Zobrazeno 1 - 10
of 193
pro vyhledávání: '"L.E. Armentano"'
Publikováno v:
Journal of Dairy Science, Vol 105, Iss 10, Pp 8016-8035 (2022)
ABSTRACT: Few models have attempted to predict total milk fat because of its high variation among and within herds. The objective of this meta-analysis was to develop models to predict milk fat concentration and yield of lactating dairy cows. Data fr
Externí odkaz:
https://doaj.org/article/394875a1bc1c4bc5b252dded93f1e3d2
Publikováno v:
Journal of Dairy Science. 103:6982-6999
Development of predictive models of fatty acid (FA) use by dairy cattle still faces challenges due to high variation in FA composition among feedstuffs and fat supplements. Two meta-analytical studies were carried out to develop empirical models for
Autor:
K.A. Weld, L.E. Armentano
Publikováno v:
Journal of Dairy Science. 101:9768-9776
It is well established in the literature that feeding free vegetable oils rich in oleic acid results in greater milk fat secretion than does feeding linoleic-rich oils. The objectives of these experiments were to analyze the effects of oleic and lino
Autor:
Erin E. Connor, Y. de Haas, L. C. Hardie, D.M. Spurlock, Zhiqiang Wang, Jack C. M. Dekkers, Kent A. Weigel, Robert J. Tempelman, Mike Coffey, L.E. Armentano, Michael J. VandeHaar, Roel F. Veerkamp, G.R. Wiggans, Mark D. Hanigan, C.R. Staples
Publikováno v:
Journal of Dairy Science 100 (2017) 11
Journal of Dairy Science, 100(11), 9061-9075
Journal of Dairy Science, 100(11), 9061-9075
The objective of this study was to identify genomic regions and candidate genes associated with feed efficiency in lactating Holstein cows. In total, 4,916 cows with actual or imputed genotypes for 60,671 single nucleotide polymorphisms having indivi
Autor:
Robin R. White, Y. Roman-Garcia, Tyler McGill, R. Garnett, Mark D. Hanigan, L.E. Armentano, William P. Weiss, Michael J. VandeHaar, Jeffrey L. Firkins
Publikováno v:
Journal of Dairy Science. 100:3591-3610
Evaluation of ration balancing systems such as the National Research Council (NRC) Nutrient Requirements series is important for improving predictions of animal nutrient requirements and advancing feeding strategies. This work used a. literature data
Autor:
Y. Lu, Roel F. Veerkamp, C.R. Staples, Y. de Haas, Erin E. Connor, D.M. Spurlock, Michael J. VandeHaar, Robert J. Tempelman, Mike Coffey, Zhiqiang Wang, L.E. Armentano, Kent A. Weigel
Publikováno v:
Journal of Dairy Science, 100(1), 412-427
Journal of Dairy Science 100 (2017) 1
Journal of Dairy Science 100 (2017) 1
Feed efficiency (FE), characterized as the fraction of feed nutrients converted into salable milk or meat, is of increasing economic importance in the dairy industry. We conjecture that FE is a complex trait whose variation and relationships or parti
Publikováno v:
Journal of Dairy Science. 99:1672-1692
This article evaluates the estimated economic impact of nutritional grouping in commercial dairy herds using a stochastic Monte Carlo simulation model. The model was initialized by separate data sets obtained from 5 commercial dairy herds. These herd
Autor:
Roel F. Veerkamp, D.M. Spurlock, L.E. Armentano, Robert J. Tempelman, Michael J. VandeHaar, Kent A. Weigel
Publikováno v:
Journal of Dairy Science, 99(6), 4941-4954
Journal of Dairy Science 99 (2016) 6
Journal of Dairy Science 99 (2016) 6
Feed efficiency, as defined by the fraction of feed energy or dry matter captured in products, has more than doubled for the US dairy industry in the past 100 yr. This increased feed efficiency was the result of increased milk production per cow achi
Autor:
D.M. Spurlock, Kent A. Weigel, L.E. Armentano, Roel F. Veerkamp, Mark D. Hanigan, C.R. Staples, T.J. Lawlor, M.L. van Pelt, Y. de Haas, C.I.V. Manzanilla-Pech, Michael J. VandeHaar, Robert J. Tempelman
Publikováno v:
Journal of Dairy Science 99 (2016) 1
Journal of Dairy Science, 99(1), 443-457
Journal of Dairy Science, 99(1), 443-457
To include feed-intake-related traits in the breeding goal, accurate estimates of genetic parameters of feed intake, and its correlations with other related traits (i.e., production, conformation) are required to compare different options. However, t
Autor:
Y. Lu, C.R. Staples, Y. de Haas, Michael J. VandeHaar, Mike Coffey, Kent A. Weigel, L.E. Armentano, D.M. Spurlock, Mark D. Hanigan, Roel F. Veerkamp, Zhiqiang Wang, Erin E. Connor, Robert J. Tempelman
Publikováno v:
Journal of Dairy Science 101 (2018) 4
Journal of Dairy Science, 101(4), 3140-3154
Journal of Dairy Science, 101(4), 3140-3154
Genome-wide association (GWA) of feed efficiency (FE) could help target important genomic regions influencing FE. Data provided by an international dairy FE research consortium consisted of phenotypic records on dry matter intakes (DMI), milk energy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04f1ef5c7bdfff0e76da07a1860f4b60
https://research.wur.nl/en/publications/genome-wide-association-analyses-based-on-a-multiple-trait-approa
https://research.wur.nl/en/publications/genome-wide-association-analyses-based-on-a-multiple-trait-approa