1 00:00:01,440 --> 00:00:05,200 Speaker 1: Welcome to Wire to hunts rut Fresh Radio, bringing you 2 00:00:05,240 --> 00:00:08,559 Speaker 1: the latest reports from the White Tailed Woods and now 3 00:00:08,920 --> 00:00:15,080 Speaker 1: your host, Spencer new Hearth. Welcome to Wire to hunts 4 00:00:15,160 --> 00:00:18,040 Speaker 1: rot Fresh Radio powered by First Light. I am Spencer 5 00:00:18,079 --> 00:00:20,439 Speaker 1: new Hearth and this week's episode of rought Fresh is 6 00:00:20,480 --> 00:00:38,400 Speaker 1: all about beating that September ship. Welcome to Wire to 7 00:00:38,479 --> 00:00:42,520 Speaker 1: Hunt's rout Fresh Radio and joining me on the podcast 8 00:00:42,600 --> 00:00:45,480 Speaker 1: this week to set the table for our September fift 9 00:00:45,720 --> 00:00:48,960 Speaker 1: episode is not Mark Kenyon, but instead it is the 10 00:00:49,159 --> 00:00:52,000 Speaker 1: best damn public Land white tail hunter I know, and 11 00:00:52,040 --> 00:00:54,640 Speaker 1: I've been introducing him that way for probably the last 12 00:00:54,640 --> 00:00:57,400 Speaker 1: five years, and that is Tony Peterson. How you doing, Tony, 13 00:00:57,760 --> 00:01:00,520 Speaker 1: I'm doing well, buddy. Thanks for having me on man. Yeah, 14 00:01:00,560 --> 00:01:03,240 Speaker 1: And uh, the reason I have you on to intro 15 00:01:03,360 --> 00:01:05,800 Speaker 1: this week is because this coming weekend you're gonna be 16 00:01:05,800 --> 00:01:08,880 Speaker 1: heading to Wisconsin for their deer opener, and so I 17 00:01:08,920 --> 00:01:11,200 Speaker 1: want to talk to you in advance about what that 18 00:01:11,280 --> 00:01:14,560 Speaker 1: haunt is going to look like. Um. Now, knowing you 19 00:01:14,600 --> 00:01:19,040 Speaker 1: as a do Tony, you don't have always these traditional 20 00:01:19,480 --> 00:01:24,920 Speaker 1: textbook early season white tail setups where you're fifteen ft 21 00:01:24,920 --> 00:01:27,280 Speaker 1: of a tree, on the edge of a bean field 22 00:01:27,280 --> 00:01:30,280 Speaker 1: in September, like most hunters are. Um, so what are 23 00:01:30,319 --> 00:01:32,160 Speaker 1: some of the setups going to look like for you 24 00:01:32,200 --> 00:01:35,559 Speaker 1: this weekend in Wisconsin. Well, I'm you know, I'm taking 25 00:01:35,600 --> 00:01:38,160 Speaker 1: one of my nine year old twin daughters. So it's 26 00:01:38,200 --> 00:01:41,319 Speaker 1: this does not look like a typical early season hunt. 27 00:01:41,400 --> 00:01:45,000 Speaker 1: I mean, we've got I've got several blinds out and 28 00:01:45,280 --> 00:01:47,160 Speaker 1: I do have a couple that are playing right on 29 00:01:47,200 --> 00:01:51,880 Speaker 1: the food source edges, but most of them are kind 30 00:01:51,920 --> 00:01:56,280 Speaker 1: of built into some sort of travel route or staging area, 31 00:01:56,880 --> 00:01:59,560 Speaker 1: playing off somebody else's food sore. So you know, maybe 32 00:01:59,600 --> 00:02:02,520 Speaker 1: a disc bean field or alfalfa field or something. But 33 00:02:03,000 --> 00:02:05,160 Speaker 1: we'll we'll be set up mostly in the woods. And 34 00:02:05,280 --> 00:02:07,480 Speaker 1: I kind of did that because you know, with a 35 00:02:07,840 --> 00:02:10,760 Speaker 1: with a kid in school, we only get to hunt 36 00:02:10,880 --> 00:02:12,919 Speaker 1: Saturday and Sunday. I got you know, go over late 37 00:02:12,960 --> 00:02:14,919 Speaker 1: Friday night, come back Sunday night, and so we only 38 00:02:14,960 --> 00:02:17,200 Speaker 1: get four SIPs and I want to be able to 39 00:02:17,240 --> 00:02:20,600 Speaker 1: hunt those mornings. And so you know, it's typical field 40 00:02:20,600 --> 00:02:22,160 Speaker 1: that's set up, You're just not gonna hunt it in 41 00:02:22,240 --> 00:02:24,480 Speaker 1: the morning. And so I'm always looking for that opportunity 42 00:02:24,520 --> 00:02:26,520 Speaker 1: to get out there and sneak in and catch them 43 00:02:26,520 --> 00:02:28,680 Speaker 1: coming back from that food source before they go to bed. 44 00:02:29,120 --> 00:02:31,480 Speaker 1: So that's that's kind of how my setups look over there, 45 00:02:31,560 --> 00:02:34,080 Speaker 1: is you know, it's playing off those destination food sources, 46 00:02:34,120 --> 00:02:37,560 Speaker 1: but not necessarily right on top of them. I feel 47 00:02:37,600 --> 00:02:40,240 Speaker 1: like in the past that you've had a lot of 48 00:02:40,280 --> 00:02:43,120 Speaker 1: success hunting water this time of year. Is that going 49 00:02:43,160 --> 00:02:45,840 Speaker 1: to be a factor at all for this Wisconsin hunt? Nope, 50 00:02:46,800 --> 00:02:49,520 Speaker 1: even though you know other states are. You know, there's 51 00:02:49,560 --> 00:02:51,440 Speaker 1: a lot of drought going on and it's pretty dry 52 00:02:51,480 --> 00:02:53,320 Speaker 1: out there, and it would be a real good pattern 53 00:02:53,720 --> 00:02:57,120 Speaker 1: where we're at northern Wisconsin. There's water everywhere, and so 54 00:02:57,320 --> 00:03:02,200 Speaker 1: they're just it's just not the the top priority resource 55 00:03:02,280 --> 00:03:06,239 Speaker 1: over there because of just the abundance. And so we're 56 00:03:06,360 --> 00:03:09,760 Speaker 1: playing right off of food and travel this year. And 57 00:03:09,800 --> 00:03:12,040 Speaker 1: I know for this hunt and for other haunts, probably 58 00:03:12,080 --> 00:03:15,080 Speaker 1: for the next month, you're gonna be focused on staging areas. 59 00:03:15,280 --> 00:03:18,399 Speaker 1: How do you identify a staging area that you think 60 00:03:18,480 --> 00:03:21,880 Speaker 1: is going to be productive, especially in mid September, um, 61 00:03:21,919 --> 00:03:24,640 Speaker 1: you know, I'm just just walking in there. Part of 62 00:03:24,639 --> 00:03:27,440 Speaker 1: it goes back to the kind of march scouting as 63 00:03:27,480 --> 00:03:29,840 Speaker 1: a late winter scouting and identifying those spots with some 64 00:03:29,960 --> 00:03:31,960 Speaker 1: rubs and stuff. And then you know, I was just 65 00:03:32,040 --> 00:03:35,080 Speaker 1: in there last weekend looking around, just kind of finalizing 66 00:03:35,080 --> 00:03:38,160 Speaker 1: everything and started to see some rubs and started to 67 00:03:38,200 --> 00:03:41,240 Speaker 1: see some sign and you just kind of read it, go, Okay, well, 68 00:03:41,760 --> 00:03:45,240 Speaker 1: there's a there's an alfalfa field yards away from this spot, 69 00:03:45,240 --> 00:03:47,280 Speaker 1: and they got across the road. They're not gonna like that, 70 00:03:47,800 --> 00:03:49,800 Speaker 1: and so they're gonna probably do that in the dark. 71 00:03:50,040 --> 00:03:51,800 Speaker 1: So where are they going to set up to browse 72 00:03:51,880 --> 00:03:55,120 Speaker 1: around make these rubs? And you know, play off of 73 00:03:55,160 --> 00:03:58,160 Speaker 1: that that pattern a little bit. So it's always just 74 00:03:58,240 --> 00:04:00,520 Speaker 1: like where do they feel comfortable in the However, where 75 00:04:00,600 --> 00:04:04,280 Speaker 1: they laying down signed right now? And where can we 76 00:04:04,360 --> 00:04:06,720 Speaker 1: get in so we're not spooking them and getting too 77 00:04:06,720 --> 00:04:09,400 Speaker 1: close to the bedding or you know, when we're leaving 78 00:04:09,440 --> 00:04:11,200 Speaker 1: too close to the food source. And so it's kind 79 00:04:11,200 --> 00:04:13,400 Speaker 1: of like a it's a moving target. But you know, 80 00:04:13,440 --> 00:04:15,320 Speaker 1: when they start laying down sign, it gets the heck 81 00:04:15,360 --> 00:04:18,080 Speaker 1: of a lot easier. And they're doing that right now now. 82 00:04:18,240 --> 00:04:21,360 Speaker 1: Last question here, Tony