Progress 07/15/23 to 07/14/24
Outputs
Target Audience:During this reporting period, our main target audience was the NNF fellows (graduate students) hired at Purdue University and other graduate students from Purdue University. They were trained and interacted with faculty across various disciplines, including animal sciences, computer science, statistics, veterinary science, and entomology. The activities performed by them also reached various audiences such as >300 undergraduate students in the Purdue Department of Animal Sciences, data science organizations in which they did their internships at, and other data science stakeholders that the faculty and the NNF fellows interacted with such as private companies, Purdue Ag Data Services, Lely, Afimilk, Zoetis, and DairyComp. In addition, the first publications from the NNF fellows have been presented at national and international conferences and also through scientific publications. Therefore, our project has had a broader impact in the scientific communities in animal and data sciences. Changes/Problems:
Nothing Reported
What opportunities for training and professional development has the project provided?The NNF fellows have attended conferences in the area of Livestock Data Science in Tennessee and in Calgary (Canada), completed multidisciplinaryclasses across departments, presented seminars, participated in internships in the data science organizations, performed multidisciplinary research projects, and presented and published the results of their research. Two fellows have also completed their programs and were employed in the area of livestock data science, which is a fantastic outcome of this project. How have the results been disseminated to communities of interest?The results have been disseminated through conference and journal publications, oral presentation, and graduate certificate developed through this program. What do you plan to do during the next reporting period to accomplish the goals?All the remaining graduate students will continue their training, research projects, internships, and other planned activities. The Graduate Certificate in Livestock Data Science has been launched and more students will start enrolling on it in the coming semesters.
Impacts
What was accomplished under these goals?
We have recruited and trained 4 (all female) graduate students who started their graduate programs at Purdue University.Dr. Jackie Boerman, Dr. Allan Schinckel, and Dr. Luiz Brito are serving as their major advisors and other Co-PIs will be part of their advisory committee. We have also designed a Graduate Certificate in Livestock Data Science, which was launched this semester. A brief description of the Graduate Certificate is provided below. The fellows have also completed all the activities planned such as presenting seminars in the area of livestock data science, are conducting their research projects, have completed internships in data science organizations, and met all the curse work requirements from their graduate programs. They have also published various results of their projects in national and international conferences and in per-reviewed journals. Graduate Certificate in livestock Data Science:This Graduate Certificate in Livestock Data Science will provide various complementary opportunities for Purdue graduate students (at both MS and PhD levels) to improve their knowledge and data science skills in the context of sustainable livestock production. This certificate will consist of a minimum of 12 graded credits (50000 or 60000 level courses) chosen from three main course groups: ≥ 3 credits from Group 1 (Animal Sciences), ≥ 6 credits from Group 2 (Computing and Data Science), and ≥ 3 credits from Group 3 (Applied Statistics). A detailed list of the courses is presented as Appendix and will be updated as courses are created or removed from the Purdue University catalogue. Students will also be required to successfully complete two semesters of a 1-credit Livestock Data Science Seminar (Pass/Fail evaluation; in addition to the 12 credits of letter graded courses). Furthermore, the students will be required to perform at least one research project (equivalent to a thesis chapter or scientific paper) using large-scale livestock datasets, with direct applications to the animal industry. During their program, all students will be required to organize and teach a hands-on >4-hour workshop (supervised by Purdue faculty and coordinated by Dr. Elizabeth Karcher) related to the use of big data in animal agriculture. The audience of these workshops will be undergraduate students or other agricultural stakeholders (extension workshops). Lastly, all the students pursuing the Graduate Certificate in Livestock Data Science will be required to complete at least 80 hours of internship in a data science organization at Purdue University (e.g., Agriculture Data Services, The Data Mine) or in a livestock company (in consultation with their advisory committee and Graduate Certificate Program Coordinator).
