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<p>Genotypes of <i>Coffea arabica</i> were assessed across multiple harvests to obtain more accurate estimates of genetic values. Consequently, phenotypic evaluation is both resource-intensive and indispensable, underscoring the need for innovative strategies to enhance breeding programme efficiency through judicious resource allocation. This study aimed to ascertain the efficacy of the early stage culling of inferior genotypes in the selection of <i>C. arabica</i> genotypes. Data encompassing eighty-three harvests evaluated across thirteen independent progeny trials, encompassing segregating generations and lineages of coffee plants from the Mundo Novo, Catuaí, and Icatu groups, were utilised. Analyses were performed using mixed-effects models, with variance component estimation through restricted maximum likelihood methodology, and genetic value prediction through the best linear unbiased predictor (E-BLUP). To effectuate the removal of inferior genotypes, the estimated E-BLUPs were standardised, and genotypes with E-BLUPs below one standard deviation from the mean were withdrawn and subsequently excluded from further analyses. Method validation was conducted via comparative analyses of the entire dataset. Satisfactory results were achieved in all the experiments when the proposed method was adopted. The discard methodology indicated that inferior genotypes tended to perform poorly during the initial harvests. This methodology demonstrated efficient early elimination across all the studied generations, suggesting its potential applicability throughout the arabica coffee breeding cycle. The percentage of genotypes discarded in each harvest can vary according to the breeder’s interest, breeding population, and the quality of the experimental data. This optimisation could save the time and resources expended in evaluating within breeding programmes.</p>

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Early Discard Strategies to Maximise Genetic Gain in coffea arabica Genotypes

  • 期刊论文

  • 发表日期：

    2025年2月10日

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  • Gustavo Pucci Botega,
  • Juliana Costa de Resende Abrahão,
  • Cesar Elias Botelho,
  • Flávia Maria Avelar Gonçalves

摘要

Genotypes of Coffea arabica were assessed across multiple harvests to obtain more accurate estimates of genetic values. Consequently, phenotypic evaluation is both resource-intensive and indispensable, underscoring the need for innovative strategies to enhance breeding programme efficiency through judicious resource allocation. This study aimed to ascertain the efficacy of the early stage culling of inferior genotypes in the selection of C. arabica genotypes. Data encompassing eighty-three harvests evaluated across thirteen independent progeny trials, encompassing segregating generations and lineages of coffee plants from the Mundo Novo, Catuaí, and Icatu groups, were utilised. Analyses were performed using mixed-effects models, with variance component estimation through restricted maximum likelihood methodology, and genetic value prediction through the best linear unbiased predictor (E-BLUP). To effectuate the removal of inferior genotypes, the estimated E-BLUPs were standardised, and genotypes with E-BLUPs below one standard deviation from the mean were withdrawn and subsequently excluded from further analyses. Method validation was conducted via comparative analyses of the entire dataset. Satisfactory results were achieved in all the experiments when the proposed method was adopted. The discard methodology indicated that inferior genotypes tended to perform poorly during the initial harvests. This methodology demonstrated efficient early elimination across all the studied generations, suggesting its potential applicability throughout the arabica coffee breeding cycle. The percentage of genotypes discarded in each harvest can vary according to the breeder’s interest, breeding population, and the quality of the experimental data. This optimisation could save the time and resources expended in evaluating within breeding programmes.