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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
24/05/2016 |
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Actualizado : |
24/06/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
GOLDBERG, V.; RAVAGNOLO, O. |
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Afiliación : |
VIRGINIA GOLDBERG BIANCHI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; OLGA RAVAGNOLO GUMILA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Description of the growth curve for Angus pasture-fed cows under extensive systems. |
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Fecha de publicación : |
2015 |
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Fuente / Imprenta : |
Journal of Animal Science, 2015, v.93, no. 9, p. 4285-4290. |
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ISBN : |
10.2527/jas.2015-9208 |
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Idioma : |
Inglés |
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Notas : |
This work would not be possible without the support and data from the Uruguayan Aberdeen Angus Breed Society and the Rural Association of Uruguay. Appreciation is expressed to Drs. Ignacio Aguilar, Mario Lema, and Graciela Quintans from INIA for their valuables comments and suggestions.
Received April 15, 2015. / Accepted July 10, 2015 / Published September 8, 2015 |
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Contenido : |
ABSTRACT.
Growth curves are useful for describing the sigmoid shape of an animal?s weight pattern over time. The purpose of the present study was to describe, for the first time, a complete growth curve for pasture-fed Angus cows in Uruguay and to analyze the major fixed effects that affect the estimation of mature cow weight (CW). A total of 22,743 records from 5,284 cows belonging to 73 herds were used in the statistical analysis. Five nonlinear models (Brody, Gompertz, Von Bertalanffy, logistic, and Richards) and a 3-knot cubic spline function were fitted to model weight change across age. Body weights were recorded at birth, weaning, and 18 mo and as an adult (at 2.3?3.6, 3.6?4.6, 4.6 to 5.6, 5.6 to 6.6, and 6.6 to 8.1 yr). After preliminary analyses, the fixed effects included in the model to estimate CW were BCS, herd, year and month of measurement, and age of dam. The herd and BCS were the major significant sources of variation. The Richards model had the lowest values for Akaike information criterion, Bayesian information criterion, and ?2 log likelihood, with the asymptotic weight being 542 kg. The spline function was the model that fitted the data most closely to the observed weights followed by the Richards function. The Richards model gave better predictions of weights from birth to maturity than the other 4 nonlinear models, because these functions were shown to over- or underestimate weights at different ages in this beef cattle data set. The predicted curve showed that cows reach mature CW after 5 yr of age, which is the age commonly assumed as adult weight in beef cattle. Results form this analysis allowed the estimation of CW and rate of maturing and to take knowledge of the shape of growth curve for Angus females in Uruguay under extensive conditions, helping breeders to take selection decisions. In this way, breeders can optimize the management and efficiency for each production system.
© 2015 American Society of Animal Science. All rights reserved. MenosABSTRACT.
Growth curves are useful for describing the sigmoid shape of an animal?s weight pattern over time. The purpose of the present study was to describe, for the first time, a complete growth curve for pasture-fed Angus cows in Uruguay and to analyze the major fixed effects that affect the estimation of mature cow weight (CW). A total of 22,743 records from 5,284 cows belonging to 73 herds were used in the statistical analysis. Five nonlinear models (Brody, Gompertz, Von Bertalanffy, logistic, and Richards) and a 3-knot cubic spline function were fitted to model weight change across age. Body weights were recorded at birth, weaning, and 18 mo and as an adult (at 2.3?3.6, 3.6?4.6, 4.6 to 5.6, 5.6 to 6.6, and 6.6 to 8.1 yr). After preliminary analyses, the fixed effects included in the model to estimate CW were BCS, herd, year and month of measurement, and age of dam. The herd and BCS were the major significant sources of variation. The Richards model had the lowest values for Akaike information criterion, Bayesian information criterion, and ?2 log likelihood, with the asymptotic weight being 542 kg. The spline function was the model that fitted the data most closely to the observed weights followed by the Richards function. The Richards model gave better predictions of weights from birth to maturity than the other 4 nonlinear models, because these functions were shown to over- or underestimate weights at different ages in this beef cattle data set. The predicted curve s... Presentar Todo |
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Palabras claves : |
ABERDEEN ANGUS; BEEF CATTLE; GROWTH MODELS; MATURE COW WEIGHT. |
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Thesagro : |
BOVINOS PARA CARNE; MODELOS DE CRECIMIENTO. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 03004naa a2200217 a 4500
001 1054844
005 2021-06-24
008 2015 bl uuuu u00u1 u #d
100 1 $aGOLDBERG, V.
