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Xia, Xianchun

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Xia
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Xianchun
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Xianchun Xia
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0000-0003-2071-197X

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Author: Xianchun Xia × AGROVOC: GENETIC MARKERS ×

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Now showing 1 - 10 of 27
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    QTL mapping for grain zinc and iron concentrations in bread wheat
    (Frontiers, 2021) Yue Wang; Xiaoting Xu; Yuanfeng Hao; Yelun Zhang; Yuping Liu; Zongjun Pu; Yubing Tian; Dengan Xu; Xianchun Xia; He Zhonghu; Yong Zhang
    Publication
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    dsDNA fluorescent quantification and genotyping in common wheat by FLUOstar System
    (Science Press, 2017) Yonggui Xiao; Dreisigacker, S.; Núñez-Ríos, C.; Hu Weiguo; Xianchun Xia; He Zhonghu
    Publication
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    Distribution of Allelic variation for vernalization, photoperiod, and dwarfing genes and their effects on growth period and plant height among cultivars from major wheat producing countries
    (Science Press, 2012) Yang Fang-Ping; Xianchun Xia; Yong Zhang; Zhang Xiao-Ke; Jianjun Liu; Tang Jian-Wei; Yang Xue-Ming; Zhang Jun-Ru; Liu Qian; Shizhao Li; He Zhonghu
    Publication
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    Rapid separation and characterization of grain water-soluble proteins in bread wheat cultivars (Triticum aestivum L.) by capillary electrophoresis
    (Canadian Science Publishing, 2008) Aili Wang; Yu-he Pei; Xiaohui Li; Yan-zhen Zhang; Qian Zhang; He Zhonghu; Xianchun Xia; Appels, R.; Wujun Ma; Xiu-Qiang Huang; Yueming Yan
    Publication
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    QTL mapping for Kernel yellow pigment content in common wheat
    (Institute of Crop Sciences, 2006) Zhang Li-Ping; Yan Jun; Xianchun Xia; He Zhonghu; Sutherland, M.W.
    Publication
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    QTL mapping of seedling biomass and root traits under different nitrogen conditions in bread wheat (Triticum aestivum L.)
    (Elsevier, 2021) Mengjiao Yang; Cai-rong Wang; Hassan, M.A.; Yu-ying Wu; Xianchun Xia; Shu-bing Shi; Yonggui Xiao; He Zhonghu
    Publication
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    China-CIMMYT collaboration enhances wheat improvement in China
    (Higher Education Press, 2019) He Zhonghu; Xianchun Xia; Yong Zhang; Zhang, Y.; Yonggui Xiao; Xinmin Chen; Li Simin; Yuanfeng Hao; Rasheed, A.; Zhiyong Xin; Zhuang Qiao-Sheng; Ennian Yang; Zheru Fan; Yan Jun; Singh, R.P.; Braun, H.J.
    China and CIMMYT have collaborated on wheat improvement for over 40 years and significant progress has been achieved in five aspects in China. A standardized protocol for testing Chinese noodle quality has been established with three selection criteria, i.e., gluten quality, starch viscosity and flour color are identified as being responsible for noodle quality. Genomic approaches have been used to develop and validate genespecific markers, leading to the establishment of a KASP platform, and seven cultivars have been released through application of molecular marker technology. Methodology for breeding adult-plant resistance to yellow rust, leaf rust and powdery mildew, based on the pleiotropic effect of minor genes has been established, resulting in release of six cultivars. More than 330 cultivars derived from CIMMYT germplasm have been released and are now grown over 9% of the Chinese wheat production area. Additionally, physiological approaches have been used to characterize yield potential and develop high-efficiency phenotyping platforms. CIMMYT has also provided valuable training for Chinese scientists. Development of climate-resilient cultivars with application of new technology will be the priority for future collaboration.
    Publication
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    Genome-wide association for grain morphology in synthetic hexaploid wheats using digital imaging analysis
    (licensee BioMed Central Ltd, 2014) Rasheed, A.; Xianchun Xia; Ogbonnaya, F.C.; Mahmood, T.; Zhang, Z.; Mujeeb-Kazi, A.; He Zhonghu
