Identification of a major stable QTL for spikelet number in wheat (Triticum aestivum L.) and its genetic effects analysis on yield-related traits

Cao, Mingsu; Dong, Jizi; Wang, Hao; Cai, Yibiao; Ma, Tianhang; Zhou, Xiaohan; Xiao, Jingguo; Li, Shihui; Chen, Linqu; Xu, Huiyuan; Zhao, Chunhua; Wu, Yongzhen; Sun, Han; Ji, Jun; Cui, Fa; Qin, Ran

doi:10.1007/s10681-022-03050-8

Cited by 7 publications

(8 citation statements)

References 54 publications

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“…The high nitrogen (HN) environments were located in the following places: 2011–2012 in Shijiazhuang (E2-HN), 2012–2013 in Shijiazhuang (E4-HN), 2012–2013 in Beijing (E6-HN), 2012–2013 in Xinxiang (E8-HN), and 2013–2014 in Shijiazhuang (E10-HN). Detailed information regarding soil nitrogen content, experimental design, etc., can be found in our previous reports [ 4 , 26 – 30 ]. The natural mapping population consisted of 316 breeding varieties/advanced lines and was planted in four environments for phenotype evaluation: 2020–2021 in Shijiazhuang, 2020–2021 in Weifang, 2020–2021 in Pulagu, and 2020–2021 in Yantai, China.…”

Section: Methodsmentioning

confidence: 54%

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Characterization of a wheat stable QTL for spike length and its genetic effects on yield-related traits

Ding,

Wang,

Cai

et al. 2024

BMC Plant Biol

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Spike length (SL) is one of the most important agronomic traits affecting yield potential and stability in wheat. In this study, a major stable quantitative trait locus (QTL) for SL, i.e., qSl-2B, was detected in multiple environments in a recombinant inbred line (RIL) mapping population, KJ-RILs, derived from a cross between Kenong 9204 (KN9204) and Jing 411 (J411). The qSl-2B QTL was mapped to the 60.06–73.06 Mb region on chromosome 2B and could be identified in multiple mapping populations. An InDel molecular marker in the target region was developed based on a sequence analysis of the two parents. To further clarify the breeding use potential of qSl-2B, we analyzed its genetic effects and breeding selection effect using both the KJ-RIL population and a natural mapping population, which consisted of 316 breeding varieties/advanced lines. The results showed that the qSl-2B alleles from KN9204 showed inconsistent genetic effects on SL in the two mapping populations. Moreover, in the KJ-RILs population, the additive effects analysis of qSl-2B showed that additive effect was higher when both qSl-2D and qSl-5A harbor negative alleles under LN and HN. In China, a moderate selection utilization rate for qSl-2B was found in the Huanghuai winter wheat area and the selective utilization rate for qSl-2B continues to increase. The above findings provided a foundation for the genetic improvement of wheat SL in the future via molecular breeding strategies.

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Section: Methodsmentioning

confidence: 54%

“…Spike length (SL) is an important component of spike morphology in wheat and has an important influence on yield [ 2 , 4 ]. Previous reports have indicated that SL was usually closely correlated with spike compactness (SCN), thousand kernel weight (TKW), and grain yield per plant (GYPP) [ 5 – 9 ].…”

Section: Introductionmentioning

confidence: 99%

Characterization of a wheat stable QTL for spike length and its genetic effects on yield-related traits

Ding,

Wang,

Cai

et al. 2024

BMC Plant Biol

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“…The genotypes of KN9204, J411 and 187 KJ-RILs were scored by wheat 660K SNP array, and the genotypes of the 314 accessions in the natural mapping population were identi ed by Wheat 55K SNP array (Cui et al 2017;Cao et al 2022). A high-density genetic linkage map with 119566 loci has been documented in our previous study (Cui et al 2017).…”

Section: Linkage Map Construction and Qtl Detectionmentioning

confidence: 99%

“…A high-density genetic linkage map with 119566 loci has been documented in our previous study (Cui et al 2017). In this study, physical map was used to perform QTL analysis (Cao et al 2022). QTL detection was conducted using inclusive composite interval mapping by IciMapping 4.1 based on stepwise regression of simultaneous consideration of all marker information (http://www.isbreeding.net/).…”

Section: Linkage Map Construction and Qtl Detectionmentioning

confidence: 99%

“…Using a natural mapping population as reported by Cao et al (2022), two SNP markers of AX-110565536 (AA/GG) (KN5D:0.36 Mb) and AX-89390905 (AA/GG) (KN5D:0.92 Mb) that were close linked to qSnpp-KJ-5D.1 and qMtn-KJ-5D.1 were selected for the genetic effect analysis on yield-related traits. Lines with Hap-GG-GG identical to J411 was de ned as excellent haplotype, and Hap-AA-AA haplotype identical to KN9204 was de ned as non-excellent haplotype; lines with the Hap-GG-AA or Hap-AA-GG haplotype was de ned as the recombinants.…”

Section: Qtl For Ebtrmentioning

confidence: 99%

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QTL detection for three tiller-related traits and their effects on yield in wheat (Triticum aestivum L.)

Cai

Zhou

Wang

et al. 2023

Preprint

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Tiller related traits play important roles in determining yielding potential in wheat. It is of great value to elucidate the genetic basis of tiller number for the genetic improvement of wheat yield. In the present study, a recombinant inbred lines (RILs) mapping population derived from the cross between Kenong 9204 (KN9204) × Jing 411 (J411) (denoted by KJ-RILs) was used for quantitative trait locus (QTL) analysis of three tiller related traits. A total of 78 putative additive QTLs for spike number per plant (SNPP), the maximum tiller number (MTN) and ear-bearing tiller rate (EBTR) were detected in eight different environments. Among them, 12 repeatable QTL might be novel QTL that were firstly documented in the present study. The genetic effect analysis of two co-located major stable QTL, i.e., qSnpp-KJ-5D.1 and qMtn-KJ-5D.1, on yield-related traits were characterized. Moreover, the favored alleles of qSnpp-KJ-5D.1 and qMtn-KJ-5D.1 have been undergone selection in wheat breeding programs; its future application potential in the genetic improvement of yield based on molecular breeding technology was evaluated. The candidate genes underlying qMtn-KJ-5D.1 were predicated based on multi-omics data information, and TraesKN5D01HG00080 is likely to be its candidate gene. Overall, our findings will be useful for elucidating the genetic architecture of tiller-related traits and developing novel wheat varieties with high yield.

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A major QTL simultaneously increases the number of spikelets per spike and thousand-kernel weight in a wheat line

Zhao,

Zhou,

et al. 2023

Theor Appl Genet

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Identification of a major stable QTL for spikelet number in wheat (Triticum aestivum L.) and its genetic effects analysis on yield-related traits

Cited by 7 publications

References 54 publications

Characterization of a wheat stable QTL for spike length and its genetic effects on yield-related traits

Characterization of a wheat stable QTL for spike length and its genetic effects on yield-related traits

QTL detection for three tiller-related traits and their effects on yield in wheat (Triticum aestivum L.)

A major QTL simultaneously increases the number of spikelets per spike and thousand-kernel weight in a wheat line

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