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Estimating on-farm genotypic performance and variability using ranking data.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik - 18 Aug 2026

Dorado-Betancourt Hugo, van Eeuwijk Fred, van Etten Jacob, Ramirez-Villegas Julian, de Sousa Kaûe, Daudi Happy, Ndegwa Michael, Mendes Thiago, van Heerwaarden Joost

Abstract excerpt

KEY MESSAGE: Our scalable two-step method estimates genotypic performance and genetic parameters from ranking data, producing reliable results comparable to quantitative analyses, enabling the integration of ranking data into breeding pipelines. Plant breeding research has chiefly relied on on-station experiments to evaluate varietal performance. Nevertheless, these trials often fail to represent on-farm growing...

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Identifiers

PMID: 42611324
DOI: 10.1007/s00122-026-05319-1
PMCID: PMC13486096

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