Annual/Termination Reports:

[09/30/2016] [12/20/2017] [10/15/2018] [12/01/2019] [09/24/2020]

Report Information

Participants

See attachment for list of participants

Brief Summary of Minutes

In addition to the annual face-to-face meeting, conference calls are scheduled regularly throughout the year.  Minutes from conference calls and meetings are included in the attachment.

Accomplishments

<p>At the start of FY16, new members were recruited for all three operating committees- Coordinating, Feed Composition, and Modeling.&nbsp; The Coordinating Committee was expanded from 8 to 12 members to accommodate the addition of equine, fish and small ruminants to the scope of the NANP. Participants continued working closely with the National Academies of Science, Engineering, and Medicine (NASEM) and industries to leverage the resources contributed through NIFA and the participant universities.</p><br /> <p>Major accomplishments toward meeting the projects objectives and anticipated outcomes include:</p><br /> <ul><br /> <li>Added Beef NRC ingredient database to the NANP website</li><br /> <li>Developed a method and computer program to filter and analyze large ingredient databases</li><br /> <li>Added nutrient requirement models using different meta-analysis with a tutorial for usage to the NANP website</li><br /> <li>Worked with NASEM to pursue an agreement allowing for modification of the species-specific nutrient utilization models to make them more easily updatable and useful to the research community. NANP is also advocating for the development of a multi-species interface for diet formulations that could be used for teaching and extension.</li><br /> <li>Increased awareness of NANP resources by hosting booths at the Midwest ASAS/ADSA and annual JAM meetings. Both were well attended by faculty, students and industry representatives.</li><br /> <li>A publication summarizing the 2015 summit, Nutrition Research Priorities for a Healthy Society, was completed and disseminated broadly. Stakeholders receiving the publication included animal science departments, experiment station directors, veterinary school leadership and keep policymakers related to animal agriculture.&nbsp; The publication was also translated into other languages (Chinese, Korean, Portuguese, and Spanish).</li><br /> <li>Acquired Scopus citation database from Elsevier to serve as the basis for the Global Animal Nutrition Expert Network (https://gann-nanp.org/) which was established to help identify and connect to animal nutrition experts.</li><br /> <li>Website usage was monitored through Google Analytics and reviewed by the Coordinating Committee periodically. Publicity received in July through the release of the Beef NRC report and distribution of a National Impact Statement on NRSP-9 resulted in a spike of visits to the site in August of 2016. The site saw an average of 90 visitors from a total of more than 45 countries for the last half of federal FY16.</li><br /> </ul>

Publications

<ol start="2016"><br /> <li>Tran, A. Caprez, P. Kononoff, P. S. Miller and W. Weiss. 2016. Automation of statistical procedures to screen raw data and construct feed composition databases. J. Anim. Sci. Col 94, E-Suppl. 5:670/ J. Dairy Sci. Vol. 99, E- Suppl. 1:670.&nbsp;</li><br /> </ol><br /> <ol start="2016"><br /> <li>P. McNamara, M. D. Hanigan, and R. R. White. 2016. Experimental design, data reporting, and sharing in support of animal systems modeling research. J. Dairy Sci. 99 :9355&ndash;9371</li><br /> </ol>

Impact Statements

1. Through NANP’s involvement with the creation of feed ingredient databases for the beef and dairy NASEM committees, a standard platform has been created for all nutrient requirement reports going forward. Availability of these databases adds substantial value to the NASEM reports and streamlines the process for not only constructing the databases as other species reports are updated, but also allows for continual updates and additions to the datasets.

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Report Information

Participants

See attachment for list of NRSP-9 participants.

Brief Summary of Minutes

In addition to the annual face-to-face meeting, conference calls are scheduled regularly throughout the year.  Minutes from conference calls and meetings, as well as a strategic plan update, are included in the attachment.

