Conilon coffee outturn index: a precise alternative for estimating grain yield
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , |
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. |
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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 |
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1799305911846567936 |