MAGNITUDE OF COMBINING ABILITIES AND HETEROSIS IN SUNFLOWER (Helianthus annuus L.)

Abstract: This investigation was carried out to study the combining ability effects of 9 parents of sunflower (6 lines and 3 testers) crossed in line x tester scheme for seed yield and yield components. A yield trial included the 18 crosses, 6 lines and 3 testers along with check variety (Sakha 53). The experiment was conducted during three successive summer seasons of 2014 to 2016 at Shandaweel Agricultural Research Station. The experimental design was RCBD with three replications. Mean squares due to crosses (C) inbred lines (L), testers for (T) and line x tester (LxT) were significant for most studied traits of both seasons as well as for the combined analysis. Significant variance of the interaction for C, L, T and LxT for the most studied traits was detected. ?2SCA played the major role in determining the inheritance of some traits, revealing that the largest part of the total genetic variability associated with these traits was a result of non- additive gene action. The magnitude of the interaction of ?2SCA x y was generally higher than for ?2 GCA x y in the same traits. This finding indicates that non-additive type of gene action is more affected by seed yield than additive and additive x additive types of gene action. Inbred linesA1, A3 and A5 considered as good combiners for head diameter and stem diameter. While, the parents A6, A4, and A2 were good general combiners for seed yield/plant, 100-seed weight, oil percent, plant height and earliness and Rf2 for earliness. For seed yield/plant, 100-seed weight oil percent, plant height and earliness the cross L6xT3 gave the best SCA effects. On the other hand, positive and negative heterosis over better parent were detected for all characters, indicated that parental genotypes were genetically diverse..
Publication year 2017
Organization Name
serial title المجلة المصرية لتربية النبات
Author(s) from ARC
External authors (outside ARC)
    حمام خضرى أحمد رحاب
Publication Type Journal