ArticleHorticulture research2020
QTL mapping and identification of SNP-haplotypes affecting yield components of
Article in Horticulture research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 13 citations in OpenAlex.
- Chromosomal-scale and haplotype-resolved genome assembly of the first Trinitario hybrid cacao ICS 1.Scientific data · 2026Article
- A GWAS-machine learning framework reveals protein-synthesis pathway signals for yield in Theobroma cacao after population-structure correction.Scientific reports · 2026Article
- Review
- Article
- Genome-wide association analysis of anthracnose resistance in sorghum [Sorghum bicolor (L.) Moench].PloS one · 2021Article
- Genetic Diversity, Pedigree Relationships, and A Haplotype-Based DNA Fingerprinting System of Red Bayberry Cultivars.Frontiers in plant science · 2020Article
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Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cacao is a crop of global relevance that faces constant demands for improved bean yield. However, little is known about the genomic regions controlling the crop yield and genes involved in cacao bean filling. Hence, to identify the quantitative trait loci (QTL) associated with cacao yield and bean filling, we performed a QTL mapping in a segregating mapping population comprising 459 trees of a cross between 'TSH 1188' and 'CCN 51'. All variables showed considerable phenotypic variation and had moderate to high heritability values. We identified 24 QTLs using a genetic linkage map that contains 3526 single nucleotide polymorphism (SNP) markers. Haplotype analysis at the significant QTL region on chromosome IV pointed to the alleles from the maternal parent, 'TSH 1188', as the ones that affect the cacao yield components the most. The recombination events identified within these QTL regions allowed us to identify candidate genes that may take part in the different steps of pod growth and bean filling. Such candidate genes seem to play a significant role in the source-to-sink transport of sugars and amino acids, and lipid metabolism, such as fatty acid production. The SNP markers mapped in our study are now being used to select potential high-yielding cacao varieties through marker-assisted selection in our existing cacao-breeding experiments.
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