Yield prediction of experimental plots based on the harvest of specific fruit clusters for selection of fresh market tomato hybrids

Detalhes bibliográficos
Autor(a) principal: Silva, Paulo T. P.
Data de Publicação: 2021
Outros Autores: Oliveira, Gustavo E., Peloia, Paulo R., Carvalho, Regis C., Gonçalves, Flávia Maria A.
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/49040
Resumo: The objective of this study was to propose models based on the harvest of specific fruit clusters to estimate the plot yield of trials containing fresh market tomato hybrids. Three experiments were conducted at the Experimental Station of Syngenta Crop Protection in the municipality of Holambra, state of São Paulo, Brazil, in 2016 and 2017. The experimental design was randomized complete blocks with 12 genotypes (experiments 1 and 3) and 13 genotypes (experiment 2), with 4 replicates and 10 plants per plot. Multiple linear regression models were fitted (stepwise method) with experiment 1 data (cross-validation), the best models were selected (higher adjusted R²) and then tested with experiments 2 and 3 data by mean of absolute percentage error (MAPE), for the traits mean weight of marketable fruit per plant A (MWA), AA (MWAA), AAA (MWAAA), AA and AAA (MW23A), and the ratio between the market weight and the number of marketable fruits (MFW). The models with four fruit clusters (2, 3, 6 and 9) showed the best balance between prediction capacity and the number of fruit clusters to harvest. The traits MWAA, MW23A and MFW generated reliable predictions, with MAPE approximately 5%. The multiple linear regression can be used to estimate the plot yield what, in the last instance, contributes to the reduction of the costs to conduct fresh market tomato hybrids
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spelling Yield prediction of experimental plots based on the harvest of specific fruit clusters for selection of fresh market tomato hybridsPredição de produtividade de parcelas experimentais com base na avaliação de pencas específicas para seleção de híbridos de tomate de mesaSolanum lycopersicumTomato breedingLinear regressionMelhoramento do tomateiroRegressão linearThe objective of this study was to propose models based on the harvest of specific fruit clusters to estimate the plot yield of trials containing fresh market tomato hybrids. Three experiments were conducted at the Experimental Station of Syngenta Crop Protection in the municipality of Holambra, state of São Paulo, Brazil, in 2016 and 2017. The experimental design was randomized complete blocks with 12 genotypes (experiments 1 and 3) and 13 genotypes (experiment 2), with 4 replicates and 10 plants per plot. Multiple linear regression models were fitted (stepwise method) with experiment 1 data (cross-validation), the best models were selected (higher adjusted R²) and then tested with experiments 2 and 3 data by mean of absolute percentage error (MAPE), for the traits mean weight of marketable fruit per plant A (MWA), AA (MWAA), AAA (MWAAA), AA and AAA (MW23A), and the ratio between the market weight and the number of marketable fruits (MFW). The models with four fruit clusters (2, 3, 6 and 9) showed the best balance between prediction capacity and the number of fruit clusters to harvest. The traits MWAA, MW23A and MFW generated reliable predictions, with MAPE approximately 5%. The multiple linear regression can be used to estimate the plot yield what, in the last instance, contributes to the reduction of the costs to conduct fresh market tomato hybridsO objetivo deste estudo foi propor modelos baseados na avaliação de colheita de pencas de frutos específicas para estimar a produtividade de parcelas de experimentos com híbridos de tomate de mesa. Foram realizados três experimentos, em 2016 e 2017, na Estação Experimental da Syngenta Proteção de Cultivos, Holambra-SP. Os experimentos foram implantados no delineamento em blocos casualizados com 12 genótipos (experimentos 1 e 3) e 13 genótipos (experimento 2), com quatro repetições e parcela de dez plantas. O ajuste de modelos de regressão linear múltipla (método stepwise) foi realizado com base no experimento 1 (validação cruzada), no qual os melhores modelos (maior R² ajustado) foram selecionados e posteriormente testados com os dados dos experimentos 2 e 3, para cada uma das variáveis-resposta: peso comercial dos frutos tipo AAA (MWAAA), AA (MWAA), A (MWA), AA+AAA (MW23A) e peso médio de frutos comerciais (MFW), por meio do parâmetro erro absoluto percentual médio (MAPE). Os modelos com quatro pencas (2, 3, 6 e 9) apresentaram melhor balanço entre capacidade preditiva e número de pencas a serem colhidas. As variáveis MWAA, MW23A e MFW apresentaram estimativas confiáveis, uma vez que MAPE foi em torno de 5%. O modelo de regressão linear múltipla pode ser usado para estimativa de produtividade de parcelas o que, em última instância, contribui para a redução dos custos para condução de experimentos com híbridos de tomate de mesa.2022-01-27T16:24:50Z2022-01-27T16:24:50Z2021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfSILVA, P. T. P. et al. Yield prediction of experimental plots based on the harvest of specific fruit clusters for selection of fresh market tomato hybrids. Horticultura Brasileira, [S.l.], v. 39, n. 1, Jan./Mar. 2021.http://repositorio.ufla.br/jspui/handle/1/49040Horticultura Brasileirareponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessSilva, Paulo T. P.Oliveira, Gustavo E.Peloia, Paulo R.Carvalho, Regis C.Gonçalves, Flávia Maria A.por2022-01-27T16:24:50Zoai:localhost:1/49040Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2022-01-27T16:24:50Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Yield prediction of experimental plots based on the harvest of specific fruit clusters for selection of fresh market tomato hybrids
Predição de produtividade de parcelas experimentais com base na avaliação de pencas específicas para seleção de híbridos de tomate de mesa
title Yield prediction of experimental plots based on the harvest of specific fruit clusters for selection of fresh market tomato hybrids
spellingShingle Yield prediction of experimental plots based on the harvest of specific fruit clusters for selection of fresh market tomato hybrids
Silva, Paulo T. P.
