Chemometric Analysis Of Oil Palm (Elaeisguineensis Jacq. ) Germplasm From Senegal And Gambia
Estimation of genetic diversity and determination of the relationships between collections are useful strategies for ensuring efficient germplasm collection and utilization. Oil palm germplasm materials collected from Senegal and Gambia maintained at the MPOB Kluang Station were characterized for...
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my-usim-ddms-12336 |
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uketd_dc |
| institution |
Universiti Sains Islam Malaysia |
| collection |
USIM Institutional Repository |
| language |
English |
| topic |
Oil palm germplasm genetic diversity chemometrics Principal Component Analysis cluster analysis |
| spellingShingle |
Oil palm germplasm genetic diversity chemometrics Principal Component Analysis cluster analysis Hana Saleh Alhadi Abdarhman Chemometric Analysis Of Oil Palm (Elaeisguineensis Jacq. ) Germplasm From Senegal And Gambia |
| description |
Estimation of genetic diversity and determination of the relationships between
collections are useful strategies for ensuring efficient germplasm collection and
utilization. Oil palm germplasm materials collected from Senegal and Gambia
maintained at the MPOB Kluang Station were characterized for genetic diversity. A
total of 44 agronomic traits of these oil palm materials were subjected to simple
statistics to evaluate the genetic variability; and two chemometric techniques (PCA
and Cluster analysis) to identify the characters contributing to the overall variation and
classify the materials based on similarity. Results of the variability profile showed that
the Senegal and Gambia oil palm germplasm exhibited low to high variability for the
various traits. Nine principal components with eigenvalue >1 accounted for 88 % of
the total variation with PCI capturing majority of the variation. Most of the traits
especially, FFB, ABW, BWT, MFW, P/B, M/F, OY, TEP, TDM, BDM, e, S/F, K/F,
O/B and K/B contributed to divergence between and within the germplasm, indicating
that wide variation exists in the germplasm materials studied. Ward's cluster analysis
based on the PCA results grouped the 42 oil palm accessions into six clusters with
cluster-VI having the highest number of members. Furthermore, there was no
association between genetic diversity and geographical origin. Means of the
agronomic traits of each cluster showed that cluster-III had the highest mean value of
yield traits. Also, the cluster groups having high mean values for desired traits could
be selected for the traits per se. These accessions could be used to produce high
yielding oil palm materials. |
| format |
Thesis |
| author |
Hana Saleh Alhadi Abdarhman |
| author_facet |
Hana Saleh Alhadi Abdarhman |
| author_sort |
Hana Saleh Alhadi Abdarhman |
| title |
Chemometric Analysis Of Oil Palm (Elaeisguineensis Jacq. ) Germplasm From Senegal And Gambia |
| title_short |
Chemometric Analysis Of Oil Palm (Elaeisguineensis Jacq. ) Germplasm From Senegal And Gambia |
| title_full |
Chemometric Analysis Of Oil Palm (Elaeisguineensis Jacq. ) Germplasm From Senegal And Gambia |
| title_fullStr |
Chemometric Analysis Of Oil Palm (Elaeisguineensis Jacq. ) Germplasm From Senegal And Gambia |
| title_full_unstemmed |
Chemometric Analysis Of Oil Palm (Elaeisguineensis Jacq. ) Germplasm From Senegal And Gambia |
| title_sort |
chemometric analysis of oil palm (elaeisguineensis jacq. ) germplasm from senegal and gambia |
| granting_institution |
Universiti Sains Islam Malaysia |
| url |
