Evaluation of seed yield stability of faba bean genotypes by linear mixed-effects models (LMM)

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Sharifi Peyman; Sheikh Fatemeh; Miri Khaled; Sekhavat Reza; Asteraki Hossein

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Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF FIELD CROP SCIENCE Year:2021 | Volume:53 | Issue:2 Page(s): 97-107

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Title

Evaluation of seed yield stability of faba bean genotypes by linear mixed-effects models (LMM)

Author(s)

Keywords

Adaptability

BLUP

Genetic values

LRT

REML

Abstract

To evaluate the yield stability of 19 faba bean genotype, an experiment was conducted in randomized complete block design with three replications in two cropping years (2015-2017) at four areas (Gorgan, Dezful, Boroujerd and Iranshahr). The effect of environment, genotype and interaction effect of genotype and environment were significant on all traits. Nominal yield plot identified G13, G12, G2, G9, G6 and G4 genotypes as more stable genotypes. Based on biplot analysis, G12, G16, G14, G9, G6 and G11 genotypes, had higher yield stability in addition to the highest seed yield. Based on different values for seed yield and weighted average of absolute scores of best linear unbiased predictions (WAASB), G11, G9, G18, G10, G13, G12, G16, G14 and G6 genotypes were high yielding and stable. The superior genotypes based on multi-trait selection index (MTSI) were G2, G18 and G6. The harmonic mean and relative performance of genotypic values (HMRPGV) introduced G14, G6 and G9 genotypes that had high stability and compatibility in addition to high seed yield. Overall, based on all analyzes and indices, G6 genotype identified as the most stable genotype and could be a candidate to introduce a new cultivar.

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