38th Semi-Arid Wheat Screening Nursery
CIMMYT Research Data & Software Repository Network Dataverse OAI Archive
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Title |
38th Semi-Arid Wheat Screening Nursery
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Identifier |
https://hdl.handle.net/11529/10548591
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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 Semi-Arid Wheat Screening Nursery (SAWSN) is a single replicate trial that contains diverse spring bread wheat (Triticum aestivum) germplasm adapted to low rainfall, drought prone, semi-arid environments typically receiving less than 500 mm of water available during the cropping cycle. CIMMYT's breeding approach attempts to combine high yield potential with drought resistance for ME4. The combination of water-use efficiency and water responsive traits plus yield potential is important in drought environments where rainfall is frequently erratic across years. When rains are significantly above average in certain years, the crop must respond appropriately (water responsive) with higher yields, while expressing resistance to the wider suite of diseases that appear under more favorable conditions. Constrains including leaf, stem and yellow rusts, and Septoria spp., Fusarium spp., Pyrenophora tritici-repentis tan spot, nematodes and root rots must be considered. It is distributed to 120 locations, and contains 150-250 entries.
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Subject |
Agricultural Sciences
Agricultural research Wheat Triticum aestivum Agronomic score Days to heading Days to maturity Bird damage per plot Powdery mildew Fusarium graminearum severity Fhbindex Fhb-incidence Grains spike Grain yield Lodging percent harvested area Stem rust Plant height Leaf rust Stripe rust on leaf Septoria species Test weight 1000 grain weight Winter kill Mega Environment 4 38th SAWSN Selected check mark Grain wt spike Other unidentified foliar blights |
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Language |
English
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Date |
2021-08-10
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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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