Record Details

32nd Elite Selection Wheat Yield Trial

CIMMYT Research Data & Software Repository Network Dataverse OAI Archive

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Title 32nd Elite Selection Wheat Yield Trial
 
Identifier https://hdl.handle.net/11529/10401
 
Creator Global Wheat Program
IWIN Collaborators
Singh, Ravi
Payne, Thomas
 
Publisher CIMMYT Research Data & Software Repository Network
 
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.
 
Subject Agricultural Sciences
Agricultural research
Wheat
Triticum aestivum
Agronomic score
Aboveground biomass at maturity
Canopy temperature depression
Drought tolerance
Leaf chlorophyll content
Heading time
Maturity time
Heading time
Powdery mildew severity
Plant early vigour
Fusarium graminearum severity
Fusarium head blight spike incidence
Grain germination
Grain moisture content
Grain size
Grain number per spike
Grain yield
Harvest index
Helminthosporium species severity
Spot blotch incidence
Leaf glaucousness
Lodging incidence
Stem rust coefficient of infection
Plant height
Leaf rust coefficient of infection
Stripe rust coefficient of infection
Stripe rust spike severity
Spike length
Spikelet number
Septoria tritici blotch severity
Grain test weight
Grain weight
Tiller number
Mega Environment 1
Selected check mark
Lodging angle to vertical
32nd ESWYT
 
Language English
 
Date 2017-01-06
 
Contributor Rodriguez, Araceli
Global Wheat Program (GWP)
Genetic Resources Program (GRP)
CGIAR Research Program on Wheat (WHEAT)
CGIAR
 
Type Dataset