Principal Components Analysis and Clustering of EX Situ Oil Palm ( Elaeis guineensis Jacq.) Germplasm
Knowledge of genetic variability and relations among germplasm materials is crucial for selection of promising breeding materials and also to ease their utilization by plant breeders. Hence, this research was undertaken to explore the extent of variability and associations of traits in the MPOB-Nige...
Saved in:
| id |
my-usim-ddms-12569 |
|---|---|
| record_format |
uketd_dc |
| institution |
Universiti Sains Islam Malaysia |
| collection |
USIM Institutional Repository |
| language |
English |
| topic |
Oil palm -- Nigeria Palm oil industry germplasm |
| spellingShingle |
Oil palm -- Nigeria Palm oil industry germplasm Li-Hammed Morufat Abimbola Principal Components Analysis and Clustering of EX Situ Oil Palm ( Elaeis guineensis Jacq.) Germplasm |
| description |
Knowledge of genetic variability and relations among germplasm materials is crucial for selection of promising breeding materials and also to ease their utilization by plant breeders. Hence, this research was undertaken to explore the extent of variability and associations of traits in the MPOB-Nigerian oil palm germplasm using simple statistical tools. Pattern of variability in oder to identify the characters which delineate the germplasm materials was as well studied using principal component analysis and cluster analysis. The results of coefficient of variation indicated that wide variability existed for fresh fruit bunch and its components. Estimates from correlation studies high and significant relations between FFB and majority of the traits except the fatty acid traits. PCA based on all the traits studied showed that first eight PC’s having eigenvalues greater than one accounted for 90.53% of the total variation with FFB, ABW, MNW, MF, KF, SF, ODM, OB, KB, OY, TEP, PCS, RL, LL, LW, LN, LA, LAI, BDM, VDM, TDM, e and f being the most important characters on PC1 contributing to the overall variation. Cluster analysis using Ward’s method and single linkage method grouped all germplasm materials based on all traits into eight groups. Slight variation was found in both methods. However, from Ward’s method Cluster 3 and Cluster 4 contained accessions with high yield traits while Cluster 2 contains accessions with good oil quality traits. Genetic distance was maximum in Cluster 1 and Cluster 2 as well as Cluster 1 and Cluster 8. Thus, selection for charaters with high wide variations could be used for oil palm improvement while hybridization between accessions of different clusters with high cluster means for desired traits and maximum distance could be achieved. |
| format |
Thesis |
| author |
Li-Hammed Morufat Abimbola |
| author_facet |
Li-Hammed Morufat Abimbola |
| author_sort |
Li-Hammed Morufat Abimbola |
| title |
Principal Components Analysis and Clustering of EX Situ Oil Palm ( Elaeis guineensis Jacq.) Germplasm |
| title_short |
Principal Components Analysis and Clustering of EX Situ Oil Palm ( Elaeis guineensis Jacq.) Germplasm |
| title_full |
Principal Components Analysis and Clustering of EX Situ Oil Palm ( Elaeis guineensis Jacq.) Germplasm |
| title_fullStr |
Principal Components Analysis and Clustering of EX Situ Oil Palm ( Elaeis guineensis Jacq.) Germplasm |
| title_full_unstemmed |
Principal Components Analysis and Clustering of EX Situ Oil Palm ( Elaeis guineensis Jacq.) Germplasm |
| title_sort |
principal components analysis and clustering of ex situ oil palm ( elaeis guineensis jacq.) germplasm |
| granting_institution |
Universiti Sains Islam Malaysia |
| url |
https://oarep.usim.edu.my/bitstreams/7735f495-7d87-4ffc-95a7-ac4c8490333c/download https://oarep.usim.edu.my/bitstreams/27f4a0b6-be02-41af-a556-8131ab44b060/download https://oarep.usim.edu.my/bitstreams/1e528872-c31a-4ae1-a2ab-c1c777e681e4/download https://oarep.usim.edu.my/bitstreams/a7bee54e-1131-4501-9235-b4afb1951c9e/download https://oarep.usim.edu.my/bitstreams/6b28b590-e535-4d4a-88db-c08ba70f3f3d/download https://oarep.usim.edu.my/bitstreams/2f9e7684-4d77-4eb0-8622-354a62ea0f7e/download https://oarep.usim.edu.my/bitstreams/c35738d7-c95d-4cfc-81ee-af4894180d2f/download https://oarep.usim.edu.my/bitstreams/7ebbcc62-df26-4e64-a982-489391d3b0e9/download https://oarep.usim.edu.my/bitstreams/ef9f7b00-1679-4647-a0c3-e41267ede964/download |
