Literature DB >> 21869469

Quantitative trait loci for rice yield-related traits using recombinant inbred lines derived from two diverse cultivars.

Xu Feng Bai1, Li Jun Luo, Wen Hao Yan, Mallikarjuna Rao Kovi, Yong Zhong Xing.   

Abstract

The thousand-grain weight and spikelets per panicle directly contribute to rice yield. Heading date and plant height also greatly influence the yield. Dissection of genetic bases of yield-related traits would provide tools for yield improvement. In this study, quantitative trait loci (QTL) mapping for spikelets per panicle, thousand-grain weight, heading date and plant height was performed using recombinant inbred lines derived from a cross between two diverse cultivars, Nanyangzhan and Chuan7. In total, 20 QTLs were identified for four traits. They were located to 11 chromosomes except on chromosome 4. Seven and five QTLs were detected for thousand-grain weight and spikelets per panicle, respectively. Four QTLs were identified for both heading date and plant height. About half the QTLs were commonly detected in both years, 2006 and 2007. Six QTLs are being reported for the first time. Two QTL clusters were identified in regions flanked by RM22065 and RM5720 on chromosome 7 and by RM502 and RM264 on chromosome 8, respectively. The parent, Nanyangzhan with heavy thousand-grain weight, carried alleles with increased effects on all seven thousand-grain weight QTL, which explained why there was no transgressive segregation for thousand-grain weight in the population. In contrast, Chuan7 with more spikelets per panicle carried positive alleles at all five spikelets per panicle QTL except qspp5. Further work on distinction between pleiotropic QTL and linked QTL is needed in two yield-related QTL clusters.

Entities:  

Mesh:

Year:  2011        PMID: 21869469     DOI: 10.1007/s12041-011-0057-y

Source DB:  PubMed          Journal:  J Genet        ISSN: 0022-1333            Impact factor:   1.166


  33 in total

1.  Hd1, a major photoperiod sensitivity quantitative trait locus in rice, is closely related to the Arabidopsis flowering time gene CONSTANS.

Authors:  M Yano; Y Katayose; M Ashikari; U Yamanouchi; L Monna; T Fuse; T Baba; K Yamamoto; Y Umehara; Y Nagamura; T Sasaki
Journal:  Plant Cell       Date:  2000-12       Impact factor: 11.277

2.  Genetic dissection of a genomic region for a quantitative trait locus, Hd3, into two loci, Hd3a and Hd3b, controlling heading date in rice.

Authors:  L. Monna; X. Lin; S. Kojima; T. Sasaki; M. Yano
Journal:  Theor Appl Genet       Date:  2002-02-06       Impact factor: 5.699

3.  A QTL for rice grain width and weight encodes a previously unknown RING-type E3 ubiquitin ligase.

Authors:  Xian-Jun Song; Wei Huang; Min Shi; Mei-Zhen Zhu; Hong-Xuan Lin
Journal:  Nat Genet       Date:  2007-04-08       Impact factor: 38.330

4.  Deletion in a gene associated with grain size increased yields during rice domestication.

Authors:  Ayahiko Shomura; Takeshi Izawa; Kaworu Ebana; Takeshi Ebitani; Hiromi Kanegae; Saeko Konishi; Masahiro Yano
Journal:  Nat Genet       Date:  2008-07-06       Impact factor: 38.330

5.  Isolation and initial characterization of GW5, a major QTL associated with rice grain width and weight.

Authors:  Jianfeng Weng; Suhai Gu; Xiangyuan Wan; He Gao; Tao Guo; Ning Su; Cailin Lei; Xin Zhang; Zhijun Cheng; Xiuping Guo; Jiulin Wang; Ling Jiang; Huqu Zhai; Jianmin Wan
Journal:  Cell Res       Date:  2008-12       Impact factor: 25.617

6.  Natural variation in Ghd7 is an important regulator of heading date and yield potential in rice.

Authors:  Weiya Xue; Yongzhong Xing; Xiaoyu Weng; Yu Zhao; Weijiang Tang; Lei Wang; Hongju Zhou; Sibin Yu; Caiguo Xu; Xianghua Li; Qifa Zhang
Journal:  Nat Genet       Date:  2008-05-04       Impact factor: 38.330

7.  Ehd1, a B-type response regulator in rice, confers short-day promotion of flowering and controls FT-like gene expression independently of Hd1.

Authors:  Kazuyuki Doi; Takeshi Izawa; Takuichi Fuse; Utako Yamanouchi; Takahiko Kubo; Zenpei Shimatani; Masahiro Yano; Atsushi Yoshimura
Journal:  Genes Dev       Date:  2004-04-12       Impact factor: 11.361

8.  Fine mapping SPP1, a QTL controlling the number of spikelets per panicle, to a BAC clone in rice (Oryza sativa).

Authors:  Touming Liu; Donghai Mao; Shengpeng Zhang; Caiguo Xu; Yongzhong Xing
Journal:  Theor Appl Genet       Date:  2009-03-06       Impact factor: 5.699

9.  Identification of QTLs affecting traits of agronomic importance in a recombinant inbred population derived from a subspecific rice cross.

