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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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Registro original :  INIA Las Brujas (LB)
Biblioteca Identificación Origen Tipo / Formato Clasificación Cutter Registro Volumen Estado
LB101439 - 1PXIAP - DDPP/TPG/2017

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Biblioteca (s) :  INIA Las Brujas.
Fecha actual :  14/02/2022
Actualizado :  14/02/2022
Autor :  VAUGHAN, C.; DESSAI, S.; HEWITT, C.; BAETHGEN, W.; TERRA, R.; BERTERRETCHE, M.
Afiliación :  CATHERINE VAUGHAN, Sustainability Research Institute and ESRC Centre for Climate Change Economics and Policy, School of Earth and Environment, University of Leeds, United Kingdom; International Research Institute for Climate & Society, Columbia University, United States; SURAJE DESSAI, Sustainability Research Institute and ESRC Centre for Climate Change Economics and Policy, School of Earth and Environment, University of Leeds, United Kingdom; CHRIS HEWITT, UK Met Office, United Kingdom; WALTER E. BAETHGEN, International Research Institute for Climate & Society, Columbia University, United States; RAFAEL TERRA, Instituto de Mecánica de los Fluidos y Ingeniería Ambiental, Universidad de la Republica, Uruguay; MERCEDES BERTERRETCHE, Ministerio de Ganadería, Agricultura y Pesca, Uruguay.
Título :  Creating an enabling environment for investment in climate services: The case of Uruguay's National Agricultural Information System.
Fecha de publicación :  2017
Fuente / Imprenta :  Climate Services, 2017, Volume 8, Pages 62-71. OPEN ACCESS. doi:
ISSN :  2405-8807
DOI :  10.1016/j.cliser.2017.11.001
Idioma :  Inglés
Notas :  Article history: Received 10 July 2017; Received in revised form 20 October 2017; Accepted 2 November 2017; Available online 20 November 2017.
Contenido :  ABSTRACT.- Increasingly challenged by climate variability and change, many of the world's governments have turned to climate services as a means to improve decision making and mitigate climate-related risk. While there have been some efforts to evaluate the economic impact of climate services, little is known about the contexts in which investments in climate services have taken place. An understanding of the factors that enable climate service investment is important for the development of climate services at local, national and international levels. This paper addresses this gap by investigating the context in which Uruguay's Ministry of Livestock, Agriculture and Fisheries invested in and developed its National System of Agriculture Information (SNIA), a national-level climate service for the agriculture sector. Using qualitative research methods, the paper uses key documents and 43 interviews to identify six factors that have shaped the decision to invest in the SNIA: (1) Uruguay's focus on sustainable agricultural intensification; (2) previous work on climate change adaptation; (3) the modernization of the meteorological service; (4) the country's open data policy; (5) the government's decision to focus the SNIA on near-term (e.g., seasonal) rather than long-term climate risk; and (6) the participation of key individuals. While the context in which these enablers emerged is unique to Uruguay, it is likely that some factors are generalizable to other countries. Social sc... Presentar Todo
Palabras claves :  Adaptation; Agriculture; Climate change; Climate services; Climate variability; Decision support; URUGUAY.
Asunto categoría :  P40 Meteorología y climatología
URL :  https://www.sciencedirect.com/science/article/pii/S2405880717300808/pdfft?md5=11e3ffd6626e8753789caef8d494d0b1&pid=1-s2.0-S2405880717300808-main.pdf
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Registro original :  INIA Las Brujas (LB)
Biblioteca Identificación Origen Tipo / Formato Clasificación Cutter Registro Volumen Estado
LB103002 - 1PXIAP - DDPP/Climate Services/2017
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