| _version_ |
1812444720445521920 |
| spelling |
my-usim-ddms-125692024-05-29T19:05:25Z Principal Components Analysis and Clustering of EX Situ Oil Palm ( Elaeis guineensis Jacq.) Germplasm Li-Hammed Morufat Abimbola Knowledge of genetic variability and relations among germplasm materials is crucial for selection of promising breeding materials and also to ease their utilization by plant breeders. Hence, this research was undertaken to explore the extent of variability and associations of traits in the MPOB-Nigerian oil palm germplasm using simple statistical tools. Pattern of variability in oder to identify the characters which delineate the germplasm materials was as well studied using principal component analysis and cluster analysis. The results of coefficient of variation indicated that wide variability existed for fresh fruit bunch and its components. Estimates from correlation studies high and significant relations between FFB and majority of the traits except the fatty acid traits. PCA based on all the traits studied showed that first eight PC’s having eigenvalues greater than one accounted for 90.53% of the total variation with FFB, ABW, MNW, MF, KF, SF, ODM, OB, KB, OY, TEP, PCS, RL, LL, LW, LN, LA, LAI, BDM, VDM, TDM, e and f being the most important characters on PC1 contributing to the overall variation. Cluster analysis using Ward’s method and single linkage method grouped all germplasm materials based on all traits into eight groups. Slight variation was found in both methods. However, from Ward’s method Cluster 3 and Cluster 4 contained accessions with high yield traits while Cluster 2 contains accessions with good oil quality traits. Genetic distance was maximum in Cluster 1 and Cluster 2 as well as Cluster 1 and Cluster 8. Thus, selection for charaters with high wide variations could be used for oil palm improvement while hybridization between accessions of different clusters with high cluster means for desired traits and maximum distance could be achieved. Universiti Sains Islam Malaysia 2014-05 Thesis en https://oarep.usim.edu.my/handle/123456789/12569 https://oarep.usim.edu.my/bitstreams/41a58d0b-e411-4cdf-819c-323b908a189d/download 8a4605be74aa9ea9d79846c1fba20a33 https://oarep.usim.edu.my/bitstreams/7735f495-7d87-4ffc-95a7-ac4c8490333c/download e29472c7f4b42417bc359eabfa133f60 https://oarep.usim.edu.my/bitstreams/27f4a0b6-be02-41af-a556-8131ab44b060/download 5d345bcc30214fa8bb04f0a7a81d2c3a https://oarep.usim.edu.my/bitstreams/1e528872-c31a-4ae1-a2ab-c1c777e681e4/download 8bb514c33ab3a7a16c36692a34d2a5f1 https://oarep.usim.edu.my/bitstreams/a7bee54e-1131-4501-9235-b4afb1951c9e/download e6085c3fa70e2ab9dcf8f1fcc2e67161 https://oarep.usim.edu.my/bitstreams/6b28b590-e535-4d4a-88db-c08ba70f3f3d/download db0983a1eae99092a92ee1f3a68b7cb0 https://oarep.usim.edu.my/bitstreams/2f9e7684-4d77-4eb0-8622-354a62ea0f7e/download 271dcaa599b385101ebeed93b0c47fbb https://oarep.usim.edu.my/bitstreams/c35738d7-c95d-4cfc-81ee-af4894180d2f/download 40e2e0a1f1bff7ad33056e69267c5c9c https://oarep.usim.edu.my/bitstreams/7ebbcc62-df26-4e64-a982-489391d3b0e9/download fd8e62da707975fd98fc345334db9af5 https://oarep.usim.edu.my/bitstreams/ef9f7b00-1679-4647-a0c3-e41267ede964/download dd01ddaf77d8f156faa61422220d7b0d https://oarep.usim.edu.my/bitstreams/88c620ed-34cd-42d7-8813-8c29bcb0b9ae/download 68b329da9893e34099c7d8ad5cb9c940 https://oarep.usim.edu.my/bitstreams/24baf5af-f50f-42a3-8c7f-df179c9a1471/download e1ba9598355c1fa6beff03240ae6408e https://oarep.usim.edu.my/bitstreams/398d72c8-61ed-419e-a896-248f2396d4f4/download 5fd766c06524aedd3cba7fbc3f9e2db7 https://oarep.usim.edu.my/bitstreams/4c2f11bc-e70f-4713-bfbf-ee717557950e/download 66140307b71dceb213c1ad949a112f04 https://oarep.usim.edu.my/bitstreams/ad492eaf-f24b-411e-84a5-1f8478f2d335/download 8dfabcaf797d706722437cb6bdfc0636 https://oarep.usim.edu.my/bitstreams/b4abc653-1c43-4cad-a9ae-e4caba3d2fda/download f8445de0b7a23da2bdf2255ebf41ad25 https://oarep.usim.edu.my/bitstreams/e8080693-5963-4a74-8d30-f13ee6baf15e/download b0eff866d949cc60f0a971125076109f https://oarep.usim.edu.my/bitstreams/a88896db-be55-45e9-8616-28b8b847e937/download 4347119580c527421320b94153d5a5fb https://oarep.usim.edu.my/bitstreams/1d654142-0158-43fd-9074-429a145031fa/download b1629d88055cb5b6fefd34e99891d126 Oil palm -- Nigeria Palm oil industry germplasm |