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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; INIA Treinta y Tres. |
Fecha actual : |
27/04/2021 |
Actualizado : |
28/04/2021 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
RUGGIA, A.; DOGLIOTTI, S.; AGUERRE, V.; ALBICETTE, M.M.; ALBÍN, A.; BLUMETTO, O.; CARDOZO, G.; LEONI, C.; QUINTANS, G.; SCARLATO, S.; TITTONELL, P.; ROSSING, W. A.H. |
Afiliación : |
ANDREA PAOLA RUGGIA CHIESA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Farming Systems Ecology, Wageningen University and Research, Wageningen, the Netherlands; SANTIAGO DOGLIOTTI, Universidad de la República, Facultad de Agronomía, Departamento de Producción Vegetal, Montevideo, Uruguay; MARIA VERONICA AGUERRE ANTIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA MARTA ALBICETTE BASTRERI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALFREDO SANTIAGO ALBÍN FERREIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; OSCAR RICARDO BLUMETTO VELAZCO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GERONIMO AGUSTIN CARDOZO CABANELAS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CAROLINA LEONI VELAZCO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GRACIELA QUINTANS ILARIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SANTIAGO SCARLATO GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PABLO TITTONELL, Instituto Nacional de Tecnología Agropecuaria (INTA), Grupo de Agroecología, Ambiente y Sistemas de Producción, San Carlos de Bariloche, Argentina; WALTER A.H. ROSSING, Farming Systems Ecology, Wageningen University and Research, Wageningen, the Netherlands. |
Título : |
The application of ecologically intensive principles to the systemic redesign of livestock farms on native grasslands: A case of co-innovation in Rocha, Uruguay. |
Fecha de publicación : |
2021 |
Fuente / Imprenta : |
Agricultural Systems, June 2021, Volume 191, Article 103148. OPEN ACCESS. Doi: https://doi.org/10.1016/j.agsy.2021.103148 |
ISSN : |
0308-521X |
DOI : |
10.1016/j.agsy.2021.103148 |
Idioma : |
Inglés |
Notas : |
Article history: Received 30 November 2020; Received in revised form 5 April 2021; Accepted 6 April 2021.
Editor: Guillaume Martin.
The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Corresponding author at: Instituto Nacional de Investigaci´on Agropecuaria (INIA), Estación Experimental INIA Las Brujas, Ruta 48 km 10, Canelones, Uruguay
and P.O. Box 430, 6700 AK, Wageningen, The Netherlands. Corresponding author: Andrea Ruggia - E-mail: aruggia@inia.org.uy, andrea.ruggia@wur.nl Corresponding author: Santiago Dogliotte - E-mail: sandog@fagro.edu.uy |
Contenido : |
ABSTRACT.
CONTEXT: Family-run cow-calf farms based on native grasslands exhibit low economic and social sustainability, as reflected in low family incomes and high workloads. Experimental results have shown that pasture?herd interaction management could improve native grasslands and animal productivity.
OBJECTIVE: This paper analyzes the extent to which the sustainability of family-run livestock farms based on native grasslands could be enhanced by a systemic redesign informed by ecological intensification practices. The research questions address the initial state of farm sustainability, key bottlenecks to improving farm sustainability,
and changes in sustainability criteria achieved over three years of farm redesign.
METHODS: The study was executed as part of a multi-level co-innovation project in Uruguay in which a team of scientist-practitioners and seven farm families participated in farm characterization, diagnosis, and redesign. The farm characterization took the form of indicators to describe the farms' management and bio-physical subsystems. Redesign plans were negotiated between the research team and the farmers. Frequent monitoring and evaluation cycles enabled finetuning across the years of implementation. |
Palabras claves : |
Monitoring and evaluation; Native grasslands; Participatory approach; Pasture-herd interactions; Reflexivity; Systems thinking. |
Asunto categoría : |
P01 Conservación de la naturaleza y recursos de La tierra |
URL : |
https://www.sciencedirect.com/science/article/pii/S0308521X21001013/pdfft?md5=b2bbe53881026f740faf29e35f3350ce&pid=1-s2.0-S0308521X21001013-main.pdf
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Marc : |
LEADER 03040naa a2200361 a 4500 001 1062001 005 2021-04-28 008 2021 bl uuuu u00u1 u #d 022 $a0308-521X 024 7 $a10.1016/j.agsy.2021.103148$2DOI 100 1 $aRUGGIA, A. 245 $aThe application of ecologically intensive principles to the systemic redesign of livestock farms on native grasslands$bA case of co-innovation in Rocha, Uruguay.$h[electronic resource] 260 $c2021 500 $aArticle history: Received 30 November 2020; Received in revised form 5 April 2021; Accepted 6 April 2021. Editor: Guillaume Martin. The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). Corresponding author at: Instituto Nacional de Investigaci´on Agropecuaria (INIA), Estación Experimental INIA Las Brujas, Ruta 48 km 10, Canelones, Uruguay and P.O. Box 430, 6700 AK, Wageningen, The Netherlands. Corresponding author: Andrea Ruggia - E-mail: aruggia@inia.org.uy, andrea.ruggia@wur.nl Corresponding author: Santiago Dogliotte - E-mail: sandog@fagro.edu.uy 520 $aABSTRACT. CONTEXT: Family-run cow-calf farms based on native grasslands exhibit low economic and social sustainability, as reflected in low family incomes and high workloads. Experimental results have shown that pasture?herd interaction management could improve native grasslands and animal productivity. OBJECTIVE: This paper analyzes the extent to which the sustainability of family-run livestock farms based on native grasslands could be enhanced by a systemic redesign informed by ecological intensification practices. The research questions address the initial state of farm sustainability, key bottlenecks to improving farm sustainability, and changes in sustainability criteria achieved over three years of farm redesign. METHODS: The study was executed as part of a multi-level co-innovation project in Uruguay in which a team of scientist-practitioners and seven farm families participated in farm characterization, diagnosis, and redesign. The farm characterization took the form of indicators to describe the farms' management and bio-physical subsystems. Redesign plans were negotiated between the research team and the farmers. Frequent monitoring and evaluation cycles enabled finetuning across the years of implementation. 653 $aMonitoring and evaluation 653 $aNative grasslands 653 $aParticipatory approach 653 $aPasture-herd interactions 653 $aReflexivity 653 $aSystems thinking 700 1 $aDOGLIOTTI, S. 700 1 $aAGUERRE, V. 700 1 $aALBICETTE, M.M. 700 1 $aALBÍN, A. 700 1 $aBLUMETTO, O. 700 1 $aCARDOZO, G. 700 1 $aLEONI, C. 700 1 $aQUINTANS, G. 700 1 $aSCARLATO, S. 700 1 $aTITTONELL, P. 700 1 $aROSSING, W. A.H. 773 $tAgricultural Systems, June 2021, Volume 191, Article 103148. OPEN ACCESS. Doi: https://doi.org/10.1016/j.agsy.2021.103148
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