um. You said one of your 83 00:04:21,440 --> 00:04:23,760 Speaker 1: nine year old twin daughters is coming with you to hunt. 84 00:04:23,760 --> 00:04:25,520 Speaker 1: What's wrong with the other one? Why why don't you 85 00:04:25,520 --> 00:04:27,920 Speaker 1: want to take her hunting? She gets next, she gets 86 00:04:27,960 --> 00:04:31,960 Speaker 1: the following weekends, so they get I have to split 87 00:04:32,000 --> 00:04:34,520 Speaker 1: them up otherwise it's just a little bit too much. 88 00:04:34,880 --> 00:04:37,719 Speaker 1: And so they go. My one daughter is gonna go 89 00:04:37,839 --> 00:04:39,880 Speaker 1: this weekend, and then my other daughter will go the 90 00:04:39,960 --> 00:04:43,000 Speaker 1: next weekend. So really, my first two weeks of the season, 91 00:04:43,040 --> 00:04:44,880 Speaker 1: all I'm gonna be doing is guiding nine year old 92 00:04:44,920 --> 00:04:47,680 Speaker 1: and we I'm so excited because we're hunting. We're hunting 93 00:04:47,800 --> 00:04:51,520 Speaker 1: legal deer, and we've got tags for everything. So nobody, 94 00:04:51,520 --> 00:04:54,600 Speaker 1: nobody unless they come in spotted, nobody's safe. And is 95 00:04:54,600 --> 00:04:57,000 Speaker 1: there a coin flip situation? You joined straws or how 96 00:04:57,040 --> 00:05:00,080 Speaker 1: do you determine who gets what weekend? So because of 97 00:05:00,080 --> 00:05:02,479 Speaker 1: how turkey season worked out for him, my one, my 98 00:05:02,520 --> 00:05:04,640 Speaker 1: one daughter killed the first night and the other one 99 00:05:05,000 --> 00:05:07,280 Speaker 1: she worked your tail off and didn't get one. So 100 00:05:07,400 --> 00:05:10,320 Speaker 1: she got the choice to be all right, am I 101 00:05:10,400 --> 00:05:12,880 Speaker 1: choosing to go first for the da here and play 102 00:05:12,920 --> 00:05:15,720 Speaker 1: that card? Or am I going later? And so she 103 00:05:15,720 --> 00:05:18,160 Speaker 1: she picked the first weekend because her her sister had 104 00:05:18,279 --> 00:05:21,280 Speaker 1: killed the big turkey last ring. All right, Well, that's 105 00:05:21,360 --> 00:05:24,480 Speaker 1: that's some hot tip on parenting that you don't normally 106 00:05:24,520 --> 00:05:27,839 Speaker 1: get on this podcast. UM. Now, the idea is Tony, 107 00:05:27,880 --> 00:05:29,800 Speaker 1: that I'm gonna talk to you next weekend. We're gonna 108 00:05:29,800 --> 00:05:33,000 Speaker 1: hear how that haunt went. Uh see if your predictions 109 00:05:33,080 --> 00:05:35,039 Speaker 1: and and what you think is going to happen on 110 00:05:35,080 --> 00:05:39,520 Speaker 1: this hunt came true. Um. Until then, we have some 111 00:05:39,600 --> 00:05:42,760 Speaker 1: reading material for our listeners that that you're included in 112 00:05:42,760 --> 00:05:45,800 Speaker 1: this list. This is stuff that's relevant for right now 113 00:05:45,960 --> 00:05:47,919 Speaker 1: to white tail hunters. So if if you like what 114 00:05:47,960 --> 00:05:50,320 Speaker 1: you're hearing on this podcast and you want more information, 115 00:05:50,400 --> 00:05:54,320 Speaker 1: check our description of the podcast. You're gonna find these 116 00:05:54,400 --> 00:05:56,880 Speaker 1: articles linked. And what we have is how Mark Jrewy 117 00:05:56,960 --> 00:05:59,640 Speaker 1: predicts buck movement based on win by Emily Kanner. That's 118 00:05:59,640 --> 00:06:01,840 Speaker 1: a really fascinating peace. And then we have how to 119 00:06:01,960 --> 00:06:04,600 Speaker 1: deer haunt big tracks of public land from Tony Peterson. 120 00:06:04,640 --> 00:06:07,599 Speaker 1: If if you're um in the South and you've got 121 00:06:07,600 --> 00:06:11,120 Speaker 1: some big, big forest area, if you're in the West 122 00:06:11,200 --> 00:06:13,640 Speaker 1: you've got some open grasslands, that's gonna be relevant for you. 123 00:06:13,760 --> 00:06:16,000 Speaker 1: And then Mark Kenyon's article on how to set up 124 00:06:16,040 --> 00:06:18,960 Speaker 1: a ground blind that won't spook deer, which I think 125 00:06:19,040 --> 00:06:21,640 Speaker 1: is relevant to a lot of September hunters, especially if 126 00:06:21,680 --> 00:06:26,000 Speaker 1: you're guy nag some nine year olds? Absolutely man, Awesome, 127 00:06:26,040 --> 00:06:27,960 Speaker 1: all right, Tony, what I'm gonna talk to you next week. 128 00:06:28,040 --> 00:06:29,760 Speaker 1: Good luck to you and your nine year old daughter 129 00:06:29,880 --> 00:06:33,599 Speaker 1: in Wisconsin. And thanks for joining me. Awesome, thanks buddy, 130 00:06:35,320 --> 00:06:37,200 Speaker 1: all right and joining us on the line. Next is 131 00:06:37,240 --> 00:06:40,599 Speaker 1: Brian Christner from not Can Release in Kentucky. Now, Brian 132 00:06:40,600 --> 00:06:42,840 Speaker 1: in Kentucky, what would you say the buck activity is 133 00:06:42,880 --> 00:06:45,320 Speaker 1: ben lately on a scale of one to ten. On 134 00:06:45,360 --> 00:06:47,279 Speaker 1: a scale one to ten, I would say it was 135 00:06:47,320 --> 00:06:51,039 Speaker 1: an eight. Everyone concentrates, it seems like on bean fields 136 00:06:51,040 --> 00:06:53,760 Speaker 1: and all that kind of stuff. As far as getting 137 00:06:53,800 --> 00:06:56,479 Speaker 1: to the food source, you know, and the way our 138 00:06:56,520 --> 00:07:00,520 Speaker 1: property has been set up, we actually really and traded 139 00:07:00,520 --> 00:07:04,159 Speaker 1: more on the woods. Um. We put mineral out and 140 00:07:05,240 --> 00:07:09,320 Speaker 1: trying to catch those bucks moving from bedding um to 141 00:07:09,440 --> 00:07:11,400 Speaker 1: the food source are back and forth, how you know, 142 00:07:11,800 --> 00:07:14,840 Speaker 1: mornings and evenings. We don't have the luxury of hunting 143 00:07:14,840 --> 00:07:18,560 Speaker 1: a massive property or properties only about two acres and 144 00:07:18,600 --> 00:07:20,920 Speaker 1: with you know, three of us hunting it, it's it's 145 00:07:21,200 --> 00:07:25,360 Speaker 1: kind of slim picking. But the buck activity this last 146 00:07:25,400 --> 00:07:28,440 Speaker 1: week when we were there was they were all bat 147 00:07:28,520 --> 00:07:31,760 Speaker 1: shirt up pretty good. Um. Still my father in law 148 00:07:31,840 --> 00:07:36,320 Speaker 1: had four year four bucks that shirt up together religiously 149 00:07:36,440 --> 00:07:39,600 Speaker 1: coming to the same areas. I too had a couple 150 00:07:39,600 --> 00:07:42,400 Speaker 1: of my wife had, you know, a couple of hers 151 00:07:42,720 --> 00:07:45,760 Speaker 1: all bat shirt up still and the activity was it 152 00:07:45,840 --> 00:07:48,960 Speaker 1: was good, it was. It was really impressive in the woods. 153 00:07:49,160 --> 00:07:51,600 Speaker 1: Um as far as our bean fields and everything went, 154 00:07:52,240 --> 00:07:55,480 Speaker 1: not a lot. It was interesting. We we didn't see 155 00:07:55,520 --> 00:07:57,760 Speaker 1: a lot of action in the in the beans itself. 156 00:07:58,240 --> 00:07:59,960 Speaker 1: So how close to the bedding do you think you're 157 00:08:00,000 --> 00:08:02,679 Speaker 1: actually hunting right now? I would say we were within 158 00:08:03,560 --> 00:08:07,520 Speaker 1: a hundred two yards of the betting some thick areas 159 00:08:07,520 --> 00:08:10,920 Speaker 1: where then opened up to more hardwood areas. A lot 160 00:08:10,920 --> 00:08:13,160 Speaker 1: of the activity that we were getting on the beans 161 00:08:13,160 --> 00:08:17,280 Speaker 1: were one am two am, so we we were we 162 00:08:17,280 --> 00:08:19,559 Speaker 1: were saying within within a hundred yards of the betting. 