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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
02/10/2017 |
Actualizado : |
02/10/2017 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
FRIONI, N.; ROVERE, G.; AGUILAR, I.; URIOSTE, J. |
Afiliación : |
NICOLÁS FRIONI, Universidad de la República (UdelaR)/ Facultad de Agronomía (UY); Animal Breeding and Genetics Group, Department of Animal Sciences, Georg-August-University (DE); GABRIEL ROVERE, Universidad de la República (UdelaR)/ Facultad de Agronomía (UY); Department of Molecular Biology and Genetics, Centre for Quantitative Genetics and Genomics, Aarhus University (DK); IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JORGE I. URIOSTE, Universidad de la República (UdelaR)/ Facultad de Agronomía (UY). |
Título : |
Genetic parameters and correlations between days open and production traits across lactations in pasture based dairy production systems. |
Fecha de publicación : |
2017 |
Fuente / Imprenta : |
Livestock Science, 2017, 204:104-109. |
ISSN : |
1871-1413 |
DOI : |
10.1016/j.livsci.2017.08.018 |
Idioma : |
Inglés |
Notas : |
Article history: Received 14 November 2016; Received in revised form 20 June 2017; Accepted 23 August 2017. |
Contenido : |
ABSTRACT.
The aim of this study was to estimate the additive genetic correlations, heritabilities and repeatabilities of days open (DO), milk (MY), fat (FY) and protein yields (PY), using data from pasture based dairy systems of Uruguay, and to explore whether DO should be interpreted as a different trait across lactations or as a trait with repeated measures. The database contained 500, 412 and 294 thousand records of first, second and third lactation, respectively. Cows were offspring of 7747 sires. Fertility records lower and upper limits were 42 and 250 days, respectively. In a first approach (Mdiff) we estimated variance components and covariances over lactations, assuming that the traits were different at each lactation. In a second approach (Mrep) estimations were carried out considering each trait as a repeated measure along lactations. In Mdiff, DO with a production trait was analyzed considering each lactation as a different trait. Three six-variate linear models were analyzed (DO-MY, DO-FY, DO-PY, and lactations first to third). In the Mrep procedure, DO, MY, FY and PY were analyzed together with a multiple trait repeatability model. For all models, the fixed effects were herd-year-season and lactationage classes. Animal and the permanent environment effect were included as random effects. The additive genetic correlations between DO and yield traits by Mdiff were between +0.39 and +0.78; by Mrep, they ranged from +0.44 to +0.55. Heritabilities of DO by Mdiff were between 0.04 and 0.06 and 0.05 by Mrep. The additive genetic correlations of DO between lactations ranged from +0.76 to +0.91. Heritabilities of MY, FY and PY were 0.23, 0.21 and 0.21, respectively. Repeatabilities obtained were 0.10, 0.49, 0.47 and 0.49 for DO, MY, FY and PY, respectively. We concluded that the heritability of DO was low but enough to consider the trait in selection programs. We confirmed unfavorable additive genetic correlations between DO and yield traits for the Uruguayan pasture systems, which supports the importance of considering fertility in selection programs to reduce or avoid a decline in reproduction. The additive genetic correlations of DO between lactations were high, suggesting that a plausible model should consider DO records of a given animal as repeated measures.
© 2017 Elsevier B.V. All rights reserved. MenosABSTRACT.
The aim of this study was to estimate the additive genetic correlations, heritabilities and repeatabilities of days open (DO), milk (MY), fat (FY) and protein yields (PY), using data from pasture based dairy systems of Uruguay, and to explore whether DO should be interpreted as a different trait across lactations or as a trait with repeated measures. The database contained 500, 412 and 294 thousand records of first, second and third lactation, respectively. Cows were offspring of 7747 sires. Fertility records lower and upper limits were 42 and 250 days, respectively. In a first approach (Mdiff) we estimated variance components and covariances over lactations, assuming that the traits were different at each lactation. In a second approach (Mrep) estimations were carried out considering each trait as a repeated measure along lactations. In Mdiff, DO with a production trait was analyzed considering each lactation as a different trait. Three six-variate linear models were analyzed (DO-MY, DO-FY, DO-PY, and lactations first to third). In the Mrep procedure, DO, MY, FY and PY were analyzed together with a multiple trait repeatability model. For all models, the fixed effects were herd-year-season and lactationage classes. Animal and the permanent environment effect were included as random effects. The additive genetic correlations between DO and yield traits by Mdiff were between +0.39 and +0.78; by Mrep, they ranged from +0.44 to +0.55. Heritabilities of DO by Mdiff were... Presentar Todo |
Palabras claves : |
DAIRY PRODUCTION; GENETIC CORRELATION; HERITABILITY; HOLSTEIN; REPRODUCTIVE PERFORMANCE. |
Thesagro : |
GANADO LECHERO; RENDIMIENTO LECHERO. |
Asunto categoría : |
-- |
Marc : |
