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<p>Total 25 cotton accessions and 25 SSR markers were selected to depict diversity and correlation between the genotypes for fiber quality traits. The existing study was conducted at Biotechnology Laboratory College of Agriculture, Pune and Central laboratory of ICAR-Directorate of Floricultural Research, Keshavnagar, Pune. Out of 25 SSR markers, 17 were amplified and&#xa0;all the markers were polymorphic. Total 71 loci amplified by 17 markers. Out of these, 59 were polymorphic and 12 were monomorphic. The polymorphic information content (PIC) value ranged from 0.18 to 0.82, maximum PIC recorded for JESPR-289 and minimum for CIR-089. The similarity matrix and dendrogram was constructed using Jaccard’s similarity coefficient with NTSYS 2.02i software. The value of coefficient of similarity varied from 0.46 to 0.97. The dendrogram revealed that two major clusters were formed among 25 cotton genotypes. Cluster I contain twenty one genotypes while Cluster II contain four genotypes. The correlation was calculated. Total of 7 markers were found to be correlated with fiber quality. Out of that seven markers, BNL-3090 and BNL-3867 were found to positively correlated with all three fiber quality parameters. The remaining five BNL-1059, BNL-3147, BNL-3435, BNL-3510 and CIR-413 were positively correlated with length and strength. BNL-3090 and BNL-3867 are only markers found to be correlated with fineness. These molecular markers can be effectively used in future cotton improvement program as well as integrated with DUS descriptor data supporting with DNA fingerprinting analysis.</p>

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Molecular characterization of cotton genotypes using PCR based molecular markers

  • 期刊论文

  • 发表日期：

    2025年5月29日

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  • C. S. Shinde,
  • L. S. Shitole,
  • T. J. Bhor,
  • D. P. Jadhav,
  • R. D. Nimbalkar,
  • R. S. Wagh

摘要

Total 25 cotton accessions and 25 SSR markers were selected to depict diversity and correlation between the genotypes for fiber quality traits. The existing study was conducted at Biotechnology Laboratory College of Agriculture, Pune and Central laboratory of ICAR-Directorate of Floricultural Research, Keshavnagar, Pune. Out of 25 SSR markers, 17 were amplified and all the markers were polymorphic. Total 71 loci amplified by 17 markers. Out of these, 59 were polymorphic and 12 were monomorphic. The polymorphic information content (PIC) value ranged from 0.18 to 0.82, maximum PIC recorded for JESPR-289 and minimum for CIR-089. The similarity matrix and dendrogram was constructed using Jaccard’s similarity coefficient with NTSYS 2.02i software. The value of coefficient of similarity varied from 0.46 to 0.97. The dendrogram revealed that two major clusters were formed among 25 cotton genotypes. Cluster I contain twenty one genotypes while Cluster II contain four genotypes. The correlation was calculated. Total of 7 markers were found to be correlated with fiber quality. Out of that seven markers, BNL-3090 and BNL-3867 were found to positively correlated with all three fiber quality parameters. The remaining five BNL-1059, BNL-3147, BNL-3435, BNL-3510 and CIR-413 were positively correlated with length and strength. BNL-3090 and BNL-3867 are only markers found to be correlated with fineness. These molecular markers can be effectively used in future cotton improvement program as well as integrated with DUS descriptor data supporting with DNA fingerprinting analysis.