WEBVTT - https://subtitletools.com 00:00:05.516 --> 00:00:19.756 [ Music ] 00:00:20.256 --> 00:00:24.816 >> Next up we have Dr. Kari Meidenbauer from JHU/APL. 00:00:25.576 --> 00:00:27.676 Johnny alluded to it. 00:00:27.676 --> 00:00:32.536 It was news to me that the TSA administrator signed the 00:00:32.536 --> 00:00:34.126 document, our recommendation. 00:00:34.126 --> 00:00:36.336 You know, he told me before. 00:00:36.336 --> 00:00:38.736 He didn't spring it on me while I was sitting there. 00:00:38.736 --> 00:00:39.926 But I'm happy to hear 00:00:39.926 --> 00:00:42.556 that because we worked hard over last year. 00:00:42.556 --> 00:00:46.246 Congress had dictated in the appropriations language 00:00:46.246 --> 00:00:48.596 and all through, is a working group put together 00:00:48.596 --> 00:00:50.066 by all the stakeholders. 00:00:50.416 --> 00:00:54.706 We came up with, we had already been working on some kind 00:00:54.706 --> 00:01:00.836 of breeding consortium concept with Hopkins and S&T. 00:01:01.176 --> 00:01:05.686 And, you know, a large, the majority of the recommendations 00:01:05.686 --> 00:01:08.066 that went back, there's still some things to be worked out. 00:01:08.546 --> 00:01:09.796 The procurement, for instance. 00:01:09.796 --> 00:01:11.106 We still have a gap with that. 00:01:11.106 --> 00:01:15.436 But, you know, we finally got some traction with some support 00:01:15.536 --> 00:01:19.576 from Congress and industry folks 00:01:19.896 --> 00:01:23.096 to really put together what we're, you know, 00:01:23.156 --> 00:01:26.746 what we're calling kind of a breeding consortium. 00:01:26.746 --> 00:01:28.636 Whether we're taking advantage of the breeders. 00:01:28.636 --> 00:01:32.356 And, you know, we've tried certain government, 00:01:32.416 --> 00:01:35.346 federally sponsored breeding programs. 00:01:35.346 --> 00:01:36.886 You know, they've worked to a certain degree. 00:01:36.886 --> 00:01:38.946 But, you know, that's not what we recommend. 00:01:38.946 --> 00:01:40.666 And there's breeders out there. 00:01:40.666 --> 00:01:41.976 There's dogs available. 00:01:41.976 --> 00:01:43.066 There's willing partners. 00:01:43.066 --> 00:01:46.796 We want to be able to take advantage of that knowledge 00:01:47.066 --> 00:01:49.606 and help the working dog folks. 00:01:49.606 --> 00:01:51.926 Not only the TSAs and the federal partners, 00:01:51.966 --> 00:01:54.266 but also the state and local guys who are, you know, 00:01:54.266 --> 00:01:56.276 they're going to shelters. 00:01:56.276 --> 00:01:58.086 You know, they need some help with this. 00:01:58.366 --> 00:02:01.386 We also want to apply some science to be able to get 00:02:01.386 --> 00:02:03.646 to a better product at the end of the day. 00:02:03.646 --> 00:02:07.776 Is, so Kari's going to talk about this effort 00:02:07.776 --> 00:02:11.946 that we're piloting within S&T to do that. 00:02:12.586 --> 00:02:15.076 It's encouraging that the language is moving 00:02:15.076 --> 00:02:16.056 up through Congress. 00:02:16.056 --> 00:02:19.366 Because we're hoping this pilot sets the stage and works 00:02:19.366 --> 00:02:21.656 out some of the bugs on a smaller scale 00:02:22.006 --> 00:02:25.146 that we hope we get support to ramp up on a larger scale. 00:02:25.146 --> 00:02:27.096 So, Kari, I turn it over to you. 00:02:27.416 --> 00:02:28.076 Thank you. 00:02:28.576 --> 00:02:31.876 [ Applause ] 00:02:32.376 --> 00:02:32.786 >> All right. 00:02:32.986 --> 00:02:34.176 Good morning everybody. 00:02:34.176 --> 00:02:35.516 And thanks for bearing with us. 00:02:35.576 --> 00:02:37.226 So I'm the last technical talk. 00:02:37.226 --> 00:02:39.326 And you're all still here, so that's good. 00:02:39.556 --> 00:02:41.606 But my name is Dr. Kari Meidenbauer. 00:02:42.296 --> 00:02:44.676 I'm a member of the JHU/APL team. 00:02:44.676 --> 00:02:45.896 And I'm their staff veterinarian. 