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Identification of bread wheat genotypes with superior grain yield and agronomic traits through evaluation under rust epiphytotic conditions in Kenya

Creator: Msundi, E.A.
Creator: Owuoche, J.O.
Creator: Oyoo, M.E.
Creator: Macharia, G.
Creator: Singh, R.P.
Creator: Randhawa, M.S.
Year: 2021
URI: https://hdl.handle.net/10883/21733
Language: English
Publisher: Nature Publishing Group
Copyright: CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
Type: Article
Country focus: Kenya
Place of Publication: United Kingdom
Issue: 1
Volume: 11
DOI: 10.1038/s41598-021-00785-7
Description: Bread wheat (Triticum aestivum L.) cultivars adapted to specific environments and resistant to prevalent pathogens are preferred for obtaining high yield. This study aimed to identify wheat genotypes with superior grain yield (GY) and yield associated traits from 168 genotypes of International Maize and Wheat Improvement Center’s 13th Stem Rust Resistance Screening Nursery evaluated over two seasons during 2019 and 2020 under high disease pressure of both stem rust (SR) and yellow rust (YR) in a 21 × 8 α-lattice design with 3 replications in Kenya. Effects due to seasons were significant for YRAud, SRAud, 1000-kernel weight (TKW), days to heading (DH), plant height (PH) and number of spikelets spike−1 (SS), while genotypes and genotypes × season interaction effects were significant for all traits except number of kernels spike−1. Respectively, heritability values of 0.95, 0.93, 0.87, 0.86, 0.77 and 0.75 were observed for area under disease progress curve for SR (SRAud), YR (YRAud), TKW, DH, biomass (BM) and GY. Path analysis showed positive direct effects on GY via PH, SS, BM, and TKW. Biplot analysis identified 16 genotypes with superior desirable traits GY, BM and harvest index. The SR contributed the highest reduction in GY and TKW while YR contributed the most reduction in BM. These identified genotypes with superior GY combined with adequate resistance to both SR and YR are potentially valuable resources for improvement of locally adapted wheat cultivars.
Agrovoc: SOFT WHEAT
Agrovoc: GENOTYPES
Agrovoc: EPIPHYTOTICS
Agrovoc: PLANT GENETICS
ISSN: 2045-2322
Journal: Nature Scientific Reports
Article number: 21415


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  • Wheat
    Wheat - breeding, phytopathology, physiology, quality, biotech

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