Literature DB >> 26696120

Quantification of the main digestive processes in ruminants: the equations involved in the renewed energy and protein feed evaluation systems.

D Sauvant1, P Nozière2.   

Abstract

The evolution of feeding systems for ruminants towards evaluation of diets in terms of multiple responses requires the updating of the calculation of nutrient supply to the animals to make it more accurate on aggregated units (feed unit, or UF, for energy and protein digestible in the intestine, or PDI, for metabolizable protein) and to allow prediction of absorbed nutrients. The present update of the French system is based on the building and interpretation through meta-analysis of large databases on digestion and nutrition of ruminants. Equations involved in the calculation of UF and PDI have been updated, allowing: (1) prediction of the out flow rate of particles and liquid depending on the level of intake and the proportion of concentrate, and the use of this in the calculation of ruminal digestion of protein and starch from in situ data; (2) the system to take into account the effects of the main factors of digestive interactions (level of intake, proportion of concentrate, rumen protein balance) on organic matter digestibility, energy losses in methane and in urine; (3) more accurate calculation of the energy available in the rumen and the efficiency of its use for the microbial protein synthesis. In this renewed model UF and PDI values of feedstuffs vary depending on diet composition, and intake level. Consequently, standard feed table values can be considered as being only indicative. It is thus possible to predict the nutrient supply on a wider range of diets more accurately and in particular to better integrate energy×protein interactions occurring in the gut.

Entities:  

Keywords:  digestion; feed unit system; meta-analysis; nitrogen; ruminant

Mesh:

Year:  2015        PMID: 26696120     DOI: 10.1017/S1751731115002670

Source DB:  PubMed          Journal:  Animal        ISSN: 1751-7311            Impact factor:   3.240


  6 in total

Review 1.  ASAS-NANP symposium: mathematical modeling in animal nutrition: limitations and potential next steps for modeling and modelers in the animal sciences.

Authors:  Marc Jacobs; Aline Remus; Charlotte Gaillard; Hector M Menendez; Luis O Tedeschi; Suresh Neethirajan; Jennifer L Ellis
Journal:  J Anim Sci       Date:  2022-06-01       Impact factor: 3.338

2.  Body fat mobilization in early lactation influences methane production of dairy cows.

Authors:  A Bielak; M Derno; A Tuchscherer; H M Hammon; A Susenbeth; B Kuhla
Journal:  Sci Rep       Date:  2016-06-16       Impact factor: 4.379

3.  ASN-ASAS SYMPOSIUM: FUTURE OF DATA ANALYTICS IN NUTRITION: Mathematical modeling in ruminant nutrition: approaches and paradigms, extant models, and thoughts for upcoming predictive analytics1,2.

Authors:  Luis O Tedeschi
Journal:  J Anim Sci       Date:  2019-04-29       Impact factor: 3.159

4.  Relationship between feed efficiency indexes and performance, body measurements, digestibility, energy partitioning, and nitrogen partitioning in pre-weaning dairy heifers.

Authors:  Camila Flávia de Assis Lage; Sandra Gesteira Coelho; Hilton do Carmo Diniz Neto; Victor Marco Rocha Malacco; João Paulo Pacheco Rodrigues; João Paulo Sacramento; Fernanda Samarini Machado; Luiz Gustavo Ribeiro Pereira; Thierry Ribeiro Tomich; Mariana Magalhães Campos
Journal:  PLoS One       Date:  2019-10-10       Impact factor: 3.240

5.  Effect of Two Nutritional Strategies to Balance Energy and Protein Supply in Fattening Heifers on Performance, Ruminal Metabolism, and Carcass Characteristics.

Authors:  Rodrigo A Arias; Gonzalo Guajardo; Stefan Kunick; Christian Alvarado-Gilis; Juan Pablo Keim
Journal:  Animals (Basel)       Date:  2020-05-14       Impact factor: 2.752

6.  Substituting ryegrass-based pasture with graded levels of forage rape in the diet of lambs decreases methane emissions and increases propionate, succinate, and primary alcohols in the rumen.

Authors:  Maria M Della Rosa; Edgar Sandoval; Peter Reid; Dongwen Luo; David Pacheco; Peter H Janssen; Arjan Jonker
Journal:  J Anim Sci       Date:  2022-09-01       Impact factor: 3.338

  6 in total

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