The progress in sweet cherry (Prunus avium L.) breeding has been marked by the identification of molecular markers for crucial traits, utilizing genome sequencing for marker-assisted selection (MAS). Despite these achievements, quantitative trait locus (QTL) analyses have often lacked resolution, leading to missed gene associations.
Traditional breeding methods face challenges related to low efficiency and high costs. Recent developments in whole-genome sequencing have uncovered nearly 2 million single nucleotide polymorphisms (SNPs), promising higher marker density for genome-wide association studies (GWAS). However, uneven SNP distribution remains an obstacle, hindering the identification of candidate genes. The current hurdle is to leverage GWAS potential for high-resolution mapping to expedite the breeding of improved sweet cherry varieties.
Researchers employed paired-end sequencing on the Illumina NovaSeq 6000 platform, generating a 4.15-Tb sequence with samples contributing 7.6–36.8 Gb each. The extensive genome coverage allowed the identification of 1,767,106 high-quality SNPs distributed across the accessions. Principal component analysis (PCA) and Bayesian information criterion (BIC) indicated a homogeneous population without distinct genetic subgroups.
Phenotypic diversity assessed from 2012 to 2020 revealed significant variability across traits, with Collection of Genetic Resources (CGR) accessions displaying more pronounced diversity than breeding materials (BM). Notable differences in color traits and fruit size were observed, aligning with the goals of selective breeding.
Collection of Genetic Resources population structure analysis. A) Principal component (PC) analysis plot of the first two PCs identified from 235 accessions based on 1,767,106 single nucleotide polymorphisms. B) Heat map of a kinship matrix estimated using the VanRaden algorithm. Both plots were generated with GAPIT.
Source: EurekAlert!
Image: High-resolution genome-wide association study of a large Czech collection of sweet cherry (Prunus avium L.) on fruit maturity and quality traits - Scientific Figure on ResearchGate. https://www.researchgate.net/figure/Collection-of-Genetic-Resources-population-structure-analysis-A-Principal-component_fig1_364394570.
09 Jan 2026
Smart irrigation improves cherry fruit size and profitability. With SWAN Systems, growers in Australia, North America and the Mediterranean can optimize water use, reduce waste and cracking, and boost yield through integrated data, expert guidance and better decisions.
27 Feb 2026
CITA conducted a field trial in Aragon, Spain, evaluating assisted cherry pollination using external pollen supplied by Zimex. The study assessed fruit set, pollen vitality and fertility in Albalate de Cinca highlighting yield performance, fruit quality and cold chain management.
12 Jun 2026
The Government of Aragón supports the Cereza de Calatayud y del Aranda PGI, covering around 1,500 hectares and about one hundred agricultural operators. Documents must be ready by 30 July, while the European recognition process could take up to two years for its approval.
12 Jun 2026
Viveros Ebro outlines its 2026 cherry strategy in Ribera d’Ebre, Spain, with Nipama, SPC-108, Royal Apache and SMS-416. High yields, large fruit size, low chill requirements, postharvest quality and full-cycle technical support shape the new season with climate resilience.
