Evaluation of predicted ration nutritional values by NRC (2001) and INRA (2018) feed evaluation systems, and implications for the prediction of milk response.


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 2020
Historique:
received: 30 01 2020
accepted: 13 07 2020
pubmed: 5 10 2020
medline: 11 2 2021
entrez: 4 10 2020
Statut: ppublish

Résumé

Net energy and protein systems (hereafter called feed evaluation systems) offer the possibility to formulate rations by matching feed values (e.g., net energy and metabolizable protein) with animal requirements. The accuracy and precision of this approach relies heavily on the quantification of various animal digestive and metabolic responses to dietary changes. Therefore, the aims of the current study were, first, to evaluate the predicted responses to dietary changes of total-tract digestibility (including organic matter, crude protein, and neutral detergent fiber) and nitrogen (N) flows at the duodenum (including microbial N and undigested feed N together with endogenous N) against measurements from published studies by 2 different feed evaluation systems. These feed evaluation systems were the recently updated Institut National de la Recherche Agronomique (INRA, 2018) and the older, yet widely used, National Research Council (NRC, 2001) system. The second objective was to estimate the accuracy and precision of predicting milk yield responses based on values of net energy (NE

Identifiants

pubmed: 33010908
pii: S0022-0302(20)30764-5
doi: 10.3168/jds.2020-18286
pii:
doi:

Substances chimiques

Dietary Fiber 0
Glycolipids 0
Glycoproteins 0
Milk Proteins 0
milk fat globule 0
Lactose J2B2A4N98G
Nitrogen N762921K75

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

11268-11284

Informations de copyright

© 2020, The Authors. Published by Elsevier Inc. and Fass Inc. on behalf of the American Dairy Science Association®. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Auteurs

J B Daniel (JB)

Trouw Nutrition Research and Development, PO Box 299, 3800 AG, Amersfoort, the Netherlands. Electronic address: jean-baptiste.daniel@trouwnutrition.com.

H Van Laar (H)

Trouw Nutrition Research and Development, PO Box 299, 3800 AG, Amersfoort, the Netherlands.

J Dijkstra (J)

Animal Nutrition Group, Wageningen University and Research, PO Box 338, 6700 AH Wageningen, the Netherlands.

D Sauvant (D)

UMR Modélisation Systémique Appliquée aux Ruminants, INRA, AgroParisTech, Université Paris-Saclay, 75005 Paris, France.

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Classifications MeSH