163 00:08:20,160 --> 00:08:22,240 Speaker 1: That's where we we would catch these deer in the 164 00:08:22,280 --> 00:08:26,560 Speaker 1: evenings headed towards the beans, but by the time they 165 00:08:26,560 --> 00:08:29,360 Speaker 1: actually made their way down in the beans, it was 166 00:08:29,680 --> 00:08:32,480 Speaker 1: after dark eight o'clock a thirty and then they would 167 00:08:32,480 --> 00:08:35,160 Speaker 1: stay there and feed throughout the night. Do water sources 168 00:08:35,160 --> 00:08:37,440 Speaker 1: factory in the early season set ups at all? We 169 00:08:37,559 --> 00:08:39,800 Speaker 1: have a lot of water on the property. Actually we 170 00:08:39,840 --> 00:08:43,080 Speaker 1: have several creeks running through the property. So I'd say 171 00:08:43,760 --> 00:08:46,880 Speaker 1: that's one of the big pros for us. UM. We 172 00:08:47,000 --> 00:08:49,400 Speaker 1: don't we really don't have a lot of issues with water, 173 00:08:50,080 --> 00:08:52,640 Speaker 1: um then finding water, so we we set up along 174 00:08:52,800 --> 00:08:57,320 Speaker 1: creek bottoms. Um. We're Tiffany, my wife shot her buck 175 00:08:57,400 --> 00:09:02,040 Speaker 1: this last week. It was about eight yards from the creek. 176 00:09:02,760 --> 00:09:04,640 Speaker 1: Tell us more about that set up. When your wife 177 00:09:04,720 --> 00:09:08,120 Speaker 1: killed that buck on September five, so Spember five. She 178 00:09:08,360 --> 00:09:11,280 Speaker 1: we set that set up. Uh, this past summer in June, 179 00:09:11,280 --> 00:09:14,640 Speaker 1: we set that couple hang on in the middle of 180 00:09:14,679 --> 00:09:17,720 Speaker 1: the woods. Literally, it's we knew they were betting up 181 00:09:17,720 --> 00:09:20,640 Speaker 1: on the ridge and and the neighbor's property. The neighbor's 182 00:09:20,679 --> 00:09:22,880 Speaker 1: property is real thick. And what they would do. They 183 00:09:22,880 --> 00:09:25,439 Speaker 1: filtered down through this this hard woods and we were 184 00:09:25,440 --> 00:09:28,280 Speaker 1: in a pretty thick area we cleared, but we knew 185 00:09:28,320 --> 00:09:32,200 Speaker 1: they would come through there. And Uh again that area 186 00:09:32,320 --> 00:09:36,319 Speaker 1: had no no beans near it or anything. The closest 187 00:09:36,320 --> 00:09:39,480 Speaker 1: bean field would be a good Uh it's a nine 188 00:09:39,559 --> 00:09:42,760 Speaker 1: hundred yards um. But they always walked through these woods. 189 00:09:42,840 --> 00:09:45,600 Speaker 1: And we cleared an area, small area almost like we 190 00:09:45,760 --> 00:09:48,800 Speaker 1: call it an ambush area kind of. They come through there. 191 00:09:48,840 --> 00:09:51,719 Speaker 1: It was on a good deer deer path, and we 192 00:09:51,800 --> 00:09:53,960 Speaker 1: put our mineral out there, and it was kind of 193 00:09:54,000 --> 00:09:57,680 Speaker 1: a routine. These bucks were coming through and that second 194 00:09:57,679 --> 00:10:01,920 Speaker 1: morning she uh, but second that evening hunt that's on 195 00:10:01,960 --> 00:10:04,720 Speaker 1: that second day she ended up. You know, she had 196 00:10:04,840 --> 00:10:06,960 Speaker 1: had to choose, you know, she got to choose between 197 00:10:07,200 --> 00:10:11,040 Speaker 1: two really good bucks and uh ended up getting it done. 198 00:10:11,040 --> 00:10:13,160 Speaker 1: Then where are you running a lot of your trail 199 00:10:13,200 --> 00:10:16,880 Speaker 1: cameras right now? Mainly our woods just on paths. We 200 00:10:17,000 --> 00:10:20,679 Speaker 1: lease our properties. So the farmer made a perimeter road 201 00:10:20,760 --> 00:10:24,080 Speaker 1: around the property actually, so we actually took advantage of 202 00:10:24,080 --> 00:10:26,920 Speaker 1: that and we set up on these you know a road. 203 00:10:26,960 --> 00:10:29,199 Speaker 1: When I say that road, it's not like us nice 204 00:10:29,360 --> 00:10:32,199 Speaker 1: gravel road, and I think it's just play and he 205 00:10:32,360 --> 00:10:35,760 Speaker 1: just cleared it. Um, So we set up off these roads. 206 00:10:35,760 --> 00:10:37,600 Speaker 1: A lot of guys set up on the roads and 207 00:10:37,640 --> 00:10:40,160 Speaker 1: they you know, they're looking, you know, they want to 208 00:10:40,160 --> 00:10:42,200 Speaker 1: see the whole road and see what's coming down there. 209 00:10:42,480 --> 00:10:46,120 Speaker 1: We actually went about thirty yards back in and to 210 00:10:46,240 --> 00:10:49,640 Speaker 1: where these deer are coming right down the road and 211 00:10:49,760 --> 00:10:51,360 Speaker 1: you know they're not looking to their left, which the 212 00:10:51,360 --> 00:10:53,280 Speaker 1: reds are kind of looking down the main road too. 213 00:10:53,520 --> 00:10:56,600 Speaker 1: So that's where our main focus was this last trip 214 00:10:56,800 --> 00:10:59,760 Speaker 1: was the woods and where we set it up. Our 215 00:11:00,000 --> 00:11:02,000 Speaker 1: cameras was there. Don't get me wrong, we had our 216 00:11:02,040 --> 00:11:05,520 Speaker 1: cameras on the field and that did help. I mean 217 00:11:05,720 --> 00:11:08,640 Speaker 1: it showed us what was on the field. But again 218 00:11:08,880 --> 00:11:12,600 Speaker 1: it's it was so hard to pattern those deers, the 219 00:11:12,720 --> 00:11:14,880 Speaker 1: deer on the beans because it was in the middle 220 00:11:14,920 --> 00:11:18,439 Speaker 1: of the night half the time. Um so yeah, I'd 221 00:11:18,480 --> 00:11:20,440 Speaker 1: say our our craft cameras were definitely running in the 222 00:11:20,440 --> 00:11:24,520 Speaker 1: woods of the time. Going forward, then it is next 223 00:11:24,520 --> 00:11:26,280 Speaker 1: speak or so, what do you think that bucket QVT 224 00:11:26,440 --> 00:11:27,880 Speaker 1: is going to be on a scale of one to 225 00:11:27,960 --> 00:11:32,320 Speaker 1: ten In Kentucky opening weeks always great. Again, I rated 226 00:11:32,280 --> 00:11:35,960 Speaker 1: it last an eight. I would say for our area 227 00:11:36,200 --> 00:11:39,880 Speaker 1: we're in Monroe County, which is like south central, I 228 00:11:39,880 --> 00:11:43,240 Speaker 1: would say it's more going to be like this seven, seven, 229 00:11:44,040 --> 00:11:48,000 Speaker 1: six or seven, just because of you know, with us 230 00:11:48,080 --> 00:11:51,720 Speaker 1: being you know an our area and the activity that 231 00:11:51,720 --> 00:11:54,560 Speaker 1: we talked to neighboring farms and neighbors and they know 232 00:11:54,679 --> 00:11:57,280 Speaker 1: we've seen a lot of Bachelord groups break off from 233 00:11:57,360 --> 00:12:00,640 Speaker 1: being in groups. But then it just said, I think 234 00:12:00,640 --> 00:12:03,040 Speaker 1: it all depends on where you're at. How much pressure 235 00:12:03,080 --> 00:12:05,880 Speaker 1: these deer get um. We had a lot of deer 236 00:12:05,920 --> 00:12:08,800 Speaker 1: that are that are hard horned already and still have 237 00:12:08,920 --> 00:12:13,439 Speaker 1: full velvet um, so I would say I'd say sorry, Arian, 238 00:12:13,480 --> 00:12:16,080 Speaker 1: Monroe County, Kentucky. Was would be a six for us 239 00:12:16,160 --> 00:12:18,439 Speaker 1: next week. The weather is supposed to be good, so 240 00:12:18,679 --> 00:12:21,520 Speaker 1: I just gotta get out there and try. All right, Brian, 241 00:12:21,559 --> 00:12:23,800 Speaker 1: congrats your wife Tiffany on that great buck. Good luck 242 00:12:23,840 --> 00:12:25,440 Speaker 1: with the rest of your season, and thanks for joining me. 243 00:12:26,160 --> 00:12:29,280 Speaker 1: I appreciate it joining us online. Next is David g 244 00:12:29,520 --> 00:12:32,240 Speaker 1: Rizzo in North Dakota from Tagg and Bregg now David 245 00:12:32,280 --> 00:12:34,520 Speaker 1: in North Dakota. What would you say the buck activity 246 00:12:34,520 --> 00:12:37,400 Speaker 1: has been lately on a scale of one to ten. Honestly, 247 00:12:37,440 --> 00:12:40,320 Speaker 1: I would probably say the buck activity has been about 248 00:12:40,320 --> 00:12:43,679 Speaker 1: a three. UM. I think just coming out of this 249 00:12:43,760 --> 00:12:47,880 Speaker 1: new moon and the weather being very very staggned it 250 00:12:48,000 --> 00:12:49,800 Speaker 1: up there. They're they're in a drought or we're in 251 00:12:49,960 --> 00:12:53,160 Speaker 1: drought right now up here in Um. The weather it's 252 00:12:53,200 --> 00:12:57,400 Speaker 1: just been you know, up for seventies, low eighties, not 253 00:12:57,480 --> 00:13:00,240 Speaker 1: getting real cool at night. There's not much of a 254 00:13:00,280 --> 00:13:03,320 Speaker 1: weather change over the past week or so, and that's 255 00:13:03,360 --> 00:13:06,400 Speaker 1: made the hunting really tough. The mature bucks, for sure, 256 00:13:06,800 --> 00:13:10,480 Speaker 1: have been very nocturnal, not a lot of morning movement. 