RFLP mapping of QTLs for yield and related characters in rice (Oryza sativa L.)

Lin, Haiyan; Qian, H.-R.; Zhuang, Jie-Yun; Lü, Jun; Min, Shao; Zhou, Xiong; Huang, Ning; Kangle, Zheng

doi:10.1007/bf00224031

Cited by 148 publications

(75 citation statements)

References 25 publications

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“…Results from the latter QTL analysis showed the presence of a genomic region affecting both FLL and FLW on chromosome 4 and regions affecting the flag leaf trait at only one location on chromosomes 2, 4, 6, 9, 11 and 12. These regions, which have multiple effects or are expressed by a particular environment, possibly play important roles in the genetic control of flag leaf development (Li et al 1995, Lin et al 1996, Yan et al 1999. Further studies should be carried out to locate and characterize such regions using different mapping populations.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Trait Loci Affecting Flag Leaf Development in Rice (Oryza sativa L.)

et al. 2003

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One hundred and ninety-one recombinant inbred lines (RILs) (F 7 ) derived from a cross between Milyang 23 (M23) and Akihikari (AK) were grown in 1997 in Joetsu, Japan (temperate zone), and during the 2000-01 dry and wet seasons (four consecutive seasons) in Los Baños, Philippines (tropical zone) to detect quantitative trait loci (QTLs) for flag leaf length, width and angle (FLL, FLW and FLA) of rice (Oryza sativa L.). The detected QTLs suggested that flag leaf development was influenced by nine genomic regions categorized into three groups. In Group I, three regions (chromosomes 1, 4 and 6) increased both FLL and FLW. The QTL profiles showed that the effects of these three regions were powerful and stable across locations. Especially, the effect of the region on chromosome 4 (the nearest RFLP marker, XNpb235) accounted for 9-17 % and 20-26 % of the FLL and FLW variances, respectively. In Group II, four regions (chromosomes 2, 3, 10 and 11) affected FLL, whereas in Group III, two regions (chromosomes 8 and 12) affected FLW. The detection pattern of QTLs showed that three regions in Groups II and III (chromosomes 3, 10 and 12) were expressed by the growth conditions of Los Baños. No region with a clear effect on FLA was identified, although this trait was segregated largely in the RILs. By characterizing the nine regions in detail, this paper elaborates on the genetic factors and mechanisms controlling flag leaf development.

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Section: Introductionmentioning

confidence: 99%

Quantitative Trait Loci Affecting Flag Leaf Development in Rice (Oryza sativa L.)

et al. 2003

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“…QTL analysis has been used to study many agronomic traits in rice (Yano et al 1995, Lin et al 1996, Wu et al 1996, Xiao et al 1996, Zhuang et al 1997, Redoña and Mackill 1998, Xiao et al 1998, Moncada et al 2001. Although sterile spikelets were investigated in those reports, very few studies have dealt with the ripening percentage, which is important for determining economical grain yields.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Trait Loci for Sink Size and Ripening Traits in Rice (Oryza sativa L.).

et al. 2002

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Quantitative trait loci (QTLs) that affect sink size and ripening, which are often negatively correlated, were analyzed in two inbred lines of rice (Oryza sativa L.) derived from crosses between the semi-dwarf indica and japonica cultivars. Recombinant inbred lines (RILs) from Milyang23 (indica)/Akihikari (japonica), and back-crossed inbred lines (BCILs) from Sasanishiki (japonica)/Habataki(indica)//Sasanishiki///Sasanishiki were studied over a period of two years. A major QTL that was related to the number of spikelets per panicle was found in the same region of chromosome 1 in both populations. The indica allele increased the number of spikelets and reduced the ripening percentage. The indica allele of the QTL, which was found in both populations but at different locations on chromosome 6, also increased the number of spikelets per panicle, although to a lesser extent than in the case of the QTL on chromosome 1. In this instance, the number of spikelets per panicle did not have a negative effect on the ripening percentage. The increased number of spikelets produced by the QTL on chromosome 6 was due mainly to an increase in the number of primary rachis branches. In contrast, the effect of the QTL on chromosome 1 relied on an increase in the number of secondary rachis branches. In addition, dry matter production tended to increase when the QTL region of chromosome 6 belonged to the indica genotype. Therefore, both panicle structure and source productivity might contribute to the increase of the sink size without reducing the ripening percentage. We also found two loci on chromosomes 11 and 12 of the RILs that were associated with the percentage of incompletely filled spikelets, but which did not affect the sink size. It is considered that these QTLs could contribute significantly to the breeding of cultivars with increased sink size and increased ripening.

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“…The QTL identified by Redoña and Mackill (1998) on chromosome 8 might be allelic to a locus near RM23230 in this study. However other QTLs by Redoña and Mackill (1998), Xiao et al (1996), and Lin et al (1996) on chromosome 4 were not associated with any of the markers detected. QTLs detected on chromosome 3 were found to affect four traits of the five investigated traits namely; grain width, ratio of grain length to width, grain-thickness, and 1,000-grain weight (Yan et al 2014).…”

Section: Discussionmentioning

confidence: 67%

Identification of Quantitative Trait Loci Associated with Grain Shape Using Cheongchenong/Nagdong Double Haploid Lines in Rice

Wacera

Lee

Kim

2016

Plant Breed. Biotech.

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This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. ABSTRACT We performed a molecular marker-based analysis of quantitative trait loci (QTLs) for the traits that determine appearance quality of the grains using 120 double haploid (DH) lines developed by anther culture from F1 hybrid of a cross between Cheongcheong (Oryza sativa L. ssp. Indica) and Nagdong (Oryza sativa L. ssp. Japonica). The traits studied included grain length, grain width, grain thickness, length to width ration and thousand grain weight. This experiment was conducted with two replications of 2013 and 2014. A linkage map with 217 DNA markers was constructed spanning across 2,067.1 centiMorgans (cM) at an average interval of 9.5 cM between markers and covering 12 rice chromosomes. Interval mapping procedure was used to identify the QTLs controlling five grain traits and QTLs detected were further confirmed using composite interval mapping. A total of 24 QTLs affecting grain appearances were identified and mapped on all the twelve chromosomes for 2 years at grain quality. Nine of the 24 QTLs were reproducibly detected in two year trials. Major QTL for grain length was detected on chromosome 5 in 2013 with a phenotypic variation of 64% and chromosome 7 in 2014 that explained 55% of the phenotypic variation. The QTL findings in this study will in future faciltate the gene isolation and breeding application for improvement of rice grain shape and yield.

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RFLP mapping of QTLs for yield and related characters in rice (Oryza sativa L.)

Cited by 148 publications

References 25 publications

Quantitative Trait Loci Affecting Flag Leaf Development in Rice (Oryza sativa L.)

Quantitative Trait Loci Affecting Flag Leaf Development in Rice (Oryza sativa L.)

Quantitative Trait Loci for Sink Size and Ripening Traits in Rice (Oryza sativa L.).

Identification of Quantitative Trait Loci Associated with Grain Shape Using Cheongchenong/Nagdong Double Haploid Lines in Rice

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