不同微肥处理下油菜产量与高光谱反射率关系分析

doi:10.3964/j.issn.1000-0593(2021)02-0552-06

Abstract
References
Related Citation (15)

Download: PDF (1606 KB)
Export: BibTeX | EndNote (RIS)

Abstract Rape is the largest domestic plant oil source in China. It is necessary to apply appropriate micro fertilizer in field production to improve yield and quality. It is very important to build a model which can quickly screen the micronutrient fertilizer to improve the yield of rape. In this research, the spectral reflectance of high oleic acid rape “FanMing No.1” in the whole growth period under different micro fertilizer conditions was measured by ground object spectrometer. And chlorophyll content was accurately determined by ethanol extraction method. The correlation between spectral reflectance, chlorophyll content and final yield was analyzed. The yield test showed that the application of micro fertilizer could increase the yield of rape and the content of chlorophyll at the bolting stage. It could increase the yield of a single plant by up to 2%. The correlation analysis of spectral parameters and chlorophyll showed that the correlation between chlorophyll content and spectral parameters was high at 550 and 720 nm, which indicated that the spectral parameters could be used to predict yield and screen out the micro fertilizer which could improve the yield of rape. The correlation analysis of chlorophyll content and yield showed that the correlation between chlorophyll content and yield was high at the bolting stage. The correlation analysis between the spectral parameters and the yield showed that there was a significant negative correlation between the reflectivity of 550 and 720 nm and the yield. The correlation analysis between the spectral parameters and the yield showed that there was a significant negative correlation between the reflectivity of 550 and 720 nm and the yield. Comprehensive analysis of fertilization, spectral parameters, yield and chlorophyll changes showed that the linear equation of the correlation coefficient between the spectral parameters 550 and 720 nm and yield could be used to screen the micro fertilizer, and the linear equation was y=-32.362x+33.097, y=4.069 5x+35.386, y=28.849x+23.735, y=-19.023x+31.005, y=12.447x+24.586, and R² was greater than 0.6. Comprehensive analysis of fertilization, spectral parameters, yield and chlorophyll changes showed that the yield of rape increased when the linear equation R²≥0.6, which was stimulated by the spectral parameters 550 and 720 nm and the yield correlation coefficient, was applied. The results show that the spectral parameters of bolting stage can be used to predict the yield and then screen out the micronutrient fertilizer that can improve the yield of rape, which will increase the sample size to further detect the correlation and carry out subsequent verification. In view of the high efficiency of the process with no chemical reagents and destructive sampling of the samples and low cost, the establishment of the model is of great significance for the rapid screening of the formulation of high oleic acid rape micronutrient fertilizer, which provides a theoretical basis for screening the micronutrient fertilizer and promoting the yield of rape.

Key words：Microelement fertilizer; Rape; Spectral reflectance; Chlorophyll content; Yield

Received: 2019-11-15 Accepted: 2020-03-15

ZTFLH:

S-3

Corresponding Authors: ZHANG Zhen-qian E-mail: zzq770204@163.com

Cite this article:

URL:

https://www.gpxygpfx.com/EN/10.3964/j.issn.1000-0593(2021)02-0552-06 OR https://www.gpxygpfx.com/EN/Y2021/V41/I02/552

[1] Selma Cadot，Gilles Bélanger，Noura Ziadi，et al. Nutrient Cycling in Agroecosystems，2018，112(66): 417.
[2] Brent N kaiser，Kate L Gridley，Joanne Ngaire-brady，et al. Annals of Botany，2005，96(5): 745.
[3] DONG Ru-yin，XU Ying-ming，WANG Lin，et al（董如茵，徐应明，王林，等）. Acta Scientiae Circumstantiae（环境科学学报），2015，35(8)：2589.
[4] Abbasi M Kaleem，Manzoor M. International Journal of Environmental Science and Technology，2013，10(5): 961.
[5] XUE Xin-xin，WU Xiao-ping，WANG Wen-bin，et al（薛欣欣，吴小平，王文斌，等）. Soils（土壤），2019，51(1)：1.
[6] Banerjee Arnab，Datta Jayanta-kumar，Mondal Naba-kumar. Frontiers of Agriculture in China，2010，4(3): 341.
[7] Yukiko Sasaji，Akiko Kozaki，Mik Hatano. Proceedings of the National Academy of Sciences，1997，94(20): 11096.
[8] LIU Lai，ZHANG Wen-jun，WANG Wei-hong，et al（刘来，张文君，王卫红，等）. Chinese Journal of Oil Crop Sciences（中国油料作物学报），2019，41(1)：46.
[9] CHANG Tao，WANG Yue，CHENG Qian，et al（常涛，王悦，程潜，等）. Acta Laser Biology Sinica（激光生物学报），2018，27(6)：34.
[10] XIAO Lang-tao，WANG San-gen(肖浪涛，王三根). Experimental Techniques of Plant Physiology（植物生理学实验技术). Fourth Edition(第4版）. Beijing: China Agricultural Press(北京：中国农业出版社)，2014. 110.
[11] ZHANG Yong-he，GUO Xiao-chuan，CHU Wu-dao，et al（张永贺，郭啸川，褚武道，等）. Infrared and Laser Engineering（红外与激光工程），2013，42(3)：798.
[12] GONG Yan，SHU Ning，WANG Yan，et al（龚龑，舒宁，王琰，等）. Acta Geodaetica et Cartographica Sinica（测绘学报），2013，42(1)：101.
[13] LI Lan-tao，LI Jing，MING Jin，et al（李岚涛，李静，明金，等）. Transactions of the Chinese Society for Agricultural Machinery（农业机械学报），2018，49(2)：156.