1 00:00:02,880 --> 00:00:06,440 Speaker 1: Welcome to the Wired to Hunt podcast, your home for 2 00:00:06,519 --> 00:00:11,520 Speaker 1: deer hunting news, stories and strategies, and now your host, 3 00:00:11,880 --> 00:00:16,880 Speaker 1: Mark Kenyon. Welcome to the Wired to Hunt podcast. I'm 4 00:00:16,880 --> 00:00:19,680 Speaker 1: your host, Mark Kenyan, and this is episode number three 5 00:00:19,560 --> 00:00:22,400 Speaker 1: seventy one, and we are back for another edition of 6 00:00:22,440 --> 00:00:25,200 Speaker 1: our rut Fresh radio mini series in which we are 7 00:00:25,239 --> 00:00:28,000 Speaker 1: hearing from hunters all across the country about the latest 8 00:00:28,000 --> 00:00:31,880 Speaker 1: deer activity, weather conditions, and behavioral changes that are going 9 00:00:31,920 --> 00:00:39,320 Speaker 1: to impact your upcoming deer hunts. All right, folks, welcome 10 00:00:39,320 --> 00:00:43,280 Speaker 1: back to another episode of the Wired to Hunt podcast, 11 00:00:43,400 --> 00:00:46,640 Speaker 1: brought to you by on X. Today, we're back for 12 00:00:46,760 --> 00:00:50,760 Speaker 1: our second episode of our rut Fresh radio mini series. 13 00:00:51,280 --> 00:00:54,120 Speaker 1: This is something we do every fall. If you're not familiar, 14 00:00:54,520 --> 00:00:57,200 Speaker 1: here's the very quick synopsis. We are going to check 15 00:00:57,240 --> 00:01:00,200 Speaker 1: in with you every week with updates from four were 16 00:01:00,280 --> 00:01:03,080 Speaker 1: five deer hunters from across the country giving us the 17 00:01:03,200 --> 00:01:08,120 Speaker 1: latest on deer activity, dear behavior, how current conditions are 18 00:01:08,160 --> 00:01:11,160 Speaker 1: impacting things and what tactics are working for them. And 19 00:01:11,200 --> 00:01:13,920 Speaker 1: we're getting these updates every six seven days, so it's 20 00:01:14,440 --> 00:01:17,640 Speaker 1: really fresh, very timely, irrelevant to help you with your 21 00:01:17,720 --> 00:01:20,360 Speaker 1: very next hunts. So that's what we're gonna try to 22 00:01:20,360 --> 00:01:23,720 Speaker 1: do today with me. To do that is Spencer New 23 00:01:23,760 --> 00:01:26,080 Speaker 1: Hearth Uh Spencer. I don't know if you knew this, 24 00:01:26,160 --> 00:01:30,200 Speaker 1: but Tony Peterson and I were together about a month 25 00:01:30,240 --> 00:01:33,920 Speaker 1: ago on the back forty over here in Michigan, and 26 00:01:34,040 --> 00:01:38,679 Speaker 1: we actually named a buck after you know that. I 27 00:01:38,680 --> 00:01:43,040 Speaker 1: didn't know that, but I'm intrigued. Tell me more. Yeah, so, uh, 28 00:01:43,200 --> 00:01:46,959 Speaker 1: we found a buck that had a really nice main 29 00:01:47,080 --> 00:01:51,680 Speaker 1: frame eight left side, but then he had this very 30 00:01:51,680 --> 00:01:54,880 Speaker 1: strange other side of him that you know, if you 31 00:01:54,920 --> 00:01:58,080 Speaker 1: weren't paying attention, you never know that this other side 32 00:01:58,080 --> 00:01:59,960 Speaker 1: of the buck, which is just like a funky four 33 00:02:00,000 --> 00:02:02,360 Speaker 1: work with weird points coming off the tip of his 34 00:02:02,440 --> 00:02:06,040 Speaker 1: G two, you never know that the other side, behind 35 00:02:06,080 --> 00:02:07,840 Speaker 1: the scenes side of this buck is that he hangs 36 00:02:07,840 --> 00:02:09,680 Speaker 1: out in the hot tub all the time, and he's 37 00:02:09,680 --> 00:02:12,120 Speaker 1: got a weird thing for bobcats and turkeys and and 38 00:02:12,160 --> 00:02:14,960 Speaker 1: that kind of stuff. So Tony decided we should call 39 00:02:14,960 --> 00:02:18,840 Speaker 1: that one Spencer. So your ears might have been ringing 40 00:02:18,880 --> 00:02:21,280 Speaker 1: in August. I like it. I like it a lot. 41 00:02:21,320 --> 00:02:23,880 Speaker 1: How is this a regular buck? A buck that you 42 00:02:23,919 --> 00:02:26,520 Speaker 1: would shoot, a buck that you're excited about the future for? 43 00:02:27,600 --> 00:02:30,519 Speaker 1: Tell me more about him. He's a nice buck, he's 44 00:02:30,600 --> 00:02:33,240 Speaker 1: he's at least three years old. UM. So I think 45 00:02:33,320 --> 00:02:35,560 Speaker 1: we would, I think we would take a crack at him. Um. 46 00:02:35,600 --> 00:02:37,480 Speaker 1: And he seems to be their decent bit. We got 47 00:02:37,520 --> 00:02:39,680 Speaker 1: a good number of summer pictures of him. Now, of course, 48 00:02:40,000 --> 00:02:41,960 Speaker 1: I don't know what's going on now that it's September, 49 00:02:41,960 --> 00:02:45,240 Speaker 1: things shift around, so he might be gone. But he 50 00:02:45,280 --> 00:02:47,280 Speaker 1: was there a lot in August, so I'm hoping he'll 51 00:02:47,280 --> 00:02:51,600 Speaker 1: be around and we'll get a crack at you. Um. 52 00:02:51,639 --> 00:02:54,399 Speaker 1: But that I don't know. That randomly popped in my head. Spencer. 53 00:02:54,880 --> 00:02:58,880 Speaker 1: What what I really wanted to ask you about though, was, uh, 54 00:02:58,960 --> 00:03:01,440 Speaker 1: you know, since we're trying to to talk about the 55 00:03:01,440 --> 00:03:04,040 Speaker 1: thielindness of this information, how this stuff can be useful 56 00:03:04,080 --> 00:03:06,240 Speaker 1: for upcoming hunts. I know last week you and I 57 00:03:06,280 --> 00:03:08,200 Speaker 1: had talked and you were just about to head to 58 00:03:08,240 --> 00:03:10,440 Speaker 1: South Dakota, and we had heard from a bunch of 59 00:03:10,480 --> 00:03:13,040 Speaker 1: hunters all over the place and heard about what was 60 00:03:13,080 --> 00:03:15,880 Speaker 1: working for them. Now, just curious if anything you heard 61 00:03:15,919 --> 00:03:18,880 Speaker 1: from our guests last week helped you on your South 62 00:03:18,960 --> 00:03:21,920 Speaker 1: Dakota hunt that you just wrapped up. Yes, so on 63 00:03:22,000 --> 00:03:25,160 Speaker 1: last week's episode and In this week's episode, almost all 64 00:03:25,160 --> 00:03:29,160 Speaker 1: of our guests talked about soybeans. Um. And there's like 65 00:03:29,320 --> 00:03:33,160 Speaker 1: this conventional deer hunting wisdom that I think is kind 66 00:03:33,200 --> 00:03:35,520 Speaker 1: of accurate but also sort of inaccurate, and it's that 67 00:03:35,600 --> 00:03:39,720 Speaker 1: deer don't like yellow soybeans. I think that's oversimplified, and 68 00:03:39,760 --> 00:03:44,400 Speaker 1: the reality is that it's not that deer dislike yellow soybeans. Um. 69 00:03:44,440 --> 00:03:47,760 Speaker 1: It's just that this time of year, when you have 70 00:03:48,280 --> 00:03:51,840 Speaker 1: yellow soybeans start to show up in fields, you also 71 00:03:51,880 --> 00:03:55,000 Speaker 1: have the first a coorantinating the ground. You have apples 72 00:03:55,080 --> 00:03:58,240 Speaker 1: dropping for simmons um, and then you have this other 73 00:03:58,280 --> 00:04:02,080 Speaker 1: agriculture where there's hay fields and alflfa and all those 74 00:04:02,160 --> 00:04:05,000 Speaker 1: kinds of things. And so I think