Modelling Growth Curves in a Nondescript Italian Chicken Breed: an Opportunity to Improve Genetic and Feeding Strategies
Growth, known as the relation between liveweight and age, is explained mathematically by functions that have parameters with biological meaning. These parameters are used to describe growth pattern over time and to estimate the expected weight of animals at specific ages. Animal growth generally f...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Japan Poultry Science Association
2015-10-01
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| Series: | The Journal of Poultry Science |
| Subjects: | |
| Online Access: | https://www.jstage.jst.go.jp/article/jpsa/52/4/52_0150048/_pdf/-char/en |
| _version_ | 1797816910712143872 |
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| author | Maria Selvaggi Vito Laudadio Cataldo Dario Vincenzo Tufarelli |
| author_facet | Maria Selvaggi Vito Laudadio Cataldo Dario Vincenzo Tufarelli |
| author_sort | Maria Selvaggi |
| collection | DOAJ |
| description | Growth, known as the relation between liveweight and age, is explained mathematically by functions that have parameters with biological meaning. These parameters are used to describe growth pattern over time and to estimate the expected weight of animals at specific ages. Animal growth generally follows a sigmoidal pattern and several nonlinear functions have been used to describe it. This study was carried out to estimate the parameters of logistic, Gompertz and Richards growth curve models in a nondescript chicken breed population from southern Italy to determine the goodness of fit. Male and female birds were weighed weekly starting from two to twenty-four weeks of age. Based on our dataset, chickens showed a slow-growth pattern. All the growth functions evaluated were easily fitted to the observed data by nonlinear regression; our findings showed that Gompertz model fitted liveweight data very well both for male and female birds being the best model for studying the growth of our animals. Nevertheless, the four-parameter Richards function provided also a good fit of the data. Success in studying the growth characteristics of our nondescript chicken breed will contribute to define appropriate feeding regimens and to develop selection programme. |
| first_indexed | 2024-03-13T08:45:40Z |
| format | Article |
| id | doaj.art-035250be62ec445f9a7c32414e353e31 |
| institution | Directory Open Access Journal |
| issn | 1346-7395 1349-0486 |
| language | English |
| last_indexed | 2024-03-13T08:45:40Z |
| publishDate | 2015-10-01 |
| publisher | Japan Poultry Science Association |
| record_format | Article |
| series | The Journal of Poultry Science |
| spelling | doaj.art-035250be62ec445f9a7c32414e353e312023-05-30T04:29:43ZengJapan Poultry Science AssociationThe Journal of Poultry Science1346-73951349-04862015-10-0152428829410.2141/jpsa.0150048jpsaModelling Growth Curves in a Nondescript Italian Chicken Breed: an Opportunity to Improve Genetic and Feeding StrategiesMaria Selvaggi0Vito Laudadio1Cataldo Dario2Vincenzo Tufarelli3Department DETO, Section of Veterinary Science and Animal Production, University of Bari ‘Aldo Moro’, ItalyDepartment DETO, Section of Veterinary Science and Animal Production, University of Bari ‘Aldo Moro’, ItalyDepartment DETO, Section of Veterinary Science and Animal Production, University of Bari ‘Aldo Moro’, ItalyDepartment DETO, Section of Veterinary Science and Animal Production, University of Bari ‘Aldo Moro’, ItalyGrowth, known as the relation between liveweight and age, is explained mathematically by functions that have parameters with biological meaning. These parameters are used to describe growth pattern over time and to estimate the expected weight of animals at specific ages. Animal growth generally follows a sigmoidal pattern and several nonlinear functions have been used to describe it. This study was carried out to estimate the parameters of logistic, Gompertz and Richards growth curve models in a nondescript chicken breed population from southern Italy to determine the goodness of fit. Male and female birds were weighed weekly starting from two to twenty-four weeks of age. Based on our dataset, chickens showed a slow-growth pattern. All the growth functions evaluated were easily fitted to the observed data by nonlinear regression; our findings showed that Gompertz model fitted liveweight data very well both for male and female birds being the best model for studying the growth of our animals. Nevertheless, the four-parameter Richards function provided also a good fit of the data. Success in studying the growth characteristics of our nondescript chicken breed will contribute to define appropriate feeding regimens and to develop selection programme.https://www.jstage.jst.go.jp/article/jpsa/52/4/52_0150048/_pdf/-char/enchicken breedgrowth curvenonlinear model |
| spellingShingle | Maria Selvaggi Vito Laudadio Cataldo Dario Vincenzo Tufarelli Modelling Growth Curves in a Nondescript Italian Chicken Breed: an Opportunity to Improve Genetic and Feeding Strategies The Journal of Poultry Science chicken breed growth curve nonlinear model |
| title | Modelling Growth Curves in a Nondescript Italian Chicken Breed: an Opportunity to Improve Genetic and Feeding Strategies |
| title_full | Modelling Growth Curves in a Nondescript Italian Chicken Breed: an Opportunity to Improve Genetic and Feeding Strategies |
| title_fullStr | Modelling Growth Curves in a Nondescript Italian Chicken Breed: an Opportunity to Improve Genetic and Feeding Strategies |
| title_full_unstemmed | Modelling Growth Curves in a Nondescript Italian Chicken Breed: an Opportunity to Improve Genetic and Feeding Strategies |
| title_short | Modelling Growth Curves in a Nondescript Italian Chicken Breed: an Opportunity to Improve Genetic and Feeding Strategies |
| title_sort | modelling growth curves in a nondescript italian chicken breed an opportunity to improve genetic and feeding strategies |
| topic | chicken breed growth curve nonlinear model |
| url | https://www.jstage.jst.go.jp/article/jpsa/52/4/52_0150048/_pdf/-char/en |
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