Person:
Xianchun Xia

Profile Picture
Email Address
Birth Date
Research Projects
Organizational Units
Job Title
Last Name
Xianchun Xia
First Name
Name
Xianchun Xia
ORCID ID
0000-0003-2071-197X

Filters

2014 - 201972020 - 20234
Reset filters

Settings

Author: Jindong Liu × Author: Xianchun Xia ×

Search Results

Now showing 1 - 10 of 11
  • Thumbnail Image
    Identification of genetic loci for grain yield-related traits in the wheat population Zhongmai 578/Jimai 22
    (Elsevier B.V., 2023) Dan Liu; Dehui Zhao; Jian qi Zeng; Rabiu Sani Shawai; Jingyang Tong; Ming Li; Fa-Ji Li; Shuo Zhou; Wen-li Hu; Xianchun Xia; Yubing Tian; Qian Zhu; Chunping Wang; Desen Wang; He Zhonghu; Jindong Liu; Yong Zhang
    Publication
  • Thumbnail Image
    QTL mapping for pre-harvest sprouting in a recombinant inbred line population of elite wheat varieties Zhongmai 578 and Jimai 22
    (ICS, 2023) Shawai, R.S.; Dan Liu; Lingli Li; Chen, T.; Ming Li; Shuanghe Cao; Xianchun Xia; Jindong Liu; He Zhonghu; Yong Zhang
    Publication
  • Thumbnail Image
    QTL mapping of drought tolerance at germination stage in wheat using the 50 K SNP array
    (Cambridge University Press, 2021) Yi Ren; Jindong Liu; Jianxin Zhang; Dreisigacker, S.; Xianchun Xia; Hongwei Geng
    Publication
  • Thumbnail Image
    Resistance of slow mildewing genes to stripe rust and leaf rust in common wheat
    (Science Press, 2014) Jindong Liu; Xinmin Chen; He Zhonghu; Ling Wu; Bin Bai; Zaifeng Li; Xianchun Xia
    Publication
  • Thumbnail Image
    Genome-wide association analysis of Fusarium head blight resistance in Chinese elite wheat lines
    (Frontiers, 2020) Zhanwang Zhu; Ling Chen; Wei Zhang; Lijun Yang; Weiwei Zhu; Junhui Li; Yike Liu; Hanwen Tong; Luping Fu; Jindong Liu; Rasheed, A.; Xianchun Xia; He Zhonghu; Yuanfeng Hao; Chunbao Gao
    Publication
  • Thumbnail Image
    Characterization of TaCOMT genes associated with stem lignin content in common wheat and development of a gene-specific marker
    (Elsevier, 2019) Luping Fu; Yonggui Xiao; Yan Jun; Jindong Liu; Weie Wen; Yong Zhang; Xianchun Xia; He Zhonghu
    Publication
  • Thumbnail Image
    A genome-wide association study reveals a rich genetic architecture of flour color-related traits in bread wheat
    (Frontiers, 2018) Shengnan Zhai; Jindong Liu; Dengan Xu; Weie Wen; Yan Jun; Pingzhi Zhang; Yingxiu Wan; Shuanghe Cao; Yuanfeng Hao; Xianchun Xia; Wujun Ma; He Zhonghu
    Flour color-related traits, including brightness (L∗), redness (a∗), yellowness (b∗) and yellow pigment content (YPC), are very important for end-use quality of wheat. Uncovering the genetic architecture of these traits is necessary for improving wheat quality by marker-assisted selection (MAS). In the present study, a genome-wide association study (GWAS) was performed on a collection of 166 bread wheat cultivars to better understand the genetic architecture of flour color-related traits using the wheat 90 and 660 K SNP arrays, and 10 allele-specific markers for known genes influencing these traits. Fifteen, 28, 25, and 32 marker–trait associations (MTAs) for L∗ , a∗ , b∗ , and YPC, respectively, were detected, explaining 6.5–20.9% phenotypic variation. Seventy-eight loci were consistent across all four environments. Compared with previous studies, Psy-A1, Psy-B1, Pinb-D1, and the 1B•1R translocation controlling flour color-related traits were confirmed, and four loci were novel. Two and 11 loci explained much more phenotypic variation of a∗ and YPC than phytoene synthase 1 gene (Psy1), respectively. Sixteen candidate genes were predicted based on biochemical information and bioinformatics analyses, mainly related to carotenoid biosynthesis and degradation, terpenoid backbone biosynthesis and glycolysis/gluconeogenesis. The results largely enrich our knowledge of the genetic basis of flour color-related traits in bread wheat and provide valuable markers for wheat quality improvement. The study also indicated that GWAS was a powerful strategy for dissecting flour color-related traits and identifying candidate genes based on diverse genotypes and high-throughput SNP arrays.