00:02:45.896 --> 00:02:48.096 And I'm also the technical co-lead 00:02:48.096 --> 00:02:51.556 for the explosive detection domestic breeding consortium 00:02:51.786 --> 00:02:53.766 that is sponsored by DHS S&T. 00:02:54.176 --> 00:02:57.156 And my other co-lead David Deglau is also here. 00:02:57.156 --> 00:03:00.736 So once I go through this, I'm doing like the 10,000 foot view. 00:03:01.006 --> 00:03:02.686 There's lots of technical details on this. 00:03:02.686 --> 00:03:05.676 I could brief you for hours, which nobody wants me to do. 00:03:05.676 --> 00:03:08.606 So please come up and ask us questions afterwards. 00:03:08.606 --> 00:03:11.436 I'm happy to dig into any of the details. 00:03:11.436 --> 00:03:11.856 All right. 00:03:11.976 --> 00:03:13.786 So a little bit of background, 00:03:13.786 --> 00:03:16.116 a look back at what initially drove this effort. 00:03:16.466 --> 00:03:19.956 So back in 2018 the DHS Appropriations Act came out. 00:03:20.006 --> 00:03:23.406 And it was focusing on the need to meet the increasing demand 00:03:23.406 --> 00:03:25.106 for explosive detection canines. 00:03:25.266 --> 00:03:28.046 It was looking at and evaluating the feasibility 00:03:28.046 --> 00:03:30.226 of developing a dedicated breeding program. 00:03:30.226 --> 00:03:32.436 And it really wanted to focus on what the cost would be 00:03:32.436 --> 00:03:33.416 for something like that. 00:03:33.776 --> 00:03:34.946 The length of time something 00:03:34.946 --> 00:03:37.036 like that would need to start up. 00:03:37.476 --> 00:03:39.416 As well as how do we differentiate 00:03:39.416 --> 00:03:41.096 between the quality dogs that might come 00:03:41.096 --> 00:03:42.136 out of such a program. 00:03:42.486 --> 00:03:45.626 And the current dogs that we procure from overseas 00:03:45.626 --> 00:03:47.766 and from the current venues that we get dogs from. 00:03:48.716 --> 00:03:50.526 In addition, it was looking at, you know, 00:03:50.526 --> 00:03:52.656 how TSA could do a department-wide breeding program 00:03:52.656 --> 00:03:54.456 versus just a department-specific one. 00:03:54.456 --> 00:03:56.156 Because of the numerous challenges we've had in the past 00:03:56.386 --> 00:03:57.816 with the department-specific programs. 00:03:58.436 --> 00:04:00.986 In addition to this effort, S&T was also tasked 00:04:01.326 --> 00:04:03.456 under the appropriations act to look at this 00:04:03.456 --> 00:04:05.266 from a scientific perspective. 00:04:05.696 --> 00:04:08.476 So we wanted to look at, how do we integrate best practices, 00:04:08.476 --> 00:04:11.356 and genetics, genomics, breeding, olfaction. 00:04:11.356 --> 00:04:13.706 As well as behavior training and, 00:04:13.706 --> 00:04:15.766 or physiology and metrology. 00:04:16.826 --> 00:04:19.416 In addition to this, you know, as it was just referred to. 00:04:19.416 --> 00:04:21.866 During the H.R.302, we were tasked 00:04:21.866 --> 00:04:23.146 to set up a working group. 00:04:23.536 --> 00:04:25.146 And so we did sit on that working group. 00:04:25.146 --> 00:04:27.466 And thankfully the conclusions that came out with that group 00:04:27.466 --> 00:04:30.576 of technical experts paralleled beautifully with the effort 00:04:30.576 --> 00:04:32.786 that we have already started in the pilot 00:04:32.786 --> 00:04:34.076 that we're beginning this year. 00:04:34.076 --> 00:04:37.156 And so, as you know, this last bullet is, it's just, 00:04:37.306 --> 00:04:39.586 it's been confirmed that it actually is supported 00:04:39.586 --> 00:04:40.756 by the TSA administrator. 00:04:40.756 --> 00:04:43.556 Which is great news, as I said before and start talking 00:04:43.556 --> 00:04:44.626 about the details here. 00:04:45.106 --> 00:04:46.416 So the objectives. 