Study of grain yield stability of Lentil genotypes by AMMI model

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Background and Objectives

This study was conducted to investigate the interaction of genotype × environment and to study the compatibility and yield stability of 20 lentil genotypes using incremental and multiplicative principal effects model (AMMI).

Materials and Methods

The present experiment was carried out in randomized complete block designs with 3 replications during 2018-2019, 2019-2020 under rain-fed conditions (in two regions of cold dryland areas including Zanjan, Maragheh (total of 4 environments). Each experimental plot consisted of 4 rows of planting 4 meters long with a density of 200 plants per square meter with a distance of 25 cm between lines. Planting was done manually. Combined analysis of variance was performed using SAS.V.9.1 statistical software assuming the effect of genotype and location were constant and the effect of year was random. AMMI analysis and calculation of main components of interaction for all genotypes and drawing of biplots and calculation of ASV stability index were done using CROPSTAT software.

Results

The combined analysis of variance for grain yield showed significant differences for year, genotype, genotype × year, year × location effects. The first and second components in AMMI model accounted for 83.3% and 10.92% of the interaction sum of squares, respectively. Considering the numerical values of interaction for each genotypes and genotypes rank, genotypes G3، G17، G1، G7، G13، G14 and G18 were found to be more stable genotypes. Also, based on AMMI stability value (ASV), genotypes G11 ،G8 ،G14، G10، G20 ، G3 and G13 were determined as stable genotypes.

Conclusion

Among stable genotypes, genotypes G5, G8, G11, G13 and had higher mean grain yield. Therefore, these genotypes can be proposed for using in future breeding programs to introduce new cultivars.

Language:
Persian
Published:
Journal of Agricultural Science and Sustainable Production, Volume:33 Issue: 2, 2023
Pages:
297 to 310
https://magiran.com/p2599792  
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