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| Registros recuperados : 18 | |
| 3. |  | URIOSTE, J.I. Selección y reproducción en bovinos de carne Capítulo 1: Genética y reproducción. In: QUINTANS, G.; VELAZCO, J.I.; ROIG, G. (Eds.). Seminario de actualización técnica: cría vacuna. Montevideo (Uruguay): INIA, 2008. p. 11-24 (INIA Serie Técnica ; 174)| Biblioteca(s): INIA Las Brujas; INIA Tacuarembó; INIA Treinta y Tres. |
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| 12. | | 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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| 14. | | URIOSTE, J.I.; GIANONI, C.; LA BUONORA, D.; DARTAYETE, M. Ventajas y limitaciones en la aplicación de un modelo animal en la evaluación genética de una cabaña de ovinos Ideal. ln: CONGRESO MUNDIAL ,4.; [CONGRESO] Sudamericano de la razas Polwarth-Ideal, 3., 1999, Montevideo, Uruguay. Montevideo (Uruguay): Sociedad Criadores de Ideal del Uruguay, 1999. p. 59-72.| Biblioteca(s): INIA La Estanzuela; INIA Treinta y Tres. |
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| 17. | | URIOSTE, J.I.; PRAVIA, M.I.; ALVEZ, G.; NAYA, H.; SPANGENBERG, L.; RAVAGNOLO, O.; LEMA, O.M. OS, software para el estudio de objetivos de selección en ganado de carne.[Presentación oral]. In: Seminario de Actualización Técnica. Mejoramiento genético animal en bovinos para carne, 7 agosto, Tacuarembó. Tacuarembó: INIA, 2015.| Biblioteca(s): INIA Treinta y Tres. |
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| 18. | | URIOSTE, J.I.; PRAVIA, M.I.; ALVEZ, G.; NAYA, H.; SPANGENBERG, L.; RAVAGNOLO, O.; SOARES DE LIMA, J.M.; LEMA, O.M. OS, un software para estimación de objetivos de selección en ganado de carne. [Resumen] G3 - Trabajos cortos: Genética. In: Congreso Asociación Uruguaya de Producción Animal (AUPA) (5º, 3-4 Dic. 2014, Montevideo, UY). 2 p.| Biblioteca(s): INIA Las Brujas. |
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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 : |
09/09/2014 |
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Actualizado : |
15/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 2 |
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Autor : |
PRAVIA, M.; RAVAGNOLO, O.; URIOSTE, J.I.; GARRICK, D.J. |
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Afiliación : |
MARIA ISABEL PRAVIA NIN, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay; OLGA RAVAGNOLO GUMILA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
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Título : |
Identification of breeding objectives using a bioeconomic model for a beef cattle production system in Uruguay. |
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Fecha de publicación : |
2014 |
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Fuente / Imprenta : |
Livestock Science, 2014, v.160, no.1, p.21-28. |
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Volumen : |
160 (1) |
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ISSN : |
1871-1413 |
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DOI : |
10.1016/j.livsci.2013.12.006 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 6 December 2012 // Received in revised form // 3 December 2013 // Accepted 7 December 2013. |
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Contenido : |
ABSTRACT.
The aims of this study were to establish the breeding objective for a typical Uruguayan beef cattle production system, identifying the main economically relevant traits, estimating their economic values (EVs) and relative importance in the breeding objective. The bioeconomic model included performance (weights, daily gains, mortality, pregnancy and replacement rates), and economic (sale, feed and health prices) parameters. The herd was a cow?calf operation of 100 Hereford cows with a finishing component, which annually sells steers, non-pregnant cows and surplus replacement heifers. Feed requirements were calculated for pasture grazing animals based on the factorial approach to calculate energy requirements for maintenance and growth for young animals, and maintenance, gestation and lactation for cows. Increases in requirements caused by changes in the system were supplied through purchased feed. Economic profit was simulated as total revenues less total costs. Biological traits affecting profit were identified as economically relevant trait. The EV of a trait was calculated by simulation as difference in farm profits at the average trait level and after incrementing the trait level by one unit keeping other evaluated traits constant. EVs are expressed per 100 meted cows, and were adjusted using the discounted gene flow method, to account for frequency and timing of trait expressions. Calving rate had an EV of US$96.0, followed by Carcass Weight ($21.4 for heifers and $2.5 for cows), Calving Ease (US$ 20.4), Dry Matter intake (?$0.7 for steers, ?0.5 for heifers and ?0.7 for cows), Weaning Weight direct (?$1.1) and Weaning Weight maternal (?$3.8). EV was expressed as the income obtained in this production system per 100 mated cows. When EVs were expressed per additive genetic standard deviation, reproductive traits were three times more important than growth and feed intake traits. Some of the most important traits do not currently have an Expected Progeny Differences, to allow selection, so efforts should be placed to generate that information.
