Literature DB >> 23571011

Rice breeding in the post-genomics era: from concept to practice.

Zhi-Kang Li1, Fan Zhang.   

Abstract

Future world food security requires continued and sustainable increase in rice production. Much of this increase has to come from new high yielding cultivars with resistances to multiple stresses. While future rice breeding in the post-genomics era has to build upon the progress in rice functional genomics research, great challenges remain in understanding the genetic/molecular systems underlying complex traits and linking the tremendous genome sequence diversity in the rice germplasm collections to the phenotypic variation of important traits. To meet the challenges in future rice improvement, a molecular breeding (MB) strategy has been practiced in China with significant progress in establishing the MB material and information platforms in the process of breeding, and in developing new varieties through two novel MB schemes. However, full implementation of this strategy requires tremendous investment to build capacities in high-throughput genotyping, reliable/precision phenotyping and in developing and adopting new genomics/genetic information-based analytic/application breeding tools, which are not in place in most of the public rice breeding institutions. Nevertheless, future advances and developments in these areas are expected to generate enormous knowledge of rice traits and application tools that enable breeders to deploy more efficient and effective breeding strategies to maximize rice productivity and resource use efficiencies in various ecosystems.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23571011     DOI: 10.1016/j.pbi.2013.03.008

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


  16 in total

1.  Mapping quantitative trait loci in selected breeding populations: A segregation distortion approach.

Authors:  Y Cui; F Zhang; J Xu; Z Li; S Xu
Journal:  Heredity (Edinb)       Date:  2015-07-01       Impact factor: 3.821

2.  Indel marker analysis of putative stress-related genes reveals genetic diversity and differentiation of rice landraces in peninsular Thailand.

Authors:  Sukhuman Whankaew; Siriluk Kaewmanee; Kedsirin Ruttajorn; Amornrat Phongdara
Journal:  Physiol Mol Biol Plants       Date:  2020-05-14

3.  SS1 (NAL1)- and SS2-Mediated Genetic Networks Underlying Source-Sink and Yield Traits in Rice (Oryza sativa L.).

Authors:  Jian-Long Xu; Yun Wang; Fan Zhang; Yuan Wu; Tian-Qing Zheng; Yong-Hong Wang; Xiu-Qin Zhao; Yan-Ru Cui; Kai Chen; Qiang Zhang; Hong-Xuan Lin; Jia-Yang Li; Zhi-Kang Li
Journal:  PLoS One       Date:  2015-07-10       Impact factor: 3.240

4.  Identification and Fine Mapping of a Stably Expressed QTL for Cold Tolerance at the Booting Stage Using an Interconnected Breeding Population in Rice.

Authors:  Yajun Zhu; Kai Chen; Xuefei Mi; Tianxiao Chen; Jauhar Ali; Guoyou Ye; Jianlong Xu; Zhikang Li
Journal:  PLoS One       Date:  2015-12-29       Impact factor: 3.240

5.  Whole genome sequencing and comparative transcriptome analysis of a novel seawater adapted, salt-resistant rice cultivar - sea rice 86.

Authors:  Risheng Chen; Yunfeng Cheng; Suying Han; Ben Van Handel; Ling Dong; Xinmin Li; Xiaoqing Xie
Journal:  BMC Genomics       Date:  2017-08-23       Impact factor: 3.969

6.  Simultaneous Improvement and Genetic Dissection of Salt Tolerance of Rice (Oryza sativa L.) by Designed QTL Pyramiding.

Authors:  Yunlong Pang; Kai Chen; Xiaoqian Wang; Wensheng Wang; Jianlong Xu; Jauhar Ali; Zhikang Li
Journal:  Front Plant Sci       Date:  2017-07-20       Impact factor: 5.753

Review 7.  Novel plant breeding techniques to advance nitrogen use efficiency in rice: A review.

Authors:  Sajid Fiaz; Xiukang Wang; Sher Aslam Khan; Sunny Ahmar; Mehmood Ali Noor; Aamir Riaz; Kazim Ali; Farhat Abbas; Freddy Mora-Poblete; Carlos R Figueroa; Badr Alharthi
Journal:  GM Crops Food       Date:  2021-05-25       Impact factor: 3.118

8.  The 3,000 rice genomes project: new opportunities and challenges for future rice research.

Authors:  Jia-Yang Li; Jun Wang; Robert S Zeigler
Journal:  Gigascience       Date:  2014-05-28       Impact factor: 6.524

9.  The 3,000 rice genomes project.

Authors: 
Journal:  Gigascience       Date:  2014-05-28       Impact factor: 6.524

10.  Prioritization of candidate genes in QTL regions based on associations between traits and biological processes.

Authors:  Joachim W Bargsten; Jan-Peter Nap; Gabino F Sanchez-Perez; Aalt D J van Dijk
Journal:  BMC Plant Biol       Date:  2014-12-10       Impact factor: 4.215

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