Original article | Helia 2020, Vol. 43(72) 33-49
Mohamed Ali Abdelsatar Tamer Hassan Ali Hassan Mahrous Abd El-Baset Attia
pp. 33 - 49
Published online: June 01, 2020 | Number of Views: 11 | Number of Download: 33
Abstract
Simultaneously identify superior performing in terms of seed yield and seed oil content and broad adaptation across a wide range of different environments is an important target for sunflower breeder. So 10 sunflower genotypes were evaluated across the eight various environments created by sowing at four locations i. e. Kafr El Hamam/ Sharkia Shandaweel /Sohag Tag El Ezz/ Dakahlia and Al Arish/ North Sinai Agricultural Research Stations Agricultural Research Center (ARC) Egypt during the two successive summer seasons 2018 and 2019 using randomized complete block designs with four replications in each environment. Results showed that mean squares due to environments genotypes and their interaction were highly significant for seed yield and seed oil content. Most stability approaches revealed that high performing stable genotypes were L240 for seed yield and Sakha 53 L110 and L235 for seed oil content under divergent environments. Hence these four stable sunflower genotypes could be behaved as good breeding materials stock for sunflower improvement.
Keywords: AMMI; genotype × environment interaction; GGE; stability statistics; sunflower (Helianthus annuus L)
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