Application of a precision nutrition tool for growing and finishing pigs
ABSTRACT The objective of this study was to evaluate a growth model applied to adjust nutritional programs for growing and finishing pigs, in a commercial production context. The phase I (calibration) was conducted in a commercial pig production unit. The data were collected from a nutritional program, a feed program, and an animal profile. In experimental phase II, these data were entered in the InraPorc® model for simulations and to propose adjustments to the commercial nutritional program. Afterwards, the conventional nutritional program (CNP) and the adjusted nutritional program (ANP) were compared with InraPorc® simulation. Animal profile was collected by weighing 30% of pigs per stall and monitoring their feed intake in each stage. Four hundred and thirty-two pigs with an average initial body weight of 21.9 kg were used in a completely randomized design. There were no differences between treatments, the pig performance was affected by temperature conditions, and the fat thickness was 8% higher for CNP than ANP. In conclusion, the model has advantages to adjust growing and finishing pig nutrition programs and improve environmental and economic aspects.
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Sociedade Brasileira de Zootecnia
2017
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oai:scielo:S1516-359820170009007552017-11-07Application of a precision nutrition tool for growing and finishing pigsLovato,Gustavo DiasVale,Marcos Martinez doOliveira,Vladimir deKlein,Daniela ReginaBranco,Tatiane InraPorc® modeling pig production temperature ABSTRACT The objective of this study was to evaluate a growth model applied to adjust nutritional programs for growing and finishing pigs, in a commercial production context. The phase I (calibration) was conducted in a commercial pig production unit. The data were collected from a nutritional program, a feed program, and an animal profile. In experimental phase II, these data were entered in the InraPorc® model for simulations and to propose adjustments to the commercial nutritional program. Afterwards, the conventional nutritional program (CNP) and the adjusted nutritional program (ANP) were compared with InraPorc® simulation. Animal profile was collected by weighing 30% of pigs per stall and monitoring their feed intake in each stage. Four hundred and thirty-two pigs with an average initial body weight of 21.9 kg were used in a completely randomized design. There were no differences between treatments, the pig performance was affected by temperature conditions, and the fat thickness was 8% higher for CNP than ANP. In conclusion, the model has advantages to adjust growing and finishing pig nutrition programs and improve environmental and economic aspects.info:eu-repo/semantics/openAccessSociedade Brasileira de ZootecniaRevista Brasileira de Zootecnia v.46 n.9 20172017-09-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982017000900755en10.1590/s1806-92902017000900007 |
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Lovato,Gustavo Dias Vale,Marcos Martinez do Oliveira,Vladimir de Klein,Daniela Regina Branco,Tatiane |
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Lovato,Gustavo Dias Vale,Marcos Martinez do Oliveira,Vladimir de Klein,Daniela Regina Branco,Tatiane Application of a precision nutrition tool for growing and finishing pigs |
| author_facet |
Lovato,Gustavo Dias Vale,Marcos Martinez do Oliveira,Vladimir de Klein,Daniela Regina Branco,Tatiane |
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Lovato,Gustavo Dias |
| title |
Application of a precision nutrition tool for growing and finishing pigs |
| title_short |
Application of a precision nutrition tool for growing and finishing pigs |
| title_full |
Application of a precision nutrition tool for growing and finishing pigs |
| title_fullStr |
Application of a precision nutrition tool for growing and finishing pigs |
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Application of a precision nutrition tool for growing and finishing pigs |
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application of a precision nutrition tool for growing and finishing pigs |
| description |
ABSTRACT The objective of this study was to evaluate a growth model applied to adjust nutritional programs for growing and finishing pigs, in a commercial production context. The phase I (calibration) was conducted in a commercial pig production unit. The data were collected from a nutritional program, a feed program, and an animal profile. In experimental phase II, these data were entered in the InraPorc® model for simulations and to propose adjustments to the commercial nutritional program. Afterwards, the conventional nutritional program (CNP) and the adjusted nutritional program (ANP) were compared with InraPorc® simulation. Animal profile was collected by weighing 30% of pigs per stall and monitoring their feed intake in each stage. Four hundred and thirty-two pigs with an average initial body weight of 21.9 kg were used in a completely randomized design. There were no differences between treatments, the pig performance was affected by temperature conditions, and the fat thickness was 8% higher for CNP than ANP. In conclusion, the model has advantages to adjust growing and finishing pig nutrition programs and improve environmental and economic aspects. |
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Sociedade Brasileira de Zootecnia |
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2017 |
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http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982017000900755 |
| work_keys_str_mv |
AT lovatogustavodias applicationofaprecisionnutritiontoolforgrowingandfinishingpigs AT valemarcosmartinezdo applicationofaprecisionnutritiontoolforgrowingandfinishingpigs AT oliveiravladimirde applicationofaprecisionnutritiontoolforgrowingandfinishingpigs AT kleindanielaregina applicationofaprecisionnutritiontoolforgrowingandfinishingpigs AT brancotatiane applicationofaprecisionnutritiontoolforgrowingandfinishingpigs |
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