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Linear regression model for stability analysis in blackgram (Vigna mungo L. Hepper) Germplasm

Journal of Pharmacognosy and Phytochemistry · 2019 · Vol. 8(2) · pp. 1481–1483

Abstract

Twenty-one blackgram genotypes were evaluated over three seasons to identify stable genotypes for eleven quantitative characters in blackgram. The stability analysis was carried out by Eberhart and Russell method where, analysis of variance showed significant differences among the genotypes for all the characters indicating the presence of inherent genetic variability. Genotype × environment interaction, showed significant variance for all the characters indicating considerable effect of seasons on genotypes. The seasonal indices stated that among the three seasons studied, season 1 and 3 was found as favourable, season 2 was fair, thus stating that Markazhi - Thaipattam (Winter irrigated) was found to be suitable for blackgram production. For seed yield per plant, none of the genotypes were found as stable. Genotypes KU-11680, VBG-12062 and ADT-5 were suitable for favourable environment and KGB-28 was suitable for unfavourable environment.

Genetics and Plant BreedingAgricultural pest management studiesAgricultural Science and FertilizationVignaGenotypeGermplasmBiologyWinter seasonAgronomyVeterinary medicineHorticultureGeneticsGene
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Linear regression model for stability analysis in blackgram (Vigna mungo L. Hepper) Germplasm · Scinovex