: any chasing, but one of the other guys in camp 29 00:01:57,200 --> 00:02:00,880 Speaker 1: he did see some chasing. So chasing, seeing cruising, all 30 00:02:00,880 --> 00:02:03,160 Speaker 1: that kind of ruddy stuff is happening in Alabama right now, 31 00:02:03,160 --> 00:02:06,160 Speaker 1: so that was cool. Um. And then I also hunted 32 00:02:06,160 --> 00:02:09,000 Speaker 1: twice in Michigan when I got home from Alabama. So 33 00:02:09,040 --> 00:02:11,840 Speaker 1: this is just a couple of days ago. And in Michigan, 34 00:02:11,880 --> 00:02:14,760 Speaker 1: you know, it's definitely late season, so these deer are 35 00:02:14,800 --> 00:02:17,600 Speaker 1: all on corn, hitting corn really heavy right now, you know, 36 00:02:18,000 --> 00:02:21,200 Speaker 1: cut corn, waste grain on the ground. Um, have seen 37 00:02:21,280 --> 00:02:23,960 Speaker 1: some bucks still sparking. I've got trail camera pictures of 38 00:02:24,000 --> 00:02:26,639 Speaker 1: one of my target bucks, basically my only target buck 39 00:02:26,680 --> 00:02:29,040 Speaker 1: this left in Michigan. Now he was fighting with another 40 00:02:29,040 --> 00:02:32,400 Speaker 1: buck just tow three nights ago. Um, so there's still 41 00:02:32,440 --> 00:02:34,919 Speaker 1: that kind of fun happening out there in the woods. 42 00:02:34,960 --> 00:02:37,200 Speaker 1: But mostly here in Michigan, and I'm thinking most of 43 00:02:37,200 --> 00:02:41,520 Speaker 1: the Midwest, it's back to a food situation. These deer 44 00:02:41,639 --> 00:02:44,360 Speaker 1: trying to stay alive. They're better back in sanctuaries, away 45 00:02:44,360 --> 00:02:47,040 Speaker 1: from people, and they're getting on the best high energy 46 00:02:47,080 --> 00:02:50,880 Speaker 1: food source. So that's what I've seen. UM, A decent 47 00:02:50,919 --> 00:02:52,760 Speaker 1: amount of deer movement in Michigan. I'd give it like 48 00:02:52,800 --> 00:02:56,280 Speaker 1: a six and a half to six and a half probably, UM. 49 00:02:56,360 --> 00:03:00,280 Speaker 1: While in Alabama, you know, the baselines different, but from 50 00:03:00,280 --> 00:03:02,040 Speaker 1: what I was gathering from Parker, the guy I was 51 00:03:02,080 --> 00:03:04,920 Speaker 1: down there with, you know, it was pretty good for Alabama. 52 00:03:04,960 --> 00:03:07,079 Speaker 1: So maybe like a maybe like a seven or eight 53 00:03:07,120 --> 00:03:09,919 Speaker 1: by Alabama standards. Yeah, it's funny you say that this 54 00:03:10,080 --> 00:03:13,720 Speaker 1: was your most Southern report ever, um, and that you 55 00:03:13,840 --> 00:03:18,280 Speaker 1: acknowledge that the South kind of has a funky rut. 56 00:03:18,360 --> 00:03:20,200 Speaker 1: Even within the same state, you can have you know, 57 00:03:20,280 --> 00:03:23,880 Speaker 1: three to four different rut phases happening in a state 58 00:03:23,880 --> 00:03:27,280 Speaker 1: like Louisiana, Alabama, Texas. UM. But I just did my 59 00:03:27,760 --> 00:03:30,840 Speaker 1: uh now I'm gonna give you my most Southern rut 60 00:03:30,880 --> 00:03:33,600 Speaker 1: report ever as well. I was in Texas for the 61 00:03:33,680 --> 00:03:36,760 Speaker 1: last week, UM hunting a property. I got permission on 62 00:03:36,800 --> 00:03:40,760 Speaker 1: by writing some letters, and I killed a buck on 63 00:03:40,840 --> 00:03:43,880 Speaker 1: the last day of the hunt. But everything up until 64 00:03:43,920 --> 00:03:47,880 Speaker 1: that point, including that hunt, UM was very crepuscular. And 65 00:03:47,920 --> 00:03:50,880 Speaker 1: that part of Texas they have a rut that is 66 00:03:50,920 --> 00:03:53,640 Speaker 1: similar to what you'd experienced in the Midwest. So we 67 00:03:53,640 --> 00:03:57,120 Speaker 1: were well beyond peak rut there. UM maybe saw a 68 00:03:57,160 --> 00:04:01,480 Speaker 1: little bit of secondary rut action happened, but everything was 69 00:04:01,520 --> 00:04:04,119 Speaker 1: pretty well bed to food, bed to food. And then 70 00:04:04,160 --> 00:04:06,000 Speaker 1: because it was so hot when I was down there, 71 00:04:06,000 --> 00:04:08,480 Speaker 1: And this is something that I think can even apply 72 00:04:08,760 --> 00:04:12,000 Speaker 1: to hunters, like in the opposite part of the country, 73 00:04:12,000 --> 00:04:14,680 Speaker 1: as far north as you can get in the United States, UM, 74 00:04:14,720 --> 00:04:17,440 Speaker 1: where water became a factor. And it was a factor 75 00:04:17,480 --> 00:04:20,040 Speaker 1: for me because it was like a d two degrees 76 00:04:20,320 --> 00:04:21,840 Speaker 1: for a high down there. But I think it can 77 00:04:21,839 --> 00:04:24,960 Speaker 1: be a factor in a place like northern Minnesota, UM, 78 00:04:25,040 --> 00:04:27,280 Speaker 1: when you have ice developing on some of these like 79 00:04:27,360 --> 00:04:30,960 Speaker 1: stagnant bodies of water. UM, then all of a sudden, 80 00:04:31,000 --> 00:04:33,440 Speaker 1: like one of the things that a white tail absolutely 81 00:04:33,480 --> 00:04:37,200 Speaker 1: needs is water, and it becomes a limiting factor. So 82 00:04:37,240 --> 00:04:40,160 Speaker 1: I think water setups in mid December can be an 83 00:04:40,240 --> 00:04:43,760 Speaker 1: underrated part of any white tail setup. So what was 84 00:04:43,960 --> 00:04:45,560 Speaker 1: can you give me more detail on the south that 85 00:04:45,680 --> 00:04:49,320 Speaker 1: ultimately led to that kill. Um Man, it was just 86 00:04:49,440 --> 00:04:52,359 Speaker 1: bouncing around a lot. The deer was coming into a 87 00:04:52,560 --> 00:04:58,120 Speaker 1: green food source. The property had some perennial food plots 88 00:04:58,160 --> 00:05:01,719 Speaker 1: that were largely weeds at this point, and uh hadn't 89 00:05:01,760 --> 00:05:05,840 Speaker 1: been manicured or or touched in years probably so they 90 00:05:05,880 --> 00:05:07,360 Speaker 1: just kind of kept going on their own. But for 91 00:05:07,400 --> 00:05:10,120 Speaker 1: the most part, where I was seeing the best movement 92 00:05:10,120 --> 00:05:12,360 Speaker 1: and where I ended up killing this buck was just 93 00:05:12,440 --> 00:05:16,240 Speaker 1: on a very green food source. Um which I think 94 00:05:16,279 --> 00:05:19,200 Speaker 1: again can be relevant regardless of what part of the country. 95 00:05:19,279 --> 00:05:22,320 Speaker 1: Yere and green food sources can really attract deer this 96 00:05:22,360 --> 00:05:24,760 Speaker 1: time of year, especially in big numbers. Yeah, you know, 97 00:05:24,839 --> 00:05:27,159 Speaker 1: one thing I've seen and this isn't a rule, this 98 00:05:27,160 --> 00:05:29,800 Speaker 1: this is hit or miss, But if I had to 99 00:05:29,839 --> 00:05:31,640 Speaker 1: point to some kind of tendency when it came to 100 00:05:31,680 --> 00:05:34,240 Speaker 1: those food sources, at least in Michigan, and I think 101 00:05:34,240 --> 00:05:36,440 Speaker 1: a lot of the upper grade lakes, when it's like 102 00:05:36,720 --> 00:05:40,400 Speaker 1: gnarrowly cold, like very very very frigid cold and snowy, 103 00:05:40,520 --> 00:05:43,400 Speaker 1: the deer tend to hit the you know, cut corn 104 00:05:43,440 --> 00:05:45,960 Speaker 1: field cut bean fields are on those grains when it's 105 00:05:46,000 --> 00:05:48,520 Speaker 1: a little bit warmer in December, when it gets into 106 00:05:48,640 --> 00:05:51,360 Speaker 1: those slightly more mild days, they really seem to turn 107 00:05:51,400 --> 00:05:53,880 Speaker 1: to the to the grain. So for me, like on 108 00:05:53,880 --> 00:05:55,919 