International Journal of Plant Science and Ecology
Articles Information
International Journal of Plant Science and Ecology, Vol.7, No.3, Sep. 2021, Pub. Date: Aug. 23, 2021
Principal Components and Cluster Analysis of Open Pollinated Tomato (Solanum lycopersicum L.) Accessions Using Quantitative Descriptors
Pages: 55-60 Views: 746 Downloads: 148
Authors
[01] Kaanjo Tersoo, Department of Botany, University of Agriculture Makurdi, Makurdi, Nigeria.
[02] Iheukwumere Charles Chidozie, Department of Botany, University of Agriculture Makurdi, Makurdi, Nigeria.
[03] Omoigui Lucky Osabuohien, Department of Plant Breeding and Seed Science, University of Agriculture Makurdi, Makurdi, Nigeria.
[04] Ugbaa Macsamuel Sesugh, Department of Plant Breeding and Seed Science, University of Agriculture Makurdi, Makurdi, Nigeria.
[05] Ekeuro Godspower Chibuike, Department of Plant Breeding and Seed Science, University of Agriculture Makurdi, Makurdi, Nigeria.
Abstract
Principal Components and Cluster Analysis were carried out using quantitative descriptors with the aim to analyze the genetic diversity and to identify similar accessions with phylogenetic relationship. Tomato accessions were sourced from; National Centre for Genetic Resources and Biotechnology Ibadan, Agrotropic limited Jos and local farmers in Benue State were planted in the field at the Research and Teaching farm of University of Agriculture Makurdi, in a Randomized Complete Block design with 3 replicates. 18 morphological characters were studied according to set standard by International Plant Genetic Resources Institute tomato descriptor and data were subjected to ANOVA at 95% probability level, significant differences among accession were detected using New Duncan’s Multiple Range Test. Analysis of Variance revealed significant variations for 17 out of the 18 quantitative characters studied among tomato accessions, with the first five principal components accounting for 78% of the total variation among the accessions, revealing vine length and yield of plots per hectare as distinguished traits. The 17 traits were thus useful for characterization and based on them, clustered analysis grouped the tomato accessions into 3 clusters based on Euclidean correlation coefficient distance and two pairs of duplicates (NGB-00713, NGB-00731, NGB-00722, NGB-00721, NGB-00724, NGB-00725 and NGB-00726) were identical and accessions (Rio-Grande, Apaa, Atumba and Gambo) were also identified to be similar accessions thereby reducing the total number of accessions to 13. The results obtained in this study revealed common phylogenetic relationships among the accessions.
Keywords
Tomato, Yield, Quantitative Descriptors, Cluster Analysis and Genetic Diversity
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