Accomplishments

<p>A major undertaking lead by the Coordinating Committee in conjunction with representatives of both the Feed Composition and Modeling committees was to initiate a significant overhaul of the NANP website. A website sub-committee was formed to oversee changes based on user and NANP member feedback. Several potential vendors/contractors were identified and interviewed. A contractor was selected and engaged to create a new underlying structure that incorporates a content management system that designated committee members can manage while continuing to facilitate use of the data resources already created and being used by the stakeholder community. The initial redesign has been completed and launched under <a href="http://www.animalnutrition.org">www.animalnutrition.org</a>.&nbsp; NANP members have been surveyed for feedback and improvements in response are ongoing. The new site provides for better user navigation and interface while allowing for faster content updates with many of the changes targeted for younger professional stakeholders who are capable with, and demanding of, state-of-the-art technological advancements.</p><br /> <p>As part of the website revamp, the committee decided to revisit the domain names owned by the NANP.&nbsp; The committee desired a publication-friendly URL that was easier to remember than the previous <a href="http://www.NANP-NRSP-9.org">www.NANP-NRSP-9.org</a>. &nbsp;The current URL was obtained and used for the new website, though the previously published domain is still owned by NANP and continues to direct users to the new site.&nbsp; Outside funding was secured to cover the costs of purchasing the new domain name.</p><br /> <p>NANP has had success in securing significant in-kind support from industry for populating the feed ingredient database, particularly for beef.&nbsp; Of note was the acquisition of the amino acid ingredient data from Evonik. Solicitations of contributions to the database for other species are continuing in 2017.&nbsp;</p><br /> <p>&nbsp;</p><br /> <p>Major accomplishments toward meeting the project&rsquo;s objectives and anticipated outcomes include:</p><br /> <ul><br /> <li>Completed dairy cattle feed composition database and auxiliary tables for the upcoming National Academies of Science, Engineering and Medicine (NASEM) Nutrient Requirements of Dairy Cattle report.</li><br /> <li>Under the new website platform, the Feed Composition Committee has begun developing a single feed ingredient database for all species (the previous website hosted separate databases for each species). This will provide a better underlying database structure and facilitate the addition of new data and its use by all species rather than the individual species for which it was input. Though individual studies will still be identifiable within the resource, the results can be filtered by species, constituent, etc.</li><br /> <li>Pursued the development of a multispecies interface for diet optimization using the NASEM/NRC models. The group has made strides in navigating the legal issues related to altering the NASEM source code and restricting use for educational (including extension) purposes. Specific disclaimer language is being finalized for use in conjunction with source code access.</li><br /> <li>Worked with Elsevier to improve the utility of the Scopus data they are providing for the Global Animal Nutrition Expert Network (GANN); search terms were developed by the committee and provided to ensure better capture of relevant literature and expert contacts. An updated dataset has been received and is being reviewed by the database developer to ensure integration with the existing GANN website will go smoothly.</li><br /> <li>An all-day modeling workshop was held during the 2017 American Dairy Science Association Meeting in Pittsburg, PA. The workshop provided hands-on experience with several modeling approaches.&nbsp; The workshop&rsquo;s maximum capacity of 100 attendees was met with a waiting list of more than 10 others desiring to participate.&nbsp; Costs of the workshop were offset by a modest registration fee, the inclusion of which, obviously, did not negatively impact attendance. Over half of the participants completed an evaluation survey, the result of which will be used to design future workshops. Respondents indicated a mean satisfaction rating of 8 on a 10-point scale.</li><br /> <li>Symposia are being planned for 2018. A proposal titled &ldquo;The Future of Livestock Research: Knowledge Gaps, Data Collection and Quality, and the Role of Supporting Tools for Sustainable Production&rdquo; was submitted by the Modeling Committee for the summer ASAS meeting and was accepted for presentation. A proposal for another symposium on a discussion and review of either the small ruminant or swine NASEM/NRC reports is being discussed for submission to the Western or Midwest regional meeting. &nbsp;</li><br /> <li>Evaluation of the progress and impact of the NANP program to date was initiated. An internal review and update of the project&rsquo;s strategic plan was used to chart progress toward objectives to date and outline strategies for the near- and long-term.&nbsp; To better assess the impact of NANP, an external program evaluator has been engaged by the Coordinating Committee to conduct a review. The evaluation is expected to be completed in early 2018.&nbsp;</li><br /> </ul><br /> <p>&nbsp;</p><br /> <p>Additional detail on accomplishments and activities can be found in the attached meeting minutes and strategic plan update.</p>

