Zobrazeno 1 - 10
of 554
pro vyhledávání: '"D, Sauvant"'
Publikováno v:
Animal, Vol 14, Iss 5, Pp 1083-1092 (2020)
In ruminants, feeding behaviour variables are parameters involved in feed efficiency that show variation among individuals. This study aimed to evaluate during the first two production cycles in ruminants the repeatability of feed intake pattern, whi
Externí odkaz:
https://doaj.org/article/bcb624df28304b148039bfa899d2b76b
Autor:
C. Loncke, P. Nozière, J. Vernet, H. Lapierre, L. Bahloul, M. Al-Jammas, D. Sauvant, I. Ortigues-Marty
Publikováno v:
Animal, Vol 14, Iss 7, Pp 1422-1437 (2020)
For their glucose supply, ruminants are highly dependent on the endogenous synthesis in the liver, but despite the numerous studies that evaluated hepatic glucose production, very few simultaneously measured hepatic glucose production and uptake of a
Externí odkaz:
https://doaj.org/article/673aafafd6a04a51835ce4c678ba5d3a
Autor:
D. SAUVANT
Publikováno v:
INRAE Productions Animales, Vol 13, Iss 2 (2020)
Cette revue a pour but de dégager les principaux effets nutritionnels quantitatifs des variations de la granulométrie des aliments et des rations des ruminants. La granulométrie est évaluée par tamisages successifs et résumée par le diamètre
Externí odkaz:
https://doaj.org/article/caedd7bad2234ad2a6ba0e48074c5c94
Publikováno v:
Animal, Vol 14, Iss , Pp s207-s222 (2020)
In animal sciences, the number of published meta-analyses is increasing at a rate of 15% per year. This current review focuses on the good practices and the potential pitfalls in the conduct of meta-analyses in animal sciences, nutrition in particula
Externí odkaz:
https://doaj.org/article/8b059fc9619b4d02ab7ca0031c9cf5d9
Prediction of the amino acid digestibility of legume seeds in growing pigs: a meta-analysis approach
Publikováno v:
Animal, Vol 12, Iss 5, Pp 940-949 (2018)
On pig farms, a high proportion of the cost of production comes from feed costs. However, the use of alternative ingredients such as legume seeds may help to reduce this cost. In fact, legume seeds are an important source of essential amino acids (EA
Externí odkaz:
https://doaj.org/article/0f112e3faeb04ca0a28b576bd692ca5b
Publikováno v:
Animal, Vol 12, Iss 4, Pp 701-712 (2018)
What is a good (useful) mathematical model in animal science? For models constructed for prediction purposes, the question of model adequacy (usefulness) has been traditionally tackled by statistical analysis applied to observed experimental data rel
Externí odkaz:
https://doaj.org/article/97d251b7274e483e9216af1351989f60
Publikováno v:
Animal, Vol 12, Iss 6, Pp 1182-1195 (2018)
The control of nutrient partitioning is complex and affected by many factors, among them physiological state and production potential. Therefore, the current model aims to provide for dairy cows a dynamic framework to predict a consistent set of refe
Externí odkaz:
https://doaj.org/article/d8b1178a548440a3ae545662a6c28c42
Autor:
D. Sauvant, P. Nozière
Publikováno v:
Animal, Vol 10, Iss 5, Pp 755-770 (2016)
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 e
Externí odkaz:
https://doaj.org/article/7b777b1ae281481899be2e427cb134da
Publikováno v:
Animal, Vol 10, Iss 10, Pp 1635-1644 (2016)
Oilseed meal is an important source of essential amino acids (EAA) for livestock production. It is the second most important ingredient in pig feed after grains. Optimal use of these ingredients requires precise knowledge of amino acid standardized i
Externí odkaz:
https://doaj.org/article/5de1b6e0cf184c21b6379e77aa4b5e5e
Publikováno v:
Animal, Vol 10, Iss 12, Pp 1975-1985 (2016)
Using a meta-analysis of literature data, this study aimed to quantify the dry matter (DM) intake response to changes in diet composition, and milk responses (yield, milk component yields and milk composition) to changes in dietary net energy for lac
Externí odkaz:
https://doaj.org/article/05688a20c02a49c2ad273b76355b8fd2