Literature DB >> 28803900

Dissecting the Genetic Basis of Grain Shape and Chalkiness Traits in Hybrid Rice Using Multiple Collaborative Populations.

Junyi Gong1, Jiashun Miao2, Yan Zhao3, Qiang Zhao3, Qi Feng3, Qilin Zhan3, Benyi Cheng1, Junhui Xia1, Xuehui Huang4, Shihua Yang5, Bin Han6.   

Abstract

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Year:  2017        PMID： 28803900     DOI： 10.1016/j.molp.2017.07.014

Source DB:  PubMed          Journal:  Mol Plant        ISSN： 1674-2052            Impact factor:   13.164


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  11 in total

1.  Nitrogen Application Rate Affects the Accumulation of Carbohydrates in Functional Leaves and Grains to Improve Grain Filling and Reduce the Occurrence of Chalkiness.

Authors:  Changchun Guo; Xiaojuan Yuan; Fengjun Yan; Kaihong Xiang; Yunxia Wu; Qiao Zhang; Zhonglin Wang; Limei He; Ping Fan; Zhiyuan Yang; Zongkui Chen; Yongjian Sun; Jun Ma
Journal:  Front Plant Sci       Date:  2022-06-24       Impact factor: 6.627

2.  Natural variation in WHITE-CORE RATE 1 regulates redox homeostasis in rice endosperm to affect grain quality.

Authors:  Bian Wu; Peng Yun; Hao Zhou; Duo Xia; Yuan Gu; Pingbo Li; Jialing Yao; Zhuqing Zhou; Jianxian Chen; Rongjia Liu; Shiyuan Cheng; Hao Zhang; Yuanyuan Zheng; Guangming Lou; Pingli Chen; Shanshan Wan; Mingsong Zhou; Yanhua Li; Guanjun Gao; Qinglu Zhang; Xianghua Li; Xingming Lian; Yuqing He
Journal:  Plant Cell       Date:  2022-04-26       Impact factor: 12.085

3.  Exome association analysis sheds light onto leaf rust (Puccinia triticina) resistance genes currently used in wheat breeding (Triticum aestivum L.).

Authors:  Fang Liu; Yusheng Zhao; Sebastian Beier; Yong Jiang; Patrick Thorwarth; C Friedrich H Longin; Martin Ganal; Axel Himmelbach; Jochen C Reif; Albert W Schulthess
Journal:  Plant Biotechnol J       Date:  2019-12-20       Impact factor: 9.803

Review 4.  Rice Genomics: over the Past Two Decades and into the Future.

Authors:  Shuhui Song; Dongmei Tian; Zhang Zhang; Songnian Hu; Jun Yu
Journal:  Genomics Proteomics Bioinformatics       Date:  2019-02-13       Impact factor: 7.691

5.  Validation of a quantitative trait locus for the white-core expression rate of grain on chromosome 6 in a brewing rice cultivar and development of DNA markers for marker-assisted selection.

Authors:  Satoshi Okada; Masanori Yamasaki
Journal:  Breed Sci       Date:  2019-07-06       Impact factor: 2.086

6.  Genome-wide association study and gene network analyses reveal potential candidate genes for high night temperature tolerance in rice.

Authors:  Raju Bheemanahalli; Montana Knight; Cherryl Quinones; Colleen J Doherty; S V Krishna Jagadish
Journal:  Sci Rep       Date:  2021-03-24       Impact factor: 4.379

7.  Identification and Pleiotropic Effect Analysis of GSE5 on Rice Chalkiness and Grain Shape.

Authors:  Liangrong Jiang; Hui Zhong; Xianbin Jiang; Jiaoping Zhang; Rongyu Huang; Furong Liao; Yaqin Deng; Qingqing Liu; Yumin Huang; Houcong Wang; Yi Tao; Jingsheng Zheng
Journal:  Front Plant Sci       Date:  2022-01-20       Impact factor: 5.753

8.  Natural Variation in OsMKK3 Contributes to Grain Size and Chalkiness in Rice.

Authors:  Yinghua Pan; Lei Chen; Yan Zhao; Haifeng Guo; Jingcheng Li; Muhammad Abdul Rehman Rashid; Chunju Lu; Weiyong Zhou; Xingka Yang; Yuntao Liang; Hao Wu; Dongjing Qing; Lijun Gao; Gaoxing Dai; Danting Li; Guofu Deng
Journal:  Front Plant Sci       Date:  2021-11-25       Impact factor: 5.753

9.  Genome-wide association coupled gene to gene interaction studies unveil novel epistatic targets among major effect loci impacting rice grain chalkiness.

Authors:  Gopal Misra; Saurabh Badoni; Sabiha Parween; Rakesh Kumar Singh; Hei Leung; OluFunmilayo Ladejobi; Richard Mott; Nese Sreenivasulu
Journal:  Plant Biotechnol J       Date:  2020-12-09       Impact factor: 9.803

10.  Identification and allele mining of new candidate genes underlying rice grain weight and grain shape by genome-wide association study.

Authors:  Yanan Niu; Tianxiao Chen; Chunchao Wang; Kai Chen; Congcong Shen; Huizhen Chen; Shuangbing Zhu; Zhichao Wu; Tianqing Zheng; Fan Zhang; Jianlong Xu
Journal:  BMC Genomics       Date:  2021-08-06       Impact factor: 3.969
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