QTL analysis of kernel shape and weight using recombinant inbred lines in wheat

Abstract

Quantitative trait locus (QTL) analysis of kernel shape and weight in common wheat was conducted using a set of 131 recombinant inbred lines (RIL) derived from 'Chuan 35050' 9 'Shannong 483'. The RIL and their two parental genotypes were evaluated for kernel length (KL), kernel width (KW), thousand-kernel weight (TKW), and test weight (TW) in four different environments. Twenty QTL were located on 12 chromosomes, 1A, 1B, 1D, 2A, 2B, 3B, 4A, 4B, 5D, 6A, 6B, and 7B, with single QTL in different environments explaining 5.9-26.4% of the phenotypic variation. Six, three, four, and seven QTL were detected for KL, KW, TKW, and TW, respectively. The additive effects for 17 QTL were positive with Chuan 35050 increasing the QTL effects, whereas the remaining three QTL were negative with Shannong 483 increasing the effects. Eight QTL (40%) were detected in two or more environments. Two QTL clusters relating to KW, TKW, and TW were located on chromosomes 2A and 5D, and the co-located QTL on chromosome 6A involved a QTL for KW found in two environments and a QTL for TKW detected in four environments.

Association between Grain Size and Shape and Quality Traits, and Path Analysis of Thousand Grain Weight in Iranian Bread Wheat Landraces from Different Geographic Regions

“…Similar to the results of other researchers (Huang et al, 2006;Sun et al, 2009;Tsilo et al, 2010;Blanco et al, 2012 andPatil et al, 2013), the grain yield with the lowest heritability, more than other traits had influenced by environmental factors. By contrast, other traits were less environmentally sensitive and have higher heritability than Table 8.…”

“…The high significant differences (P < 0.001) among genotypes for all traits indicating the presence of adequate variability among the bread wheat local landraces which can be used for the improvement of grain weight and quality in order to create high yielding varieties with good end-use quality. Though compare the measures for traits such as grain size and shape in different studies because of different approaches to converting raw images into quantitative data is not completely correct, differences between high and low level for the most traits in this study are more in compared with other studies such as Sun et al (2009),Tsilo et al (2010, Jia et al (2013) and Zhang et al (2015). Due to the high diversity, it seems can find suitable genotypes with high and low limit bounds for two or more traits as versus each other.…”

“…TGW is positively correlated with agronomic yield (Baril 1992;Fuller, 2007;Maccaferri et al, 2011) and flour yield (Chasten et al, 1995;Breseghello and Sorrells, 2006;Williams et al, 2013). Moreover, the high heritability values (59% to 96%) in most of the cultivars studied so far have proved that this character is phenotypically the most-stable yield component (Giura and Saulescu, 1996;Huang et al, 2006;Sun et al, 2009;Tsilo et al, 2010;Patil et al, 2013). Therefore, together with the number of seeds per square meter, improved TGW is one of the main targets of wheat breeding activities.…”

A Genetic Framework for Grain Size and Shape Variation in Wheat

“…Grain length was negatively affected by chromosome 1A in a disomic population derived from a cross between long and short grain parental lines (Giura and Saulescu, 1996). A QTL for grain length was identified in a recombinant inbred line population between two Chinese winter elite varieties at an equivalent chromosomal position on 1A as the QTL in BxS, SpxR, and SaxR reported in this study (Sun et al, 2009).…”

“…Previous studies used a limited number of metrics that were analyzed discretely largely in single mapping populations (Giura and Saulescu, 1996;Campbell et al, 1999;Dholakia et al, 2003;Breseghello and Sorrels, 2007;Sun et al, 2009). This approach identifies only pairwise associations between traits and single-trait genetic effects; therefore, it is limited in providing a comprehensive model for the phenotypic and genetic structure of the quantitative traits.…”