Publications

<p>R. White, Y. Roman-Garcia, J. L. Firkins, M. J. VandeHaar, L. E. Armentano, W. P. Weiss, T. McGill, R. Garnett, and M. D. Hanigan. 2017. Evaluation of the National Research Council (2001) dairy model and derivation of new prediction equations. 1. Digestibility of fiber, fat, protein, and nonfiber carbohydrate. J. Dairy Sci. doi: 10.3168/jds.2015-10800.</p><br /> <p>R. R. White, Y. Roman-Garcia, J. L. Firkins, P. Kononoff, M. J. VandeHaar, H. Tran, T. McGill, R. Garnett, and M. D. Hanigan. 2017. Evaluation of the National Research Council (2001) dairy model and derivation of new prediction equations. 2. Rumen degradable and undegradable protein. J. Dairy Sci. doi: 10.3168/jds.2015-10801.</p>

Impact Statements

1. A related publication was co-authored by a founding member of the NANP Coordinating Committee (Odle J, Jacobi SK, Boyd RD, Bauman DE, Anthony RV, Bazer FW, Lock AL, Serazin AC. 2017. The Potential Impact of Animal Science Research on Global Maternal and Child Nutrition and Health: A Landscape Review. Advances in Nutrition (Bethesda, Md.). 8: 362-381. PMID 28298279 DOI: 10.3945/an.116.013896). Articles such as these will contribute to the dialog among decision makers regarding agriculture and food policy, particularly as related to food security and human health.

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Report Information

Participants

See attached list of NRSP9 participants.

Brief Summary of Minutes

Conference calls are scheduled monthly throughout the year.  Minutes from conference calls and meetings are included in the attachment.

Accomplishments

<p>Following a complete overhaul of the underlying infrastructure for the NANP website, the group continued the process of updating and improving the content and research tools made available through it.&nbsp; With the new content management system in place, the NANP staff were trained on its use to facilitate routine updates and adjustments much more rapidly than was possible on the previous website. &nbsp;The next phases of the redesign were completed and focused on database infrastructure integration with the new platform for both the feed ingredient and modeling databases. The resulting website layout is now flexible for use on mobile devices with content load speeds of less than 3 seconds.</p><br /> <p>The Feed Composition and Modeling committees continued their work in populating the new website with expanded and refined tools available through the website. The groups also continued to focus on meeting stakeholder needs and improving the utility of the tools being developed through the delivery of symposia and workshops.&nbsp;</p><br /> <p>The NANP continued to serve key roles in the updates to the National Academy of Science, Engineering and Medicine&rsquo;s Animal Nutrition Committee, creating feed composition and modeling resources for the &ldquo;Nutrient Requirements of Dairy Cattle 8^th Edition&rdquo;. &nbsp;</p><br /> <p>Major accomplishments toward meeting the project&rsquo;s objectives and anticipated outcomes include:</p><br /> <ul><br /> <li>The consolidation of the species-specific feed composition databases into a single database was completed resulting in a transparent database with uniform ingredient names and descriptions. &nbsp;</li><br /> <li>In support of the NASEM Dairy publication update, datasets containing 2.1 million feed samples provided by four commercial laboratories were standardized for feed and nutrient names. Subsequently, the standardized dataset was screened using a univariate procedure which deleted values above and below 3.5 standard deviations from the average for each nutrient followed by a principal component analysis and a hierarchical clustering procedure. This procedure was useful for eliminating outlier data points and allowed identification of disparate feedstuffs within a large dataset, both important actions aimed at increasing the accuracy of true variability of nutrient composition. The final dataset and tables contained more than 1.4 million feed samples comprising 174 ingredients and 37 nutrients.</li><br /> <li>Additional data were added to the observed performance database for the NASEM Dairy publication update and used to derive digestion estimates for individual fat sources, and equations to predict milk fat and milk protein production. Calf growth data were also compiled and used to derive predictions of calf grain intake and calf growth rates.</li><br /> <li>To address the variability in techniques used to analyze carbohydrate composition of feed ingredients and the lack of carbohydrate fractions accounted for in the previous feed composition database, an NANP postdoctoral associate has developed a meta-analysis of the literature relative to the feed ingredient carbohydrate composition.</li><br /> <li>A second nutrition models workshop was held at the 2018 American Dairy Science Society meeting in Knoxville, TN. This full-day workshop was geared toward animal researchers with little or no modeling experience and included both lectures and hands-on exercises. The maximum capacity of 100 was reached and evaluations of the workshop indicated a strong desire for additional content in future workshops.</li><br /> <li>Held a NANP Symposium at the 2018 ASAS-CSAS Annual Meeting and Trade Show in Vancouver, Canada titled &rdquo;Future of Data Analytics in Nutrition: Knowledge Gaps, Data Collection and Quality, and the Role of Supporting Tools for Sustainable Development." A toal of 83 attendees were engaged with the goal of raising awareness of how big data and modeling techniques can be applied to research applications in animal nutrition and animal production. The symposium was supported through a competitive NIFA grant (Grant Number: 2018-67021-28558; PI: Tedeschi, L.) for $24,813.</li><br /> </ul><br /> <p>&nbsp;</p><br /> <p>Presentations and other materials from workshops and symposia can be found on the NANP website (<a href="https://animalnutrition.org/">https://animalnutrition.org/</a>). Additional detail on accomplishments and activities can be found in the attached meeting and conference call minutes.</p>

