Analytic Measures for Adaptability of Wheat Genotypes for Northern Hills Zone of Country by Mixed Model Approach

Abstract

Adaptability of wheat genotypes studied by mixed model methodology under rainfed sown trials for the Northern Hills Zone of the country. Analytic measures marked HS612, HPW430, VL2023 & HS507 as of high yield and better adaptability across major locations of this zone while HS615 & HS617 for low degree of adaptation as per year 2015-16. Biplot analysis expressed stable yield of HPW349 and HPW441 genotypes. Majhera, Ranichauri and Khudwani, would be suitable environments for stable yield of genotypes. HPW442 had specific adaptations to Dhaulakuan and Berthin while HP441 for Almora and VL907 for Malan and Ranichauri, whereas HPW349 and HS634 identified for Khudwani. Genotypes HS631, HS632, VL2030 & VL 2025 were of high yield and better adaptability across major locations of this zone while HS 635 & VL 2028 with lower level of adaptation during 2016-17. Biplot analysis considered 86.1 % of total GxE interaction sum of squares marked HS507, HS634, HS636 and UP2991 genotypes of stable yield. HPW447 had specific adaptations to Wadhura, and Khudwani while VL2030 & VL2025 for Almora, whereas VL2027, UP2990 & VL2028 identified for Bajaura. Third year of study 2017-18 identified HS562 & VL907 with yield and better adaptability. Biplot analysis observed UP2953, HPW428 and HS613 as desirable genotypes for yield and adaptability. VL2021, HS616, HS507, HPW425 and HPW426 had specific adaptations to Shimla and VL2020, VL2024, HS613 would be for Almora and Malan, whereas HPW426 identified for Khudwani. Analytic measures based on Harmonic means showed suitability to identify the better adaptive genotypes with high yield.