257 00:13:10,559 --> 00:13:13,080 Speaker 1: We kind of base where we're hunting on the morning 258 00:13:13,120 --> 00:13:16,200 Speaker 1: movement or at least the close to daylight movement in 259 00:13:16,200 --> 00:13:19,600 Speaker 1: the morning that we observe on cameras, and it just 260 00:13:19,720 --> 00:13:22,200 Speaker 1: really hasn't been there. So I'd say probably about a 261 00:13:22,280 --> 00:13:25,400 Speaker 1: three at the highest right now. Now, you just killed 262 00:13:25,440 --> 00:13:28,040 Speaker 1: a giant in North Dakota, big five by four that 263 00:13:28,040 --> 00:13:31,959 Speaker 1: you can see at team Tagging Briggs Instagram. David tell 264 00:13:32,000 --> 00:13:33,760 Speaker 1: us about that hunt and how that went down while 265 00:13:33,800 --> 00:13:35,320 Speaker 1: you were in that area and why that buck was 266 00:13:35,360 --> 00:13:38,480 Speaker 1: in that spot. You know what it was. It's kind 267 00:13:38,520 --> 00:13:41,520 Speaker 1: of crazy, well, something a little unusual for this time 268 00:13:41,559 --> 00:13:43,880 Speaker 1: of year. It was a buck that we had never 269 00:13:44,000 --> 00:13:46,600 Speaker 1: seen before. We've had cameras up here in North Dakota 270 00:13:46,640 --> 00:13:49,559 Speaker 1: for about a month or so and have not seen 271 00:13:49,600 --> 00:13:53,600 Speaker 1: this buck yet. But the corn up here, being that 272 00:13:53,640 --> 00:13:56,480 Speaker 1: there is a drought this year, is very short, so 273 00:13:56,559 --> 00:13:58,400 Speaker 1: a lot of the farmers are cutting it right now 274 00:13:58,440 --> 00:14:01,960 Speaker 1: for silage. And there was two different corn fields within 275 00:14:02,000 --> 00:14:05,920 Speaker 1: a mile of this particular spot that got cut um 276 00:14:05,960 --> 00:14:09,880 Speaker 1: within twenty four hours. And that this buck that I 277 00:14:09,960 --> 00:14:12,440 Speaker 1: shot showed off on camera at seven thirty in the 278 00:14:12,480 --> 00:14:15,320 Speaker 1: morning in daylight. Once again, that's kind of what we 279 00:14:15,480 --> 00:14:19,840 Speaker 1: bank our hunting efforts on up there, especially this time 280 00:14:19,880 --> 00:14:22,720 Speaker 1: of year, because normally when you see a buck in 281 00:14:22,800 --> 00:14:26,080 Speaker 1: daylight in the morning or close to daylight in the morning, 282 00:14:26,160 --> 00:14:29,040 Speaker 1: he's betting close. There's a good chance you get eyes 283 00:14:29,080 --> 00:14:31,160 Speaker 1: on him or get close to him in the afternoon, 284 00:14:31,280 --> 00:14:33,960 Speaker 1: and that's uh. You know, we're fortunate to be in 285 00:14:33,960 --> 00:14:36,600 Speaker 1: the right spot at the right time. Took advantage of 286 00:14:36,600 --> 00:14:40,640 Speaker 1: that opportunity and on a slow hunting week for us, 287 00:14:41,120 --> 00:14:43,440 Speaker 1: it paid off and we're going home with a buck 288 00:14:43,440 --> 00:14:45,840 Speaker 1: in the truck. Now. You mentioned that you've been running 289 00:14:45,840 --> 00:14:48,080 Speaker 1: trail cameras there for the last month. Where are those 290 00:14:48,120 --> 00:14:51,440 Speaker 1: trail cameras set up in the early season, so we're 291 00:14:51,480 --> 00:14:53,800 Speaker 1: set up, we try and get as close as we can. 292 00:14:54,120 --> 00:14:57,400 Speaker 1: You know, two known betting areas that we've um me 293 00:14:57,600 --> 00:15:00,480 Speaker 1: that we've experienced in the past, and putting them on 294 00:15:00,520 --> 00:15:02,120 Speaker 1: the edge of the beans. And I think that's one 295 00:15:02,160 --> 00:15:06,600 Speaker 1: of the other reasons where why the movement shifted so much, 296 00:15:06,640 --> 00:15:09,080 Speaker 1: because over the last week and a half that we've 297 00:15:09,120 --> 00:15:11,960 Speaker 1: been up here, the beans have gone from green to 298 00:15:12,320 --> 00:15:16,440 Speaker 1: defoliating very quickly just because of the dry weather, So 299 00:15:17,120 --> 00:15:19,400 Speaker 1: the bucks aren't feeding on the beams as much and 300 00:15:19,400 --> 00:15:22,440 Speaker 1: we've had to shift to three rows. We're actually seeing 301 00:15:22,480 --> 00:15:26,000 Speaker 1: a lot of scrapes top up, which is kind of unusual, 302 00:15:26,040 --> 00:15:28,480 Speaker 1: and we haven't seen that as much in the years 303 00:15:28,520 --> 00:15:30,280 Speaker 1: that we've been hunting up here in the past, at 304 00:15:30,320 --> 00:15:34,120 Speaker 1: least this time of year. So we've moved our trail 305 00:15:34,200 --> 00:15:39,120 Speaker 1: cameras to scrapes. That's worked out to get box on camera, 306 00:15:39,240 --> 00:15:42,640 Speaker 1: but still the daylight activity has been few and far between. 307 00:15:43,760 --> 00:15:45,920 Speaker 1: You mentioned a few times that it's very dry right 308 00:15:45,920 --> 00:15:47,800 Speaker 1: now in the area. Has been in the drought. Has 309 00:15:47,880 --> 00:15:52,480 Speaker 1: water factored Indian evir setups then this year, Oh absolutely, 310 00:15:52,600 --> 00:15:57,480 Speaker 1: you almost you have to be near water because the bucks, 311 00:15:57,560 --> 00:15:59,760 Speaker 1: if they're not betting in the corn, they're betting in 312 00:15:59,800 --> 00:16:02,920 Speaker 1: the attails lose close to water, and a lot of 313 00:16:02,960 --> 00:16:06,360 Speaker 1: the slews that normally hold water, that are maybe like 314 00:16:06,760 --> 00:16:10,120 Speaker 1: a quarter acre to an acre or even a couple acres, 315 00:16:10,480 --> 00:16:15,000 Speaker 1: are completely dried up. So the bigger lakes and cattails 316 00:16:15,080 --> 00:16:18,200 Speaker 1: lose are the only things that are holding water, and 317 00:16:18,280 --> 00:16:21,240 Speaker 1: it's it's kind of centralized the deer movement, which has 318 00:16:21,240 --> 00:16:25,040 Speaker 1: been nice. Um and it's and it's since we put 319 00:16:25,040 --> 00:16:27,640 Speaker 1: the trail cameras out there about a month ago, we 320 00:16:27,720 --> 00:16:30,200 Speaker 1: started getting a ton of pictures right off the bat 321 00:16:30,280 --> 00:16:34,560 Speaker 1: because of it, because we kind of centralized around the water. Um. 322 00:16:34,800 --> 00:16:37,440 Speaker 1: But you know, like I said, the daylight activity just 323 00:16:37,720 --> 00:16:39,760 Speaker 1: hadn't been there over the last week, and I think 324 00:16:39,800 --> 00:16:43,080 Speaker 1: the weather has played a big part in that. Now, 325 00:16:43,200 --> 00:16:45,160 Speaker 1: for as long as I have known you and your brother, 326 00:16:45,240 --> 00:16:48,080 Speaker 1: you guys have made trips to North Dakota in early 327 00:16:48,160 --> 00:16:51,120 Speaker 1: September in that time period. By now, have you picked 328 00:16:51,160 --> 00:16:53,440 Speaker 1: up on some historical patterns and how did those factory 329 00:16:53,480 --> 00:16:56,560 Speaker 1: into your setups when you come back each year. Yeah, 330 00:16:56,640 --> 00:17:00,240 Speaker 1: there's definitely those go to spots that we have. Like 331 00:17:00,280 --> 00:17:03,080 Speaker 1: I said, you got those so, I mean we call 332 00:17:03,160 --> 00:17:05,920 Speaker 1: them like buck palaces, the cat tails, slews, or the 333 00:17:06,760 --> 00:17:12,880 Speaker 1: specific betting areas that we focus on and anything that 334 00:17:13,200 --> 00:17:17,840 Speaker 1: revolves around cover. If beans meet the cover, it's you're 335 00:17:17,920 --> 00:17:20,359 Speaker 1: normally a good area. You add water into the mix 336 00:17:20,400 --> 00:17:23,640 Speaker 1: and you can almost guarantee that you're gonna have deer there. 