Publications

<p>Daley, V. L., Dye, C., Bogers, S. H., Akers, R. M., Rodriguez, F. C., Cant, J. P., Doelman, J., Yoder, P., Kumar, K., Webster, D., Hanigan, M. D. Bovine Mammary Gland Biopsy Techniques. J. Vis. Exp. (142), e58602, doi:10.3791/58602 (2018).</p><br /> <p>Daley, V.L, J.K. Drackley, C.M.M. Bittar, L.O. Tedeschi, S.Y. Morrison, P.A. LaPierre, M.D. Hanigan. 2018. Estimation of starter intake in young dairy calves during the preweaning phase. J. Dairy Sci. 101, Suppl. 2, p. 260.</p><br /> <p>Daley, V.L., L.E. Armentano, P.J. Kononoff, J.M. Prestegaard, M.D. Hanigan. 2018. Estimation of total fatty acid content and composition of feedstuffs for dairy cattle. J. Dairy Sci. 101, Suppl. 2, p. 295.</p><br /> <p>Daley, V.L., L.E. Armentano, P.J. Kononoff, J.M. Prestegaard, M.D. Hanigan. 2018. Fatty acid digestion in dairy cows fed different fat sources: A meta-analytic approach. J. Dairy Sci. 101, Suppl. 2, p. 304.</p><br /> <p>Daley, V.L., L.E. Armentano, M.D. Hanigan. 2018. Modeling fatty acids for dairy cattle: digestion and milk fat secretion. 2018 Annual Meeting of the Animal Science Modeling Group, June 23, Knoxville, Tennessee. &nbsp;</p><br /> <p>Hackmann, T., M.D. Hanigan, V.L. Daley. 2018. Workshop: National Animal Nutrition Program (NANP) Models. J. Dairy Sci. Vol. 101, Suppl. 2, p.1-2.</p><br /> <p>Hanigan, M. D., V. L. Daley, T. J Hackmann. 2018.&nbsp; Introduction and model construction: Part II (exercises). J. Dairy Sci. Vol. 101, Suppl. 2, p.1-2.</p><br /> <p>Kebreab, E.. 2018. Model evaluation: Part I (lecture). J. Dairy Sci. Vol. 101, Suppl. 2, p.1-2.</p><br /> <p>Kebreab, E.. 2018. Model evaluation: Part II (exercises). J. Dairy Sci. Vol. 101, Suppl. 2, p.1-2.</p><br /> <p>White, R. R.. 2018. Meta-analysis: Part I (lecture). J. Dairy Sci. Vol. 101, Suppl. 2, p.1-2.</p><br /> <p>Liebe, D. M., R. R. White. 2018. Meta-analysis: Part II (exercises). J. Dairy Sci. Vol. 101, Suppl. 2, p.1-2.</p><br /> <p>Smith, S. I.,&nbsp; M. A. Mirando, 2018. Opportunities for federal funding of modeling research. J. Dairy Sci. Vol. 101, Suppl. 2, p.1-2.</p>

