Evidence map›Paper›PMID 33270707›Full record

ArticlePloS one2020

Genetic variability of bioactive compounds and selection for nutraceutical quality in kola [Cola nitida (Vent) Schott. and Endl.].

Daniel Nyadanu, Samuel Tetteh Lowor, Abraham Akpertey, Dèdéou Apocalypse Tchokponhoué, Prince Pobee, Jerome Agbesi Dogbatse, Daniel Okyere, Frederick Amon-Armah, Micheal Brako-Marfo

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Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Daniel NyadanuCocoa Research Institute of Ghana, New Tafo-Akim, Ghana.ORCID 0000-0003-1674-7400
Samuel Tetteh LoworCocoa Research Institute of Ghana, New Tafo-Akim, Ghana.
Abraham AkperteyCocoa Research Institute of Ghana, New Tafo-Akim, Ghana.
Dèdéou Apocalypse TchokponhouéFaculty of Agronomic Sciences, Laboratory of Genetics, Biotechnology and Seed Science, University of Abomey-Calvi, Abomey-Calavi, Republic of Benin.ORCID 0000-0002-1285-245X
Prince PobeeCocoa Research Institute of Ghana, New Tafo-Akim, Ghana.
Jerome Agbesi DogbatseCocoa Research Institute of Ghana, New Tafo-Akim, Ghana.
Daniel OkyereDepartment of Crop and Soil Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Frederick Amon-ArmahCocoa Research Institute of Ghana, New Tafo-Akim, Ghana.
Micheal Brako-MarfoCocoa Research Institute of Ghana, New Tafo-Akim, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cola nitida known as Kola serves as flavouring ingredient in the food industry and is also of great importance during traditional rites in Africa. Despite the well-known pharmaceutical values of the species, efforts to develop improved varieties with enhanced nutraceutical quality is limited due to unavailability of information on variation of genotypes in bioactive compounds in the nuts. The objectives of this research were to evaluate 25 genotypes of kola for bioactive contents, determine relationship between nutritional and phenolic traits and to identify kola genotypes with good nutraceutical quality for use in developing improved varieties. The kola genotypes were established in the field using a randomized complete block design with three replicates. Nuts harvested from the blocks, were bulked and used to quantify soluble and insoluble sugars, total protein, moisture, ash, fats, pH, polyphenols, tannins and flavonoids using completely randomized design with three replicates in the laboratory. Data were analysed by combining Analysis of Variance, Kruskal-Wallis test, correlation test and multivariate analysis. Significant variations (P < 0.05) were observed among the kola genotypes for the bioactive traits evaluated. Phenolic traits were more heritable than nutritional traits. Although not significant (P > 0.05), correlation between nutritional and phenolic traits was negative, whereas correlations among nutritional traits were weak. On the contrary, significant and positive correlations (P < 0.05) were observed among phenolic traits. The hierarchical clustering analysis based on the traits evaluated grouped the 25 genotypes of kola evaluated into four clusters. Genotypes A12, JB4, JB19, JB36, P2-1b, and P2-1c were identified as potential parental lines for phenolic traits selection in kola whereas genotypes A10, Club, Atta1 and JB10 can be considered for soluble and insoluble sugar-rich variety development. These findings represent an important step towards improving nutritional and nutraceutical quality of kola nuts.

Indexed as

Genetic VariationAlcoholsColaDietary SupplementsPhenolsSolubilitySugarsAlcoholsPhenolsSugars

Identifiers

PMID33270707
PMCPMC7714174

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.