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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
24/05/2016 |
Actualizado : |
24/06/2021 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
GOLDBERG, V.; RAVAGNOLO, O. |
Afiliación : |
VIRGINIA GOLDBERG BIANCHI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; OLGA RAVAGNOLO GUMILA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Description of the growth curve for Angus pasture-fed cows under extensive systems. |
Fecha de publicación : |
2015 |
Fuente / Imprenta : |
Journal of Animal Science, 2015, v.93, no. 9, p. 4285-4290. |
ISBN : |
10.2527/jas.2015-9208 |
Idioma : |
Inglés |
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 |
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 |
Palabras claves : |
ABERDEEN ANGUS; BEEF CATTLE; GROWTH MODELS; MATURE COW WEIGHT. |
Thesagro : |
BOVINOS PARA CARNE; MODELOS DE CRECIMIENTO. |
Asunto categoría : |
-- |
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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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
21/02/2014 |
Actualizado : |
19/06/2018 |
Tipo de producción científica : |
Documentos |
Autor : |
RODRÍGUEZ, G.; VICENTE, E.; REGGIO, A.; VILARÓ, F. |
Afiliación : |
GUSTAVO ROBERTO RODRÍGUEZ LAGOUTTE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS ESTEBAN VICENTE CASTRO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ADRIANA MARIA REGGIO BIGANZOLI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FRANCISCO LUIS VILARO PAREJA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Avances en la selección de cebolla LB 04. |
Complemento del título : |
Jornada de divulgación, INIA Las Brujas, 9 abril 2014. |
Fecha de publicación : |
2014 |
Fuente / Imprenta : |
In: INIA Las Brujas, Programa Nacional Producción Hortícola; Universidad de la República (UdelaR)/Facultad de Agronomía-Centro Regional Sur (CRS). Presentación de resultados experimentales sobre el cultivo de cebolla. Canelones (UY): INIA, 2014. |
Páginas : |
p. 92-97 |
Serie : |
(INIA Serie Actividades de Difusión; 733) |
ISSN : |
1688-9258 |
Idioma : |
Español |
Contenido : |
La línea LB04 proviene del cruzamiento entre los cultivares Naqué y Rojo Duro F1 (día largo), realizado en el año 2005 en INIA Las Brujas, con el objetivo de incorporar algunos
caracteres no presentes en el cultivar Naqué, buscando mejorar la calidad comercial incrementando el número y el color rojo de las catáfilas y la vida poscosecha. |
Thesagro : |
CEBOLLA; VARIEDADES. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/10382/1/SAD-733-p.-92-97.pdf
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Marc : |
LEADER 01107naa a2200217 a 4500 001 1012109 005 2018-06-19 008 2014 bl uuuu u00u1 u #d 022 $a1688-9258 100 1 $aRODRÍGUEZ, G. 245 $aAvances en la selección de cebolla LB 04. 260 $c2014 300 $ap. 92-97 490 $a(INIA Serie Actividades de Difusión; 733) 520 $aLa línea LB04 proviene del cruzamiento entre los cultivares Naqué y Rojo Duro F1 (día largo), realizado en el año 2005 en INIA Las Brujas, con el objetivo de incorporar algunos caracteres no presentes en el cultivar Naqué, buscando mejorar la calidad comercial incrementando el número y el color rojo de las catáfilas y la vida poscosecha. 650 $aCEBOLLA 650 $aVARIEDADES 700 1 $aVICENTE, E. 700 1 $aREGGIO, A. 700 1 $aVILARÓ, F. 773 $tIn: INIA Las Brujas, Programa Nacional Producción Hortícola; Universidad de la República (UdelaR)/Facultad de Agronomía-Centro Regional Sur (CRS). Presentación de resultados experimentales sobre el cultivo de cebolla. Canelones (UY): INIA, 2014.
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