HUANG Wen-jiang, WANG Ji-hua, LIU Liang-yun, ZHAO Chun-jiang,SONG Xiao-yu, MA Zhi-hong(National Engineering Research Center for Information Technology inAgriculture,Beijing100089,China)Abstract:It was studied the relationship between grain quality indicators and environmental effective fac-tors such as genetypes, environmental factors and cultivation modes. Remote sensing offers the potentialto determine rapidly the physiological conditions of wheat in wide areas, and spectral reflectance measure-ment at canopy scales in the field provides a promising, expeditious and nondestructive way to take gatherinformation in a relatively wide area in a short-term duration. With development of space techniques, re-mote sensing will is being broadly applied in agriculture. This study has shown that there was are robustcorrelations between spectral index of Structure Insensitive Pigment Index(SIPI)and the ratio of carotenoidto chlorophyll a content, the leaf foliar total nitrogen constituentsconcentration and grain quality in-dexindicators at anthesis stage. The predictions of grain protein, dry gluten, and wet gluten content by fo-liar total nitrogen concentration at anthesis stage were surprisingly good, so it is feasible for forecastinggrain quality indicators by hypersepectral data at anthesis stage.Key words:Winter wheat, Hyperspectral data, Grain quality, Monitoring methods