LEADER 03282naa a2200277 a 4500 001 1057620 005 2017-10-02 008 2017 bl uuuu u00u1 u #d 022 $a1871-1413 024 7 $a10.1016/j.livsci.2017.08.018$2DOI 100 1 $aFRIONI, N. 245 $aGenetic parameters and correlations between days open and production traits across lactations in pasture based dairy production systems.$h[electronic resource] 260 $c2017 500 $aArticle history: Received 14 November 2016; Received in revised form 20 June 2017; Accepted 23 August 2017. 520 $aABSTRACT. The aim of this study was to estimate the additive genetic correlations, heritabilities and repeatabilities of days open (DO), milk (MY), fat (FY) and protein yields (PY), using data from pasture based dairy systems of Uruguay, and to explore whether DO should be interpreted as a different trait across lactations or as a trait with repeated measures. The database contained 500, 412 and 294 thousand records of first, second and third lactation, respectively. Cows were offspring of 7747 sires. Fertility records lower and upper limits were 42 and 250 days, respectively. In a first approach (Mdiff) we estimated variance components and covariances over lactations, assuming that the traits were different at each lactation. In a second approach (Mrep) estimations were carried out considering each trait as a repeated measure along lactations. In Mdiff, DO with a production trait was analyzed considering each lactation as a different trait. Three six-variate linear models were analyzed (DO-MY, DO-FY, DO-PY, and lactations first to third). In the Mrep procedure, DO, MY, FY and PY were analyzed together with a multiple trait repeatability model. For all models, the fixed effects were herd-year-season and lactationage classes. Animal and the permanent environment effect were included as random effects. The additive genetic correlations between DO and yield traits by Mdiff were between +0.39 and +0.78; by Mrep, they ranged from +0.44 to +0.55. Heritabilities of DO by Mdiff were between 0.04 and 0.06 and 0.05 by Mrep. The additive genetic correlations of DO between lactations ranged from +0.76 to +0.91. Heritabilities of MY, FY and PY were 0.23, 0.21 and 0.21, respectively. Repeatabilities obtained were 0.10, 0.49, 0.47 and 0.49 for DO, MY, FY and PY, respectively. We concluded that the heritability of DO was low but enough to consider the trait in selection programs. We confirmed unfavorable additive genetic correlations between DO and yield traits for the Uruguayan pasture systems, which supports the importance of considering fertility in selection programs to reduce or avoid a decline in reproduction. The additive genetic correlations of DO between lactations were high, suggesting that a plausible model should consider DO records of a given animal as repeated measures. © 2017 Elsevier B.V. All rights reserved. 650 $aGANADO LECHERO 650 $aRENDIMIENTO LECHERO 653 $aDAIRY PRODUCTION 653 $aGENETIC CORRELATION 653 $aHERITABILITY 653 $aHOLSTEIN 653 $aREPRODUCTIVE PERFORMANCE 700 1 $aROVERE, G. 700 1 $aAGUILAR, I. 700 1 $aURIOSTE, J. 773 $tLivestock Science, 2017, 204:104-109.
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INIA Las Brujas (LB) |
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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha actual : |
21/02/2014 |
Actualizado : |
18/06/2018 |
Tipo de producción científica : |
Actividades de Difusión |
Autor : |
INIA TREINTA Y TRES.; PROGRAMA NACIONAL PRODUCCIÓN DE ARROZ. |
Afiliación : |
PROGRAMA NACIONAL DE INVESTIGACIÓN PRODUCCIÓN DE ARROZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Arroz: resultados experimentales 2000-2001. |
Complemento del título : |
Jornada Anual de Arroz, 2001, INIA Treinta y Tres, Treinta y Tres, UY. |
Fecha de publicación : |
2001 |
Fuente / Imprenta : |
Treinta y Tres, (Uruguay): INIA, 2001. |
Páginas : |
204 p. |
Serie : |
(INIA Serie Actividades de Difusión; 257). |
Idioma : |
Español |
Palabras claves : |
BIOCLIMÁTICO; CONTROL QUIMICO DE ENFERMEDADES; ENFERMEDADES DEL TALLO; LABOREO REDUCIDO; PRODUCCION DE SEMILLAS. |
Thesagro : |
AGROCLIMATOLOGIA; ARROZ; ARROZ ROJO; CONTROL DE CAPIN; CONTROL DE MALEZAS; ECOFISIOLOGIA DEL CULTIVO; EL PASO 144; EVALUACION DE CULTIVARES; FERTILIZACION NITROGENADA; FITOMEJORAMIENTO; HERBICIDAS; INIA CARAGUATÁ; INIA TACUARÍ; INIA ZAPATA; PYRICULARIA GRISEA; PYRICULARIA ORYZAE; RHIZOCTONIA ORYZAE SATIVAE; RIEGO; SCLEROTIUM ORYZAE. |
Asunto categoría : |
F01 Cultivo |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/10348/1/Ad-257.pdf
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Marc : |
LEADER 01223nam a2200421 a 4500 001 1030265 005 2018-06-18 008 2001 bl uuuu u00u1 u #d 100 1 $aINIA TREINTA Y TRES. 245 $aArroz$bresultados experimentales 2000-2001. 260 $aTreinta y Tres, (Uruguay): INIA$c2001 300 $a204 p. 490 $a(INIA Serie Actividades de Difusión; 257). 650 $aAGROCLIMATOLOGIA 650 $aARROZ 650 $aARROZ ROJO 650 $aCONTROL DE CAPIN 650 $aCONTROL DE MALEZAS 650 $aECOFISIOLOGIA DEL CULTIVO 650 $aEL PASO 144 650 $aEVALUACION DE CULTIVARES 650 $aFERTILIZACION NITROGENADA 650 $aFITOMEJORAMIENTO 650 $aHERBICIDAS 650 $aINIA CARAGUATÁ 650 $aINIA TACUARÍ 650 $aINIA ZAPATA 650 $aPYRICULARIA GRISEA 650 $aPYRICULARIA ORYZAE 650 $aRHIZOCTONIA ORYZAE SATIVAE 650 $aRIEGO 650 $aSCLEROTIUM ORYZAE 653 $aBIOCLIMÁTICO 653 $aCONTROL QUIMICO DE ENFERMEDADES 653 $aENFERMEDADES DEL TALLO 653 $aLABOREO REDUCIDO 653 $aPRODUCCION DE SEMILLAS 700 1 $aPROGRAMA NACIONAL PRODUCCIÓN DE ARROZ.
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