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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
21/02/2014 |
Actualizado : |
13/12/2018 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
SÁNCHEZ, J. P.; MISZTAL, I.; AGUILAR, I.; BERTRAND, J. K. |
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. |
Título : |
Genetic evaluation of growth in a multibreed beef cattle population using random regression-linear spline models. |
Fecha de publicación : |
2008 |
Fuente / Imprenta : |
Journal of Animal Science, 2008, 86 (2): 267-277. |
ISSN : |
0021-8812 |
DOI : |
10.2527/jas.2007-0064 |
Idioma : |
Inglés |
Notas : |
Article history: Received January 24, 2007. // Accepted October 2, 2007. |
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 |
Palabras claves : |
BEEF CATTLE; GROWTH; MULTIBREED; RANDOM REGRESSION MODEL; SPLINE. |
Asunto categoría : |
L01 Ganadería |
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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INIA Las Brujas (LB) |
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| Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha actual : |
15/01/2015 |
Actualizado : |
10/09/2021 |
Tipo de producción científica : |
Artículos en Revistas Agropecuarias |
Autor : |
MENDOZA, Y.; RAMALLO, G.; DÍAZ-CETTI, S.; OJEDA, P.; CARRASCO-LETELIER, L. |
Afiliación : |
YAMANDU MENDOZA SPINA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUSTAVO NOEL RAMALLO MEDINA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SEBASTIAN CARLO DIAZ CETTI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARCELA PILAR OJEDA OJEDA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LEONIDAS CARRASCO LETELIER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Factores predisponentes, pautas sanitarias y medidas de control que se deben integrar para manejar el control de la varroasis. |
Fecha de publicación : |
2009 |
Fuente / Imprenta : |
Actualidad Apícola, n. 91, p. 32-34, 2009. |
ISSN : |
0797-8227 |
Idioma : |
Español |
Palabras claves : |
MANEJO SANITARIO; PREVENCIÓN DE ENFERMEDADES; VARROOSIS. |
Thesagro : |
APICULTURA; APIS MELLIFERA; VARROA. |
Asunto categoría : |
L72 Plagas de los animales |
Marc : |
LEADER 00708naa a2200241 a 4500 001 1052034 005 2021-09-10 008 2009 bl uuuu u00u1 u #d 022 $a0797-8227 100 1 $aMENDOZA, Y. 245 $aFactores predisponentes, pautas sanitarias y medidas de control que se deben integrar para manejar el control de la varroasis. 260 $c2009 650 $aAPICULTURA 650 $aAPIS MELLIFERA 650 $aVARROA 653 $aMANEJO SANITARIO 653 $aPREVENCIÓN DE ENFERMEDADES 653 $aVARROOSIS 700 1 $aRAMALLO, G. 700 1 $aDÍAZ-CETTI, S. 700 1 $aOJEDA, P. 700 1 $aCARRASCO-LETELIER, L. 773 $tActualidad Apícola$gn. 91, p. 32-34, 2009.
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