Evidence map›Paper›PMID 41640773›Full record

ArticleFrontiers in plant science2025

Integrated QTL mapping and candidate gene analysis for yield-related traits and salt tolerance in a rice RIL population.

Yanhong Zhang, Yulong Wang, Xiaojing Du, Xiaorong Wen, Mintai Kang, Tianyu Hou, Fusen Tang, Yuhong Qi, Zhiqiang Zhao, Quan Yuan and 4 more

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Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Yanhong Zhang *Crop Research Institute of Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences/Northwest Center of National Salinity Tolerant Rice Technology Innovation Center, Urumqi, Xinjiang, China.
Yulong Wang *Agricultural College, Henan University of Science and Technology, Luoyang, Henan, China.
Xiaojing DuCrop Research Institute of Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences/Northwest Center of National Salinity Tolerant Rice Technology Innovation Center, Urumqi, Xinjiang, China.
Xiaorong WenCrop Research Institute of Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences/Northwest Center of National Salinity Tolerant Rice Technology Innovation Center, Urumqi, Xinjiang, China.
Mintai KangCrop Research Institute of Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences/Northwest Center of National Salinity Tolerant Rice Technology Innovation Center, Urumqi, Xinjiang, China.
Tianyu HouCrop Research Institute of Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences/Northwest Center of National Salinity Tolerant Rice Technology Innovation Center, Urumqi, Xinjiang, China.
Fusen TangCrop Research Institute of Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences/Northwest Center of National Salinity Tolerant Rice Technology Innovation Center, Urumqi, Xinjiang, China.
Yuhong QiCrop Research Institute of Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences/Northwest Center of National Salinity Tolerant Rice Technology Innovation Center, Urumqi, Xinjiang, China.
Zhiqiang ZhaoCrop Research Institute of Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences/Northwest Center of National Salinity Tolerant Rice Technology Innovation Center, Urumqi, Xinjiang, China.
Quan YuanCrop Research Institute of Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences/Northwest Center of National Salinity Tolerant Rice Technology Innovation Center, Urumqi, Xinjiang, China.
Abliz BhaliqemCrop Research Institute of Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences/Northwest Center of National Salinity Tolerant Rice Technology Innovation Center, Urumqi, Xinjiang, China.
Dong LiCrop Research Institute of Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences/Northwest Center of National Salinity Tolerant Rice Technology Innovation Center, Urumqi, Xinjiang, China.
Fengbin WangCrop Research Institute of Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences/Northwest Center of National Salinity Tolerant Rice Technology Innovation Center, Urumqi, Xinjiang, China.
Jie YuanCrop Research Institute of Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences/Northwest Center of National Salinity Tolerant Rice Technology Innovation Center, Urumqi, Xinjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice is a globally critical staple crop, and enhancing its yield and stress resilience is essential for food security. In this study, we employed a recombinant inbred line (RIL) population derived from cultivars Liangxiang5 and 03GY28 to dissect the genetic basis of yield-related traits, leaf color, and germination stage salt tolerance. A high-density genetic map was constructed using 1, 101 bin markers, spanning 1, 132.95 cM with an average marker interval of 1.03 cM. Over two-year field trials, we identified 16 quantitative trait loci (QTLs) for nine agronomic traits distributed across chromosomes 3, 5, 6, 7, 9, and 11. These QTLs accounted for 5.48%-19.03% of phenotypic variance (PVE), with LOD scores ranging from 2.52 to 8.93. Notably, a major-effect QTL, qLeafColor9.1, explaining 19.03% of variance and was mapped to chromosome 9 and co-localized with the known senescence-associated gene

Indexed as

molecular breedingQTL mappingricesaltyield-related traits

Identifiers

PMID41640773
PMCPMC12864451

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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.