Literature DB >> 32089524

Variation of grain quality characters and marker-trait association in rice (Oryza sativa L.).

K Suman1, P Madhubabu, Ramya Rathod, D Sanjeeva Rao, A Rojarani, S Prashant, L V Subbarao, V Ravindrababu, C N Neeraja.   

Abstract

A set of 24 genotypes were studied for 17 grain quality characters and validated with the reported associated rice microsatellite markers with grain quality characters. Using 23 polymorphic markers distributed across 11 chromosomes marker-trait associations were studied. The percentage of polymorphism information content (PIC) of the markers ranged between 54.0 and 86.7. Eight markers with >80% and seven markers with >70% of PIC were found to be efficient in differentiating the studied grain quality characters. A total of 37 significant marker-trait associations (P ≤ 0.09) were found with R2 ranging from 4.70% to 43.80%. Eight markers a (RM246, RM11, RM241, RM16427, RM421, RM3, RM234 and RM257) showed association with more than one character suggesting their utility for the selection for grain quality characters which can be deployed in the rice crop improvement programmes.

Entities:  

Year:  2020        PMID: 32089524

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


  10 in total

1.  The three important traits for cooking and eating quality of rice grains are controlled by a single locus in an elite rice hybrid, Shanyou 63.

Authors:  Y F Tan; J X Li; S B Yu; Y Z Xing; C G Xu; Q Zhang
Journal:  Theor Appl Genet       Date:  1999-08       Impact factor: 5.699

2.  The main effects, epistatic effects and environmental interactions of QTLs on the cooking and eating quality of rice in a doubled-haploid line population.

Authors:  C C Fan; X Q Yu; Y Z Xing; C G Xu; L J Luo; Qifa Zhang
Journal:  Theor Appl Genet       Date:  2005-04-20       Impact factor: 5.699

3.  A unified mixed-model method for association mapping that accounts for multiple levels of relatedness.

Authors:  Jianming Yu; Gael Pressoir; William H Briggs; Irie Vroh Bi; Masanori Yamasaki; John F Doebley; Michael D McMullen; Brandon S Gaut; Dahlia M Nielsen; James B Holland; Stephen Kresovich; Edward S Buckler
Journal:  Nat Genet       Date:  2005-12-25       Impact factor: 38.330

4.  TASSEL: software for association mapping of complex traits in diverse samples.

Authors:  Peter J Bradbury; Zhiwu Zhang; Dallas E Kroon; Terry M Casstevens; Yogesh Ramdoss; Edward S Buckler
Journal:  Bioinformatics       Date:  2007-06-22       Impact factor: 6.937

Review 5.  Progress in breeding for trace minerals in staple crops.

Authors:  Glenn B Gregorio
Journal:  J Nutr       Date:  2002-03       Impact factor: 4.798

6.  A gel consistency test for eating quality of rice.

Authors:  G B Cagampang; C M Perez; B O Juliano
Journal:  J Sci Food Agric       Date:  1973-12       Impact factor: 3.638

7.  Computational and experimental analysis of microsatellites in rice (Oryza sativa L.): frequency, length variation, transposon associations, and genetic marker potential.

Authors:  S Temnykh; G DeClerck; A Lukashova; L Lipovich; S Cartinhour; S McCouch
Journal:  Genome Res       Date:  2001-08       Impact factor: 9.043

8.  SSR analysis of genetic diversity among maize inbred lines adapted to cold regions of Japan.

Authors:  H. Enoki; H. Sato; K. Koinuma
Journal:  Theor Appl Genet       Date:  2002-04-19       Impact factor: 5.699

9.  Genetic dissection of rice grain shape using a recombinant inbred line population derived from two contrasting parents and fine mapping a pleiotropic quantitative trait locus qGL7.

Authors:  Xufeng Bai; Lijun Luo; Wenhao Yan; Mallikarjuna Rao Kovi; Wei Zhan; Yongzhong Xing
Journal:  BMC Genet       Date:  2010-02-26       Impact factor: 2.797

Review 10.  Different isoforms of starch-synthesizing enzymes controlling amylose and amylopectin content in rice (Oryza sativa L.).

Authors:  Manish K Pandey; N Shobha Rani; M Sheshu Madhav; R M Sundaram; G S Varaprasad; A K P Sivaranjani; Abhishek Bohra; G Ram Kumar; Anirudh Kumar
Journal:  Biotechnol Adv       Date:  2012-08-31       Impact factor: 14.227

  10 in total

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