QTL for flag leaf size and their influence on yield-related traits in wheat

Zhao, Chunhua; Bao, Yinguang; Wang, Xiuqin; Yu, Haitao; Ding, Anming; Guan, Chunhui; Cui, Junpeng; Wu, Yongzhen; Sun, Han; Li, Xingfeng; Zhai, Dongfeng; Li, Linzhi; Wang, Honggang; Cui, Fa

doi:10.1007/s10681-018-2288-y

Cited by 37 publications

(47 citation statements)

References 27 publications

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“…For FLA, nine QTLs were detected in this study. Of them, QFLA-1A, QFLA-2D, QFLA-4A and QFLA-6A were distributed on chromosomes 1A, 2D, 4A and 6A, which have been proved on these chromosomes [7,10]. It was worth mentioning that QFLA-6A was simultaneously in Lumai 14 / Jing 411 population under E2 and in Lumai 14 / Shaanhan 8675 population under E1 and E2 environments, with explaining 5.28%, 13.32% and 6.18% of the phenotypic variance, respectively.…”

Section: Comparison With Previous Resultsmentioning

confidence: 81%

“…For FLW, six QTLs were identified in this study. Among them, two QTLs, QFLW-3B and QFLW-5D, linked to the SSR marker Xwmc754 and Xcfd189 were previously found on the chromosomes 3B and 5D [7,10]. QFLW-6A was consistently mapped on chromosome 6A in two IL populations, with contributing 6.96-9.28% to the phenotypic variance in different environments, and the positive allele of the QTL was originated from donors.…”

Section: Comparison With Previous Resultsmentioning

confidence: 98%

“…The predicted genes on the location of QFLW-6A. phenotype in cereals [7,8,24,43,47]. And QTLs controlling related traits were not uniformly distributed on chromosomes, but tended to be distributed in the same or adjacent regions of the same chromosome [48][49][50].…”

Section: Relationship Between Flag Leaf-related Traits and Yield-relamentioning

confidence: 99%

“…Duwayri [5] considered that grain yield and grain number per spike decreased when flag leaves were removed. Many studies have shown that flag leaf size of wheat was positively correlated with thousand-grain weight, grain number per spike, yield per plant and other yield-related traits in cereals [6][7][8][9][10]. The longer the flag leaves maintain high chlorophyll content and photosynthesis, the stronger the assimilation ability of canopy, which provide more assimilation substances for grain filling, delay leaf senescence and ultimately increase grain yield [11][12][13].…”

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QTL mapping for flag leaf-related traits and genetic effect of QFLW-6A on flag leaf width using two related introgression line populations in wheat

et al. 2020

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The flag leaf is the main organ of photosynthesis during grain-filling period of wheat, and flag leaf-related traits affect plant morphology and yield potential. In this study, two BC 3 F 6 introgression line (IL) populations derived from the common recipient parent Lumai 14 with Jing 411 and Shaanhan 8675, respectively, were used to map quantitative trait loci (QTL) for flag leaf length (FLL), flag leaf width (FLW), flag leaf area (FLA) and chlorophyll content (CC) at flowering stage and 15 and 20 days after anthesis (DAA) in 2016-2017 (E1) and 2017-2018 (E2) two environments. A total of 14 and 15 QTLs for flag leaf-related traits were detected in Lumai 14 / Jing 411 and Lumai 14 / Shaanhan 8675 populations, respectively. Among them, Both QFLW-6A and QFLA-6A were detected in Lumai 14 / Jing 411 population under E2 and in Lumai 14 / Shaanhan 8675 population under E1 and E2 environments, respectively. QCC S2 -3A from Lumai 14 / Jing 411 population and QCC S3 -1A, QFLL-4A and QFLL-6A from Lumai 14 / Shaanhan 8675 population were repeatedly identified under two tested environments. Moreover, eight QTL clusters controlling flag leaf-related traits were identified, which provided a genetic basis for significant correlations in phenotype among these traits. On the other hand, positive alleles of QFLW-6A for FLW detected in two populations were derived from their donors. Eighteen lines and 44 lines carried this QTL were found in Lumai 14 / Jing 411 and Lumai 14 / Shaanhan 8675 populations, respectively. The means of FLW in these lines were wider than that of the recipient parent, Lumai 14, in two environments, suggesting that QFLW-6A played an important role for increasing FLW. The IL 124 in Lumai 14 / Jing 411 population and the IL 59 and IL 127 in Lumai 14 / Shaanhan 8675 population had five, five and four donor chromosomal segments which carried no other QTL controlling FLW than QFLW-6A, respectively. And the FLWs of these lines were significantly greater than that of Lumai 14 under two environments. So these lines and their donor parent can be regarded as potential near-isogenic lines. Further, a synteny analysis found QFLW-6A was near the 574,283,851-574,283,613 bp fragment on chromosome 6A and 10 genes were in the range of 500 kb upstream and downstream of the fragment. , et al. (2020) QTL mapping for flag leafrelated traits and genetic effect of QFLW-6A on flag leaf width using two related introgression line populations in wheat. PLoS ONE 15(3): e0229912.These results provide the basis for identification of candidate gene and map-based cloning and functional verification of the QTL. PLOS ONEQTL mapping for flag leaf-related traits PLOS ONE | https://doi.org/10.The linkage maps of Lumai 14 / Jing 411 and Lumai 14 / Shaanhan 8675 BC 3 F 6 populations were constructed, based on 156 and 185 polymorphic simple sequence repeat (SSR) markers, respectively [36,41]. QTL analysis for flag leaf-related traits was performed by IciMapping 4.0 PLOS ONEQTL mapping for flag leaf-related traits PLOS ONE | https://doi.org/10.

