Literature DB >> 35716282

DNA marker based diversity across rice genotypes and advanced breeding lines bred for temperate regions of North-West India.

Aafreen Sakina1, Najeebul Rehman Sofi2, Asif B Shikari3, Reyaz R Mir4, M Ashraf Bhat4, Showkat A Waza5, Sofora Jan4, Sumira Rafiqee4, Gazala H Khan3, Shabir H Wani3.   

Abstract

BACKGROUND: Characterization and evaluation of plant genetic resources play an important role for their utilization in the crop improvement programmes. METHODS AND
RESULTS: This study involves the agro-morphological and cooking quality besides, molecular characterization of 51 genotypes/advance breeding lines of rice from Kashmir Himalayas. Significant variability was observed for all agro-morphological and cooking quality traits among all the studied genotypes. Cluster analysis using UPGMA method divided the genotypes into two major clusters having 15 and 36 genotypes. Thirty eight genotypes screened using 24 SSR markers detected 48 alleles with 2.0 alleles for each locus with average polymorphism information content (PIC) of 0.37. High polymorphism information content (PIC) values was observed for the primers RM263 (0.67), RM159 (0.59) and RM333 (0.50). Furthermore, out of 38 SSR markers screened on 192 temperate rice germpalsm lines, R4M17 accurately differentiated indica and temperate japonica genotypes amplifying 220 bp and 169 bp, respectively. Accordingly, 15 genotypes were reported as indica and 28 temperate japonica in addition to 149 genotypes as intermediate types.
CONCLUSION: The information on marker-based diversity and performance based on cooking quality and agronomic traits helped to select the most divergent lines for crossing. Also the analysis was useful to classify the temperate germplasm into indica and temperate japonica. The classification could be helpful to devise a strategy for inter-sub species hybridization to breed for improved rice varieties.
© 2022. The Author(s), under exclusive licence to Springer Nature B.V.

Entities:  

Keywords:  Genetic diversity; Indica; Japonica; Kashmir Himalayas; Molecular markers; Rice; SSRs

Mesh:

Substances:

Year:  2022        PMID: 35716282     DOI: 10.1007/s11033-022-07609-5

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.742


  6 in total

1.  The contribution of intersubspecific hybridization to the breeding of super-high-yielding japonica rice in northeast China.

Authors:  Jian Sun; Di Liu; Jia-Yu Wang; Dian-Rong Ma; Liang Tang; Hong Gao; Zheng-Jin Xu; Wen-Fu Chen
Journal:  Theor Appl Genet       Date:  2012-06-04       Impact factor: 5.699

2.  Genetic diversity and population structure in cultivated sunflower and a comparison to its wild progenitor, Helianthus annuus L.

Authors:  J R Mandel; J M Dechaine; L F Marek; J M Burke
Journal:  Theor Appl Genet       Date:  2011-06-03       Impact factor: 5.699

3.  Optimizing parental selection for genetic linkage maps.

Authors:  J A Anderson; G A Churchill; J E Autrique; S D Tanksley; M E Sorrells
Journal:  Genome       Date:  1993-02       Impact factor: 2.166

4.  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

5.  Microsatellite markers in white-tailed deer.

Authors:  J A DeWoody; R L Honeycutt; L C Skow
Journal:  J Hered       Date:  1995 Jul-Aug       Impact factor: 2.645

Review 6.  Engineering Tissues without the Use of a Synthetic Scaffold: A Twenty-Year History of the Self-Assembly Method.

Authors:  Ingrid Saba; Weronika Jakubowska; Stéphane Bolduc; Stéphane Chabaud
Journal:  Biomed Res Int       Date:  2018-03-08       Impact factor: 3.411

  6 in total

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