Impact Statements

1. The expansion and reorganization of the observed performance database contained on the website by the Modeling Committee has significantly increased the efficiency of new modeling efforts by reducing time and effort needed to collect data. Prior to the availability of NANP resources, multiple research groups were repeating these data collection efforts each time new animal performance models were developed. Additionally, the continual updating of the observed animal performance database as new literature becomes available helps ensure the continuity of the data required to update the NASEM animal nutrient requirement publications.

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Report Information

Participants

The list of NRSP-9 participants can be found at https://animalnutrition.org/committees.

Brief Summary of Minutes

Conference calls are scheduled monthly throughout the year.  Minutes from conference calls and meetings are included in the attachment.

Accomplishments

<p>The Coordinating Committee efforts included the planning and implementation of the second NANP National Summit and preparing for the renewal of the NRSP9 proposal. The Feed Composition and Modeling committees continued their work in populating the website with expanded data and improving functionality for end users. The groups also continued to focus on meeting stakeholder needs and improving the utility of the tools being developed through the delivery of symposia and workshops.&nbsp;</p><br /> <p>The NANP continued to serve key roles in the updates to the National Academy of Science, Engineering and Medicine&rsquo;s Animal Nutrition Committee, creating feed composition and modeling resources for the active update committees for both dairy and poultry. &nbsp;</p><br /> <p>Major accomplishments toward meeting the project&rsquo;s objectives and anticipated outcomes include:</p><br /> <ul><br /> <li>The capabilities for the feedstuffs database were expanded to include filters to: 1) transform nutritional information from a &lsquo;dry matter&rsquo;(default) to an &lsquo;as fed&rsquo; basis, 2) select nutrient composition from feedstuffs that were analyzed in a specified range of years, 3) select nutrient composition according different types of data sources [peer-reviewed (data obtained from scientific journals), commercial (data obtained from commercial laboratories), and academic (data obtained from academic laboratories that has not been published)], and 4) select specific nutrient values using multiple custom options.</li><br /> <li>In support of the NASEM &ldquo;Nutrient Requirements of Poultry, 10^th Edition&rdquo; a dataset for the poultry feed composition tables was created using feed composition information obtained by literature reviews using the methods previously followed for the existing swine feed composition tables. The poultry tables were updated with feed composition information available in scientific articles published between 2011 and 2018. The dataset was screened using a univariate procedure which deleted values above and below 3.5 standard deviations (SD) from the average for each nutrient. The final dataset and tables contained more than 4,000 feed samples comprising 131 ingredients and 91 nutrients.</li><br /> <li>The Modeling Committee also contributed to the NASEM Poultry publication update. An existing poultry growth model was transcribed from Excel to R and will be used by the Poultry Committee to revise nutrient requirements for growth after it is fitted to the data.</li><br /> <li>The expansion of NANP content to include equids started with the completion of the mining of literature for data on nitrogen and amino acid nutrition and metabolism. A conceptual model for prediction of N requirement and excretion in equids was developed and published (see publications for citation).</li><br /> <li>NANP participants were awarded a NIFA grant titled &ldquo;The NANP Nutrition Models Workshop: Training a New Generation of Scientists in Mathematical Modeling of $40,878 (award #2019-67015-298411) to continue holding modeling workshops at the ADSA annual meetings for an additional 2 years.</li><br /> <li>The second NANP National Summit &ldquo;Producing Food with Animals: Sustainability, Efficiency and Security in the U.S.&rdquo; was held on April 10, 2019 at the National Academy of Science building in Washington, DC. Like the inaugural NANP summit held in 2015, the program created a forum to discuss and identify research priorities, focusing on the specific role animal nutrition research plays in addressing animal production sustainability (both environment and economic) and security. The summit engaged stakeholders from federal research and regulatory agencies as well as industry.</li><br /> </ul><br /> <p>&nbsp;</p><br /> <p>Presentations and other materials from the following workshops and symposia held during the reporting period can be found on the NANP website (<a href="https://animalnutrition.org/">https://animalnutrition.org/</a>).</p>