it's more so 75 00:04:05,160 --> 00:04:08,760 Speaker 1: that deer don't dislike yellow soybeans, it's that they like 76 00:04:08,840 --> 00:04:11,280 Speaker 1: some of the other things that are available now as well. 77 00:04:11,440 --> 00:04:13,600 Speaker 1: And so on my hunt back in South Dakota, the 78 00:04:13,640 --> 00:04:17,080 Speaker 1: soybeans had turned yellow um, and the neighboring property had 79 00:04:17,120 --> 00:04:19,800 Speaker 1: a green hay field, and they were always like three 80 00:04:19,880 --> 00:04:23,480 Speaker 1: or four times more dear hitting that green hay field 81 00:04:23,839 --> 00:04:26,599 Speaker 1: than they were the yellow soybeans. I say this to 82 00:04:26,680 --> 00:04:29,960 Speaker 1: say to our listeners that if you have yellow soybeans 83 00:04:29,960 --> 00:04:33,360 Speaker 1: and that's the only thing around, um, then you shouldn't 84 00:04:33,360 --> 00:04:36,360 Speaker 1: be too disappointed. The deer probably gonna keep using it. 85 00:04:36,720 --> 00:04:39,520 Speaker 1: But if you have yellow soybeans and there's a bunch 86 00:04:39,560 --> 00:04:42,640 Speaker 1: of other really good food sources available, and it's just 87 00:04:42,720 --> 00:04:47,360 Speaker 1: a buffet of green things and fruit and nuts in 88 00:04:47,400 --> 00:04:50,360 Speaker 1: the woods, then you might not see a lot of action. 89 00:04:50,520 --> 00:04:53,000 Speaker 1: And so you're gonna hear a lot about soybeans on 90 00:04:53,040 --> 00:04:57,680 Speaker 1: this episode, probably the next episode, and the last episode. Yeah, 91 00:04:57,880 --> 00:05:00,719 Speaker 1: it's funny you mentioned that. I've been watching some bean 92 00:05:00,839 --> 00:05:04,200 Speaker 1: fields myself here in Michigan and seeing the same thing 93 00:05:04,279 --> 00:05:06,840 Speaker 1: that the deer not focusing on the beans as much. 94 00:05:06,960 --> 00:05:10,400 Speaker 1: Right there, mostly yellow. But this is another thing we 95 00:05:10,400 --> 00:05:12,560 Speaker 1: talked about last year or one of these years, was 96 00:05:12,640 --> 00:05:14,960 Speaker 1: the fact that even when you've got those bean fields 97 00:05:15,000 --> 00:05:17,560 Speaker 1: turning and they're turning yellow and they're drying down, there's 98 00:05:17,560 --> 00:05:20,719 Speaker 1: still little pockets in there where there are green beans still, right. 99 00:05:20,760 --> 00:05:22,600 Speaker 1: There's just not the beans, it's the leaves that they're 100 00:05:22,600 --> 00:05:25,320 Speaker 1: feeding on right now. So even if most of the 101 00:05:25,320 --> 00:05:29,400 Speaker 1: field looks less than desirable, you'll still still get some 102 00:05:29,480 --> 00:05:31,480 Speaker 1: deer in there hitting little pockets of it. And so 103 00:05:31,520 --> 00:05:34,560 Speaker 1: what I've seen in my observations the last few days 104 00:05:34,600 --> 00:05:36,640 Speaker 1: is that there are deers still coming out to these 105 00:05:36,640 --> 00:05:39,400 Speaker 1: bean fields, but they're just moving through them very quickly. 106 00:05:39,640 --> 00:05:42,120 Speaker 1: So they're transitioning through it, hitting a few little green 107 00:05:42,200 --> 00:05:45,480 Speaker 1: leaves that are left, and then transitioning out of that 108 00:05:46,120 --> 00:05:50,279 Speaker 1: pretty fast into the neighboring corn fields where that corn 109 00:05:50,320 --> 00:05:52,480 Speaker 1: is starting to dry down as well, and so as 110 00:05:52,480 --> 00:05:55,200 Speaker 1: the beans get less attractive, the corn is getting more attractive. 111 00:05:55,640 --> 00:05:58,680 Speaker 1: And uh, that's what I've seen out here. If you 112 00:05:58,760 --> 00:06:01,440 Speaker 1: want a deer activity report from Michigan, just based off 113 00:06:01,440 --> 00:06:03,200 Speaker 1: of the handful of days I've been able to get 114 00:06:03,240 --> 00:06:06,200 Speaker 1: out and watched in these fields, I'm gonna say it's 115 00:06:06,200 --> 00:06:10,000 Speaker 1: been a five or six out here. I've I've maybe 116 00:06:10,040 --> 00:06:12,080 Speaker 1: even a little higher. There's been a decent number of deer. 117 00:06:12,080 --> 00:06:14,719 Speaker 1: Movie has been relatively cool in Michigan. Now the season 118 00:06:14,800 --> 00:06:18,159 Speaker 1: is not open for regular folks, but the youth season 119 00:06:18,240 --> 00:06:21,000 Speaker 1: was open this past weekend, and I know a number 120 00:06:21,040 --> 00:06:24,080 Speaker 1: of people had success, and I think this cold spell 121 00:06:24,279 --> 00:06:27,040 Speaker 1: has at least helped with that. Um And I actually 122 00:06:27,080 --> 00:06:30,760 Speaker 1: saw a really nice shooter buck last night. Spencer show 123 00:06:30,800 --> 00:06:32,400 Speaker 1: up on one of the properties that can hunt. He's 124 00:06:32,400 --> 00:06:34,680 Speaker 1: a deer I had seen last year a little bit 125 00:06:34,680 --> 00:06:36,480 Speaker 1: and gotten pictures of I thought he was a three 126 00:06:36,560 --> 00:06:38,880 Speaker 1: year old and he kind of blew up this year. 127 00:06:38,920 --> 00:06:42,520 Speaker 1: He's a really good looking six by five with some 128 00:06:42,560 --> 00:06:46,520 Speaker 1: stickers on his brow times. So I'm excited to hopefully 129 00:06:46,560 --> 00:06:49,440 Speaker 1: see more of him come October. Yeah, and I'd agree 130 00:06:49,440 --> 00:06:51,080 Speaker 1: with you there that what I saw in South Dakota, 131 00:06:51,160 --> 00:06:53,039 Speaker 1: I'd put it like a six or seven. It was 132 00:06:53,080 --> 00:06:56,080 Speaker 1: just about finding the right food source for this time 133 00:06:56,120 --> 00:06:58,800 Speaker 1: of year. You're gonna hear similar things from the people 134 00:06:58,839 --> 00:07:01,920 Speaker 1: we talked to this week. That includes Tony Peterson who 135 00:07:01,960 --> 00:07:05,440 Speaker 1: was just hunting in Wisconsin, Patrick Cutter in New Jersey, 136 00:07:05,640 --> 00:07:09,640 Speaker 1: Keith Thompson in Montana, and then Drew Carroll in Georgia. 