Genetic Relationships between Elite Oil Palms from Nigeria and Selected Breeding and Germplasm Materials from Malaysia via Simple Sequence Repeat (SSR) Markers
Bibliographic record
Abstract
<p>Nine SSR markers were used to study the genetic relationships among 26 elite oil palm materials from Nigeria and Malaysia. The Nigerian elite materials comprised 15 Nigerian Institute for Oil Palm Research (NIFOR) oil palm parental genotypes. The 11 Malaysian genotypes included 2 <em>dura</em> and 2 <em>pisifera</em> advanced breeding lines, 3 palms from natural populations of Nigeria, and 2 from each of the Angola, and Madagascar natural oil palm collections maintained at the Malaysian Palm Oil Board (MPOB). The results revealed a high percentage of polymorphic loci (83.3%) in the entire materials with average polymorphic information content (PIC) of 0.7325. Two SSR markers showed relatively high PIC namely sMg00016 and sMg00179 (0.8018 and 0.8509, respectively). The mean number of alleles varied from 1.333 in Madagascar germplasm material to 4.889 in NIFOR <em>tenera </em>materials (mean = 2.958). The observed heterozygosity varied from 0.167 in Madagascar material to 0.778 in Nigeria germplasm materials (mean = 0.575) and the expected heterozygosity from 0.153 to 0.643. The various oil palm provenances showed significant genetic differentiation (F<sub>ST</sub> = 0.177, P = 0.001) indicating the existence of a genetic structure among the materials used. UPGMA analysis based on Rogers’ dissimilarity coefficient matrix displayed two main clusters, one separating Madagascar accessions from the rest. PCoA showed that the NIFOR breeding parents clustered closely with MPOB’s Nigeria and Angola-derived materials suggesting a common origin of mainland genotypes. The high genetic diversity observed among the MPOB’s germplasm materials highlights the need for proper characterization of entire NIFOR oil palm germplasm with SSR markers to facilitate effective utilization in the breeding programme.</p>
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".