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

Lin, H.-X.; Qian, H.-R.; Zhuang, Jie‐Yun; Lü, Jing; Min, Shaokai; Zhou, Xiong; Huang, Ning; Zheng, Kl

doi:10.1007/s001220050212

Cited by 16 publications

(2 citation statements)

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“…Further, qIGS3.2 and qIGS4.1 was novel as no QTL for panicle density or inter-grain space has been detected previously in the associated QTL region. Previously, QTL on chromosome 1 named sf1 associated with spikelet fertility in the region of 34,264,553 bp–36,658,883 bp and on chromosome 6, QTL for spikelet density named sd6 in the region of 6,023,974 bp–9,537,572 bp have been identified 40 . These QTLs are present in the marker region of detected QTLs qIGS6.1 and qIGS6.2 .…”

Section: Discussionmentioning

confidence: 99%

Identification of novel QTLs for grain fertility and associated traits to decipher poor grain filling of basal spikelets in dense panicle rice

Sekhar

Kumar

Mohanty

et al. 2021

Sci Rep

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High grain number is positively correlated with grain yield in rice, but it is compromised because of poor filling of basal spikelets in dense panicle bearing numerous spikelets. The phenomenon that turns the basal spikelets of compact panicle sterile in rice is largely unknown. In order to understand the factor(s) that possibly determines such spikelet sterility in compact panicle cultivars, QTLs and candidate genes were identified for spikelet fertility and associated traits like panicle compactness, and ethylene production that significantly influences the grain filling using recombinant inbred lines developed from a cross between indica rice cultivars, PDK Shriram (compact, high spikelet number) and Heera (lax, low spikelet number). Novel QTLs, qSFP1.1, qSFP3.1, and qSFP6.1 for spikelet fertility percentage; qIGS3.2 and qIGS4.1 for panicle compactness; and qETH1.2, qETH3.1, and qETH4.1 for ethylene production were consistently identified in both kharif seasons of 2017 and 2018. The comparative expression analysis of candidate genes like ERF3, AP2-like ethylene-responsive transcription factor, EREBP, GBSS1, E3 ubiquitin-protein ligase GW2, and LRR receptor-like serine/threonine-protein kinase ERL1 associated with identified QTLs revealed their role in poor grain filling of basal spikelets in a dense panicle. These candidate genes thus could be important for improving grain filling in compact-panicle rice cultivars through biotechnological interventions.

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Section: Discussionmentioning

confidence: 99%

Identification of novel QTLs for grain fertility and associated traits to decipher poor grain filling of basal spikelets in dense panicle rice

Sekhar

Kumar

Mohanty

et al. 2021

Sci Rep

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“…Therefore, it might be possible to obtain higher yields by designing an ideal GW. Using molecular marker maps and QTL mapping technology, numerous QTLs linked to rice GW were reported (Lin et al, 1996;Cui et al, 2003;Ishimaru, 2003). However, until now, only a few QTLs for GW had been isolated.…”

Section: Discussionmentioning

confidence: 99%

Identification and validation of a new grain weight QTL in rice

Bian¹,

He²,

Li³

et al. 2013

Genet. Mol. Res.

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The genetic control of grain weight (GW) remains poorly understood. Quantitative trait loci (QTLs) determining the GW of rice were identified using a natural GW mutant, sgw. Using a segregating population derived from sgw (low GW) and cultivar 9311 ('9311'; indica, high GW), the chromosome segment associated with GW was detected on the short arm of chromosome 7. To validate and further refine the locus, QTL analysis based on F2 and F3 populations was conducted, and a single major QTL (designated as qsgw7) affecting the 1000-grain weight of paddy rice was identified on the short arm region of rice chromosome 7 between simple sequence repeat (SSR) markers RM21997 and RM22015, where 4 bacterial artificial chromosome clones, OJ1339_F05, P0506F02, P0011H09, and P0519E12, were present. Analysis of the near isogenic line for qsgw7 (NILqsgw7) showed that the grain length, width, and volume of paddy rice in NILqsgw7 were significantly lower than those in '9311' and that the 1000-grain weight, grain length, width, volume, and chalkiness of brown rice in NILqsgw7 were significantly lower than those in '9311'. These results suggested that the qsgw7 gene, which was identified in this study, may be a new GW-related QTL that could affect GW and grain shape, especially grain plumpness.

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