245 $aDescription of the growth curve for Angus pasture-fed cows under extensive systems.$h[electronic resource]
260 $c2015
500 $aThis work would not be possible without the support and data from the Uruguayan Aberdeen Angus Breed Society and the Rural Association of Uruguay. Appreciation is expressed to Drs. Ignacio Aguilar, Mario Lema, and Graciela Quintans from INIA for their valuables comments and suggestions. Received April 15, 2015. / Accepted July 10, 2015 / Published September 8, 2015
520 $aABSTRACT. Growth curves are useful for describing the sigmoid shape of an animal?s weight pattern over time. The purpose of the present study was to describe, for the first time, a complete growth curve for pasture-fed Angus cows in Uruguay and to analyze the major fixed effects that affect the estimation of mature cow weight (CW). A total of 22,743 records from 5,284 cows belonging to 73 herds were used in the statistical analysis. Five nonlinear models (Brody, Gompertz, Von Bertalanffy, logistic, and Richards) and a 3-knot cubic spline function were fitted to model weight change across age. Body weights were recorded at birth, weaning, and 18 mo and as an adult (at 2.3?3.6, 3.6?4.6, 4.6 to 5.6, 5.6 to 6.6, and 6.6 to 8.1 yr). After preliminary analyses, the fixed effects included in the model to estimate CW were BCS, herd, year and month of measurement, and age of dam. The herd and BCS were the major significant sources of variation. The Richards model had the lowest values for Akaike information criterion, Bayesian information criterion, and ?2 log likelihood, with the asymptotic weight being 542 kg. The spline function was the model that fitted the data most closely to the observed weights followed by the Richards function. The Richards model gave better predictions of weights from birth to maturity than the other 4 nonlinear models, because these functions were shown to over- or underestimate weights at different ages in this beef cattle data set. The predicted curve showed that cows reach mature CW after 5 yr of age, which is the age commonly assumed as adult weight in beef cattle. Results form this analysis allowed the estimation of CW and rate of maturing and to take knowledge of the shape of growth curve for Angus females in Uruguay under extensive conditions, helping breeders to take selection decisions. In this way, breeders can optimize the management and efficiency for each production system. © 2015 American Society of Animal Science. All rights reserved.
650 $aBOVINOS PARA CARNE
650 $aMODELOS DE CRECIMIENTO
653 $aABERDEEN ANGUS
653 $aBEEF CATTLE
653 $aGROWTH MODELS
653 $aMATURE COW WEIGHT
700 1 $aRAVAGNOLO, O.
773 $tJournal of Animal Science, 2015$gv.93, no. 9, p. 4285-4290.
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INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
14/06/2022 |
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Actualizado : |
14/06/2022 |
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Tipo de producción científica : |
Abstracts/Resúmenes |
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Autor : |
GARCÍA, A.; AGUILAR, I.; LEGARRA, A.; MILLER, S.; TSURUTA, S.; MISZTAL, I.; LOURENCO, D. |
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Afiliación : |
ANDRÉ GARCÍA, University of Georgia; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANDRÉS LEGARRA, UMR GenPhySE, INRA; STEPHEN P. MILLER, Angus Genetics Inc; SHOGO TSURUTA, University of Georgia; IGNACY MISZTAL, University of Georgia; DANIELA LOURENCO, University of Georgia. |
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Título : |
Accuracy of indirect predictions for large datasets based on prediction error covariance of SNP effects from single-step GBLUP. [abstract 22]. |
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Complemento del título : |
Issue Section: Animal Breeding and Genetics. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Journal of Animal Science, 2020, Volume 98, Issue Supplement 4, Pages 6-7. doi: https://doi.org/10.1093/jas/skaa278.012 |
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ISSN : |
1525-3163 |
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DOI : |
10.1093/jas/skaa278.012 |
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Idioma : |
Inglés |
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Notas : |
Article history: 30 November 2020.
ASAS Annual 2020 Meeting Abstracts. |
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Contenido : |
ABSTRACT - With an ever-increasing number of genotyped animals, there is a question of whether to include all genotypes into single-step GBLUP (ssGBLUP) evaluations or to include only genotyped animals with phenotypes and use indirect predictions (IP) for the remaining young genotyped animals. Under ssGBLUP, SNP effects can be backsolved from GEBV, and IP can be calculated as the sum of SNP effects weighted by the gene content. |
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Palabras claves : |
Interim evaluations; SNP PEC. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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Marc : |
LEADER 01308nam a2200241 a 4500
001 1063292
005 2022-06-14
008 2020 bl uuuu u01u1 u #d
022 $a1525-3163
024 7 $a10.1093/jas/skaa278.012$2DOI
100 1 $aGARCÍA, A.
245 $aAccuracy of indirect predictions for large datasets based on prediction error covariance of SNP effects from single-step GBLUP. [abstract 22].$h[electronic resource]
260 $aJournal of Animal Science, 2020, Volume 98, Issue Supplement 4, Pages 6-7. doi: https://doi.org/10.1093/jas/skaa278.012$c1093
500 $aArticle history: 30 November 2020. ASAS Annual 2020 Meeting Abstracts.
520 $aABSTRACT - With an ever-increasing number of genotyped animals, there is a question of whether to include all genotypes into single-step GBLUP (ssGBLUP) evaluations or to include only genotyped animals with phenotypes and use indirect predictions (IP) for the remaining young genotyped animals. Under ssGBLUP, SNP effects can be backsolved from GEBV, and IP can be calculated as the sum of SNP effects weighted by the gene content.
653 $aInterim evaluations
653 $aSNP PEC
700 1 $aAGUILAR, I.
700 1 $aLEGARRA, A.
700 1 $aMILLER, S.
700 1 $aTSURUTA, S.
700 1 $aMISZTAL, I.
700 1 $aLOURENCO, D.
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