Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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Md. Nazirul Islam
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
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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): 129
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Publish Date: 2019 01, Fri
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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.
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