SAES-422 Multistate Research Activity Accomplishments Report

Sections

Basic Information
Additional Info

Status: Approved

Basic Information

Project No. and Title: NRSP_old9 : National Animal Nutrition Program
Period Covered: 10/01/2018 to 01/01/1970
Date of Report: 12/01/2019
Annual Meeting Dates: 04/09/2019 to 04/11/2019

Participants

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

Brief Summary of Minutes of Annual Meeting

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

Attached file:

FY19-minutes.pdf

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.

The NANP continued to serve key roles in the updates to the National Academy of Science, Engineering and Medicine’s Animal Nutrition Committee, creating feed composition and modeling resources for the active update committees for both dairy and poultry.

Major accomplishments toward meeting the project’s objectives and anticipated outcomes include:

The capabilities for the feedstuffs database were expanded to include filters to: 1) transform nutritional information from a ‘dry matter’(default) to an ‘as fed’ 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.
In support of the NASEM “Nutrient Requirements of Poultry, 10^th Edition” 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.
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.
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).
NANP participants were awarded a NIFA grant titled “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.
The second NANP National Summit “Producing Food with Animals: Sustainability, Efficiency and Security in the U.S.” 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.

Presentations and other materials from the following workshops and symposia held during the reporting period can be found on the NANP website (https://animalnutrition.org/).

Impacts

Using datasets created by the screening procedure developed to populate the feed ingredient database, the NANP is creating new methods based on machine learning techniques (decision tree, random forest, gradient boosting, and neural networks) that will be able to automatically classify new feed datasets. This is yet another example of the new knowledge and tools being created by NANP that improve research efficiencies across the discipline.
The NANP is filling critical gaps in training and professional development through the delivery of programs and resources in support of animal nutrition research. Collectively the modeling workshops held during the American Dairy Science Association alone have reached over 270 participants from 5 continents, most of whom self-identified as having less than 2 years of prior modeling experience. Additionally, workshop materials have been viewed more than 3000 times on public websites including NANP. These workshops are reaching broad audiences and training the next generation of dairy scientists in the modeling skills needed to accurately evaluate diets and predict excretion of nutrients to the environment.
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.

Publications

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

C.F Nicholson, A.R.P. Simões, 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.1903–1920, https://doi.org/10.1093/jas/skz105

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.1921–1944, https://doi.org/10.1093/jas/skz092

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

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 – 11th, Austin, TX.

M.S. Edwards, A. Schlageter-Tello. 2019. National Animal Nutrition Program: Feed Ingredient Nutrient Composition – What’s in it for Equids? Equine Science Society Symposium. June 3rd -6th, Asheville, North Carolina.

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’s Technical Symposium, May 21st – 23th, Indianapolis, IN.

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 – 14th, Atlanta, GA.

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.

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

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.

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

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.

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.

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.

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