Use of biplot approach for genetic analysis of yield and related traits in cotton (Gossypiumbarbadense)

Abstract

Combining ability is an important genetic attributes to cotton breeders in anticipated improvement via hybridization and selection. Seven parents were involved in a half diallel mating design which was analyzed by genotype × environment interaction (GGE) biplot graphical method. General combining ability (GCA) and specific combining ability (SCA) effects were significant for all traits. None of the parents were found to be a good combiner for all traits. The combinations of Giza 75 x Sea, 10229 x Giza 86 and Giza 86 had the best SCA for seed cotton yield/plant, lint percentage and boll weight, respectively. The graphical demonstration proposed by the biplot analysis provided an effective overview of GCA and SCA effects and mean performances in crosses. In addition, the biplot also provided an opportunity for assessing the interrelationship among the genotypes.

Combining ability × environment interaction and genetic analysis for agronomic traits in safflower (Carthamus tinctorius L.): biplot as a tool for diallel data

“…In this study, the GGE biplot technique allowed the effective and rapid view of GCA and SCA effects of the parental genotypes, best lines and tester and their performance in different crosses in this study. Even though GGE biplot analysis of diallel data is widely used to determine combining ability and heterotic responses in many crops for yields, such as oil crops [rape seed (Sincik et al, 2011), cotton (Hamoud, 2014), maize Badu-Apraku et al, 2013)] and forages such as alfalfa (Milić et al 2011). This method has rarely been reported for diallel data analysis for safflower at multi location trials.…”