作物学报2023，Vol.49Issue(9)：2498-2504,7.DOI:10.3724/SP.J.1006.2023.24241
单粒花生蔗糖含量近红外预测模型的建立
Establishment of near-infrared reflectance spectroscopy model for predicting sucrose content of single seed in peanut
摘要
关键词
花生/单粒/蔗糖含量/近红外光谱/校准模型Key words
peanut/single seed/sucrose content/Near Infrared Spectroscopy(NIRS)/calibration model引用本文复制引用
胡美玲,王志慧,淮东欣,姜慧芳,雷永,廖伯寿,郅晨阳,薛晓梦,吴洁,王瑾,晏立英,王欣,陈玉宁,康彦平..单粒花生蔗糖含量近红外预测模型的建立[J].作物学报,2023,49(9):2498-2504,7.基金项目
本研究由国家重点研发计划项目(2018YFD1000901),河北省重点研发计划项目(21326316D),湖北省重点研发计划项目(2021BBA077)和中国农业科学院科技创新工程项目(CAAS-ASTIP-2013-OCRI)资助.This study was supported by the National Key Research and Development Program of China(2018YFD1000901),the Key Area Research and Development Program of Hebei Province(21326316D),the Key Area Research and Development Program of Hubei Province(2021BBA077),and the Science and Technology Innovation Project of Chinese Academy of Agricultural Sciences(CAAS-ASTIP-2013-OCRI). （2018YFD1000901）