137 00:07:09,960 --> 00:07:13,000 Speaker 1: UM And Drew was great to talk to because I 138 00:07:13,040 --> 00:07:14,640 Speaker 1: don't know if he saw this mark, but he just 139 00:07:14,760 --> 00:07:17,560 Speaker 1: killed the biggest White Tale of his life. Uh. And 140 00:07:17,640 --> 00:07:21,200 Speaker 1: Duroys brings a super unique perspective because the guys from 141 00:07:21,200 --> 00:07:25,120 Speaker 1: Seek One hunt like the most urban white tales in 142 00:07:25,160 --> 00:07:28,200 Speaker 1: the country. Um and sort of how their tactics are 143 00:07:28,240 --> 00:07:32,000 Speaker 1: the same and different. Um. So Drew is an exciting 144 00:07:32,040 --> 00:07:35,280 Speaker 1: one to end on this week. Yeah, that's awesome. Those guys. 145 00:07:36,040 --> 00:07:38,440 Speaker 1: I don't know how they do it. They just it's nuts. 146 00:07:38,720 --> 00:07:41,880 Speaker 1: Uh what's his name, I'm blanking on his name? Uh? 147 00:07:42,840 --> 00:07:46,600 Speaker 1: Lee Lee? Yeah? Lee just killed the slammer yesterday too, 148 00:07:46,680 --> 00:07:50,000 Speaker 1: so they're on a tear. Any other big takeaway from 149 00:07:50,000 --> 00:07:53,880 Speaker 1: your conversations with these guys that is worth mentioning at 150 00:07:53,920 --> 00:07:56,000 Speaker 1: the top here that we should be focusing on as 151 00:07:56,040 --> 00:07:58,840 Speaker 1: we listen. Man, it's sort of the end of the 152 00:07:58,840 --> 00:08:03,240 Speaker 1: summer patterns. Deer out of velvet bachelor groups are pretty 153 00:08:03,320 --> 00:08:07,560 Speaker 1: much gone, so we're starting to see that transition. Um. 154 00:08:07,720 --> 00:08:11,200 Speaker 1: And this is like sort of that in between time 155 00:08:11,320 --> 00:08:13,640 Speaker 1: of the summer pattern and what we'll talk about in 156 00:08:13,680 --> 00:08:17,400 Speaker 1: a few weeks as the October law. So it's sort 157 00:08:17,440 --> 00:08:20,480 Speaker 1: of a tweener time and it's all about like picking 158 00:08:20,600 --> 00:08:22,600 Speaker 1: your spots, as we talked about last week, when to 159 00:08:22,680 --> 00:08:26,400 Speaker 1: be aggressive, um, and when to maybe sit back and 160 00:08:26,440 --> 00:08:30,120 Speaker 1: give an observation. Hunt Very good? All right? Well, I 161 00:08:30,160 --> 00:08:38,240 Speaker 1: think my Michigan season opens in fifteen fourteen days, I think, 162 00:08:38,360 --> 00:08:41,200 Speaker 1: so we've got two more episodes till I'm hunting. Do 163 00:08:41,240 --> 00:08:44,440 Speaker 1: you have any white tail hunts? Uh? Coming up? In 164 00:08:44,480 --> 00:08:47,720 Speaker 1: about two weeks, I'm gonna be go into Wyoming, Um 165 00:08:47,760 --> 00:08:50,319 Speaker 1: and I have a tag there where the country is 166 00:08:50,320 --> 00:08:52,840 Speaker 1: split between white tail Country mule deer Country, So that 167 00:08:52,880 --> 00:08:56,319 Speaker 1: will be my next white Tail Country on tap on 168 00:08:56,840 --> 00:08:59,240 Speaker 1: For the next few weeks, I'll just be trying to 169 00:08:59,760 --> 00:09:02,280 Speaker 1: kill and elk with my bowl and really looking like 170 00:09:02,320 --> 00:09:07,040 Speaker 1: a fool. Well you got that part, Peg Spencer, so 171 00:09:07,080 --> 00:09:13,040 Speaker 1: I trust you'll do well a kid. Um All right, man, Well, 172 00:09:13,120 --> 00:09:16,720 Speaker 1: I'm excited to hear from our guests today, so maybe 173 00:09:16,760 --> 00:09:18,560 Speaker 1: we should just roll the tape. All right, We'll talk 174 00:09:18,600 --> 00:09:21,440 Speaker 1: to you next week, Mark alright In. Joining us on 175 00:09:21,480 --> 00:09:24,560 Speaker 1: the line first is Tony Peterson from Wisconsin from the 176 00:09:24,600 --> 00:09:27,840 Speaker 1: Hunt for Real podcast. Now, Tony in Wisconsin, what would 177 00:09:27,840 --> 00:09:30,040 Speaker 1: you say the buck activities been lately? On a scale 178 00:09:30,040 --> 00:09:34,439 Speaker 1: of one to ten, I would say a solid seven 179 00:09:34,600 --> 00:09:36,880 Speaker 1: or eight. Just a lot of a lot of deer 180 00:09:36,920 --> 00:09:39,800 Speaker 1: moving around. You know, Wisconsin's opener this year was a 181 00:09:39,840 --> 00:09:42,840 Speaker 1: little bit early. It was September twelve, so you're catching 182 00:09:42,880 --> 00:09:46,960 Speaker 1: that summer bachelor group just getting into velop just getting 183 00:09:47,040 --> 00:09:50,240 Speaker 1: from Velvet to hard Antler. And it was what I 184 00:09:50,280 --> 00:09:53,520 Speaker 1: saw an opening weekend was incredible. It was it was awesome. 185 00:09:53,559 --> 00:09:56,760 Speaker 1: Dear activity hunting this last weekend. Were you seeing a 186 00:09:56,760 --> 00:10:00,200 Speaker 1: lot of bachelor groups still together in Wisconsin? Yeah, out 187 00:10:00,480 --> 00:10:04,160 Speaker 1: I saw. I had my daughters out, so I was 188 00:10:04,200 --> 00:10:06,680 Speaker 1: taking eight year old hunting, so it was a different 189 00:10:06,720 --> 00:10:09,760 Speaker 1: kind of hunt for me. But we saw one bachelor 190 00:10:09,760 --> 00:10:13,000 Speaker 1: group that had seven bucks in it, including legit you know, 191 00:10:13,120 --> 00:10:15,920 Speaker 1: hundred fifty inch er and you know, several really nice 192 00:10:16,000 --> 00:10:20,080 Speaker 1: bucks and they were all hanging together. You aren't as 193 00:10:20,120 --> 00:10:24,400 Speaker 1: a conservative of a hunter as most bow hunters in 194 00:10:24,520 --> 00:10:27,920 Speaker 1: mid September. What are some aggressive tactics that you're using 195 00:10:28,040 --> 00:10:29,959 Speaker 1: to try to kill a buck if you if you 196 00:10:29,960 --> 00:10:32,600 Speaker 1: want to talk about aggressive tactics to me, it's just 197 00:10:32,720 --> 00:10:36,120 Speaker 1: observe and move. Observe and move. And so you know, 198 00:10:36,160 --> 00:10:38,720 Speaker 1: if you're catching them on that you know, still hanging 199 00:10:38,720 --> 00:10:41,320 Speaker 1: around the bachelor group type of thing, if you see 200 00:10:41,400 --> 00:10:43,760 Speaker 1: him do something today, it's time to get in there 201 00:10:43,760 --> 00:10:47,360 Speaker 1: tomorrow because that pattern is going to die. And so 202 00:10:47,559 --> 00:10:49,400 Speaker 1: I don't hang back and try to call them in 203 00:10:49,520 --> 00:10:51,320 Speaker 1: or declaim or something like that. I try to move 204 00:10:51,480 --> 00:10:53,400 Speaker 1: right on top of where they want to be and 205 00:10:53,440 --> 00:10:56,079 Speaker 1: try to kill him the next night. I know for 206 00:10:56,240 --> 00:10:59,280 Speaker 1: most of your Western public land haunts, that you're focused 207 00:10:59,280 --> 00:11:01,800 Speaker 1: on water the time of year. Is that the same 208 00:11:01,840 --> 00:11:06,959 Speaker 1: case in a state like Wisconsin or Minnesota? Nope, especially 209 00:11:07,040 --> 00:11:08,960 Speaker 1: this year. You know, the temperatures have been pretty cool 210 00:11:09,000 --> 00:11:11,680 Speaker 1: and really nice to hunt, and so it's been a 211 00:11:11,679 --> 00:11:14,800 Speaker 1: food source thing for me. And those bucks that I 212 00:11:14,840 --> 00:11:17,000 Speaker 1: got on with my daughter this past weekend, they were 213 00:11:17,040 --> 00:11:20,120 Speaker 1: they were on a soybean program and you know, making 214 00:11:20,120 --> 00:11:23,280 Speaker 1: their way to a distant alfalfa field. But this is 215 00:11:23,400 --> 00:11:25,080 Speaker 1: you know, that area. If you want to hunt water, 216 00:11:25,160 --> 00:11:28,760 Speaker 1: you could spin in degrees and find water everywhere. And 217 00:11:28,800 --> 00:11:31,120 Speaker 1: so it's a it's a matter of an early seasoned 218 00:11:31,120 --> 00:11:34,200 Speaker 1: food source for me in a state like Wisconsin. What 219 00:11:34,280 --> 00:11:36,480 Speaker 1: does a morning set up look like for you this 220 00:11:36,520 --> 00:11:40,360 Speaker 1: time of year? Uh, staging areas, trying to trying to 221 00:11:40,400 --> 00:11:43,160 Speaker 1: find a good route to get in and catch them 222 00:11:43,200 --> 00:11:45,160 