Conilon coffee outturn index: a precise alternative for estimating grain yield

Detalhes bibliográficos
Autor(a) principal: Fialho, Gustavo Sessa
Data de Publicação: 2022
Outros Autores: Fonseca, Aymbiré Francisco Almeida da, Ferrão, Maria Amélia Gava, Ferrão, Romário Gava, Olivoto, Tiago, Nardino, Maicon, Reis, Edvaldo Fialho dos, Sakiyama, Ney Sussumu
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Acta Scientiarum. Agronomy (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/54249
Resumo: Coffee outturn can be defined as the ratio between the harvested coffee and its respective processed grains. This character is greatly influenced by genotypic and environmental effects, and in breeding programs your analysis is costly and time-consuming. In this sense, the use of an outturn index to estimate coffee yield on experimental plots is a desirable measure aiming at reducing resources and time in postharvest evaluations. Thus, the present study aimed to evaluate the accuracy of the use of an outturn index equal to 4.0, in the estimation of Conilon coffee grains production. This index indicates that four kilograms of harvested fruit would be needed to obtain one kilogram of processed grains. Based on the average of 157 genotypes conducted in three trials and four harvests, we evaluated the relationship between harvested fruits and processed grains (FcBe), the observed (OGY), and the estimated grain yield per plant (EGY) based on FcBe equal to 4.0 (an outturn index). Descriptive statistics, adequation test for EGY, and the coincidence of occurrence of genotypes observations relating to the top 20% of all observations of OGY and EGY. In the estimation of grain yield in Conilon, the use of FcBe equal to 4.0 showed high precision in the average of the analyzed trials. However, further studies should be conducted to elucidate the effects of climate variables on the yield of Conilon coffee, especially in atypical crop years. Thus, the use of an outturn index becomes interesting in cases where the number of genotypes to be evaluated is very large and a screening of the promising ones is desirable.
id UEM-5_651fd1f68b80302388efd0ce3258f29f
oai_identifier_str oai:periodicos.uem.br/ojs:article/54249
network_acronym_str UEM-5
network_name_str Acta Scientiarum. Agronomy (Online)
repository_id_str
spelling Conilon coffee outturn index: a precise alternative for estimating grain yieldConilon coffee outturn index: a precise alternative for estimating grain yieldCoffea canephora; biometry; desirable measure.Coffea canephora; biometry; desirable measure.Coffee outturn can be defined as the ratio between the harvested coffee and its respective processed grains. This character is greatly influenced by genotypic and environmental effects, and in breeding programs your analysis is costly and time-consuming. In this sense, the use of an outturn index to estimate coffee yield on experimental plots is a desirable measure aiming at reducing resources and time in postharvest evaluations. Thus, the present study aimed to evaluate the accuracy of the use of an outturn index equal to 4.0, in the estimation of Conilon coffee grains production. This index indicates that four kilograms of harvested fruit would be needed to obtain one kilogram of processed grains. Based on the average of 157 genotypes conducted in three trials and four harvests, we evaluated the relationship between harvested fruits and processed grains (FcBe), the observed (OGY), and the estimated grain yield per plant (EGY) based on FcBe equal to 4.0 (an outturn index). Descriptive statistics, adequation test for EGY, and the coincidence of occurrence of genotypes observations relating to the top 20% of all observations of OGY and EGY. In the estimation of grain yield in Conilon, the use of FcBe equal to 4.0 showed high precision in the average of the analyzed trials. However, further studies should be conducted to elucidate the effects of climate variables on the yield of Conilon coffee, especially in atypical crop years. Thus, the use of an outturn index becomes interesting in cases where the number of genotypes to be evaluated is very large and a screening of the promising ones is desirable.Coffee outturn can be defined as the ratio between the harvested coffee and its respective processed grains. This character is greatly influenced by genotypic and environmental effects, and in breeding programs your analysis is costly and time-consuming. In this sense, the use of an outturn index to estimate coffee yield on experimental plots is a desirable measure aiming at reducing resources and time in postharvest evaluations. Thus, the present study aimed to evaluate the accuracy of the use of an outturn index equal to 4.0, in the estimation of Conilon coffee grains production. This index indicates that four kilograms of harvested fruit would be needed to obtain one kilogram of processed grains. Based on the average of 157 genotypes conducted in three trials and four harvests, we evaluated the relationship between harvested fruits and processed grains (FcBe), the observed (OGY), and the estimated grain yield per plant (EGY) based on FcBe equal to 4.0 (an outturn index). Descriptive statistics, adequation test for EGY, and the coincidence of occurrence of genotypes observations relating to the top 20% of all observations of OGY and EGY. In the estimation of grain yield in Conilon, the use of FcBe equal to 4.0 showed high precision in the average of the analyzed trials. However, further studies should be conducted to elucidate the effects of climate variables on the yield of Conilon coffee, especially in atypical crop years. Thus, the use of an outturn index becomes interesting in cases where the number of genotypes to be evaluated is very large and a screening of the promising ones is desirable.Universidade Estadual de Maringá2022-03-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/5424910.4025/actasciagron.v44i1.54249Acta Scientiarum. Agronomy; Vol 44 (2022): Publicação contínua; e54249Acta Scientiarum. Agronomy; v. 44 (2022): Publicação contínua; e542491807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/54249/751375153835Copyright (c) 2022 Acta Scientiarum. Agronomyhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessFialho, Gustavo Sessa Fonseca, Aymbiré Francisco Almeida da Ferrão, Maria Amélia Gava Ferrão, Romário Gava Olivoto, Tiago Nardino, Maicon Reis, Edvaldo Fialho dos Sakiyama, Ney Sussumu 2022-04-01T17:14:08Zoai:periodicos.uem.br/ojs:article/54249Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgronPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/oaiactaagron@uem.br||actaagron@uem.br|| edamasio@uem.br1807-86211679-9275opendoar:2022-04-01T17:14:08Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Conilon coffee outturn index: a precise alternative for estimating grain yield
Conilon coffee outturn index: a precise alternative for estimating grain yield
title Conilon coffee outturn index: a precise alternative for estimating grain yield
spellingShingle Conilon coffee outturn index: a precise alternative for estimating grain yield
Fialho, Gustavo Sessa
Coffea canephora; biometry; desirable measure.
