Validation of QTL for Grain Yield‐Related Traits on Wheat Chromosome 3A Using Recombinant Inbred Chromosome Lines

Abstract

Previously, quantitative trait loci (QTLs) for grain yield (GYLD) and yield-related traits were identified by using a population of recombinant inbred chronnosome lines (RICLs) developed from the wheat {Triticum aestivum L.) eultivar Cheyenne (CNN) and its substitution line CNN(WI3A), in which the 3A chromosome of eultivar Wichita (Wl) was substituted for CNN chromosome 3A. Our objectives were to identify and validate the QTL previously identified in CNN(RICLs3A), using the mirror population WI(RICLs3A). A population of 90 WI(RICLs3A) was used to evaluate GYLD, 1000-kernel weight (TKW), kernels per spike (KPS), kernels per square meter (KPSM), spikes per square meter (SPSM), grain volume weight (GVW), plant height (PHT), and anthesis date (AD). Data were collected from replicated trials grown in six Nebraska environments from 2008 to 2009. Twelve QTL for GYLD, TKW, KPS, SPSM, GVW, AD, and PHT were detected. The phenotypic variance explained by these QTL ranged from 12% for SPSM to 53% for GVWT Most of the QTLs were co-localized in one or two regions of chromosome 3A. The major grain yield QTL {QGyld.neb.3A.1) detected in the combined analysis explained 19% of the phenotypic variance and the substitution of CNN alíeles for Wl alíeles decreased grain yield. Using a different genetic background, this study confirmed most of the GYLD and yield-related QTL reported in previous RICLs3A mapping studies on chromosome 3A of winter wheat evaluated in Nebraska. N. Mengistu, Pioneer Hi-Bred

Genetic Dissection of Yield and Its Component Traits Using High-Density Composite Map of Wheat Chromosome 3A: Bridging Gaps between QTLs and Underlying Genes

“…However, in the present field data analysis a QTL for SPSM was found associated with Xgwm218 . Interestingly, presence of overlapping QTLs identified in the present and the earlier studies was validated by the analysis of the ‘mirror population’, where the QTLs for GVWT, SPSM, and PH were found associated with Xgwm218 [14]. Similarly a QTL for HD in the marker interval wPt2698-wPt2740 was detected using greenhouse data, however no QTL for HD was detected in the same marker interval using the field data.…”

“…Localization of these QTLs was later reconfirmed by the use of a mirror population WI(CNN3A) of 90 RICLs [14]. As in previous studies, QTLs for various yield components co-localized to the two chromosomal regions.…”

“…The same marker-interval was associated with KPSM, GY, and SPSM in the earlier studies conducted using the same mapping population, and was designated as region 2 [10]–[12]. Presence of the coincident QTLs in this region was also observed using a ‘mirror population’ of 90 RICLs, which was derived from a cross between WI and one of its substitution lines, WI(CNN3A) [14].…”

<b>Identification of QTL underlying agronomic, morphological and physiological traits in barley under rainfed conditions using SNP markers

“…However, in the present study, three significant QTLs were associated with TKW on chromosomes 2H and 4H, which explained between 5.2 and 5.7% of the phenotypic variation. This result can be explained by TKW being influenced by the environmental conditions that occur during the grain filling period when the crop is more susceptible to drought (Mengistu et al, 2012). The QTL detected for TKW on chromosome 2H at ~45 cM has been reported on a similar position in other studies (Rode et al, 2012;Kalladan et al, 2013).…”

Development, identification and utilization of introgression lines using Chinese endemic and synthetic wheat as donors

“…Because the same markers were used in some of those studies, we can compare our results to the previous studies directly. In this study, wmc640‐wmc695 on chromosome 3A was identified as a QTL for PH, which was consistent with the location of QPht.idw – 3A (Campbell et al ; Dilbirligi et al ; Mengistu et al ). The QTL represented by gwm156 controlling PH and GNS was also consistent with a known locus (Table ) (Liu et al ; Maccaferri et al ; Gegas et al ).…”