Go to Top Go to Bottom
Anim Biosci > Accepted Articles
https://doi.org/10.5713/ab.23.0236    [Accepted] Published online January 20, 2024.
Predicting standardized ileal digestibility of lysine in full-fat soybeans using chemical composition and physical characteristics
Chanwit Kaewtapee1,*  , Rainer Mosenthin2 
1Department of Animal Science, Faculty of Agriculture, Kasetsart University, 50 Ngam Wong Wan Rd., Latyao, Chatuchak, Bangkok, 10900, Thailand
2University of Hohenheim, Institute of Animal Science, Emil-Wolff-Strasse 10, 70599 Stuttgart, Germany
Correspondence:  Chanwit Kaewtapee, Tel: +66-859439491, Fax: +66-25791120, Email: agrcwk@ku.ac.th
Received: 27 June 2023   • Revised: 29 August 2023   • Accepted: 8 November 2023
Abstract
Objective
The present work was conducted to evaluate suitable variables and develop prediction equations using chemical composition and physical characteristics for estimating standardized ileal digestibility (SID) of lysine (Lys) in full-fat soybeans (FFSB).
Methods
The chemical composition and physical characteristics were determined including trypsin inhibitor activity (TIA), urease activity (UA), protein solubility in 0.2% potassium hydroxide (KOH), protein dispersibility index (PDI), lysine to crude protein ratio (Lys:CP), reactive Lys:CP ratio, neutral detergent fiber (NDF), neutral detergent insoluble nitrogen (NDIN), acid detergent insoluble nitrogen (ADIN), acid detergent fiber (ADF), L* (lightness) and a* (redness). Pearson’s correlation (r) was computed, and the relationship between variables was determined by linear or quadratic regression. Stepwise multiple regression was performed to develop prediction equations for SID of Lys.
Results
Negative correlations (p<0.01) between SID of Lys and protein quality indicators were observed for TIA (r=-0.80), PDI (r=-0.80) and urease (r=-0.76). The SID of Lys also showed a quadratic response (p<0.01) to UA, NDIN, TIA, L*, KOH, a* and Lys:CP. The best-fit model included TIA, UA, NDIN and ADIN, resulting in the highest coefficient of determination (R2=0.94).
Conclusion
Quadratic regression with one variable indicated the high accuracy for UA, NDIN, TIA and PDI. The multiple linear regression including TIA, UA, NDIN and ADIN is an alternative model used to predict SID of Lys in FFSB to improve the accuracy. Therefore, multiple indicators are warranted to assess either insufficient or excessive heat treatment accurately, which can be employed by the feed industry as measures for quality control purposes to predict SID of Lys in FFSB.
Keywords: Digestibility; Heat Indicator; Lysine; Prediction; Soybean


Editorial Office
Asian-Australasian Association of Animal Production Societies(AAAP)
Room 708 Sammo Sporex, 23, Sillim-ro 59-gil, Gwanak-gu, Seoul 08776, Korea   
TEL : +82-2-888-6558    FAX : +82-2-888-6559   
E-mail : editor@animbiosci.org               

Copyright © 2024 by Asian-Australasian Association of Animal Production Societies.

Developed in M2PI

Close layer
prev next