Molecular markers-based DNA fingerprinting coupled with morphological diversity analysis for prediction of heterotic grouping in sunflower (Helianthus annuus L.)
Cultivated sunflower holds a very narrow genetic base and the efficient utilization of available genetic diversity is very important for a successful breeding program. In the present study, 109 sunflower genotypes were assessed for diversity paneling through a combined approach of morphological and...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-07-01
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| Series: | Frontiers in Plant Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2022.916845/full |
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| author | Danish Ibrar Danish Ibrar Shahbaz Khan Talat Mahmood Ali Bakhsh Irum Aziz Afroz Rais Rafiq Ahmad Saqib Bashir Muhammad Nawaz Nabila Rashid Sohail Irshad Saqer S. Alotaibi Helena Dvorackova Jan Dvoracek Zuhair Hasnain |
| author_facet | Danish Ibrar Danish Ibrar Shahbaz Khan Talat Mahmood Ali Bakhsh Irum Aziz Afroz Rais Rafiq Ahmad Saqib Bashir Muhammad Nawaz Nabila Rashid Sohail Irshad Saqer S. Alotaibi Helena Dvorackova Jan Dvoracek Zuhair Hasnain |
| author_sort | Danish Ibrar |
| collection | DOAJ |
| description | Cultivated sunflower holds a very narrow genetic base and the efficient utilization of available genetic diversity is very important for a successful breeding program. In the present study, 109 sunflower genotypes were assessed for diversity paneling through a combined approach of morphological and molecular markers analysis. Morphological parameters including days to flower initiation, days to flower completion, plant height, stem curvature, number of leaves per plant, leaf area, head diameter, hundred seed weight, and seed yield per plant were studied. Simple sequence repeats (40 DNA markers) were deployed for diversity profiling. Data were analyzed by both univariate and multivariate statistics. SD and coefficient of variation confirm the presence of significant amounts of genetic variation for all the morphological parameters. Cluster Analysis and Principal Component Analysis further confirm the presence of distinct grouping patterns in the studied material. Cluster analysis of both morphological and molecular analysis revealed that restorer lines tend to group separately from A, B, and open-pollinated lines. Further grouping, at the sub-cluster level, revealed six distinct sub-clusters in each of the two major clusters. In total, 12 genotypes, 6 CMS lines (CMS-HAP-12, CMS-HAP-54, CMS-HAP-56, CMS-HAP-99, CMS-HAP-111, and CMS-HAP-112) and 6 restorer lines (RHP-38, RHP-41, RHP-53, RHP-68, RHP-69, and RHP-71) could be used as potential parents for hybrid development. As genotypes of similar genetic backgrounds tend to group closer, it is deduced that one genotype with the highest seed yield per plant could be used for further hybrid breeding programs in sunflowers. |
| first_indexed | 2024-04-14T03:42:33Z |
| format | Article |
| id | doaj.art-ac618aa066a24c0f998a1081e94789bf |
| institution | Directory Open Access Journal |
| issn | 1664-462X |
| language | English |
| last_indexed | 2024-04-14T03:42:33Z |
| publishDate | 2022-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Plant Science |
| spelling | doaj.art-ac618aa066a24c0f998a1081e94789bf2022-12-22T02:14:29ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2022-07-011310.3389/fpls.2022.916845916845Molecular markers-based DNA fingerprinting coupled with morphological diversity analysis for prediction of heterotic grouping in sunflower (Helianthus annuus L.)Danish Ibrar0Danish Ibrar1Shahbaz Khan2Talat Mahmood3Ali Bakhsh4Irum Aziz5Afroz Rais6Rafiq Ahmad7Saqib Bashir8Muhammad Nawaz9Nabila Rashid10Sohail Irshad11Saqer S. Alotaibi12Helena Dvorackova13Jan Dvoracek14Zuhair Hasnain15National Agricultural Research Centre, Islamabad, PakistanDepartment of Plant Breeding and Genetics, Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, Rawalpindi, PakistanNational Agricultural Research Centre, Islamabad, PakistanDepartment of Plant Breeding and Genetics, Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, Rawalpindi, PakistanDepartment of Plant Breeding and Genetics, Ghazi University, Dera Ghazi Khan, PakistanDepartment of Plant Breeding and Genetics, Ghazi University, Dera Ghazi Khan, PakistanDepartment of