التفاصيل البيبلوغرافية
| العنوان: |
Application of near-infrared spectroscopy for hay evaluation at different degrees of sample preparation. |
| المؤلفون: |
Eun Chan Jeong, Kun Jun Han, Ahmadi, Farhad, Yan Fen Li, Li Li Wang, Young Sang Yu, Jong Geun Kim |
| المصدر: |
Animal Bioscience; Jul2024, Vol. 37 Issue 7, p1196-1203, 8p |
| مصطلحات موضوعية: |
NEAR infrared spectroscopy, ALFALFA, FEED analysis, HAY, WET chemistry |
| مستخلص: |
Objective: A study was conducted to quantify the performance differences of the near-infrared spectroscopy (NIRS) calibration models developed with different degrees of hay sample preparations. Methods: A total of 227 imported alfalfa (Medicago sativa L.) and another 360 imported timothy (Phleum pratense L.) hay samples were used to develop calibration models for nutrient value parameters such as moisture, neutral detergent fiber, acid detergent fiber, crude protein, and in vitro dry matter digestibility. Spectral data of hay samples prepared by milling into 1-mm particle size or unground were separately regressed against the wet chemistry results of the abovementioned parameters. Results: The performance of the developed NIRS calibration models was evaluated based on R², standard error, and ratio percentage deviation (RPD). The models developed with ground hay were more robust and accurate than those with unground hay based on calibration model performance indexes such as R² (coefficient of determination), standard error, and RPD. Although the R² of calibration models was mainly greater than 0.90 across the feed value indexes, the R² of cross-validations was much lower. The R² of cross-validation varies depending on feed value indexes, which ranged from 0.61 to 0.81 in alfalfa, and from 0.62 to 0.95 in timothy. Estimation of feed values in imported hay can be achievable by the calibrated NIRS. However, the NIRS calibration models must be improved by including a broader range of imported hay samples in the modeling. Conclusion: Although the analysis accuracy of NIRS was substantially higher when calibration models were developed with ground samples, less sample preparation will be more advantageous for achieving rapid delivery of hay sample analysis results. Therefore, further research warrants investigating the level of sample preparations compromising analysis accuracy by NIRS. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
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