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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
21/02/2014 |
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Actualizado : |
13/12/2018 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
SÁNCHEZ, J. P.; MISZTAL, I.; AGUILAR, I.; BERTRAND, J. K. |
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Afiliación : |
J. P. SÁNCHEZ, Animal and Dairy Science Department, University of Georgia, United States; Departamento de Producción Animal, Facultad de Veterinaria, Universidad de León, Spain; I. MISZTAL, Animal and Dairy Science Department, University of Georgia, United States; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; J. K. BERTRAND, Animal and Dairy Science Department, University of Georgia, United States. |
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Título : |
Genetic evaluation of growth in a multibreed beef cattle population using random regression-linear spline models. |
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Fecha de publicación : |
2008 |
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Fuente / Imprenta : |
Journal of Animal Science, 2008, 86 (2): 267-277. |
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ISSN : |
0021-8812 |
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DOI : |
10.2527/jas.2007-0064 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received January 24, 2007. // Accepted October 2, 2007. |
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Contenido : |
ABSTRACT.
The objective of this study was to examine the feasibility of using random regression-spline (RR-spline) models for fitting growth traits in a multibreed beef cattle population. To meet the objective, the results from the RR-spline model were compared with the widely used multitrait (MT) model when both were fit to a data set (1.8 million records and 1.1 million animals) provided by the American Gelbvieh Association. The effect of prior information on the EBV of sires was also investigated. In both RR-spline and MT models, the following effects were considered: individual direct and maternal additive genetic effects, contemporary group, age of the animal at measurement, direct and maternal heterosis, and direct and maternal additive genetic mean effect of the breed. Additionally, the RR-spline model included an individual direct permanent environmental effect. When both MT and RR-spline models were applied to a data set containing records for weaning weight (WWT) and yearling weight (YWT) within specified age ranges, the rankings of bulls' direct EBV (as measured via Pearson correlations) provided by both models were comparable, with slightly greater differences in the reranking of bulls observed for YWT evaluations (≥0.99 for BWT and WWT and ≥0.98 for YWT); also, some bulls dropped from the top 100 list when these lists were compared across methods. For maternal effects, the estimated correlations were slightly smaller, particularly for YWT; again, some drops from the top 100 animals were observed. As in regular MT multibreed genetic evaluations, the heterosis effects and the additive genetic effects of the breed could not be estimated from field data, because there were not enough contemporary groups with the proper composition of purebred and crossbred animals; thus, prior information based on literature values had to be included. The inclusion of prior information had a negligible effect in the overall ranking for bulls with greater than 20 birth weight progeny records; however, the effect of prior information for breeds or groups poorly represented in the data was important. The Pearson correlations for direct and maternal WWT and YWT ranged from 0.95 to 0.98 when comparing evaluations of data sets for which the out-of-range age records were removed or retained. Random regression allows for avoiding the discarding of records that are outside the usual age ranges of measurement; thus, greater accuracies are achieved, and greater genetic progress could be expected.
©2008 American Society of Animal Science. All rights reserved. MenosABSTRACT.
The objective of this study was to examine the feasibility of using random regression-spline (RR-spline) models for fitting growth traits in a multibreed beef cattle population. To meet the objective, the results from the RR-spline model were compared with the widely used multitrait (MT) model when both were fit to a data set (1.8 million records and 1.1 million animals) provided by the American Gelbvieh Association. The effect of prior information on the EBV of sires was also investigated. In both RR-spline and MT models, the following effects were considered: individual direct and maternal additive genetic effects, contemporary group, age of the animal at measurement, direct and maternal heterosis, and direct and maternal additive genetic mean effect of the breed. Additionally, the RR-spline model included an individual direct permanent environmental effect. When both MT and RR-spline models were applied to a data set containing records for weaning weight (WWT) and yearling weight (YWT) within specified age ranges, the rankings of bulls' direct EBV (as measured via Pearson correlations) provided by both models were comparable, with slightly greater differences in the reranking of bulls observed for YWT evaluations (≥0.99 for BWT and WWT and ≥0.98 for YWT); also, some bulls dropped from the top 100 list when these lists were compared across methods. For maternal effects, the estimated correlations were slightly smaller, particularly for YWT; again, som... Presentar Todo |
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Palabras claves : |
BEEF CATTLE; GROWTH; MULTIBREED; RANDOM REGRESSION MODEL; SPLINE. |
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Asunto categoría : |
L01 Ganadería |
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Marc : |
LEADER 03374naa a2200253 a 4500
001 1012853
005 2018-12-13
008 2008 bl uuuu u00u1 u #d
022 $a0021-8812
024 7 $a10.2527/jas.2007-0064$2DOI
100 1 $aSÁNCHEZ, J. P.
245 $aGenetic evaluation of growth in a multibreed beef cattle population using random regression-linear spline models.
260 $c2008
500 $aArticle history: Received January 24, 2007. // Accepted October 2, 2007.