    Grain size and shape greatly influence grain weight which ultimately enhances grain yield in wheat. Digital imaging (DI) based phenomic characterization can capture the three dimensional variation in grain size and shape than has hitherto been possible. In this study, we report the results from using digital imaging of grain size and shape to understand the relationship among different components of this trait, their contribution to enhance grain weight, and to identify genomic regions (QTLs) controlling grain morphology using genome wide association mapping with high density diversity array technology (DArT) and allele-specific markers.
    Publication
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    Genome-wide linkage mapping of QTL for yield components, plant height and yield-related physiological traits in the chinese wheat cross Zhou 8425B/Chinese spring
    (Frontiers, 2015) Fengmei Gao; Weie Wen; Liu, J.J.; Rasheed, A.; Guihong Yin; Xianchun Xia; Wu, X.; He Zhonghu
    Identification of genes for yield components, plant height (PH), and yield-related physiological traits and tightly linked molecular markers is of great importance in marker-assisted selection (MAS) in wheat breeding. In the present study, 246 F8 RILs derived from the cross of Zhou 8425B/Chinese Spring were genotyped using the high-density Illumina iSelect 90K single nucleotide polymorphism (SNP) assay. Field trials were conducted at Zhengzhou and Zhoukou of Henan Province, during the 2012–2013 and 2013–2014 cropping season under irrigated conditions, providing data for four environments. Analysis of variance (ANOVA) of agronomic and physiological traits revealed significant differences (P < 0.01) among RILs, environments, and RILs × environments interactions. Broad-sense heritabilities of all traits including thousand kernel weight (TKW), PH, spike length (SL), kernel number per spike (KNS), spike number/m2 (SN), normalized difference in vegetation index at anthesis (NDVI-A) and at 10 days post-anthesis (NDVI-10), SPAD value of chlorophyll content at anthesis (Chl-A) and at 10 days post-anthesis (Chl-10) ranged between 0.65 and 0.94. A linkage map spanning 3609.4 cM was constructed using 5636 polymorphic SNP markers, with an average chromosome length of 171.9 cM and marker density of 0.64 cM/marker. A total of 866 SNP markers were newly mapped to the hexaploid wheat linkage map. Eighty-six QTL for yield components, PH, and yield-related physiological traits were detected on 18 chromosomes except 1D, 5D, and 6D, explaining 2.3–33.2% of the phenotypic variance. Ten stable QTL were identified across four environments, viz. QTKW.caas-6A.1, QTKW.caas-7AL, QKNS.caas-4AL, QSN.caas-1AL.1, QPH.caas-4BS.2, QPH.caas-4DS.1, QSL.caas-4AS, QSL.caas-4AL.1, QChl-A.caas-5AL, and QChl-10.caas-5BL. Meanwhile, 10 QTL-rich regions were found on chromosome 1BS, 2AL (2), 3AL, 4AL (2), 4BS, 4DS, 5BL, and 7AL exhibiting pleiotropic effects. These QTL or QTL clusters are tightly linked to SNP markers, with genetic distances to the closest SNPs ranging from 0 to 1.5 cM, and could serve as target regions for fine mapping, candidate gene discovery, and MAS in wheat breeding.
    Publication
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    Molecular mapping of reduced plant height gene Rht24 in bread wheat
    (Frontiers, 2017) Xiuling Tian; Weie Wen; Li Xie; Luping Fu; Dengan Xu; Chao Fu; Desen Wang; Xinmin Chen; Xianchun Xia; Quanjia Chen; He Zhonghu; Shuanghe Cao
    Height is an important trait related to plant architecture and yield potential in bread wheat (Triticum aestivum L.). We previously identified a major quantitative trait locus QPH.caas-6A flanked by simple sequence repeat markers Xbarc103 and Xwmc256 that reduced height by 8.0–10.4%. Here QPH.caas-6A, designated as Rht24, was confirmed using recombinant inbred lines (RILs) derived from a Jingdong 8/Aikang 58 cross. The target sequences of Xbarc103 and Xwmc256 were used as queries to BLAST against International Wheat Genome Sequence Consortium database and hit a super scaffold of approximately 208 Mb. Based on gene annotation of the scaffold, three gene-specific markers were developed to genotype the RILs, and Rht24 was narrowed to a 1.85 cM interval between TaAP2 and TaFAR. In addition, three single nucleotide polymorphism (SNP) markers linked to Rht24 were identified from SNP chip-based screening in combination with bulked segregant analysis. The allelic efficacy of Rht24 was validated in 242 elite wheat varieties using TaAP2 and TaFAR markers. These showed a significant association between genotypes and plant height. Rht24 reduced plant height by an average of 6.0–7.9 cm across environments and were significantly associated with an increased TGW of 2.0–3.4 g. The findings indicate that Rht24 is a common dwarfing gene in wheat breeding, and TaAP2 and TaFAR can be used for marker-assisted selection.
    Publication