Coffea canephora; biometry; desirable measure.
title_short Conilon coffee outturn index: a precise alternative for estimating grain yield
title_full Conilon coffee outturn index: a precise alternative for estimating grain yield
title_fullStr Conilon coffee outturn index: a precise alternative for estimating grain yield
title_full_unstemmed Conilon coffee outturn index: a precise alternative for estimating grain yield
title_sort Conilon coffee outturn index: a precise alternative for estimating grain yield
author Fialho, Gustavo Sessa
author_facet Fialho, Gustavo Sessa
Fonseca, Aymbiré Francisco Almeida da
Ferrão, Maria Amélia Gava
Ferrão, Romário Gava
Olivoto, Tiago
Nardino, Maicon
Reis, Edvaldo Fialho dos
Sakiyama, Ney Sussumu
author_role author
author2 Fonseca, Aymbiré Francisco Almeida da
Ferrão, Maria Amélia Gava
Ferrão, Romário Gava
Olivoto, Tiago
Nardino, Maicon
Reis, Edvaldo Fialho dos
Sakiyama, Ney Sussumu
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Fialho, Gustavo Sessa
Fonseca, Aymbiré Francisco Almeida da
Ferrão, Maria Amélia Gava
Ferrão, Romário Gava
Olivoto, Tiago
Nardino, Maicon
Reis, Edvaldo Fialho dos
Sakiyama, Ney Sussumu
dc.subject.por.fl_str_mv Coffea canephora; biometry; desirable measure.
Coffea canephora; biometry; desirable measure.
topic Coffea canephora; biometry; desirable measure.
Coffea canephora; biometry; desirable measure.
description Coffee outturn can be defined as the ratio between the harvested coffee and its respective processed grains. This character is greatly influenced by genotypic and environmental effects, and in breeding programs your analysis is costly and time-consuming. In this sense, the use of an outturn index to estimate coffee yield on experimental plots is a desirable measure aiming at reducing resources and time in postharvest evaluations. Thus, the present study aimed to evaluate the accuracy of the use of an outturn index equal to 4.0, in the estimation of Conilon coffee grains production. This index indicates that four kilograms of harvested fruit would be needed to obtain one kilogram of processed grains. Based on the average of 157 genotypes conducted in three trials and four harvests, we evaluated the relationship between harvested fruits and processed grains (FcBe), the observed (OGY), and the estimated grain yield per plant (EGY) based on FcBe equal to 4.0 (an outturn index). Descriptive statistics, adequation test for EGY, and the coincidence of occurrence of genotypes observations relating to the top 20% of all observations of OGY and EGY. In the estimation of grain yield in Conilon, the use of FcBe equal to 4.0 showed high precision in the average of the analyzed trials. However, further studies should be conducted to elucidate the effects of climate variables on the yield of Conilon coffee, especially in atypical crop years. Thus, the use of an outturn index becomes interesting in cases where the number of genotypes to be evaluated is very large and a screening of the promising ones is desirable.
publishDate 2022
dc.date.none.fl_str_mv 2022-03-09
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/54249
10.4025/actasciagron.v44i1.54249
url http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/54249
identifier_str_mv 10.4025/actasciagron.v44i1.54249
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/54249/751375153835
dc.rights.driver.fl_str_mv Copyright (c) 2022 Acta Scientiarum. Agronomy
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 Acta Scientiarum. Agronomy
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual de Maringá
publisher.none.fl_str_mv Universidade Estadual de Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Agronomy; Vol 44 (2022): Publicação contínua; e54249
Acta Scientiarum. Agronomy; v. 44 (2022): Publicação contínua; e54249
1807-8621
1679-9275
reponame:Acta Scientiarum. Agronomy (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta Scientiarum. Agronomy (Online)
collection Acta Scientiarum. Agronomy (Online)
repository.name.fl_str_mv Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv actaagron@uem.br||actaagron@uem.br|| edamasio@uem.br
_version_ 1799305911846567936