PJB-2021-453
STABILITY ANALYSIS IN BREAD WHEAT GENOTYPES FOR GRAIN YIELD USING GGE BIPLOT
Muhammad Ilyas
Abstract
Cross-over interaction is a challenge to wheat breeders while recommending genotypes for target environments. The GGE biplot is relatively a new tool used for evaluating multi-environment trials (METs). In the present study, 60 bread wheat genotypes including 55 F5:8 bread wheat RILs and five check cultivars were evaluated for grain yield performance across eight environments, Peshawar (E1 and E5); Kohat (E2 and E6); Sarai Naurang (E3 and E7) and Dera Ismail Khan (E4 and E8) of Khyber Pakhtunkhwa during 2014/15 and 2015/16. Plant material was grown in a 5 × 12 alpha lattice design in two replicates. Data for grain yield was analysed using GGE biplot to interpret GE interactions. Based on GGE biplot analysis, IPC1 and IPC2 explained 32.9% and 22.6% of the total variation due to GE interaction for grain yield, respectively. Graphical visualization of the tested wheat RILs indicated wheat RIL51 as the most stable, followed by RILs 36 and 53 with higher yield than average, while the RILs 49, 43 and 25 were high yielding in specific environments. The GGE biplot also revealed that wheat RILs 53, 36 and 51 performed above average. Moreover, the RIL53 performed well in environment E1, while RIL4 and RIL9 were best in E8, E6, and E4. The GGE biplot grouped E4, E6 and E8 as first; E1, E2 and E5 as second whereas E3 and E7 as a third mega environment. The GGE biplot analysis proved to be helpful in detecting the GE interaction pattern, classification of mega environments and simultaneous selection of genotypes based on stability and mean yield.
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