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| Registros recuperados : 13 | |
| 2. |  | PEÑA, R.; FARIÑA, S.; PLA, M.; LA MANNA, A. Efecto del estrés calórico en vacas Holstein bajo un sistema de ordeñe pastoril voluntario (Robot): 2 Comportamiento Animal. In: AUPA, Proceedings del VII Congreso Uruguayo de Producción Animal. Sección Cambio Climático y Producción Sostenible (Climate Change Section), 14 y 15 diciembre 2021. Archivos Latinoamericanos de Producción Animal, 29(Supl.1), p.67-68. (Archivos Latinoamericanos de Producción Animal, Vol.29, Supl.1) Corresponding author: R. Peña, INIA La Estanzuela, Ruta 50 Km. 11 (Uruguay), mailto:rpena@inia.org.uy| Biblioteca(s): INIA Las Brujas. |
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| 3. | | PEÑA, R.; FARIÑA, S.; PLA, M.; LA MANNA, A. Efecto del estrés calórico en vacas Holstein bajo un sistema de ordeñe voluntario (Robot) pastoril: 1.Desempeño Productivo. In: AUPA, Proceedings del VII Congreso Uruguayo de Producción Animal. Sección Cambio Climático y Producción Sostenible (Climate Change Section), 14 y 15 diciembre 2021. Archivos Latinoamericanos de Producción Animal, 29(Supl.1), p.65-66. (Archivos Latinoamericanos de Producción Animal, Vol.29, Supl.1) Corresponding author: R. Peña, INIA La Estanzuela, Ruta 50 Km. 11 (Uruguay), mailto:rpena@inia.org.uy| Biblioteca(s): INIA Las Brujas. |
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| 6. | | Martínez Giner, M.; Pena, R.N.; Casellas, J.; Balcells, I.; Fernández, A.; Noguera, J.L. Estudio de expresión diferencial de genes y distribución de la vinculina en ovario de cerdas ITEA, 2008, v. 104, no. 2, p. 89-93| Biblioteca(s): INIA Tacuarembó. |
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| 8. | | JOHANSSON, E.; BRANLARD, G.; CUNIBERTI, M.; FLAGELLA, Z.; HÜSKEN, A.; NURIT, E.; PEÑA, R.J.; SISSONS, M.; VÁZQUEZ, D. Genotypic and Environmental Effects on Wheat Technological and Nutritional Quality. In: Igrejas G., Ikeda T., Guzmán C. (eds). Wheat Quality For Improving Processing And Human Health. Cham:Springer. Doi: https://doi.org/10.1007/978-3-030-34163-3_8 p. 171-204. Article histotory: First Online: 18 March 2020.| Biblioteca(s): INIA La Estanzuela. |
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| 9. | | De Luna de la Peña, R.; Guerra Iglesias, D.; González Peña, D.; Espinoza Villavicencio, J.L.; Palacios Espinosa, A.; Núñez Domínguez, R. Componentes de (co)varianza de caracteres reproductivos y su relación genética con el peso al destete en el ganado Cebú de Cuba Técnica Pecuaria en México, 2008, v. 46, no. 3, p. 225-234| Biblioteca(s): INIA Tacuarembó. |
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| 10. | | VÁZQUEZ, D.; CUNIBERTI, M.; BAINOTTI, C.; MIRANDA, M. Z. DE; SCHEEREN, P. L.; JOBET, C.; CABRERA, G.; KOHLI, M. M.; VERGES, R.; PEÑA, R. J. Grain quality of latin american wheat cultivars: current development and future perspectives. In: CONFERENCIA LATINOAMERICANA CEREALES, 2., 2011, Santiago, Chile. "Key for cereal chain innovation": event guide. Santiago: ICC: Granotec, 2011. p. 100., 2011| Biblioteca(s): INIA La Estanzuela. |
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| 11. | | VÁZQUEZ, D.; BERGER, A.; CUNIBERTI, M.; BAINOTTI, C.; MIRANDA, M. Z. de; SCHEEREN, P. L.; JOBET, C.; PEÑA, R. J.; CABRERA, G.; VERGES, R. Genotype and environment effects on quality of 23 wheat genotypes cultivated in 20 Latin American environments. In: INTERNATIONAL WHEAT CONFERENCE, 8., 2010, St. Petersburg, RU. Abstracts...: wheat genetics and breeding for grain quality; oral presentations. St. Petersburg: VIR, 2010. p. 493-494.| Biblioteca(s): INIA La Estanzuela. |
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| 12. | | VÁZQUEZ, D.; BERGER, A.G.; CUNIBERTI , M.; BAINOTTI , C.; ZAVARIZ DE MIRANDA , M.; SCHEEREN , P.L.; JOBET, C.; ZÚÑIGA, J.; CABRERA, G.; VERGES, R.; PEÑA, R.J Influence of cultivar and environment on quality of Latin American wheats. Journal of cereal science , v. 56, n.2, p. 196-203, 2012. Article history: Received 15 August 2011 / Received in revised form / 20 March 2012 / Accepted 27 March 2012.| Biblioteca(s): INIA La Estanzuela. |
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| 13. | | 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. Strategies for selecting crosses using genomic prediction in two wheat breeding programs. The Plant Genome, 2017, v.10, Issue 2, 12p. OPEN ACCESS 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...| Biblioteca(s): INIA Las Brujas. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
31/07/2017 |
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Actualizado : |
20/02/2019 |
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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 : |
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. |
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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. |
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Título : |
Strategies for selecting crosses using genomic prediction in two wheat breeding programs. |
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Fecha de publicación : |
2017 |
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Fuente / Imprenta : |
The Plant Genome, 2017, v.10, Issue 2, 12p. OPEN ACCESS |
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ISSN : |
1940-3372 |
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DOI : |
10.3835/plantgenome2016.12.0128 |
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Idioma : |
Inglés |
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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. |
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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 |
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Palabras claves : |
GENOMIC SELECTION; WHEAT; WHEAT BREEDING PROGRAMS. |
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Thesagro : |
TRIGO. |
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Asunto categoría : |
-- |
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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 : |
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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.
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773 $tThe Plant Genome, 2017$gv.10, Issue 2, 12p. OPEN ACCESS
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