Record Details

38th Elite Selection Wheat Yield Trial

CIMMYT Research Data & Software Repository Network Dataverse OAI Archive

View Archive Info
 
 
Field Value
 
Title 38th Elite Selection Wheat Yield Trial
 
Identifier https://hdl.handle.net/11529/10548343
 
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
Above ground biomass
Canopy temperature
Days to anthesis
Days to heading
Days to maturity
Powdery mildew
Germination
Ground cover at 5 leaf stage
Grain hardness
Grain moisture
Grain protein
Grains spike
Grain yield
Grain weight per spike
Helminthosporium sativum leaf
Leaf length
Leaf width
Lodging percent harvested area
Normalized difference vegetation index
Stem rust
Plant height
Leaf rust
Stripe rust on leaf
Sedimentation index
Spike length
Septoria tritici blotch
Test weight
1000 grain weight
Mega Environment 1
38th ESWYT
Selected check mark
Fusarium spp.
 
Language English
 
Date 2017
 
Contributor Rodriguez, Araceli
Global Wheat Program (GWP)
Genetic Resources Program (GRP)
CGIAR Research Program on Wheat (WHEAT)
CGIAR
 
Type Experimental data
Phenotypic data