Assessment of G x E Interactions in Maize (Zea mays L.) Hybrids for Yield using AMMI and GGE Models

Autor: M. Sofiya, R. Nirmal Raj, J. Gokulakrishnan
Rok vydání: 2021
Předmět:
Zdroj: Indian Journal Of Agricultural Research.
ISSN: 0976-058X
0367-8245
DOI: 10.18805/ijare.a-5637
Popis: Background: In the wake of unpredictable climate change, it is imperative for the breeders to identify hybrids with better adaptation to meet the growing food demand. The present study was carried out to identify stable maize hybrids across various environments. Methods: Twenty one maize hybrids along with two commercial checks viz., CP-818 and Bioseed-TX369 were tested over three locations viz., Viluppuram, Trivandrum and Nagercoil. The experiments were laid out in randomized block design with three replications. Result: AMMI and GGE analysis of variance revealed that the first two principal axes explained the majority of G ´ E interaction. According to AMMI analysis, the hybrid AUK 6240 was relatively stable with high mean whereas, GGE biplots-genotype view identified AUMH 1277 as stable with better yield per plant. GGE biplot-environment view identified Nagercoil as the ideal test location. What-won-where biplots identified three hybrids viz., AU-101, AU-110 and CP-818 suited to Viluppuram and Nagercoil. Though, hybrids with specific adaptability and ideal test location were efficiently identified, study must be extended to more number of environments and hybrids.
Databáze: OpenAIRE