Literature DB >> 21429786

The role of QTLs in the breeding of high-yielding rice.

Kotaro Miura1, Motoyuki Ashikari, Makoto Matsuoka.   

Abstract

Food shortages have once again become a serious problem, not only because of world population growth but also as a result of escalating demand for crops as a substrate for biofuels. The production of improved plant varieties, especially major crops such as rice, is urgently required to increase yield. The completion of the sequencing of the rice genome has made it possible to clone and analyze quantitative trait loci (QTLs). Furthermore, the development of high-throughput sequencing and genotyping technologies has improved spectacularly the accuracy of QTL analysis. In this review article, we focus on the potential roles of major QTLs in the selection for agronomic traits in rice and discuss the application of high-throughput technologies for high-resolution genetic analysis.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21429786     DOI: 10.1016/j.tplants.2011.02.009

Source DB:  PubMed          Journal:  Trends Plant Sci        ISSN: 1360-1385            Impact factor:   18.313


  59 in total

1.  Identification of a major QTL for silique length and seed weight in oilseed rape (Brassica napus L.).

Authors:  Pu Yang; Chang Shu; Lin Chen; Jinsong Xu; Jiangsheng Wu; Kede Liu
Journal:  Theor Appl Genet       Date:  2012-03-11       Impact factor: 5.699

2.  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

3.  NAL1 allele from a rice landrace greatly increases yield in modern indica cultivars.

Authors:  Daisuke Fujita; Kurniawan Rudi Trijatmiko; Analiza Grubanzo Tagle; Maria Veronica Sapasap; Yohei Koide; Kazuhiro Sasaki; Nikolaos Tsakirpaloglou; Ritchel Bueno Gannaban; Takeshi Nishimura; Seiji Yanagihara; Yoshimichi Fukuta; Tomokazu Koshiba; Inez Hortense Slamet-Loedin; Tsutomu Ishimaru; Nobuya Kobayashi
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-02       Impact factor: 11.205

Review 4.  Integrated genomics and molecular breeding approaches for dissecting the complex quantitative traits in crop plants.

Authors:  Alice Kujur; Maneesha S Saxena; Deepak Bajaj; Swarup K Parida
Journal:  J Biosci       Date:  2013-12       Impact factor: 1.826

5.  Linking ecophysiological modelling with quantitative genetics to support marker-assisted crop design for improved yields of rice (Oryza sativa) under drought stress.

Authors:  Junfei Gu; Xinyou Yin; Chengwei Zhang; Huaqi Wang; Paul C Struik
Journal:  Ann Bot       Date:  2014-07-01       Impact factor: 4.357

6.  Production of Marker-free Transgenic Rice (Oryza sativa L.) with Improved Nutritive Quality Expressing AmA1.

Authors:  Ming Xu; Shuai Zhao; Yuwen Zhang; Hengjie Yin; Xuejuan Peng; Zuxin Cheng; Zhijian Yang; Jingui Zheng
Journal:  Iran J Biotechnol       Date:  2017-08-19       Impact factor: 1.671

7.  Towards a comprehensive picture of the genetic landscape of complex traits.

Authors:  Zhong Wang; Yaqun Wang; Ningtao Wang; Jianxin Wang; Zuoheng Wang; C Eduardo Vallejos; Rongling Wu
Journal:  Brief Bioinform       Date:  2012-08-27       Impact factor: 11.622

8.  Roles of the Hd5 gene controlling heading date for adaptation to the northern limits of rice cultivation.

Authors:  Kenji Fujino; Utako Yamanouchi; Masahiro Yano
Journal:  Theor Appl Genet       Date:  2012-10-23       Impact factor: 5.699

9.  Genome-wide association study using whole-genome sequencing rapidly identifies new genes influencing agronomic traits in rice.

Authors:  Kenji Yano; Eiji Yamamoto; Koichiro Aya; Hideyuki Takeuchi; Pei-Ching Lo; Li Hu; Masanori Yamasaki; Shinya Yoshida; Hidemi Kitano; Ko Hirano; Makoto Matsuoka
Journal:  Nat Genet       Date:  2016-06-20       Impact factor: 38.330

10.  Development of introgression lines in high yielding, semi-dwarf genetic backgrounds to enable improvement of modern rice varieties for tolerance to multiple abiotic stresses free from undesirable linkage drag.

Authors:  Arvind Kumar; Nitika Sandhu; Challa Venkateshwarlu; Rahul Priyadarshi; Shailesh Yadav; Ratna Rani Majumder; Vikas Kumar Singh
Journal:  Sci Rep       Date:  2020-08-04       Impact factor: 4.379

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