Speaker 1: one of these properties, I've got an old clover plot, 109 00:05:56,320 --> 00:05:59,160 Speaker 1: I've got some some grains and clovers in another green plot, 110 00:05:59,320 --> 00:06:00,920 Speaker 1: and they tend to it those a little bit more 111 00:06:00,960 --> 00:06:05,120 Speaker 1: when you've got those unseasonably slightly warmer temperatures. So that's 112 00:06:05,160 --> 00:06:06,600 Speaker 1: a little something that I'll key and I'm what I'm 113 00:06:06,600 --> 00:06:08,159 Speaker 1: trying to choose where it hunt. If I don't have 114 00:06:08,200 --> 00:06:11,839 Speaker 1: any other clue pointing in one direction or another, that 115 00:06:11,960 --> 00:06:14,360 Speaker 1: temperature will kind of point me in where I want 116 00:06:14,400 --> 00:06:16,120 Speaker 1: to focus where I think there might be just a 117 00:06:16,200 --> 00:06:19,280 Speaker 1: little bit more activity, um on days like that. So 118 00:06:20,320 --> 00:06:22,279 Speaker 1: I don't know, that's one thing I've seen. Yeah, no, 119 00:06:22,480 --> 00:06:25,040 Speaker 1: no shockers that for a lot of the white tail 120 00:06:25,160 --> 00:06:28,440 Speaker 1: range right now, they are thinking with their stomachs and 121 00:06:28,480 --> 00:06:30,280 Speaker 1: so that's that's a theme that you hear in our 122 00:06:30,320 --> 00:06:33,719 Speaker 1: conversations this week, um, whether it be some natural browns 123 00:06:34,200 --> 00:06:37,320 Speaker 1: or it be a food plot in an area that 124 00:06:37,400 --> 00:06:40,000 Speaker 1: otherwise is sort of a food desert. And here we 125 00:06:40,080 --> 00:06:42,440 Speaker 1: talked to you is Garrett Hike is from Chasing the 126 00:06:42,520 --> 00:06:45,919 Speaker 1: Dream TV in Nebraska, Josh Ganty from Cut four Outdoors 127 00:06:45,920 --> 00:06:49,359 Speaker 1: in North Carolina, Luke Thorkelson in Texas from weatherb and 128 00:06:49,440 --> 00:06:53,320 Speaker 1: Kevin Vistison from the Deer Hunter podcast in Michigan. I 129 00:06:53,400 --> 00:06:55,640 Speaker 1: like it, so let me ask you one last thing 130 00:06:55,640 --> 00:07:00,080 Speaker 1: before we wrap the subspenser in general, how do you 131 00:07:00,120 --> 00:07:04,599 Speaker 1: our guests feel about this coming week? Because I bring 132 00:07:04,640 --> 00:07:06,159 Speaker 1: that up. I asked that because there's a lot of 133 00:07:06,160 --> 00:07:09,520 Speaker 1: people probably listening now that kind of feel like there's 134 00:07:09,520 --> 00:07:12,320 Speaker 1: this ad it's done. You know, the best is behind me? 135 00:07:13,400 --> 00:07:15,560 Speaker 1: Is that where everyone's at? Is that where you're at? 136 00:07:15,600 --> 00:07:16,840 Speaker 1: Is that where the people we talked to are at? 137 00:07:16,960 --> 00:07:18,880 Speaker 1: Or is there hope? Is there hope still? Is there 138 00:07:18,920 --> 00:07:21,040 Speaker 1: reason to be excited to still get in the woods. 139 00:07:22,200 --> 00:07:27,440 Speaker 1: When it comes to you UM running activity, you'll hear 140 00:07:27,760 --> 00:07:30,320 Speaker 1: some pessimism, or maybe not pessimism, but what you would 141 00:07:30,360 --> 00:07:34,000 Speaker 1: expect from mid December. You may catch some spikes from 142 00:07:34,040 --> 00:07:38,120 Speaker 1: secondary running UM, but for the most part, evening haunts 143 00:07:38,120 --> 00:07:41,600 Speaker 1: are superior and uh bucks have down moved their bedding 144 00:07:41,720 --> 00:07:45,320 Speaker 1: to be closer to food sources. That kind of thing. UM. 145 00:07:45,360 --> 00:07:47,800 Speaker 1: But where you do hear some optimism, what gets some 146 00:07:47,880 --> 00:07:49,880 Speaker 1: of the people that we talked to this week excited 147 00:07:50,440 --> 00:07:54,160 Speaker 1: is that it looks like for the Midwest and the 148 00:07:54,200 --> 00:07:57,440 Speaker 1: east coast in the West, that there is some approaching 149 00:07:57,520 --> 00:08:01,240 Speaker 1: cold weather and storms umming up that may take us, 150 00:08:01,240 --> 00:08:03,800 Speaker 1: you know, all the way into Christmas. And so if 151 00:08:04,040 --> 00:08:07,600 Speaker 1: if people um have very obvious food sources that they 152 00:08:07,640 --> 00:08:09,280 Speaker 1: want to be hunting this time of year. I think 153 00:08:09,600 --> 00:08:11,200 Speaker 1: for right now a lot of the white tail range, 154 00:08:11,240 --> 00:08:13,960 Speaker 1: it's been very mild weather lately. So if we can 155 00:08:14,000 --> 00:08:18,239 Speaker 1: get a few inches of snow or some days where 156 00:08:18,360 --> 00:08:22,560 Speaker 1: you have consecutive highs that are on freezing, that's gonna 157 00:08:22,600 --> 00:08:24,920 Speaker 1: get people excited. And you hear that from some of 158 00:08:24,960 --> 00:08:28,480 Speaker 1: our guests this week. I'll tell you what I still 159 00:08:28,560 --> 00:08:31,880 Speaker 1: I'm still feeling hopeful. There's there's time left. And I'll 160 00:08:31,920 --> 00:08:34,040 Speaker 1: tell you one thing. You get that cold like you mentioned, 161 00:08:34,320 --> 00:08:37,000 Speaker 1: and if you can find those sanctuaries, if you can 162 00:08:37,000 --> 00:08:39,560 Speaker 1: find those little holes that bucks go into to get 163 00:08:39,559 --> 00:08:41,720 Speaker 1: away from all the people, you know, that's that's the 164 00:08:41,800 --> 00:08:44,880 Speaker 1: one particularly good thing about this time of year is 165 00:08:44,920 --> 00:08:48,360 Speaker 1: that deer much more, much more concentrated. Right in September 166 00:08:48,480 --> 00:08:51,760 Speaker 1: or October or November, deer can be all over the place. 167 00:08:51,760 --> 00:08:54,760 Speaker 1: There's great food everywhere, there's cover everywhere. They haven't been bothered. 168 00:08:55,000 --> 00:08:57,200 Speaker 1: Now you get to this time of year, food is rare, 169 00:08:57,520 --> 00:08:59,640 Speaker 1: cover is rare, and people have been bugging the heck 170 00:08:59,640 --> 00:09:01,280 Speaker 1: out of him. So there's only a couple of little 171 00:09:01,559 --> 00:09:04,199 Speaker 1: spots in any general region that dear No, they can 172 00:09:04,240 --> 00:09:07,480 Speaker 1: be safe. You can find those little safe spots. You're 173 00:09:07,480 --> 00:09:09,560 Speaker 1: gonna find them all. You're gonna find a bunch of deer. 174 00:09:10,000 --> 00:09:13,400 Speaker 1: So man, keep the faith because they're out there and 175 00:09:13,440 --> 00:09:14,920 Speaker 1: you can get on them. And if you find one 176 00:09:14,920 --> 00:09:17,000 Speaker 1: of those little hidie holes, you can have some really 177 00:09:17,240 --> 00:09:19,800 Speaker 1: good hunting. I dig the optimism, Mark, I will talk 178 00:09:19,840 --> 00:09:24,439 Speaker 1: to you next week. Sounds good, buddy, all right? And 179 00:09:24,559 --> 00:09:26,760 Speaker 1: joining us on the line next is Garrett Hike is 180 00:09:26,800 --> 00:09:30,599 Speaker 1: from Chasing the Dream TV in Nebraska. Garrett in Nebraska, 181 00:09:30,720 --> 00:09:32,679 Speaker 1: what would you say the buck activity has been lately 182 00:09:32,800 --> 00:09:35,280 Speaker 1: on a scale of one to ten. This past week 183 00:09:35,400 --> 00:09:37,600 Speaker 1: or less less than a week, it's probably been about 184 00:09:37,600 --> 00:09:40,320 Speaker 1: a four or five. It's been a little slower. The 185 00:09:40,360 --> 00:09:42,840 Speaker 1: week before it was pretty hot with second run activities, 186 00:09:42,880 --> 00:09:45,160 Speaker 1: So then I would have said seven or eight on 187 00:09:45,200 --> 00:09:47,880 Speaker 1: a couple of the days I had. Now you just 188 00:09:48,000 --> 00:09:50,560 Speaker 1: killed a giant buck in Nebraska. I think you said 189 00:09:50,600 --> 00:09:53,040 Speaker 1: it's the biggest one you've ever killed on that property. 