337 00:17:23,640 --> 00:17:26,719 Speaker 1: But the biggest thing is trying to glass and find 338 00:17:26,760 --> 00:17:30,040 Speaker 1: the deer, because once you find, you know one to 339 00:17:30,240 --> 00:17:34,119 Speaker 1: a couple of different box Normally, you know, deer attract 340 00:17:34,160 --> 00:17:38,320 Speaker 1: deer um, so we centralized and focus on those areas, 341 00:17:38,520 --> 00:17:41,520 Speaker 1: and you know, we've definitely found a pattern, like I said, 342 00:17:41,520 --> 00:17:45,440 Speaker 1: where the beans, meat, to cover and water is. I mean, 343 00:17:45,560 --> 00:17:48,080 Speaker 1: those are dynamite spots for us to set up. And 344 00:17:48,359 --> 00:17:50,960 Speaker 1: when we're setting up trail cameras, you know, a couple 345 00:17:50,960 --> 00:17:53,720 Speaker 1: of weeks before the season, that's really where we focus. 346 00:17:54,160 --> 00:17:58,560 Speaker 1: And then based on that trail camera knowledge or the 347 00:17:58,680 --> 00:18:01,080 Speaker 1: or the information that we're getting, we kind of make 348 00:18:01,119 --> 00:18:04,679 Speaker 1: our our shifts accordingly from there going forward. Then in 349 00:18:04,680 --> 00:18:06,199 Speaker 1: this next week or so, what do you think that 350 00:18:06,240 --> 00:18:08,119 Speaker 1: Buck ACTV is going to be on a scale of 351 00:18:08,160 --> 00:18:12,400 Speaker 1: one to ten in North Dakota. Honestly, I would say 352 00:18:12,400 --> 00:18:16,400 Speaker 1: probably a four, because looking at the forecast, it's gonna 353 00:18:16,400 --> 00:18:18,760 Speaker 1: be in the eighties all week. I think the only 354 00:18:18,800 --> 00:18:21,919 Speaker 1: benefit right now is gonna be the last couple of 355 00:18:21,960 --> 00:18:24,359 Speaker 1: days of the Red Moon. I shot my buck on 356 00:18:24,400 --> 00:18:26,440 Speaker 1: the second day of the Red Moon. We got a 357 00:18:26,480 --> 00:18:29,080 Speaker 1: couple more days left. I think the early portion of 358 00:18:29,080 --> 00:18:31,359 Speaker 1: this week is going to be the best plunning of 359 00:18:31,400 --> 00:18:35,520 Speaker 1: the week. And there's rain coming in later this afternoon, 360 00:18:35,640 --> 00:18:39,720 Speaker 1: which in the past you get a rainstorm, and you've 361 00:18:39,720 --> 00:18:42,440 Speaker 1: got a couple of hours where that rainstorm moves out 362 00:18:42,480 --> 00:18:45,160 Speaker 1: in the afternoon and and the sun peeks back out 363 00:18:45,160 --> 00:18:49,040 Speaker 1: in the afternoon. Those are magical, magical days. The deer 364 00:18:49,080 --> 00:18:52,040 Speaker 1: want to get up, shake themselves off, dry off, and 365 00:18:52,080 --> 00:18:55,760 Speaker 1: they typically start feeding pretty early during that, you know, 366 00:18:55,840 --> 00:19:00,480 Speaker 1: during those specific days. So I think today is gonna 367 00:19:00,520 --> 00:19:02,840 Speaker 1: be the best day of the week. Um, But as 368 00:19:02,880 --> 00:19:05,120 Speaker 1: the week goes on, I I honestly think it's gonna 369 00:19:05,119 --> 00:19:07,679 Speaker 1: get just worse and worse hunting wise, because it's going 370 00:19:07,720 --> 00:19:10,879 Speaker 1: to go back to that stagnant weather, and you know, 371 00:19:10,920 --> 00:19:14,199 Speaker 1: the buck movement, especially the mature buck movement, is probably 372 00:19:14,200 --> 00:19:17,440 Speaker 1: gonna be subdued because of it. All Right, David, congrats 373 00:19:17,480 --> 00:19:19,280 Speaker 1: again on the great buck. Good luck with the rest 374 00:19:19,280 --> 00:19:21,640 Speaker 1: of your season, and thanks for joining me. Thanks Bence, 375 00:19:21,840 --> 00:19:24,720 Speaker 1: I appreciate it alright, and joining us on the line. 376 00:19:24,760 --> 00:19:27,879 Speaker 1: Next is Taylor Chamberlain from the Hunt Urban YouTube channel 377 00:19:28,080 --> 00:19:30,600 Speaker 1: in Virginia. Now Taylor in Virginia, what would you say 378 00:19:30,640 --> 00:19:32,880 Speaker 1: the buck activities been lately? On a scale of one 379 00:19:32,920 --> 00:19:35,960 Speaker 1: to ten skill one to ten, I'd put buck activity 380 00:19:36,040 --> 00:19:40,199 Speaker 1: at a solid seven to an eight. Um, I'm seeing 381 00:19:40,240 --> 00:19:43,720 Speaker 1: deer on their feet a ton right now. They're hitting 382 00:19:43,760 --> 00:19:48,000 Speaker 1: food sources. We've got the first bit of acorn trees, 383 00:19:48,040 --> 00:19:51,760 Speaker 1: white oaks that they're starting to drop um and that mass, 384 00:19:51,840 --> 00:19:53,639 Speaker 1: as soon as it hits the ground around here is 385 00:19:53,680 --> 00:19:57,000 Speaker 1: just getting gobbled up. So on top of that, we've 386 00:19:57,040 --> 00:20:01,440 Speaker 1: had a large weather system push for push through. We've 387 00:20:01,440 --> 00:20:05,879 Speaker 1: had traditionally much cooler temperatures than we normally get, so 388 00:20:05,960 --> 00:20:08,800 Speaker 1: the deer on their feet, they're on their feet longer 389 00:20:08,840 --> 00:20:12,639 Speaker 1: in the morning hours and also up much earlier in 390 00:20:12,640 --> 00:20:15,840 Speaker 1: the afternoons, and even seeing really good midday movement. The 391 00:20:15,920 --> 00:20:18,840 Speaker 1: last you know, five to eight days have just been 392 00:20:19,320 --> 00:20:22,639 Speaker 1: exceptional as far as deer movement, both in the field 393 00:20:22,640 --> 00:20:25,600 Speaker 1: and also on my cameras that I'm seeing, so uh, 394 00:20:25,800 --> 00:20:29,760 Speaker 1: it's been really really good. Besides acorns, what other food 395 00:20:29,800 --> 00:20:34,000 Speaker 1: sources are relevant for white tails in those urban environments, Well, 396 00:20:34,040 --> 00:20:36,720 Speaker 1: I mean deer around here in in any urban environment 397 00:20:36,720 --> 00:20:40,480 Speaker 1: where you have a larger population of white tail um, 398 00:20:40,560 --> 00:20:44,360 Speaker 1: they tend to be, you know, eating at any opportunity 399 00:20:44,400 --> 00:20:48,760 Speaker 1: they can. We see a lot of deer eating shrubs, plants, 400 00:20:49,640 --> 00:20:53,640 Speaker 1: hostas anything that's palatable for them, which is why when 401 00:20:53,640 --> 00:20:57,480 Speaker 1: the acorns start dropping, or maybe some symmeon trees. Any 402 00:20:57,600 --> 00:21:01,040 Speaker 1: any tree or plant that has off mast on it. 403 00:21:01,720 --> 00:21:03,800 Speaker 1: As soon as that's ripe and hitting the ground, the 404 00:21:03,800 --> 00:21:06,520 Speaker 1: deer just gonna crush it. The only thing that they 405 00:21:06,560 --> 00:21:09,280 Speaker 1: don't like, or you know, the red oaks, which they 406 00:21:09,280 --> 00:21:11,560 Speaker 1: will eat. I kind of equate those to like taco 407 00:21:11,640 --> 00:21:15,200 Speaker 1: bell at two o'clock in the morning right now, where um, 408 00:21:15,640 --> 00:21:18,960 Speaker 1: it's something that's palatable, but you're gonna regret it later. 