Study on Adaptability and Grain Yield Stability of Durum Wheat Genotypes
Author(s) -
Hajar Badri,
Reza Mohammadi,
Alireza Etminan
Publication year - 2020
Publication title -
journal of crop breeding
Language(s) - English
Resource type - Journals
eISSN - 2676-4628
pISSN - 2228-6128
DOI - 10.29252/jcb.12.33.119
Subject(s) - adaptability , grain yield , agronomy , yield (engineering) , stability (learning theory) , biology , materials science , composite material , computer science , ecology , machine learning
In order to evaluation of adaptability and grain yield stability of durum wheat genotypes, an experiment was conducted under rainfed and supplemental irrigation conditions based on a randomized complete block design with three replications at Sararood dryland agricultural research station (Kermanshah, Iran) for three cropping seasons ( , and ). Analysis of variance (ANOVA) indicated significant differences (P< ) between the main effects due to genotype, environment, and genotype x environment (GE) interaction. The magnitude of GE interaction was greater about twice times than the genotype effect that indicates the probability of different environmental groups for the genotypes adaptation. Biplot analysis of grain yield data based on AMMI model showed that the genotypes had different responses to the environments, so the adapted genotypes were determined for each environmental group. According to Ebrahat and Russell's criteria, genotype G and G with higher yield than grand mean, and minimum variance deviation and regression coefficient close to unit, were found as desirable genotypes. Based on AMMI stability value (ASV), genotypes G , G and G were identified as most stable genotypes.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom