SSR marker-based genetic diversity and marker-trait association analysis in aromatic rice (Oryza sativa) landraces
The present study on SSR marker-based genetic diversity and marker-trait association analysis in aromatic rice (Oryza sativa L.) landraces was carried out at R. H. Richharia Research Laboratory, Indira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh during 2020. A total of 25 PCR-based simple s...
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| Format: | Article |
| Language: | English |
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Indian Council of Agricultural Research
2023-05-01
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| Series: | The Indian Journal of Agricultural Sciences |
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| Online Access: | https://epubs.icar.org.in/index.php/IJAgS/article/view/133177 |
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| author | MAUMITA BURMAN SUNIL KUMAR NAIR ABHINAV SAO DEEPAK GAURAHA DEEPAK SHARMA |
| author_facet | MAUMITA BURMAN SUNIL KUMAR NAIR ABHINAV SAO DEEPAK GAURAHA DEEPAK SHARMA |
| author_sort | MAUMITA BURMAN |
| collection | DOAJ |
| description |
The present study on SSR marker-based genetic diversity and marker-trait association analysis in aromatic rice (Oryza sativa L.) landraces was carried out at R. H. Richharia Research Laboratory, Indira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh during 2020. A total of 25 PCR-based simple sequence repeats (SSR) markers were evaluated in a set of 90 aromatic rice landraces along with 6 checks which includes 1 non-aromatic and 5 aromatic check varieties. Phenotypic data for marker-trait association analysis were taken for 24 yield attributing traits. Polymorphic Information Content (PIC) value ranged from 0.52 (RM316) to 0.79 (RM553) with a mean of
0.69 which reveals that all the markers used in this study were highly informative and useful for diversity analysis of a wide range of genotypes. Unweighted Pair Group Method with Arithmetic Mean (UPGMA) and Rho’s similarity based cluster analysis revealed that all 5 aromatic check varieties falls in one cluster while the 1 non-aromatic check variety (Mahamaya) forms a separate cluster. Mixed linear model (MLM) was applied to perform genome-wide association mapping where 41 significant marker-trait associations were observed for 24 yield attributing traits. The potential markers identified in the study may provide new opportunities for rice breeder to improve yield and its attributing traits through marker assisted selection approach.
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| first_indexed | 2024-04-09T14:38:15Z |
| format | Article |
| id | doaj.art-afc4404df10741a6a10770d8b923ac88 |
| institution | Directory Open Access Journal |
| issn | 0019-5022 2394-3319 |
| language | English |
| last_indexed | 2024-04-09T14:38:15Z |
| publishDate | 2023-05-01 |
| publisher | Indian Council of Agricultural Research |
| record_format | Article |
| series | The Indian Journal of Agricultural Sciences |
| spelling | doaj.art-afc4404df10741a6a10770d8b923ac882023-05-03T11:17:48ZengIndian Council of Agricultural ResearchThe Indian Journal of Agricultural Sciences0019-50222394-33192023-05-0193410.56093/ijas.v93i4.133177SSR marker-based genetic diversity and marker-trait association analysis in aromatic rice (Oryza sativa) landracesMAUMITA BURMAN0SUNIL KUMAR NAIR1ABHINAV SAO2DEEPAK GAURAHA3DEEPAK SHARMA4Indira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh 492 012, IndiaIndira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh 492 012, IndiaIndira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh 492 012, IndiaIndira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh 492 012, IndiaIndira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh 492 012, India The present study on SSR marker-based genetic diversity and marker-trait association analysis in aromatic rice (Oryza sativa L.) landraces was carried out at R. H. Richharia Research Laboratory, Indira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh during 2020. A total of 25 PCR-based simple sequence repeats (SSR) markers were evaluated in a set of 90 aromatic rice landraces along with 6 checks which includes 1 non-aromatic and 5 aromatic check varieties. Phenotypic data for marker-trait association analysis were taken for 24 yield attributing traits. Polymorphic Information Content (PIC) value ranged from 0.52 (RM316) to 0.79 (RM553) with a mean of 0.69 which reveals that all the markers used in this study were highly informative and useful for diversity analysis of a wide range of genotypes. Unweighted Pair Group Method with Arithmetic Mean (UPGMA) and Rho’s similarity based cluster analysis revealed that all 5 aromatic check varieties falls in one cluster while the 1 non-aromatic check variety (Mahamaya) forms a separate cluster. Mixed linear model (MLM) was applied to perform genome-wide association mapping where 41 significant marker-trait associations were observed for 24 yield attributing traits. The potential markers identified in the study may provide new opportunities for rice breeder to improve yield and its attributing traits through marker assisted selection approach. https://epubs.icar.org.in/index.php/IJAgS/article/view/133177Aromatic rice, Genetic diversity, Landraces, Molecular markers, Variability |
| spellingShingle | MAUMITA BURMAN SUNIL KUMAR NAIR ABHINAV SAO DEEPAK GAURAHA DEEPAK SHARMA SSR marker-based genetic diversity and marker-trait association analysis in aromatic rice (Oryza sativa) landraces The Indian Journal of Agricultural Sciences Aromatic rice, Genetic diversity, Landraces, Molecular markers, Variability |
| title | SSR marker-based genetic diversity and marker-trait association analysis in aromatic rice (Oryza sativa) landraces |
| title_full | SSR marker-based genetic diversity and marker-trait association analysis in aromatic rice (Oryza sativa) landraces |
| title_fullStr | SSR marker-based genetic diversity and marker-trait association analysis in aromatic rice (Oryza sativa) landraces |
| title_full_unstemmed | SSR marker-based genetic diversity and marker-trait association analysis in aromatic rice (Oryza sativa) landraces |
| title_short | SSR marker-based genetic diversity and marker-trait association analysis in aromatic rice (Oryza sativa) landraces |
| title_sort | ssr marker based genetic diversity and marker trait association analysis in aromatic rice oryza sativa landraces |
| topic | Aromatic rice, Genetic diversity, Landraces, Molecular markers, Variability |
| url | https://epubs.icar.org.in/index.php/IJAgS/article/view/133177 |
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