00:04:46.416 --> 00:04:47.576 So why are we doing this? 00:04:47.576 --> 00:04:49.816 Initially, it was to meet that congressional call. 00:04:50.156 --> 00:04:52.466 In addition, we have an expanding need 00:04:52.526 --> 00:04:56.016 and no availability really of domestic supply 00:04:56.016 --> 00:04:57.556 for explosive detection canines. 00:04:57.556 --> 00:05:00.416 Right now a great number of our dogs do come from overseas. 00:05:00.416 --> 00:05:02.936 And there's a lot of challenges, as you can imagine, with that. 00:05:03.536 --> 00:05:06.246 First, the continuity of supply is a huge issue. 00:05:06.246 --> 00:05:07.996 The issues of political influences 00:05:07.996 --> 00:05:09.066 and cultural challenges. 00:05:09.066 --> 00:05:11.756 And then also getting the dogs here is a huge issue. 00:05:11.756 --> 00:05:13.256 So we have to go on these buy trips. 00:05:13.326 --> 00:05:14.056 Collect the dogs. 00:05:14.166 --> 00:05:14.706 Bring them back. 00:05:14.766 --> 00:05:15.246 Test them. 00:05:15.246 --> 00:05:16.176 And then, if they fail, 00:05:16.556 --> 00:05:18.246 the issues with missed opportunity costs 00:05:18.246 --> 00:05:19.416 with that too are huge. 00:05:19.916 --> 00:05:21.886 We're also interested in developing a line of canines 00:05:21.886 --> 00:05:24.186 that are suitable for, not only the immediate needs, 00:05:24.516 --> 00:05:26.156 but as well as the long-term demand. 00:05:26.336 --> 00:05:30.126 So our needs in this space have changed drastically 00:05:30.126 --> 00:05:32.806 over the last two decades and even the last decade to meet, 00:05:32.806 --> 00:05:35.016 you know, the challenges our adversaries are placing 00:05:35.016 --> 00:05:35.546 in front of us. 00:05:35.546 --> 00:05:37.966 And, you know, how do we enhance this technology 00:05:37.966 --> 00:05:39.666 to be even better to meet those challenges. 00:05:39.666 --> 00:05:42.736 Our goal is to take a scientific-based approach 00:05:42.736 --> 00:05:44.846 that can endure and improve over time. 00:05:44.926 --> 00:05:47.366 As well as collaborate with the current infrastructure. 00:05:47.536 --> 00:05:49.866 So how do we do this without reinventing the wheel? 00:05:49.926 --> 00:05:53.076 You know, there's huge groups of canine advocates and breeders 00:05:53.076 --> 00:05:54.426 and different interest groups out there. 00:05:54.776 --> 00:05:56.756 How do we build into that structure versus trying 00:05:56.756 --> 00:05:58.746 to build a parallel one that's not as accessible? 00:05:59.436 --> 00:06:02.716 In addition, we want to be able to develop a qualitative, 00:06:02.856 --> 00:06:05.556 unbiased improvement methodology for selection 00:06:05.556 --> 00:06:06.956 and breeding of working dogs. 00:06:07.416 --> 00:06:10.176 You know, Don mentioned the focus on EDC's for this project. 00:06:10.176 --> 00:06:11.736 But also what do we do with those dogs 00:06:11.736 --> 00:06:14.016 that don't meet the EDC requirements? 00:06:14.016 --> 00:06:16.296 So for breeding dogs, obviously, not every dog bred 00:06:16.296 --> 00:06:18.196 out of this program is going to be the perfect EDC. 00:06:18.256 --> 00:06:20.916 We hear trainers who can look at a litter 00:06:20.916 --> 00:06:22.096 and pick out three puppies. 00:06:22.096 --> 00:06:23.276 And be like, they're going to be great. 00:06:23.276 --> 00:06:24.346 The rest of them I don't care about. 00:06:24.466 --> 00:06:27.496 So how do we take that knowledge that the trainers has just 00:06:27.496 --> 00:06:29.806 from experience and create something that's measurable 00:06:29.806 --> 00:06:33.206 and quantitative to select those dogs reliably to go 00:06:33.206 --> 00:06:35.566 to their EDC discipline and be operational canines? 