409 00:21:19,040 --> 00:21:21,240 Speaker 1: And the deer with all those tannins in it, I 410 00:21:21,320 --> 00:21:23,280 Speaker 1: think it as upsets their stomach for a little bit. 411 00:21:23,320 --> 00:21:26,440 Speaker 1: That's why they tend to find those white oaks, orny 412 00:21:26,480 --> 00:21:30,040 Speaker 1: type of apple tree for cemetree more palatable. You mentioned 413 00:21:30,080 --> 00:21:32,480 Speaker 1: that your trail cameras have been lighting up lately. Where 414 00:21:32,480 --> 00:21:36,600 Speaker 1: are your trail cameras running in early September? So early September, 415 00:21:36,600 --> 00:21:40,199 Speaker 1: they're all on food sources. Uh, any oak tree in 416 00:21:40,280 --> 00:21:43,280 Speaker 1: the you can kind of tell it looks like turkeys 417 00:21:43,320 --> 00:21:47,760 Speaker 1: scratching on the leaves. Um pretty easy to spot the 418 00:21:47,800 --> 00:21:50,880 Speaker 1: trails that are coming in and out of those food areas, 419 00:21:50,880 --> 00:21:53,760 Speaker 1: So I like to have them rate where the trail 420 00:21:54,320 --> 00:21:57,280 Speaker 1: is kind of entering the feeding area. I don't like 421 00:21:57,359 --> 00:22:01,200 Speaker 1: to have a ton of just feeding pictures because I 422 00:22:01,359 --> 00:22:05,200 Speaker 1: just I don't need, you know, thtures of those feeding 423 00:22:05,200 --> 00:22:07,160 Speaker 1: on acorns. I want to see what's coming and going. 424 00:22:07,600 --> 00:22:09,840 Speaker 1: But I like to have a camera kind of parallel 425 00:22:10,320 --> 00:22:13,199 Speaker 1: to where that trail is entering rather than have a 426 00:22:13,240 --> 00:22:15,199 Speaker 1: picture of a dear head on because I find that 427 00:22:15,240 --> 00:22:18,399 Speaker 1: the bucks will like to enter on a slightly different 428 00:22:18,440 --> 00:22:21,560 Speaker 1: parallel trail from where those dose are coming into a 429 00:22:21,600 --> 00:22:24,880 Speaker 1: food source, and so if I can have a little 430 00:22:24,880 --> 00:22:27,639 Speaker 1: bit of topography there or just kind of take a 431 00:22:27,680 --> 00:22:31,160 Speaker 1: picture where I'm shooting across the parallel trails, that's where 432 00:22:31,200 --> 00:22:34,280 Speaker 1: I find the best trail camera locations to be on 433 00:22:34,320 --> 00:22:38,000 Speaker 1: those white oak flats. What's the status of bachelor groups 434 00:22:38,080 --> 00:22:42,240 Speaker 1: and bucks in Velvet right now in Virginia? I'd say 435 00:22:42,240 --> 00:22:47,520 Speaker 1: about eighty five bucks are no longer involved. Drive around 436 00:22:47,600 --> 00:22:53,120 Speaker 1: last night doing some scouting, I saw um multiple bachelor groups, 437 00:22:53,160 --> 00:22:56,439 Speaker 1: and I still have pictures on camera of baschular groups, 438 00:22:56,480 --> 00:22:59,440 Speaker 1: so I think there's just now getting ready to break up. 439 00:23:00,240 --> 00:23:02,240 Speaker 1: For the most part, I'd say the majority of bucks 440 00:23:02,280 --> 00:23:04,840 Speaker 1: are in bachelor groups, with the exception of a couple 441 00:23:04,920 --> 00:23:08,920 Speaker 1: of big mature dear that I've seen out on their own, 442 00:23:08,960 --> 00:23:11,560 Speaker 1: but at the same time last night and a couple 443 00:23:11,600 --> 00:23:14,800 Speaker 1: of batchelor groups, I saw um some big mature deer 444 00:23:14,880 --> 00:23:17,840 Speaker 1: in those groups. So I think that the majority of 445 00:23:17,920 --> 00:23:20,720 Speaker 1: deer are still in bachelor groups, but they're coming out 446 00:23:20,720 --> 00:23:23,320 Speaker 1: of velvet. Very few are still in velvet, and they 447 00:23:23,320 --> 00:23:26,800 Speaker 1: should be breaking off and going into a less traditional 448 00:23:26,880 --> 00:23:30,879 Speaker 1: summer feeding pattern any day now. Taylor, I know you 449 00:23:30,920 --> 00:23:34,360 Speaker 1: do almost all mobile running gun setups. How does your 450 00:23:34,400 --> 00:23:37,720 Speaker 1: gear list or your setups change in early season versus 451 00:23:37,760 --> 00:23:41,080 Speaker 1: October or November or December. Well, right now, I mean, 452 00:23:41,160 --> 00:23:44,719 Speaker 1: I'm I'm going in as light as possible, so I uh, 453 00:23:44,760 --> 00:23:47,280 Speaker 1: you know, trying to mitigate sweat, which for me, I'm 454 00:23:47,320 --> 00:23:49,080 Speaker 1: a big jade and I'm probably not in the best 455 00:23:49,080 --> 00:23:52,359 Speaker 1: shape I could be. UM, So you know, swet's gonna 456 00:23:52,359 --> 00:23:55,000 Speaker 1: happen for me. Um. But I'm going in light. I'm 457 00:23:55,000 --> 00:23:59,359 Speaker 1: normally running just a very lightweight top and lightweight pants. 458 00:23:59,440 --> 00:24:03,280 Speaker 1: I make sure, and I'm very sprayed down with permethron um. 459 00:24:03,320 --> 00:24:05,480 Speaker 1: As I'm sitting here giving you this interview, I'm picking 460 00:24:05,520 --> 00:24:08,600 Speaker 1: ticks off my arm and just cut out of the woods. Um. 461 00:24:08,800 --> 00:24:11,960 Speaker 1: But as I get it later into the season. I mean, 462 00:24:11,960 --> 00:24:14,600 Speaker 1: it's all about spending more time in the tree as 463 00:24:14,600 --> 00:24:17,879 Speaker 1: we get into later October early November. So right now 464 00:24:17,880 --> 00:24:20,399 Speaker 1: I'm going in light and as we get later in 465 00:24:20,480 --> 00:24:22,760 Speaker 1: the season, I'm just gonna bring more layers with me 466 00:24:23,080 --> 00:24:26,120 Speaker 1: and probably more snacks. Um. But you know, my kid 467 00:24:26,160 --> 00:24:28,560 Speaker 1: pretty much has everything in it, but I need from 468 00:24:28,640 --> 00:24:32,800 Speaker 1: day one with the exceptional layers and um, changing from 469 00:24:32,840 --> 00:24:34,879 Speaker 1: water to coffee as we get later in the season. 470 00:24:35,200 --> 00:24:37,679 Speaker 1: How about with your saddle or your sticks? Is anything 471 00:24:37,760 --> 00:24:41,680 Speaker 1: changed there in September? No? Uh, some my saddle just 472 00:24:42,200 --> 00:24:45,919 Speaker 1: in sticks are always the exact same unless I'm running 473 00:24:46,080 --> 00:24:48,240 Speaker 1: you know, some sort of prototype gear or whatever. But 474 00:24:49,040 --> 00:24:51,640 Speaker 1: my one sticks and I've been running the Phantom xl 475 00:24:52,320 --> 00:24:56,920 Speaker 1: UM now for pretty good while. And um, you know 476 00:24:57,000 --> 00:24:59,399 Speaker 1: that's just always ready to go in the back of 477 00:24:59,440 --> 00:25:03,240 Speaker 1: my car. Uh, just reading rock going forward. Then, in 478 00:25:03,280 --> 00:25:04,720 Speaker 1: this next week or so, what do you think that 479 00:25:04,800 --> 00:25:06,720 Speaker 1: buck ATV is going to be on a scale of 480 00:25:06,760 --> 00:25:10,120 Speaker 1: one to ten in Virginia. I think it's probably gonna 481 00:25:10,119 --> 00:25:13,199 Speaker 1: slow down, give it like a four compared to what 482 00:25:13,280 --> 00:25:18,520 Speaker 1: it is now. Um. I've been using some different predictability apps, UM, 483 00:25:18,680 --> 00:25:21,440 Speaker 1: one of them being called spartan forge, which predicts kind 484 00:25:21,440 --> 00:25:24,359 Speaker 1: of wind, deer moving and where um. And what they've 485 00:25:24,359 --> 00:25:27,199 Speaker 1: determined and discovered is that like deer will feed for 486 00:25:27,240 --> 00:25:30,840 Speaker 1: a period until they're satiated, and once they're satiated, they're 487 00:25:30,880 --> 00:25:33,840 Speaker 1: not going to have these long feeding spurts. And so 488 00:25:33,880 --> 