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.
Key words：Digital image;Green manure;Maize;Nitrogen status diagnosis
白金顺1，曹卫东1，3*，熊 静2，曾闹华1，志水胜好4，芮玉奎5 . 应用数码相机进行绿肥翻压后春玉米氮素营养诊断和产量预测 [J]. 光谱学与光谱分析, 2013, 33(12): 3334-3338.
BAI Jin-shun1, CAO Wei-dong1，3*，XIONG Jing2, ZENG Nao-hua1, Shimizu Katshyoshi4, RUI Yu-kui5 . Nitrogen Status Diagnosis and Yield Prediction of Spring Maize after Green Manure Incorporation by Using a Digital Camera . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(12): 3334-3338.
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