Publications

<p>Mark D. Hanigan and Veridiana L. Daley. Use of Mechanistic Nutrition Models to Identify Sustainable Food Animal Production. 2020. Annual Review of Animal Biosciences. Vol. 8, https://doi.org/10.1146/annurev-animal-021419-083913</p><br /> <p>C.F Nicholson, A.R.P. Sim&otilde;es, P.A. LaPierre, M.E. Van Amburgh. ASN-ASAS SYMPOSIUM: FUTURE OF DATA ANALYTICS IN NUTRITION: Modeling complex problems with system dynamics: applications in animal agriculture. Journal of Animal Science, v.97, Issue 5, May 2019, p.1903&ndash;1920, https://doi.org/10.1093/jas/skz105</p><br /> <p>L.O. Tedeschi. ASN-ASAS SYMPOSIUM: FUTURE OF DATA ANALYTICS IN NUTRITION: Mathematical modeling in ruminant nutrition: approaches and paradigms, extant models, and thoughts for upcoming predictive analytics. Journal of Animal Science, v.7, Issue 5, May 2019, p.1921&ndash;1944, https://doi.org/10.1093/jas/skz092&nbsp;</p><br /> <p>Trottier, N. L., and L. O. Tedeschi. 2019. Dietary nitrogen utilisation and prediction of amino acid requirements in equids. Anim. Prod. Sci. 59 (11):2057-2068. doi: 10.1071/AN19304</p><br /> <p>A. Schlageter-Tello, P. S. Miller. 2019. Creation of a feed composition database: Machine learning techniques for automated classification of corn grain products, preliminary results. ASAS-CSAS Annual Meeting and Trade Show, July 8th &ndash; 11th, Austin, TX.</p><br /> <p>M.S. Edwards, A. Schlageter-Tello. 2019. National Animal Nutrition Program: Feed Ingredient Nutrient Composition &ndash; What&rsquo;s in it for Equids? Equine Science Society Symposium. June 3rd -6th, Asheville, North Carolina.</p><br /> <p>Schlageter-Tello, R. N. Dilger, P. S. Miller. 2019. National Animal Nutrition Program: Development of online feed composition tables. Multi-State Poultry Feeding and Nutrition Conference and Silvateam&rsquo;s Technical Symposium, May 21st &ndash; 23th, Indianapolis, IN.</p><br /> <p>Schlageter-Tello, M. Hannas, J. Jespersen, K. Hahn, M. S. Rasheed, M. Oelschlager, L. Bauer, A. Bigge, D. Hanna, R.N. Dilger. 2019. Development of the feed composition tables for poultry species. International Production and Processing Expo (IPPE), February 12th &ndash; 14th, Atlanta, GA.</p><br /> <p>V.L. Daley, T. F. V. BomPadre, M.D. Hanigan. 2019. Effects of absorbed amino acids on the milk fat yield: A meta-analytic approach. J. Dairy Sci. Vol. 102, Suppl. 1, p. 77.</p><br /> <p>Prestegaard, J. A, V.L. Daley, M.D. Hanigan. 2019. A survey of U.S. dairy nutritionist perceptions and methods of balancing lower crude protein rations for lactating cows. J. Dairy Sci. Vol. 102, Suppl. 1, p. 102</p><br /> <p>V.L. Daley, M.D. Hanigan. Prediction of total milk fat of dairy cows: A multi-model approach. 2019. 6th EAAP International Symposium on Energy and Protein Metabolism and Nutrition (ISEP). "Energy and protein metabolism and nutrition in relation to sustainable livestock intensification". Brazil.</p><br /> <p>V.L. Daley, M.P. Reis, L.V.F.M. Carvalho, P. Ferket, N.K. Sakomura, M.D. Hanigan. 2019. Digestible lysine requirement of broilers: Model evaluation and development of a Shiny online application in R. Workshop on Modelling Nutrient Digestion and Utilization in Farm Animals (MODNUT). Brazil. Presentation</p><br /> <p>T.F.V. Bompadre, M.D. Hanigan, V.L. Daley, L.M. Campos, A.L. Abdalla, H. Louvandini. 2019. Model of phosphorus flux and excretion in growing lambs. 2019 Workshop on Modelling Nutrient Digestion and Utilization in Farm Animals (MODNUT). Brazil.</p><br /> <p>Prestegaard, J. A, V.L. Daley, M.D. Hanigan. 2019. Optimizer use in a commercial ration balancing software can reduce diet costs as compared to those of dairy nutritionists in the mid-Atlantic region. Workshop on Modelling Nutrient Digestion and Utilization in Farm Animals (MODNUT). Brazil.</p><br /> <p>M.D. Hanigan, S. J. R. Woodward, M.M. Li, V. L. Daley, T. J. Hackman, P. C. Beukes. Molly at 32: what works and what does not. Workshop on Modelling Nutrient Digestion and Utilization in Farm Animals (MODNUT). Brazil.</p>