Publications
- Type:
Journal Articles
Status:
Published
Year Published:
2024
Citation:
Wonders O. Ogundare, Linda M. Beckett, Leriana G. Reis, McKeeley C. Stansberry, Sydney N. Roberts, Uchenna Y. Anele, Allan P. Schinckel, Theresa M. Casey, Radiah C. Minor. The impact of cooling and Moringa supplementation on oxidative stress in serum and milk, including milk cytokines, in heat stressed lactating sows and their litters. Translational Animal Science Journal. (Accepted)
- Type:
Journal Articles
Status:
Accepted
Year Published:
2024
Citation:
2) McKeeley C. Stansberry, Wonders Ogundare, Linda M. Beckett, Leriana Garcia Reis, Evy M. Tobolski, Brian T. Richert, Theresa M. Casey, Allan P. Schinckel, Radiah C. Minor. The effect of electronic cooling pads and Moringa oleifera supplementation from late gestation to weaning on sow production performance under heat stress conditions. Journal of Animal Science. Accepted
- Type:
Journal Articles
Status:
Submitted
Year Published:
2024
Citation:
3) McKeeley C. Stansberry, Wonders Ogundare, Linda M. Beckett, Leriana Garcia Reis, Elizabeth G. Fisher, Evy M. Tobolski, Brian T. Richert, Theresa M. Casey, Allan P. Schinkel, Radiah C. Minor. The effect of cooling and Moringa oleifera supplementation from late gestation to weaning on sow milk lipidome. Journal of Animal Science. Submitted.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2024
Citation:
Near-real-time feed bunk monitoring for dairy cattle using stereo vision. M. N. Flinders, P. Rao, D. R. Buckmaster, A. R. Reibman, and J. P. Boerman - Presented at ADSA 2024. Florida, USA
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2024
Citation:
Stereo vision to predict dry matter intake, M. N. Flinders, P. Rao, A. R. Reibman, and J. P. Boerman Presented at the Tri-State Dairy Nutrition Conference 2024
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2024
Citation:
Rao, P., M.N. Flinders, D. Buckmaster, A.R. Reibman, and J.P. Boerman. 2024. Real-time Cattle Intake Monitoring Using Stereo Vision. Electronic Imaging 36:16. Presented at Imaging Conference but it is also a paper (they make them write the paper right after the conference).
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2024
Citation:
Moulder, C.N., Maskal, J.M., Kalbaugh, K., Pacheco, H., Boerman, J. and Brito, L.F., 2024. 87 Estimation of genetic parameters for activity levels in North American Holstein cattle. Journal of Animal Science, 102(Supplement_3), pp.23-24.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2024
Citation:
McKeeley C Stansberry, Wonders Ogundare, Linda M Beckett, Leriana Garcia Reis, Elizabeth G Fisher, Evy M Tobolski, Brian T Richert, Theresa M Casey, Allan P Schinckel, Radiah C Minor, 287 The effect of cooling pad and Moringa oleifera on lactating sows under heat stress, Journal of Animal Science, Volume 102, Issue Supplement_2, May 2024, Pages 228229, https://doi.org/10.1093/jas/skae102.259
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2024
Citation:
Eimear C Mannion, Theresa Casey, Allan P Schinckel, Jung Yeol Sung, Wonders Oogundare, McKeeley Stansberry, Robert M Stwalley, Radiah Minor, Samantha Neeno, Tyler C Field, PSIV-6 Impact of Cooling Pads and Dietary Moringa on Measures of Heat Stress in Sows in Late Gestation, Journal of Animal Science, Volume 101, Issue Supplement_2, November 2023, Pages 348349, https://doi.org/10.1093/jas/skad341.396
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Progress 07/15/22 to 07/14/23
Outputs
Target Audience:During this reporting period, our main target audience was the NNF fellows (graduate students) hired at Purdue University. They were trained and interacted with faculty across various disciplines, including animal sciences, computer science, statistics, veterinary science, and entomology. The activities performed by them also reached various audiences such as >400 undergraduate students in the Purdue Department of Animal Sciences, data science organizations in which they did their internships at, and other data science stakeholders that the faculty and the NNF fellows interacted with such as private companies, Purdue Ag Data Services, Lely, Afimilk, Zoetis, and DairyComp. Changes/Problems:All the activities are being developed as planned. What opportunities for training and professional development has the project provided?The NNF fellows have attended conferences in the area of Livestock Data Science in Tennessee and in Calgary (Canada), completed multidisciplinary classes across departments, presented seminars, participated in internships in the data science organizations, and performed multidisciplinary research projects. How have the results been disseminated to communities of interest?
Nothing Reported
What do you plan to do during the next reporting period to accomplish the goals?All the graduate students will continue their training, research projects, internships, and other planned activities. The Graduate Certificate in Livestock Data Science has been approved at two levels and is now at the last stage.
Impacts
What was accomplished under these goals?
