Proportion of ripe fruit weight and volume to green coffee: differences in 43 genotypes of Coffea canephora.
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1130848 https://doi.org/10.1002/agj2.20617 |
Resumo: | The processing yield or performance, which includes drying and depulping of coffee fruits, can be calculated as the relationship between the volume of ripe coffee fruits and green coffee weight and is a relevant characteristic for the development of new cultivars. The purpose of this study was to evaluate the processing performance of 42 genotypes and one population of Coffea canephora. The treatments consisted of 42 C. canephora genotypes propagated by cuttings and one seed-derived population arranged in a randomized block design with three replications. The genotypes were harvested when 80% of the fruits were in the ripe stage (red berries). We evaluated the relationship of the volume to weight of ripe fruit (ripe fruit volume [RFV]/ripe fruit weight [RFW]), the percentage of seed per fruit (% of seeds), the yield (in liters of ripe coffee) required to produce a 60-kg bag of green coffee, and the relationship between RFW and dry green bean weight (RFW/dry seed weight [DSW]). The results were subjected to ANOVA, and the means were grouped by the Scott-Knott test (p < .05). The mean yield of the evaluated genotypes was 347.57 L bag-1 of green coffee (between 294.01 and 439.72 L bag-1). A lower seed per fruit percentage identifies genotypes with a lower yield and higher RFW/DSW ratio. The genotypes Z21, 700, AD1, LB1, Emcapa 143, and AP required less than 315 L of ripe coffee to produce one 60-kg bag of green coffee beans. |
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Proportion of ripe fruit weight and volume to green coffee: differences in 43 genotypes of Coffea canephora.Fruto maduroRipe fruitCafé verdeGreen coffeeAnálise de variânciaNova Venécia (ES)Espírito SantoCaféCoffea CanephoraSementeProcessamentoRendimentoGenótipoComportamento de VariedadePesoVolumeMétodo EstatísticoCoffee beansProcessing technologyGenotypeVariety trialsFruit yieldWeightStatistical analysisAnalysis of varianceThe processing yield or performance, which includes drying and depulping of coffee fruits, can be calculated as the relationship between the volume of ripe coffee fruits and green coffee weight and is a relevant characteristic for the development of new cultivars. The purpose of this study was to evaluate the processing performance of 42 genotypes and one population of Coffea canephora. The treatments consisted of 42 C. canephora genotypes propagated by cuttings and one seed-derived population arranged in a randomized block design with three replications. The genotypes were harvested when 80% of the fruits were in the ripe stage (red berries). We evaluated the relationship of the volume to weight of ripe fruit (ripe fruit volume [RFV]/ripe fruit weight [RFW]), the percentage of seed per fruit (% of seeds), the yield (in liters of ripe coffee) required to produce a 60-kg bag of green coffee, and the relationship between RFW and dry green bean weight (RFW/dry seed weight [DSW]). The results were subjected to ANOVA, and the means were grouped by the Scott-Knott test (p < .05). The mean yield of the evaluated genotypes was 347.57 L bag-1 of green coffee (between 294.01 and 439.72 L bag-1). A lower seed per fruit percentage identifies genotypes with a lower yield and higher RFW/DSW ratio. The genotypes Z21, 700, AD1, LB1, Emcapa 143, and AP required less than 315 L of ripe coffee to produce one 60-kg bag of green coffee beans.FÁBIO LUIZ PARTELLI, Universidade Federal do Espírito Santo; GLEISON OLIOSI, Universidade Federal do Espírito Santo; JÉSSICA RODRIGUES DALAZEN, Universidade Federal de Rondônia; CLEIDSON ALVES DA SILVA, Universidade Federal de Lavras; HENRIQUE DUARTE VIEIRA, Universidade Estadual Norte Fluminense-Darcy Ribeiro; MARCELO CURITIBA ESPINDULA, CPAF-RO.PARTELLI, F. L.OLIOSI, G.DALAZEN, J. R.SILVA, C. A. daVIEIRA, H. D.ESPINDULA, M. C.2021-03-23T03:33:51Z2021-03-23T03:33:51Z2021-03-222021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleAgronomy Journal, v. 113, n. 2, p. 1050-1057, Mar./Apr. 2021.0002-1962 (printed) / 1435-0645 (online).http://www.alice.cnptia.embrapa.br/alice/handle/doc/1130848https://doi.org/10.1002/agj2.20617enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2021-03-23T03:34:00Zoai:www.alice.cnptia.embrapa.br:doc/1130848Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542021-03-23T03:34falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542021-03-23T03:34Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Proportion of ripe fruit weight and volume to green coffee: differences in 43 genotypes of Coffea canephora. |
title |
Proportion of ripe fruit weight and volume to green coffee: differences in 43 genotypes of Coffea canephora. |
spellingShingle |