Impact Statements

1. There is strong evidence that the NANP is being recognized as the premiere animal nutrition resources it was intended to be. The NASEM Poultry revision will use NANP as the primary source of feed ingredient information for its audience, including only a small subset of 12 ingredients in the static printed report. The UN Climate Change program’s NDC Partnership will use feed ingredient information from NANP as part of its Holos whole-farm model for estimating greenhouse gas emissions. BASF is aligning its application for least-cost animal feed formulations to be consistent with the feed names and definitions used by NANP. It is clear that through these partnerships and the usage statistics for the NANP website that despite the challenges encountered during the website/database restructuring, the NANP is seen as a leading force in animal nutrition research.

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Report Information

Participants

All members of the NRSP 9 committees who attend meetings throughout the year can be found at https://animalnutrition.org/committees.

Brief Summary of Minutes

The NANP Coordinating Committee conducted monthly conference calls to discuss activities conducted in conjunction with the National Academies of Science, Engineering and Medicine (NASEM) in support of species nutrient utilization report updates, marketing and communications, overall NANP website development and improvement, potential new projects and inclusion of additional species, and the national NANP summit and other events. The committee also regularly discussed budget oversight and leveraging while entertaining proposals for new projects and events developed by the Feed Composition and Modeling Committees.

The Feed Composition Committee met regularly via phone conference throughout the year to discuss the continued development and improvement of the feed composition database and tools to aid in the use of this resource. Improvements to the feed composition resources available via the NANP website (animalnutrition.org) were planned and prioritized based on user feedback. This committee also tackled issues related to data ownership and acknowledgement as well as continued updates on the back-end of the NANP website to improve the ability to receive, add, and update new data. They also explored the development of an application/programming interface that would allow external organizations, including companies, to connect with the NANP data and provide a potential avenue to monetize select services in the future. Members of the committee also worked closely with the website developers on improving the user statics report to better track website usage.

The Modeling Committee also held regular conference calls throughout the year to discuss a wide range of issues related to expanding the modeling tools available and improving usage across the research community. Committee members worked to expand performance data from both new sources and the continued addition of data from old NRC utilization reports. Based on user feedback, the committee worked to improve the data summary tables to make viewing and downloading smoother. Considerable time was spent planning for modeling workshops held in conjunction with national scientific society meetings and developing proposals to garner external support for those workshops. 

