Literature DB >> 23572904

Identification of genetically diverse genotypes for photoperiod insensitivity in soybean using RAPD markers.

R K Singh1, V S Bhatia, Sanjeev Yadav, Rashmi Athale, N Lakshmi, K N Guruprasad, G S Chauhan.   

Abstract

Most of the Indian soybean varieties were found to be highly sensitive to photoperiod, which limits their cultivation in only localized area. Identification of genetically diverse source of photoperiod insensitive would help to broaden the genetic base for this trait. Present study was undertaken with RAPD markers for genetic diversity estimation in 44 accessions of soybean differing in response to photoperiod sensitivity. The selected twenty-five RAPD primers produced a total of 199 amplicons, which generated 89.9 % polymorphism. The number of amplification products ranged from 2 to 13 for different primers. The polymorphism information content ranged from 0.0 for monomorphic loci to 0.5 with an average of 0.289. Genetic diversity between pairs of genotypes was 37.7% with a range of 3.9 to 71.6%. UPGMA cluster analysis placed all the accessions of soybean into four major clusters. No discernable geographical patterns were observed in clustering however; the smaller groups corresponded well with pedigree. Mantel's test (r = 0.915) indicates very good fit for clustering pattern. Two genotypes, MACS 330 and 111/2/1939 made a very divergent group from other accessions of soybean and highly photoperiod insensitive that may be potential source for broadening the genetic base of soybean for this trait.

Entities:  

Keywords:  Genetic diversity; Photoperiod; RAPD; Soybean; UPGMA

Year:  2009        PMID: 23572904      PMCID: PMC3550635          DOI: 10.1007/s12298-008-0036-9

Source DB:  PubMed          Journal:  Physiol Mol Biol Plants        ISSN: 0974-0430


  1 in total

1.  Evaluation of soybean RFLP marker diversity in adapted germ plasm.

Authors:  P Keim; W Beavis; J Schupp; R Freestone
Journal:  Theor Appl Genet       Date:  1992-11       Impact factor: 5.699

  1 in total
  2 in total

1.  Genetic relationship, population structure analysis and allelic characterization of flowering and maturity genes E1, E2, E3 and E4 among 90 Indian soybean landraces.

Authors:  Giriraj Kumawat; Arti Yadav; Gyanesh K Satpute; C Gireesh; Rakesh Patel; M Shivakumar; Sanjay Gupta; Suresh Chand; Virender Singh Bhatia
Journal:  Physiol Mol Biol Plants       Date:  2019-01-01

2.  Genetic analyses for deciphering the status and role of photoperiodic and maturity genes in major Indian soybean cultivars.

Authors:  Sanjay Gupta; Virender Singh Bhatia; Giriraj Kumawat; Devshree Thakur; Gourav Singh; Rachana Tripathi; Gyanesh Satpute; Ramgopal Devadas; Sayed Masroor Husain; Suresh Chand
Journal:  J Genet       Date:  2017-03       Impact factor: 1.166

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.