نوع مقاله : مقاله پژوهشی
نویسندگان
1 استادیار، گروه پرورش و مدیریت طیور، دانشکده کشاورزی، دانشگاه تربیت مدرس، تهران، ایران.
2 دانشجوی کارشناسی ارشد، گروه پرورش و مدیریت طیور، دانشکده کشاورزی، دانشگاه تربیت مدرس، تهران، ایران
چکیده
هدف از این پژوهش، بررسی معادلات رگرسیونی پیش‌بینی انرژی قابل متابولیسم گندم با استفاده از محتوای شمیایی آنها با استفاده از مطالعه متاآنالیزی بود. پایگاه داده‌ای متشکل از ترکیبات شیمیایی و محتوای انرژی قابل متابولیسم ظاهری تصحیح شده برای ازت (AMEn)، نمونه 111از واریته‌های مختلف گندم از منابع منتشر شده قبلی استخراج و بررسی شد. اطلاعات نمونه‌ها شامل پروتئین خام (CP)، چربی خام (EE)، فیبر خام (CF)، خاکستر (Ash) و AMEnبود. میانگین AMEn، (کیلوکالری در کیلوگرم2917/46) و میانگین CP، EE، CF و Ash بهترتیب 12/53، 2/12، 1/61، 1/56 (درصد ماده خشک) بود. با استفاده از پایگاه داده‌های طراحی شده، معادلات متا-رگرسیونی برای پیش‌بینی محتوای AMEn از روی ترکیبات شمیایی برازش شد. بهترین معادله به صورت CF% 185/4 + EE% 175/8 + CP% 45/8 + 1648= (کیلوکالری/کیلوگرم) AMEn به‌دست آمد. از این معادله می‌توان برای پیش‌بینی انرژی واریته‌های گندم در کارخانه‌های خوراک دام و یا مزارع پرورش طیور استفاده نمود.
کلیدواژه‌ها
عنوان مقاله [English]
Meta-analysis of metabolizable energy of wheat samples in poultry for determining regression equations based on chemical compositions
نویسندگان [English]
- Hamed Ahmadi 1
- Vahid Rasoli Marivani 2
- Yousef Mohammadi 2
1 Department of Poultry Science, Tarbiat Modares University
2 Poultry Science, Tarbiat Modares University
چکیده [English]
The goal of this study was to determine regression equations to predict metabolizable energy of wheat samples given their chemical compositions using meta-analytical approach. A database compromising chemical compositions and apparent metabolizable energy corrected for the nitrogen (AMEn) of 111 published sources of wheat strains was used. Sample information contains crude protein (CP), ether extract (EE), crude fiber (CF), ash and AMEn. Average values for AMEn was calculated as 2917.46 (kcal/kg), while for the CP, EE, CF, ash was calculated as 12.53, 2.12, 1.61and 1.56 (% dry matter), respectively. Meta-regression equations for predicting AMEn wheat based on chemical composition were developed and evaluated by means of provided database. Best equation obtained as: AMEn (kcal/kg)=
1648+45.8 %CP+175.8 %EE+ 185.4 %CF. This equation can be used for predicting energy of wheat variates in feed-factories and poultry farms.
کلیدواژه‌ها [English]
- meta-analysis
- nutritive value
- prediction
- regression
- wheat
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