Accomplishments

<p>Following the complete overhaul of the original website resulting in a robust, mobile-friendly, easily navigable resource, the project continued to add data and resources as well as make additional improvements to maximize utility. Website access/user statistics demonstrate an increased access from mobile devices compared to desktop access. User feedback resulted in the review and updating of all definitions for feedstuffs for improved clarity, creation of video tutorials for use of the feed composition database, and creation of a way for users to identify and reference versions of the database in resulting publications and other outputs. Animal performance data from the older NRC Swine and Dairy reports were added to the Animal Nutrition and Metabolism database. Additionally a GitHub repository was established to foster the sharing of computer code among the NANP modeling community.&nbsp;</p><br /> <p>Marketing and communication efforts resulted in the creation of a new brand strategy and logo for NANP along with accompanying educational and promotional materials for distribution at national and international meetings/workshops.&nbsp; Though face-to-face meetings did not take place this year for many professional societies, the NANP had a virtual presence at the 2020 American Society of Animal Science (ASAS) and American Dairy Science Association (ADSA) meetings.</p><br /> <p>NANP continued to support the revision of NASEM&rsquo;s Nutrient Requirements of Poultry, the draft of which is nearing completion and is expected to be ready for reviews by the end of the year. &nbsp;</p><br /> <p>Despite the challenges presented by the COVID-19 pandemic, the Modeling Committee planned and held two virtual workshops: &nbsp;&nbsp;</p><br /> <ul><br /> <li>2020 NANP Nutrition Models Workshop, June 21, 2020; ADSA Annual Meeting (38 attendees)</li><br /> <li>2020 ASAS-NANP Symposium: Mathematical Modeling in Animal Nutrition: Training the Future Generation in Data and Predictive Analytics for a Sustainable Development, July 19, 2020; ASAS Annual Meeting (100 attendees).</li><br /> </ul><br /> <p>In 2020, NANP post-doctoral scholars and committee members published 5 peer-reviewed journal articles detailing both new methods developed in support of creating the feed composition database and the application of NANP resources in animal research. The Coordinating Committee also made progress toward a publication summarizing the 2019 National Summit and the research priorities identified during that event. &nbsp;A complete list of publications can be found at <a href="https://animalnutrition.org/">https://animalnutrition.org/</a>.</p>

Publications

<p>Tran, H., A. Schlageter-Tello, A. Caprez, P. S. Millerm M. B. Hall, W. P. Weiss, and P. J. Kononoff. 2020. Development of feed composition tables using a statistical screening procedure. J. Dairy Sci. 103:P3786-3803. doi:10.3168/jds.2019-16702</p><br /> <p>Schlageter-Tello, A., G. C. Fahey, T. Freel, L. Koutsos, P. S. Miller, and W. P. Weiss. 2020. ASAS-NANP Symposium: Ruminant/Nonruminant Feed Composition: Challenges and opportunities associated with creating large feed ingredient composition tables. J. Anim. Sci. 98. doi:10.1093/jas/skaa240</p><br /> <p><a href="https://doi.org/10.1017/S0021859620000672">Menendez III, H. M. and L. O. Tedeschi. 2020. The characterization of the cow-calf, stocker and feedlot cattle industry water footprint to assess the impact of livestock water use sustainability. J. Agric. Sci. doi:10.1017/S0021859620000672 </a></p><br /> <p><a href="https://doi.org/10.1146/annurev-animal-021419-083913">Mark D. Hanigan&nbsp;and Veridiana L. Daley. 2020. Use of Mechanistic Nutrition Models to Identify Sustainable Food Animal Production. Annu. Rev. Anim. Biosci. 8:355-376. doi:10.1146/annurev-animal-021419-083913 </a>&nbsp;</p><br /> <p><a href="https://www.sciencedirect.com/science/article/pii/S0022030220304185#!">Daley</a>, V.L., <a href="https://www.sciencedirect.com/science/article/pii/S0022030220304185#!">L.E.Armentano^,</a> <a href="https://www.sciencedirect.com/science/article/pii/S0022030220304185#!">P.J.Kononoff^,</a> and <a href="https://www.sciencedirect.com/science/article/pii/S0022030220304185#!">M.D.Hanigan</a>. 2020. Modeling fatty acids for dairy cattle: Models to predict total fatty acid concentration and fatty acid digestion of feedstuffs. J. Dairy Sci. 103:P6982-6999. 103:P3786-3803. Doi:10.3168/jds.2019-17407</p>

Impact Statements

1. NANP is contributing to the body of research on how animal nutrition can be applied to improve animal performance, efficiency and health while minimizing climate and environmental impact and contributing to human health and nutrition. In addition to publications previously reported on the roles of animal nutrition research on greenhouse gas emissions and global maternal and child health, NANP enabled the development of two new publications in 2020 advancing assessments of water use and overall sustainability of animal production. Both publications are creating tools for assessing environmental impacts to aid in policy development and decision-making.

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