Combining ability, heterotic patterns and genetic diversity of extra-early yellow inbreds under contrasting environments

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.…”

Combining Ability and Gene Action of Tropical Maize (Zea mays L.) Inbred Lines under Low and High Nitrogen Conditions

“…Genetic studies have been conducted on maize genotypes under low N using different sources of genetic material (Badu-Apraku et al, 2013;Betràn et al, 2003;De Souza et al, 2008;Makumbi et al, 2011;Meseka et al, 2006;Meseka et al, 2013;Miti, 2007;Pswarayi & Vivek, 2008). However, information on gene action conditioning grain yield under low N has been contradictory.…”

Heterotic Patterns of IITA and CIMMYT Early‐Maturing Yellow Maize Inbreds under Contrasting Environments

“…One of such methods is the HSGCA method that combines both SCA and GCA effects for assigning inbred lines into heterotic groups. Studies have so far proved this method to be more effective than the use of SCA effects of grain yield alone or molecular markers for classifying inbred lines into distinct groups (Fan et al, 2004;Badu-Apraku et al, 2013b, 2013cAkinwale et al, 2014). A grouping method using the GCA of multiple traits (designated HGCAMT) was proposed for grouping inbred lines (Badu-Apraku et al, 2013b).…”