00:25:37,040 Speaker 1: I think we're at the end of that major feeding 489 00:25:37,080 --> 00:25:39,760 Speaker 1: spurt that we just saw correlated with the cooler weather, 490 00:25:39,880 --> 00:25:42,240 Speaker 1: and as it gets warmer than deer gonna kind of 491 00:25:42,320 --> 00:25:46,560 Speaker 1: lay low until the next feeding event occurs. All right, Taylor, 492 00:25:46,680 --> 00:25:49,080 Speaker 1: good luck with the rescue season. Great intail, thanks for 493 00:25:49,160 --> 00:25:52,639 Speaker 1: joining me. Thanks Messor, good luck everybody out there all 494 00:25:52,720 --> 00:25:55,400 Speaker 1: right and joining us on theline. Last is Jake Hipschman 495 00:25:55,640 --> 00:25:58,600 Speaker 1: from the hunting public in Wyoming. Now, Jake in Wyoming, 496 00:25:58,680 --> 00:26:00,520 Speaker 1: what would you say the buck activity is been Leley 497 00:26:00,600 --> 00:26:04,920 Speaker 1: On a scale of one to ten, I would say, uh, 498 00:26:04,960 --> 00:26:07,560 Speaker 1: seven or eight. The what the weather when we were 499 00:26:07,600 --> 00:26:11,640 Speaker 1: out there, it was a little warmer, But I mean, 500 00:26:11,680 --> 00:26:14,800 Speaker 1: the nice thing about hunting those western states that that 501 00:26:14,880 --> 00:26:16,760 Speaker 1: we like is you can always just get up to 502 00:26:16,800 --> 00:26:18,840 Speaker 1: a vantage point. It seems like where you can get 503 00:26:18,880 --> 00:26:20,760 Speaker 1: somewhere and see a long ways and observe a bunch 504 00:26:20,800 --> 00:26:24,600 Speaker 1: of stuff, so the weather doesn't doesn't play as big 505 00:26:24,640 --> 00:26:27,160 Speaker 1: of a factor, doesn't seem like just because our style 506 00:26:27,200 --> 00:26:30,080 Speaker 1: of honey would like to get up on an elevated 507 00:26:30,160 --> 00:26:32,720 Speaker 1: knob usually and watch over a bunch of ground and 508 00:26:32,760 --> 00:26:34,760 Speaker 1: just try to get eyes on the animals, especially in 509 00:26:34,800 --> 00:26:38,560 Speaker 1: the morning, and then hopefully if you do get eyes 510 00:26:38,600 --> 00:26:40,439 Speaker 1: on the animal, you can either try to make a 511 00:26:40,440 --> 00:26:42,639 Speaker 1: stalk throughout the day or just get somewhere close to 512 00:26:42,640 --> 00:26:44,960 Speaker 1: where you last seen him to set up in the afternoon. 513 00:26:45,480 --> 00:26:48,360 Speaker 1: And we have pretty good luck doing that, So, I mean, 514 00:26:48,680 --> 00:26:50,359 Speaker 1: I'd say it was a seven or eight. If the 515 00:26:50,359 --> 00:26:52,200 Speaker 1: weather would have been cooler, maybe would have had even 516 00:26:52,240 --> 00:26:54,880 Speaker 1: better luck. But as far as just getting eyes on ducks, 517 00:26:54,960 --> 00:26:58,159 Speaker 1: we had pretty good luck when we're out there. On 518 00:26:58,200 --> 00:27:01,480 Speaker 1: our website Wired haun we've had Mark Kenyon right in 519 00:27:01,480 --> 00:27:04,200 Speaker 1: the past about how one of his favorite features to hunt, 520 00:27:04,280 --> 00:27:08,880 Speaker 1: whether he's in Maine or Montana, our water crossings, because 521 00:27:08,920 --> 00:27:11,720 Speaker 1: they're so easy to to locate and they're great for 522 00:27:11,800 --> 00:27:14,240 Speaker 1: hunting year round. Tell me about hunting those jake and 523 00:27:14,240 --> 00:27:17,520 Speaker 1: what you like about those in September. Well, I'll start 524 00:27:17,560 --> 00:27:20,000 Speaker 1: with when we first got out there, it seemed like 525 00:27:20,000 --> 00:27:22,720 Speaker 1: it had been really dry, like the we we've done 526 00:27:22,760 --> 00:27:26,520 Speaker 1: end up hunting along this river, but it was more 527 00:27:26,560 --> 00:27:28,680 Speaker 1: of a creek. I mean, it was you could about 528 00:27:28,720 --> 00:27:31,840 Speaker 1: jump across in most places. Then we got a bunch 529 00:27:31,840 --> 00:27:35,399 Speaker 1: of rain, and uh, it seemed like the deer weren't 530 00:27:35,480 --> 00:27:37,159 Speaker 1: used to it, the river being as high as it 531 00:27:37,240 --> 00:27:38,800 Speaker 1: was after we got all that rain, I mean, the 532 00:27:38,880 --> 00:27:41,320 Speaker 1: river was twenty thirty yards wide. Rush it's pretty good. 533 00:27:41,960 --> 00:27:44,480 Speaker 1: And we got a video on the channel of of 534 00:27:44,520 --> 00:27:47,639 Speaker 1: all this. But basically we got up to one of 535 00:27:47,680 --> 00:27:49,760 Speaker 1: the two knobs that we ended up kind of focusing 536 00:27:49,800 --> 00:27:53,159 Speaker 1: in on in the morning, and there was three bucks 537 00:27:53,160 --> 00:27:56,440 Speaker 1: beating out on alfalfa field that we had seen about 538 00:27:56,440 --> 00:27:58,720 Speaker 1: on a couple of nights earlier. They were still out 539 00:27:58,760 --> 00:28:01,080 Speaker 1: there on that field during daylight, but as soon as 540 00:28:01,080 --> 00:28:03,879 Speaker 1: the sun popped up they pretty much just made a 541 00:28:03,920 --> 00:28:06,720 Speaker 1: beam mine for the same place that a bunch of 542 00:28:06,760 --> 00:28:09,600 Speaker 1: doughs acrossed earlier that morning. And every single year that 543 00:28:09,640 --> 00:28:13,280 Speaker 1: we saw throughout this bottom was going to this certain 544 00:28:13,320 --> 00:28:16,160 Speaker 1: spot in the river. This little oxboat across and it 545 00:28:16,200 --> 00:28:18,159 Speaker 1: was right down the river of a beaver dam, and 546 00:28:18,280 --> 00:28:21,280 Speaker 1: lust water must have been more shallow there, and all 547 00:28:21,320 --> 00:28:24,920 Speaker 1: the year knew this, So that morning we watched I 548 00:28:24,960 --> 00:28:27,800 Speaker 1: don't know, seven or eight deer cross on the same 549 00:28:27,840 --> 00:28:31,399 Speaker 1: exact trail, so we uh we figured they weren't very 550 00:28:31,440 --> 00:28:34,960 Speaker 1: far down in the river bottom, and uh we basically 551 00:28:35,000 --> 00:28:36,600 Speaker 1: just got as close as we could to the river 552 00:28:36,720 --> 00:28:39,160 Speaker 1: on that clock crossing. There wasn't much cover out there. 553 00:28:39,240 --> 00:28:42,440 Speaker 1: There was just a couple uh sage bushes right up 554 00:28:42,480 --> 00:28:44,360 Speaker 1: against the river that we tucked behind, and we ended 555 00:28:44,400 --> 00:28:47,760 Speaker 1: up having uh those same three bucks coming across just 556 00:28:47,880 --> 00:28:51,880 Speaker 1: out of range that afternoon. So, um, I don't know, 557 00:28:51,960 --> 00:28:55,200 Speaker 1: I think just the combination of observing and sitting back 558 00:28:55,280 --> 00:28:59,160 Speaker 1: and waiting and kind of waiting to find something that 559 00:28:59,200 --> 00:29:00,840 Speaker 1: we can focus in on. That's kind of what we 560 00:29:00,840 --> 00:29:03,400 Speaker 1: were waiting for for three, four or five days there. 