Assessment of Gene Action and Identification of Heterotic Hybrids for Enhancing Yield in Field Pea

Abstract

Eight field pea parental lines and their twenty-eight F1s resulting from diallel design (excluding reciprocal) were analyzed for their combining ability and heterosis for yield and associated traits. ANOVA revealed significant variation among parents and among hybrids for days to 50% flowering, plant height, total number of pods, effective pods, seeds per pod, 100-seed weight, biological yield and seed yield; pod length also revealed significant differences among hybrids, suggesting the occurrence of considerable variability for studied traits. Crosses P-1541-16 × P-92-97-11 and P-1541-16 × P-1297-97 displayed significant heterosis over better-parent and control varieties for seed yield and associated traits. Combining ability analysis showedthat SCAvariance was considerably higher than corresponding GCAvariance for all traits. Genotype Aman and P-1297-97 were identified as good general combiners for seed yield, while cross P-1541-16 × P-1297-97, Aman × EC-564817, P-1541-16 × P-92-97-11 and P-1297-97 × P-92-97-11 were identified as specific cross-combiners for most of the studied traits. Consequently, these crosses might be exploited in future breeding programs to find desired segregants. PCA explained 81.68% and 83.34% variability in parents and crosses, respectively, for yield component. Furthermore, trait association between GCA effects and SCA effects demonstrates that biological yield, total number of pods, and effective pods exhibit additive gene action, but 100-seed weight exhibits non-additive gene action.

Deciphering Physio-Biochemical Basis of Tolerance Mechanism for Sesame (Sesamum indicum L.) Genotypes under Waterlogging Stress at Early Vegetative Stage

“…To know which trait or combination of traits would mitigate stress better, it is necessary to find a group of principal traits which can be obtained by principal component analysis (PCA) [ 91 ]. PCA showed that PC1 and PC2 are the important principal components as they contributed to the maximum variance in both optimal (63.62%) and stress conditions (75.62%), with an eigen value of more than one, which implies that the traits have a narrow angle in PC1 and PC2, and which may be used for indirect selection of the genotypes to mitigate the stress by creating better genetic recombinants [ 3 , 92 , 93 ]. However, most of the traits which are necessary for the survival of seedlings were showing positive correlation with H 2 O 2 and MDA in optimal condition, and had shown negative correlation in stress conditions.…”