QTL mapping of grain quality traits in rice

Jue, Lou; Chen, Liang; Yue, G. H.; Lou, Qiaojun; Mei, Hanwei; Xiong, Liang; Luo, Lijun

doi:10.1016/j.jcs.2009.04.005

Cited by 86 publications

(69 citation statements)

References 27 publications

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“…However, in this study, no QTL was identified syntenic with GS5, GW2, and GW8 loci or located at their vicinity (Song et al, 2007;Wang et al, 2012). Such phenomenon also observed in the other two study cases (Lou et al, 2009;Bai et al, 2010). This indicates that different genetic background, different mapping population, and different methods for QTL analysis may result in such discrepancy observed among different reports.…”

Section: Discussioncontrasting

confidence: 55%

“…The other two clustered QTLs qGW-3 and qLWR-3b, were mapped at the interval RM14391-M023 on chromosome 3. Interestingly, cloned locus GS3 and several fine-mapped loci GW3, GW3.1, qGL3a, and qGL-3 in previous reports, were located in this region (Huang et al, 2013;Lou et al, 2009). These suggest that the hotspot identified in different research reports might be harbored a pleiotropic QTL for grain length, width and grain weight ( Figure 4; Table 4; Supplement Figure 3).…”

Section: Discussionmentioning

confidence: 66%

“…Grain size related traits have been received attention increasingly since 1990s. A great number of QTLs have been identified for rice grain size and shape by using different mapping populations (Bai et al, 2010(Bai et al, , 2012Huang et al, 2013;Lou et al, 2009). However, most mapping populations used in those studies derived from crossing between medium grain size parents (Bai et al, 2010).…”

Section: Discussionmentioning

confidence: 99%

“…Rice grain yield is determined by grain weight, number of grains per panicle, and number of panicles per plant (Fan et al 2006). Wherein, grain weight is determined by grain size, which defined as the combination of sever al grain associated characters, including grain length (GL), grain width (GW), grain thickness (GT), and length to width ratio (LWR) (Lou et al, 2009). In breeding application, rice grain size is significantly correlated with grain weight, and therefore, usually being used to evaluate grain weight, as defined by 1000-grain weight (TGW) (Zuo and Li, 2014).…”

Section: Introductionmentioning

confidence: 99%

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Quantitative Trait Locus Analysis for Grain Size Related Traits of Rice

Zeng¹,

Cai²,

Wang³

et al. 2016

mpb

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Grain shape and size, which are characterized by grain length, grain width, grain thickness, and length to width ratio, are the key determinants of grain weight. In this study, a 188-individual F 2 population, which derived from a cross between large grain Indica cultivar Nangyangzhan and medium grain Indica cultivar Ce253, were used to analyze grain size related QTLs with 110 molecular markers. Inclusive Composite Interval Mapping (ICIM), was applied to genome-wide detection of QTLs underlying grain size related traits. For grain length, 4 QTLs were detected on chromosome 1, 3, 4, and 9, respectively. qGL-3, a major effect QTL, explained 27.60% phenotypic variation of grain length. Four QTLs for grain width were detected on chromosome 2, 3, and 5. Among them, qGW-5a was major QTL for grain width, which explained 21.30% of phenotypic variation. Five QTLs for length to width ratio, which were distributed on chromosome 2, 3, 5, and 12, were identified. The range of their phenotypic contribution varied from 8.60% to 16.86%. For TGW QTLs, only two were identified on chromosome 5 and 6, respectively, with which 13.26% and 9.04% phenotypic contribution. In our results, qGL-4 and qGL-9 for grain length were novel loci. They have not seen reported in literature previously. Our results shed new light on further fine mapping and understanding the molecular genetic mechanism of novel gra in size QTLs.

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Section: Discussioncontrasting

confidence: 55%

Section: Discussionmentioning

confidence: 66%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Quantitative Trait Locus Analysis for Grain Size Related Traits of Rice

Zeng¹,

Cai²,

Wang³

et al. 2016

mpb

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“…Interestingly, this study also found that there was no correlation between PC and grain size. In a previous study, Lou et al [34] stated that there was no significant correlation between AC and other quality traits.…”

Section: Discussionmentioning

confidence: 94%

Identification of Phenotypic Variation and Genetic Diversity in Rice (Oryza sativa L.) Mutants

Anh

Khanh

Dat³

et al. 2018

Agriculture

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Abstract:In this study, phenotypic variation and genetic diversity, important factors to decide germplasm for rice breeding, were evaluated among 15 rice mutants attained from the MNU (N-Nitroso-N-methylurea) mutation. The correlation coefficient values among these phenotypic characteristics were calculated. The results showed that full grain number per plant was the most relevant factor contributing to grain yield per plant, and grain length to width ratio was the key parameter affected to amylose content. Furthermore, the genetic variation among mutants was estimated by Simple Sequence Repeat (SSR) markers related to amylose content trait. Fifty-six polymorphism markers covering across eleven rice chromosomes were recorded with an average of 3.02 alleles per locus. The average value of polymorphism information content was 0.47. By using the unweighted pair group method with arithmetic mean (UPGMA) clustering, four clusters were generated with the genetic similarities ranging from 0.52 to 0.91. The variation among groups was 34%, while the variation among individuals within groups was 66%. Findings of this study provided useful genetic background and phenotypic information of collected rice mutants to breed rice cultivars with improved quality.

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