Determination of forage quality by near-infrared reflectance spectroscopy in soybean

Authors : Sovetgul ASEKOVA, Sangik HAN, Hongjib CHOI, Sangjo PARK, Donghyun SHIN, Chanho KWON, J Grover SHANNON, Jeong Dong LEE

Pages : 45-52

View : 15 | Download : 8

Publication Date : 2016-02-01

Article Type : Research Paper

Abstract :Soybeans have been a favored livestock forage for centuries. However, only a few studies have been conducted to estimate the forage quality of soybean by near-infrared reflectance spectroscopy insert ignore into journalissuearticles values(NIRS);. In this study, 353 forage soybean samples were used to develop near-infrared reflectance insert ignore into journalissuearticles values(NIR); equations to estimate four forage quality parameters: crude protein insert ignore into journalissuearticles values(CP);, crude fat insert ignore into journalissuearticles values(CF);, neutral detergent fiber insert ignore into journalissuearticles values(NDF);, and acid detergent fiber insert ignore into journalissuearticles values(ADF);. Samples included 181 recombinant inbred lines derived from PI 483463 insert ignore into journalissuearticles values(G. Soja); × Hutcheson insert ignore into journalissuearticles values(G. Max);, 104 cultivated soybeans insert ignore into journalissuearticles values(G. Max);, and 68 wild soybeans insert ignore into journalissuearticles values(G. Soja);. Two NIR equations developed for CP and CF insert ignore into journalissuearticles values(2,5,5,1; multiple scatter correction [MSC]); and for NDF and ADF insert ignore into journalissuearticles values(1,4,4,1; MSC); were the best prediction equations for estimating these parameters. The coefficients of determination in the external validation set insert ignore into journalissuearticles values(r2); were 0.934 for CF, 0.909 for CP, 0.767 for NDF, and 0.748 for ADF. The relative predictive determinant ratios for MSC insert ignore into journalissuearticles values(2,5,5,1); calibration indicate that the CP insert ignore into journalissuearticles values(3.25); and CF insert ignore into journalissuearticles values(3.85); equations were acceptable for quantitative prediction of soybean forage quality, whereas the NDF insert ignore into journalissuearticles values(2.07); and ADF insert ignore into journalissuearticles values(1.97); equations were useful for screening purposes. The NIR calibration equations developed in this study will be useful in predicting soybean forage quality for these four quality parameters.
Keywords : Near infrared reflectance spectroscopy NIRS, forage quality, soybean, wild soybean