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Section: Comparison With Previous Resultsmentioning

confidence: 81%

Section: Comparison With Previous Resultsmentioning

confidence: 98%

Section: Relationship Between Flag Leaf-related Traits and Yield-relamentioning

confidence: 99%

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confidence: 99%

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QTL mapping for flag leaf-related traits and genetic effect of QFLW-6A on flag leaf width using two related introgression line populations in wheat

et al. 2020

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“…Spike length can be indicative of the number of grains developed on the rachis, and the flag leaf has long been described as an important source of photoassimilates during grain filling (Lupton, 1966). Recent studies have linked quantitative trait loci (QTL) associated with yield components to flag leaf morphology (Liu et al, 2017; Zhao et al, 2018).…”

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confidence: 99%

Multivariate Genomic Selection and Potential of Rapid Indirect Selection with Speed Breeding in Spring Wheat

et al. 2019

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Genomic selection (GS) can be effective in breeding for quantitative traits, such as yield, by reducing the selection cycle duration. Speed breeding (SB) uses extended photoperiod and temperature control to enable rapid generation advancement. Together, GS and SB can synergistically reduce the breeding cycle by quickly producing recombinant inbred lines (RILs) and enabling indirect phenotypic selection to improve for key traits, such as height and flowering time, prior to field trials. In addition, traits measured under SB (SB traits) correlated with field‐based yield could improve yield prediction in multivariate GS. A 193‐line spring wheat (Triticum aestivum L.) training population (TP), tested for grain yield in the field in multiple environments, was used to predict grain yield of a 350‐line selection candidate (SC) population, across multiple environments. Four SB traits measured on the TP and SC populations were used to derive principal components, which were incorporated into multivariate GS models. Predictive ability was significantly increased by multivariate GS, in some cases being twice as high as univariate GS. Based on these results, an efficient breeding strategy is proposed combining SB and multivariate GS using yield‐correlated SB traits for yield prediction. The potential for early indirect SB phenotypic selection for targeted population improvement prior to trials was also investigated. Plant height and flowering time showed strong relative predicted efficiency to indirect selection, in some cases as high as direct field selection. The higher selection intensity and rate of generation turnover under SB may enable a greater rate of genetic gain than direct field phenotyping.

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Photosynthetic organs contributions to grain yield genetic gains in Chilean winter wheat

2021

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Investigating the key traits associated with genetic gains in grain yield (GY) is essential for developing winter wheat (Triticum aestivum L.) breeding strategies. The study objectives were: (a) quantifying the photosynthetic contribution of flag leaf and ear to the grain filling; (b) analyzing if their contributions are associated with the genetic gains in GY; and (c) analyzing their relationship with other agronomical and physiological traits. Thus, six winter wheat genotypes of different release years were grown under optimal conditions in a greenhouse trial during 2019. Grain yield increased by 126 kg h -1 yr -1 , with the harvest index's change being the key factor affecting these gains. Compared to the control treatment, ear shading decreased ear contribution to grain filling by 16.35%, while both flag leaf and awn removal increased contribution to grain filling by 4.46 and 5.90%, respectively. Ear photosynthetic contribution estimated by source manipulation treatments showed a significant increase with the release year (0.54% yr -1 ). Whole ear gas exchange measures correlated positively with GY, and both dark respiration and gross photosynthesis showed positive correlations with the release year. The main findings of the study were: (a) GY gains in Chile were mainly due to the increased harvest index (HI), while the aerial biomass (AB) did not play a significant role in these gains; (b) the increased ear size besides the terminal heat stress during the study highlighted the ear role as the primary photosynthetic contributor to grain filling; and (c) using source manipulation techniques as an indirect selection trait for high ear photosynthesis appeared to be promising.

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QTL for flag leaf size and their influence on yield-related traits in wheat

Cited by 37 publications

References 27 publications

QTL mapping for flag leaf-related traits and genetic effect of QFLW-6A on flag leaf width using two related introgression line populations in wheat

QTL mapping for flag leaf-related traits and genetic effect of QFLW-6A on flag leaf width using two related introgression line populations in wheat

Multivariate Genomic Selection and Potential of Rapid Indirect Selection with Speed Breeding in Spring Wheat

Photosynthetic organs contributions to grain yield genetic gains in Chilean winter wheat

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