190 00:09:53,120 --> 00:09:54,640 Speaker 1: Why did you want to be there and why did 191 00:09:54,679 --> 00:09:56,720 Speaker 1: that buck want to be in that spot? UM, I 192 00:09:56,720 --> 00:09:58,199 Speaker 1: think a lot of it was just betting and then 193 00:09:58,240 --> 00:10:01,000 Speaker 1: dough travel. UM. I've been seeing a decent amount of 194 00:10:01,200 --> 00:10:04,679 Speaker 1: second running activity that week. UM kind of hung as 195 00:10:04,720 --> 00:10:08,280 Speaker 1: stand for that buck specifically. UM had a little bit 196 00:10:08,280 --> 00:10:10,240 Speaker 1: of history with him, just one set of pictures last 197 00:10:10,280 --> 00:10:13,240 Speaker 1: year in the beginning of December, and then this year, uh, 198 00:10:13,440 --> 00:10:16,200 Speaker 1: end of October, I was just doing some scouting for 199 00:10:16,240 --> 00:10:18,440 Speaker 1: a couple of my other bucks that were taking a 200 00:10:18,440 --> 00:10:20,200 Speaker 1: different route to our plot, and I was doing an 201 00:10:20,200 --> 00:10:23,720 Speaker 1: observation sit and saw a big buck with splits come 202 00:10:23,800 --> 00:10:25,680 Speaker 1: up over the ridge too from the river bottom and 203 00:10:25,679 --> 00:10:27,280 Speaker 1: figured out had to be the one from last year, 204 00:10:27,360 --> 00:10:30,800 Speaker 1: So moved cameras around, got handful of pictures of him 205 00:10:30,800 --> 00:10:34,240 Speaker 1: throughout the month, and then uh, the last last week 206 00:10:34,240 --> 00:10:36,959 Speaker 1: of October or November and the first week of December, 207 00:10:36,960 --> 00:10:39,679 Speaker 1: he started showing up more and I narrowed down his travel. 208 00:10:40,400 --> 00:10:42,960 Speaker 1: UM kind of found where they were coming down into 209 00:10:43,000 --> 00:10:45,080 Speaker 1: the bedding, and it's kind of just some big burn 210 00:10:45,400 --> 00:10:48,440 Speaker 1: theater draws had a fire there like ten years ago, 211 00:10:48,800 --> 00:10:50,440 Speaker 1: and they just spilt their way through that. But they 212 00:10:50,480 --> 00:10:52,520 Speaker 1: hang around quite a bit in the morning and come 213 00:10:52,600 --> 00:10:54,320 Speaker 1: up and feed for a couple of hours in the 214 00:10:54,360 --> 00:10:57,040 Speaker 1: evening before they actually had up and out through the 215 00:10:57,080 --> 00:10:59,320 Speaker 1: open to the plot. Um. So I was just kind 216 00:10:59,320 --> 00:11:01,960 Speaker 1: of narrowing down on that and ended up bumping him 217 00:11:02,000 --> 00:11:04,160 Speaker 1: out of the pocket that I killed him in not 218 00:11:04,360 --> 00:11:07,600 Speaker 1: quite a week before. So hung a standing kind of 219 00:11:07,600 --> 00:11:10,640 Speaker 1: did the bumping dump technique, and I think I killed 220 00:11:10,679 --> 00:11:13,120 Speaker 1: him on the fourth sit, and I also had him 221 00:11:13,120 --> 00:11:16,480 Speaker 1: there among the first sit, just didn't come into range. 222 00:11:18,040 --> 00:11:20,800 Speaker 1: And what food sources are relevant right now in Nebraska, 223 00:11:21,640 --> 00:11:23,520 Speaker 1: we just have an acre and a half a plot 224 00:11:23,520 --> 00:11:26,440 Speaker 1: of Braska that they've been hitting really hard basically from 225 00:11:26,559 --> 00:11:28,480 Speaker 1: the middle of October all the way until now. They're 226 00:11:28,520 --> 00:11:31,360 Speaker 1: really hitting it since we've got this colder snap um. 227 00:11:31,400 --> 00:11:35,440 Speaker 1: And then we've got alpha fields along our other area 228 00:11:35,480 --> 00:11:38,600 Speaker 1: and then Nebraska plot there too, um. So we don't 229 00:11:38,600 --> 00:11:41,160 Speaker 1: really have much corner beans or anything like that around. 230 00:11:41,240 --> 00:11:43,520 Speaker 1: So I mean some of our properties, a lot of 231 00:11:43,520 --> 00:11:47,160 Speaker 1: it really is just natural movement through natural brows. I 232 00:11:47,200 --> 00:11:50,280 Speaker 1: mean our our plot near where I killed this book 233 00:11:50,440 --> 00:11:54,000 Speaker 1: is the only food source besides the natural brows for 234 00:11:54,160 --> 00:11:56,880 Speaker 1: I think two and a half to three miles probably. 235 00:11:57,679 --> 00:11:59,840 Speaker 1: You mentioned that you've been moving some cameras around right 236 00:11:59,840 --> 00:12:02,280 Speaker 1: now this time of year, you're putting all those cameras 237 00:12:02,280 --> 00:12:05,240 Speaker 1: on your food sources. Um. I've got three spread out 238 00:12:05,280 --> 00:12:07,520 Speaker 1: across our acre and a plot on the food source, 239 00:12:07,559 --> 00:12:09,040 Speaker 1: but the rest of them are still kind of on 240 00:12:09,120 --> 00:12:12,200 Speaker 1: that rut travel. Um. And then I got a couple 241 00:12:12,200 --> 00:12:14,760 Speaker 1: of inbedding areas just on on licking branches, just to 242 00:12:14,800 --> 00:12:17,520 Speaker 1: kind of monitor that, and they've actually been I've been 243 00:12:17,520 --> 00:12:20,560 Speaker 1: getting quite a bit of action yet still. Um, but 244 00:12:20,679 --> 00:12:23,520 Speaker 1: I'm definitely noticing the deer grouping up again and then 245 00:12:24,120 --> 00:12:26,520 Speaker 1: just small flurries of second right activity. But what I 246 00:12:26,559 --> 00:12:28,920 Speaker 1: have seen for that has been a lot stronger than 247 00:12:29,200 --> 00:12:31,559 Speaker 1: we saw during the peacrow, which is kind of weird. 248 00:12:32,320 --> 00:12:34,120 Speaker 1: What is a morning set up look like for you 249 00:12:34,200 --> 00:12:36,800 Speaker 1: this time of year? Um, that's the spot that I 250 00:12:36,840 --> 00:12:39,320 Speaker 1: was hunting him in was basically only a morning spot, 251 00:12:39,360 --> 00:12:41,920 Speaker 1: so I was just kind of trying to get into 252 00:12:41,960 --> 00:12:45,360 Speaker 1: the bedding area. UM. Like this spot, it's a it's 253 00:12:45,400 --> 00:12:48,920 Speaker 1: a third acre chunk of theaters and a few hardwoods 254 00:12:49,400 --> 00:12:52,680 Speaker 1: down at the bottom of a big burn valley of cedars, 255 00:12:52,720 --> 00:12:54,960 Speaker 1: and they bed in there sometimes, but a lot of 256 00:12:54,960 --> 00:12:57,640 Speaker 1: times they've been just moving through it. So I've been 257 00:12:57,679 --> 00:13:00,320 Speaker 1: trying to get in there early, early, before a light, 258 00:13:00,440 --> 00:13:03,520 Speaker 1: just in case anything comes back sooner, and just catching 259 00:13:03,559 --> 00:13:06,480 Speaker 1: them cruising back through, either betting in that pocket or 260 00:13:06,520 --> 00:13:08,440 Speaker 1: moving through it on their way to where they're going 261 00:13:08,520 --> 00:13:10,960 Speaker 1: to bed for the rest of the day. Historically, do 262 00:13:11,000 --> 00:13:13,080 Speaker 1: you notice any kind of a shift in bedding in 263 00:13:13,120 --> 00:13:17,280 Speaker 1: Nebraska this time of year? Usually? Yeah, A lot of 264 00:13:17,280 --> 00:13:19,960 Speaker 1: times our deer will just leave because we don't have 265 00:13:20,200 --> 00:13:22,920 Speaker 1: food sources that close. So we'll notice a lot of 266 00:13:22,920 --> 00:13:25,720 Speaker 1: big winter herds along the Nyabraa River