Resultados de búsqueda - "Oxford University"
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A marker weighting approach for enhancing within-family accuracy in genomic prediction
Publicado 2024Enlace del recurso
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Oryza glumaepatula: A wild relative to improve drought tolerance in cultivated rice
Publicado 2023Enlace del recurso
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Enabling positive tipping points in public support for food system transformation: The case of meat consumption
Publicado 2023Enlace del recurso
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Coherence for nutrition: Insights from nutrition-relevant policies and programs in Burkina Faso and Nigeria
Publicado 2021Enlace del recurso
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Implementation science in nutrition: Concepts and frameworks for an emerging field of science and practice
Publicado 2019Enlace del recurso
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Public expenditures, growth, and poverty: Lessons from developing countries
Publicado 2008“…The findings from those studies have been brought together in a new book, Public Expenditures, Growth, and Poverty: Lessons from Developing Countries (published for IFPRI by the Johns Hopkins University Press and, in South Asia, by Oxford University Press). The approach used in the book differs from previous work in that it considers multiple types of government spending, including investments in agriculture, infrastructure, health, education, and social safety nets; recognizes that investments have a direct impact on poverty reduction through multiple channels; and links the effects of public investment to its overall social benefits and cost, using a computable general equilibrium (CGE) framework.…”
Enlace del recurso
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Using artificial odors to optimize attractiveness of host decoy traps to malaria vectors
Publicado 2024Enlace del recurso
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Natural variation in LONELY GUY-Like 1 regulates rice grain weight under warmer night conditions
Publicado 2024Enlace del recurso
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Rice breeding for yield under drought has selected for longer flag leaves and lower stomatal density
Publicado 2021Enlace del recurso
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The Green Revolution shaped the population structure of the rice pathogen Xanthomonas oryzae pv. oryzae
Publicado 2020Enlace del recurso
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Hyperspectral reflectance-derived relationship matrices for genomic prediction of grain yield in wheat
Publicado 2019Enlace del recurso
Journal Article