We have recruited all the 4 (all female) graduate students who started their graduate programs at Purdue University.Dr. Jackie Boerman, Dr. Allan Schinckel, and Dr. Luiz Brito are serving as their major advisors and other Co-PIs will be part of their advisory committee. We have also designed a Graduate Certificate in Livestock Data Science, which was approved by the Department of Animal Sciences and by the Purdue College of Agriculture. A brief description of the Graduate Certificate is provided below. The fellows have also completed all the activities planned such as presenting seminars in the area of livestock data science, are conducting their research projects, have completed internships in data science organizations, and met all the curse work requirements from their graduate programs. Graduate Certificate in livestock Data Science:This Graduate Certificate in Livestock Data Science will provide various complementary opportunities for Purdue graduate students (at both MS and PhD levels) to improve their knowledge and data science skills in the context of sustainable livestock production. This certificate will consist of a minimum of 12 graded credits (50000 or 60000 level courses) chosen from three main course groups: ≥ 3 credits from Group 1 (Animal Sciences), ≥ 6 credits from Group 2 (Computing and Data Science), and ≥ 3 credits from Group 3 (Applied Statistics). A detailed list of the courses is presented as Appendix and will be updated as courses are created or removed from the Purdue University catalogue. Students will also be required to successfully complete two semesters of a 1-credit Livestock Data Science Seminar (Pass/Fail evaluation; in addition to the 12 credits of letter graded courses). Furthermore, the students will be required to perform at least one research project (equivalent to a thesis chapter or scientific paper) using large-scale livestock datasets, with direct applications to the animal industry. During their program, all students will be required to organize and teach a hands-on >4-hour workshop (supervised by Purdue faculty and coordinated by Dr. Elizabeth Karcher) related to the use of big data in animal agriculture. The audience of these workshops will be undergraduate students or other agricultural stakeholders (extension workshops). Lastly, all the students pursuing the Graduate Certificate in Livestock Data Science will be required to complete at least 80 hours of internship in a data science organization at Purdue University (e.g., Agriculture Data Services, The Data Mine) or in a livestock company (in consultation with their advisory committee and Graduate Certificate Program Coordinator).
Publications
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Progress 07/15/21 to 07/14/22
Outputs
Target Audience:During this first year of the project, we reached out to potneital graduate students to join our National Needs Fellowship program at Purdue University. As planned in the project, we contacted numerous Minority-serving institutions and other minority academic organizations across the country. The communication was done via email, phone calls, advertisement in email listservs, and communication in conferences and seminars in which the investigators were present. Therefore, the main target of this first year of the project was prospective graduate students. All the other activities were done internally such as the development of a Graduate Certificate in livestock Data Science and a new graduate course. Changes/Problems:There were no major changes or problems in this first year of the project. We aimed to increase diversity in the field of Data Science and although we had no minority applicants, all the three fellows hired are women. We are still recruiting the last fellow and we have very strong prospective candidates. What opportunities for training and professional development has the project provided?The training opportunities will start in the Fall/2022 when our three NNF felllows start their programs. How have the results been disseminated to communities of interest?
Nothing Reported
What do you plan to do during the next reporting period to accomplish the goals?During the next phase of the project, we will have one additional PhD student, will complete the approval process of the Gradaute Certificate in Livestock Data Science, and will establish the training activities that the students will be involved in, including a Data Science Journal Club and a Data ScienceInternship Program.
Impacts
What was accomplished under these goals?
We have recruited three female graduate students who will start their programs on August 15, 2022. Dr. Jackie Boerman, Dr. Allan Schinckel, and Dr. Luiz Brito will serve as their major advisors and other Co-PIs will be part of their advisory committee. We have also designed a Gradaute Certificate in Livestock Data Science, which has been aproved by the Department of Animal Sciences and is now under evaluation by the Purdue College of Agriculture. A brief description of the Gradaute Certificate is provided below. Graduate Certificate in livestock Data Science:This Graduate Certificate in Livestock Data Science will provide various complementary opportunities for Purdue graduate students (at both MS and PhD levels) to improve their knowledge and data science skills in the context of sustainable livestock production. This certificate will consist of a minimum of 12 graded credits (50000 or 60000 level courses) chosen from three main course groups: ≥ 3 credits from Group 1 (Animal Sciences), ≥ 6 credits from Group 2 (Computing and Data Science), and ≥ 3 credits from Group 3 (Applied Statistics). A detailed list of the courses is presented as Appendix and will be updated as courses are created or removed from the Purdue University catalogue. Students will also be required to successfully complete two semesters of a 1-credit Livestock Data Science Seminar (Pass/Fail evaluation; in addition to the 12 credits of letter graded courses). Furthermore, the students will be required to perform at least one research project (equivalent to a thesis chapter or scientific paper) using large-scale livestock datasets, with direct applications to the animal industry. During their program, all students will be required to organize and teach a hands-on >4-hour workshop (supervised by Purdue faculty and coordinated by Dr. Elizabeth Karcher) related to the use of big data in animal agriculture. The audience of these workshops will be undergraduate students or other agricultural stakeholders (extension workshops). Lastly, all the students pursuing the Graduate Certificate in Livestock Data Science will be required to complete at least 80 hours of internship in a data science organization at Purdue University (e.g., Agriculture Data Services, The Data Mine) or in a livestock company (in consultation with their advisory committee and Graduate Certificate Program Coordinator). ?
Publications
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