00:06:35.566 --> 00:06:37.006 And how do we take the other dogs and figure 00:06:37.006 --> 00:06:37.636 out where they fit best? 00:06:37.906 --> 00:06:39.616 If we're breeding with intention, 00:06:39.616 --> 00:06:40.676 these should all be good dogs. 00:06:40.676 --> 00:06:42.746 So maybe they'll be great search and rescue dogs. 00:06:42.746 --> 00:06:44.436 Or maybe they'll be great seeing eye dogs. 00:06:44.806 --> 00:06:47.106 How do we take them and apply them to different disciplines? 00:06:47.236 --> 00:06:48.746 So that's part of this as well. 00:06:49.086 --> 00:06:51.436 And also minimizing the lost opportunity costs, 00:06:51.436 --> 00:06:52.176 as I mentioned. 00:06:52.176 --> 00:06:53.396 Decreasing dropout rates. 00:06:53.396 --> 00:06:54.826 Increasing acceptance rates. 00:06:55.046 --> 00:06:56.326 And, most importantly, 00:06:56.326 --> 00:06:58.186 increasing the operational lifespan. 00:06:58.186 --> 00:07:00.836 We want to create a community with this. 00:07:00.936 --> 00:07:03.246 So one of the other interesting things is if we think 00:07:03.246 --> 00:07:04.626 about canine interest groups 00:07:04.626 --> 00:07:06.796 in the United States, there's tons of them. 00:07:06.836 --> 00:07:07.956 You know, we have the AKC 00:07:07.956 --> 00:07:09.546 and the breed-specific interest groups. 00:07:09.856 --> 00:07:11.886 We have the seeing eye dogs are a great example of what 00:07:11.886 --> 00:07:13.866 that looks like to create a culture and a community 00:07:13.866 --> 00:07:14.926 that supports breeding. 00:07:14.926 --> 00:07:17.956 And tries to really improve their specialty dogs. 00:07:18.316 --> 00:07:19.936 Also hunt dogs, they're great at that. 00:07:20.146 --> 00:07:21.196 But we don't have anything 00:07:21.196 --> 00:07:23.056 like that currently available for the EDC. 00:07:23.086 --> 00:07:25.466 We have a couple testing things out there. 00:07:25.506 --> 00:07:28.096 But a lot of inconsistencies across the community. 00:07:28.456 --> 00:07:31.336 So how do we as a group develop a culture and a community 00:07:31.336 --> 00:07:34.756 around EDC's that will support developing high quality dogs 00:07:34.866 --> 00:07:36.106 to meet, not only government needs, 00:07:36.196 --> 00:07:37.656 but needs as a whole as a nation? 00:07:37.656 --> 00:07:39.386 And then, most importantly, 00:07:39.386 --> 00:07:41.396 is that this consortium will develop a canine, 00:07:41.556 --> 00:07:43.096 working canine data bank. 00:07:43.096 --> 00:07:44.706 And so this will be a national resource 00:07:44.756 --> 00:07:46.166 that we can use for years to come. 00:07:46.546 --> 00:07:49.646 Right now we have really minimal data for longitudinal studies 00:07:49.646 --> 00:07:50.746 of operational canines. 00:07:50.746 --> 00:07:53.656 And very minimal data on early development strategies. 00:07:53.656 --> 00:07:56.106 And how do we take these puppies and create good dogs? 00:07:56.686 --> 00:07:58.956 So that's a huge component of this project as well. 00:07:59.216 --> 00:08:02.406 The three, or excuse me, four major components 00:08:02.406 --> 00:08:04.046 of this effort are shown here. 00:08:04.186 --> 00:08:05.306 I'm going to touch on them here, 00:08:05.306 --> 00:08:07.146 and then I'll get a little bit more into technical detail. 00:08:07.196 --> 00:08:08.776 But, as I said, we're keeping it high level 00:08:08.776 --> 00:08:09.526 because this is short. 00:08:10.046 --> 00:08:11.966 First is phenotype characterization. 00:08:11.966 --> 00:08:14.076 Which is the quantitative evaluation 00:08:14.076 --> 00:08:15.896 and identification of canine's health. 00:08:16.266 --> 00:08:18.746 As well as physical and behavioral characteristics. 00:08:19.346 --> 00:08:21.686 So if you're not familiar with the term "phenotype," it's going 00:08:21.686 --> 00:08:24.316 to be the outward manifestation of genetic traits. 00:08:24.376 --> 00:08:26.736 So you can think about it, the overall health of the dog. 00:08:26.806 --> 00:08:28.386 The behaviors that they display. 00:08:28.386 --> 00:08:29.586 And what we're interested in. 00:08:30.136 --> 00:08:31.166 Canine selection. 