Several stably expressed QTL for spike density of common wheat (Triticum aestivum) in multiple environments

Abstract

Spike density (SD), an important spike morphological trait associated with wheat yield, is the spikelet number per spike (SNS) divided by spike length (SL). In this study, phenotypic data from eight environments were collected and a recombinant inbred line population (RIL) constructed by the wheat line 20828 and the cultivar 'Chuannong16' and a Wheat55K SNP array‐based constructed genetic linkage map were used to identify SD quantitative trait locus (QTL). Correlation between SD and other agronomic traits was calculated. Genes associated with plant growth and development for major loci were predicted. The results showed that 24 QTLs associated with SD were detected in eight environments. Among them, three major QTL, namely QSd.sicau‐5B.2, QSd.sicau‐2D.3 and QSd.sicau‐4B.1, explained up to 35.62%, 14.21% and 11.23% of phenotypic variation, respectively. The positive alleles of them were all derived from 'Chuannong16'. The significant relationships between SD and other agronomic traits were detected and discussed. Taken together, the stably expressed SD QTL under different environments identified in this study provided theoretical guidance for further fine mapping and germplasm improvement.

The Wheat 55K SNP-Based Exploration of Loci for Spikelet Number Per Spike From a Tetraploid Wheat (Triticum Turgidum L.) Recombinant Inbred Line Population Derived From a Chinese Landrace ‘ailanmai’ and a Wild Emmer Accession

“…Hence, we could identify major SNS loci in the AM RIL population. This was not uncommon in the past studies of QTL identi cation based on RIL populations [27,37].…”

“…Each plot for a single line was space-planted (0.1-m) in a single 1.5-m row with a 0.3-m of row spacing [26]. The measuring methods of partial agronomic traits were similar to Liu et al [27]: SNS was measured by calculating the spikelet number of main-spike; PH was determined by the distance from the soil surface to the tip of main-spike (excluding awns); PTN was represented by the number of productive tiller per plant; SL was counted by the length from the base to the tip of main-spike (excluding awns); KNS was measured as the kernel number of main-spike; TKW was represented by 1000 times of the average kernel weight of main-spike.…”

The 55K SNP-Based Exploration of QTL for Spikelet Number Per Spike in a Tetraploid Wheat (Triticum turgidum L.) Population: Chinese Landrace ‘Ailanmai’ × Wild Emmer

“…Each plot for a single line was space-planted (0.1-m) in a single 1.5-m row with a 0.3-m of row spacing (Ma et al, 2019b). The partial agronomic traits were measured using a method described by Liu et al (2020a). SNS was measured by calculating the spikelet number of the main-spike; PH was determined by the distance from the soil surface to the tip of the main-spike (excluding awns); PTN was represented by the number of productive tillers per plant; SL was counted by the length from the base to the tip of the main-spike (excluding awns); KNS was measured as the kernel number of the main-spike; SD was calculated by dividing the SNS by SL; TKW was represented by 1000 times of the average kernel weight of main-spike.…”

“…Each plot for a single line was space-planted (0.1-m) in a single 1.5-m row with a 0.3-m of row spacing (Ma et al 2019b). The measuring methods of partial agronomic traits were similar to Liu et al (2020a): SNS was measured by calculating the spikelet number of main-spike; PH was determined by the distance from the soil preprint (which was not certified by peer review) is the author/funder. All rights reserved.…”

Image-Based, Organ-Level Plant Phenotyping for Wheat Improvement

“…These systems predate the freeware outlined above and have been applied in many studies since their release. Like GrainScan and SmartGrain, WinSEEDLE has been used in explorations of genetic and phenotypic underpinnings of yield components in wheat [111][112][113][114][115][116]. SeedCount has seen broad use in academic research.…”