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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela; INIA Tacuarembó. |
Fecha : |
14/04/2015 |
Actualizado : |
11/07/2017 |
Tipo de producción científica : |
Artículos en Revistas Agropecuarias |
Autor : |
LA MANNA, A.; ROMAN, L.; MORALES-PIÑEYRÚA, J.T.; PLÁ, M.; ACOSTA, Y. |
Afiliación : |
ALEJANDRO FRANCISCO LA MANNA ALONSO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LORENA CAROLINA ROMAN GAY, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JESSICA TATIANA MORALES PIÑEYRUA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARCELO PLA TEJERA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; YAMANDU MARTIN ACOSTA AZPIROZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Sistema de alta producción de leche de INIA La Estanzuela: la importancia del entorno animal (bienestar, sustentabilidad del ambiente e instalaciones). |
Fecha de publicación : |
2015 |
Fuente / Imprenta : |
Revista INIA Uruguay, 2015, no. 40, p. 30-33. |
ISSN : |
1510-9011 |
Idioma : |
Español |
Palabras claves : |
AUMENTOS EN EL GRADO DE USO DEL POTENCIAL ANIMAL; INCREMENTAR PRODUCCIÓN DE LECHE; INCREMENTOS EN LA CARGA ANIMAL; MANEJO ADECUADO DE LA SUPLEMENTACIÓN; MAXIMIZACIÓN DE LA PRODUCCIÓN; ROTACIÓN FORRAJERA; USO DE RESERVAS FORRAJERAS EN LA ROTACIÓN. |
Thesagro : |
PRODUCCION LECHERA. |
Asunto categoría : |
-- L01 Ganadería |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/4247/1/Revista-INIA-Uruguay-n.-40.-p.-30-33.-2015.pdf
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Marc : |
LEADER 00941naa a2200265 a 4500 001 1052435 005 2017-07-11 008 2015 bl uuuu u00u1 u #d 022 $a1510-9011 100 1 $aLA MANNA, A. 245 $aSistema de alta producción de leche de INIA La Estanzuela$bla importancia del entorno animal (bienestar, sustentabilidad del ambiente e instalaciones). 260 $c2015 650 $aPRODUCCION LECHERA 653 $aAUMENTOS EN EL GRADO DE USO DEL POTENCIAL ANIMAL 653 $aINCREMENTAR PRODUCCIÓN DE LECHE 653 $aINCREMENTOS EN LA CARGA ANIMAL 653 $aMANEJO ADECUADO DE LA SUPLEMENTACIÓN 653 $aMAXIMIZACIÓN DE LA PRODUCCIÓN 653 $aROTACIÓN FORRAJERA 653 $aUSO DE RESERVAS FORRAJERAS EN LA ROTACIÓN 700 1 $aROMAN, L. 700 1 $aMORALES-PIÑEYRÚA, J.T. 700 1 $aPLÁ, M. 700 1 $aACOSTA, Y. 773 $tRevista INIA Uruguay, 2015, no. 40, p. 30-33.
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Registro original : |
INIA La Estanzuela (LE) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
31/07/2017 |
Actualizado : |
20/02/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
LADO, B.; BATTENFIELD, S. D.; GUZMÁN, C.; QUINCKE, M.; SINGH, R. P.; DREISIGACKER, S.; PEÑA, R. J.; FRITZ, AL.; SILVA, P.; POLAND, J.; GUTIÉRREZ, L. |
Afiliación : |
BETTINA LADO, Statistics Dep., Facultad de Agronomía, Univ. de la República, Montevideo, Uruguay; SARAH D. BATTENFIELD, Kansas State University, Department of Plant Pathology, Manhattan, United States; CARLOS GUZMÁN, Centro Internacional de Mejoramiento de Maiz y Trigo, Global Wheat Program, Mexico City, Mexico; MARTIN CONRADO QUINCKE WALDEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RAVI PRAKASH SINGH, Centro Internacional de Mejoramiento de Maiz y Trigo, Global Wheat Program, Mexico City, Mexico; SUSANNE DREISIGACKER, Centro Internacional de Mejoramiento de Maiz y Trigo, Applied Biotechnology Center, Mexico City, Mexico; ROBERTO JAVIER PEÑA, Centro Internacional de Mejoramiento de Maiz y Trigo, Global Wheat Program, Mexico City, Mexico; ALLAN K. FRITZ, Kansas State University, Manhattan, United States; MARIA PAULA SILVA VILLELLA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JESSE A. POLAND, Kansas State University, Department of Plant Pathology and Department of Agronomy, Manhattan, United States; LUCÍA GUTIÉRREZ, Kansas State University, Department of Plant Pathology and Department of Agronomy, Manhattan, United States. |
Título : |
Strategies for selecting crosses using genomic prediction in two wheat breeding programs. |
Fecha de publicación : |
2017 |
Fuente / Imprenta : |
The Plant Genome, 2017, v.10, Issue 2, 12p. OPEN ACCESS |
ISSN : |
1940-3372 |
DOI : |
10.3835/plantgenome2016.12.0128 |
Idioma : |
Inglés |
Notas : |
Article history: Received: Dec 14, 2016 // Accepted: Mar 18, 2017 // Published: July 6, 2017.