00:08:31.446 --> 00:08:33.206 So incorporating phenotype evaluation 00:08:33.206 --> 00:08:34.266 with operational needs. 00:08:34.386 --> 00:08:37.326 And using weighting factors to select that optimum canine. 00:08:37.456 --> 00:08:39.966 And then we have our breeding and development. 00:08:40.046 --> 00:08:43.316 Selecting breeds and developing explosive detection canines 00:08:43.316 --> 00:08:44.766 by use of the consortium approach. 00:08:44.766 --> 00:08:46.896 And supporting other facets of the program. 00:08:47.136 --> 00:08:49.136 And last, but not least, the genotype effort. 00:08:49.136 --> 00:08:50.776 Which is a part of this as well as looking 00:08:50.776 --> 00:08:54.016 at combining biological sampling with health and performance data 00:08:54.486 --> 00:08:57.676 to develop models and inform the breeding and user community 00:08:57.676 --> 00:08:59.606 for the goal of advancing breeding 00:08:59.606 --> 00:09:01.486 and occupational expectations. 00:09:02.126 --> 00:09:03.326 So out of those four circles, 00:09:03.326 --> 00:09:05.106 we're getting four primary products 00:09:05.106 --> 00:09:06.246 out of the consortium as well. 00:09:06.246 --> 00:09:07.846 Now, these products will be available 00:09:07.846 --> 00:09:09.196 to the whole user community. 00:09:09.196 --> 00:09:11.736 As well as all consortium participants. 00:09:11.736 --> 00:09:13.296 And they're going to be the phenotype survey. 00:09:13.696 --> 00:09:15.906 Which is an evaluation of the dog's traits. 00:09:16.206 --> 00:09:16.886 That's pooled together. 00:09:16.886 --> 00:09:18.646 So basically all the traits that we're looking 00:09:18.646 --> 00:09:20.886 for that we want operational canines to have. 00:09:21.416 --> 00:09:23.006 We also have the canine selection tool. 00:09:23.006 --> 00:09:25.726 Which is the application of that phenotype evaluation. 00:09:25.726 --> 00:09:27.066 So how do we collect those things? 00:09:27.066 --> 00:09:29.256 And then weight them to understand what kind of traits, 00:09:29.256 --> 00:09:30.746 like how much of this trait do we want 00:09:30.746 --> 00:09:31.976 to see in a successful dog? 00:09:31.976 --> 00:09:33.666 And you can choose based on that. 00:09:33.666 --> 00:09:35.386 And potentially apply it to other disciplines. 00:09:35.386 --> 00:09:37.436 Change the weighting and say, this is actually the weighting 00:09:37.436 --> 00:09:39.496 of those traits I want for a seeing eye dog. 00:09:39.496 --> 00:09:40.736 Or a search and rescue dog. 00:09:41.246 --> 00:09:43.526 Also, obviously, the outcome of this consortium is going 00:09:43.526 --> 00:09:44.626 to be program-sourced canines. 00:09:44.656 --> 00:09:45.386 We want dogs. 00:09:45.456 --> 00:09:48.356 So you saw those huge numbers that Mr. Diller posted. 00:09:48.406 --> 00:09:50.026 You know, TSA has a growing demand. 00:09:50.026 --> 00:09:51.816 And that's not the only agency interested 00:09:51.816 --> 00:09:53.246 in explosive detection canines. 00:09:53.666 --> 00:09:55.136 So how do we meet that growing demand 00:09:55.136 --> 00:09:56.446 with domestically sourced dogs? 00:09:56.866 --> 00:09:59.516 And last, but not least, is using that genotype effort 00:09:59.616 --> 00:10:01.886 to develop predictive health and performance models. 00:10:01.956 --> 00:10:05.796 So I'm going to fly through these a little bit just 00:10:05.796 --> 00:10:07.936 because we're going to be time tight here. 00:10:08.036 --> 00:10:10.156 But the phenotype characterization overview. 00:10:10.576 --> 00:10:12.916 So we want to look at, what are the qual-, 00:10:12.916 --> 00:10:15.796 or quantitative measures that we can use to look at the dog? 00:10:15.886 --> 00:10:18.436 We want to identify and categorize phenotypes based 00:10:18.436 --> 00:10:19.586 on existing knowledge base. 00:10:19.586 --> 00:10:21.936 And we've been pulling that from the user community 00:10:21.936 --> 00:10:23.316 and from the research community. 