Article Fingerprint
ReserarchID
7NV6J
A study was conducted to assess the genetic diversity of locally collected cucumber germplasm by using morphological markers at the Plant Genetic Resources Centre of the Bangladesh Agricultural Research Institute, Gazipur, Bangladesh during March to August 2017. Quantification of variability for each character was done by using Shannon Weaver Diversity Index (SWDI). Characterization data were further subjected to Principal Component Analysis (PCA). The collection exhibited medium to high variations for both the qualitative and quantitative characters as reflected by mean diversity indices 0.62 and 0.63 respectively. Two phonological characters viz. days to harvest and days to pistilate flower respectively showed the weakest indices 0.26 and 0.32. First four principal components accounted for 80% of the observed variations. Analysis of the factor loading of component characters showed that fruit characters to be the major attributes of variation. Cluster analysis performed on the germplasm gave 3 distinct clusters. Genotypes AMA-406and Ac-207 in cluster I found to be potential for breeding purpose.
Md. Nazirul Islam. 2019. \u201cMorphological Diversity in Indigenous Cucumber Genotypes of Bangladesh\u201d. Global Journal of Science Frontier Research - D: Agriculture & Veterinary GJSFR-D Volume 18 (GJSFR Volume 18 Issue D8).
Crossref Journal DOI 10.17406/GJSFR
Print ISSN 0975-5896
e-ISSN 2249-4626
Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.
Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.
Total Score: 104
Country: Unknown
Subject: Global Journal of Science Frontier Research - D: Agriculture & Veterinary
Authors: Md. Nazirul Islam, Iftekhar Ahmed, A.K. Azad, A.K. Azad (PhD/Dr. count: 0)
View Count (all-time): 163
Total Views (Real + Logic): 2774
Total Downloads (simulated): 1292
Publish Date: 2019 01, Fri
Monthly Totals (Real + Logic):
This study aims to comprehensively analyse the complex interplay between
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.