37th Elite Selection Wheat Yield Trial
CIMMYT Research Data & Software Repository Network Dataverse OAI Archive
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Title |
37th Elite Selection Wheat Yield Trial
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Identifier |
https://hdl.handle.net/11529/10548041
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Creator |
Global Wheat Program
IWIN Collaborators Singh, Ravi Payne, Thomas |
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Publisher |
CIMMYT Research Data & Software Repository Network
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Description |
The Elite Selection Wheat Yield Trial (ESWYT) is a replicated yield trial that contains spring bread wheat (Triticum aestivum) germplasm adapted to Mega-environment 1 (ME1) which represents the optimally irrigated, low rainfall areas. Major stresses include leaf, stem and yellow rusts, Karnal bunt, and lodging. Representative areas include the Gangetic Valley (India), the Indus Valley (Pakistan), the Nile Valley (Egypt), irrigated river valleys in parts of China (e.g. Chengdu), and the Yaqui Valley (Mexico). This ME encompasses 36 million hectares spread primarily over Asia and Africa between 350S -350N latitudes. White (amber)-grained types are preferred by consumers of wheat in the vast majority of the areas. It is distributed to upto 200 locations and contains 50 entries.
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Subject |
Agricultural Sciences
Agricultural research Wheat Triticum aestivum Agronomic score Aboveground biomass at maturity Leaf chlorophyll content Canopy temperature Heading time Maturity time Powdery mildew severity Grain iron content Fusarium graminearum severity Grain appearance Grain germination Flour gluten content Grain moisture content Grain protein content Grain number per spike Grain yield Spot blotch severity Tan spot severity Lodging incidence Canopy normalized difference vegetation index Stem rust coefficient of infection Plant height Stripe rust coefficient of infection Maturity time Flour SDS sedimentation index Septoria blotch severity Spike length Septoria tritici blotch severity Grain test weight Grain weight Tiller number Stripe rust severity Grain Zinc content Mega Environment 37th ESWYT Fusarium spp. Phenol reaction score Selected check mark |
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Language |
English
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Date |
2018-05-04
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Contributor |
Rodriguez, Araceli
Global Wheat Program (GWP) Genetic Resources Program (GRP) CGIAR Research Program on Wheat (WHEAT) CGIAR |
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Type |
Dataset
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