کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8491087 | 1552352 | 2017 | 26 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Prediction of the digestibility and energy contents of non-conventional by-products for pigs from their chemical composition and in vitro digestibility
ترجمه فارسی عنوان
پیش بینی میزان قابلیت هضم و محتوای مواد غیر متعارف برای خوک ها از ترکیب شیمیایی و هضم در محیط آزمایشگاهی
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کلمات کلیدی
ATTDNDFdOMDNDFADFDMDGEDcpd - CPDLIG - LIGAPig - خوکIn vitro - درونکشتگاهیCFD - دینامیک سیالاتether extract - عصاره اترcrude fiber - فیبر خامneutral detergent fiber - فیبر مواد شوینده خنثیDigestibility - قابلیت هضمacid detergent lignin - لیگنین پاک کننده اسیدorganic matter - ماده آلیdry matter - ماده خشکBy-product - محصول جانبیneutral detergent fiber digestibility - هضم فیبر محلول پاک کنندهOrganic matter digestibility - هضم ماده آلیIn vitro organic matter digestibility - هضم ماده آلی درون in vitrodry matter digestibility - هضم ماده خشک مادهCrude protein digestibility - هضم پروتئین خامApparent total tract digestibility - هضم کامل هضم کاملbody weight - وزن بدنcrude protein - پروتئین خامPrediction - پیش بینی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
علوم دامی و جانورشناسی
چکیده انگلیسی
The objective of the present study was to determine some prediction equations of gross energy content (GE), organic matter digestibility (OMd), gross energy digestibility (GEd) and the content of digestible (DE) and metabolizable energy (ME) of agro-industrial by-products for pigs, using the chemical composition and an in vitro digestibility method. Mean values of chemical composition (dry matter, DM; organic matter, OM; gross energy, GE; crude protein, CP; ether extract, EE; crude fiber, CF; neutral detergent fiber, NDF, and acid detergent fiber, ADF) were available from previous work and an in vitro OM digestibility method (IN VITRO) was performed. A total of eight by-products (liquid bakery by-product, brewer's by-product, hominy feed, high-moisture corn, mayonnaise, almond meal, cocoa meal and kiwi fruit) were used in this study, and their in vivo OMd and GEd were known from previous experiments. The best equation for GE prediction was: GE = 9.58 EE + 6.50 CP + 4.28 carbohydrates (OM-CP-EE) (R2 = 1.00; CV = 5.52). When only the chemical composition was used as independent variables, NDF and ADF were the best predictors (R2 = 0.65-0.78; CV = 12.30-10.85) for OMd and GEd, and EE plus ADF for DE and ME (R2 = 0.94-0.88; CV = 13.10-16.64). However, the best-fitted equations were: OMd = 30.90-0.302 ADF + 0.639 IN VITRO (R2 = 0.95; CV = 4.99); GEd = 34.81-0.493 ADF + 0.589 IN VITRO (R2 = 0.96; CV = 4.93); DE = 846.34 + 5.081 EE + 3.045 IN VITRO (R2 = 0.97; CV = 8.57), and ME = 687.45 + 5.057 EE + 3.150 IN VITRO (R2 = 0.97; CV = 9.78). Additionally, when the two high EE by-products (mayonnaise and almond meal; EE >50%) were excluded, the most accurate equations for DE and ME were: DE = 1415.96 + 2.764 IN VITRO (R2 = 0.97; CV = 3.10), and ME = 1262.92 + 2.868 IN VITRO (R2 = 0.97; CV = 2.68). These results indicated that GE, OMd, GEd, DE and ME may be accurately predicted from chemical composition, and especially from the in vitro OM digestibility.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Animal Feed Science and Technology - Volume 234, December 2017, Pages 237-243
Journal: Animal Feed Science and Technology - Volume 234, December 2017, Pages 237-243
نویسندگان
C. Sol, L. Castillejos, S. López-Vergé, J. Gasa,