00:10:23.376 --> 00:10:26.876 So there's a ton of different evaluations out there for dogs. 00:10:27.376 --> 00:10:28.366 And I say dogs as a whole 00:10:28.366 --> 00:10:30.446 because there's not many specific for working dogs. 00:10:30.486 --> 00:10:31.546 There's a ton for pet dogs. 00:10:31.606 --> 00:10:34.576 But what characteristics, what phenotypes are we looking 00:10:34.576 --> 00:10:37.156 for in a successful operational canine? 00:10:37.516 --> 00:10:39.546 So first we got classify all those phenotypes. 00:10:39.546 --> 00:10:42.186 And then we got to figure out how much the presence or absence 00:10:42.186 --> 00:10:44.236 of that trait is desirable in the end user, 00:10:44.236 --> 00:10:45.376 in the operational canine. 00:10:45.376 --> 00:10:48.016 And so that's been a huge part of this phenotype survey. 00:10:48.016 --> 00:10:50.216 And then also developing an evaluation 00:10:50.216 --> 00:10:52.756 where a non-subject matter expert can go in and look 00:10:52.756 --> 00:10:54.006 at these dogs at different ages. 00:10:54.066 --> 00:10:55.416 So looking at puppies. 00:10:55.416 --> 00:10:57.396 How are these traits being displayed in puppies? 00:10:57.396 --> 00:10:59.126 How are they being displayed in young dogs? 00:10:59.516 --> 00:11:01.576 How are they being displayed once the dog's trained? 00:11:01.576 --> 00:11:02.276 And the differences 00:11:02.316 --> 00:11:03.956 that training can have on those traits. 00:11:04.476 --> 00:11:06.626 And really capturing what's the natural manifestation 00:11:06.626 --> 00:11:08.526 of the phenotype versus the trained one? 00:11:08.976 --> 00:11:10.696 And so that's all components of this. 00:11:10.696 --> 00:11:13.436 And weighing it so we can quantitatively select those dogs 00:11:13.826 --> 00:11:15.146 with a scientific backing. 00:11:16.486 --> 00:11:18.266 The canine selection tool with that. 00:11:18.336 --> 00:11:20.046 So it comes into, how do we apply 00:11:20.046 --> 00:11:22.146 that phenotype characterization so the traits 00:11:22.146 --> 00:11:24.946 that we're defining, how do we then apply it 00:11:24.946 --> 00:11:26.966 to selecting a successful EDC? 00:11:26.966 --> 00:11:28.846 Or other occupation as well? 00:11:29.566 --> 00:11:32.456 We're looking at specifically canine-based factors as well 00:11:32.456 --> 00:11:33.796 as end-use derived factors. 00:11:33.796 --> 00:11:36.356 So that's including, you know, availability of the dogs. 00:11:36.356 --> 00:11:38.016 How you pick based on what's there? 00:11:38.016 --> 00:11:40.066 And then also time to train. 00:11:40.156 --> 00:11:41.096 Service lifespan. 00:11:41.096 --> 00:11:43.586 And the huge part of canine selection too is, 00:11:43.586 --> 00:11:44.736 that we're looking at with this, 00:11:44.806 --> 00:11:47.276 is where the phenotype meets the end user. 00:11:47.276 --> 00:11:49.086 So that came up a few times. 00:11:49.126 --> 00:11:50.326 This is for the end users. 00:11:50.326 --> 00:11:52.236 You know, we want to get these dogs into the hands 00:11:52.236 --> 00:11:54.416 of the operational handlers and the end users. 00:11:54.846 --> 00:11:57.106 So the canine selection tool is for them to be able to go 00:11:57.106 --> 00:11:58.596 in there with scientific knowledge. 00:11:58.896 --> 00:12:02.176 Without us having to teach them about phenotypes or genotypes. 00:12:02.176 --> 00:12:04.396 Or all of the crazy science things that get really complex. 00:12:04.866 --> 00:12:07.276 They can take this tool and then use a scientific approach 00:12:07.316 --> 00:12:07.866 to pick a dog. 00:12:09.606 --> 00:12:10.706 The genotype effort. 00:12:10.976 --> 00:12:13.696 So at a high level the big thing is using canine genetics 00:12:13.726 --> 00:12:15.706 to establish a scientific knowledge base 00:12:15.706 --> 00:12:16.856 of working canines. 