and then up 267 00:13:25,880 --> 00:13:28,800 Speaker 1: north towards the Missouri River on the actual agg fields, 268 00:13:28,840 --> 00:13:31,320 Speaker 1: and the deer that do stick around us definitely go 269 00:13:31,400 --> 00:13:34,760 Speaker 1: to thicker thermal cover like our our self facing slopes, 270 00:13:34,840 --> 00:13:38,000 Speaker 1: and we've got some super thick areas of theaters. They 271 00:13:38,040 --> 00:13:42,359 Speaker 1: really hungergating those areas. Have you been seeing any signmaking 272 00:13:42,400 --> 00:13:45,400 Speaker 1: as of late, Um, Yeah, they d in the past 273 00:13:45,440 --> 00:13:48,520 Speaker 1: week and a half or I guess last week and 274 00:13:48,559 --> 00:13:50,640 Speaker 1: the week and a half of that. Um, quite a 275 00:13:50,640 --> 00:13:53,960 Speaker 1: bit more rubbing activity this buck the first morning that 276 00:13:54,040 --> 00:13:56,960 Speaker 1: I seen him, he was making a rub right west 277 00:13:57,040 --> 00:14:00,720 Speaker 1: me at like seven yards and still pretty aggressive of um, 278 00:14:00,760 --> 00:14:02,560 Speaker 1: a lot of a lot of chasing I've seen in 279 00:14:02,600 --> 00:14:06,560 Speaker 1: that pocket, and uh they hit the scrapes pretty decent 280 00:14:06,679 --> 00:14:08,880 Speaker 1: that week week and a half of where I feel 281 00:14:08,920 --> 00:14:11,720 Speaker 1: like the second running activity was hot and heavy, but 282 00:14:12,520 --> 00:14:15,520 Speaker 1: between peak rutt and the second rut it was pretty 283 00:14:15,520 --> 00:14:18,720 Speaker 1: slow and then it's kind of slowed down again going forward. 284 00:14:18,720 --> 00:14:20,320 Speaker 1: Then in the sext week or so, what do you 285 00:14:20,320 --> 00:14:22,240 Speaker 1: think that buck activity is going to be on a 286 00:14:22,240 --> 00:14:26,040 Speaker 1: scale of one to ten in Nebraska? Oh, I'd say 287 00:14:26,040 --> 00:14:29,400 Speaker 1: probably of four or five. We don't have the greatest 288 00:14:29,400 --> 00:14:32,120 Speaker 1: weather rolling in and second running activity I think is 289 00:14:32,120 --> 00:14:34,160 Speaker 1: winding down quite a bit, so I'll probably just be 290 00:14:34,920 --> 00:14:38,280 Speaker 1: more bad to food activity. Are Garrett, congrats again on 291 00:14:38,320 --> 00:14:41,200 Speaker 1: the great buck. Thanks for joining me. Thank you all 292 00:14:41,280 --> 00:14:43,360 Speaker 1: right and joining us on the line. Next is Josh 293 00:14:43,400 --> 00:14:47,080 Speaker 1: Genty from Cut four Outdoors in North Carolina. Josh and 294 00:14:47,200 --> 00:14:49,520 Speaker 1: North Carolina. What would you say the buck activity has 295 00:14:49,520 --> 00:14:53,320 Speaker 1: been lately on a scale of one to ten, It's 296 00:14:53,360 --> 00:14:55,680 Speaker 1: definitely down the lower end. I'd probably say it three, 297 00:14:56,000 --> 00:15:00,160 Speaker 1: maybe a four, just because leaving Dale with some weird weather. Mean, 298 00:15:00,200 --> 00:15:03,040 Speaker 1: we've been having highs in the this seventies lately, and 299 00:15:03,120 --> 00:15:05,440 Speaker 1: it's really been shutting the bucks down as far as movement, 300 00:15:05,480 --> 00:15:08,440 Speaker 1: like they're moving really late. You know, it's it's really 301 00:15:08,480 --> 00:15:10,400 Speaker 1: hard to catch them on their feet in daylight right 302 00:15:10,400 --> 00:15:13,800 Speaker 1: now has been What would you identify this phase of 303 00:15:13,840 --> 00:15:20,160 Speaker 1: the rod as in North Carolina? I would post if 304 00:15:20,200 --> 00:15:23,040 Speaker 1: not already going into that winter, like that winter pattern 305 00:15:23,120 --> 00:15:26,200 Speaker 1: that they have, um, Because like I got some books 306 00:15:26,240 --> 00:15:29,400 Speaker 1: that you know, they disappeared once the runs started kicking him, 307 00:15:29,400 --> 00:15:31,800 Speaker 1: but they're just now starting to show back up. I 308 00:15:31,840 --> 00:15:33,880 Speaker 1: think that's just a sign to them like they're done 309 00:15:33,960 --> 00:15:36,920 Speaker 1: chasing and they're just kind of settling in and kind 310 00:15:36,920 --> 00:15:39,480 Speaker 1: of locking back down in their core area on that 311 00:15:39,480 --> 00:15:41,720 Speaker 1: winter pattern, just trying to feed up for the winter. 312 00:15:41,880 --> 00:15:45,160 Speaker 1: It's probably my guests historically, do you usually see any 313 00:15:45,240 --> 00:15:51,160 Speaker 1: kind of secondary rutting action in North Carolina? Sometimes? Um, Usually, 314 00:15:51,200 --> 00:15:53,120 Speaker 1: like if I'm sitting, especially at this time of year, 315 00:15:53,480 --> 00:15:55,960 Speaker 1: if I see if I'm sitting on a food plot 316 00:15:56,040 --> 00:15:57,720 Speaker 1: or something like that, and I only see one or 317 00:15:57,760 --> 00:16:01,000 Speaker 1: two does like together, it's usually a good sign that 318 00:16:01,080 --> 00:16:03,120 Speaker 1: you don't have whether it be a young buck or 319 00:16:03,200 --> 00:16:05,760 Speaker 1: older bucks, there's gonna be something in tow for some reason, 320 00:16:06,200 --> 00:16:08,000 Speaker 1: And I think it's just because it's a sign that 321 00:16:08,160 --> 00:16:10,640 Speaker 1: usually the like that year wind or that younger dough 322 00:16:10,640 --> 00:16:13,080 Speaker 1: is just now starting to go in to eat and 323 00:16:13,240 --> 00:16:16,680 Speaker 1: further wait for that moment hoping it does. But this 324 00:16:17,240 --> 00:16:19,280 Speaker 1: it's very rare around here. I think it's more dependent 325 00:16:19,320 --> 00:16:20,960 Speaker 1: on your dough numbers. If you've got a lot of 326 00:16:20,960 --> 00:16:24,880 Speaker 1: those more common. Some places that have less dough numbers 327 00:16:24,960 --> 00:16:28,560 Speaker 1: is usually less common if you're doing some in seasoned 328 00:16:28,600 --> 00:16:30,560 Speaker 1: scouting in that part of the country. What are some 329 00:16:30,600 --> 00:16:33,760 Speaker 1: things you're looking for this time of year. I'm definitely 330 00:16:33,800 --> 00:16:36,160 Speaker 1: looking for, well, you know, you can start with your 331 00:16:36,200 --> 00:16:38,800 Speaker 1: fields and stuff like that, your food plots, but you're 332 00:16:38,840 --> 00:16:41,720 Speaker 1: looking for brows at this time of year. Anything that's 333 00:16:41,800 --> 00:16:44,360 Speaker 1: kind of greenish that the deer will brows on, whether 334 00:16:44,360 --> 00:16:48,120 Speaker 1: it was friars, wheat fields, anything like that, that's their 335 00:16:48,160 --> 00:16:51,160 Speaker 1: main source. Like for some reason, it just seems to 336 00:16:51,200 --> 00:16:53,720 Speaker 1: be what the deer prefers this time of years that 337 00:16:53,760 --> 00:16:56,960 Speaker 1: win or weak kind of deal, mainly because I don't 338 00:16:57,440 --> 00:16:59,760 Speaker 1: The only thing I've noticed is namely the green like 339 00:17:00,080 --> 00:17:02,920 Speaker 1: thing green colors has been like a game changer as 340 00:17:02,920 --> 00:17:05,280 Speaker 1: far as like what I've seen just by you know, 341 00:17:05,320 --> 00:17:07,920 Speaker 1: walking in and out of the woods, placing trail cameras 342 00:17:07,920 --> 00:17:09,960 Speaker 1: that kind of stuff. Where do you want to be 343 00:17:10,040 --> 00:17:14,960 Speaker 1: running your trail cameras right now? Um, definitely anywhere where 344 00:17:15,000 --> 00:17:18,840 Speaker 1: I think the deer might be staging. So, like I said, 345 00:17:18,880 --> 00:17:20,920 Speaker 1: like you got some kind of stage in area, like 346 00:17:21,320 --> 00:17:25,600 Speaker 1: like a small half acre winter wheat food plot or 347 00:17:25,640 --> 00:17:28,600 Speaker 1: whether it be some um in North Carolina has been 348 00:17:28,680 --> 00:17:31,520 Speaker 1: kind of a dry year, and I definitely wouldn't count 349 00:17:31,600 --> 00:17:34,359 Speaker 1: a water oaks salad question either down there, like in 350 00:17:34,400 --> 00:17:36,960 Speaker 1: creek bottoms of river bottles and stuff like that. I 351 00:17:37,000 --> 00:17:40,360 Speaker 1: definitely wouldn't put that out of the question. But I'm 352 00:17:40,400 --> 00:17:43,240 Speaker 1: definitely gonna hang them where there's where I think they 353 00:17:43,320 --> 00:17:46,840 Speaker 1: might be staging that or possibly you know, I keep 354 00:17:46,880 --> 00:17:48,919 Speaker 1: one or two on the big grain field that you 355 00:17:48,960 --> 00:17:51,240 Speaker 1: have to you have access to one just that way 356 00:17:51,280 --> 00:17:54,359 Speaker 1: you know what field they're trying to work towards, and 357 00:17:54,400 --> 00:17:56,080 Speaker 1: then you can use that as like a starting spot 358 00:17:56,080 --> 00:17:57,640 Speaker 1: and then work your way back to where you think 359 00:17:57,640 --> 00:18:01,120 Speaker 1: they're staging, and then eventually even kind of pinpoint where 360 00:18:01,160 --> 00:18:03,919 Speaker 1: their core area is, whether daily routine is gonna be 361 00:18:05,200 --> 00:18:07,280 Speaker 1: during post ride. Do you normally witness any kind of 362 00:18:07,280 --> 00:18:11,920 Speaker 1: a shift in the bedding a little bit. Um, it's 363 00:18:12,080 --> 00:18:15,840 Speaker 1: kind of like, um, it's almost like early season bed 364 00:18:15,880 --> 00:18:18,080 Speaker 1: and kind of so like your dose will be bed 365 00:18:18,160 --> 00:18:21,520 Speaker 1: and more like you know, your cutovers and your thick stuff. 366 00:18:21,880 --> 00:18:23,840 Speaker 1: But for some reason, I feel like the bucks been 367 00:18:23,920 --> 00:18:26,760 Speaker 1: on the complete opposite side. I don't know why that is, 368 00:18:27,320 --> 00:18:31,240 Speaker 1: but they're definitely further off where they're trying to feed at. 369 00:18:31,560 --> 00:18:34,240 Speaker 1: They're obviously more weird you just from hunting pressure, but 370 00:18:34,600 --> 00:18:37,080 Speaker 1: for some reason they're on the complete opposite side of 371 00:18:37,119 --> 00:18:39,160 Speaker 1: where you think that those are. And I'm not sure 372 00:18:39,160 --> 00:18:41,800 Speaker 1: why that is, but that's just one of those things 373 00:18:41,800 --> 00:18:44,959 Speaker 1: that I've observed this past couple of weeks. What does 374 00:18:45,000 --> 00:18:47,000 Speaker 1: the morning set up look like for you this time 375 00:18:47,040 --> 00:18:51,000 Speaker 1: of year? Morning set up, I'm definitely gonna go towards 376 00:18:51,200 --> 00:18:53,320 Speaker 1: m I'm actually gonna look for them staging areas to 377 00:18:53,359 --> 00:18:56,600 Speaker 1: be honestly, because I've noticed what the weather we're having. 378 00:18:56,600 --> 00:19:01,160 Speaker 1: We're getting set like mid seventies, low seventies and then 379 00:19:01,520 --> 00:19:04,040 Speaker 1: at night just getting down in the thirties, and those 380 00:19:04,080 --> 00:19:06,800 Speaker 1: deer lingering in the big open act fields longer, so 381 00:19:06,840 --> 00:19:09,879 Speaker 1: they're actually taking their time coming back to bed. So 382 00:19:09,960 --> 00:19:13,479 Speaker 1: I would definitely look for like cutovers or anything like that. 383 00:19:13,520 --> 00:19:15,960 Speaker 1: We're dear it's gonna kind of feeds back through where 384 00:19:15,960 --> 00:19:18,440 Speaker 1: they get some more sublite on their way back to bed. 385 00:19:18,840 --> 00:19:22,199 Speaker 1: That would be my number one UM point of interest 386 00:19:23,000 --> 00:19:25,840 Speaker 1: to say, Um, I know, I got a buddy that 387 00:19:25,920 --> 00:19:29,760 Speaker 1: killed a big, a giant six corner last year about 388 00:19:29,800 --> 00:19:31,600 Speaker 1: this time of year, doing the same thing. He had 389 00:19:31,640 --> 00:19:34,880 Speaker 1: a big giant at field that was corn one year 390 00:19:34,920 --> 00:19:37,600 Speaker 1: I think, and then he had access to hunt this 391 00:19:37,680 --> 00:19:40,600 Speaker 1: big cut over right next to it. And he said 392 00:19:40,680 --> 00:19:43,040 Speaker 1: that whenever he climbed up in the tree, saw the 393 00:19:43,080 --> 00:19:44,920 Speaker 1: big six in the field and it was still either 394 00:19:44,960 --> 00:19:47,440 Speaker 1: eating the word right through that cut over that morning 395 00:19:47,560 --> 00:19:50,480 Speaker 1: ended up giving him a good shot. And let's just 396 00:19:50,520 --> 00:19:53,119 Speaker 1: say he had a good morning that day. Going forward, 397 00:19:53,160 --> 00:19:54,800 Speaker 1: then in the sext week or so, what do you 398 00:19:54,800 --> 00:19:56,720 Speaker 1: think that buck activity is going to be on a 399 00:19:56,720 --> 00:20:00,399 Speaker 1: scale of one to ten in North Carolina. I'm definitely 400 00:20:00,400 --> 00:20:03,199 Speaker 1: gonna say, if you can hold off, it'll be all 401 00:20:03,320 --> 00:20:06,359 Speaker 1: right right now. But I'm definitely I would make it 402 00:20:06,400 --> 00:20:10,199 Speaker 1: a priority to be in the tree Sunday, Monday and 403 00:20:10,280 --> 00:20:13,920 Speaker 1: Tuesday this upcoming week, because we're gonna get it. We're 404 00:20:13,920 --> 00:20:16,800 Speaker 1: gonna stay in the seventies mid sixties this week, but 405 00:20:17,040 --> 00:20:20,520 Speaker 1: just supposed to drop from we're gonna getting seventy five Saturday, 406 00:20:20,800 --> 00:20:22,800 Speaker 1: it's gonna drop all the way down to fifty nine. 407 00:20:23,080 --> 00:20:25,720 Speaker 1: And anytime you have a major temperature change like that, 408 00:20:26,119 --> 00:20:28,639 Speaker 1: the bucks are always gonna get up earlier. It's just 409 00:20:28,760 --> 00:20:31,119 Speaker 1: like a shock to the system that first day of 410 00:20:31,119 --> 00:20:33,320 Speaker 1: a cold front. Whenever it's moving in, that's usually your 411 00:20:33,320 --> 00:20:36,440 Speaker 1: best time in your best bet so that you're gonna 412 00:20:36,480 --> 00:20:39,760 Speaker 1: see some buck all right, Josh, I'd like the optimism. 413 00:20:39,840 --> 00:20:41,200 Speaker 1: Good luck to un the rest of the team, and 414 00:20:41,240 --> 00:20:45,600 Speaker 1: thanks for joining me alright and joining us on the line. 415 00:20:45,600 --> 00:20:49,000 Speaker 1: Next is Luke Thoroldsen from weather be in Texas. Now, 416 00:20:49,080 --> 00:20:51,280 Speaker 1: Luke in Texas, what would you say the bucket activity 417 00:20:51,320 --> 00:20:53,240 Speaker 1: has been lately on the scale of one to ten. 418 00:20:55,080 --> 00:20:57,800 Speaker 1: I was down in Texas last week. I see it 419 00:20:57,880 --> 00:21:04,160 Speaker 1: was probably a nine. Um. I watched multiple bucks fighting 420 00:21:04,200 --> 00:21:08,240 Speaker 1: overdose right in front of me. It was pretty awesome 421 00:21:08,280 --> 00:21:10,280 Speaker 1: to see. Um. Some of the other guys that are 422 00:21:10,320 --> 00:21:13,640 Speaker 1: on the trip actually saw some bucks breed dose. Um. 423 00:21:13,760 --> 00:21:16,200 Speaker 1: You know, in Texas you can feed, right, so people 424 00:21:16,400 --> 00:21:20,520 Speaker 1: are hunting that feeders and it really helps watch them 425 00:21:20,560 --> 00:21:22,800 Speaker 1: congregate and see what's going on. So I'd say the 426 00:21:22,840 --> 00:21:25,800 Speaker 1: rut activity was pretty darn high. So in that part 427 00:21:25,800 --> 00:21:27,679 Speaker 1: of Texas, do you think you were seeing some of 428 00:21:27,680 --> 00:21:29,800 Speaker 1: the rutting action from the first rut or were you 429 00:21:29,800 --> 00:21:34,120 Speaker 1: getting some secondary rut? That's a great question. Um, it's 430 00:21:34,280 --> 00:21:37,920 Speaker 1: this likely secondary rut because it wasn't like full board. 