Charcoal rot (CR), caused by Macrophomina phaseolina, is the most economically significant soil-borne disease of sorghum in many countries. The disease is highly influenced by the environment and known to be severe in high-yielding cultivars. Therefore, developing a CR resistant cultivar combined with high yield is challenging. Information on the relationship between traits associated with CR resistance and yield is lacking. This multi-environment study analysed genetic variation and relationships among the major traits associated with CR resistance—namely, CR index (CRI), CR lesion length (LL), and lodging (LOG); and yield—namely, grain yield (GY), stover yield (SY), and harvest index (HI) in popular post-rainy (Rabi) sorghum cultivars in India. The objective was to identify cultivar(s) that balance(s) stability and performance for both CR resistance and yield traits for pan-India presence. Eight cultivars were evaluated in replicated field trials across eight environments in India during the post-rainy seasons of 2018–2020. Most of the traits showed significant positive correlations with each other (p < 0.05 to p < 0.001). Environment-wise individual analysis of variance indicated significant variations for all traits in nearly all environments. The additive main effects and multiplicative interaction (AMMI) analysis of variance revealed highly significant (p < 0.001) genotypic (G), environmental (E), and G × E interaction effects for all the traits. Based on performance on mean and stability, the top two genotypes in AMMI analysis were CSV26 and CSV29R. Analysis using the multi-trait stability index (MTSI) identified the cultivar CSV26 for combined performance on mean and stability, as well as stability alone, whereas CSV29R was identified for performance on mean alone. Among the eight tested cultivars, CSV26 was identified as the best genotype for performance on mean and stability in AMMI analysis, multi-trait stability index (MTSI) analysis, and based on predicted mean values in best linear unbiased prediction (BLUP). CSV26 will serve as an important source material for developing stable sorghum cultivars for pan-India performance. The simultaneous use of data analysis methods, namely AMMI, MTSI, and BLUP, would be highly beneficial for plant breeders, enhancing the precision of selecting superior genotypes from multi-environment trials.
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