00:12:17.446 --> 00:12:18.886 The models will be used to support 00:12:18.886 --> 00:12:20.536 and inform breeding decisions. 00:12:20.716 --> 00:12:21.826 Health and longevity. 00:12:21.956 --> 00:12:23.836 Training and socialization practices. 00:12:23.836 --> 00:12:24.776 And canine selection. 00:12:24.776 --> 00:12:28.056 And the goal is that we see both immediate and long-term benefits 00:12:28.056 --> 00:12:32.016 in breeding, training, and the overall EDC canine product. 00:12:32.366 --> 00:12:33.896 Plus existing traits that have been matched 00:12:33.896 --> 00:12:36.336 in other breeds can now be selected or avoided. 00:12:36.336 --> 00:12:37.086 Which is huge. 00:12:37.086 --> 00:12:39.036 So using those blood sampling techniques, 00:12:39.036 --> 00:12:40.286 we can do genotyping. 00:12:40.616 --> 00:12:42.766 Look for specific traits of interest or concern. 00:12:42.766 --> 00:12:44.096 And then select based on that. 00:12:44.176 --> 00:12:45.836 So this is going to parallel and partner 00:12:45.836 --> 00:12:47.076 with the phenotype survey. 00:12:47.076 --> 00:12:49.986 And we can also study things like epigenetics or training. 00:12:49.986 --> 00:12:52.856 So how does the environmental factors influence the genetic 00:12:52.856 --> 00:12:53.636 makeup of the dog? 00:12:54.036 --> 00:12:56.416 And how do we select or avoid things based on that as well? 00:12:56.416 --> 00:12:58.686 So this is going to be a really interesting part when we look 00:12:58.686 --> 00:13:00.396 into how this applies to predictive health 00:13:00.396 --> 00:13:01.416 and performance modeling. 00:13:01.856 --> 00:13:03.016 And the big thing I want to focus 00:13:03.016 --> 00:13:04.716 on with this too is it's all iterative. 00:13:05.176 --> 00:13:07.466 So each one of these factors informs the other one. 00:13:07.466 --> 00:13:10.256 And so, as we continue down this track in the pilot 00:13:10.256 --> 00:13:13.146 of this program, each litter will give us more information 00:13:13.146 --> 00:13:15.676 to build the previous tools more and expand upon them. 00:13:16.566 --> 00:13:19.676 And last, but not least, our program-sourced canines. 00:13:20.376 --> 00:13:23.036 So before I run out of time, I do want to touch on, 00:13:23.036 --> 00:13:25.076 so this is the structure of the consortium right now. 00:13:25.076 --> 00:13:26.236 We have two entities. 00:13:26.236 --> 00:13:28.336 We have breeding collaborators and private partners. 00:13:28.336 --> 00:13:30.076 Our breeding collaborators are going 00:13:30.076 --> 00:13:32.786 to be our larger academic institutions with a bit more 00:13:32.786 --> 00:13:36.706 of robust ability to breed more, three or more litters a year. 00:13:36.706 --> 00:13:37.616 And really do something 00:13:37.616 --> 00:13:39.626 with a bit more academic background to it. 00:13:39.666 --> 00:13:40.916 So we have partners like Auburn 00:13:40.916 --> 00:13:42.216 that are going to be participating. 00:13:42.546 --> 00:13:43.826 We're really looking forward to seeing 00:13:43.826 --> 00:13:45.416 where the scientific component can come 00:13:45.416 --> 00:13:47.616 out of the relationship with those entities. 00:13:47.796 --> 00:13:49.626 We also have our private partnerships. 00:13:49.626 --> 00:13:51.696 We've been jokingly saying, the ma-and-pa operators. 00:13:51.696 --> 00:13:52.686 But not necessarily that. 00:13:52.816 --> 00:13:54.976 But just smaller entities that aren't, you know, 00:13:54.976 --> 00:13:56.836 quite as robust and large and supported 00:13:56.836 --> 00:13:58.336 as an academic institution. 00:13:58.676 --> 00:14:01.646 But breeders that are able to use their knowledge base 00:14:01.706 --> 00:14:02.916 to better this program. 00:14:02.956 --> 00:14:05.616 And they have a ton of knowledge and are frequently overlooked. 