Literature DB >> 22835980

A pyramid breeding of eight grain-yield related quantitative trait loci based on marker-assistant and phenotype selection in rice (Oryza sativa L.).

Guo Zong1, Ahong Wang, Lu Wang, Guohua Liang, Minghong Gu, Tao Sang, Bin Han.   

Abstract

1000-Grain weight and spikelet number per panicle are two important components for rice grain yield. In our previous study, eight quantitative trait loci (QTLs) conferring spikelet number per panicle and 1000-grain weight were mapped through sequencing-based genotyping of 150 rice recombinant inbred lines (RILs). In this study, we validated the effects of four QTLs from Nipponbare using chromosome segment substitution lines (CSSLs), and pyramided eight grain yield related QTLs. The new lines containing the eight QTLs with positive effects showed increased panicle and spikelet size as compared with the parent variety 93-11. We further proposed a novel pyramid breeding scheme based on marker-assistant and phenotype selection (MAPS). This scheme allowed pyramiding of as many as 24 QTLs at a single hybridization without massive cross work. This study provided insights into the molecular basis of rice grain yield for direct wealth for high-yielding rice breeding.
Copyright © 2012. Published by Elsevier Ltd.

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Year:  2012        PMID: 22835980     DOI: 10.1016/j.jgg.2012.06.004

Source DB:  PubMed          Journal:  J Genet Genomics        ISSN: 1673-8527            Impact factor:   4.275


  10 in total

Review 1.  Quantitative trait loci from identification to exploitation for crop improvement.

Authors:  Jitendra Kumar; Debjyoti Sen Gupta; Sunanda Gupta; Sonali Dubey; Priyanka Gupta; Shiv Kumar
Journal:  Plant Cell Rep       Date:  2017-03-28       Impact factor: 4.570

Review 2.  Omics: a tool for resilient rice genetic improvement strategies.

Authors:  Muhammad Naeem; Zeeshan Ali; Anzal Khan; Hassan Javed Chaudhary; Javeria Ashraf; Faheem Shahzad Baloch
Journal:  Mol Biol Rep       Date:  2022-03-17       Impact factor: 2.742

3.  Single marker analysis for leaf gas exchange traits from RILS of RD 23 (O. sativa L.) and O. longistaminata.

Authors:  Getachew Melaku; Huang Guangfu; Zhang Shilai; Marlee Labroo; Brian Rhodes; Edward Harold; Fengyi Hu
Journal:  Biotechnol Rep (Amst)       Date:  2022-05-30

Review 4.  Marker-assisted selection for grain number and yield-related traits of rice (Oryza sativa L.).

Authors:  Manoj Kumar Gupta; Ravindra Donde; Gayatri Gouda; Trilochan Mohapatra; Ramakrishna Vadde; Lambodar Behera
Journal:  Physiol Mol Biol Plants       Date:  2020-03-27

Review 5.  Development and use of chromosome segment substitution lines as a genetic resource for crop improvement.

Authors:  Divya Balakrishnan; Malathi Surapaneni; Sukumar Mesapogu; Sarla Neelamraju
Journal:  Theor Appl Genet       Date:  2018-11-27       Impact factor: 5.699

6.  Mendelizing all Components of a Pyramid of Three Yield QTL in Tomato.

Authors:  Amit Gur; Dani Zamir
Journal:  Front Plant Sci       Date:  2015-12-15       Impact factor: 5.753

Review 7.  Recent progress on molecular breeding of rice in China.

Authors:  Yuchun Rao; Yuanyuan Li; Qian Qian
Journal:  Plant Cell Rep       Date:  2014-01-19       Impact factor: 4.570

8.  Pseudo-backcrossing design for rapidly pyramiding multiple traits into a preferential rice variety.

Authors:  Siriphat Ruengphayak; Ekawat Chaichumpoo; Supaporn Phromphan; Wintai Kamolsukyunyong; Wissarut Sukhaket; Ekapol Phuvanartnarubal; Siripar Korinsak; Siriporn Korinsak; Apichart Vanavichit
Journal:  Rice (N Y)       Date:  2015-02-05       Impact factor: 4.783

9.  Genetic basis of maize kernel oil-related traits revealed by high-density SNP markers in a recombinant inbred line population.

Authors:  Hui Fang; Xiuyi Fu; Hanqiu Ge; Aixia Zhang; Tingyu Shan; Yuandong Wang; Ping Li; Baohua Wang
Journal:  BMC Plant Biol       Date:  2021-07-21       Impact factor: 4.215

10.  QTL mapping using an ultra-high-density SNP map reveals a major locus for grain yield in an elite rice restorer R998.

Authors:  Manshan Zhu; Dilin Liu; Wuge Liu; Dan Li; Yilong Liao; Jinhua Li; Chongyun Fu; Fuhong Fu; Huijun Huang; Xueqin Zeng; Xiaozhi Ma; Feng Wang
Journal:  Sci Rep       Date:  2017-09-07       Impact factor: 4.379

  10 in total

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