    Publication
  • Thumbnail Image
    Genome-wide linkage mapping of QTL for adult-plant resistance to stripe rust in a chinese wheat population Linmai 2 × Zhong 892
    (Public Library of Science, 2015) Jindong Liu; He Zhonghu; Ling Wu; Bin Bai; Weie Wen; Chaojie Xie; Xianchun Xia
    Stripe rust is one of the most devastating diseases of wheat (Triticum aestivum) worldwide. Adult-plant resistance (APR) is an efficient approach to provide long-term protection of wheat from the disease. The Chinese winter wheat cultivar Zhong 892 has a moderate level of APR to stripe rust in the field. To determine the inheritance of the APR resistance in this cultivar, 273 F6 recombinant inbred lines (RILs) were developed from a cross between Linmai 2 and Zhong 892. The RILs were evaluated for maximum disease severity (MDS) in two sites during the 2011–2012, 2012–2013 and 2013–2014 cropping seasons, providing data for five environments. Illumina 90k SNP (single nucleotide polymorphism) chips were used to genotype the RILs and their parents. Composite interval mapping (CIM) detected eight QTL, namely QYr.caas-2AL, QYr.caas-2BL.3, QYr.caas-3AS, QYr.caas-3BS, QYr.caas-5DL, QYr.caas-6AL, QYr.caas-7AL and QYr.caas-7DS.1, respectively. All except QYr.caas-2BL.3 resistance alleles were contributed by Zhong 892. QYr.caas-3AS and QYr.caas-3BS conferred stable resistance to stripe rust in all environments, explaining 6.2–17.4% and 5.0–11.5% of the phenotypic variances, respectively. The genome scan of SNP sequences tightly linked to QTL for APR against annotated proteins in wheat and related cereals genomes identified two candidate genes (autophagy-related gene and disease resistance gene RGA1), significantly associated with stripe rust resistance. These QTL and their closely linked SNP markers, in combination with kompetitive allele specific PCR (KASP) technology, are potentially useful for improving stripe rust resistances in wheat breeding.
    Publication
  • Thumbnail Image
    Genome-wide association mapping of vitamins B1 and B2 in common wheat
    (Elsevier, 2018) Jieyun Li; Jindong Liu; Weie Wen; Pingzhi Zhang; Yingxiu Wan; Xianchun Xia; Zhang, Y.; He Zhonghu
    Vitamin B is essential for maintaining normal life activities in humans and animals who have to intake the microelement from the outside, especially from cereal products. In the present study 166 Chinese and foreign wheat cultivars planted in two environments were characterized for variation in vitamin B1 and B2 contents. A genome-wide association study (GWAS) using the wheat 90 K SNP assay identified 17 loci for vitamin B1 and 7 for vitamin B2 contents. Linear regression analysis showed a significantly positive correlation of the number of favorable alleles with vitamin B1 and B2 contents. Marker-trait associations (MTAs) at IWB43809 (6AS, 0 cM) and IWB69903 (6AS, 13 cM) were new and stable, and significantly associated with vitamin B1 content across two environments. The loci identified in this study and associated SNP markers could be used for improvement of vitamin B1 and B2 contents to obtain superior quality along with grain yield in wheat.
    Publication
  • Thumbnail Image
    Genome-wide association mapping of black point reaction in common wheat (Triticum aestivum L.)
    (BioMed Central, 2017) Jindong Liu; He Zhonghu; Rasheed, A.; Weie Wen; Yan Jun; Pingzhi Zhang; Yingxiu Wan; Yong Zhang; Chaojie Xie; Xianchun Xia
    Black point is a serious threat to wheat production and can be managed by host resistance. Marker-assisted selection (MAS) has the potential to accelerate genetic improvement of black point resistance in wheat breeding. We performed a genome-wide association study (GWAS) using the high-density wheat 90 K and 660 K single nucleotide polymorphism (SNP) assays to better understand the genetic basis of black point resistance and identify associated molecular markers.
    Publication