Genetic Diversity and Gains from Selection for Fruit and Bean Physical Traits from the Conilon Coffee Genotype

Plant breeding of Coffea canephora is based on the characterization and use of the natural genetic variability of the species. Thus, the objective of this study was to quantify the genetic diversity and gains from selection of the fruit and bean physical traits of the C. canephora plant, seeking to understand the relations among the yield components and identify genotypes with superior traits. For this purpose, 42 genotypes were evaluated over two crop years while considering a randomized block design in a factorial arrangement to quantify the effects of genotypes, crop years, and the interaction between these two factors. Coffee fruit samples in the cherry stage were used to evaluate the weights, volumes, and dimensions of the fresh fruit and beans after drying. Genotypic variance prevailed over environmental variance for all of the fruit and bean physical traits of the coffee plants, except for the greatest fruit width (FWG). These associations indicate that the constituent parts of the fruit increased in a manner proportional to an increase in weight. Such associations can facilitate or hinder plant selection. The total gains obtained through the selection indices were similar to those obtained through direct selection for greater bean weights. However, the use of selection indices made it possible to identify clones with more balanced traits.

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Publication Details

Journal
International Journal of Plant Biology
Published
2024-11-27
DOI
https://doi.org/10.3390/ijpb15040087
Citations
2
Primary Topic
Coffee research and impacts
Type
article
Field-Weighted Citation Impact
0.90
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article

Genetic Diversity and Gains from Selection for Fruit and Bean Physical Traits from the Conilon Coffee Genotype

Janderson Rodrigues Dalazen, Larissa Fatarelli Bento de Araújo, Marcelo Curitiba Espíndula, Gleison Oliosi et al.
2 citations
International Journal of Plant Biology
Coffee research and impacts
0.90
article

Genetic Diversity and Gains from Selection for Fruit and Bean Physical Traits from the Conilon Coffee Genotype

Janderson Rodrigues Dalazen, Larissa Fatarelli Bento de Araújo, Marcelo Curitiba Espíndula, Gleison Oliosi, Weverton Pereira Rodrigues, Rodrigo Barros Rocha, Fábio Luiz Partelli
article en
2 citations

Abstract

Plant breeding of Coffea canephora is based on the characterization and use of the natural genetic variability of the species. Thus, the objective of this study was to quantify the genetic diversity and gains from selection of the fruit and bean physical traits of the C. canephora plant, seeking to understand the relations among the yield components and identify genotypes with superior traits. For this purpose, 42 genotypes were evaluated over two crop years while considering a randomized block design in a factorial arrangement to quantify the effects of genotypes, crop years, and the interaction between these two factors. Coffee fruit samples in the cherry stage were used to evaluate the weights, volumes, and dimensions of the fresh fruit and beans after drying. Genotypic variance prevailed over environmental variance for all of the fruit and bean physical traits of the coffee plants, except for the greatest fruit width (FWG). These associations indicate that the constituent parts of the fruit increased in a manner proportional to an increase in weight. Such associations can facilitate or hinder plant selection. The total gains obtained through the selection indices were similar to those obtained through direct selection for greater bean weights. However, the use of selection indices made it possible to identify clones with more balanced traits.

International Journal of Plant BiologyVol. 15(4)
Universidade Federal de Rondônia (BR), Brazilian Agricultural Research Corporation (BR), Centro Universitário do Norte (BR), Universidade Estadual da Região Tocantina do Maranhão (BR), Instituto Capixaba de Pesquisa, Assistência Técnica e Extensão Rural (BR), Universidade Federal do Espírito Santo (BR)
Life in Land
Openalex Percentile: Top 22%
Coffee research and impacts
0.90
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