Botany, Sardar Bahadur Khan Women's University, Quetta, PakistanBarani Agriculture Research Institute, Chakwal, PakistanDepartment of Soil and Environmental Science, Ghazi University, Dera Ghazi Khan, PakistanDepartment of Agricultural Engineering, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, PakistanDepartment of Botany, University of Agriculture, Faisalabad, PakistanDepartment of Agronomy, MNS-University of Agriculture, Multan, Pakistan0Department of Biotechnology, College of Science, Taif University, Taif, Saudi Arabia1Department of Agrochemistry, Soil Science, Microbiology and Plant Nutrition, Faculty of AgriSciences, Mendel University in Brno, Brno, Czechia2Pedologiejh, spol s.r.o, Brno, Czechia3Department of Agronomy, Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, Rawalpindi, PakistanCultivated sunflower holds a very narrow genetic base and the efficient utilization of available genetic diversity is very important for a successful breeding program. In the present study, 109 sunflower genotypes were assessed for diversity paneling through a combined approach of morphological and molecular markers analysis. Morphological parameters including days to flower initiation, days to flower completion, plant height, stem curvature, number of leaves per plant, leaf area, head diameter, hundred seed weight, and seed yield per plant were studied. Simple sequence repeats (40 DNA markers) were deployed for diversity profiling. Data were analyzed by both univariate and multivariate statistics. SD and coefficient of variation confirm the presence of significant amounts of genetic variation for all the morphological parameters. Cluster Analysis and Principal Component Analysis further confirm the presence of distinct grouping patterns in the studied material. Cluster analysis of both morphological and molecular analysis revealed that restorer lines tend to group separately from A, B, and open-pollinated lines. Further grouping, at the sub-cluster level, revealed six distinct sub-clusters in each of the two major clusters. In total, 12 genotypes, 6 CMS lines (CMS-HAP-12, CMS-HAP-54, CMS-HAP-56, CMS-HAP-99, CMS-HAP-111, and CMS-HAP-112) and 6 restorer lines (RHP-38, RHP-41, RHP-53, RHP-68, RHP-69, and RHP-71) could be used as potential parents for hybrid development. As genotypes of similar genetic backgrounds tend to group closer, it is deduced that one genotype with the highest seed yield per plant could be used for further hybrid breeding programs in sunflowers.https://www.frontiersin.org/articles/10.3389/fpls.2022.916845/fullmultivariatesunflowermorphologicalSSRheterosisyield |
| spellingShingle | Danish Ibrar Danish Ibrar Shahbaz Khan Talat Mahmood Ali Bakhsh Irum Aziz Afroz Rais Rafiq Ahmad Saqib Bashir Muhammad Nawaz Nabila Rashid Sohail Irshad Saqer S. Alotaibi Helena Dvorackova Jan Dvoracek Zuhair Hasnain Molecular markers-based DNA fingerprinting coupled with morphological diversity analysis for prediction of heterotic grouping in sunflower (Helianthus annuus L.) Frontiers in Plant Science multivariate sunflower morphological SSR heterosis yield |
| title | Molecular markers-based DNA fingerprinting coupled with morphological diversity analysis for prediction of heterotic grouping in sunflower (Helianthus annuus L.) |
| title_full | Molecular markers-based DNA fingerprinting coupled with morphological diversity analysis for prediction of heterotic grouping in sunflower (Helianthus annuus L.) |
| title_fullStr | Molecular markers-based DNA fingerprinting coupled with morphological diversity analysis for prediction of heterotic grouping in sunflower (Helianthus annuus L.) |
| title_full_unstemmed | Molecular markers-based DNA fingerprinting coupled with morphological diversity analysis for prediction of heterotic grouping in sunflower (Helianthus annuus L.) |
| title_short | Molecular markers-based DNA fingerprinting coupled with morphological diversity analysis for prediction of heterotic grouping in sunflower (Helianthus annuus L.) |
| title_sort | molecular markers based dna fingerprinting coupled with morphological diversity analysis for prediction of heterotic grouping in sunflower helianthus annuus l |
| topic | multivariate sunflower morphological SSR heterosis yield |
| url | https://www.frontiersin.org/articles/10.3389/fpls.2022.916845/full |
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