KOREASCHOLAR

In this study, whole crop rice samples were used to develop near-infrared reflectance (NIR) equations to estimate six forage quality parameters: Moisture, crude protein (CP), neutral detergent fiber (NDF), acid detergent fiber (ADF), Ash and relative feed value (RFV). A population of 564 whole crop rice representing a wide range in chemical parameters was used in this study. Undried finely chopped whole crop rice samples were scanned at 1 nm intervals over the wavelength range 680–2500 nm and the optical data recorded as log 1/Reflectance (log 1/R). NIRS calibrations were developed by means of partial least-squares (PLS) regression. The correlation coefficients of cross-validation (R2 cv) and standard error of cross-validation (SECV) for whole crop rice calibration were 0.98 (SECV 1.81%) for moisture, 0.89 (SECV 0.50%) for CP, 0.86 (SECV 1.79%) for NDF, 0.89 (SECV 0.86%) for ash, and 0.84 (SECV 5.21%) for RFV on a dry matter (%), respectively. The NIRS calibration equations developed in this study will be useful in predicting whole crop rice quality for these six quality parameters.

ABSTRACT
Ⅰ. 서 론
Ⅱ. 재료 및 방법시료
    1. NIR 스펙트럼 수집
    2. 사료가치 분석
    3. NIRS 검량식 작성 및 검증
Ⅲ. 결과 및 고찰
    1. 사료용 벼의 스펙트럼 및 이화학적 특성
    2. 검량식 작성 및 검증
Ⅳ. 요 약
Ⅴ. 사 사
Ⅵ. REFERENCES

• 김지혜(농촌진흥청 국립축산과학원) | Ji Hye Kim (National Institute of Animal Science)
• 이기원(농촌진흥청 국립축산과학원) | Ki-Won Lee (National Institute of Animal Science)
• 오미래(농촌진흥청 국립축산과학원) | Mirae Oh (National Institute of Animal Science)
• 박형수(농촌진흥청 국립축산과학원) | Hyung Soo Park (National Institute of Animal Science) Corresponding author