Evidence map›Paper›PMID 28526913›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2017

Mapping QTLs controlling kernel dimensions in a wheat inter-varietal RIL mapping population.

Ruiru Cheng, Zhongxin Kong, Liwei Zhang, Quan Xie, Haiyan Jia, Dong Yu, Yulong Huang, Zhengqiang Ma

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

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16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

The trial behind it

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3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
  2. Fine mapping of KLW1 that conditions kernel weight mainly through regulating kernel length in wheat (Triticum aestivum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
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  6. Fine mapping KT1 on wheat chromosome 5A that conditions kernel dimensions and grain weight.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
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  11. QTL mapping for grain yield-related traits in bread wheat via SNP-based selective genotyping.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Article
  12. Dissection of genetic factors underlying grain size and fine mapping of QTgw.cau-7D in common wheat (Triticum aestivum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Article
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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Ruiru ChengCrop Genomics and Bioinformatics Center and College of Agricultural Sciences, Nanjing Agricultural University, Jiangsu, 210095, People's Republic of China.
Zhongxin KongCrop Genomics and Bioinformatics Center and College of Agricultural Sciences, Nanjing Agricultural University, Jiangsu, 210095, People's Republic of China.
Liwei ZhangCrop Genomics and Bioinformatics Center and College of Agricultural Sciences, Nanjing Agricultural University, Jiangsu, 210095, People's Republic of China.
Quan XieCrop Genomics and Bioinformatics Center and College of Agricultural Sciences, Nanjing Agricultural University, Jiangsu, 210095, People's Republic of China.
Haiyan JiaCrop Genomics and Bioinformatics Center and College of Agricultural Sciences, Nanjing Agricultural University, Jiangsu, 210095, People's Republic of China.
Dong YuCrop Genomics and Bioinformatics Center and College of Agricultural Sciences, Nanjing Agricultural University, Jiangsu, 210095, People's Republic of China.
Yulong HuangCrop Genomics and Bioinformatics Center and College of Agricultural Sciences, Nanjing Agricultural University, Jiangsu, 210095, People's Republic of China.
Zhengqiang MaCrop Genomics and Bioinformatics Center and College of Agricultural Sciences, Nanjing Agricultural University, Jiangsu, 210095, People's Republic of China. zqm2@njau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageSeven kernel dimension QTLs were identified in wheat, and kernel thickness was found to be the most important dimension for grain weight improvement. Kernel morphology and weight of wheat (Triticum aestivum L.) affect both yield and quality; however, the genetic basis of these traits and their interactions has not been fully understood. In this study, to investigate the genetic factors affecting kernel morphology and the association of kernel morphology traits with kernel weight, kernel length (KL), width (KW) and thickness (KT) were evaluated, together with hundred-grain weight (HGW), in a recombinant inbred line population derived from Nanda2419 × Wangshuibai, with data from five trials (two different locations over 3 years). The results showed that HGW was more closely correlated with KT and KW than with KL. A whole genome scan revealed four QTLs for KL, one for KW and two for KT, distributed on five different chromosomes. Of them, QKl.nau-2D for KL, and QKt.nau-4B and QKt.nau-5A for KT were newly identified major QTLs for the respective traits, explaining up to 32.6 and 41.5% of the phenotypic variations, respectively. Increase of KW and KT and reduction of KL/KT and KW/KT ratios always resulted in significant higher grain weight. Lines combining the Nanda 2419 alleles of the 4B and 5A intervals had wider, thicker, rounder kernels and a 14% higher grain weight in the genotype-based analysis. A strong, negative linear relationship of the KW/KT ratio with grain weight was observed. It thus appears that kernel thickness is the most important kernel dimension factor in wheat improvement for higher yield. Mapping and marker identification of the kernel dimension-related QTLs definitely help realize the breeding goals.

Indexed as

Chromosome MappingQuantitative Trait LociAllelesChromosomes, PlantGenotypePhenotypePlant BreedingSeedsTriticum

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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.