Literature DB >> 20233705

[Molecular mapping and identification of quantitative trait loci for yield components in rapeseed (Brasscia napus L.)].

Feng Wang1, Chun-Yun Guan.   

Abstract

A F2 segregating population for genetic map construction and identification of QTL for seed yield in rapeseed (Brassica napus L.), was developed via crossing a conventional rapeseed line 04-1139 with a high yielding multiple silique rapeseed line 05-1054. A genetic map including 19 linkage groups was constructed with 200 SSR (Simple sequence repeat) and SRAP (Sequence-related amplified polymorphism) markers. This map covers a total length of 1 700.23 cM with an average distance between two adjacent makers of 8.50 cM. Using this map, QTL for the components of yield per plant, such as number of silique per plant (SNP), number of seeds per silique (SS) were analyzed. A total of 12 putative QTL for the traits were detected. Four of them were associated with SNP, which explained 35.64%, 12.96%, 28.71%, and 34.02% of the variation, respectively. Five QTL, which explained 8.41%, 7.87%, 24.37%, 8.57%, and 14.31% of the variation, were responsible for SS. Three QTL for 1 000-seed weight explained 1.81%-2.33% of the variation. The additional effects of the alleles for a trait may originate from both parents. The markers associated with the main QTL can be a good tool for marker associated selection and pyramiding breeding.

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Year:  2010        PMID: 20233705     DOI: 10.3724/sp.j.1005.2010.00271

Source DB:  PubMed          Journal:  Yi Chuan        ISSN: 0253-9772


  6 in total

1.  Linkage and regional association analysis reveal two new tightly-linked major-QTLs for pod number and seed number per pod in rapeseed (Brassica napus L.).

Authors:  Jiaqin Shi; Jiepeng Zhan; Yuhua Yang; Jiang Ye; Shunmou Huang; Ruiyuan Li; Xinfa Wang; Guihua Liu; Hanzhong Wang
Journal:  Sci Rep       Date:  2015-10-05       Impact factor: 4.379

2.  High Density Linkage Map Construction and QTL Detection for Three Silique-Related Traits in Orychophragmus violaceus Derived Brassica napus Population.

Authors:  Yi Yang; Yusen Shen; Shunda Li; Xianhong Ge; Zaiyun Li
Journal:  Front Plant Sci       Date:  2017-09-06       Impact factor: 5.753

3.  Genomic Prediction of Genotypic Effects with Epistasis and Environment Interactions for Yield-Related Traits of Rapeseed (Brassica napus L.).

Authors:  Xiang Luo; Yi Ding; Linzhong Zhang; Yao Yue; John H Snyder; Chaozhi Ma; Jun Zhu
Journal:  Front Genet       Date:  2017-02-21       Impact factor: 4.599

4.  QTL Alignment for Seed Yield and Yield Related Traits in Brassica napus.

Authors:  Nadia Raboanatahiry; Hongbo Chao; Hou Dalin; Shi Pu; Wei Yan; Longjiang Yu; Baoshan Wang; Maoteng Li
Journal:  Front Plant Sci       Date:  2018-08-02       Impact factor: 5.753

5.  Deciphering the Genetic Architecture of Plant Height in Soybean Using Two RIL Populations Sharing a Common M8206 Parent.

Authors:  Yongce Cao; Shuguang Li; Guoliang Chen; Yanfeng Wang; Javaid Akhter Bhat; Benjamin Karikari; Jiejie Kong; Junyi Gai; Tuanjie Zhao
Journal:  Plants (Basel)       Date:  2019-09-26

6.  Construction of a Quantitative Genomic Map, Identification and Expression Analysis of Candidate Genes for Agronomic and Disease-Related Traits in Brassica napus.

Authors:  Nadia Raboanatahiry; Hongbo Chao; Jianjie He; Huaixin Li; Yongtai Yin; Maoteng Li
Journal:  Front Plant Sci       Date:  2022-03-11       Impact factor: 5.753

  6 in total

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