Multivariate and Association Analyses of Various Seed Yield Contributing Traits Divulge Genetic Diversity Among Pisum sativum L. Genotypes
cg.authorship.types | CGIAR and developing country institute | en |
cg.authorship.types | CGIAR and advanced research institute | en |
cg.contributor.affiliation | University of Agriculture, Faisalabad | en |
cg.contributor.affiliation | Agricultural College of Yangzhou University | en |
cg.contributor.affiliation | Zhejiang University | en |
cg.contributor.affiliation | The Islamia University of Bahawalpur | en |
cg.contributor.affiliation | International Potato Center | en |
cg.contributor.affiliation | Quaid-i-Azam University | en |
cg.contributor.affiliation | King Saud University | en |
cg.contributor.affiliation | Western Caspian University | en |
cg.howPublished | Formally Published | en |
cg.identifier.doi | https://doi.org/10.1007/s11105-025-01533-1 | en |
cg.isijournal | ISI Journal | en |
cg.issn | 1572-9818 | en |
cg.journal | Plant Molecular Biology Reporter | en |
cg.reviewStatus | Peer Review | en |
cg.subject.actionArea | Genetic Innovation | |
cg.subject.cip | BREEDING | en |
cg.subject.cip | GENETICS, GENOMICS AND CROP IMPROVEMENT SCIENCES GGCI | en |
cg.subject.cip | GENEBANK | en |
cg.subject.cip | CROP AND SYSTEMS SCIENCES CSS | en |
cg.subject.cip | GENETIC RESOURCES | en |
cg.subject.impactArea | Climate adaptation and mitigation | |
cg.subject.impactArea | Environmental health and biodiversity | |
cg.subject.impactArea | Nutrition, health and food security | |
cg.subject.sdg | SDG 2 - Zero hunger | en |
cg.subject.sdg | SDG 15 - Life on land | en |
cg.subject.sdg | SDG 13 - Climate action | en |
dc.contributor.author | Parveen, N. | en |
dc.contributor.author | Umer, S. | en |
dc.contributor.author | Tan, C. | en |
dc.contributor.author | Jabbar, A. | en |
dc.contributor.author | Kanwal, B. | en |
dc.contributor.author | Haider, I. | en |
dc.contributor.author | Raza, W. | en |
dc.contributor.author | Usma, A. | en |
dc.contributor.author | Mehmood, A. | en |
dc.contributor.author | Junaid, M.B. | en |
dc.contributor.author | Abbasi, S.H. | en |
dc.contributor.author | Alfagham, A.T. | en |
dc.contributor.author | Iqbal, R. | en |
dc.date.accessioned | 2025-03-05T16:56:38Z | en |
dc.date.available | 2025-03-05T16:56:38Z | en |
dc.identifier.uri | https://hdl.handle.net/10568/173488 | |
dc.title | Multivariate and Association Analyses of Various Seed Yield Contributing Traits Divulge Genetic Diversity Among Pisum sativum L. Genotypes | en |
dcterms.abstract | Genetic variability plays a pivotal role in enhancing yield-related traits. A diverse genetic pool offers the potential for combining desirable allelic combinations to improve yield and related characteristics. This study analyzed data from 99 genotypes, focusing on various morphological traits. Correlation analysis revealed significant and positive associations among seed yield per plant, hundred fresh seed weight, and hundred dry seed weight. Principal component analysis (PCA) identified the first four principal components (PCs) with eigenvalues exceeding one, accounting for 64.186% of total variability in morphological traits. PC-1 exhibited positive factor loadings for all morphological traits except number of pods per plant, number of branches per plant, number of seeds per pod, and pod length with hundred fresh seed weight, being the highest contributor. Cluster analysis categorized genotypes into three distinct clusters with Cluster-II, displaying the highest hundred fresh seed weight. Using the Ward’s method, greater distance was observed between Cluster-I and Cluster-III, suggesting that crosses between genotypes from these clusters may yield hybrid vigor in breeding programs and contribute to the selection of desirable genotypes. | en |
dcterms.accessRights | Open Access | |
dcterms.audience | Academics | en |
dcterms.audience | CGIAR | en |
dcterms.audience | Development Practitioners | en |
dcterms.audience | Donors | en |
dcterms.audience | Extension | en |
dcterms.audience | Farmers | en |
dcterms.audience | General Public | en |
dcterms.audience | NGOs | en |
dcterms.audience | Policy Makers | en |
dcterms.audience | Scientists | en |
dcterms.bibliographicCitation | Parveen, N.; Umer, S.; Tan, C.; Jabbar, A.; Kanwal, B.; Haider, I.; Raza, W.; Usma, A.; Mehmood, A.; Junaid, M.B.; Abbasi, S.H.; Alfagham, A.T.; Iqbal, R. 2025. Multivariate and Association Analyses of Various Seed Yield Contributing Traits Divulge Genetic Diversity Among Pisum sativum L. Genotypes. Plant Molecular Biology Reporter. ISSN 1572-9818. https://doi.org/10.1007/s11105-025-01533-1 | en |
dcterms.issued | 2025-01-21 | en |
dcterms.language | en | |
dcterms.license | CC-BY-4.0 | |
dcterms.subject | genetic variation | en |
dcterms.subject | principal component analysis | en |
dcterms.subject | breeding | en |
dcterms.subject | seed | en |
dcterms.subject | yields | en |
dcterms.type | Journal Article |
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