Predictions of ruminal outflow of essential amino acids in dairy cattle.


Journal

Journal of dairy science
ISSN: 1525-3198
Titre abrégé: J Dairy Sci
Pays: United States
ID NLM: 2985126R

Informations de publication

Date de publication:
Dec 2019
Historique:
received: 14 01 2019
accepted: 29 05 2019
pubmed: 11 11 2019
medline: 22 1 2020
entrez: 10 11 2019
Statut: ppublish

Résumé

The objective of this work was to update and evaluate predictions of essential AA (EAA) outflows from the rumen. The model was constructed based on previously derived equations for rumen-undegradable (RUP), microbial (MiCP), and endogenous (EndCP) protein outflows from the rumen, and revised estimates of ingredient composition and EAA composition of the protein fractions. Corrections were adopted to account for incomplete recovery of EAA during 24-h acid hydrolysis. The predicted ruminal protein and EAA outflows were evaluated against a data set of observed values from the literature. Initial evaluations indicated a minor mean bias for non-ammonia, non-microbial nitrogen flow ([RUP + EndCP]/6.25) of 16 g of N per day. Root mean squared errors (RMSE) of EAA predictions ranged from 26.8 to 40.6% of observed mean values. Concordance correlation coefficients (CCC) of EAA predictions ranged from 0.34 to 0.55. Except for Leu, all ruminal EAA outflows were overpredicted by 3.0 to 32 g/d. In addition, small but significant slope biases were present for Arg [2.2% mean squared error (MSE)] and Lys (3.2% MSE). The overpredictions may suggest that the mean recovery of AA from acid hydrolysis across laboratories was less than estimates encompassed in the recovery factors. To test this hypothesis, several regression approaches were undertaken to identify potential causes of the bias. These included regressions of (1) residual errors for predicted EAA flows on each of the 3 protein-driven EA flows, (2) observed EAA flows on each protein-driven EAA flow, including an intercept, (3) observed EAA flows on the protein-driven EAA flows, excluding an intercept term, and (4) observed EAA flows on RUP and MiCP. However, these equations were deemed unsatisfactory for bias adjustment, as they generated biologically unfeasible predictions for some entities. Future work should focus on identifying the cause of the observed prediction bias.

Identifiants

pubmed: 31704011
pii: S0022-0302(19)30954-3
doi: 10.3168/jds.2019-16301
pii:
doi:

Substances chimiques

Amino Acids, Essential 0
Dietary Proteins 0
Nitrogen N762921K75

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

10947-10963

Informations de copyright

Copyright © 2019 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Auteurs

A J Fleming (AJ)

Department of Dairy Science, Virginia Tech, Blacksburg 24061.

H Lapierre (H)

Agricultural and Agri-Food Canada, Sherbrooke, QC, Canada J1M 0C8.

R R White (RR)

Department of Dairy Science, Virginia Tech, Blacksburg 24061; National Animal Nutrition Program, National Research Support Project, USDA, Washington, DC 20250.

H Tran (H)

National Animal Nutrition Program, National Research Support Project, USDA, Washington, DC 20250; Department of Animal Science, University of Nebraska, Lincoln 68583.

P J Kononoff (PJ)

Department of Animal Science, University of Nebraska, Lincoln 68583.

R Martineau (R)

Agricultural and Agri-Food Canada, Sherbrooke, QC, Canada J1M 0C8.

W P Weiss (WP)

Department of Animal Sciences, The Ohio State University, Columbus 43210.

M D Hanigan (MD)

Department of Dairy Science, Virginia Tech, Blacksburg 24061. Electronic address: mhanigan@vt.edu.

Articles similaires

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male
Humans Meals Time Factors Female Adult

Classifications MeSH