Application of Sinusoidal Equations to Partitioning Crude Protein and Metabolizable Energy Intake between Maintenance and Growth in Parent Stock of Broiler Chickens

محورهای موضوعی : Camel

ح. درمانی کوهی ¹ (Department of Animal Science, Faculty of Agricultural Science, University of Guilan, Rasht, Iran)
اس. لوپز ² (Departamento de Producción Animal, Instituto de Ganadería de Montaña, Universidad de León, E-24007 León, Spain)
آ. شعبان‌پور ³ (Department of Animal Science, Faculty of Agricultural Science, University of Guilan, Rasht, Iran)
آ. محیط ⁴ (Department of Animal Science, Faculty of Agricultural Science, University of Guilan, Rasht, Iran)
س. فلاحی ⁵ (Department of Mathematics, Salman Farsi University of Kazerun, Kazerun, Iran)
جی. فرانس ⁶ (Department of Animal Biosciences, Centre for Nutrition Modelling, University of Guelph, Guelph ON, N1G 2W1, Canada)

تاریخ دریافت : 1397/01/14 تاریخ پذیرش : 1397/05/24 تاریخ انتشار : 1398/03/11

کلید واژه: Protein, metabolizable energy, broiler parent stock, modeling growth, nutritional require-ments, sinusoidal functions,

چکیده مقاله :

Most models developed for poultry are linear to the point where genetic potential is reached. Models reliant on the premise that growth rate determines requirements based on some fixed rate of nutrient utilization do not adequately represent the biological phenomena involved. Therefore, a dichotomy between the accepted theories of nutrient utilization in animals and the assumptions of mathematical models to predict and analyze those requirements is evident. Since, responses of animals to dietary energy, protein and amino acids are curvilinear phenomena, they should be evaluated as such to estimate optimum economic levels, rather than as biological maxima. The objective of this study was to apply two sinusoidal functions exhibiting curvilinear behaviour to estimate metabolizable energy (ME) and crude protein (CP) requirements for maintenance and growth in parent stock of boiler chickens. The functions were fitted by non-linear regression to estimate the parameters, from which other biological indicators were calculated. The results of fitting the functions to data sets and their statistical performance and the biological interpretability of the parameter estimates showed the models’ capability in describing the relationship between body weight (BW) gain and ME (or CP) intake in parent stock of broiler chickens. The estimated maintenance requirements and the determined values of ME and CP requirements for BW gain were consistent with values reported previously by other researchers.

چکیده انگلیسی:

بیشتر مدل­های توسعه­یافته­در حد ظرفیت ژنتیکی رشد طیور خطی هستند. به هرحال، مدل­های خطی پایه­ریزی شده براساس مقادیر ثابت راندمان استفاده از مواد مغذی به ­طور مناسبی بیانگر فرایندهای ژنتیکی دخیل در رشد طیور نیستند. بنابراین، یک تناقض بین تئوری­های پذیرفته شده و فرضیات مدل­های ریاضی برای پیش­بینی و آنالیز نیازمندی­ها آشکار است. از آنجایی که پاسخ حیوان به انرژی، پروتئین و اسیدهای آمینه ضروری یک فرایند خطی-منحنی است، بنابراین بایستی به همین نحو برای تخمین سطوح مطلوب اقتصادی ارزیابی شوند. موضوع این مطالعه بکارگیری دو تابع سینوسی با رفتار خطی-منحنی برای تخمین نیازمندی­های انرژی متابولیسمی و پروتئین خام برای نگهداری و رشد در گله­های هسته جوجه­های گوشتی بود. توابع مدنظر با استفاده از رگرسیون غیر خطی برای تخمین پارامترهای استفاده شده جهت محاسبه مشخصه­های بیولوژیکی برازش داده شدند. نتایج برازش توابع به داده­ها و عملکرد آماری آنها و معنی­داری بیولوژیکی تخمین­های پارامتری، قابلیت مدل­ها را در توصیف ارتباط بین انرژی (یا پروتئین) و افزایش وزن بدن را در هسته­های والدینی جوجه­های گوشتی نشان داد. نیازمندی­های نگهداری تخمین زده شده و مقادیر تعیین شده از نیازمندی­های انرژی و پروتئین برای افزایش وزن در مطابقت با مقادیر گزارش شده توسط سایر محققین بوده ­است.

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