Proportion of ripe fruit weight and volume to green coffee: differences in 43 genotypes of Coffea canephora. PARTELLI, F. L. Fruto maduro Ripe fruit Café verde Green coffee Análise de variância Nova Venécia (ES) Espírito Santo Café Coffea Canephora Semente Processamento Rendimento Genótipo Comportamento de Variedade Peso Volume Método Estatístico Coffee beans Processing technology Genotype Variety trials Fruit yield Weight Statistical analysis Analysis of variance |
title_short |
Proportion of ripe fruit weight and volume to green coffee: differences in 43 genotypes of Coffea canephora. |
title_full |
Proportion of ripe fruit weight and volume to green coffee: differences in 43 genotypes of Coffea canephora. |
title_fullStr |
Proportion of ripe fruit weight and volume to green coffee: differences in 43 genotypes of Coffea canephora. |
title_full_unstemmed |
Proportion of ripe fruit weight and volume to green coffee: differences in 43 genotypes of Coffea canephora. |
title_sort |
Proportion of ripe fruit weight and volume to green coffee: differences in 43 genotypes of Coffea canephora. |
author |
PARTELLI, F. L. |
author_facet |
PARTELLI, F. L. OLIOSI, G. DALAZEN, J. R. SILVA, C. A. da VIEIRA, H. D. ESPINDULA, M. C. |
author_role |
author |
author2 |
OLIOSI, G. DALAZEN, J. R. SILVA, C. A. da VIEIRA, H. D. ESPINDULA, M. C. |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
FÁBIO LUIZ PARTELLI, Universidade Federal do Espírito Santo; GLEISON OLIOSI, Universidade Federal do Espírito Santo; JÉSSICA RODRIGUES DALAZEN, Universidade Federal de Rondônia; CLEIDSON ALVES DA SILVA, Universidade Federal de Lavras; HENRIQUE DUARTE VIEIRA, Universidade Estadual Norte Fluminense-Darcy Ribeiro; MARCELO CURITIBA ESPINDULA, CPAF-RO. |
dc.contributor.author.fl_str_mv |
PARTELLI, F. L. OLIOSI, G. DALAZEN, J. R. SILVA, C. A. da VIEIRA, H. D. ESPINDULA, M. C. |
dc.subject.por.fl_str_mv |
Fruto maduro Ripe fruit Café verde Green coffee Análise de variância Nova Venécia (ES) Espírito Santo Café Coffea Canephora Semente Processamento Rendimento Genótipo Comportamento de Variedade Peso Volume Método Estatístico Coffee beans Processing technology Genotype Variety trials Fruit yield Weight Statistical analysis Analysis of variance |
topic |
Fruto maduro Ripe fruit Café verde Green coffee Análise de variância Nova Venécia (ES) Espírito Santo Café Coffea Canephora Semente Processamento Rendimento Genótipo Comportamento de Variedade Peso Volume Método Estatístico Coffee beans Processing technology Genotype Variety trials Fruit yield Weight Statistical analysis Analysis of variance |
description |
The processing yield or performance, which includes drying and depulping of coffee fruits, can be calculated as the relationship between the volume of ripe coffee fruits and green coffee weight and is a relevant characteristic for the development of new cultivars. The purpose of this study was to evaluate the processing performance of 42 genotypes and one population of Coffea canephora. The treatments consisted of 42 C. canephora genotypes propagated by cuttings and one seed-derived population arranged in a randomized block design with three replications. The genotypes were harvested when 80% of the fruits were in the ripe stage (red berries). We evaluated the relationship of the volume to weight of ripe fruit (ripe fruit volume [RFV]/ripe fruit weight [RFW]), the percentage of seed per fruit (% of seeds), the yield (in liters of ripe coffee) required to produce a 60-kg bag of green coffee, and the relationship between RFW and dry green bean weight (RFW/dry seed weight [DSW]). The results were subjected to ANOVA, and the means were grouped by the Scott-Knott test (p < .05). The mean yield of the evaluated genotypes was 347.57 L bag-1 of green coffee (between 294.01 and 439.72 L bag-1). A lower seed per fruit percentage identifies genotypes with a lower yield and higher RFW/DSW ratio. The genotypes Z21, 700, AD1, LB1, Emcapa 143, and AP required less than 315 L of ripe coffee to produce one 60-kg bag of green coffee beans. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-03-23T03:33:51Z 2021-03-23T03:33:51Z 2021-03-22 2021 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Agronomy Journal, v. 113, n. 2, p. 1050-1057, Mar./Apr. 2021. 0002-1962 (printed) / 1435-0645 (online). http://www.alice.cnptia.embrapa.br/alice/handle/doc/1130848 https://doi.org/10.1002/agj2.20617 |
identifier_str_mv |
Agronomy Journal, v. 113, n. 2, p. 1050-1057, Mar./Apr. 2021. 0002-1962 (printed) / 1435-0645 (online). |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1130848 https://doi.org/10.1002/agj2.20617 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
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Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
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EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503503849193472 |