Solanum lycopersicum
Tomato breeding
Linear regression
Melhoramento do tomateiro
Regressão linear
title_short Yield prediction of experimental plots based on the harvest of specific fruit clusters for selection of fresh market tomato hybrids
title_full Yield prediction of experimental plots based on the harvest of specific fruit clusters for selection of fresh market tomato hybrids
title_fullStr Yield prediction of experimental plots based on the harvest of specific fruit clusters for selection of fresh market tomato hybrids
title_full_unstemmed Yield prediction of experimental plots based on the harvest of specific fruit clusters for selection of fresh market tomato hybrids
title_sort Yield prediction of experimental plots based on the harvest of specific fruit clusters for selection of fresh market tomato hybrids
author Silva, Paulo T. P.
author_facet Silva, Paulo T. P.
Oliveira, Gustavo E.
Peloia, Paulo R.
Carvalho, Regis C.
Gonçalves, Flávia Maria A.
author_role author
author2 Oliveira, Gustavo E.
Peloia, Paulo R.
Carvalho, Regis C.
Gonçalves, Flávia Maria A.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Silva, Paulo T. P.
Oliveira, Gustavo E.
Peloia, Paulo R.
Carvalho, Regis C.
Gonçalves, Flávia Maria A.
dc.subject.por.fl_str_mv Solanum lycopersicum
Tomato breeding
Linear regression
Melhoramento do tomateiro
Regressão linear
topic Solanum lycopersicum
Tomato breeding
Linear regression
Melhoramento do tomateiro
Regressão linear
description The objective of this study was to propose models based on the harvest of specific fruit clusters to estimate the plot yield of trials containing fresh market tomato hybrids. Three experiments were conducted at the Experimental Station of Syngenta Crop Protection in the municipality of Holambra, state of São Paulo, Brazil, in 2016 and 2017. The experimental design was randomized complete blocks with 12 genotypes (experiments 1 and 3) and 13 genotypes (experiment 2), with 4 replicates and 10 plants per plot. Multiple linear regression models were fitted (stepwise method) with experiment 1 data (cross-validation), the best models were selected (higher adjusted R²) and then tested with experiments 2 and 3 data by mean of absolute percentage error (MAPE), for the traits mean weight of marketable fruit per plant A (MWA), AA (MWAA), AAA (MWAAA), AA and AAA (MW23A), and the ratio between the market weight and the number of marketable fruits (MFW). The models with four fruit clusters (2, 3, 6 and 9) showed the best balance between prediction capacity and the number of fruit clusters to harvest. The traits MWAA, MW23A and MFW generated reliable predictions, with MAPE approximately 5%. The multiple linear regression can be used to estimate the plot yield what, in the last instance, contributes to the reduction of the costs to conduct fresh market tomato hybrids
publishDate 2021
dc.date.none.fl_str_mv 2021
2022-01-27T16:24:50Z
2022-01-27T16:24:50Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv SILVA, P. T. P. et al. Yield prediction of experimental plots based on the harvest of specific fruit clusters for selection of fresh market tomato hybrids. Horticultura Brasileira, [S.l.], v. 39, n. 1, Jan./Mar. 2021.
http://repositorio.ufla.br/jspui/handle/1/49040
identifier_str_mv SILVA, P. T. P. et al. Yield prediction of experimental plots based on the harvest of specific fruit clusters for selection of fresh market tomato hybrids. Horticultura Brasileira, [S.l.], v. 39, n. 1, Jan./Mar. 2021.
url http://repositorio.ufla.br/jspui/handle/1/49040
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Horticultura Brasileira
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
_version_ 1815439055268085760

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