431 00:21:38,040 --> 00:21:39,640 Speaker 1: A lot of the little bucks were just kind of 432 00:21:39,640 --> 00:21:43,760 Speaker 1: standing around, um feeding and it was just kind of 433 00:21:43,800 --> 00:21:46,680 Speaker 1: the slightly bigger guys that were still cruising around, and 434 00:21:46,760 --> 00:21:49,760 Speaker 1: not every dose seemed to be hot. So I think 435 00:21:49,800 --> 00:21:53,080 Speaker 1: there was probably second or late ruts. I know, you 436 00:21:53,119 --> 00:21:54,920 Speaker 1: said you and the other guys in camp and am 437 00:21:54,960 --> 00:21:57,879 Speaker 1: going eight for eight on Bucks. Were you seeing better 438 00:21:57,920 --> 00:22:02,440 Speaker 1: movement in the mornings or in the evenings. I personally 439 00:22:02,480 --> 00:22:06,480 Speaker 1: was seeing better movement in the evenings. That said, I 440 00:22:06,480 --> 00:22:11,560 Speaker 1: think more people killed out in the morning. Um. And 441 00:22:12,520 --> 00:22:16,000 Speaker 1: you know, it's hard to say exactly why. Um. I 442 00:22:16,320 --> 00:22:19,680 Speaker 1: had a great stand where I watched multiple Bucks fights. 443 00:22:19,720 --> 00:22:22,760 Speaker 1: It was super awesome. Um. The downside of that was 444 00:22:22,800 --> 00:22:25,800 Speaker 1: that like the bigger boys, they they seem to be 445 00:22:25,880 --> 00:22:28,359 Speaker 1: more active in the afternoon. I never saw any of 446 00:22:28,359 --> 00:22:32,560 Speaker 1: the big boys in the morning. What food sources were 447 00:22:32,560 --> 00:22:36,919 Speaker 1: you hunting down there? Um, you know it's the drought, 448 00:22:37,119 --> 00:22:39,359 Speaker 1: and you know this is kind of West Texas, right 449 00:22:39,440 --> 00:22:43,000 Speaker 1: near near Abilene, and uh, there's pretty bad drought right now, 450 00:22:43,040 --> 00:22:46,920 Speaker 1: so natural food, um, was hard to come by. So 451 00:22:47,000 --> 00:22:51,040 Speaker 1: we're at feeders that are throwing corn. So um, they 452 00:22:51,040 --> 00:22:53,720 Speaker 1: were quick to come to corn. A feeder would throw 453 00:22:54,200 --> 00:22:56,720 Speaker 1: and you got you got those usually coming out first 454 00:22:56,760 --> 00:23:01,680 Speaker 1: and then buck shortly after that. Um, but they were there. Definitely, 455 00:23:02,200 --> 00:23:05,320 Speaker 1: it's ditching to get on the corn quick. It seems 456 00:23:05,359 --> 00:23:07,399 Speaker 1: like with late season deer hunting, whether you're in the 457 00:23:07,440 --> 00:23:09,840 Speaker 1: South or Midwest or the West, you tend to have 458 00:23:09,880 --> 00:23:12,240 Speaker 1: shots that are closer than when you do in early 459 00:23:12,359 --> 00:23:14,840 Speaker 1: season or the rut. So, Luke, do you have a 460 00:23:14,920 --> 00:23:17,760 Speaker 1: favorite cartridge for when you're in a situation where you're 461 00:23:17,760 --> 00:23:19,639 Speaker 1: probably gonna be taking a shot that's within like a 462 00:23:19,760 --> 00:23:24,800 Speaker 1: hundred and fifty yards? I do. Yeah. You know, the 463 00:23:24,880 --> 00:23:27,640 Speaker 1: name of Weatherby's game is speed right speed kills. So 464 00:23:28,080 --> 00:23:31,560 Speaker 1: I'm a big fan of the six five three hundred. Um, 465 00:23:31,600 --> 00:23:34,879 Speaker 1: it's what I do different on the six D for 466 00:23:34,960 --> 00:23:38,320 Speaker 1: hunting down to Texas is I would when I'm Western hunting, 467 00:23:38,320 --> 00:23:40,600 Speaker 1: I'm going to run a three hundred yards zero, but 468 00:23:40,920 --> 00:23:43,240 Speaker 1: down in Texas, I'm going to adjust the rifle down 469 00:23:43,240 --> 00:23:47,199 Speaker 1: to a hundred yards zero. So, um, you know, most shots, 470 00:23:47,240 --> 00:23:48,600 Speaker 1: like you said, are going to be a hundred two 471 00:23:48,680 --> 00:23:52,239 Speaker 1: hundred and fifty yards. Um. I shot my buck right 472 00:23:52,240 --> 00:23:56,119 Speaker 1: out a hundred yards. So the benefit to change in 473 00:23:56,160 --> 00:23:58,560 Speaker 1: the zero to a hundred yards instead of three hundred 474 00:23:58,640 --> 00:24:00,960 Speaker 1: is you don't have to guess where are where your 475 00:24:00,920 --> 00:24:03,520 Speaker 1: blitz going to impact or or adjust your scope. If 476 00:24:03,520 --> 00:24:05,960 Speaker 1: you have a zero stop you want to hold. You 477 00:24:06,000 --> 00:24:07,600 Speaker 1: don't want to try to guess that three and a 478 00:24:07,640 --> 00:24:10,359 Speaker 1: half inches high at a hundred well and mentally then 479 00:24:10,359 --> 00:24:13,320 Speaker 1: you're like, well, what's that do at seventy? So it 480 00:24:13,359 --> 00:24:15,920 Speaker 1: makes it a little bit simpler system for that hundred 481 00:24:16,000 --> 00:24:19,280 Speaker 1: yards zero. But the six five hundred, I was using 482 00:24:19,320 --> 00:24:21,960 Speaker 1: a hundred and thirty grains to rocco um and that's 483 00:24:21,960 --> 00:24:25,440 Speaker 1: bad medicine for deer. And we shot eight deer and 484 00:24:25,600 --> 00:24:28,240 Speaker 1: um mine actually went twenty five yards. I put it 485 00:24:28,240 --> 00:24:29,800 Speaker 1: in the engine room, but I didn't hit the heart. 486 00:24:30,440 --> 00:24:33,480 Speaker 1: But but mine was the only buck that took a step. 487 00:24:33,520 --> 00:24:36,439 Speaker 1: Every other was a d r T and that a 488 00:24:36,480 --> 00:24:38,080 Speaker 1: hundred and thirty grain bull. It is that where you're 489 00:24:38,080 --> 00:24:40,960 Speaker 1: gonna be using from like September to December or is 490 00:24:40,960 --> 00:24:45,280 Speaker 1: that different for you in late season? Yeah, it depends 491 00:24:45,280 --> 00:24:46,840 Speaker 1: a little bit on where I'm going to hunt. I 492 00:24:46,960 --> 00:24:49,800 Speaker 1: also like a hundred and fifty six grain um Elite Hunter, 493 00:24:49,920 --> 00:24:52,879 Speaker 1: but that's better for your longer range shots. UM that 494 00:24:53,000 --> 00:24:55,800 Speaker 1: hundred and thirty grain it's like I said, it's really 495 00:24:55,840 --> 00:24:58,400 Speaker 1: bad medicine for deer. And also on hogs. We shot 496 00:24:58,440 --> 00:25:00,159 Speaker 1: quite a few hogs while we were down there, so 497 00:25:01,040 --> 00:25:03,480 Speaker 1: we had one punch through that thick shoulder plate that 498 00:25:03,520 --> 00:25:07,080 Speaker 1: people get scared of. Most people avoided shooting there, but 499 00:25:07,119 --> 00:25:10,680 Speaker 1: we have one that hit through there and it's uh yeah, 500 00:25:10,960 --> 00:25:15,159 Speaker 1: that ONEAKA was a really really good uh bonded bullet. 