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Determination of forage quality by near-infrared reflectance spectroscopy in soybean
- 언어ENG
- URLhttps://db.koreascholar.com/Article/Detail/294405
Soybeans have been the favored livestock forage for centuries. However, little studies have been succeed in estimating forage quality of soybean by near-infrared reflectance spectroscopy (NIRS). To establish NIR equations for soybean forage quality, 353 forage soybean samples, including an 181 recombinant inbred line population derived from PI 483463 (G. soja) ´ Hutcheson (G. max), 104 cultivated soybeans (G. max) and 68 wild soybeans (G. soja) were used to develop NIR for four quality parameters: crude protein (CP), crude fat (CF), neutral detergent fiber (NDF), and acid detergent fiber (ADF). Two NIR spectroscopy equations developed for CP and CF (2,5,5,1; multiple scatter correction [MSC]) and for NDF and ADF (1,4,4,1; MSC) were the best prediction equations for estimating these parameters. The coefficients of determination in external validation set (r2) were 0.934 for CF, 0.909 for CP, 0.767 for NDF, and 0.748 for ADF. The relative predictive determinant (RPD) ratios for MSC (2,5,5,1) calibration indicate that the CP (3.34) and CF (3.45) equations were acceptable for quantitative prediction of soybean forage quality, whereas the NDF (2.34) and ADF (1.97) equations were useful for screening purposes. The NIR calibration equations developed in this study will be useful in predicting the contents of forage qualities and in breeding soybean for forage
