Molecular markers-based DNA fingerprinting coupled with morphological diversity analysis for prediction of heterotic grouping in sunflower (

SSR heterosis morphological multivariate sunflower yield

Journal

Frontiers in plant science
ISSN: 1664-462X
Titre abrégé: Front Plant Sci
Pays: Switzerland
ID NLM: 101568200

Informations de publication

Date de publication:
2022
Historique:
received: 10 04 2022
accepted: 27 06 2022
entrez: 15 8 2022
pubmed: 16 8 2022
medline: 16 8 2022
Statut: epublish

Résumé

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.

Identifiants

pubmed: 35968099
doi: 10.3389/fpls.2022.916845
pmc: PMC9366523
doi:

Types de publication

Journal Article

Langues

eng

Pagination

916845

Informations de copyright

Copyright © 2022 Ibrar, Khan, Mahmood, Bakhsh, Aziz, Rais, Ahmad, Bashir, Nawaz, Rashid, Irshad, Alotaibi, Dvorackova, Dvoracek and Hasnain.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Danish Ibrar (D)

National Agricultural Research Centre, Islamabad, Pakistan.
Department of Plant Breeding and Genetics, Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, Rawalpindi, Pakistan.

Shahbaz Khan (S)

National Agricultural Research Centre, Islamabad, Pakistan.

Talat Mahmood (T)

Department of Plant Breeding and Genetics, Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, Rawalpindi, Pakistan.

Ali Bakhsh (A)

Department of Plant Breeding and Genetics, Ghazi University, Dera Ghazi Khan, Pakistan.

Irum Aziz (I)

Department of Plant Breeding and Genetics, Ghazi University, Dera Ghazi Khan, Pakistan.

Afroz Rais (A)

Department of Botany, Sardar Bahadur Khan Women's University, Quetta, Pakistan.

Rafiq Ahmad (R)

Barani Agriculture Research Institute, Chakwal, Pakistan.

Saqib Bashir (S)

Department of Soil and Environmental Science, Ghazi University, Dera Ghazi Khan, Pakistan.

Muhammad Nawaz (M)

Department of Agricultural Engineering, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan.

Nabila Rashid (N)

Department of Botany, University of Agriculture, Faisalabad, Pakistan.

Sohail Irshad (S)

Department of Agronomy, MNS-University of Agriculture, Multan, Pakistan.

Saqer S Alotaibi (SS)

Department of Biotechnology, College of Science, Taif University, Taif, Saudi Arabia.

Helena Dvorackova (H)

Department of Agrochemistry, Soil Science, Microbiology and Plant Nutrition, Faculty of AgriSciences, Mendel University in Brno, Brno, Czechia.

Jan Dvoracek (J)

Pedologiejh, spol s.r.o, Brno, Czechia.

Zuhair Hasnain (Z)

Department of Agronomy, Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, Rawalpindi, Pakistan.

Classifications MeSH