Comparative mapping of quantitative trait loci for tassel-related traits of maize in $$\hbox {F}_{2:3}$$ F 2 : 3 and RIL populations

Abstract

Tassel architecture is an important trait in maize breeding and hybrid seed production. In this study, we investigated total tassel length (TTL) and tassel branch number (TBN) in 266 F families across six environments and in 301 recombinant inbred lines (RILs) across three environments, where all the plants were derived from a cross between 08-641 and Ye478. We compared the genetic architecture of the two traits across two generations through combined analysis. In total, 27 quantitative trait loci (QTLs) (15 in F; 16 in RIL), two QTL × environment interactions (both in F), 11 pairs of epistatic interactions (seven in F; four in RIL) and four stable QTLs in both the F and RILs were detected. The RIL population had higher detection power than the F population. Nevertheless, QTL × environment interactions and epistatic interactions could be more easily detected in the F population than in the RILs. Overall, the QTL mapping results in the F and RILs were greatly influenced by genetic generations and environments. Finally, fine mapping for a novel and major QTL, qTTL-2-3 (bin 2.07), which accounted for over 8.49% of the phenotypic variation across different environments and generations, could be useful in marker-assisted breeding.

Genetic mapping and confirmation of the Rdm3 locus underlying resistance to southern stem canker in soybean

“…With the linkage maps being made based on the recombination of two separate populations developed from the same initial cross, a slight difference in the peak markers for the QTLs is most likely due to the difference in recombination that was observed in the RIL and F 2:3 populations. The same phenomenon was also observed in the study by Yi et al (2018) for tassel-related traits in maize (Zea mays) where the QTL mapping was performed in both the RIL and F 2:3 populations. Yi et al (2018) stated that the discrepancies in QTL locations in this study were due to different recombination in the two populations.…”

QTL Analysis of Five Morpho-Physiological Traits in Bread Wheat Using Two Mapping Populations Derived from Common Parents

“…The low density of markers could affect the QTL analysis in the RIL populations [12,82]. Indeed, Yi et al [83], in a previous study, which included QTLs consistency across generations derived from the same cross, suggested that results largely depend on many factors including generations, environment, and genetic backgrounds.…”

QDtbn1, an F‐box gene affecting maize tassel branch number by a dominant model

“…Genes ( ra1 , ra2 , ra3 , fea2 , td1 , tb1 , bd1 and so on) and a number of QTLs (about 124) for tassel branches identified with mutants or various populations have been greatly increased the understanding of its development in maize (Berke and Rocheford, 1999; Mickelson et al ., 2002; Upadyayula et al ., 2006a, b; Briggs et al ., 2007; Chen et al ., 2014, 2017; Yang et al . (2014; Wu et al ., 2019; Yi et al ., 2018). Particularly, maize has rich genetic diversity and rapid linkage disequilibrium attenuation.…”