© 2014 Elsevier B.V. MenosABSTRACT.
The aims of this study were to establish the breeding objective for a typical Uruguayan beef cattle production system, identifying the main economically relevant traits, estimating their economic values (EVs) and relative importance in the breeding objective. The bioeconomic model included performance (weights, daily gains, mortality, pregnancy and replacement rates), and economic (sale, feed and health prices) parameters. The herd was a cow?calf operation of 100 Hereford cows with a finishing component, which annually sells steers, non-pregnant cows and surplus replacement heifers. Feed requirements were calculated for pasture grazing animals based on the factorial approach to calculate energy requirements for maintenance and growth for young animals, and maintenance, gestation and lactation for cows. Increases in requirements caused by changes in the system were supplied through purchased feed. Economic profit was simulated as total revenues less total costs. Biological traits affecting profit were identified as economically relevant trait. The EV of a trait was calculated by simulation as difference in farm profits at the average trait level and after incrementing the trait level by one unit keeping other evaluated traits constant. EVs are expressed per 100 meted cows, and were adjusted using the discounted gene flow method, to account for frequency and timing of trait expressions. Calving rate had an EV of US$96.0, followed by Carcass Weight ($21.4 for heifers... Presentar Todo |
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Palabras claves : |
BEEF CATTLE; BREEDING OBJECTIVES; ECONOMICAL RELEVANT TRAITS. |
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Thesagro : |
GANADO VACUNO; MEJORAMIENTO GENÉTICO ANIMAL. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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Marc : |
LEADER 03046naa a2200277 a 4500
001 1050085
005 2019-10-15
008 2014 bl uuuu u00u1 u #d
022 $a1871-1413
024 7 $a10.1016/j.livsci.2013.12.006$2DOI
100 1 $aPRAVIA, M.
245 $aIdentification of breeding objectives using a bioeconomic model for a beef cattle production system in Uruguay.$h[electronic resource]
260 $c2014
300 $a160 (1)
490 $v160 (1)
500 $aArticle history: Received 6 December 2012 // Received in revised form // 3 December 2013 // Accepted 7 December 2013.
520 $aABSTRACT. The aims of this study were to establish the breeding objective for a typical Uruguayan beef cattle production system, identifying the main economically relevant traits, estimating their economic values (EVs) and relative importance in the breeding objective. The bioeconomic model included performance (weights, daily gains, mortality, pregnancy and replacement rates), and economic (sale, feed and health prices) parameters. The herd was a cow?calf operation of 100 Hereford cows with a finishing component, which annually sells steers, non-pregnant cows and surplus replacement heifers. Feed requirements were calculated for pasture grazing animals based on the factorial approach to calculate energy requirements for maintenance and growth for young animals, and maintenance, gestation and lactation for cows. Increases in requirements caused by changes in the system were supplied through purchased feed. Economic profit was simulated as total revenues less total costs. Biological traits affecting profit were identified as economically relevant trait. The EV of a trait was calculated by simulation as difference in farm profits at the average trait level and after incrementing the trait level by one unit keeping other evaluated traits constant. EVs are expressed per 100 meted cows, and were adjusted using the discounted gene flow method, to account for frequency and timing of trait expressions. Calving rate had an EV of US$96.0, followed by Carcass Weight ($21.4 for heifers and $2.5 for cows), Calving Ease (US$ 20.4), Dry Matter intake (?$0.7 for steers, ?0.5 for heifers and ?0.7 for cows), Weaning Weight direct (?$1.1) and Weaning Weight maternal (?$3.8). EV was expressed as the income obtained in this production system per 100 mated cows. When EVs were expressed per additive genetic standard deviation, reproductive traits were three times more important than growth and feed intake traits. Some of the most important traits do not currently have an Expected Progeny Differences, to allow selection, so efforts should be placed to generate that information. © 2014 Elsevier B.V.
650 $aGANADO VACUNO
650 $aMEJORAMIENTO GENÉTICO ANIMAL
653 $aBEEF CATTLE
653 $aBREEDING OBJECTIVES
653 $aECONOMICAL RELEVANT TRAITS
700 1 $aRAVAGNOLO, O.
700 1 $aURIOSTE, J.I.
700 1 $aGARRICK, D.J.
773 $tLivestock Science, 2014$gv.160, no.1, p.21-28.
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