mathematical equations used to predict some bio-productive and digestives indices based on non-starch polysaccharides content of the wheat-based compound feed

ecuaciones matemáticas utilizadas para predecir algunos índices bioproductivos y digestivos a partir del contenido de polisacáridos no amiláceos del pienso compuesto a base de trigo

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ID: 147874
2013
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Abstract
The aim of this experiment was to establish mathematical equations to be used for estimation of the some bio-productive and physiological indices according to the non-starch polysaccharides (NSP) of the wheat-based compound feed, as well as according to the intestinal viscosity. The experiment was carried out during six weeks, on 120 Ross 308 hybrid chicken, divided into four experimental groups (LM, LE1, LE2, and LE3). Chickens in the four experimental groups were fed as follows: during the first rearing period, from hatching to 3 weeks of age, the compound feed provided 3117-3175 kcal ME and 22.26-22.69% CP, and during the second rearing period, from 4 to 6 weeks of age, the compound feed provided 3161-3212 kcal ME and 19.99-20.16% CP. The difference among experimental groups was the wheat proportion in the compound feed structure that varied between 0 and 40% during the whole rearing period of broilers, from hatching to 6 weeks of age. Based on the experimental data obtained and using the Data Fit software the mathematical equations for estimating the main nutritive and bio-productive indices were determined. Thus, the body weight at 3 weeks of age could be predicted with the following equation y=a+b*x*ln(x)+c*x 2.5, correlation coefficient between body weight and soluble NSP content being -0.93146, body weight at 6 weeks of age could be predicted with the equation y = a+b*ln(x)/x+c/x2, correlation coefficient between body weight and soluble NSP content being -0.822, feed conversion ratio could be predicted with the equation y=a+b*x*ln(x)+c*exp(x)¸ a negative correlation being found between the feed conversion ratio and NSP content, r=-0.7285.
El objetivo de este experimento fue establecer ecuaciones matemáticas para la estimación de algunos índices bioproductivos y fisiológicos en función de los polisacáridos no amiláceos (PNA) del pienso compuesto a base de trigo, así como de la viscosidad intestinal. El experimento se llevó a cabo durante seis semanas con 120 pollos híbridos Ross 308, divididos en cuatro grupos experimentales (LM, LE1, LE2 y LE3). Los pollos de los cuatro grupos experimentales fueron alimentados de la siguiente manera: durante el primer período de cría, desde la eclosión hasta las 3 semanas de edad, el pienso compuesto aportó 3117-3175 kcal de EM y 22,26-22,69 % de PB; y durante el segundo período de cría, de las 4 a las 6 semanas de edad, el pienso compuesto aportó 3161-3212 kcal de EM y 19,99-20,16 % de PB. La diferencia entre los grupos experimentales radicó en la proporción de trigo en la estructura del pienso compuesto, la cual varió entre el 0 y el 40 % durante todo el período de cría de los pollos de engorde, desde la eclosión hasta las 6 semanas de edad. A partir de los datos experimentales obtenidos y mediante el uso del software Data Fit, se determinaron las ecuaciones matemáticas para la estimación de los principales índices nutritivos y bioproductivos. De este modo, el peso corporal a las 3 semanas de edad pudo predecirse mediante la siguiente ecuación: y=a+b*x*ln(x)+c*x 2.5, con un coeficiente de correlación entre el peso corporal y el contenido de PNA solubles de -0,93146; el peso corporal a las 6 semanas de edad pudo predecirse mediante la ecuación y = a+b*ln(x)/x+c/x2, con un coeficiente de correlación entre el peso corporal y el contenido de PNA solubles de -0,822; y el índice de conversión alimenticia pudo predecirse mediante la ecuación y=a+b*x*ln(x)+c*exp(x), hallándose una correlación negativa entre el índice de conversión alimenticia y el contenido de PNA, r=-0,7285.
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tef2013scientificmathematical Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Lavinia Ştef;Eliza Simiz;Dan Drinceanu;Călin Julean;Ducu Stef;Voichița Gherasim;Ioan Pet;Ioana Dana Pandur
Journal Enzyme and microbial technology
Year 2013
DOI
DOI not found
URL
http://spasb.ro/index.php/spasb/article/view/121
Keywords
body weight regressionagriculturetechnologyscience

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