Dissection of genotype × environment interaction for green cob yield using AMMI and GGE biplot with MTSI for selection of elite genotype of sweet corn (Zea mays conva. Saccharata var. rugosa)

Abstract

Contemporary sweet corn differed from other types of maize due to the presence of a mutated version of one or more modest alleles in the endosperm which participates in starch synthesis. In the present study, 45 sweet corn genotypes were evaluated under three environments, namely, Anand (E1), Godhra (E2) and Sansoli (E3) in Gujarat during rabi 2020-21. Data on 14 characters were subjected to joint analysis of variance. After observing significant G × E interaction except for days to 50% tasseling and silking, the phenotypic stability of sweet corn genotypes for green cob yield was analyzed using multivariate techniques like AMMI and GGE biplots. Which-won-where biplot identifies 1820231/T1 and 1820228/T2 genotypes suitable for Godhra and Anand, respectively. At the same time, discriminativeness and representativeness decipher Anand as highly interactive environment for green cob yield. Y × WAASB biplot identify best genotypes with higher mean performance with excellent stability from the fourth quadrant. Multi-trait stability index identified seven genotypes viz., 1820162/T1 (G28), 1820194/T2 (G37), I-07-34-3-1 (G19), 1820164/20 (G3), I-07-62-22-5 (G24), 1820192/C4-20 (G16) and 1820214/C1-20 (G30) with higher phenotypic stability and mean performance for all interactive traits