Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/37776
Title: Energia metabolizável de alimentos determinada in vivo e por métodos indiretos para diferentes categorias de aves
Other Titles: Energy of metabolizable food determined in vivo and by indirect methods for different bird categories
Authors: Rodrigues, Paulo Borges
Fassani, Édison José
Alvarenga, Renata Ribeiro
Lima, Renato Ribeiro de
Marino, Flávia Cristina Martins Queiroz
Keywords: Avicultura
Ave - Criação
Ave - Alimentação
Ave - Rações
Ave - Nutrição
Aviculture
Birds - Feeding
Birds - Feeds
Issue Date: 26-Nov-2019
Publisher: Universidade Federal de Lavras
Citation: OLIVEIRA, E. C. de. Energia metabolizável de alimentos determinada in vivo e por métodos indiretos para diferentes categorias de aves. 2019. 102 p. Tese (Doutorado em Zootecnia) – Universidade Federal de Lavras, Lavras, 2019.
Abstract: The objective of this study was to propose prediction equations for different categories of birds (broilers, spare pullets and laying hens) and to evaluate different prediction methods to estimate the AMEn values of corn, soybean meal, wheat bran and sorghum. To determine in vivo values, three metabolism assays were conducted: Trial I with 390 21-day-old broilers, Trial II with 240 13-week replacement pullets, and Trial III with 156 27-week-old laying hens. The birds received reference feeding, which were replaced by 40% of energy concentrate feed and 30% of protein concentrate feed. The birds were randomly distributed in six replications in each experimental plot, which consisted of five broilers, three spare pullets and two laying hens in their respective metabolic assays. Correlations between chemical components of food and metabolizable energy were estimated and, subsequently, prediction equations were obtained for each bird category by multiple linear regression and the choice of the best-fitted model was based on the Akaike Information Criterion obtained by stepwise procedure. The chemical composition values were used to estimate AMEn by different estimation methods: AMEn Predictor neural networks, Bayesian networks and equations obtained by meta-analysis. The best-fitted overall equation for estimating AMEn of broiler feed was AMEn = 4048,731-14,087PB-196,498FB; for replacement pullets: AMEn = 4238.899-17.02PB + 120.368MM-924.087 calcium-2680.438 phosphorus; and for laying hens: AMEn = 4156.31 + 35.54PB + 151.12FB + 97.70FDN-223.93FDA-4369.33 calcium- 451.78phosphorus. For energy feeds the best-fitted equation that estimated AMEn for broiler chickens was: AMEn = 1983.21 + 373.20EE + 746.01 MM-481.93FB + 192.46FDA- 76.69FDN; for replacement pullets: AMEn = -6584.7 + 496.1PB + 3314.2MM + 952.5EE- 1728.5FB-548.0FDN + 1345.5FDA + 8075.7 calcium; and for laying hens: AMEn = 5319.44- 427.74MM-152.65EE + 408.26FB + 181.19FDN-378.29FDA-4630.37 calcium-6227.04 phosphorus. None of the evaluated prediction models provided efficiency for field applications. To improve the accuracy of the methods, it is necessary to add new categories of birds and to update the database used to develop these methods, ensuring that the data used refer to current genetically birds and food.
URI: http://repositorio.ufla.br/jspui/handle/1/37776
Appears in Collections:Zootecnia - Doutorado (Teses)



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.