501 00:25:15,200 --> 00:25:17,960 Speaker 1: Maybe want to be best bonded bullets out there. And 502 00:25:18,000 --> 00:25:20,160 Speaker 1: if you're in a game rich environment like Texas where 503 00:25:20,200 --> 00:25:22,840 Speaker 1: you might encounter hogs or bobcats or nil guy or 504 00:25:22,880 --> 00:25:25,399 Speaker 1: on Dad. When you're a place like that where you're 505 00:25:25,440 --> 00:25:27,440 Speaker 1: targeting to hear, but you might encounter a wide range 506 00:25:27,480 --> 00:25:30,119 Speaker 1: of game, do you have a favorite cartridge for that situation. 507 00:25:30,320 --> 00:25:33,639 Speaker 1: Is it gonna be the same thing. Yeah. You know, 508 00:25:33,880 --> 00:25:36,199 Speaker 1: if you shoot a bobcat or coyote or something with 509 00:25:36,280 --> 00:25:38,880 Speaker 1: that set up and you want to you know, keep 510 00:25:38,920 --> 00:25:41,200 Speaker 1: the hide, you're you're likely to have a fairly large 511 00:25:41,200 --> 00:25:45,440 Speaker 1: exit hole. Um in that scenario, from our lineup, I'd 512 00:25:45,440 --> 00:25:47,639 Speaker 1: be looking at like a two forty weather Be or 513 00:25:47,680 --> 00:25:50,520 Speaker 1: a two seven weather Be, a much lighter grain bullet, 514 00:25:50,840 --> 00:25:54,560 Speaker 1: still great for deer. Um. But we were on a 515 00:25:54,560 --> 00:25:56,520 Speaker 1: meat hunt on this On this trip, it was like 516 00:25:56,560 --> 00:25:58,680 Speaker 1: kind of a field of table events, so our goal 517 00:25:58,840 --> 00:26:02,680 Speaker 1: was to make sure we got meat and everybody had 518 00:26:02,760 --> 00:26:06,720 Speaker 1: meat down. Um, the slightly lighter bullets are going to 519 00:26:06,800 --> 00:26:08,800 Speaker 1: definitely do the job, but it may not always drop 520 00:26:08,840 --> 00:26:11,440 Speaker 1: them in their tracks. Which the Texas country with the 521 00:26:11,520 --> 00:26:15,080 Speaker 1: mesquites and cactus and all that, it can be really 522 00:26:15,080 --> 00:26:17,960 Speaker 1: tough to find blood in dirt or in you know, 523 00:26:18,160 --> 00:26:20,960 Speaker 1: almost nothing at all. But then the deer runoff into 524 00:26:21,000 --> 00:26:23,159 Speaker 1: the mesquites. They could be right in front of you, 525 00:26:23,200 --> 00:26:25,520 Speaker 1: it's just hard to see them. So our object is 526 00:26:25,560 --> 00:26:28,119 Speaker 1: to just drop them right there. Going forward, then is 527 00:26:28,200 --> 00:26:29,800 Speaker 1: next week or so, what do you think that bucket 528 00:26:29,920 --> 00:26:31,560 Speaker 1: TV is going to be On a scale of one 529 00:26:31,600 --> 00:26:35,679 Speaker 1: to ten in Texas. I would say that it's going 530 00:26:35,720 --> 00:26:37,840 Speaker 1: to be a little lower than what we saw because 531 00:26:37,840 --> 00:26:40,120 Speaker 1: I think it was slowing down as the week went 532 00:26:40,200 --> 00:26:42,199 Speaker 1: on for us, But we saw the most activity at 533 00:26:42,200 --> 00:26:44,240 Speaker 1: the beginning of the week. So if we were in 534 00:26:44,359 --> 00:26:46,840 Speaker 1: nine before, I'm going to stay that. Um next week, 535 00:26:46,880 --> 00:26:49,280 Speaker 1: it's it's probably gonna be closer to a five or six. 536 00:26:49,640 --> 00:26:51,440 Speaker 1: All right, Luke, congrats to you and the team from 537 00:26:51,440 --> 00:26:53,600 Speaker 1: whether be in a successful trip. Thanks for joining me. 538 00:26:54,359 --> 00:26:56,680 Speaker 1: Thanks Spencer, all right and joining us on the line. 539 00:26:56,760 --> 00:27:00,440 Speaker 1: Last is Kevin Vistison from the Deer Hunter podcast in Michigan. 540 00:27:00,840 --> 00:27:03,120 Speaker 1: Kevin in Michigan, what would you say the buck activity 541 00:27:03,160 --> 00:27:06,480 Speaker 1: has been lately on a scale of one to ten. Yeah, 542 00:27:06,520 --> 00:27:08,840 Speaker 1: I was thinking about that and I'm gonna go right 543 00:27:08,880 --> 00:27:11,480 Speaker 1: down the middle of the pipe to say probably a five. 544 00:27:11,960 --> 00:27:16,639 Speaker 1: And the reason that I'm saying that is because deer 545 00:27:16,640 --> 00:27:21,200 Speaker 1: are pretty concentrated into a secure area at this point 546 00:27:21,200 --> 00:27:24,320 Speaker 1: in the season, having been being chased around for better 547 00:27:24,400 --> 00:27:28,199 Speaker 1: part of three months. And if they feel that they 548 00:27:28,240 --> 00:27:30,800 Speaker 1: are in that secure area and no one has evaded 549 00:27:30,840 --> 00:27:36,000 Speaker 1: it or invaded it, they will probably move in you know, 550 00:27:36,080 --> 00:27:40,919 Speaker 1: the last daylight hour. Um, maybe throughout the morning and 551 00:27:41,000 --> 00:27:45,240 Speaker 1: feed within that proximity. But it's a problematic to be 552 00:27:45,240 --> 00:27:47,879 Speaker 1: able to get in and out of those areas and 553 00:27:47,960 --> 00:27:51,000 Speaker 1: get into that comfort zone of theirs. I'm talking probably 554 00:27:51,040 --> 00:27:54,760 Speaker 1: within a hundred yards of a better deer and with it. 555 00:27:55,280 --> 00:27:57,840 Speaker 1: To think that it would move outside of that area 556 00:27:58,520 --> 00:28:02,359 Speaker 1: in you know, in daylight hours is probably not realistic. 557 00:28:02,880 --> 00:28:04,920 Speaker 1: And how do you go about locating one of those 558 00:28:04,920 --> 00:28:07,359 Speaker 1: secure areas this time of year in the big woods 559 00:28:07,359 --> 00:28:11,360 Speaker 1: of a stay like Michigan. So, yeah, I'm gonna obviously, yeah, 560 00:28:11,359 --> 00:28:13,920 Speaker 1: I'm glad you specified. I'm gonna be specific about what 561 00:28:14,000 --> 00:28:15,960 Speaker 1: I know and what I can do, And a lot 562 00:28:16,000 --> 00:28:18,919 Speaker 1: of that revolves this time of year around snow. We 563 00:28:19,000 --> 00:28:22,639 Speaker 1: get some snow. I take full advantage of that getting 564 00:28:22,640 --> 00:28:28,240 Speaker 1: out and yeah, you know, tracking down dear finding tracks, 565 00:28:28,480 --> 00:28:31,399 Speaker 1: finding where they're feeding, where they're betting it. It really 566 00:28:31,560 --> 00:28:34,880 Speaker 1: really just gives them up. And so if he could 567 00:28:34,880 --> 00:28:38,240 Speaker 1: take advantage of that, I've snuck out before work and uh, 568 00:28:38,360 --> 00:28:41,840 Speaker 1: you know, rearranged some plans to get out right after 569 00:28:42,040 --> 00:28:45,440 Speaker 1: a snow comes at night and be able to get 570 00:28:45,480 --> 00:28:50,280 Speaker 1: a really good description of exactly what is going on 571 00:28:50,400 --> 00:28:53,240 Speaker 1: without snow, it can be it can be pretty challenging 572 00:28:53,960 --> 00:29:00,200 Speaker 1: what food sources are relevant right now? Brows most the 573 00:29:00,280 --> 00:29:03,280 Speaker 1: areas that I hunt northern Michigan, that is the deer's 574 00:29:03,360 --> 00:29:06,880 Speaker 1: food source all year. I know if you hear a 575 00:29:06,920 --> 00:29:10,440 Speaker 1: lot about acorns and egg for the most part when 576 00:29:10,600 --> 00:29:14,200 Speaker 1: people are asked this question. But for me, in the 577 00:29:14,240 --> 00:29:17,640 Speaker 1: areas that I hunt, the deer are just eating natural brows. 