Evidence map›Paper›PMID 28952045›Full record

ArticleRice (New York, N.Y.)2017

Identification and validation of a novel major QTL for harvest index in rice (Oryza sativa L.).

Shaohong Zhang, Xiuying He, Junliang Zhao, Yongsheng Cheng, Zhimei Xie, Yuehan Chen, Tifeng Yang, Jingfang Dong, Xiaofei Wang, Qing Liu and 6 more

Open access · goldAbstract read
In one paragraph

Article in Rice (New York, N.Y.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 21 citations in OpenAlex.

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  4. Mapping of QTLs for Yield Traits Using FFrontiers in plant science · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 2 institutions in 1 country.

Shaohong ZhangRice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China.
Xiuying HeRice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China.
Junliang ZhaoRice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China.
Yongsheng ChengRice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China.
Zhimei XieRice Research Institute, Hunan Agricultural University, Changsha, 410128, China.
Yuehan ChenRice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China.
Tifeng YangRice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China.
Jingfang DongRice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China.
Xiaofei WangRice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China.
Qing LiuRice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China.
Wei LiuRice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China.
Xingxue MaoRice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China.
Hua FuRice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China.
Zhaoming ChenRice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China.
Yaoping LiaoRice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China.
Bin LiuRice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China. lbgz1009@163.com.ORCID http://orcid.org/0000-0002-3736-7522
Rice Research Institute · CNXi'an High Tech University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHarvest index (HI) in rice is defined as the ratio of grain yield (GY) to biomass (BM). Although it has been demonstrated that HI is significantly related to yield and is considered as one of the most important traits in high-yielding rice breeding, HI-based high-yielding rice breeding is difficult due to its polygenic nature and insufficient knowledge on the genetic basis of HI. Therefore, searching for rice varieties with high HI and mapping genes associated with high HI can facilitate marker-assisted breeding for high HI in rice.

resultsYuexiangzhan, a popular indica cultivar with good reputation of high HI was crossed with Shengbasimiao, an indica cultivar with lower HI to develop a recombinant inbred line population, and QTL mapping for HI and its component traits was conducted. In total, five QTLs for HI, three QTLs for GY, and six QTLs for BM were detected in two-year experiments. Among the three GY QTLs, one co-located with the HI QTL on chromosome 8, while the other two co-located with the two tightly-linked BM QTLs on chromosome 3. The co-located QTLs in each of the chromosomal regions produced additive effects in the same direction. Particularly, the HI QTL on chromosome 8, qHI-8, could be detected across two years and explained 42.8% and 44.5% of the phenotypic variation, respectively. The existence of qHI-8 was confirmed by the evaluation of the near isogenic lines derived from a residual heterozygous line, and this QTL was delimitated to a 1070 kb interval by substitution mapping.

conclusionIn the present study, the detected GY QTLs overlapped with both HI QTL and BM QTL, suggesting a positive relationship between GY and HI or BM, respectively. With an understanding of the genetic basis for grain yield, harvest index and biomass, it is possible to achieve higher yield through enhancing HI and BM by pyramiding the favorable alleles for the two traits via marker-assisted selection (MAS). As qHI-8 has a large phenotypic effect on HI and expresses stably in different environments, it provides a promising target for further genetic characterization of HI and MAS of high HI in rice breeding.

Indexed as

BiomassGrain yieldHarvest indexMappingQuantitative trait locus (QTL)Rice (Oryza sativa L.)Validation

Identifiers

PMID28952045
PMCPMC5615080
OpenAlexW2760733726

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.