Establishment of The Crop Growth and Nitrogen Nutrition State Model Using Spectral Parameters Canopy Cover

doi:10.3964/j.issn.1000-0593(2016)01-0231-06

	Establishment of The Crop Growth and Nitrogen Nutrition State Model Using Spectral Parameters Canopy Cover
	Tao Zhi-qiang; Bagum, Shamim Ara; Ma Wei; Zhou Bao-yuan; Fu Jin-dong; Cui Ri-xian; Sun Xue-fang; Zhao Ming
刊名	SPECTROSCOPY AND SPECTRAL ANALYSIS
	2016
卷号	36 期号:1 页码:231-236
关键词	Maize Canopy image Canopy cover Leaf area index Dry matter weight Nitrogen
ISSN号	1000-0593
DOI	10.3964/j.issn.1000-0593(2016)01-0231-06
通讯作者	Tao Zhi-qiang
英文摘要	In order to explore a non-destructive monitoring technique, the use of digital photo pixels canopy cover (CC) diagnosis and prediction on maize growth and its nitrogen nutrition status. This study through maize canopy digital photo images on relationship between color index in the photo and the leaf area index (LAI), shoot dry matter weight (DM), leaf nitrogen content percentage (N%). The test conducted in the Chinese Academy of Agricultural Science from 2012 to 2013, based on Maize canopy Visual Image Analysis System developed by Visual Basic Version 6. 0, analyzed the correlation of CC, color indices, LAI, DM, N% on maize varieties (Zhongdan909, ZD 909) under three nitrogen levels treatments, furthermore the indicators significantly correlated were fitted with modeling, The results showed that CC had a highly significant correlation with LAI (r=0. 93, p<0. 01), DM (r=0. 94, p<0. 01), (r=0. 82, p<0. 01). Estimating the model of LAI, DM and N% by CC were all power function, and the equation respectively were y=3. 281 2x(0.763 9), y=283. 658 1x(0.553 6) and y=3. 064 5x(0.932 9); using independent data from modeling for model validation indicated that R-2, RMSE and RE based on 1 : 1 line relationship between measured values and simulated values in the model of CC estimating LAI were 0. 996, 0. 035 and 1. 46%; R-2, RMSE and RE in the model of CC estimating DM were 0. 978, 5.408 g and 2.43%; R-2, RMSE and RE in the model of CC estimating N% were 0. 990, 0. 054 and 2. 62%. In summary, the model can comparatively accurately estimate the LAI, DM and N% by CC under different nitrogen levels at maize grain filling stage, indicating that it is feasible to apply digital camera on real-time undamaged rapid monitoring and prediction for maize growth conditions and its nitrogen nutrition status. This research finding is to be verified in the field experiment, and further analyze the applicability throughout the growing period in other maize varieties and different planting density.
学科主题	Spectroscopy
语种	中文
出版者	OFFICE SPECTROSCOPY & SPECTRAL ANALYSIS
WOS记录号	WOS:000368043800045
内容类型	期刊论文
源URL	[http://111.203.20.206/handle/2HMLN22E/4603]
专题	作物科学研究所_栽培生理学系
作者单位	Chinese Acad Agr Sci, Inst Crop Sci, Key Lab Crop Physiol & Ecol, Minist Agr, Beijing 100081, Peoples R China
推荐引用方式 GB/T 7714	Tao Zhi-qiang,Bagum, Shamim Ara,Ma Wei,et al. Establishment of The Crop Growth and Nitrogen Nutrition State Model Using Spectral Parameters Canopy Cover[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2016,36(1):231-236.
APA	Tao Zhi-qiang.,Bagum, Shamim Ara.,Ma Wei.,Zhou Bao-yuan.,Fu Jin-dong.,...&Zhao Ming.(2016).Establishment of The Crop Growth and Nitrogen Nutrition State Model Using Spectral Parameters Canopy Cover.SPECTROSCOPY AND SPECTRAL ANALYSIS,36(1),231-236.
MLA	Tao Zhi-qiang,et al."Establishment of The Crop Growth and Nitrogen Nutrition State Model Using Spectral Parameters Canopy Cover".SPECTROSCOPY AND SPECTRAL ANALYSIS 36.1(2016):231-236.