[Prediction of IVDMD with near infrared reflectance spectroscopy (NIRS) in maize stalk].
The in vitro dry matter digestion (IVDMD) in maize stalk was analyzed with 161 samples selected from 600 samples of different eco-environments, hybrids and inbred lines, development stages, and various parts of the plants in two years. The technique of near infrared reflectance spectroscopy (NIRS) and partial least square regression (PLS) were used to establish the models by comparing several preprocessing procedures and wavelength ranges. The optimal models could be obtained in the range of 6 101. 7-5 773. 8 cm(-1) and 4 601. 3-4 246. 5 cm(-1) by the spectral data preprocessing of the Max-Min normalization. The model is suitable for measuring various sample IVDMD. The determination coefficients of the modes were 0.907 3 and 0.906 6 for cross and external validation, respectively. The root mean square error of prediction was 2.08%, and the coefficient of correlation(r) was 0.956 between NIRS predicted and actual IVDMD in these materials. The results showed that NIRS is a simple effective means for measuring IVDMD in maize stalk. The results are of great value of application in screening and evaluating quality constituents of silage maize.
Bai
Qi-Lin
QL
National Maize Improvement Center of China, China Agricultural University, Beijing 100094, China.
Chen
Shao-Jiang
SJ
Dong
Xiao-Ling
XL
Meng
Qing-Xiang
QX
Yan
Yan-Lu
YL
Dai
Jing-Rui
JR
D000821:Animal Feed / Q000032:analysis*; D000818:Animals; D002417:Cattle; D004063:Digestion; D016018:Least-Squares Analysis; D008297:Male; D018547:Plant Stems / Q000737:chemistry; D019265:Spectroscopy, Near-Infrared / Q000379:methods*; D003313:Zea mays / Q000737:chemistry*