Evidence map›Paper›PMID 35968099›Full record

ArticleFrontiers in plant science2022

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

Danish Ibrar, Shahbaz Khan, Talat Mahmood, Ali Bakhsh, Irum Aziz, Afroz Rais, Rafiq Ahmad, Saqib Bashir, Muhammad Nawaz, Nabila Rashid and 5 more

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Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Danish IbrarNational Agricultural Research Centre, Islamabad, Pakistan.
Shahbaz KhanNational Agricultural Research Centre, Islamabad, Pakistan.
Talat MahmoodDepartment of Plant Breeding and Genetics, Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, Rawalpindi, Pakistan.
Ali BakhshDepartment of Plant Breeding and Genetics, Ghazi University, Dera Ghazi Khan, Pakistan.
Irum AzizDepartment of Plant Breeding and Genetics, Ghazi University, Dera Ghazi Khan, Pakistan.
Afroz RaisDepartment of Botany, Sardar Bahadur Khan Women's University, Quetta, Pakistan.
Rafiq AhmadBarani Agriculture Research Institute, Chakwal, Pakistan.
Saqib BashirDepartment of Soil and Environmental Science, Ghazi University, Dera Ghazi Khan, Pakistan.
Muhammad NawazDepartment of Agricultural Engineering, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan.
Nabila RashidDepartment of Botany, University of Agriculture, Faisalabad, Pakistan.
Sohail IrshadDepartment of Agronomy, MNS-University of Agriculture, Multan, Pakistan.
Saqer S AlotaibiDepartment of Biotechnology, College of Science, Taif University, Taif, Saudi Arabia.
Helena DvorackovaDepartment of Agrochemistry, Soil Science, Microbiology and Plant Nutrition, Faculty of AgriSciences, Mendel University in Brno, Brno, Czechia.
Jan DvoracekPedologiejh, spol s.r.o, Brno, Czechia.
Zuhair HasnainDepartment of Agronomy, Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, Rawalpindi, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

heterosismorphologicalmultivariateSSRsunfloweryield

Identifiers

PMID35968099
PMCPMC9366523

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