00:14:06.126 --> 00:14:08.826 We also want to help support them with scientific resources. 00:14:09.276 --> 00:14:12.076 And gain their knowledge base to help inform future products. 00:14:12.446 --> 00:14:14.506 Plus, one of the challenges that I know has been brought 00:14:14.506 --> 00:14:15.976 up is the issues with procurement. 00:14:16.146 --> 00:14:18.706 So, you know, larger entities can set up contracts 00:14:18.706 --> 00:14:20.186 with the government and do procurement. 00:14:20.186 --> 00:14:21.486 Much more streamlined process. 00:14:21.536 --> 00:14:22.576 But that's really not something 00:14:22.576 --> 00:14:24.216 that smaller breeders are capable of doing. 00:14:24.256 --> 00:14:27.496 So how can this program help those smaller breeders get the 00:14:27.496 --> 00:14:30.686 quality dogs into the hands of, you know, government entities? 00:14:30.686 --> 00:14:32.766 And in addition, you know, 00:14:32.766 --> 00:14:35.966 we want to help them expand their ability to breed as well. 00:14:36.016 --> 00:14:38.416 So the consortium will give them breeding abilities to get 00:14:38.416 --> 00:14:40.946 to dogs that they never previously would have access to. 00:14:41.316 --> 00:14:42.816 The nice thing about this structure is 00:14:42.816 --> 00:14:44.566 that S&T will help direct the breeding. 00:14:44.566 --> 00:14:46.726 But they do not own or house any of the dogs. 00:14:46.776 --> 00:14:48.146 All that is still in the hands 00:14:48.146 --> 00:14:50.096 of the breeding collaborators and private partners. 00:14:50.876 --> 00:14:52.806 And at the end of day, so there's funding 00:14:52.856 --> 00:14:55.336 for the data relationship between DHS S&T 00:14:55.336 --> 00:14:57.316 and the collaborators for the data flow 00:14:57.316 --> 00:14:59.706 to support them participating in the consortium. 00:15:00.296 --> 00:15:02.576 And for the reports back, basically, 00:15:02.576 --> 00:15:05.016 on the early learning strategies and the process. 00:15:05.336 --> 00:15:07.506 And then from there, those dogs will be sold directly 00:15:07.506 --> 00:15:08.626 to the user community. 00:15:09.226 --> 00:15:12.926 With the primary focus being on explosive disciplined dogs. 00:15:13.546 --> 00:15:17.376 And so to wrap up, you know, why would somebody want to work 00:15:17.566 --> 00:15:19.126 or be a part of this consortium? 00:15:19.506 --> 00:15:22.426 So there's compensation for time spent dedicated to the effort. 00:15:22.426 --> 00:15:24.406 There's a potential higher profit for the litter. 00:15:25.296 --> 00:15:27.236 You'll get access to the phenotype assessment. 00:15:27.236 --> 00:15:29.276 Genetic testing for medical conditions. 00:15:29.786 --> 00:15:31.416 And the canine selection tool as well. 00:15:31.416 --> 00:15:34.286 Also, they'll be participants of the consortium who can tote 00:15:34.286 --> 00:15:36.506 that as part of their repertoire as a breeder. 00:15:36.946 --> 00:15:39.376 And expanding, diversifying their breeding pool. 00:15:39.376 --> 00:15:41.356 And access to really high-quality dogs. 00:15:41.926 --> 00:15:44.116 So along with this I do want to note 00:15:44.116 --> 00:15:46.576 that there is an APL/RFP supported 00:15:46.576 --> 00:15:49.126 by S&T that's coming out mid-December. 00:15:49.236 --> 00:15:52.476 So anybody who's interested in potentially participating 00:15:52.476 --> 00:15:54.996 in the consortium, we'd love to meet and you talk with you. 00:15:54.996 --> 00:15:56.386 And get you some more information. 00:15:56.696 --> 00:15:59.246 Mike House, David Deglau, myself will be at the tables. 00:15:59.286 --> 00:16:01.426 And so please come up and chat with us. 00:16:01.606 --> 00:16:03.236 We look forward to talking with you more. 00:16:03.616 --> 00:16:04.976 Thank you so much for your time. 00:16:05.016 --> 00:16:07.016 [ Applause ] 00:16:07.516 --> 00:16:22.050 [ Music ]