光谱学与光谱分析 |
|
|
|
|
|
Nitrogen Status Diagnosis and Yield Prediction of Spring Maize after Green Manure Incorporation by Using a Digital Camera |
BAI Jin-shun1, CAO Wei-dong1,3*,XIONG Jing2, ZENG Nao-hua1, Shimizu Katshyoshi4, RUI Yu-kui5 |
1. Key Laboratory of Plant Nutrition and Fertilizer, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China 2. College of Resources and Environmental Sciences, Hunan Agricultural University, Changsha 410128, China 3. Qinghai Academy of Agricultural and Forestry, Qinghai University, Xining 810016, China 4. Faculty of Life and Environmental Science, University of Tsukuba, Tsukuba, Ibaraki-ken, 305-8572, Japan 5. College of Resources and Environmental Sciences, China Agricultural University, Beijing 100094, China |
|
|
Abstract In order to explore the feasibility of using the image processing technology to diagnose the nitrogen status and to predict the maize yield, a field experiment with different nitrogen rates with green manure incorporation was conducted. Maize canopy digital images over a range of growth stages were captured by digital camera. Maize nitrogen status and the relationships between image color indices derived by digital camera for maize at different growth stages and maize nitrogen status indicators were analyzed. These digital camera sourced image color indices at different growth stages for maize were also regressed with maize grain yield at maturity. The results showed that the plant nitrogen status for maize was improved by green manure application. The leaf chlorophyll content (SPAD value), aboveground biomass and nitrogen uptake for green manure treatments at different maize growth stages were all higher than that for chemical fertilization treatments. The correlations between spectral indices with plant nitrogen indicators for maize affected by green manure application were weaker than that affected by chemical fertilization. And the correlation coefficients for green manure application were ranged with the maize growth stages changes. The best spectral indices for diagnosis of plant nitrogen status after green manure incorporation were normalized blue value (B/(R+G+B)) at 12-leaf (V12) stage and normalized red value (R/(R+G+B)) at grain-filling (R4) stage individually. The coefficients of determination based on linear regression were 0.45 and 0.46 for B/(R+G+B) at V12 stage and R/(R+G+B) at R4 stage respectively, acting as a predictor of maize yield response to nitrogen affected by green manure incorporation. Our findings suggested that digital image technique could be a potential tool for in-season prediction of the nitrogen status and grain yield for maize after green manure incorporation when the suitable growth stages and spectral indices for diagnosis were selected.
|
Received: 2013-05-21
Accepted: 2013-08-11
|
|
Corresponding Authors:
CAO Wei-dong
E-mail: caoweidong@caas.cn
|
|
[1] CAO Wei-dong, HUANG Hong-xiang(曹卫东, 黄鸿翔). China Soils Fertility(中国土壤与肥料), 2009, 4: 1. [2] GAO Ju-sheng, CAO Wei-dong, LI Dong-chu, et al(高菊生, 曹卫东, 李冬初, 等). Acta Ecologica Sinica(生态学报),2011, 31(16): 4542. [3] YANG Zeng-ping, XU Ming-gang, NIE Jun, et al(杨曾平, 徐明岗, 聂 军, 等). Acta of Water and Soil Conservation(水土保持学报), 2011, 25(3): 92 102. [4] JIA Liang-liang, SHOU Li-na,LI Fei, et al(贾良良,寿丽娜,李 斐,等). Chinese Agricultural Science Bulletin(中国农学通报),2007, 23(12):396. [5] Vyn T J, Faber J G, Janovicek K J, et al. Agronomy Journal, 2000, 92: 915. [6] Jia Liangliang, Chen Xinping, Zhang Fusuo, et al. Communications in Soil Science and Plant Analysis, 2007, 38(11-12): 1385. [7] LIU Hong-jian, ZENG Ai-ping, ZHEN Li-min(刘洪见,曾爱平,郑丽敏). Agriculture Network Information(农业网络信息), 2007, 12: 31. [8] WANG Juan, LEI Yong-wen, ZHANG Yong-shuai, et al(王 娟,雷咏雯,张永帅,等). Chinese Journal of Eco-Agriculture(中国生态农业学报),2008, 16(1): 145. [9] LIU Ying, LI Zhi-hong(刘 颖,李志洪). Journal of Maize Sciences(玉米科学),2010, 18(4): 147. [10] ZHANG Li-zhou, WANG Dian-wu, ZHANG Yu-ming, et al(张立周,王殿武,张玉铭,等). Chinese Journal of Eco-Agriculture(中国生态农业学报),2010, 18(6): 1340. [11] YANG Lu, CAO Wei-dong, BAI Jin-shun, et al(杨 璐,曹卫东,白金顺,等). Plant Nutrition and Fertilizer Science(植物营养与肥料学报),2013, 19(4): 799. [12] Gardner J B,Drinkwater L E. Ecological Applications,2009, 19: 2167. [13] GONG Yuan-yong, QU Xiao-qing, SONG Qi-chao, et al(巩元勇,瞿小青,宋奇超,等). Journal of Agricultural Science and Techology(中国农业科技导报),2011, 13(1): 34. [14] Loecke T D, Robertson G P. Plant and Soil,2009, 325: 231. |