Speaker 1: coming back from the food before they go to bed. 223 00:11:45,679 --> 00:11:50,200 Speaker 1: Were you seeing any signmaking in Wisconsin over the weekend. Yeah, 224 00:11:49,559 --> 00:11:54,160 Speaker 1: I've watched between North Dakota and Wisconsin. I've watched quite 225 00:11:54,160 --> 00:11:57,000 Speaker 1: a few bucks make rubs. I haven't seen any make 226 00:11:57,040 --> 00:12:00,280 Speaker 1: scrapes yet. I saw a lot of sparring and bucks 227 00:12:00,400 --> 00:12:02,960 Speaker 1: just trying out their their antlers. It looked like they 228 00:12:03,000 --> 00:12:05,080 Speaker 1: were just excited to not be in velvet anymore and 229 00:12:05,080 --> 00:12:08,079 Speaker 1: they wanted to use them. We have Minnesota's opener coming 230 00:12:08,160 --> 00:12:10,600 Speaker 1: up here this weekend. What are your setups going to 231 00:12:10,640 --> 00:12:13,040 Speaker 1: look like for that first weekend of hunting? Sponge and 232 00:12:13,080 --> 00:12:16,520 Speaker 1: stuff set up on field edges. It'll primari primarily be 233 00:12:16,600 --> 00:12:19,280 Speaker 1: all falful where I'm hunting, but I'm going to check 234 00:12:19,320 --> 00:12:21,480 Speaker 1: some acorns just in case to see if there's any 235 00:12:21,480 --> 00:12:25,080 Speaker 1: white oaks dropping, and if if the temperature creeps up 236 00:12:25,120 --> 00:12:27,720 Speaker 1: a little bit more then it's forecasted, there'll be some 237 00:12:27,760 --> 00:12:30,520 Speaker 1: water playing into my plans, but mostly it'll be just 238 00:12:30,600 --> 00:12:32,719 Speaker 1: a field edge, try to get a try to get 239 00:12:32,720 --> 00:12:35,480 Speaker 1: a gimme slipping up on his summer pattern. You know, 240 00:12:35,800 --> 00:12:38,480 Speaker 1: this weekend and after that that will be dead. Tony. 241 00:12:38,520 --> 00:12:42,160 Speaker 1: You kill a lot of deer in early to mid September. 242 00:12:42,320 --> 00:12:43,840 Speaker 1: What is it about this time of year that you 243 00:12:43,920 --> 00:12:48,480 Speaker 1: like so much? The deer haven't been hunted super harsh yet, 244 00:12:48,600 --> 00:12:50,800 Speaker 1: you know, it's been nine months since they've been pressured, 245 00:12:51,320 --> 00:12:53,920 Speaker 1: and they're pretty predictable, and so if you kind of 246 00:12:54,000 --> 00:12:57,200 Speaker 1: learn to ignore the weather and what deer supposed to 247 00:12:57,240 --> 00:12:59,440 Speaker 1: do and get out there and hunt them, you see 248 00:12:59,440 --> 00:13:02,959 Speaker 1: that they're they're to move. If it's hot, cold, windy, rainy, whatever, 249 00:13:03,080 --> 00:13:05,200 Speaker 1: they're going to be doing their saying. And so if 250 00:13:05,240 --> 00:13:08,200 Speaker 1: you can kind of ignore what you know, like the 251 00:13:08,320 --> 00:13:11,680 Speaker 1: typical white tail of advice and just go hunt, you 252 00:13:11,679 --> 00:13:13,560 Speaker 1: can run into a lot of deer and have some 253 00:13:13,760 --> 00:13:17,199 Speaker 1: great hunts when really theoretically you probably shouldn't, but they're 254 00:13:17,240 --> 00:13:19,679 Speaker 1: out there doing this thing and it can be so 255 00:13:19,840 --> 00:13:22,640 Speaker 1: productive to get out there. Going forward. Then in the 256 00:13:22,679 --> 00:13:24,400 Speaker 1: sext week or so, what do you think that buck 257 00:13:24,440 --> 00:13:26,400 Speaker 1: activty is going to be on the scale of one 258 00:13:26,440 --> 00:13:29,319 Speaker 1: to ten in Wisconsin? I would peg it right, maybe 259 00:13:29,320 --> 00:13:31,199 Speaker 1: out of six, and maybe back it off just a 260 00:13:31,280 --> 00:13:33,160 Speaker 1: hair and say, you know, the pressure is gonna get 261 00:13:33,160 --> 00:13:35,040 Speaker 1: to him a little bit, but I think it's gonna 262 00:13:35,040 --> 00:13:37,120 Speaker 1: stay pretty good with at least what the ten day 263 00:13:37,160 --> 00:13:39,400 Speaker 1: forecast looks like. All right, Tony would look with the 264 00:13:39,440 --> 00:13:42,200 Speaker 1: rest of your season. Uh Listeners. You can read a 265 00:13:42,200 --> 00:13:44,480 Speaker 1: lot of Tony's work over at the Meat Eater dot 266 00:13:44,480 --> 00:13:47,280 Speaker 1: com and listen to his podcast, The Hunt for Real Podcast. 267 00:13:47,360 --> 00:13:51,120 Speaker 1: Thanks for joining me, Tony, Thank you alright and joining 268 00:13:51,200 --> 00:13:53,840 Speaker 1: us on the line. Next is Patrick Cutter from Red 269 00:13:53,920 --> 00:13:57,280 Speaker 1: Hand Outdoors in New Jersey. Now Patrick in New Jersey, 270 00:13:57,320 --> 00:13:59,480 Speaker 1: what would you say the buck activity is bent lateley 271 00:13:59,559 --> 00:14:03,280 Speaker 1: on a ski of one to ten a spencer, Um, 272 00:14:03,320 --> 00:14:06,960 Speaker 1: I would say right now, you'll probably call a six 273 00:14:07,320 --> 00:14:10,560 Speaker 1: six out of ten. Um. The season has just opened 274 00:14:10,640 --> 00:14:14,800 Speaker 1: up on Saturday, so so you're still getting um, definitely 275 00:14:14,800 --> 00:14:16,400 Speaker 1: still getting some deer that are on their on their 276 00:14:16,440 --> 00:14:21,400 Speaker 1: summer patterns. Other than that, attempts have been pretty warm. Um, 277 00:14:21,440 --> 00:14:24,560 Speaker 1: you know hot high in the seventies, um, you know, 278 00:14:24,960 --> 00:14:27,920 Speaker 1: low eighties. Um, but we do, we do have a 279 00:14:27,920 --> 00:14:30,440 Speaker 1: cold front coming up this weekend. I think, uh, I 280 00:14:30,520 --> 00:14:32,320 Speaker 1: think it's gonna really get the deer, the deer on 281 00:14:32,360 --> 00:14:35,440 Speaker 1: their feet. So you mentioned some deer still in their 282 00:14:35,480 --> 00:14:38,040 Speaker 1: summer patterns. Does that mean you're still seeing bucks and 283 00:14:38,080 --> 00:14:41,120 Speaker 1: bachelor groups. Yeah, yeah, there's definitely bucks that are still 284 00:14:41,520 --> 00:14:45,280 Speaker 1: running together. Um. I went out, it's earn a buck 285 00:14:45,320 --> 00:14:47,120 Speaker 1: here in New Jersey, so you have to shoot a 286 00:14:47,200 --> 00:14:50,520 Speaker 1: doe first. Um. I was out Sunday, uh in one 287 00:14:50,560 --> 00:14:53,320 Speaker 1: of those early zones and I saw I saw three 288 00:14:53,320 --> 00:14:56,880 Speaker 1: bucks round together. Nothing big but um, but they're definitely 289 00:14:56,880 --> 00:14:59,000 Speaker 1: still still still running together for the MOBI far I 290 00:14:59,040 --> 00:15:00,680 Speaker 1: guess some of your bigger one are starting to break 291 00:15:00,800 --> 00:15:03,200 Speaker 1: up a little bit. But what are the relevant food 292 00:15:03,240 --> 00:15:06,400 Speaker 1: sources that hunters in New Jersey should focus on this 293 00:15:06,480 --> 00:15:09,480 Speaker 1: time of year? UM. I mean in New Jersey, you're 294 00:15:09,640 --> 00:15:12,920 Speaker 1: you're allowed to bait, so uh, I'd imagine a lot 295 00:15:12,960 --> 00:15:16,400 Speaker 1: of guys are baiting. UM. I don't have any spots 296 00:15:16,480 --> 00:15:19,200 