Fuzzy model to predict feed intake of Japanese quails
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Journal of Animal Behaviour and Biometeorology |
Texto Completo: | https://malque.pub/ojs/index.php/jabb/article/view/952 |
Resumo: | Thermal environment management have been a barrier to increase quail production, once it exerts direct and indirect effects on egg production and welfare. The objective of this study was to develop a fuzzy model to predict feed intake of Japanese laying quails. The model was developed based on data derived from field measurements, laboratory and the literature, regarding the environmental influence on feed intake (FI, g) of Japanese quail in laying. Air temperature (°C) and relative humidity (%) were defined as input variable, and FI as output variable. Mandani’s inference and center of gravity deuzzification methods were used for developing the model, as well as, trapezoidal membership functions for the input and output variables. The standard deviation (SD) among the values of observed and predicted FI by the fuzzy model, ranged from 0.01 g to 1.10 g, and the average deviation was 0.41 g. The average error (AE) and coefficient of determination (R²) found were 2.22% and 0.93, respectively. Therefore, the low values of SD, AE and high values R² indicate that the fuzzy model can be applied to estimate feed intake of Japanese quails. |
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Fuzzy model to predict feed intake of Japanese quailsCoturnix Coturnix Japonicafuzzy set theoryproductive performancethermal environmentThermal environment management have been a barrier to increase quail production, once it exerts direct and indirect effects on egg production and welfare. The objective of this study was to develop a fuzzy model to predict feed intake of Japanese laying quails. The model was developed based on data derived from field measurements, laboratory and the literature, regarding the environmental influence on feed intake (FI, g) of Japanese quail in laying. Air temperature (°C) and relative humidity (%) were defined as input variable, and FI as output variable. Mandani’s inference and center of gravity deuzzification methods were used for developing the model, as well as, trapezoidal membership functions for the input and output variables. The standard deviation (SD) among the values of observed and predicted FI by the fuzzy model, ranged from 0.01 g to 1.10 g, and the average deviation was 0.41 g. The average error (AE) and coefficient of determination (R²) found were 2.22% and 0.93, respectively. Therefore, the low values of SD, AE and high values R² indicate that the fuzzy model can be applied to estimate feed intake of Japanese quails.Malque Publishing2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionResearch Articlesapplication/pdfhttps://malque.pub/ojs/index.php/jabb/article/view/95210.31893/2318-1265jabb.v7n1p18-24Journal of Animal Behaviour and Biometeorology; Vol. 7 No. 1 (2019): January; 18-242318-12652318-1265reponame:Journal of Animal Behaviour and Biometeorologyinstname:Universidade Federal Rural do Semi-Árido (UFERSA)instacron:UFERSAenghttps://malque.pub/ojs/index.php/jabb/article/view/952/523Copyright (c) 2019 Malque Publishinghttps://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessCastro, Jaqueline de OliveiraYanagi Junior, TadayukiSchiassi, LeonardoFerraz, Patrícia Ferreira PoncianoFassani, Edison José2023-06-05T17:57:03Zoai:ojs2.malque.pub:article/952Revistahttps://periodicos.ufersa.edu.br/index.php/jabbPUBhttp://periodicos.ufersa.edu.br/revistas/index.php/jabb/oai||souza.jr@ufersa.edu.br2318-12652318-1265opendoar:2023-06-05T17:57:03Journal of Animal Behaviour and Biometeorology - Universidade Federal Rural do Semi-Árido (UFERSA)false |
dc.title.none.fl_str_mv |
Fuzzy model to predict feed intake of Japanese quails |
title |
Fuzzy model to predict feed intake of Japanese quails |
spellingShingle |
Fuzzy model to predict feed intake of Japanese quails Castro, Jaqueline de Oliveira Coturnix Coturnix Japonica fuzzy set theory productive performance thermal environment |
title_short |
Fuzzy model to predict feed intake of Japanese quails |
title_full |
Fuzzy model to predict feed intake of Japanese quails |
title_fullStr |
Fuzzy model to predict feed intake of Japanese quails |
title_full_unstemmed |
Fuzzy model to predict feed intake of Japanese quails |
title_sort |
Fuzzy model to predict feed intake of Japanese quails |
author |
Castro, Jaqueline de Oliveira |
author_facet |
Castro, Jaqueline de Oliveira Yanagi Junior, Tadayuki Schiassi, Leonardo Ferraz, Patrícia Ferreira Ponciano Fassani, Edison José |
author_role |
author |
author2 |
Yanagi Junior, Tadayuki Schiassi, Leonardo Ferraz, Patrícia Ferreira Ponciano Fassani, Edison José |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Castro, Jaqueline de Oliveira Yanagi Junior, Tadayuki Schiassi, Leonardo Ferraz, Patrícia Ferreira Ponciano Fassani, Edison José |
dc.subject.por.fl_str_mv |
Coturnix Coturnix Japonica fuzzy set theory productive performance thermal environment |
topic |
Coturnix Coturnix Japonica fuzzy set theory productive performance thermal environment |
description |
Thermal environment management have been a barrier to increase quail production, once it exerts direct and indirect effects on egg production and welfare. The objective of this study was to develop a fuzzy model to predict feed intake of Japanese laying quails. The model was developed based on data derived from field measurements, laboratory and the literature, regarding the environmental influence on feed intake (FI, g) of Japanese quail in laying. Air temperature (°C) and relative humidity (%) were defined as input variable, and FI as output variable. Mandani’s inference and center of gravity deuzzification methods were used for developing the model, as well as, trapezoidal membership functions for the input and output variables. The standard deviation (SD) among the values of observed and predicted FI by the fuzzy model, ranged from 0.01 g to 1.10 g, and the average deviation was 0.41 g. The average error (AE) and coefficient of determination (R²) found were 2.22% and 0.93, respectively. Therefore, the low values of SD, AE and high values R² indicate that the fuzzy model can be applied to estimate feed intake of Japanese quails. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Research Articles |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://malque.pub/ojs/index.php/jabb/article/view/952 10.31893/2318-1265jabb.v7n1p18-24 |
url |
https://malque.pub/ojs/index.php/jabb/article/view/952 |
identifier_str_mv |
10.31893/2318-1265jabb.v7n1p18-24 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://malque.pub/ojs/index.php/jabb/article/view/952/523 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2019 Malque Publishing https://creativecommons.org/licenses/by-nc-nd/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2019 Malque Publishing https://creativecommons.org/licenses/by-nc-nd/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Malque Publishing |
publisher.none.fl_str_mv |
Malque Publishing |
dc.source.none.fl_str_mv |
Journal of Animal Behaviour and Biometeorology; Vol. 7 No. 1 (2019): January; 18-24 2318-1265 2318-1265 reponame:Journal of Animal Behaviour and Biometeorology instname:Universidade Federal Rural do Semi-Árido (UFERSA) instacron:UFERSA |
instname_str |
Universidade Federal Rural do Semi-Árido (UFERSA) |
instacron_str |
UFERSA |
institution |
UFERSA |
reponame_str |
Journal of Animal Behaviour and Biometeorology |
collection |
Journal of Animal Behaviour and Biometeorology |
repository.name.fl_str_mv |
Journal of Animal Behaviour and Biometeorology - Universidade Federal Rural do Semi-Árido (UFERSA) |
repository.mail.fl_str_mv |
||souza.jr@ufersa.edu.br |
_version_ |
1799319802559332352 |