PREDICTION THE METABOLIZABLE ENERGY OF MOST WHEAT CULTIVARS OF ALBORZ PROVINCE WITH A MULTIPLE REGRESSION EQUATION

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NOORGHADIMI JAMSHID; MORAVEG HOSSEIN; GHAZIANI FATEMEH; AKBARI RASOUL

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Journal: Iranian Journal of Animal Science Year:2016 | Volume:46 | Issue:4 Page(s): 379-388

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Title

PREDICTION THE METABOLIZABLE ENERGY OF MOST WHEAT CULTIVARS OF ALBORZ PROVINCE WITH A MULTIPLE REGRESSION EQUATION

Author(s)

NOORGHADIMI JAMSHID | MORAVEG HOSSEIN | GHAZIANI FATEMEH | AKBARI RASOUL | Issue Writer Certificate

Keywords

APPARENT ENERGYQ2

CHEMICAL ANALYSISQ2

CHROME OXIDEQ2

FIBERQ2

STARCHQ2

Abstract

This study was conducted to determine regression equations for the prediction metabolizable energy value corrected for zero nitrogen retention (AMEn) in 12 wheat cultivars (mahdavi, chamran, sabalan, sepahan, sivand, alamoot, sholeh, neishaboor, pishtaz, bahar, shiraz and shahpasand) Cultured in Alborz province of Iran. Chromic oxide marker bioassay was used to determine wheat cultivars nitrogen-corrected AME (AMEn) content for adult roosters. The experimental diets were composed of 40% of test sample and the remaining 60% was a combination of other ingredients held constant across diets. AMEn value of the test samples were calculated and related to their chemical composition by regression analysis with SPSS software. The result of multiple regression equations was shown that CF and STARCH are the best factors for prediction of AMEn. The equation for prediction of AMEn based on chemical composition was:AMEnwheat (Kcal/Kg of DM) = 69 STA - 1028 CF.

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APA: Copy

NOORGHADIMI, JAMSHID, MORAVEG, HOSSEIN, GHAZIANI, FATEMEH, & AKBARI, RASOUL. (2016). PREDICTION THE METABOLIZABLE ENERGY OF MOST WHEAT CULTIVARS OF ALBORZ PROVINCE WITH A MULTIPLE REGRESSION EQUATION. IRANIAN JOURNAL OF ANIMAL SCIENCE (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), 46(4), 379-388. SID. https://sid.ir/paper/193689/en

Vancouver: Copy

NOORGHADIMI JAMSHID, MORAVEG HOSSEIN, GHAZIANI FATEMEH, AKBARI RASOUL. PREDICTION THE METABOLIZABLE ENERGY OF MOST WHEAT CULTIVARS OF ALBORZ PROVINCE WITH A MULTIPLE REGRESSION EQUATION. IRANIAN JOURNAL OF ANIMAL SCIENCE (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES)[Internet]. 2016;46(4):379-388. Available from: https://sid.ir/paper/193689/en

IEEE: Copy

JAMSHID NOORGHADIMI, HOSSEIN MORAVEG, FATEMEH GHAZIANI, and RASOUL AKBARI, “PREDICTION THE METABOLIZABLE ENERGY OF MOST WHEAT CULTIVARS OF ALBORZ PROVINCE WITH A MULTIPLE REGRESSION EQUATION,” IRANIAN JOURNAL OF ANIMAL SCIENCE (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), vol. 46, no. 4, pp. 379–388, 2016, [Online]. Available: https://sid.ir/paper/193689/en

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