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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
27/09/2019 |
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Actualizado : |
30/09/2019 |
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Tipo de producción científica : |
Artículos en Revistas Agropecuarias |
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Autor : |
SARAVIA, H.; LAPETINA, J. |
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Afiliación : |
HORACIO SARAVIA DIAZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOAQUIN LAPETINA ACERENZA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Jornada arroz 2019. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Revista INIA Uruguay, 2019, no. 58, p. 85-86. |
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Serie : |
(Revista INIA; 58) |
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Idioma : |
Español |
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Contenido : |
Comentarios de la jornada de arroz 2019. |
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Palabras claves : |
ARROZ. |
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Thesagro : |
ARROZ. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/13352/1/Revista-INIA-58-Setiembre-2019-p.85-86.pdf
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Marc : |
LEADER 00457naa a2200169 a 4500
001 1060232
005 2019-09-30
008 2019 bl uuuu u00u1 u #d
100 1 $aSARAVIA, H.
245 $aJornada arroz 2019.$h[electronic resource]
260 $c2019
490 $a(Revista INIA; 58)
520 $aComentarios de la jornada de arroz 2019.
650 $aARROZ
653 $aARROZ
700 1 $aLAPETINA, J.
773 $tRevista INIA Uruguay, 2019, no. 58, p. 85-86.
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Registro original : |
INIA Treinta y Tres (TT) |
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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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