GGE biplot analysis of Line by tester for seed yield and its attributes in sunflower

Abstract

Nine genetically diverse sunflower promising lines in their economic trait were crossed using line by tester mating design in 2018 spring season, to estimate per se performance, combining ability, heterosis, gene action and heritability for earliness, yield and its attributes traits. The parents involved four sunflower CMS lines namely L1 (A3), L2 (A5), L3 (A9) and L4 (A13) (called hereafter "Lines" (as female parents) and five sunflower genotypes T1 (RF9), T2 (RF10), T3 (RF11), T4 (RF14) and T5 (RF1) as male parents (called hereafter "Tester"). In 2018 and 2019 summer season, the nine parents along with their 20 F 1 s seeds were evaluated at Shandaweel Agricultural Research Station, ARC, Sohag Governorate, Egypt using a randomized complete blocks design with three replications. Mean squares due to parents (P), crosses (C), CMS lines (L), RF testers (T), P vs C and L x T were significant for all studied traits. A larger magnitude of non-additive gene action than additive was revealed by greater ratios (GCA/ SCA) than unity for all studied traits (except for days to 50% flowering). A5 and A13 of CMS lines and RF11 and RF14 of RF lines proved to be the best general combiners for seed weight plant -1 and one or more of its attributes traits. Moreover, the best cross combinations A13 x RF11, A13 x RF1 and A5 x RF9 performed better than other developed hybrids in view of seed weight plant -1 and one or more of its attributes, hence these F1 hybrids could further be used on commercial exploitation. For citation:Ahmed MA, Abdelsatar MA, Attia MA, Abeer AA. GGE biplot analysis of Line by tester for seed yield and its attributes in sunflower.

Evaluation of Combining Ability and Heterosis for Earliness and Growth Traits of some Sunflower Genotypes under Water Stress Conditions

“…These results indicating the wide diversity among the parental material and enough genetic variability adequate for further biometrical assessment. This result is in agreement with the results of Sultan, et al (2009a), Sultan, et al, (2009b), Sultan, et al (2010), Abd El-Satar, et al (2015, Abd El-Satar (2017), Ahmed, et al (2019), Abdelsatar, et al (2020), Abdelsatar and Hassan (2020), and Ibrahim, Suzan et al (2021).…”

“…This result is in agreement with the results of Sultan, et al (2009a), Sultan, et al, (2009b), Sultan, et al (2010), Abd El-Satar, et al (2015, Abd El-Satar (2017), Ahmed, et al (2019), Abdelsatar, et al (2020), Ibrahim, Suzan et al (2021).…”

“…Furthermore, Khani et al (2005) in Iran, indicated that the general combining ability/specific combining ability ratio revealed that under no-stress conditions, the non-additive (dominance) variance was significant and more important in the expression of 1000-seed weight than the additive one. In addition, Sultan, et al (2009a), Sultan, et al, (2009b), Sultan, et al (2010), Abd El-Satar, et al (2015), Abd El-Satar (2017), Ahmed, et al (2019), Abdelsatar, et al (2020), Abdelsatar and Hassan (2020), and Ibrahim, Suzan et al (2021) found that both additive and non-additive gene actions were significant in the expression of examined traits, with a predominance of non-additive gene action for most traits. As a consequence, precise genetic information on earliness and maturity traits as well as growth traits inherited in these breeding materials provides the best opportunity for designing efficient breeding program and/or selection techniques to improve these traits in sunflower.…”

Assessment of combining ability in purple corn parents under line × tester mating design using GGE biplot

“…The Genotype by Environment Interaction Biplot (GGE Biplot) approach commonly has been used to investigate a plant's combining ability and line potential (Kannababu et al 2017;Khalil dan Raziuddin 2017;Ahmed et al 2019). This technique is suitable for data originating from the line  tester crosses based on the data structure (Ruswandi et al 2015b;Kahriman et al 2016).…”

“…The GGE biplot will provide clear explanations of the source of variation, making it easier for breeders to choose the desired genotype (Yan 2001). The GGE biplot analysis on the line × tester has also been applied to other crops such as sorghum (Kannababu et al 2017), sunflower (Ahmed et al 2019), corn (Ruswandi et al 2015b;Momeni et al 2020). Unfortunately, there has been limited study into how GGE-biplot may be used to identify the best parent lines with good combining ability in physiological aspects such as anthocyanin content.…”