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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
31/07/2017 |
Actualizado : |
20/02/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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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INIA Las Brujas (LB) |
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
07/02/2024 |
Actualizado : |
07/02/2024 |
Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
Autor : |
BARRO, R.S.; RUBIO, V.; PRAVIA, V.; QUINCKE, A.; GRAHMANN, K.; TERRA, J.A.; LATTANZI, F. |
Afiliación : |
RAQUEL SANTIAGO BARRO, Professor at Department of Agronomy- Universidade Federal de Viçosa, Brazil.; VALENTINA RUBIO DELLEPIANE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA VIRGINIA PRAVIA NIN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JUAN ANDRES QUINCKE WALDEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; KATHRIN GRAHMANN, Leibniz Centre for Agricultural Landscape Research (ZALF), Germany; JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO A. LATTANZI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Soil organic carbon stocks in crop/pasture sequences - results from the oldest long-term agricultural experiment in Latin America. * |
Complemento del título : |
Panel: Soil component. |
Fecha de publicación : |
2023 |
Fuente / Imprenta : |
In: IV International Symposium on Integrated Crop-livestock Systems; Bento Gonçalves (RS), Brazil, November 7-11, 2023. Conference Proceedings, Volume 1. pp.254-258. |
Idioma : |
Portugués |
Notas : |
* Part of the first author's postdoctoral work, funded by Agencia Nacional de Investigación e Innovación code PD_NAC_2016_1_134181. -- Junto al IV ICLS se realizó el III Congresso Brasileiro de Sistemas Integrados de Produção Agropecuária y el VII Encontro de Sistemas Integrados de Produção Agropecuária no Sul do Brasil. |
Contenido : |
The aims of this study were to assess the long-term effects of different CPR on SOC stocks on the subsoil, and to draw conclusions about the capacity of CPR to sequester C in Uruguay.We conclude that incorporating pastures in continuous crop sequences increased soil organic carbon stocks through the soil profile by an average of 28%. |
Palabras claves : |
Equivalent soil mass; Forage legume; Mixed swards; Soil bulk density; Sustainable agriculture. |
Asunto categoría : |
P30 Ciencia del suelo y manejo del suelo |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/17485/1/Barro-etal-2023-IV-ICLS.pdf
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Marc : |
LEADER 01549nam a2200253 a 4500 001 1064450 005 2024-02-07 008 2023 bl uuuu u01u1 u #d 100 1 $aBARRO, R.S. 245 $aSoil organic carbon stocks in crop/pasture sequences - results from the oldest long-term agricultural experiment in Latin America. *$h[electronic resource] 260 $aIn: IV International Symposium on Integrated Crop-livestock Systems; Bento Gonçalves (RS), Brazil, November 7-11, 2023. Conference Proceedings, Volume 1. pp.254-258.$c2023 500 $a* Part of the first author's postdoctoral work, funded by Agencia Nacional de Investigación e Innovación code PD_NAC_2016_1_134181. -- Junto al IV ICLS se realizó el III Congresso Brasileiro de Sistemas Integrados de Produção Agropecuária y el VII Encontro de Sistemas Integrados de Produção Agropecuária no Sul do Brasil. 520 $aThe aims of this study were to assess the long-term effects of different CPR on SOC stocks on the subsoil, and to draw conclusions about the capacity of CPR to sequester C in Uruguay.We conclude that incorporating pastures in continuous crop sequences increased soil organic carbon stocks through the soil profile by an average of 28%. 653 $aEquivalent soil mass 653 $aForage legume 653 $aMixed swards 653 $aSoil bulk density 653 $aSustainable agriculture 700 1 $aRUBIO, V. 700 1 $aPRAVIA, V. 700 1 $aQUINCKE, A. 700 1 $aGRAHMANN, K. 700 1 $aTERRA, J.A. 700 1 $aLATTANZI, F.
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