Stability analysis of promising winter maize (Zea mays L.) hybrids tested across Bihar using GGE biplot and AMMI model approach
Main Article Content
Abstract
Multilocation evaluation facilitates the quantification of genotype-environment interaction (GEI) and the identification of high-yielding, stable hybrids along with partitioning the evaluating location into mega environments. Testing of 24 single cross hybrids and four checks across three environments revealed the significant GEI for all the studied traits. The environment contributed 12.90, 57.10, and 17.59% of the total variation for grain yield, anthesis silking interval, and days to maturity. The study indicated a negative genotypic correlation among grain yield and anthesis silking interval (-0.2244); days to maturity and anthesis silking interval (-0.019), whereas the positive correlation between grain yield and days to maturity (0.067). Location Sabour was found as the most representative environment for testing commonly adapted hybrids. Location Begusarai and Dholi are discriminatory and non-representative environments suitable for selecting location-specific genotypes. Both GGE biplot and AMMI analysis revealed that three hybrids, viz., IMHSB1, IMHSB20, and IMHSB13 were high-yielding with average stability. The identification of superior and stable maize hybrids may contribute to farmers’ income in Bihar.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Anonymous. 2019. World agricultural production. Office of global analysis, FAS, United States Department of Agriculture. Circular Series. WAP 7-19. July 2019.
Balestre M, Pinho R, Souza J, Oliveira R. 2009. Genotypic stability and adaptability in tropical maize based on AMMI and GGE biplot analysis. Genetics and molecular research: GMR. 8. 1311-22. 10.4238/vol8-4gmr658.
Comstock KK, Holl KH. 1963. Genotype-environment-interactions. In Statistical Genetics and Plant Breeding, NAS-NRC982, Washington, D.C., pp. 164-196.
Ebdon JS, Gauch JR. 2002. Additive-main-effect-and-multiplicative-interaction analysis-of-national-turfgrass-performance-trials: -I. Interpretation-of-genotypeX environment-interaction. Crop Science. 42: 489-496.
FAOSTAT. 2018. Food and Agriculture Organization Statistical Database:
Kumar S and Singh SB. 2019. Book Chapter: Hybrid seed production technique in Maize. Manual on Training Programme-Cum-Exposure Visit on Advancement in Seed Technology and Marketing. 1:53-60
Rakshit S, Ganapathy KN, Gomashe SS, Rathore A, Ghorade RB Nagesh Kumar MV, Ganesmurthy K, Jain S K, Kamtar M Y, Sachan J S, Ambekar S S, Ranwa B R, Kanawade D G, Balusamy M, Kadam D, Sarkar A, Tonapi VA, Patil J V. 2012. GGE biplot analysis to evaluate genotype, environment and their interactions in sorghum multi-location data. Euphytica. 185:465–479.
Singh SB, Kasana RK, Kumar S and Kumar R. 2020. Assessing Genetic Diversity of Newly Developed Winter Maize (Zea mays L.) Inbred Lines Indian J. Plant Genet. Resour. 33(1): 68–76 (2020)
Singh SB, Karjagi CG, Hooda KS, Mallikarjuna N, Harlapur SI, Rajashekara H, Devlash R, Kumar S, Kasana RK, Kumar S, Gangoliya SS and Rakshit S. 2018. Identification of resistant sources against turcicum leaf blight of maize (Zea mays L.). Maize Journal 7(2): 64-71
Yan W. 2001. GGEbiplot–a Windows application for graphical analysis of multi-environment trial data and other types of two-way data. Agron J 93:1111–1118
Yan W, Kang MS, Ma B-L, Woods S, Cornelius PL. 2007. GGE biplot vs. AMMI analysis of genotype-by-environment data. Crop Sci 47:643–653
Yan W, Tinker NA. 2006. Biplot analysis of multi-environment trial data: principles and applications. Can J Plant Sci 86:623–645
Choudhary M, Kumar B, Kumar P, Guleria SK, Singh NK, Khulbe R, Kamboj MC, Vyas M, Srivastava RK, Puttaramanaik SD and Mahajan V. 2019. GGE biplot analysis of genotype× environment interaction and identification of mega-environment for baby corn hybrids evaluation in India. Indian J. Genet, 79(4), pp.658-669.
Kumar P, Kumar S, Choudhary M, Chikappa GK, Kumar B, Singh NK and Sinha SK. 2020. GGE biplot based stability analysis of experimental hybrids for baby corn purpose and green fodder. Range Management and Agroforestry, 41(1), pp.60-66.