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| Registros recuperados : 18 | |
| 9. |  | FRIONI, N.; URIOSTE, J.I.; AGUILAR, I.; ROVERE, G. Genetic parameters of days open, milk, fat and protein yield of uruguayan Holstein on pasture systems. GMA 8 - COMUNICACIONES LIBRES - GMA. GENÉTICA Y MEJORAMIENTO ANIMAL In: JOURNAL OF BASIC & APPLIED GENETICS, 2016, Vol.27, Iss. 1 (Supp.). XVI LATIN AMERICAN CONGRESS OF GENETICS, IV CONGRESS OF THE URUGUAYAN SOCIETY OF GENETICS, XLIX ANNUAL MEETING OF THE GENETICS SOCIETY OF CHILE, XLV ARGENTINE CONGRESS OF GENETICS, 9-12 October 2016. PROCEEDINGS. Montevideo (Uruguay): SAG, 2016. p. 190| Biblioteca(s): INIA Las Brujas. |
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| 17. | | Aguilar, F.Urioste, J.Klett, L.Ravagnolo, O.Rovere, G.Sotelo, F.Gortari, M.Dighiero, M.Gurgitano, J. Evaluación genética nacional Raza Holando 2011: Producción de leche, grasa y porteina, características de tipo Montevideo (UY): ARU; INML; UDELAR-FAGRO; INIA; Sociedad Criadores Holando, 2011. 74 p.| Biblioteca(s): INIA Tacuarembó. |
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| 18. | | MEIKLE, A.; CAVESTANY, D.; CARRIQUIRY, M.; ADRIEN, M.L.; RUPRECHTER, G.; ROVERE, G.; PEÑAGARICANO, F.; MENDOZA, A.; PEREIRA, I.; MATTIAUDA, D.; CHILIBROSTE, P. Endocrinología metabólica en la vaca lechera durante el período de transición y su relación con el reinicio de la ciclicidad ovárica. Agrociencia (Uruguay), v. 14, n, 3, p. 89-95, 2010. Agrociencia, Nro especial: Congreso Asociación Uruguaya de Producción Animal, 3., 4-5 Noviembre 2010, Montevideo, UY: INIA, Facultad de Agronomía, SMVU.| Biblioteca(s): INIA La Estanzuela. |
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| Registros recuperados : 18 | |
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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 actual : |
02/10/2017 |
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Actualizado : |
02/10/2017 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
FRIONI, N.; ROVERE, G.; AGUILAR, I.; URIOSTE, J. |
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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). |
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Título : |
Genetic parameters and correlations between days open and production traits across lactations in pasture based dairy production systems. |
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Fecha de publicación : |
2017 |
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Fuente / Imprenta : |
Livestock Science, 2017, 204:104-109. |
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ISSN : |
1871-1413 |
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DOI : |
10.1016/j.livsci.2017.08.018 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 14 November 2016; Received in revised form 20 June 2017; Accepted 23 August 2017. |
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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 |
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Palabras claves : |
DAIRY PRODUCTION; GENETIC CORRELATION; HERITABILITY; HOLSTEIN; REPRODUCTIVE PERFORMANCE. |
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Thesagro : |
GANADO LECHERO; RENDIMIENTO LECHERO. |
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Asunto categoría : |
-- |
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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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