Speaker 1: right now that I'm baiting. UM, but there's a lot 297 00:15:19,240 --> 00:15:20,800 Speaker 1: of guys that bait, So that's a that's a good 298 00:15:21,040 --> 00:15:25,080 Speaker 1: a good food source for them. UM. Any obviously, any 299 00:15:25,120 --> 00:15:28,880 Speaker 1: agg um is definitely hot early earlier in the year. UM. 300 00:15:29,000 --> 00:15:31,160 Speaker 1: I used to have a farm that you had had 301 00:15:31,200 --> 00:15:33,040 Speaker 1: a bunch of alfalfa on it, and that that was 302 00:15:33,080 --> 00:15:36,800 Speaker 1: always good early. Um. The acorns I think are pretty 303 00:15:37,080 --> 00:15:41,040 Speaker 1: pretty limited this year. UM. I haven't seen a white 304 00:15:41,080 --> 00:15:44,520 Speaker 1: oak tree with with acorns on it at all. Um. 305 00:15:44,640 --> 00:15:47,520 Speaker 1: And the red oaks are pretty sparse as well. I 306 00:15:47,520 --> 00:15:49,120 Speaker 1: haven't haven't seen many of them. I mean, the deer 307 00:15:49,120 --> 00:15:50,800 Speaker 1: aren't gonna hit them till later in the season. But 308 00:15:50,840 --> 00:15:53,800 Speaker 1: I think as far as acorns this year, it's gonna 309 00:15:53,800 --> 00:15:57,040 Speaker 1: be it's gonna be pretty pretty limited. So anything you 310 00:15:57,040 --> 00:16:00,600 Speaker 1: know baiting or or you know, any any egg you 311 00:16:00,640 --> 00:16:03,600 Speaker 1: can get get to, it's gonna be good. I know 312 00:16:03,680 --> 00:16:05,640 Speaker 1: in New Jersey you hunt some big Woods and you 313 00:16:05,720 --> 00:16:09,120 Speaker 1: hunt some egg country. How did those two different venues 314 00:16:09,320 --> 00:16:14,440 Speaker 1: vary for mid September. I would definitely say that the bucks, 315 00:16:14,600 --> 00:16:17,080 Speaker 1: the bucks on in the agg country, they're definitely more 316 00:16:17,200 --> 00:16:20,440 Speaker 1: more patentable the bucks in the big Woods. I mean, 317 00:16:21,040 --> 00:16:25,360 Speaker 1: they're they're tough to to to pin, you know, um, 318 00:16:25,400 --> 00:16:27,600 Speaker 1: you know under under a certain oak tree or something 319 00:16:27,680 --> 00:16:30,080 Speaker 1: like that. They they they have a lot of more 320 00:16:30,120 --> 00:16:32,800 Speaker 1: free range to move around and and um, it's definitely 321 00:16:32,840 --> 00:16:35,720 Speaker 1: tougher tougher there. So if you got if you've got 322 00:16:35,720 --> 00:16:37,640 Speaker 1: a phone that you can hunt, that's that's gonna be 323 00:16:37,680 --> 00:16:41,040 Speaker 1: your best bet come mid September, mid to late September. 324 00:16:41,680 --> 00:16:46,320 Speaker 1: Are you seeing any signmaking yet? Yeah? I was out 325 00:16:46,320 --> 00:16:50,120 Speaker 1: today actually, Um, I was actually scouting a peace a 326 00:16:50,120 --> 00:16:53,680 Speaker 1: piece of public in the Big Woods that's in one 327 00:16:53,680 --> 00:16:55,840 Speaker 1: of these early zones, because I did you know, I 328 00:16:55,880 --> 00:16:57,280 Speaker 1: shot a doll the other day, so I had my 329 00:16:57,320 --> 00:16:59,880 Speaker 1: buck tag. Now, um, you know, most of my other 330 00:17:00,000 --> 00:17:02,760 Speaker 1: properties are in a zone that doesn't open its October three. 331 00:17:02,800 --> 00:17:05,440 Speaker 1: So I figured out I'd go check out a piece 332 00:17:05,560 --> 00:17:07,679 Speaker 1: and uh, you know, give me something to do until 333 00:17:07,760 --> 00:17:11,080 Speaker 1: until my other zone opens, and I was surprised that 334 00:17:11,480 --> 00:17:14,040 Speaker 1: the amount of rubs that I saw today, the amount 335 00:17:14,080 --> 00:17:18,040 Speaker 1: of fresh rubs, I probably saw ten or fifteen within 336 00:17:18,040 --> 00:17:20,960 Speaker 1: about a half mile span along this ridge. And then 337 00:17:21,119 --> 00:17:22,840 Speaker 1: I found a couple of good ones in there too, 338 00:17:22,880 --> 00:17:25,320 Speaker 1: So I might be putting a couple of sits up 339 00:17:25,359 --> 00:17:28,040 Speaker 1: there over over the next week or two and and 340 00:17:28,160 --> 00:17:30,960 Speaker 1: and see what happens. It's not uncommon to have a 341 00:17:31,040 --> 00:17:33,479 Speaker 1: hurricane roll through that part of the country in the 342 00:17:33,520 --> 00:17:35,919 Speaker 1: next month. How does that affect deer hunting when you 343 00:17:35,960 --> 00:17:39,320 Speaker 1: have that sort of weather come through the area. Um, 344 00:17:39,359 --> 00:17:42,639 Speaker 1: it could be good and bad. It depends on. Usually 345 00:17:42,680 --> 00:17:45,080 Speaker 1: by the time it hits us, it's it's not terrible. 346 00:17:45,080 --> 00:17:47,080 Speaker 1: I mean, we we have gotten some bad ones over 347 00:17:47,080 --> 00:17:50,280 Speaker 1: the years. But usually if you could if you could 348 00:17:50,280 --> 00:17:52,560 Speaker 1: plan for, you know, being in the woods at the 349 00:17:52,640 --> 00:17:55,360 Speaker 1: end of that that front coming through or that hurricane 350 00:17:55,400 --> 00:17:57,920 Speaker 1: coming through, I mean, you can catch some pretty good movement. Um. 351 00:17:58,000 --> 00:17:59,840 Speaker 1: You know, if if it comes through and it's really 352 00:18:00,040 --> 00:18:02,760 Speaker 1: it's really harsh, I mean, that's obviously gonna gonna gonna 353 00:18:02,800 --> 00:18:06,920 Speaker 1: slow to your down for the duration of of the storm. Um, 354 00:18:07,000 --> 00:18:09,359 Speaker 1: but I think it could be you know, I mean 355 00:18:09,359 --> 00:18:10,800 Speaker 1: as long as you're not right on the coast like 356 00:18:10,840 --> 00:18:12,479 Speaker 1: where I'm out. I'm not right on the coast. I'm 357 00:18:12,520 --> 00:18:15,120 Speaker 1: kind of north western New Jersey, kind of in the mountains, 358 00:18:15,119 --> 00:18:18,359 Speaker 1: so it doesn't really get pounded too bad. So it 359 00:18:18,400 --> 00:18:21,040 Speaker 1: all depends on the severity of it. Um, it could 360 00:18:21,040 --> 00:18:23,240 Speaker 1: it could go either way going forward. Then in the 361 00:18:23,280 --> 00:18:25,160 Speaker 1: next week or so, what do you think that bucket 362 00:18:25,160 --> 00:18:27,000 Speaker 1: activity is going to be on a scale of one 363 00:18:27,080 --> 00:18:29,800 Speaker 1: to tend in New Jersey, I'm gonna bump it up 364 00:18:29,920 --> 00:18:34,560 Speaker 1: to a seven or eight. I would say this upcoming weekend, 365 00:18:34,920 --> 00:18:36,560 Speaker 1: you know, we got our first temperatures that are that 366 00:18:36,600 --> 00:18:40,119 Speaker 1: are gonna be hitting the mid to low forties uh 367 00:18:40,240 --> 00:18:44,240 Speaker 1: over overnight highs of like I think it's sixty sixty three. Um, 368 00:18:44,280 --> 00:18:46,240 Speaker 1: so that's I think that's our first real cold front 369 00:18:46,280 --> 00:18:48,800 Speaker 1: of the year. Um. I think if you know, guys 370 00:18:48,800 --> 00:18:51,639 Speaker 1: are having played it smart and they jump in the 371 00:18:51,640 --> 00:18:54,639 Speaker 1: woods this weekend, they could get a crack at you know, 372 00:18:54,680 --> 00:18:57,240 Speaker 1: the book that they've been watching all summers. So, um, 373 00:18:57,280 --> 00:18:58,680 Speaker 1: I think it's I think it's gonna drop up so 374 00:18:58,800 --> 00:19:02,080 Speaker 1: probably like an eight. Like your optimism, Patrick, good luck 375 00:19:02,080 --> 00:19:03,800 Speaker 1: with the rest of your season and thanks for joining me, 376 00:19:05,080 --> 00:19:08,640 Speaker 1: thank you all right, and joining us on the line 377 00:19:08,680 --> 00:19:12,040 Speaker 1: next is Keith Thompson and Montana from Montana White Tails. 