ArticleFrontiers in plant science2026
Genome-wide association study of post-harvest physiological deterioration in cassava (
Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Postharvest physiological deterioration (PPD) is a rapid and severe process in cassava that causes root discoloration and spoilage soon after harvest, limiting shelf life and commercial value of the storage roots. Although environmental interventions can temporarily delay PPD, they are impractical for large-scale use. Previous studies have focused mainly on transcriptome, proteome, and candidate-gene analyses, with a few reporting robust and independently validated quantitative trait loci (QTLs). Identifying PPD-linked-QTLs is essential to breeding PPD-tolerant cassava varieties. Methods: In this study, a genome-wide association study (GWAS) was conducted to identify genomic regions associated with PPD tolerance using both human visual scoring (VS) and an artificial intelligence (AI)-powered phenotyping method. A mapping population of 298 cassava accessions was genotyped using two platforms: DArTag mid-density panel and genotyping-by-sequencing (GBS). Results and discussion: Across both genotyping platforms, 6 significant SNPs were identified using VS dataset and 6 using the AI phenotypic dataset. Consistent associations on chromosomes 1 and 12 across both phenotyping and genotyping platforms indicate potentially robust genomic regions influencing PPD response. Overall, the AI-powered phenotyping approach presents a standardized and reproducible PPD scoring procedure over the traditional visual scoring in future breeding programs for PPD. Despite differences in marker density, both DArTag and GBS markers capture comparable insights into the genetic structure of the GWAS panel. These findings provide insights into the genetic basis of PPD in cassava and offer valuable targets for marker-assisted and genomic selection toward developing cassava varieties with delayed PPD.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.