Repeatability coefficients and number of measurements for evaluating traits in strawberry
Autor(a) principal: | |
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Data de Publicação: | 2020 |
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/43357 |
Resumo: | The objective of this study was to estimate the coefficient of repeatability and the number of measurements required for production and quality variables in a strawberry crop. An experiment was conducted with two strawberry cultivars from two origins grown in four substrate mixtures, totaling 16 treatments, evaluated in a randomized block design with four replications. Mass (MF) and number (NF) of fruits per plant were evaluated as measures of production, and total soluble solids (SST), titratable acidity (AT) and firmness (FIR) of fruits during the crop cycle were evaluated as measures of quality. Subsequently, the repeatability coefficient was estimated by the following methods: analysis of variance (ANOVA), principal component analysis using a correlation matrix (PCcor), principal component analysis using a variance-covariance matrix (PCcov) and structural analysis (SA). The number of measurements was adjusted for each studied variable based on determination coefficients of 0.80, 0.85, 0.90, and 0.95. The repeatability coefficients ranged from low to medium. The ANOVA method gave the lowest r values, while the PCcov method presented the highest values of r. When using the PCcov method, 3.6, 2.9, 6.2, 3.2, and 3.8 measurements were needed to reach 80% confidence for the variables MF, NF, SST, AT, and FIR, respectively, and this increased to 7.3, 14.0, 29.6, 15.4, and 18.1 for 95% confidence in the results for MF, NF, SST, AT, and FIR, respectively. |
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Acta Scientiarum. Agronomy (Online) |
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Repeatability coefficients and number of measurements for evaluating traits in strawberryRepeatability coefficients and number of measurements for evaluating traits in strawberryFragaria X ananassaProductionQualityBiometrics.The objective of this study was to estimate the coefficient of repeatability and the number of measurements required for production and quality variables in a strawberry crop. An experiment was conducted with two strawberry cultivars from two origins grown in four substrate mixtures, totaling 16 treatments, evaluated in a randomized block design with four replications. Mass (MF) and number (NF) of fruits per plant were evaluated as measures of production, and total soluble solids (SST), titratable acidity (AT) and firmness (FIR) of fruits during the crop cycle were evaluated as measures of quality. Subsequently, the repeatability coefficient was estimated by the following methods: analysis of variance (ANOVA), principal component analysis using a correlation matrix (PCcor), principal component analysis using a variance-covariance matrix (PCcov) and structural analysis (SA). The number of measurements was adjusted for each studied variable based on determination coefficients of 0.80, 0.85, 0.90, and 0.95. The repeatability coefficients ranged from low to medium. The ANOVA method gave the lowest r values, while the PCcov method presented the highest values of r. When using the PCcov method, 3.6, 2.9, 6.2, 3.2, and 3.8 measurements were needed to reach 80% confidence for the variables MF, NF, SST, AT, and FIR, respectively, and this increased to 7.3, 14.0, 29.6, 15.4, and 18.1 for 95% confidence in the results for MF, NF, SST, AT, and FIR, respectively.Universidade Estadual de Maringá2020-05-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPesquisa Empírica de Campo e análise de dadosapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/4335710.4025/actasciagron.v42i1.43357Acta Scientiarum. Agronomy; Vol 42 (2020): Publicação contínua; e43357Acta Scientiarum. Agronomy; v. 42 (2020): Publicação contínua; e433571807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/43357/751375150077Copyright (c) 2020 Acta Scientiarum. Agronomyhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessDiel, Maria InêsLúcio, Alessandro Dal'ColOlivoto, TiagoPinheiro, Marcos Vinícius MarquesKrysczun, Dionatan KetzerSari, Bruno GiacominiSchmidt, Denise2020-11-16T18:51:02Zoai:periodicos.uem.br/ojs:article/43357Revistahttp://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:2020-11-16T18:51:02Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Repeatability coefficients and number of measurements for evaluating traits in strawberry Repeatability coefficients and number of measurements for evaluating traits in strawberry |
title |
Repeatability coefficients and number of measurements for evaluating traits in strawberry |
spellingShingle |
Repeatability coefficients and number of measurements for evaluating traits in strawberry Diel, Maria Inês Fragaria X ananassa Production Quality Biometrics. |
title_short |
Repeatability coefficients and number of measurements for evaluating traits in strawberry |
title_full |
Repeatability coefficients and number of measurements for evaluating traits in strawberry |
title_fullStr |
Repeatability coefficients and number of measurements for evaluating traits in strawberry |
title_full_unstemmed |
Repeatability coefficients and number of measurements for evaluating traits in strawberry |
title_sort |
Repeatability coefficients and number of measurements for evaluating traits in strawberry |
author |
Diel, Maria Inês |
author_facet |
Diel, Maria Inês Lúcio, Alessandro Dal'Col Olivoto, Tiago Pinheiro, Marcos Vinícius Marques Krysczun, Dionatan Ketzer Sari, Bruno Giacomini Schmidt, Denise |
author_role |
author |
author2 |
Lúcio, Alessandro Dal'Col Olivoto, Tiago Pinheiro, Marcos Vinícius Marques Krysczun, Dionatan Ketzer Sari, Bruno Giacomini Schmidt, Denise |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Diel, Maria Inês Lúcio, Alessandro Dal'Col Olivoto, Tiago Pinheiro, Marcos Vinícius Marques Krysczun, Dionatan Ketzer Sari, Bruno Giacomini Schmidt, Denise |
dc.subject.por.fl_str_mv |
Fragaria X ananassa Production Quality Biometrics. |
topic |
Fragaria X ananassa Production Quality Biometrics. |
description |
The objective of this study was to estimate the coefficient of repeatability and the number of measurements required for production and quality variables in a strawberry crop. An experiment was conducted with two strawberry cultivars from two origins grown in four substrate mixtures, totaling 16 treatments, evaluated in a randomized block design with four replications. Mass (MF) and number (NF) of fruits per plant were evaluated as measures of production, and total soluble solids (SST), titratable acidity (AT) and firmness (FIR) of fruits during the crop cycle were evaluated as measures of quality. Subsequently, the repeatability coefficient was estimated by the following methods: analysis of variance (ANOVA), principal component analysis using a correlation matrix (PCcor), principal component analysis using a variance-covariance matrix (PCcov) and structural analysis (SA). The number of measurements was adjusted for each studied variable based on determination coefficients of 0.80, 0.85, 0.90, and 0.95. The repeatability coefficients ranged from low to medium. The ANOVA method gave the lowest r values, while the PCcov method presented the highest values of r. When using the PCcov method, 3.6, 2.9, 6.2, 3.2, and 3.8 measurements were needed to reach 80% confidence for the variables MF, NF, SST, AT, and FIR, respectively, and this increased to 7.3, 14.0, 29.6, 15.4, and 18.1 for 95% confidence in the results for MF, NF, SST, AT, and FIR, respectively. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-05-27 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Pesquisa Empírica de Campo e análise de dados |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/43357 10.4025/actasciagron.v42i1.43357 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/43357 |
identifier_str_mv |
10.4025/actasciagron.v42i1.43357 |
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/43357/751375150077 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Acta Scientiarum. Agronomy https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 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 42 (2020): Publicação contínua; e43357 Acta Scientiarum. Agronomy; v. 42 (2020): Publicação contínua; e43357 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_ |
1750315308309020672 |