ASSESSING YIELD STABILITY OF WHEAT GENOTYPES THROUGH VARIOUS STABILITY ANALYSES MODELS GROWN UNDER DIFFERENT AGRO-ECOLOGICAL ZONES OF SINDH

Eleven stability models including parametric and non-parametric were assessed for grain yield stability. Twelve advanced wheat genotypes along with two commercial check varieties, Kiran-95 and NIA-Amber were evaluated at seven different locations viz Umerkot, Badin, Sakrand, Shahadadpur, Sanghar, Khairpur and Nausheroferoz during 2014-15 wheat growing season. The experimental layout was RCBD with three replication. Mean grain yield data showed that genotypes G4 (NIA-EST-28/11), G3, (AS-3) G5 (NIA-EST-92/9), G1 (AS-1) and G13 (Kiran-95) produced higher yield than other contesting genotypes across seven ecological zones. Results of stability analyses revealed that out 11 models studied G2, G6 were declared as stable by 8 models and G11 and G14 by 7 models. Thus, these genotypes could be more stable. Results of coefficeint of variation (CV%), deviation from regression(S2di), coefficients of determination (R2), stability variance (?i2) ,desirabiltiy index (DJi), wricke?s ecovalence (Wi) stability models, genotypic absolute rank Si(1) and genotypic variance Si(2) were closely similar in declaring genotypes as stable. However, the regression coefficient (bi) and superiority index (Pi) models picked high yielding genotypes as stable, which indicated that models for high yielding and low yielding genotypes may be assessed seprately for further confirmation of the results.