基于近红外光谱油分检测的玉米单倍体鉴别方法研究

doi:10.3964/j.issn.1000-0593(2018)04-1089-06

Abstract
References
Related Citation (15)

Download: PDF (2170 KB)
Export: BibTeX | EndNote (RIS)

Abstract At present, oil content difference between Haploid and diploid was used to identify haploid in maize breeding with NMR quantitative analysis. The method has been applied in the practical work, but NMR method is slow, expensive and difficult to maintain etc. It hindered its application in haploid breeding. NIR(Near infrared) spectroscopy technology has been widely used in petroleum, food, medicine and other fields due to its nondestructive, convenient advantages. The NIR qualitative analysis to identify Maize Haploid seeds also achieved a certain effect, but maize varieties used in NIR qualitative method in past research for identification is relatively small, for some varieties the recognition effect is not good. The internal mechanism of NIR qualitative analysis is similar to the black box, therefore it is difficult to distinguish content difference between haploid or diploid seeds, so it is difficult to get the approval of agricultural experts in the field. According to the principle of Xenia effect, there are obvious differences between oil content of Haploid and diploid, the oil identification principle is easy to understand intuitively. Therefore, a NIR quantitative analysis method for the identification of haploid maize is proposed. The experimental results show that the precision of NIR quantitative analysis method and NMR method are very close, under same condition, compared with several qualitative methods, recognition rate of NIR quantitative analysis method is superior to several qualitative analysis, which further proved that NIR quantitative analysis method has certain advantages. The method proposed can meet the requirements of precision of maize breeding industry, and it can boost the progress of maize breeding research.

Key words：Oil content; Haploid; Near infrared spectroscopy; Qualitative; Classification

Received: 2016-03-11 Accepted: 2016-12-22

ZTFLH:

O657.3

Cite this article:

URL:

https://www.gpxygpfx.com/EN/10.3964/j.issn.1000-0593(2018)04-1089-06 OR https://www.gpxygpfx.com/EN/Y2018/V38/I04/1089

[1] CAI Zhuo, XU Guo-liang(才卓，徐国良). Journal of Maize Science(玉米科学), 2008, 16(1): 1.
[2] MA Jun, JIANG Min, LIU Xin-fang, et al(马骏，姜敏，刘欣芳，等). Journal of Northeast Agricultural University(东北农业大学学报), 2011, 42(10): 135.
[3] CHEN Shao-jiang，LI Liang, LI Hao-chuan(陈绍江, 黎亮, 李浩川). Maize haploid Breeding Technology(玉米单倍体育种技术). Beijing：China Agricultural University Press, 2012.
[4] CHEN Shao-jiang，SONG Tong-ming(陈绍江，宋同明). Acta Agronomica Siniea(作物学报)，2003, 29(4)：587.
[5] SONG Peng, WU Ke-bin, ZHANG Jun-xiong, et al(宋鹏，吴克斌，张俊雄，等). Transactions of the Chinese Society for Agricultural Machinery(农业机械学报), 2012, 43(3): 168.
[6] ZHANG Jun-xiong, WU Zhan-yuan, SONG Peng, et al(张俊雄，武占元，宋鹏，等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2013, 29(4): 199.
[7] HAN Zhong-zhi, ZHAO You-gang, YANG Jin-zhong(韩仲志，赵友刚，杨锦忠). Transactions of the Chinese Society of Agricultural Engineering, 2010, 26(3): 222.
[8] Li Haochuan, Yang Jiwei, Qu Yanzhi, et al. Journal of Maize Sciences，2015(1)：73.
[9] Melchinger A E, Schipprack W, Friedrich Utz H, et al. Crop. Sci., 2014, 54(4): 1497.
[10] Albrecht E Melchinger, Markus Winter, Mi Xuefei, et al. Crop Science, 2015, 55(5~6): 1.
[11] Albrecht E Melchinger, Wolfgang Schipprack, Mi Xuefei, et al. Crop Sci.，2015, 55(1~2): 188.
[12] Xie C, Chu B, He Y. Food Chemistry, 2018, 245: 132.
[13] Dong X, Xu X, Miao J, et al. Theoretical and Applied Genetics, 2013, 126(7): 1713.
[14] Liu Jin, Guo Tingting, Yang Peiqiang, et al. Transactions of the Chinese Society of Agricultural Engineering，2012, 28(Supp2): 233.
[15] 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)，2015, 25(11)：1807.
[16] QIN Hong, MA Jing-yi, CHEN Shao-jiang, et al(覃鸿，马竞一，陈绍江，等). Infrared Technology(红外技术)，2015, 1(37): 78.
[17] YAN Yan-lu, CHEN Bin, ZHU Da-zhou(严衍禄, 陈斌，朱大洲). Near Infrared Spectroscopy Analytical-Principles, Technology and Application (近红外光谱分析的原理、技术与应用). Beijing: China Light Industry Press(北京: 中国轻工业出版社), 2007.
[18] LI Hao-guang, LI Wei-jun, QIN Hong, et al(李浩光，李卫军，覃鸿，等). Transactions of The Chinese Society of Agricultural Machinery(农业机械学报)，2016, 47(6): 259.