Abstract:To enhance quality breeding in Perilla frutescens, 250 lines of purple perillas collected from whole China were selected as material in the present study, combined with the technology of near infrared reflectance spectroscopy (NIRS) and partial least square method, NIRS Calibration Models for determination the content of oil. Palmitate (C16∶0), stearic acid (C18∶0), oleic acid (C18∶1), linoleic acid (C18∶2) and a-linolenic acid (C18∶3) were established, respectively. The results showed that, the coefficients of determination of all the models for calibration (RSQ1) were 0.98, 0.91, 0.92, 0.92, 0.85, 0.93, respectively. In addition, the cross validation correlation coefficient (1-VR) were 0.97, 0.89, 0.89, 0.91, 0.85 and 0.91, respectively while the external validation correlation coefficient (RSQ) were 0.98, 0.91, 0.89, 0.90, 0.80 and 0.89, respectively. All models above have proven credible as the low value for Calibration standard error (SEC) were 0.99, 0.21, 0.1, 0.94, 0.81, 0.92, respectively; Cross validation standard error (SECV) were 1.16, 0.23, 0.11, 1.05, 0.92, 1.02, respectively; and Standard error of prediction (SEP) were 0.97, 0.21, 0.11, 1.12, 0.99, 1.14, respectively, suggesting that these calibration models are accurate, feasible and highly efficient. The establishment of these NIRS Calibration Models can provide guidance in resource development and quality breeding of Perilla frutescens L and specifically are of great significance for breeding varieties with high oil content.
[1] TAN Mei-lian,YAN Ming-fang,WAN Lei,et al(谭美莲,严明芳,汪 磊,等). Chinese Journal of Oil Crop Sciences(中国油料作物学报),2012,34(2):225.
[2] WU Rao,MA Fei,ZHANG Liang-xiao,et al(吴 娆,马 飞,张良晓,等). Chinese Journal of Analytical Chemistry(分析化学),2015,43(10):1600.
[3] Velasco L,Becker H C. Euphytica,1998,101:221.
[4] QIAO Yao-yao,ZHAO Wu-qi,HU Xin-zhong,et al(乔瑶瑶,赵武奇,胡新中,等). Journal of the Chinese Cereals and Oils Association(中国粮油学报),2016,31(8):119.
[5] LIU Kai,SUN Ming-fa,YAN Guo-hong,et al(刘 凯,孙明法,严国红,等). Jiangsu Agricultural Sciences(江苏农业科学),2016,44(7):121.
[6] SHI Ji-yong,ZOU Xiao-bo,ZHAO Jie-wen,et al(石吉勇,邹小波,赵杰文,等). Transaction of the Chinese Society of Agricultural Engineering(农业工程学报),2011,27(8):283.
[7] QIN Hong,MA Jing-yi,CHEN Shao-jiang,et al(覃 鸿,马竞一,陈绍江,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2016,36(1):292.
[8] CHAI Yu-hua,TAN Ke-zhu(柴玉华,谭克竹). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报),2007,23(1):238.
[9] LI Shi-meng,WANG Nai-hong,ZHANG Min,et al(李施蒙,王耐红,张 敏,等). Guangdong Agricultural Sciences(广东农业科学),2014,21:16.
[10] ZHANG Jian-cheng,WANG Chuan-tang,WANG Xiu-zhen,et al(张建成,王传堂,王秀贞,等). Chinese Agricultural Science Bullentin(中国农学通报). 2011,27(3):90.
[11] HUANG Zhuang-rong,SHA Sha,RONG Zheng-qin,et al(黄庄荣,沙 莎,荣正勤,等). Chinese Journal of Analytical Chemistry(分析化学),2013,41(6):922.
[12] WU Jin-hong,ZHANG Hong-jiang,MEI Han-wei,et al(吴金红, 张洪江, 梅捍卫, 等). Scientia Agricultura Sinica(中国农业科学),2006,39(12):2435.