A Study on the Distribution of Feed Value and Quality Grade of Imported Hay

Lee, Bae-Hun; Jihe, Kim; Mirae, Oh; Lee, Giwon; Gichun, Choi; Cheon, Dong-Won; Park, Hyeong-Su

doi:10.5333/kgfs.2020.40.1.1

Cited by 1 publication

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since hay exporters collect hay from different sources, possible nutrient variation can occur through the distribution process of imported hay. The Korean National Institute of Animal Science forage research group tested hays imported between 2016 and 2018 for nutrient concentration and found substantial discrepancies between the labeled nutrient concentration and actual analysis results [ 3 ]. Therefore, quality assurance of hay seems to rely on a trust-based relationship between sellers and buyers.…”

Section: Introductionmentioning

confidence: 99%

Application of near-infrared spectroscopy for hay evaluation at different degrees of sample preparation

Jeong,

Han,

Ahmadi

et al. 2024

Anim Biosci

View full text Add to dashboard Cite

Objective: A study compared the performance of the NIRS (Near-Infrared Spectroscopy) calibration models developed with different degrees of hay sample preparations.Methods: Spectral data of 1-mm ground or whole hay samples were regressed against wet chemistry results of moisture, NDF (neutral detergent fiber), ADF (acid detergent fiber), CP (crude protein), and IVDMD (in vitro dry matter digestibility). A total of 227 imported alfalfa (Medicago sativa L.) and another 360 timothy (Phleum pratense L.) hay samples were used to develop the calibration models.The models developed with ground hay samples were more robust and accurate than whole hay based on cross-validation's R 2 (coefficient of determination), standard error, and RPD (ratio percentage deviation). Results:The R 2 of cross-validation ranged from 0.61 (moisture of alfalfa) to 0.95 (CP prediction of timothy). Although R 2 of calibration models was mainly greater than 0.90, the R 2 of cross-validations remained marginal. Conclusion:Estimation of nutrient concentrations in imported hay can be achieved by calibrated NIRS. The NIRS calibration models must be improved by including more imported hay samples from different years and origins. 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 preparation inputs compromising analysis accuracy by NIRS.

show abstract

Section: Introductionmentioning

confidence: 99%