Please use this identifier to cite or link to this item: https://repository.seku.ac.ke/handle/123456789/6247
Title: Phenomic characterization of crotalaria germplasm for crop improvement
Authors: Muli, Joshua K.
Neondo, Johnstone O.
Kamau, Peter K.
Odari, Eddy
Budambula, Nancy L.
Keywords: Crotalaria
Germplasm
Agro-morphology
Genetic diversity
Issue Date: 9-Mar-2021
Citation: CABI Agriculture and Bioscience,2, Article number: 10 (2021)
Abstract: Background: Diversifcation of global food systems through exploration of traditional varieties and wild edible plant species is a focal mitigation strategy for food security worldwide. The present study determined the phenomic diversity of locally available, afordable and climate-resilient cultivated and wild Crotalaria species for breeding purposes. Methods: Seed samples were collected from diferent administrative counties in Kenya spanning diferent climatic zones. Other seeds were provided by the Genetic Resources Research Institute of Kenya. A randomized complete block design with three replications was used for agro-morphological evaluation of the 83 accessions used in this study. Data on quantitative and qualitative traits was collected. Cluster analysis on R and R-studio was used to generate a dendrogram by the Euclidian genetic distance and dissimilarity indices while the non-metric multidimensional scaling (NMDS) method was used to determine the spatial interrelationship between the accessions. The Pearson’s correlation coefcients were used to determine the relationships between qualitative and quantitative traits while the principal component analysis was used to discriminate the accessions. Results: Three edible species (C. brevidens Benth., C. ochroleuca G.Don, C. trichotoma Bojer.) were found to be cultivated by Kenyan farmers and a signifcant variation (p
Description: https://doi.org/10.1186/s43170-021-00031-0
URI: https://link.springer.com/content/pdf/10.1186/s43170-021-00031-0.pdf
http://repository.seku.ac.ke/handle/123456789/6247
Appears in Collections:School of Science and Computing (JA)

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