378 00:19:12,119 --> 00:19:14,240 Speaker 1: Now Keith in Montana, what would you say the buck 379 00:19:14,280 --> 00:19:16,640 Speaker 1: activity has been lately on a scale of one to ten, 380 00:19:17,520 --> 00:19:20,720 Speaker 1: no better than a four. It's it's been pretty hot here, 381 00:19:21,040 --> 00:19:25,120 Speaker 1: kind of wacky weather. We had snowstorm about a week 382 00:19:25,160 --> 00:19:28,560 Speaker 1: ago and then it was been in the nineties the 383 00:19:28,640 --> 00:19:32,200 Speaker 1: last few days. So the deer have not been moving 384 00:19:32,240 --> 00:19:34,600 Speaker 1: too much. Everything is still really green too, so we're 385 00:19:35,320 --> 00:19:36,920 Speaker 1: struggling to get them to come out of the river 386 00:19:36,960 --> 00:19:39,720 Speaker 1: bottoms into the alfausa fields that seed. They're seeing some deer, 387 00:19:39,760 --> 00:19:42,000 Speaker 1: but most of the older maturity deer haven't been showing 388 00:19:42,080 --> 00:19:44,960 Speaker 1: up much. Do you put any stock in what the 389 00:19:45,000 --> 00:19:47,960 Speaker 1: moon is doing this time of year? Um, I mean, 390 00:19:48,000 --> 00:19:50,840 Speaker 1: I can definitely have its effect. I know there's a 391 00:19:50,880 --> 00:19:54,120 Speaker 1: lot of different theories and opinions on that. Um. I mean, 392 00:19:54,800 --> 00:19:56,919 Speaker 1: we basically are doing the same thing no matter what 393 00:19:57,200 --> 00:19:59,280 Speaker 1: I mean. We weren't hunting transition in the morning and 394 00:19:59,280 --> 00:20:02,880 Speaker 1: food and even most times, so we kind of get 395 00:20:02,920 --> 00:20:05,280 Speaker 1: the wind right and and hunt and see what happened. 396 00:20:05,280 --> 00:20:08,880 Speaker 1: Now you mentioned that everything is still green. What does 397 00:20:08,880 --> 00:20:11,200 Speaker 1: that mean for the food sources that you're focused on 398 00:20:11,359 --> 00:20:13,920 Speaker 1: this time of year in Montana, it's been tough because 399 00:20:13,920 --> 00:20:15,920 Speaker 1: they said, we really rely on the off half the 400 00:20:16,000 --> 00:20:19,320 Speaker 1: field as a, you know, a drawing factor to get 401 00:20:19,320 --> 00:20:22,640 Speaker 1: those bigger bucks out, and with the river bottoms being 402 00:20:22,680 --> 00:20:25,639 Speaker 1: so green or so much brows, they haven't having to 403 00:20:25,720 --> 00:20:29,040 Speaker 1: show themselves in daylight, so it's been making it a 404 00:20:29,080 --> 00:20:32,080 Speaker 1: little bit more difficult. Are you seeing bachelor groups still 405 00:20:32,080 --> 00:20:35,600 Speaker 1: together and you're still seeing any bucks that have velvet um? 406 00:20:35,680 --> 00:20:38,040 Speaker 1: There's a there's just actually we saw a young buck 407 00:20:38,080 --> 00:20:40,359 Speaker 1: the other day that was still in velvet. Most of 408 00:20:40,359 --> 00:20:43,400 Speaker 1: the mature gear seemed to be out. As far as 409 00:20:43,400 --> 00:20:45,640 Speaker 1: the bachelor groups go. We're seeing some of the younger 410 00:20:45,680 --> 00:20:48,280 Speaker 1: bucks group up yet. But the we killed two good 411 00:20:48,280 --> 00:20:50,960 Speaker 1: white tails this week. They were both by themselves. So 412 00:20:51,359 --> 00:20:53,960 Speaker 1: tell me about the setups when you had your clients 413 00:20:54,080 --> 00:20:56,879 Speaker 1: kill those deer. The first buck we shot this week 414 00:20:57,280 --> 00:21:00,160 Speaker 1: was sitting over in alf half the field and ironicle, 415 00:21:00,320 --> 00:21:02,680 Speaker 1: he was the first deer that came out that night, 416 00:21:02,880 --> 00:21:04,919 Speaker 1: and it was like five thirty in the afternoon, So 417 00:21:05,760 --> 00:21:10,800 Speaker 1: not your yeah, not not usually typically what happens, but 418 00:21:11,280 --> 00:21:15,000 Speaker 1: it worked so and the client that I had just 419 00:21:15,040 --> 00:21:17,720 Speaker 1: had out the other night. We actually shot that deer 420 00:21:17,800 --> 00:21:21,480 Speaker 1: while elk hunting. We were working through a creek bottom 421 00:21:21,560 --> 00:21:23,320 Speaker 1: and just so happened to look up and saw the 422 00:21:23,359 --> 00:21:25,960 Speaker 1: deer actually feeding down the creek bottom to us, and 423 00:21:26,600 --> 00:21:28,520 Speaker 1: we set up and he walked right to us to 424 00:21:28,600 --> 00:21:31,800 Speaker 1: thirty yards. So it was kind of a bonus kill. Really, 425 00:21:31,840 --> 00:21:35,280 Speaker 1: we weren't even targeting white tails worked out that way 426 00:21:35,400 --> 00:21:37,840 Speaker 1: with the elk rot about to cut loose, does that 427 00:21:37,960 --> 00:21:40,560 Speaker 1: change anything for your white tail setups? Does it push 428 00:21:40,600 --> 00:21:42,720 Speaker 1: deer out of certain areas or kick them off of 429 00:21:42,760 --> 00:21:46,000 Speaker 1: certain food sources? Yeah? I agree. I mean they're definitely 430 00:21:46,080 --> 00:21:50,359 Speaker 1: bouncing around. Um, we're lucky to have the river bottom 431 00:21:50,359 --> 00:21:52,760 Speaker 1: where mostly it's just the white tails. I mean, every 432 00:21:52,760 --> 00:21:54,200 Speaker 1: once in a while we'll get some of the elk 433 00:21:54,240 --> 00:21:57,640 Speaker 1: down into there. Um, generally we don't have too big 434 00:21:57,680 --> 00:21:59,919 Speaker 1: of a problem as far as you know, one her 435 00:22:00,240 --> 00:22:02,359 Speaker 1: the other one, because we're kind of targeting them in 436 00:22:02,400 --> 00:22:05,760 Speaker 1: different areas In a place like southern Montana where there's 437 00:22:05,840 --> 00:22:08,119 Speaker 1: big temperature swings this time of year. How does your 438 00:22:08,160 --> 00:22:11,200 Speaker 1: strategy change when you get that cold front move in? 439 00:22:11,480 --> 00:22:13,520 Speaker 1: It really helps them hit the food. I mean some 440 00:22:13,600 --> 00:22:16,240 Speaker 1: of the natural brows will die off if it gets 441 00:22:16,400 --> 00:22:20,560 Speaker 1: below freezing. And you know that alfalfa really thrives for us, 442 00:22:20,640 --> 00:22:22,720 Speaker 1: then I think the deer kind of go more or 443 00:22:22,800 --> 00:22:25,359 Speaker 1: less into panic mode as oh crap, we need to eat, 444 00:22:25,440 --> 00:22:29,040 Speaker 1: you know, And our fields will double in deer numbers 445 00:22:29,040 --> 00:22:31,280 Speaker 1: as soon as we start. Once we get