Document Type : Original Article
Authors
1
Assistant Professor, Crop and Horticultural Science Research Department, Lorestan Agricultural and Natural Resources Research and Education Center ( AREEO), Khorramabad, Iran
2
Researcher, Dryland Agricultural Research Institute, Sararood Branch, Agricultural Research, Education and Extension (AREEO), Kermanshah, Iran
3
Assistant Professor, Ilam Agricultural and Natural Resources Research and Education Center,( AREEO), Ilam, Iran
10.22034/plant.2024.141328.1105
Abstract
ABSTRACT
The integration of the two stability assessment methods of the best linear unbiased predictions (BLUP) and AMMI in multi- environment experiments based on the stability index of weighted average absolute scores (WAASB) helps to better evaluate plant genotypes. In the present study, the seed yield stability of 13 advanced lentil genotypes was evaluated in a multi-environment trials in three locations including; Khoramabad, Ilam and Kermanshahn in 2019-2022 cropping seasons. The experimental design was randomized complete block design with three replications. In order to evaluate genotype × environment interaction, AMMI and BLUP methods were combined by introducing WAASB and WAASBY indicators and the yield stability was evaluated by drawing various graphs. Considering the significant G×E interaction based on the results of the relative likelihood test (LRT), it was possible to perform BLUP analysis on the data. The highest predicted seed yield by BLUP method belonged to genotype no. 12 followed by genotypes no. 6, 4, 3, 5 and 9 which had higher than average predicted seed yield. To enable simultaneous selection based on both seed yield and yield stability, by combining seed yield (Y) and WAASB, a new index “WAASBY” was created. Considering 50% contribution of each of the two components of seed yield and yield stability, seven genotypes showed above average WAASBY. Genoypes no. 3, 6, 5 and 2 had considerably higher WAASBY when compared with other genotypes and was identified .
Keywords
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