Opportunity, Challenges and Approaches of Multivariate Diversity Analysis for Quantitative Traits of Pulse Crops: A Review

Plant breeding faces the significant challenge of feeding a growing global population on increasingly limited arable land. While advancements have been made in modern breeding practices, the narrow genetic base of many cultivated crops has created vulnerability in their genetic makeup. This undersco...

Full description

Saved in:
Bibliographic Details
Main Authors: Nuru Seid TEHULIE, Fikru MEKONNEN, Agegnehu MEKONNEN, Ahmed HASSEN, Semira EBRAHIM, Solomon ABEBE
Format: Article
Language:English
Published: AcademicPres 2025-05-01
Series:Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca: Agriculture
Subjects:
Online Access:https://journals.usamvcluj.ro/index.php/agriculture/article/view/15111
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849763611172405248
author Nuru Seid TEHULIE
Fikru MEKONNEN
Agegnehu MEKONNEN
Ahmed HASSEN
Semira EBRAHIM
Solomon ABEBE
author_facet Nuru Seid TEHULIE
Fikru MEKONNEN
Agegnehu MEKONNEN
Ahmed HASSEN
Semira EBRAHIM
Solomon ABEBE
author_sort Nuru Seid TEHULIE
collection DOAJ
description Plant breeding faces the significant challenge of feeding a growing global population on increasingly limited arable land. While advancements have been made in modern breeding practices, the narrow genetic base of many cultivated crops has created vulnerability in their genetic makeup. This underscores the necessity for a shift in plant breeding approaches, focusing on expanding the genetic resources utilized. Genetic diversity is widely recognized as a key factor in ensuring food and nutritional security. A deeper understanding of genetic variation will guide the conservation of essential resources. Multivariate techniques are particularly valuable in analyzing the relationships between variables, enabling researchers to explore these connections in a more expansive manner. By incorporating additional variables, methods like cross-tabulation, partial correlation, and multiple regression can clarify the nature of associations. D2 statistics and Principal Component Analysis (PCA) are commonly used to interpret morphological data due to their ease of interpretation. R software is a valuable tool in statistical analysis and data visualization, thanks to its adaptability. The findings from these analyses can inform various breeding strategies, including transgressive breeding, heterosis breeding, and the introduction of foreign genes to enhance specific traits.
format Article
id doaj-art-e65f14411e324ee0a547544cb093966c
institution DOAJ
issn 1843-5246
1843-5386
language English
publishDate 2025-05-01
publisher AcademicPres
record_format Article
series Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca: Agriculture
spelling doaj-art-e65f14411e324ee0a547544cb093966c2025-08-20T03:05:21ZengAcademicPresBulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca: Agriculture1843-52461843-53862025-05-01821192610.15835/buasvmcn-agr:2023.001415111Opportunity, Challenges and Approaches of Multivariate Diversity Analysis for Quantitative Traits of Pulse Crops: A ReviewNuru Seid TEHULIE0Fikru MEKONNEN1Agegnehu MEKONNEN2Ahmed HASSEN3Semira EBRAHIM4Solomon ABEBE5Department of Plant Science, College of Agriculture, Wollo University, Dessie, Ethiopia; Department of Plant Science, College of Agriculture, Mekdela Amba University, Gimba, Ethiopia Department of Plant Science, College of Agriculture, Wollo University, Dessie, EthiopiaDepartment of Plant Science, College of Agriculture, Wollo University, Dessie, Ethiopia; Sirinka Agricultural Research Center (SARC), Sirinka, EthiopiaDepartment of Plant Science, College of Agriculture, Wollo University, Dessie, Ethiopia; Department of Biology, College of Natural and Computational Science, Woldia University, Woldia, Ethiopia Department of Plant Science, College of Agriculture, Wollo University, Dessie, Ethiopia; Department of Biology, College of Natural and Computational Science, Woldia University, Woldia, Ethiopia Department of Plant Science, College of Agriculture, Wollo University, Dessie, Ethiopia; Department of Agriculture, Kombolcha College of Agriculture, Wollo University, Kombolcha, Ethiopia Plant breeding faces the significant challenge of feeding a growing global population on increasingly limited arable land. While advancements have been made in modern breeding practices, the narrow genetic base of many cultivated crops has created vulnerability in their genetic makeup. This underscores the necessity for a shift in plant breeding approaches, focusing on expanding the genetic resources utilized. Genetic diversity is widely recognized as a key factor in ensuring food and nutritional security. A deeper understanding of genetic variation will guide the conservation of essential resources. Multivariate techniques are particularly valuable in analyzing the relationships between variables, enabling researchers to explore these connections in a more expansive manner. By incorporating additional variables, methods like cross-tabulation, partial correlation, and multiple regression can clarify the nature of associations. D2 statistics and Principal Component Analysis (PCA) are commonly used to interpret morphological data due to their ease of interpretation. R software is a valuable tool in statistical analysis and data visualization, thanks to its adaptability. The findings from these analyses can inform various breeding strategies, including transgressive breeding, heterosis breeding, and the introduction of foreign genes to enhance specific traits.https://journals.usamvcluj.ro/index.php/agriculture/article/view/15111approaches; challenges; multivariate diversity; opportunity; quantitative traits.
spellingShingle Nuru Seid TEHULIE
Fikru MEKONNEN
Agegnehu MEKONNEN
Ahmed HASSEN
Semira EBRAHIM
Solomon ABEBE
Opportunity, Challenges and Approaches of Multivariate Diversity Analysis for Quantitative Traits of Pulse Crops: A Review
Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca: Agriculture
approaches; challenges; multivariate diversity; opportunity; quantitative traits.
title Opportunity, Challenges and Approaches of Multivariate Diversity Analysis for Quantitative Traits of Pulse Crops: A Review
title_full Opportunity, Challenges and Approaches of Multivariate Diversity Analysis for Quantitative Traits of Pulse Crops: A Review
title_fullStr Opportunity, Challenges and Approaches of Multivariate Diversity Analysis for Quantitative Traits of Pulse Crops: A Review
title_full_unstemmed Opportunity, Challenges and Approaches of Multivariate Diversity Analysis for Quantitative Traits of Pulse Crops: A Review
title_short Opportunity, Challenges and Approaches of Multivariate Diversity Analysis for Quantitative Traits of Pulse Crops: A Review
title_sort opportunity challenges and approaches of multivariate diversity analysis for quantitative traits of pulse crops a review
topic approaches; challenges; multivariate diversity; opportunity; quantitative traits.
url https://journals.usamvcluj.ro/index.php/agriculture/article/view/15111
work_keys_str_mv AT nuruseidtehulie opportunitychallengesandapproachesofmultivariatediversityanalysisforquantitativetraitsofpulsecropsareview
AT fikrumekonnen opportunitychallengesandapproachesofmultivariatediversityanalysisforquantitativetraitsofpulsecropsareview
AT agegnehumekonnen opportunitychallengesandapproachesofmultivariatediversityanalysisforquantitativetraitsofpulsecropsareview
AT ahmedhassen opportunitychallengesandapproachesofmultivariatediversityanalysisforquantitativetraitsofpulsecropsareview
AT semiraebrahim opportunitychallengesandapproachesofmultivariatediversityanalysisforquantitativetraitsofpulsecropsareview
AT solomonabebe opportunitychallengesandapproachesofmultivariatediversityanalysisforquantitativetraitsofpulsecropsareview