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Stability analysis of stress-resilient maize (Zea mays L.) hybrids across stressed and non-stressed environments

Author: Pavani, N.
Author: Kuchanur, P.H.
Author: Patil, A.
Author: Arunkumar, B.
Author: Zaidi, P.H.
Author: Vinayan, M.T.
Author: Seetharam, K.
Year: 2019
ISSN: 2319-7706 (Print)
URI: https://hdl.handle.net/10883/20763
Language: English
Publisher: Excellent Publishers
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
Journal: International Journal of Current Microbiology and Applied Sciences
Journal: Special issue 9
Description: Field experiments were conducted during spring (heat stress), kharif (optimal) and rabi (moisture stress) 2018 at Agriculture College Farm, Bheemarayanagudi and Main Agricultural Research Station, Raichur to assess the stability of maize hybrids under stress and optimal conditions. Twelve maize hybrids along with five commercial checks were evaluated in Randomized Block design with three replications. Pooled analysis of variance revealed significant variations among the hybrids for all the traits, except shelling percentage. The mean sum of squares due to genotype × environment interactions and linear component of genotype × environment interaction were significant only for test-weight indicating the diversity among the selected environments. Based on stability parameters, hybrids viz., RCRMH-5, RCRMH-12 and RCRMH-2 for plant height, RCRMH-12 for number of kernels per cob, BGMH-2 for shelling percentage, RCRMH-10 and RCRMH-9 for test-weight and RCRMH-12 and RCRMH-4 for grain yield (kg ha-1) were identified as stable as they recorded regression values nearer to unity, nonsignificant deviation from the regression across the locations.
Agrovoc: CLIMATE CHANGE
Agrovoc: REGRESSION ANALYSIS
Agrovoc: ZEA MAYS
Agrovoc: HYBRIDS
Access Level: Open Access
Place: India
Pages: 252-260


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  • Maize
    Maize breeding, phytopathology, entomology, physiology, quality, and biotech

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