Person: Xianchun Xia
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Xianchun Xia
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Xianchun Xia
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0000-0003-2071-197X22 results
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- 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 - 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 - 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 - 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 - 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 - Accuracy assessment of plant height using an unmanned aerial vehicle for quantitative genomic analysis in bread wheat(BioMed Central, 2019) Hassan, M.A.; Mengjiao Yang; Luping Fu; Rasheed, A.; Bangyou Zheng; Xianchun Xia; Yonggui Xiao; He Zhonghu
Publication - 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 - Rapid identification and characterization of genetic loci for defective kernel in bread wheat(BioMed Central, 2019) Chao Fu; Jiuyuan Du; Xiuling Tian; He Zhonghu; Luping Fu; Yue Wang; Dengan Xu; Xiaoting Xu; Xianchun Xia; Zhang, Y.; Shuanghe Cao
Publication - 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 ZhonghuGrain 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 - Identification of QTL for adult-plant resistance to powdery mildew in Chinese wheat landrace Pingyuan 50(Crop Science Society of China, 2014) Muhammad Azeem Asad; Bin Bai; Lan, C.; Yan, J.; Xianchun Xia; He ZhonghuPowdery mildew caused by Blumeria graminis f. sp. tritici is one of the major wheat diseases worldwide. The Chinese wheat landrace Pingyuan 50 has shown adult-plant resistance (APR) to powdery mildew in the field for over 60 years. To dissect the genetic basis of APR to powdery mildew in this cultivar, a mapping population of 137 double haploid (DH) lines derived from Pingyuan 50/Mingxian 169 was evaluated in replicated field trials for two years in Beijing (2009–2010 and 2010–2011) and one year in Anyang (2009–2010). A total of 540 polymorphic SSR markers were genotyped on the entire population for construction of a linkage map and QTLanalysis. Three QTL were mapped on chromosomes 2BS (QPm.caas-2BS.2), 3BS (QPm.caas-3BS), and 5AL (QPm.caas-5AL) with the resistance alleles contributed by Pingyuan 50 explaining 5.3%, 10.2%, and 9.1% of the phenotypic variances, respectively, and one QTL on chromosome 3BL (QPm.caas-3BL) derived from Mingxian 169 accounting for 18.1% of the phenotypic variance. QPm.caas-3BS, QPm.caas-3BL, and QPm.caas-5AL appear to be new powdery mildew APR loci. QPm.caas-2BS.2 and QPm.caas-5AL are possibly pleiotropic or closely linked resistance loci to stripe rust resistance QTL. Pingyuan 50 could be a potential genetic resource to facilitate breeding for improved APR to both powdery mildew and stripe rust.
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