561 00:29:03,920 --> 00:29:06,080 Speaker 1: And then we'd realized all these bucks after their server 562 00:29:06,160 --> 00:29:08,560 Speaker 1: came up, we're crossing on this one trail. So we 563 00:29:08,680 --> 00:29:11,360 Speaker 1: finally made our move, but we just, uh we didn't. 564 00:29:11,400 --> 00:29:13,360 Speaker 1: We weren't quite close enough to the trail. There was 565 00:29:13,400 --> 00:29:15,800 Speaker 1: basically two trails that we could see across the river, 566 00:29:15,840 --> 00:29:17,640 Speaker 1: and we picked the run one that was about ten 567 00:29:17,720 --> 00:29:21,680 Speaker 1: yards too far away from what we felt comfortable shooting 568 00:29:21,680 --> 00:29:25,320 Speaker 1: at him. So you mentioned that you were watching some 569 00:29:25,400 --> 00:29:28,600 Speaker 1: books on al delfa, what other food sources relevant for 570 00:29:28,640 --> 00:29:32,760 Speaker 1: that hunting wyoming? There wasn't a lot of crop in 571 00:29:32,800 --> 00:29:35,360 Speaker 1: that area. That was about the only crop field that we, 572 00:29:35,560 --> 00:29:40,920 Speaker 1: uh we even noticed. It was mostly just um natural 573 00:29:40,960 --> 00:29:45,240 Speaker 1: brows ky stuff. Greg greg wisconum sunflowers, so I'm assuming 574 00:29:45,720 --> 00:29:47,960 Speaker 1: that's what they actually were. He he knows a lot 575 00:29:48,000 --> 00:29:50,320 Speaker 1: more about that stuff that I do. But just the 576 00:29:50,920 --> 00:29:54,320 Speaker 1: little yellow flowers. They're not the traditional sunflowers I'm used 577 00:29:54,320 --> 00:29:58,400 Speaker 1: to see in like road crop sunflowers Midwest, but they 578 00:29:58,400 --> 00:30:01,720 Speaker 1: were just like a smaller yellow hour And basically the 579 00:30:01,800 --> 00:30:05,720 Speaker 1: year we're betting down. There's a hunt that is on 580 00:30:05,760 --> 00:30:08,520 Speaker 1: the channel as well of where Ted and Greg stalked 581 00:30:08,520 --> 00:30:10,840 Speaker 1: a buck that was bettered down this stuff. But they're 582 00:30:10,840 --> 00:30:12,680 Speaker 1: betting in it just because I can stand up throughout 583 00:30:12,720 --> 00:30:14,840 Speaker 1: the day and drows on it too. There's just a 584 00:30:14,840 --> 00:30:18,600 Speaker 1: bunch of different uh plants that are growing within them too, 585 00:30:18,720 --> 00:30:21,200 Speaker 1: And there's footage of like those bucks standing up in 586 00:30:21,240 --> 00:30:23,760 Speaker 1: that stuff and feeding on it, but it's tall enough 587 00:30:23,760 --> 00:30:26,200 Speaker 1: where they feel like they're in cover two. I think 588 00:30:27,320 --> 00:30:29,200 Speaker 1: I know you boys do a lot of hunting from 589 00:30:29,240 --> 00:30:32,280 Speaker 1: the ground, how is it different hunting from the ground 590 00:30:32,320 --> 00:30:34,840 Speaker 1: for white tails and early September versus the rest of 591 00:30:34,880 --> 00:30:38,160 Speaker 1: the years, say October November. Oh boy, I mean you 592 00:30:38,240 --> 00:30:39,960 Speaker 1: just got a lot more cover this time of year. 593 00:30:40,040 --> 00:30:43,360 Speaker 1: So I mean, as far as getting shots, that might 594 00:30:43,400 --> 00:30:46,120 Speaker 1: make it a little tougher. Like in that video that 595 00:30:46,200 --> 00:30:48,480 Speaker 1: we have we're Ted and tedd and Greg got close 596 00:30:48,480 --> 00:30:50,880 Speaker 1: to that buck in those sunfowers. They were offen twenty 597 00:30:50,920 --> 00:30:53,040 Speaker 1: yards of them for I don't know, I think it's 598 00:30:53,080 --> 00:30:56,120 Speaker 1: two or three hours, but and he stood up a 599 00:30:56,120 --> 00:30:58,200 Speaker 1: couple of times, but everything in the vegetation was just 600 00:30:58,240 --> 00:31:01,080 Speaker 1: too thick where he couldn't get to sheep, like he 601 00:31:01,160 --> 00:31:05,160 Speaker 1: wasn't comfortable taking the shot. Um, seems like as everything 602 00:31:05,200 --> 00:31:09,400 Speaker 1: dies off, it's just a little bit easier everything everything, uh, 603 00:31:09,680 --> 00:31:12,920 Speaker 1: all the so it's stuff just gets lower to the 604 00:31:12,920 --> 00:31:16,760 Speaker 1: ground as it dies obviously, and just getting shots might 605 00:31:16,800 --> 00:31:18,400 Speaker 1: be a little bit easier. So you might have to 606 00:31:18,400 --> 00:31:21,840 Speaker 1: be a little bit more careful about where you're picking 607 00:31:21,840 --> 00:31:23,719 Speaker 1: the set up and making sure you're gonna be able 608 00:31:23,760 --> 00:31:25,320 Speaker 1: to get a shot when the year actually come in. 609 00:31:26,200 --> 00:31:28,120 Speaker 1: Going forward, then in the next week or so, what 610 00:31:28,160 --> 00:31:29,840 Speaker 1: do you think that buck ATV is going to be 611 00:31:29,920 --> 00:31:32,600 Speaker 1: on a scale of one to ten. In Wyoming, it 612 00:31:32,680 --> 00:31:35,680 Speaker 1: didn't seem like I guess we got there. The bucks 613 00:31:35,680 --> 00:31:39,120 Speaker 1: were interacting with each other here as much, which especially 614 00:31:39,160 --> 00:31:41,240 Speaker 1: when they're bachelored up, like it seems like they're always 615 00:31:41,360 --> 00:31:45,360 Speaker 1: seeing them early season, especially uh, just knock heads together, 616 00:31:45,400 --> 00:31:47,000 Speaker 1: you know, and do a little sparring and just kind 617 00:31:47,000 --> 00:31:50,600 Speaker 1: of start to set that packing order. And as as 618 00:31:50,920 --> 00:31:54,000 Speaker 1: we were leaving Wyoming, it seemed like there was a 619 00:31:54,040 --> 00:31:56,520 Speaker 1: lot more of that going on, where like bucks were 620 00:31:56,520 --> 00:31:58,520 Speaker 1: starting to lose their velvet, they're starting to spar a 621 00:31:58,560 --> 00:32:01,160 Speaker 1: little bit more, and bachelor groups are starting to break up. 622 00:32:01,200 --> 00:32:04,280 Speaker 1: It seemed like like even in some of that footage, 623 00:32:04,400 --> 00:32:07,160 Speaker 1: like there's but there's two nice bucks that came in. 624 00:32:07,200 --> 00:32:09,600 Speaker 1: Of the three, one of them was hard horned and 625 00:32:09,600 --> 00:32:12,000 Speaker 1: the other one was in velvet. Still on that hard 626 00:32:12,000 --> 00:32:15,280 Speaker 1: horn one kind of nudged the velvet eight pointer around, 627 00:32:15,320 --> 00:32:18,960 Speaker 1: even though I mean the other buckland it looks like 628 00:32:19,000 --> 00:32:21,720 Speaker 1: he's bigger body, maybe a year older deer, and I mean, 629 00:32:21,760 --> 00:32:25,320 Speaker 1: you have bigger antlers, but that that hardharmed, smaller antler 630 00:32:25,320 --> 00:32:27,160 Speaker 1: buck kind of nudged him around. I don't know if 631 00:32:27,160 --> 00:32:30,240 Speaker 1: it's just because the uh at losson velvet yeah, or 632 00:32:30,560 --> 00:32:34,000 Speaker 1: or you have loss of velvet yeah already, but I'd 633 00:32:34,000 --> 00:32:35,520 Speaker 1: say there's gonna be a lot more of that going 634 00:32:35,560 --> 00:32:37,760 Speaker 1: on as they kind of start to set the tecting 635 00:32:37,880 --> 00:32:41,120 Speaker 1: order throughout that river bottom there. If you want to 636 00:32:41,120 --> 00:32:43,120 Speaker 1: see the haunted Jake has been talking about, you can 637 00:32:43,120 --> 00:32:46,480 Speaker 1: see it right now on the Hunting Public's YouTube channel. Uh. 638 00:32:46,520 --> 00:32:48,640 Speaker 1: The one video is titled Deer hunting a beaver Dam. 639 00:32:48,720 --> 00:32:51,680 Speaker 1: The other is big Wyoming public Land White Tails. Thank 640 00:32:51,720 --> 00:32:53,280 Speaker 1: you for joining me, Jake, and good luck with the 641 00:32:53,280 --> 00:32:58,040 Speaker 1: rest of your fall. And that concludes this week's episode 642 00:32:58,040 --> 00:33:01,080 Speaker 1: of rut Fresh Radio. Thanks to Brian, David Taylor and 643 00:33:01,200 --> 00:33:03,520 Speaker 1: Jake for joining me, and thank you guys for listening. 644 00:33:03,680 --> 00:33:06,440 Speaker 1: Remember those reading materials can be found in the description 645 00:33:06,440 --> 00:33:08,920 Speaker 1: of the website about how Mark Jory predicts buck movement 646 00:33:08,960 --> 00:33:12,080 Speaker 1: based on when Tony Peterson says you should be deer 647 00:33:12,120 --> 00:33:14,880 Speaker 1: haunting big tracks of public land, and how to set 648 00:33:14,920 --> 00:33:17,800 Speaker 1: up a ground blind that won't spook to your punt. Kenyon, 649 00:33:17,960 --> 00:33:20,080 Speaker 1: I will talk to you next week and until then, 650 00:33:20,320 --> 00:33:21,320 Speaker 1: stay wired to Hunt.