the first frost, 446 00:22:31,359 --> 00:22:35,119 Speaker 1: our fields will definitely double in deer numbers going forward. Then, 447 00:22:35,119 --> 00:22:36,680 Speaker 1: in the next week or so, what do you think 448 00:22:36,680 --> 00:22:38,720 Speaker 1: that buck activity is going to be on a scale 449 00:22:38,760 --> 00:22:41,959 Speaker 1: of one to tending Montana? Unfortunately, I don't think it's 450 00:22:41,960 --> 00:22:44,360 Speaker 1: gonna get much better. I mean, I saw the Dematrians 451 00:22:44,400 --> 00:22:47,040 Speaker 1: are supposed to cool down a little bit, but I 452 00:22:47,080 --> 00:22:50,159 Speaker 1: don't think it's gonna be enough to really get some 453 00:22:50,200 --> 00:22:52,520 Speaker 1: of those older, mature deer on their feet yet. So 454 00:22:52,920 --> 00:22:55,760 Speaker 1: I'm waiting for a frost, that's for sure. Alright. Keith, 455 00:22:55,840 --> 00:22:57,879 Speaker 1: good luck to you and your clients. Thanks for joining me. 456 00:22:58,400 --> 00:23:01,160 Speaker 1: Thank you are in joining us on the line. Next 457 00:23:01,320 --> 00:23:04,680 Speaker 1: is Drew Carroll from seek Jue in Georgia. Now, Drew 458 00:23:04,760 --> 00:23:06,720 Speaker 1: in Georgia, what would you say the buck activity has 459 00:23:06,760 --> 00:23:10,280 Speaker 1: been lately on a scale of one to ten. Well, 460 00:23:10,520 --> 00:23:12,359 Speaker 1: I'd have to say it's up there close to a 461 00:23:12,400 --> 00:23:15,280 Speaker 1: ten in that eight to ten range. Based on the 462 00:23:15,320 --> 00:23:18,240 Speaker 1: fact that I just killed one yesterday. UM, we got 463 00:23:18,240 --> 00:23:19,840 Speaker 1: we got four guys on the team that have been 464 00:23:19,920 --> 00:23:24,080 Speaker 1: hunting the last three days. Season opened September twelve, and 465 00:23:24,560 --> 00:23:27,160 Speaker 1: we've all been seeing a lot of buck activity. UM. 466 00:23:27,760 --> 00:23:32,240 Speaker 1: Obviously very dependent on where you're hunting, but we actually 467 00:23:32,240 --> 00:23:34,760 Speaker 1: had somewhat of a cool front hit right before the 468 00:23:34,800 --> 00:23:36,840 Speaker 1: season started, so that's definitely gotten the bucks up on 469 00:23:36,840 --> 00:23:39,119 Speaker 1: their feet more than they had been kind of leading 470 00:23:39,200 --> 00:23:41,840 Speaker 1: up to the season. Now. I saw on Instagram some 471 00:23:41,920 --> 00:23:44,960 Speaker 1: teasers that you just killed your biggest white tail ever. 472 00:23:45,119 --> 00:23:47,040 Speaker 1: Tell us a little bit about that hunt and about 473 00:23:47,080 --> 00:23:51,480 Speaker 1: that deer. Yeah, yeah, So it's a It's actually a 474 00:23:51,480 --> 00:23:55,320 Speaker 1: spot that I've had for probably six years. UM. Killed 475 00:23:55,320 --> 00:23:59,359 Speaker 1: a buck there maybe five years ago, uh, in the 476 00:23:59,440 --> 00:24:02,120 Speaker 1: in the same area, but this particular spot I haven't 477 00:24:02,200 --> 00:24:06,520 Speaker 1: hunted until my first time was yesterday. So essentially I've 478 00:24:06,520 --> 00:24:09,680 Speaker 1: just been running uh feeders and trail cams on it 479 00:24:09,840 --> 00:24:12,080 Speaker 1: this whole time, just kind of waiting for the right opportunity, 480 00:24:12,960 --> 00:24:17,120 Speaker 1: and sure enough I had a buck there that basically 481 00:24:17,160 --> 00:24:21,040 Speaker 1: grew out on that lot all summer long. UM, and 482 00:24:21,119 --> 00:24:24,040 Speaker 1: here in Atlanta, like, we're hunting these really small blocks 483 00:24:24,119 --> 00:24:26,760 Speaker 1: and it is a total crapshoot whether or not that 484 00:24:26,800 --> 00:24:30,159 Speaker 1: buck will stick around once he sheds his velvet um. 485 00:24:30,359 --> 00:24:32,440 Speaker 1: Most of the time they won't. They typically start roaming 486 00:24:32,440 --> 00:24:37,320 Speaker 1: like crazy, And luckily this spot stuck around. He Uh, 487 00:24:37,480 --> 00:24:41,399 Speaker 1: there's awesome betting on the property, food and water super close. 488 00:24:41,920 --> 00:24:45,399 Speaker 1: So he was extremely consistent all summer and like leading 489 00:24:45,440 --> 00:24:49,680 Speaker 1: up into the season. Um. Crazy thing is the lot. 490 00:24:49,960 --> 00:24:52,240 Speaker 1: Most of the lot was torn down because they're building 491 00:24:52,240 --> 00:24:54,560 Speaker 1: a house on it. It was torn down like two 492 00:24:54,600 --> 00:24:57,159 Speaker 1: weeks before the season started, so I thought it was 493 00:24:57,160 --> 00:25:01,919 Speaker 1: going to completely screw it up. Uh. It did, caused 494 00:25:01,920 --> 00:25:06,520 Speaker 1: all the deer to go nocturnal. Um, but construction stopped 495 00:25:06,560 --> 00:25:09,640 Speaker 1: for a couple of days. Uh, I guess two days ago. 496 00:25:10,160 --> 00:25:12,159 Speaker 1: And when it when it stopped and all that activity stopped, 497 00:25:12,160 --> 00:25:14,080 Speaker 1: this deer started showing back up in daylight. And so 498 00:25:14,160 --> 00:25:17,359 Speaker 1: I got in there already had my stand hung uh 499 00:25:17,359 --> 00:25:22,640 Speaker 1: and shot him yesterday evening. So um crazy track job 500 00:25:22,680 --> 00:25:25,959 Speaker 1: on this one. The shot was about as perfect as 501 00:25:25,960 --> 00:25:28,840 Speaker 1: I could have put it, and we tracked him almost 502 00:25:28,920 --> 00:25:31,320 Speaker 1: un till midnight last night. Ended up backing out and 503 00:25:31,320 --> 00:25:34,080 Speaker 1: found him this morning. So I'm literally covered in blood 504 00:25:34,280 --> 00:25:37,080 Speaker 1: talking to you guys right now. We just finished up 505 00:25:37,680 --> 00:25:40,199 Speaker 1: getting process and everything. So I like that. I like 506 00:25:40,320 --> 00:25:43,800 Speaker 1: that hunting in an urban environment. How are the food 507 00:25:43,800 --> 00:25:47,080 Speaker 1: sources that you're focused on different than people are hunting 508 00:25:47,080 --> 00:25:51,080 Speaker 1: more traditional venues. Uh So, I don't think it's different 509 00:25:51,520 --> 00:25:53,520 Speaker 1: for the most part this time of year. I mean, 510 00:25:53,560 --> 00:25:58,000 Speaker 1: white oak white oaks are the key, and we're kind 511 00:25:58,000 --> 00:26:00,600 Speaker 1: of seeing him just start to drop right now. It's 512 00:26:00,640 --> 00:26:03,879 Speaker 1: it's very dependent on what area you're in. So like, 513 00:26:04,960 --> 00:26:07,600 Speaker 1: I've got areas where they're not dropping yet they're about to, 514 00:26:08,040 --> 00:26:11,040 Speaker 1: and then other areas where they're just dumping. Um, this 515 00:26:11,040 --> 00:26:13,400 Speaker 1: particular spot where I just killed this buck, they are 516 00:26:13,440 --> 00:26:16,800 Speaker 1: not dropping yet, which honestly played to my advantage because 517 00:26:17,720 --> 00:26:20,159 Speaker 1: we're allowed to bait in Georgia now. Um So I 518 00:26:20,240 --> 00:26:22,320 Speaker 1: just kept a feeder running that I've been there all 519 