Authors:  J Xiao; J Li; L Yuan; S D Tanksley
Journal:  Theor Appl Genet       Date:  1996-02       Impact factor: 5.699

10.  Identification of QTLs for some agronomic traits in rice using an introgression line from Oryza minuta.

Authors:  Md Lutfor Rahman; Sang Ho Chu; Min-Sun Choi; Yong Li Qiao; Wenzhu Jiang; Rihua Piao; Sakina Khanam; Young-Il Cho; Ji-Ung Jeung; Kshirod Jena; Hee-Jong Koh
Journal:  Mol Cells       Date:  2007-08-31       Impact factor: 5.034

View more
  15 in total

1.  Field level evaluation of rice introgression lines for heat tolerance and validation of markers linked to spikelet fertility.

Authors:  V Vishnu Prasanth; Kumari Ramana Basava; M Suchandranath Babu; Venkata Tripura V G N; S J S Rama Devi; S K Mangrauthia; S R Voleti; N Sarla
Journal:  Physiol Mol Biol Plants       Date:  2016-04-15

2.  QTL mapping and correlation analysis for 1000-grain weight and percentage of grains with chalkiness in rice.

Authors:  Jian-Min Bian; Huan Shi; Cui-Juan Li; Chang-Lan Zhu; Qiu-Ying Yu; Xiao-Song Peng; Jun-Ru Fu; Xiao-Peng He; Xiao-Rong Chen; Li-Fang Hu; Lin-Juan Ouyang; Hao-Hua He
Journal:  J Genet       Date:  2013       Impact factor: 1.166

3.  Mapping novel QTLs for yield related traits from a popular rice hybrid KRH-2 derived doubled haploid (DH) population.

Authors:  Swapnil Ravindra Kulkarni; S M Balachandran; R M Sundaram; K Ulaganathan; Divya Balakrishnan; A S Hari Prasad; G Rekha; M B V N Kousik; S K Hajira; Ravindra Ramarao Kale; D Aleena; M Anila; E Punniakoti; T Dilip; K Pranathi; M Ayyappa Das; Mastanbee Shaik; K Chaitra; Pragya Sinha
Journal:  3 Biotech       Date:  2021-11-29       Impact factor: 2.406

4.  Mapping QTLs for yield and photosynthesis-related traits in three consecutive backcross populations of Oryza sativa cultivar Cottondora Sannalu (MTU1010) and Oryza rufipogon.

Authors:  Venkateswara Rao Yadavalli; Divya Balakrishnan; Malathi Surapaneni; Krishnamraju Addanki; Sukumar Mesapogu; Kavitha Beerelli; Subrahmanyam Desiraju; Sitapati Rao Voleti; Sarla Neelamraju
Journal:  Planta       Date:  2022-09-07       Impact factor: 4.540

5.  Genetic Analysis of Agronomic Traits and Grain Iron and Zinc Concentrations in a Doubled Haploid Population of Rice (Oryza sativa L.).

Authors:  Mark Ian C Calayugan; Andrea Kariza Formantes; Amery Amparado; Gwen Iris Descalsota-Empleo; Chau Thanh Nha; Mary Ann Inabangan-Asilo; Zin Mar Swe; Jose E Hernandez; Teresita H Borromeo; Antonio G Lalusin; Merlyn S Mendioro; Ma Genaleen Q Diaz; Celia B Dela Viña; Russell Reinke; B P Mallikarjuna Swamy
Journal:  Sci Rep       Date:  2020-02-10       Impact factor: 4.379

6.  Detection of QTLs for Plant Height Architecture Traits in Rice (Oryza sativa L.) by Association Mapping and the RSTEP-LRT Method.

Authors:  Hélder Manuel Sitoe; Yuanqing Zhang; Siqi Chen; Yulong Li; Mehtab Ali; Ognigamal Sowadan; Benjamin Karikari; Erbao Liu; Xiaojing Dang; Hujun Qian; Delin Hong
Journal:  Plants (Basel)       Date:  2022-04-06

7.  Genetic Basis Underlying Correlations Among Growth Duration and Yield Traits Revealed by GWAS in Rice (Oryza sativa L.).

Authors:  Fengmei Li; Jianyin Xie; Xiaoyang Zhu; Xueqiang Wang; Yan Zhao; Xiaoqian Ma; Zhanying Zhang; Muhammad A R Rashid; Zhifang Zhang; Linran Zhi; Shuyang Zhang; Jinjie Li; Zichao Li; Hongliang Zhang
Journal:  Front Plant Sci       Date:  2018-05-22       Impact factor: 5.753

8.  Genetic dissection of grain traits in Yamadanishiki, an excellent sake-brewing rice cultivar.

Authors:  Satoshi Okada; Miki Suehiro; Kaworu Ebana; Kiyosumi Hori; Akio Onogi; Hiroyoshi Iwata; Masanori Yamasaki
Journal:  Theor Appl Genet       Date:  2017-09-08       Impact factor: 5.699

9.  QTL mapping reveals a tight linkage between QTLs for grain weight and panicle spikelet number in rice.

Authors:  Xiao Luo; Shi-Dong Ji; Ping-Rong Yuan; Hyun-Sook Lee; Dong-Min Kim; Sangshetty Balkunde; Ju-Won Kang; Sang-Nag Ahn
Journal:  Rice (N Y)       Date:  2013-11-28       Impact factor: 4.783

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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.