520 $aABSTRACT. The objective of this study was to examine the feasibility of using random regression-spline (RR-spline) models for fitting growth traits in a multibreed beef cattle population. To meet the objective, the results from the RR-spline model were compared with the widely used multitrait (MT) model when both were fit to a data set (1.8 million records and 1.1 million animals) provided by the American Gelbvieh Association. The effect of prior information on the EBV of sires was also investigated. In both RR-spline and MT models, the following effects were considered: individual direct and maternal additive genetic effects, contemporary group, age of the animal at measurement, direct and maternal heterosis, and direct and maternal additive genetic mean effect of the breed. Additionally, the RR-spline model included an individual direct permanent environmental effect. When both MT and RR-spline models were applied to a data set containing records for weaning weight (WWT) and yearling weight (YWT) within specified age ranges, the rankings of bulls' direct EBV (as measured via Pearson correlations) provided by both models were comparable, with slightly greater differences in the reranking of bulls observed for YWT evaluations (≥0.99 for BWT and WWT and ≥0.98 for YWT); also, some bulls dropped from the top 100 list when these lists were compared across methods. For maternal effects, the estimated correlations were slightly smaller, particularly for YWT; again, some drops from the top 100 animals were observed. As in regular MT multibreed genetic evaluations, the heterosis effects and the additive genetic effects of the breed could not be estimated from field data, because there were not enough contemporary groups with the proper composition of purebred and crossbred animals; thus, prior information based on literature values had to be included. The inclusion of prior information had a negligible effect in the overall ranking for bulls with greater than 20 birth weight progeny records; however, the effect of prior information for breeds or groups poorly represented in the data was important. The Pearson correlations for direct and maternal WWT and YWT ranged from 0.95 to 0.98 when comparing evaluations of data sets for which the out-of-range age records were removed or retained. Random regression allows for avoiding the discarding of records that are outside the usual age ranges of measurement; thus, greater accuracies are achieved, and greater genetic progress could be expected. ©2008 American Society of Animal Science. All rights reserved.
653 $aBEEF CATTLE
653 $aGROWTH
653 $aMULTIBREED
653 $aRANDOM REGRESSION MODEL
653 $aSPLINE
700 1 $aMISZTAL, I.
700 1 $aAGUILAR, I.
700 1 $aBERTRAND, J. K.
773 $tJournal of Animal Science, 2008, 86 (2): 267-277.
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Registro original : |
INIA Las Brujas (LB) |
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| Registros recuperados : 5 | |
| 1. |  | WILLIAMS, J.L.; AGUILAR, I.; REKAYA, R.; BERTRAND, J.K. Estimation of breed and heterosis effects for growth and carcass traits in cattle using published crossbreeding studies. Journal of Animal Science, 2010, v.88, no.2, p.460-466. Article history: Received November 7, 2008. / Accepted October 2, 2009.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : A - 1 |
| Biblioteca(s): INIA Las Brujas. |
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| 3. | | DE MATTOS, D.; MISZTAL, I.; BERTRAND, J. K. Variance and covariance components for weaning weight for Herefords in three countries. Journal of Animal Science, January 2000, volume 78, Issue 1, pages 33-37. OPEN ACCESS. Article history: Received January 19, 1999. // Accepted August 8, 1999.
Research was funded by the American Hereford Assoc., Kansas City, MO; Canadian Hereford Assoc., Calgary, Alberta, Canada; and Instituto Nacional de Investigacion...| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : A - 1 |
| Biblioteca(s): INIA Las Brujas. |
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| 4. | | LOURENCO, D.A.L.; MISZTAL, I.; WANG, H.; AGUILAR, I.; TSURUTA, S.; BERTRAND, J.K. Prediction accuracy for a simulated maternally affected trait of beef cattle using different genomic evaluation models. Journal of Animal Science, 2013, v.91, no.9, p.4090-4098. Article history: Published online July 26, 2013.
This study was partially funded by the American Angus Association (St. Joseph, MO) and the USDA Agriculture and Food Research Initiative (Grant no. 2009-65205-05665 from the USDA National...| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : A - 2 |
| Biblioteca(s): INIA Las Brujas. |
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| 5. | | LOURENCO, D. A. L.; TSURUTA, S.; FRAGOMENI, B. O.; MASUDA, Y.; AGUILAR, I.; LEGARRA, A.; BERTRAND, J. K.; AMEN, T. S.; WANG. L.; MOSER, D. W.; MISZTAL, I. Genetic evaluation using single-step genomic best linear unbiased predictor in American Angus.(*) Journal of Animal Science, 2015, v. 93, p. 2653-2662. Published June 25, 2015. OPEN ACCESS. (*) This study was partially funded by the American Angus Association (St. Joseph, MO), Zoetis (Kalamazoo, MI), and Agriculture and Food Research Initiative Competitive Grants no. 2015-67015-22936 from the U.S. Department of Agriculture?s...| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA Las Brujas. |
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| Registros recuperados : 5 | |
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