00:26:22,359 --> 00:26:25,280 Speaker 1: summer long, and he was staying consistent on it because 520 00:26:25,320 --> 00:26:29,720 Speaker 1: that was really the only solid foodspores they have. Um. Now, 521 00:26:30,720 --> 00:26:33,960 Speaker 1: if the acorns are dropping, that's when these deer get 522 00:26:34,000 --> 00:26:37,920 Speaker 1: extremely sporadic. You gotta cover a lot of ground. Um 523 00:26:37,960 --> 00:26:40,320 Speaker 1: that's why we just soak up as much hunting permission 524 00:26:40,359 --> 00:26:42,720 Speaker 1: as possible, run as many cameras as possible. So yeah, 525 00:26:42,720 --> 00:26:44,360 Speaker 1: but the White Oaks right now is where you need 526 00:26:44,359 --> 00:26:46,720 Speaker 1: to be. The bucks will walk over a bait pile 527 00:26:46,880 --> 00:26:49,080 Speaker 1: to go to White Oaks, and that's really going to 528 00:26:49,160 --> 00:26:52,240 Speaker 1: continue on into the rut. You mentioned that the property 529 00:26:52,280 --> 00:26:54,600 Speaker 1: you killed this deer on had water. How much of 530 00:26:54,640 --> 00:26:58,880 Speaker 1: a factor is water in your mid September haunts in Atlanta? 531 00:26:59,320 --> 00:27:02,639 Speaker 1: It's really not a huge factor, just because there's so 532 00:27:02,760 --> 00:27:06,800 Speaker 1: much water here. UM for people that haven't spent much 533 00:27:06,800 --> 00:27:11,119 Speaker 1: time in the suburbs of Atlanta. UM, it's not flat, like, 534 00:27:11,240 --> 00:27:15,040 Speaker 1: it's very hilly, a lot of ravines, tons of creek bottoms, 535 00:27:15,040 --> 00:27:16,840 Speaker 1: so these deer do not have to travel forward to 536 00:27:16,840 --> 00:27:21,199 Speaker 1: get water. UM. Almost all of our spots have some 537 00:27:21,320 --> 00:27:23,760 Speaker 1: sort of creek running through it, so we don't really 538 00:27:23,840 --> 00:27:26,359 Speaker 1: we don't really target that. But the thing is, like 539 00:27:26,400 --> 00:27:30,080 Speaker 1: in the suburbs, the waters where the woods are, because 540 00:27:30,119 --> 00:27:33,520 Speaker 1: that's where you can't develop. UM. So these little fingers 541 00:27:33,520 --> 00:27:36,920 Speaker 1: of woods are always following creek bottoms, floodplains and in 542 00:27:37,440 --> 00:27:39,680 Speaker 1: river bottoms and things like that, so it's it's pretty 543 00:27:39,720 --> 00:27:43,439 Speaker 1: much always close by. You guys were hunting Tennessee's opener 544 00:27:43,480 --> 00:27:46,520 Speaker 1: back in August, how have you seen deer patterns shift 545 00:27:46,720 --> 00:27:48,680 Speaker 1: over the last three weeks based on what you saw 546 00:27:48,760 --> 00:27:52,439 Speaker 1: then and what you're seeing now. Yeah, that's totally totally different. 547 00:27:52,480 --> 00:27:55,520 Speaker 1: I mean those bucks were still under velvet, still bachlard 548 00:27:55,560 --> 00:27:59,480 Speaker 1: grouped up, full bachelard groups. Um. I was hunting a 549 00:27:59,520 --> 00:28:03,200 Speaker 1: big bean field in Nashville, and so that's a completely 550 00:28:03,200 --> 00:28:07,920 Speaker 1: different scenario than what we're doing here in the Atlanta suburbs. Um. 551 00:28:08,000 --> 00:28:11,199 Speaker 1: The deer that Lee killed in Nashville was more of 552 00:28:11,200 --> 00:28:15,400 Speaker 1: a suburban deer, your typical suburban stuff. Um. And it's 553 00:28:15,440 --> 00:28:18,439 Speaker 1: the same deal. I mean they were that year was 554 00:28:18,760 --> 00:28:23,080 Speaker 1: I think focusing on just like a green food source. Um. 555 00:28:23,119 --> 00:28:25,439 Speaker 1: I think it was like a clover patch down in 556 00:28:25,480 --> 00:28:28,560 Speaker 1: this little meadow. And so essentially what these bucks do 557 00:28:28,640 --> 00:28:32,240 Speaker 1: is they have arrange is maybe a mile that time 558 00:28:32,280 --> 00:28:35,600 Speaker 1: of year, and they's hopping around like a bunch of 559 00:28:35,600 --> 00:28:37,399 Speaker 1: different little pockets of woods and you just have to 560 00:28:37,440 --> 00:28:40,960 Speaker 1: catch them at the right time at the right place. So, um, 561 00:28:41,000 --> 00:28:42,760 Speaker 1: you know, there's their stage and they're waiting for those 562 00:28:42,760 --> 00:28:45,560 Speaker 1: acorns to drop up there as well, but they're still 563 00:28:46,320 --> 00:28:48,640 Speaker 1: still in their groups. So they're they're more patentable at 564 00:28:48,640 --> 00:28:50,960 Speaker 1: that time of year, but obviously as soon as that 565 00:28:51,040 --> 00:28:54,560 Speaker 1: velvet comes off, things completely change. Going forward. Then in 566 00:28:54,560 --> 00:28:56,280 Speaker 1: the sixt week or so, what do you think that 567 00:28:56,280 --> 00:28:58,320 Speaker 1: bucket TV is going to be on a scale of 568 00:28:58,360 --> 00:29:01,640 Speaker 1: one to ten in Georgia. I think it's gonna be 569 00:29:02,280 --> 00:29:03,800 Speaker 1: this next week. I think it's gonna be a ten. 570 00:29:04,000 --> 00:29:06,600 Speaker 1: I mean, we have this tropical storm coming in, so 571 00:29:06,760 --> 00:29:10,560 Speaker 1: weather's looking pretty nasty out right now. So it's been 572 00:29:11,400 --> 00:29:17,200 Speaker 1: last week it was nineties four degrees it's like right now. Um, 573 00:29:17,240 --> 00:29:18,960 Speaker 1: I think we're gonna see a lot of bucks drop 574 00:29:19,240 --> 00:29:21,760 Speaker 1: this this week. If people actually get out there and 575 00:29:21,760 --> 00:29:24,360 Speaker 1: the breaks in this rain, that's when these are going 576 00:29:24,400 --> 00:29:26,280 Speaker 1: to be moving the most. So I think some big 577 00:29:26,320 --> 00:29:28,520 Speaker 1: bucks are gonna slip up here soon. All right, j 578 00:29:28,600 --> 00:29:31,200 Speaker 1: Will congrats again on the awesome deer. Looking forward to 579 00:29:31,200 --> 00:29:33,840 Speaker 1: seeing photos and videos of the haunt. Thanks for joining me, 580 00:29:34,520 --> 00:29:37,680 Speaker 1: Yes sir, thank you, And that concludes this week's episode 581 00:29:37,720 --> 00:29:41,640 Speaker 1: of rout Fresh Radio. Thanks to Tony, Patrick, Keith and 582 00:29:41,760 --> 00:29:44,480 Speaker 1: Drew for joining me, and thank you guys for listening. 583 00:29:44,920 --> 00:29:48,000 Speaker 1: As always, make sure you're subscribed to our newsletter at 584 00:29:48,080 --> 00:29:51,400 Speaker 1: Mediator White Tail weekly. You're gonna get a lot of 585 00:29:51,440 --> 00:29:55,640 Speaker 1: fresh content there from people like me, Mark, Tony Peterson, 586 00:29:55,800 --> 00:29:59,800 Speaker 1: Patrick Durkin, and others. Also today drop the new season 587 00:30:00,040 --> 00:30:02,680 Speaker 1: of Meat Eater on Netflix. I think you guys are 588 00:30:02,680 --> 00:30:05,520 Speaker 1: gonna love season nine. It's the best one yet and 589 00:30:05,520 --> 00:30:07,200 Speaker 1: it's I'm going to spend my time and to like 590 00:30:07,280 --> 00:30:10,840 Speaker 1: talk to you guys again next week. Until then, stay 591 00:30:10,840 --> 00:30:11,560 Speaker 1: wired to Hunt.