B. Lado and S. Battenfield contributed equally.Assigned to Associate Editor Nicholas Tinker.
This is an open access article distributed under the CC BY-NC-ND license. |
Contenido : |
ABSTRACT.
The single most important decision in plant breeding programs is the selection of appropriate crosses. The ideal cross would provide superior predicted progeny performance and enough diversity to maintain genetic gain. The aim of this study was to compare the best crosses predicted using combinations of mid-parent value and variance prediction accounting for linkage disequilibrium (VLD) or assuming linkage equilibrium (VLE). After predicting the mean and the variance of each cross, we selected crosses based on mid-parent value, the top 10% of the progeny, and weighted mean and variance within progenies for grain yield, grain protein content, mixing time, and loaf volume in two applied wheat (Triticum aestivum L.) breeding programs: Instituto Nacional de Investigación Agropecuaria (INIA) Uruguay and CIMMYT Mexico. Although the variance of the progeny is important to increase the chances of finding superior individuals from transgressive segregation, we observed that the mid-parent values of the crosses drove the genetic gain but the variance of the progeny had a small impact on genetic gain for grain yield. However, the relative importance of the variance of the progeny was larger for quality traits. Overall, the genomic resources and the statistical models are now available to plant breeders to predict both the performance of breeding lines per se as well as the value of progeny from any potential crosses.
© Crop Science Society of America |
Palabras claves : |
GENOMIC SELECTION; WHEAT; WHEAT BREEDING PROGRAMS. |
Thesagro : |
TRIGO. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/12466/1/tpg-10-2-plantgenome2016.12.0128.pdf
https://dl.sciencesocieties.org/publications/tpg/articles/10/2/plantgenome2016.12.0128
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Marc : |
LEADER 02631naa a2200325 a 4500 001 1057423 005 2019-02-20 008 2017 bl uuuu u00u1 u #d 022 $a1940-3372 024 7 $a10.3835/plantgenome2016.12.0128$2DOI 100 1 $aLADO, B. 245 $aStrategies for selecting crosses using genomic prediction in two wheat breeding programs.$h[electronic resource] 260 $c2017 500 $aArticle history: Received: Dec 14, 2016 // Accepted: Mar 18, 2017 // Published: July 6, 2017. B. Lado and S. Battenfield contributed equally.Assigned to Associate Editor Nicholas Tinker. This is an open access article distributed under the CC BY-NC-ND license. 520 $aABSTRACT. The single most important decision in plant breeding programs is the selection of appropriate crosses. The ideal cross would provide superior predicted progeny performance and enough diversity to maintain genetic gain. The aim of this study was to compare the best crosses predicted using combinations of mid-parent value and variance prediction accounting for linkage disequilibrium (VLD) or assuming linkage equilibrium (VLE). After predicting the mean and the variance of each cross, we selected crosses based on mid-parent value, the top 10% of the progeny, and weighted mean and variance within progenies for grain yield, grain protein content, mixing time, and loaf volume in two applied wheat (Triticum aestivum L.) breeding programs: Instituto Nacional de Investigación Agropecuaria (INIA) Uruguay and CIMMYT Mexico. Although the variance of the progeny is important to increase the chances of finding superior individuals from transgressive segregation, we observed that the mid-parent values of the crosses drove the genetic gain but the variance of the progeny had a small impact on genetic gain for grain yield. However, the relative importance of the variance of the progeny was larger for quality traits. Overall, the genomic resources and the statistical models are now available to plant breeders to predict both the performance of breeding lines per se as well as the value of progeny from any potential crosses. © Crop Science Society of America 650 $aTRIGO 653 $aGENOMIC SELECTION 653 $aWHEAT 653 $aWHEAT BREEDING PROGRAMS 700 1 $aBATTENFIELD, S. D. 700 1 $aGUZMÁN, C. 700 1 $aQUINCKE, M. 700 1 $aSINGH, R. P. 700 1 $aDREISIGACKER, S. 700 1 $aPEÑA, R. J. 700 1 $aFRITZ, AL. 700 1 $aSILVA, P. 700 1 $aPOLAND, J. 700 1 $aGUTIÉRREZ, L. 773 $tThe Plant Genome, 2017$gv.10, Issue 2, 12p. OPEN ACCESS
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