Comparison of methods to predict feed intake and residual feed intake using behavioral and metabolite data in addition to classical performance variables

Autor: M.R. Borchers, S.K. DeNise, S.J. Bertics, R.L. Wallace, Malia J. Martin, Heather M. White, Kent A. Weigel, João Ricardo Rebouças Dórea

Publikováno v: Journal of Dairy Science. 104:8765-8782

Predicting dry matter intake (DMI) and feed efficiency by leveraging the use of data streams available on farm could aid efforts to improve the feed efficiency of dairy cattle. Residual feed intake (RFI) is the difference between predicted and observ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::957ba9de9c2b3e043594248aea4ec3c0
https://doi.org/10.3168/jds.2020-20051

Genomic evaluation for wellness traits in US Jersey cattle

Autor: A. Baktula, N. Vukasinovic, S.K. DeNise, C.A. Przybyla, J.J. Brooker, Dianelys González-Peña

Publikováno v: Journal of Dairy Science. 103:1735-1748

The number of Jersey cows in the United States has been steadily increasing in recent years according to Council on Dairy Cattle Breeding statistics. To help producers reduce the risk of health disorders in their Jersey animals, Zoetis has developed

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1eb58c16d3bf2eedfb87c5b289f80f0
https://doi.org/10.3168/jds.2019-16903

Genotype imputation in a tropical crossbred dairy cattle population

Autor: José Bento Sterman Ferraz, T.C.S. Chud, Gerson A. Oliveira Júnior, John B. Cole, S.K. DeNise, Ricardo Vieira Ventura, Shannon Smith, Marcos Vinícius Gualberto Barbosa da Silva, Dorian J. Garrick, Erik Mullart, Danísio Prado Munari

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

The objective of this study was to investigate different strategies for genotype imputation in a population of crossbred Girolando (Gyr × Holstein) dairy cattle. The data set consisted of 478 Girolando, 583 Gyr, and 1,198 Holstein sires genotyped at

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd9d21392e7ba6c5875d8c7d141e1779
https://doi.org/10.3168/jds.2017-12732

320 Genomic Predictions for Calf Wellness in Holstein Cattle

Autor: N. Vukasinovic, D Gonzalez Pena, J.J. Brooker, S.K. DeNise, B Fessenden, C.A. Przybyla

Reducing calf morbidity and mortality is important for attaining financial sustainability and improving animal welfare on commercial dairy operations. Zoetis has developed genomic predictions for calf wellness traits in Holsteins that include Calf Li

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e66abaf41c06a1b2750d9e1f6f0cdc3
https://europepmc.org/articles/PMC6284881/

Autozygosity islands and ROH patterns in Nellore lineages: evidence of selection for functionally important traits

Autor: Jason B. Osterstock, Fernando A. Di Croce, Fabieli Louise Braga Feitosa, Danísio Prado Munari, Julia Metzger, Elisa Peripolli, S.K. DeNise, Fernando Lopes, Mariana Piatto Berton, Marcos Vinícius Antunes de Lemos, Bianca Ferreira Olivieri, Cláudio de Ulhôa Magnabosco, Nedenia Bonvino Stafuzza, Raysildo Barbosa Lôbo, Sabrina Kluska, Angélica Simone Cravo Pereira, Fernando Baldi

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
BMC Genomics, Vol 19, Iss 1, Pp 1-14 (2018)

Background The aim of this study was to assess genome-wide autozygosity in a Nellore cattle population and to characterize ROH patterns and autozygosity islands that may have occurred due to selection within its lineages. It attempts also to compare

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19bab4b28053fa69f987423c4356be56