Literature DB >> 23466256

Genes offering the potential for designing yield-related traits in rice.

Mayuko Ikeda1, Kotaro Miura, Koichiro Aya, Hidemi Kitano, Makoto Matsuoka.   

Abstract

Breeding of high-yielding rice is crucial for meeting the food demand of the increasing world population. New technologies have facilitated identification of genes involved in quantitative traits, and many genes underpinning quantitative trait loci involved in rice crop yield have been isolated. Meanwhile, various kinds of mutants have been intensively studied, leading to characterization of many genes related to yield traits. A combination of quantitative trait locus analysis and studies of such mutants has made it possible to compile a list of genes available for breeding rice with higher yield.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23466256     DOI: 10.1016/j.pbi.2013.02.002

Source DB:  PubMed          Journal:  Curr Opin Plant Biol        ISSN: 1369-5266            Impact factor:   7.834


  37 in total

1.  Activation of Big Grain1 significantly improves grain size by regulating auxin transport in rice.

Authors:  Linchuan Liu; Hongning Tong; Yunhua Xiao; Ronghui Che; Fan Xu; Bin Hu; Chengzhen Liang; Jinfang Chu; Jiayang Li; Chengcai Chu
Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-17       Impact factor: 11.205

2.  A quantitative genomics map of rice provides genetic insights and guides breeding.

Authors:  Xin Wei; Jie Qiu; Kaicheng Yong; Jiongjiong Fan; Qi Zhang; Hua Hua; Jie Liu; Qin Wang; Kenneth M Olsen; Bin Han; Xuehui Huang
Journal:  Nat Genet       Date:  2021-02-01       Impact factor: 38.330

3.  A comprehensive meta-analysis of plant morphology, yield, stay-green, and virus disease resistance QTL in maize (Zea mays L.).

Authors:  Yijun Wang; Jing Xu; Dexiang Deng; Haidong Ding; Yunlong Bian; Zhitong Yin; Yarong Wu; Bo Zhou; Ye Zhao
Journal:  Planta       Date:  2015-10-16       Impact factor: 4.116

4.  Overexpression of OsGATA12 regulates chlorophyll content, delays plant senescence and improves rice yield under high density planting.

Authors:  Guangwen Lu; José A Casaretto; Shan Ying; Kashif Mahmood; Fang Liu; Yong-Mei Bi; Steven J Rothstein
Journal:  Plant Mol Biol       Date:  2017-03-24       Impact factor: 4.076

5.  A Core Regulatory Pathway Controlling Rice Tiller Angle Mediated by the LAZY1-Dependent Asymmetric Distribution of Auxin.

Authors:  Ning Zhang; Hong Yu; Hao Yu; Yueyue Cai; Linzhou Huang; Cao Xu; Guosheng Xiong; Xiangbing Meng; Jiyao Wang; Haofeng Chen; Guifu Liu; Yanhui Jing; Yundong Yuan; Yan Liang; Shujia Li; Steven M Smith; Jiayang Li; Yonghong Wang
Journal:  Plant Cell       Date:  2018-06-18       Impact factor: 11.277

6.  Effect of multi-allele combination on rice grain size based on prediction of regression equation model.

Authors:  Hua Zhong; Chang Liu; Weilong Kong; Yue Zhang; Gangqing Zhao; Tong Sun; Yangsheng Li
Journal:  Mol Genet Genomics       Date:  2019-12-20       Impact factor: 3.291

7.  High-resolution mapping of rachis nodes per rachis, a critical determinant of grain yield components in wheat.

Authors:  Kai P Voss-Fels; Gabriel Keeble-Gagnère; Lee T Hickey; Josquin Tibbits; Sergej Nagornyy; Matthew J Hayden; Raj K Pasam; Surya Kant; Wolfgang Friedt; Rod J Snowdon; Rudi Appels; Benjamin Wittkop
Journal:  Theor Appl Genet       Date:  2019-06-28       Impact factor: 5.699

8.  OsVIN2 encodes a vacuolar acid invertase that affects grain size by altering sugar metabolism in rice.

Authors:  Xinyang Xu; Yulong Ren; Chunming Wang; Huan Zhang; Fan Wang; Jun Chen; Xi Liu; Tianhui Zheng; Maohong Cai; Zhaoqiong Zeng; Liang Zhou; Shanshan Zhu; Weijie Tang; Jiulin Wang; Xiuping Guo; Ling Jiang; Saihua Chen; Jianmin Wan
Journal:  Plant Cell Rep       Date:  2019-07-18       Impact factor: 4.570

9.  Multiplex QTL editing of grain-related genes improves yield in elite rice varieties.

Authors:  Jianping Zhou; Xuhui Xin; Yao He; Hongqiao Chen; Qian Li; Xu Tang; Zhaohui Zhong; Kejun Deng; Xuelian Zheng; Sayed Abdul Akher; Guangze Cai; Yiping Qi; Yong Zhang
Journal:  Plant Cell Rep       Date:  2018-08-29       Impact factor: 4.570

10.  Validation of a QTL for Grain Size and Weight Using an Introgression Line from a Cross between Oryza sativa and Oryza minuta.

Authors:  Yue Feng; Xiaoping Yuan; Yiping Wang; Yaolong Yang; Mengchen Zhang; Hanyong Yu; Qun Xu; Shan Wang; Xiaojun Niu; Xinghua Wei
Journal:  Rice (N Y)       Date:  2021-05-20       Impact factor: 4.783

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