[1] |
WANG Hong-jian1, YU Hai-ye1, GAO Shan-yun1, LI Jin-quan1, LIU Guo-hong1, YU Yue1, LI Xiao-kai1, ZHANG Lei1, ZHANG Xin1, LU Ri-feng2, SUI Yuan-yuan1*. A Model for Predicting Early Spot Disease of Maize Based on Fluorescence Spectral Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3710-3718. |
[2] |
LI Yang1, LI Xiao-qi1, YANG Jia-ying1, SUN Li-juan2, CHEN Yuan-yuan1, YU Le1, WU Jing-zhu1*. Visualisation of Starch Distribution in Corn Seeds Based on Terahertz Time-Domain Spectral Reflection Imaging Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2722-2728. |
[3] |
ZHANG Fu1, 2, WANG Xin-yue1, CUI Xia-hua1, YU Huang1, CAO Wei-hua1, ZHANG Ya-kun1, XIONG Ying3, FU San-ling4*. Identification of Maize Varieties by Hyperspectral Combined With Extreme Learning Machine[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2928-2934. |
[4] |
YANG Dong-feng1, HU Jun2*. Accurate Identification of Maize Varieties Based on Feature Fusion of Near Infrared Spectrum and Image[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2588-2595. |
[5] |
LIU Zhao1, 2, LI Hua-peng1, CHEN Hui1, 2, ZHANG Shu-qing1*. Maize Yield Forecasting and Associated Optimum Lead Time Research Based on Temporal Remote Sensing Data and Different Model[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2627-2637. |
[6] |
ZHANG Chao1*, SU Xiao-yu1, XIA Tian2, YANG Ke-ming3, FENG Fei-sheng4. Monitoring the Degree of Pollution in Different Varieties of Maize Under Copper and Lead Stress[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1268-1274. |
[7] |
ZHANG Yan1, 2, WANG Hui-le1, LIU Zhong2, ZHAO Hui-fang1, YU Ying-ying1, LI Jing1, TONG Xin1. Spectral Analysis of Liquefaction Residue From Corn Stalk Polyhydric
Alcohols Liquefaction at Ambient Pressure[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 911-916. |
[8] |
YANG Dong-feng1, LI Ai-chuan1, LIU Jin-ming1, CHEN Zheng-guang1, SHI Chuang1, HU Jun2*. Optimization of Seed Vigor Near-Infrared Detection by Coupling Mean Impact Value With Successive Projection Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3135-3142. |
[9] |
WU Bing, YANG Ke-ming*, GAO Wei, LI Yan-ru, HAN Qian-qian, ZHANG Jian-hong. EC-PB Rules for Spectral Discrimination of Copper and Lead Pollution Elements in Corn Leaves[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3256-3262. |
[10] |
ZHANG Yan1, WANG Hui-le1, ZHAO Hui-fang1, LI Jing1, TONG Xin1, LIU Zhong2. Optimization of Corn Stalk Liquefaction Conditions Under Atmospheric Pressure and Analysis of Biofuel[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(08): 2551-2556. |
[11] |
FENG Rui-jie1, CHEN Zheng-guang1, 2*, YI Shu-juan3. Identification of Corn Varieties Based on Bayesian Optimization SVM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1698-1703. |
[12] |
MENG Fan-jia1, LUO Shi1, WU Yue-feng1, SUN Hong1, LIU Fei2, LI Min-zan1*, HUANG Wei3, LI Mu3. Characteristic Extraction Method and Discriminant Model of Ear Rot of Maize Seed Base on NIR Spectra[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1716-1720. |
[13] |
ZHANG Tian-liang, ZHANG Dong-xing, CUI Tao, YANG Li*, XIE Chun-ji, DU Zhao-hui, ZHONG Xiang-jun. Identification of Early Lodging Resistance of Maize by Hyperspectral Imaging Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1229-1234. |
[14] |
TANG Yu-zhe, HONG Mei, HAO Jia-yong, WANG Xu, ZHANG He-jing, ZHANG Wei-jian, LI Fei*. Estimation of Chlorophyll Content in Maize Leaves Based on Optimized Area Spectral Index[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(03): 924-932. |
[15] |
CHEN Mei-chen, YU Hai-ye, LI Xiao-kai, WANG Hong-jian, LIU Shuang, KONG Li-juan, ZHANG Lei, DANG Jing-min, SUI Yuan-yuan*. Response Analysis of Hyperspectral Characteristics of Maize Seedling Leaves Under Different Light and Temperature Environment[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(11): 3545-3551. |
|
|
|
|