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http://repository.ipb.ac.id/handle/123456789/127493| Title: | Cluster Analysis for Creating a Core Collection of Cassava (Manihot esculenta C.) Germplasm |
| Authors: | Saefuddin, Asep Sutoro Imaniar, Linda |
| Issue Date: | 2011 |
| Publisher: | IPB (Bogor Agricultural University) |
| Abstract: | anihot esculenta C.) Germplasm. Advised by ASEP SAEFUDDIN dan SUTORO Cassava that are locally often called as tapioca, sampeu, cassava is Manihot esculenta Crantz species, from the family Euphorbiaceae, originally from Brazil, the Amazon region. The development of cassava needs upgrading to improve the productivity of cassava. Its productivity can be enhanced by the presence of plant breeding. Genetic variability of germplasm is needed to produce superior varieties. Although there is an increase in the number of germplasm accessions in gene bank, there is no corresponding increase in their use by crop improvement scientists, indicating that collection were not being used their full potential. This is due to the lack of funding for research and limited human resources. Therefore, to solve the problems, developing core collection is necessary. Core collection is a germplasm sample in the range that exists in the entire collection. Statistical methods used in the core collection are clustering and allocation sampling. Therefore breeders need same indicates for creating core collection. The first index refers to the average of absolute differences between variances across all of the characteristic in the core and entire collections relative to the means in entire collection, MD%. The other index is the average of the absolute differences between variances across all of the characteristic in the core and entire collections relative to the variances in entire collection, VD%. The result shows that the two allocation sampling methods are good enough to construct core collection. However, stratified random sampling always has higher value than two stage random sampling for all evaluation of parameters. |
| URI: | http://repository.ipb.ac.id/handle/123456789/127493 |
| Appears in Collections: | UT - Statistics and Data Sciences |
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|---|---|---|---|---|
| G11lim.pdf Restricted Access | Fulltext | 447.03 kB | Adobe PDF | View/Open |
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