578 00:29:17,680 --> 00:29:22,280 Speaker 1: It's probably you know, and maybe ninety percent of their diet. 579 00:29:22,720 --> 00:29:25,680 Speaker 1: So they're really forging on whatever they can get access 580 00:29:25,760 --> 00:29:29,640 Speaker 1: to this time of year. Uh, cedar becomes prevalent the 581 00:29:29,720 --> 00:29:31,920 Speaker 1: later we get in the season. But I'll also add, 582 00:29:31,960 --> 00:29:34,440 Speaker 1: just because it's on my brain, this past weekend, I 583 00:29:34,520 --> 00:29:38,320 Speaker 1: noticed that deer we're digging up winter green. And I've 584 00:29:38,360 --> 00:29:41,360 Speaker 1: seen that in years past. I've never see them really 585 00:29:41,360 --> 00:29:43,840 Speaker 1: eat that when there's not snow on the ground, and 586 00:29:43,840 --> 00:29:45,520 Speaker 1: I wonder if that's a product of that it has 587 00:29:45,560 --> 00:29:47,520 Speaker 1: an odor and they can smell it through the snow. 588 00:29:47,600 --> 00:29:51,400 Speaker 1: But I noticed this just this past weekend that areas 589 00:29:51,440 --> 00:29:53,800 Speaker 1: where there was winter green on the ground, the deer 590 00:29:53,840 --> 00:29:56,520 Speaker 1: had pought up and uh, you know, it almost looked 591 00:29:56,520 --> 00:29:58,479 Speaker 1: like they were in there just bulldoz and the stuff. 592 00:29:59,200 --> 00:30:01,480 Speaker 1: Obviously morning set ups can be a bit more challenging 593 00:30:01,520 --> 00:30:03,320 Speaker 1: this time of year. So what does a morning set 594 00:30:03,400 --> 00:30:06,520 Speaker 1: up look like for you in mid December? Yeah, I 595 00:30:06,600 --> 00:30:10,680 Speaker 1: like the late morning actually, it is probably my preferred time, 596 00:30:10,880 --> 00:30:14,480 Speaker 1: the or maybe the eight thirty to ten thirty window. 597 00:30:14,640 --> 00:30:19,080 Speaker 1: I feel like you're betting before daylight and they will 598 00:30:19,160 --> 00:30:22,680 Speaker 1: often get up and feed and you know, shift their 599 00:30:22,680 --> 00:30:25,400 Speaker 1: bed around there in the mid morning. So I like 600 00:30:25,520 --> 00:30:28,080 Speaker 1: that eight thirty to ten thirty and then obviously the 601 00:30:28,160 --> 00:30:31,640 Speaker 1: last hour of daylight is uh is probably your best 602 00:30:31,680 --> 00:30:33,760 Speaker 1: bet this time of year. But for me, it just 603 00:30:33,840 --> 00:30:38,760 Speaker 1: looks like getting into concentration of betting, being as quiet 604 00:30:38,800 --> 00:30:42,440 Speaker 1: as possible, and then just being prepared to sit in 605 00:30:42,520 --> 00:30:45,480 Speaker 1: there through the later part of the afternoon and hoping 606 00:30:45,520 --> 00:30:48,560 Speaker 1: to be able to capitalize on that late morning feeding 607 00:30:48,560 --> 00:30:50,480 Speaker 1: and when they you know, kind of shift their bed 608 00:30:50,560 --> 00:30:53,600 Speaker 1: for the rest of the day. Historically, do you see 609 00:30:53,680 --> 00:30:56,400 Speaker 1: much of a secondary rout in that part of the country, 610 00:30:56,400 --> 00:31:02,960 Speaker 1: whether it's chasing or signmaking in December? Absolutely, we I do. Uh. 611 00:31:03,080 --> 00:31:05,440 Speaker 1: We have a lot of deer here in Michigan. That's 612 00:31:05,480 --> 00:31:08,400 Speaker 1: one thing that we are very fortunate to have is 613 00:31:08,600 --> 00:31:13,360 Speaker 1: outstanding dear numbers, which usually means a lot of fawns 614 00:31:13,440 --> 00:31:16,200 Speaker 1: that are fawns, you know, a half year old deer 615 00:31:16,280 --> 00:31:20,520 Speaker 1: that are potentially coming into breeding for the first time, 616 00:31:20,760 --> 00:31:25,040 Speaker 1: and they often will do that in the December window. 617 00:31:25,200 --> 00:31:28,960 Speaker 1: So I have seen that before, where bucks are actively 618 00:31:29,480 --> 00:31:35,080 Speaker 1: harassing and chasing does around it. I usually see that typically, uh, 619 00:31:35,520 --> 00:31:37,920 Speaker 1: you know, about that four weeks after what I would 620 00:31:37,960 --> 00:31:40,280 Speaker 1: consider the peak of the rut here would be November 621 00:31:40,320 --> 00:31:45,560 Speaker 1: fifteenth here in Michigan, So around that December fifty window, 622 00:31:46,320 --> 00:31:48,680 Speaker 1: I have seen a lot of that, and late morning 623 00:31:48,800 --> 00:31:51,040 Speaker 1: as well. It seems like when the does are up 624 00:31:51,040 --> 00:31:53,320 Speaker 1: and feeding around that, I've seen a lot of bucks 625 00:31:53,400 --> 00:31:57,440 Speaker 1: up cruising and looking for them doing such. Does available 626 00:31:57,480 --> 00:31:59,840 Speaker 1: water factory in your decision making and all this time 627 00:32:00,080 --> 00:32:05,600 Speaker 1: or when things are starting to ice up, I can't 628 00:32:05,600 --> 00:32:07,880 Speaker 1: say that it is. I don't I don't think uh. 629 00:32:08,000 --> 00:32:10,920 Speaker 1: I think these deer can get a lot of hydration 630 00:32:11,040 --> 00:32:15,720 Speaker 1: just through their natural prows is full of has a 631 00:32:15,800 --> 00:32:19,000 Speaker 1: high percentage of water in it. So I don't think 632 00:32:19,000 --> 00:32:21,880 Speaker 1: they actually, given that they're not exerting a ton of 633 00:32:21,960 --> 00:32:25,840 Speaker 1: energy and that there is no heat factor for the 634 00:32:25,880 --> 00:32:28,400 Speaker 1: most part, that they can get what water they basically 635 00:32:28,400 --> 00:32:31,160 Speaker 1: need through their food going forward. Then in this next 636 00:32:31,160 --> 00:32:33,240 Speaker 1: week or so, what do you think that buck activity 637 00:32:33,280 --> 00:32:34,840 Speaker 1: is going to be on a scale of one to 638 00:32:34,920 --> 00:32:38,920 Speaker 1: ten in Michigan. Well, for the areas that haven't been harassed, 639 00:32:39,240 --> 00:32:43,280 Speaker 1: these deer out there, they're comfortable and they're going to 640 00:32:43,360 --> 00:32:45,960 Speaker 1: continue to need to feed. And so if we get 641 00:32:45,960 --> 00:32:49,440 Speaker 1: some colder temperatures, you will for sure see deer get 642 00:32:49,520 --> 00:32:53,680 Speaker 1: up earlier and earlier. But it doesn't look like we're 643 00:32:53,680 --> 00:32:56,280 Speaker 1: going to have that. It looks like we're going to 644 00:32:56,400 --> 00:33:00,480 Speaker 1: have average to above average temperatures here in late December, 645 00:33:00,840 --> 00:33:02,880 Speaker 1: So I would I would count I would count on 646 00:33:02,960 --> 00:33:05,400 Speaker 1: it being as about as low as possible. I mean, 647 00:33:05,800 --> 00:33:08,280 Speaker 1: one or two, anything can happen, But I just don't 648 00:33:08,320 --> 00:33:11,560 Speaker 1: see a reason why most gear are going to be 649 00:33:11,600 --> 00:33:15,960 Speaker 1: getting up and doing any kind of activity before before 650 00:33:16,040 --> 00:33:18,600 Speaker 1: under the cover of darkness. All right, Kevin, good luck 651 00:33:18,600 --> 00:33:21,880 Speaker 1: with the rest of your fall. Thanks for joining me. Thanks, 652 00:33:24,600 --> 00:33:27,160 Speaker 1: and that concludes this week's episode of Wired to Haunts 653 00:33:27,240 --> 00:33:30,560 Speaker 1: rot Fresh Radio. Thanks to Garrett, Josh Luke and Kevin 654 00:33:30,600 --> 00:33:32,880 Speaker 1: for joining me, and thank you guys for listening. And 655 00:33:32,920 --> 00:33:35,920 Speaker 1: as a reminder, our one week in November series keeps 656 00:33:35,960 --> 00:33:39,239 Speaker 1: going over on meat Eater's YouTube channel. Episode five just 657 00:33:39,320 --> 00:33:43,160 Speaker 1: came out yesterday, Episode six and seven will be out soon. 658 00:33:43,640 --> 00:33:46,920 Speaker 1: These might be our most action packed episodes yet, so 659 00:33:46,960 --> 00:33:48,680 Speaker 1: you're not going to want to miss them. I will 660 00:33:48,720 --> 00:33:51,400 Speaker 1: talk to you guys next week, and until then, stay 661 00:33:51,440 --> 00:33:52,120 Speaker 1: wired Haunt