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Registros recuperados : 81 | |
15. | | LEGARRA, A.; AGUILAR, I.; MISZTAL, I. Single step methods with a view towards poultry breeding. Volume Species Breeding: Poultry, 324. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.324. Acknowledgements: This work has been financed by X-Gen and GenSSeq actions from SelGen metaprogram (INRA).Biblioteca(s): INIA Las Brujas. |
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17. | | MASUDA, Y.; AGUILAR, I.; TSURUTA, S.; MISZTAL, I. Acceleration of computations in AI REML for single-step GBLUP models. Volume Methods and Tools: Statistical methods - linear and nonlinear models (Posters), 703. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.703.Biblioteca(s): INIA Las Brujas. |
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20. | | AGUILAR, I.; MISZTAL, I.; LEGARRA, A.; TSURUTA, S. Efficient computations of genomic relationship matrix and other matrices used in the single-step evaluation. Volume Methods and tools: Software and bioinformatics - Lecture Sessions, 0768. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 9., Leipzig, Germany, August 1-6, 2010. p. 0768. Acknowledgments: This study was partially funded by the Holstein Association USA Inc. and by AFRI grants 2009-65205-05665 and 2010-65205-20366 from the USDA NIFA Animal Genome Program. The authors thank P.M. VanRaden from Animal...Biblioteca(s): INIA Las Brujas. |
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Registros recuperados : 81 | |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
21/02/2014 |
Actualizado : |
04/02/2020 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
A - 1 |
Autor : |
RAVAGNOLO, O.; MISZTAL, I. |
Afiliación : |
OLGA RAVAGNOLO GUMILA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; I. MISZTAL, Dept. of Animal and Dairy Science, University of Georgia, Athens, GA, United States. |
Título : |
Studies on genetics of heat tolerance in dairy cattle with reduced weather information via cluster analysis. |
Fecha de publicación : |
2002 |
Fuente / Imprenta : |
Journal of Dairy Science, June 2002, Volume 85, Issue 6, Pages 1586-1589. OPEN ACCESS. DOI: https://doi.org/10.3168/jds.S0022-0302(02)74228-8 |
ISSN : |
0022-0302 |
DOI : |
10.3168/jds.S0022-0302(02)74228-8 |
Idioma : |
Inglés |
Notas : |
Article history: |
Contenido : |
ABSTRACT.
The objective of this study was to explore the possibility of reducing the number of weather stations for studies on genetics of heat tolerance in dairy cattle. The similarity of information from 21 Georgia weather stations was analyzed by cluster analysis. Two major clusters have been found, separating Georgia along the NE and SW line. One weather station was selected for each of the clusters based on the minimal distance to all the remaining weather stations and on completeness of the weather information. The production dataset consisted of 114,751 first-parity test-day records for milk on 14,297 Holsteins from 120 herds in Georgia. Analyses using a model for daily milk yield with temperature-humidity index classes and several other fixed effects showed no increase in error sum of squares when using only two weather stations. The threshold of heat stress was different for each of the two regions but the rate of decline after the threshold was similar. After accounting for different thresholds, the genetic component of heat tolerance for milk was higher with the two-station model. Genetic studies on or evaluation for heat tolerance based on information from a few carefully selected weather stations can be as accurate as those based on information from numerous such stations. |
Palabras claves : |
Dairy; Heat stress; Random regressions. |
Asunto categoría : |
L01 Ganadería |
URL : |
https://www.journalofdairyscience.org/article/S0022-0302(02)74228-8/pdf
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Marc : |
LEADER 02029naa a2200205 a 4500 001 1012856 005 2020-02-04 008 2002 bl uuuu u00u1 u #d 022 $a0022-0302 024 7 $a10.3168/jds.S0022-0302(02)74228-8$2DOI 100 1 $aRAVAGNOLO, O. 245 $aStudies on genetics of heat tolerance in dairy cattle with reduced weather information via cluster analysis.$h[electronic resource] 260 $c2002 500 $aArticle history: 520 $aABSTRACT. The objective of this study was to explore the possibility of reducing the number of weather stations for studies on genetics of heat tolerance in dairy cattle. The similarity of information from 21 Georgia weather stations was analyzed by cluster analysis. Two major clusters have been found, separating Georgia along the NE and SW line. One weather station was selected for each of the clusters based on the minimal distance to all the remaining weather stations and on completeness of the weather information. The production dataset consisted of 114,751 first-parity test-day records for milk on 14,297 Holsteins from 120 herds in Georgia. Analyses using a model for daily milk yield with temperature-humidity index classes and several other fixed effects showed no increase in error sum of squares when using only two weather stations. The threshold of heat stress was different for each of the two regions but the rate of decline after the threshold was similar. After accounting for different thresholds, the genetic component of heat tolerance for milk was higher with the two-station model. Genetic studies on or evaluation for heat tolerance based on information from a few carefully selected weather stations can be as accurate as those based on information from numerous such stations. 653 $aDairy 653 $aHeat stress 653 $aRandom regressions 700 1 $aMISZTAL, I. 773 $tJournal of Dairy Science, June 2002, Volume 85, Issue 6, Pages 1586-1589. OPEN ACCESS. DOI: https://doi.org/10.3168/jds.S0022-0302(02)74228-8
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