Article ; Online: Developing models to predict feces and urine excretion in Japanese Black fattening steer by multiple regression analysis.
Animal science journal = Nihon chikusan Gakkaiho
2023 Volume 94, Issue 1, Page(s) e13874
Abstract: The objective of this study was to develop models for predicting the amount of feces and urine excreted by Japanese Black fattening steer using a dataset of 119 digestion trials for a total of 46 animals. Correlation analysis was used to analyze the ... ...
Abstract | The objective of this study was to develop models for predicting the amount of feces and urine excreted by Japanese Black fattening steer using a dataset of 119 digestion trials for a total of 46 animals. Correlation analysis was used to analyze the relationships between feces and urine excretion and feed intake, feed digestibility, and nitrogen balance. Multiple regression analysis was conducted to develop models for predicting the amount of feces and urine excreted using the explanatory variables selected from various animal and dietary parameters based on P-value (<0.10) and variance inflation factor (<3.0). Resultingly, dry matter intake was a primary predictor of feces excreted. The prediction equation for the amount of feces excretion as a function of body weight, dry matter intake, and calculated total digestible nutrients fits the data well (adjusted coefficient of determination [adj R |
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MeSH term(s) | Animals ; Digestion ; Feces/chemistry ; Body Fluids ; Diet/veterinary ; Regression Analysis ; Nitrogen/analysis ; Animal Feed/analysis |
Chemical Substances | Nitrogen (N762921K75) |
Language | English |
Publishing date | 2023-09-18 |
Publishing country | Australia |
Document type | Journal Article |
ZDB-ID | 2095161-9 |
ISSN | 1740-0929 ; 1344-3941 |
ISSN (online) | 1740-0929 |
ISSN | 1344-3941 |
DOI | 10.1111/asj.13874 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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