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my-usim-ddms-123362024-05-29T20:20:27Z Chemometric Analysis Of Oil Palm (Elaeisguineensis Jacq. ) Germplasm From Senegal And Gambia Hana Saleh Alhadi Abdarhman Estimation of genetic diversity and determination of the relationships between collections are useful strategies for ensuring efficient germplasm collection and utilization. Oil palm germplasm materials collected from Senegal and Gambia maintained at the MPOB Kluang Station were characterized for genetic diversity. A total of 44 agronomic traits of these oil palm materials were subjected to simple statistics to evaluate the genetic variability; and two chemometric techniques (PCA and Cluster analysis) to identify the characters contributing to the overall variation and classify the materials based on similarity. Results of the variability profile showed that the Senegal and Gambia oil palm germplasm exhibited low to high variability for the various traits. Nine principal components with eigenvalue >1 accounted for 88 % of the total variation with PCI capturing majority of the variation. Most of the traits especially, FFB, ABW, BWT, MFW, P/B, M/F, OY, TEP, TDM, BDM, e, S/F, K/F, O/B and K/B contributed to divergence between and within the germplasm, indicating that wide variation exists in the germplasm materials studied. Ward's cluster analysis based on the PCA results grouped the 42 oil palm accessions into six clusters with cluster-VI having the highest number of members. Furthermore, there was no association between genetic diversity and geographical origin. Means of the agronomic traits of each cluster showed that cluster-III had the highest mean value of yield traits. Also, the cluster groups having high mean values for desired traits could be selected for the traits per se. These accessions could be used to produce high yielding oil palm materials. Universiti Sains Islam Malaysia 2015-05 Thesis en https://oarep.usim.edu.my/handle/123456789/12336 https://oarep.usim.edu.my/bitstreams/c61e36a7-7221-4316-8b83-ce772ed498b6/download 8a4605be74aa9ea9d79846c1fba20a33 https://oarep.usim.edu.my/bitstreams/25d3f7ee-319b-4dcd-a5e8-e471d6ea4b72/download aa62a95ca8da5dc38da456b1c8f239b3 https://oarep.usim.edu.my/bitstreams/d3af0715-6638-43be-8afe-c0b21bf1e294/download c20d747ae027a74628aa59feb5a29f0c https://oarep.usim.edu.my/bitstreams/706b7c82-f159-43b9-bfe5-16512a6a1e2c/download d2a620592f99d187e55d4549df647313 https://oarep.usim.edu.my/bitstreams/614f49b8-fde2-4a51-a01b-278f5a8ef04d/download c5fe9823cd92fd7477dde33c88de7a0b https://oarep.usim.edu.my/bitstreams/53eb9b25-0019-40f0-8a6b-8da1d3b1004e/download 441007381c2146fef35bfed89adbe4fb https://oarep.usim.edu.my/bitstreams/ccc00f09-9670-4730-9978-c339f0d7266d/download 642fbeb1189f69cf8cf425eedd3fe077 https://oarep.usim.edu.my/bitstreams/7b1c7ec8-5fec-4040-8055-90d6b59b1bd9/download d507826066ae93befbabad95405af711 https://oarep.usim.edu.my/bitstreams/be09f236-50cc-47cf-bf4b-06af02240d8e/download 8272adee57283d8fdd01946dffad9e67 https://oarep.usim.edu.my/bitstreams/3a8f607a-a47b-4978-9263-1b600150263e/download 9a51d4cadb4cd1bf965ca993f1b1c494 https://oarep.usim.edu.my/bitstreams/ca9398cb-d572-4eec-bca3-8de4566026de/download b62da729205fa2e679f78c4efc728067 https://oarep.usim.edu.my/bitstreams/bb4874db-5859-4f7e-a8cb-33305741ff3e/download ab5f194eb8665263b873556226feeca8 https://oarep.usim.edu.my/bitstreams/7bc00077-58c3-45e3-98a8-22a65b0bb664/download d5e5e9d4fa907c034b4dd9db200ecbc5 https://oarep.usim.edu.my/bitstreams/e0bf31a7-cf14-4cf9-9872-addc10909923/download 1696d944636a17620b1258d9c8c8c9f7 https://oarep.usim.edu.my/bitstreams/1a0f056a-22ff-42cc-b92d-e2addeda80f6/download 325c75f901aa025201e472b77d4ab35f https://oarep.usim.edu.my/bitstreams/30b207a4-2f09-4f8c-ad2a-d94d9a7b4a50/download 4017598467e76b31cfc52c179afc7c1f https://oarep.usim.edu.my/bitstreams/3c26d148-9a09-48e2-8b22-a40951a0df16/download b8198c625d6dddcc531a09e15ca174d9 https://oarep.usim.edu.my/bitstreams/eba7151f-7ebf-4780-bed0-7e92e45e3e17/download a0a704f4bc9630910d459df54c0da151 https://oarep.usim.edu.my/bitstreams/9167652c-0540-4a3e-8908-1b29af67227d/download 3f6bcba99755c7241e3d5036d5edc051 Oil palm germplasm genetic diversity chemometrics Principal Component Analysis cluster analysis |