Determination of Hard Rate of Alfalfa (Medicago sativa L. ) Seeds with Near Infrared Spectroscopy
WANG Xin-xun1, CHEN Ling-ling1, 2, ZHANG Yun-wei1, MAO Pei-sheng1*
1. Beijing Municipal Key Laboratory of Grassland Science, Department of Grassland Science, China Agricultural University, Beijing 100193, China 2. Chifeng Academy of Agricultural and Animal Sciences, Institute of Grassland Research, Chifeng 024031, China
Abstract：Alfalfa (Medicago sativa L.) is the most commonly grown forage crop due to its better quality characteristics and high adaptability in China. However, there was 20%~80% hard seeds in alfalfa which could not be identified easily from non hard seeds which would cause the loss of seed utilization value and plant production. This experiment was designed for 121 samples of alfalfa. Seeds were collected according to different regions, harvested year and varieties. 31 samples were artificial matched as hard rates ranging from 20% to 80% to establish a model for hard seed rate by near infrared spectroscopy (NIRS) with Partial Least Square (PLS). The objective of this study was to establish a model and to estimate the efficiency of NIRS for determining hard rate of alfalfa seeds. The results showed that the correlation coefficient (R2cal) of calibration model was 0.981 6, root mean square error of cross validation (RMSECV) was 5.32, and the ratio of prediction to deviation (RPD) was 3.58. The forecast model in this experiment presented the satisfied precision. The proposed method using NIRS technology is feasible for identification and classification of hard seed in alfalfa. A new method, as nondestructive testing of hard seed rate, was provided to theoretical basis for fast nondestructive detection of hard seed rates in alfalfa.
Key words：Alfalfa (Medicago sativa L. );Seeds;Hard seed rate;Near infrared spectroscopy
王昕洵1，陈玲玲1,2，张蕴薇1，毛培胜1* . 不同硬实率紫花苜蓿种子的近红外光谱分析 [J]. 光谱学与光谱分析, 2016, 36(03): 702-705.
WANG Xin-xun1, CHEN Ling-ling1, 2, ZHANG Yun-wei1, MAO Pei-sheng1* . Determination of Hard Rate of Alfalfa (Medicago sativa L. ) Seeds with Near Infrared Spectroscopy . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(03): 702-705.
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