ArticlePhysiology and molecular biology of plants : an international journal of functional plant biology2020
Genetic characterization of cassava (
Article in Physiology and molecular biology of plants : an international journal of functional plant biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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Who cites it
8 citing papers in PubMed, 39 citations in OpenAlex.
- Spatial distribution of phenotypic and biotic traits in cassava fields across Sierra Leone.Discover agriculture · 2026Article
- Proteomic analysis reveals dynamic expression related to malondialdehyde in cassava in response to cassava bacterial blight.Scientific reports · 2025Article
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- On-Farm Multi-Environment Evaluation of Selected Cassava (Plants (Basel, Switzerland) · 2022Article
- Advances in Genetic Analysis and Breeding of Cassava (Plants (Basel, Switzerland) · 2022Review
- Risk factors associated with cassava brown streak disease dissemination through seed pathways in Eastern D.R. Congo.Frontiers in plant science · 2022Article
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Corrections and comments
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Authors and funding
12 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dearth of information on extent of genetic variability in cassava limits the genetic improvement of cassava genotypes in Sierra Leone. The aim of this study was to assess the genetic diversity and relationships within 102 cassava genotypes using agro-morphological and single nucleotide polymorphism markers. Morphological classification based on qualitative traits categorized the germplasm into five different groups, whereas the quantitative trait set had four groups. The SNP markers classified the germplasm into three main cluster groups. A total of seven principal components (PCs) in the qualitative and four PCs in the quantitative trait sets accounted for 79.03% and 72.30% of the total genetic variation, respectively. Significant and positive correlations were observed between average yield per plant and harvest index (r = 0.76
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Registered trials
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.