Low-cost, automated image analysis of seed imbibition kinetics that delivers seed quality results in under 24 hours. Developed at CIGRAS (Universidad de Costa Rica), the method uses camera-based imaging to generate ~17,000 data points per experiment and applies Gompertz modeling to extract imbibition parameters. Enables single-seed selection for plant breeding, identification of genes linked to imbibition behavior, and development of bean varieties tolerant to water-limiting conditions.
This solution offers an automated, low-cost imaging platform for evaluating seed quality through imbibition kinetics — the initial stage of seed germination in which seeds absorb water. By replacing traditional gravimetric methods with digital image analysis, the approach delivers seed quality assessments in less than 24 hours, enabling rapid single-seed selection for plant breeding programs.
The technology is particularly relevant for bean breeding, where seed quality directly impacts germination performance and field establishment. Beyond quality assessment, imbibition kinetics phenotyping can reveal genetic variation associated with water uptake behavior, supporting the identification of genes and quantitative trait loci (QTL) linked to tolerance to water-limiting conditions. This makes the platform a valuable tool for breeding programs focused on climate resilience and drought adaptation.
The platform has been experimentally validated using a population of 128 bean recombinant inbred lines, confirming a relationship between imbibition kinetics and seed quality. Current efforts are scaling validation to 1,100 bean accessions from a worldwide germplasm collection to assess broader applicability across genetic diversity.
Future validation plans include crossing accessions with contrasting imbibition kinetics, evaluating F3 progeny under water-limiting conditions, performing QTL analysis and RNA-seq transcriptomics, and selecting plants based on imbibition response. The method builds on published precedent in maize seeds (Miller et al., 2018) and is positioned at a mid-to-late experimental validation stage, with ongoing development toward breeding-ready applications.
Universidad de Costa Rica is a comprehensive public research university headquartered in San José and the country’s principal generator of research. Its on‑campus research complex, the Ciudad de la Investigación, co‑locates institutes and shared labs next to the main campus, streamlining joint work and facility access. Industry engagement runs through PROINNOVA for IP, licensing and collaboration, while AUGE offers incubation and acceleration that connect companies with prototypes and talent. Projects are supported by national funding via the FEES mechanism coordinated by CONARE and by competitive programs from MICITT. Standardized material‑transfer processes further de‑risk partnerships and speed execution.