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Correlation coefficients for uppermost-internode diameter (UID) with uppermost-internode length (UIL), plant height (PH), anthesis date (AD), spikelet number per spike (SNS), spike length (SL), productive tiller number (PTN), thousand-grain weight (TGW), flag leaf length (FLL), and flag leaf width (FLW)
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Uppermost-internode diameter (UID) is a key morphological trait associated with spike development and yield potential in wheat. Our understanding on its genetic basis remains largely unknown. Here, quantitative trait loci (QTLs) for UID with high-density genetic maps were identified in five wheat recombinant inbred line (RIL) populations. In total,...
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Context 1
... for UID were collected at Chongzhou (CZ, 103°38´E, 30°32´N), Wenjiang (WJ, 103°51´E, 30°43´N) and Ya'an (YA, 103°0´E, 29°58´N population was measured based on plants grown in 2017 at CZ and in 2018 at CZ. UID for the SC population was measured in 2017 at CZ, in 2018 at CZ, in 2018 at YA, in 2019 at CZ and in 2019 at YA. UID for the AS population was measured in 2017 at CZ, in 2018 at CZ and in 2019 at CZ. Each plot was 1.5 m long with a row spacing of 30 cm, and 15 seeds were sown per plot with 0.1 m between plants within a row. ...Context 2
... explore the relationships between UID and other agronomic traits including UIL, PH, AD, SNS, SL, PTN, TGW, FLL, and FLW, we conducted Pearson's correlation analysis using BLUP datasets ( Table 2). The results showed that significant and positive correlations (P<0.01) were observed between UID and UIL (for 2CN population ), PH (for 2CN), AD (for 2CN), SNS (for 2CN and 2SY), SL (for 2CN), PTN (for 2CN), FLL (for 2CN and 2SY), and FLW (for 2CN and 2SY); significant and negative correlations (P<0.01) were detected between UID and PTN (for 2SY) (P<0.01); and no significant correlations (P>0.05) were detected between UID and these agronomic traits in other populations. ...Context 3
... the present study, the Pearson's correlations based on BLUP dataset were analyzed to exclude environmental effects and the results were more stable and accurate (Piepho et al. 2008). Significant and positive correlations between UID and UIL, PH, AD, SNS, SL, PTN, TGW, FLL, and FLW were observed in different environments (Table 2). As previously reported, Liu et al. (2008) showed that UID was significantly and positively correlated with PH, SL, SNS, and TGW in rice. ...Similar publications
Key message
A 448 kb region on chromosome B02 was delimited to be associated with trichome trait in Brassica juncea, in which the BjuVB02G54610 gene with a structural variation of 3 kb structure variation (SV) encoding a MYB transcription factor was predicted as the possible candidate gene.
Abstract
Mustards (Brassica juncea) are allopolyploid cro...
Citations
... The previously constructed genetic linkage map using the 1978 DArT markers [24] was adopted for QTL analysis. QTL analysis was carried out as described previously [25]. ...
A well-developed root system plays a positive role in wheat yield. Here, we identified quantitative trait loci (QTL) for total root length (TRL), root average diameter (RD) and number of root tips (RTN) based on the previously developed genetic map of a recombinant inbred line (RIL) population in bread wheat and phenotype data from two individual trials. A stable and major QTL, Qtrl-AS-5A for TRL was detected explaining 17.19 to 17.78% of the phenotypic variation. It was physically located at 680.66-683.25 Mb (∼2.59 Mb interval) on chromosome arm 5AL. Two stably expressed QTLs for RD, Qrd-AS-4A and Qrd-AS-6B, were identified. The phenotype variances explained for them were between 5.11 to 5.43% and 17.42 to 22.40%, respectively. They were physically located at 621.74 Mb-621.93 Mb (∼0.19 Mb) on 4AL and 624.01 − 624.78 Mb (∼0.77 Mb) on 6BL, respectively. One unstably expressed QTL for RN was identified only. Genetic analysis suggested that the two major and stably expressed QTLs, Qtrl-AS-5A and Qrd-AS-6B, were not likely associated with plant height and anthesis date. Comparison analysis indicated that they may be novel loci. Several candidate genes which were mainly expressed in roots were also obtained. Collectively, these results provided several major and stably expressed QTLs for root traits and they should have breeding potential.
The spikelet number per spike (SNS) contributes greatly to grain yield in wheat. Identifying various genes that control wheat SNS is vital for yield improvement. This study used a recombinant inbred line population genotyped by the Wheat55K single-nucleotide polymorphism array to identify two major and stably expressed quantitative trait loci (QTLs) for SNS. One of them (QSns.sau-2SY-2D.1) was reported previously, while the other (QSns.sau-2SY-7A) was newly detected and further analyzed in this study. QSns.sau-2SY-7A had a high LOD value ranging from 4.46 to 16.00 and explained 10.21–40.78% of the phenotypic variances. QSns.sau-2SY-7A was flanked by the markers AX-110518554 and AX-110094527 in a 4.75-cM interval on chromosome arm 7AL. The contributions and interactions of both major QTLs were further analyzed and discussed. The effect of QSns.sau-2SY-7A was successfully validated by developing a tightly linked kompetitive allele specific PCR marker in an F2:3 population and a panel of 101 high-generation breeding wheat lines. Furthermore, several genes including the previously reported WHEAT ORTHOLOG OF APO1 (WAPO1), an ortholog of the rice gene ABERRANT PANICLE ORGANIZATION 1 (APO1) related to SNS, were predicted in the interval of QSns.sau-2SY-7A. In summary, these results revealed the genetic basis of the multi-spikelet genotype of wheat line 20828 and will facilitate subsequent fine mapping and breeding utilization of the major QTLs.
Spike density (SD) is an agronomically important character in wheat. In addition, an optimized spike structure is a key basis for high yields. Identification of quantitative trait loci (QTL) for SD has provided a genetic basis for constructing ideal spike morphologies in wheat. In this study, two recombinant inbred line (RIL) populations (tetraploid RIL AM and hexaploid RIL 20828/SY95-71 (2SY)) previously genotyped using the wheat55K SNP array were used to identify SD QTL. A total of 18 QTL were detected, and three were major and one was stably expressed (QSd.sau-2SY-7A.2, QSd.sau-AM-5A.2, QSd.sau-AM-7B, and QSd.sau-2SY-2D). They can explain up to 23.14, 19.97, 12.00, and 9.44% of phenotypic variation, respectively. QTL × environment and epistatic interactions for SD were further analyzed. In addition, pyramiding analysis further revealed that there were additive effects between QSd.sau-2SY-2D and QSd.sau-2SY-7A.2 in 2SY, and QSd.sau-AM-5A.2 and QSd.sau-AM-7B in AM. Pearson’s correlation between SD and other agronomic traits, and effects of major or stable QTL on yield related traits indicated SD significantly impacted spike length (SL), spikelet number per spike (SNS) and kernel length (KL). Several genes related to spike development within the physical intervals of major or stable QTL were predicted and discussed. Collectively, our research identified QTL with potential applications for modern wheat breeding and broadening the genetic basis of SD.
