Zobrazeno 1 - 10
of 149
pro vyhledávání: '"Robert J Tempelman"'
Autor:
Sajjad Toghiani, Paul M. VanRaden, Michael J. VandeHaar, Ransom L. Baldwin, Kent A. Weigel, Heather M. White, Francisco Peñagaricano, James E. Koltes, José Eduardo P. Santos, Kristen L. Parker Gaddis, Robert J. Tempelman
Publikováno v:
Journal of Dairy Science, Vol 107, Iss 9, Pp 7009-7021 (2024)
ABSTRACT: Large datasets allow estimation of feed required for individual milk components or body maintenance. Phenotypic regressions are useful for nutrition management, but genetic regressions are more useful in breeding programs. Dry matter intake
Externí odkaz:
https://doaj.org/article/47b067e591d14c2db168c17cc71d7002
Autor:
Juma A Mmongoyo, Felicia Wu, John E Linz, Muraleedharan G Nair, Jovin K Mugula, Robert J Tempelman, Gale M Strasburg
Publikováno v:
PLoS ONE, Vol 12, Iss 4, p e0175801 (2017)
Aflatoxin, a mycotoxin found commonly in maize and peanuts worldwide, is associated with liver cancer, acute toxicosis, and growth impairment in humans and animals. In Tanzania, sunflower seeds are a source of snacks, cooking oil, and animal feed. Th
Externí odkaz:
https://doaj.org/article/e1ca0b860caf4a2584d1f10d957ee4f6
Autor:
Nienke van Staaveren, Hinayah Rojas de Oliveira, Kerry Houlahan, Tatiane C.S. Chud, Gerson A. Oliveira Jr., Dagnachew Hailemariam, Gerrit Kistemaker, Filippo Miglior, Graham Plastow, Flavio S. Schenkel, Ronaldo Cerri, Marc Andre Sirard, Paul Stothard, Jennie Pryce, Adrien Butty, Patrick Stratz, Emhimad A.E. Abdalla, Dierck Segelke, Eckhard Stamer, Georg Thaller, Jan Lassen, Coralia Ines V. Manzanilla-Pech, Rasmus B. Stephansen, Noureddine Charfeddine, Aser García-Rodríguez, Oscar González-Recio, Javier López-Paredes, Ransom Baldwin, Javier Burchard, Kristen L. Parker Gaddis, James E. Koltes, Francisco Peñagaricano, José Eduardo P. Santos, Robert J. Tempelman, Michael VandeHaar, Kent Weigel, Heather White, Christine F. Baes
Publikováno v:
Journal of Dairy Science, Vol 107, Iss 3, Pp 1510-1522 (2024)
ABSTRACT: The Resilient Dairy Genome Project (RDGP) is an international large-scale applied research project that aims to generate genomic tools to breed more resilient dairy cows. In this context, improving feed efficiency and reducing greenhouse ga
Externí odkaz:
https://doaj.org/article/242033d319414cc994198f7198c2cffc
Autor:
Juan Pedro Steibel, Ronald O Bates, Guilherme J M Rosa, Robert J Tempelman, Valencia D Rilington, Ashok Ragavendran, Nancy E Raney, Antonio Marcos Ramos, Fernando F Cardoso, David B Edwards, Catherine W Ernst
Publikováno v:
PLoS ONE, Vol 6, Iss 2, p e16766 (2011)
BACKGROUND: Nearly 6,000 QTL have been reported for 588 different traits in pigs, more than in any other livestock species. However, this effort has translated into only a few confirmed causative variants. A powerful strategy for revealing candidate
Externí odkaz:
https://doaj.org/article/73b556b35d4349b784be40e6283ceb3a
Autor:
Tessa C. Grebey, Janice C. Swanson, Tina M. Widowski, Robert J. Tempelman, Janice M. Siegford
Publikováno v:
Poultry Science, Vol 103, Iss 2, Pp 103322- (2024)
ABSTRACT: Producers are moving toward cage-free systems to house laying hens. These include aviary styles with multilevel wire enclosures and litter areas on the floor. In aviaries with doors hens can be confined within the tiered enclosure, which ca
Externí odkaz:
https://doaj.org/article/8f3a9063ef874c4bae9030d96a99749e
Autor:
Ligia Cavani, Kristen L. Parker Gaddis, Ransom L. Baldwin, José E.P. Santos, James E. Koltes, Robert J. Tempelman, Michael J. VandeHaar, Malia J.M. Caputo, Heather M. White, Francisco Peñagaricano, Kent A. Weigel
Publikováno v:
JDS Communications, Vol 4, Iss 3, Pp 201-204 (2023)
Residual feed intake (RFI) has been used as a measure of feed efficiency in farm animals. In lactating dairy cattle, RFI is typically obtained as the difference between dry matter intake observations and predictions from regression on known energy si
Externí odkaz:
https://doaj.org/article/563c97d6a545410ba6ea0caafab6affa
Autor:
Ligia Cavani, William E. Brown, Kristen L. Parker Gaddis, Robert J. Tempelman, Michael J. VandeHaar, Heather M. White, Francisco Peñagaricano, Kent A. Weigel
Publikováno v:
Journal of Dairy Science, Vol 105, Iss 9, Pp 7564-7574 (2022)
ABSTRACT: Residual feed intake (RFI) is commonly used to measure feed efficiency but individual intake recording systems are needed. Feeding behavior may be used as an indicator trait for feed efficiency using less expensive precision livestock farmi
Externí odkaz:
https://doaj.org/article/1c16a097f8eb464b97303ee4b268b8da
Autor:
Piush Khanal, Robert J. Tempelman
Publikováno v:
Journal of Dairy Science, Vol 105, Iss 4, Pp 3209-3221 (2022)
ABSTRACT: Accurate early diagnosis of pregnancy is important for timely reproductive management of dairy farms. Fourier-transform mid-infrared (FT-MIR) milk spectral data are routinely used for determining milk components such as fat and protein, whe
Externí odkaz:
https://doaj.org/article/fb9dba0c0e4d407a99e50dc9695ac461
Autor:
Zuoxiang Liang, Dzianis Prakapenka, Kristen L. Parker Gaddis, Michael J. VandeHaar, Kent A. Weigel, Robert J. Tempelman, James E. Koltes, José Eduardo P. Santos, Heather M. White, Francisco Peñagaricano, Ransom L. Baldwin VI, Yang Da
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
The impact of genomic epistasis effects on the accuracy of predicting the phenotypic values of residual feed intake (RFI) in U.S. Holstein cows was evaluated using 6215 Holstein cows and 78,964 SNPs. Two SNP models and seven epistasis models were ini
Externí odkaz:
https://doaj.org/article/8c1acb4721d9415995ab89b3ea3e2ef7
Autor:
Zhining Ou, Robert J. Tempelman, Juan P. Steibel, Catherine W. Ernst, Ronald O. Bates, Nora M. Bello
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 6, Iss 1, Pp 1-13 (2016)
Whole-genome prediction (WGP) models that use single-nucleotide polymorphism marker information to predict genetic merit of animals and plants typically assume homogeneous residual variance. However, variability is often heterogeneous across agricult
Externí odkaz:
https://doaj.org/article/866eb6730ea9494dbaf9c0191a57510a