Active optical sensing of spring maize for in-season diagnosis of nitrogen status based on nitrogen nutrition index

Remote Sensing

Volumn 8, Issue 7, 2016, Pages

  Xia, Tingting ^a   Miao, Yuxin ^a   Wu, Dali ^a   Shao, Hui ^a   Khosla, Rajiv ^b   Mi, Guohua ^a  

^a CHINA AGRICULTURAL UNIVERSITY   (China)

^b Department of Ecosystem Science and Sustainability   (United States)

Author keywords

Active optical sensor; Nitrogen status diagnosis; Nitrogen status indicator; Precision nitrogen management; Response index

Indexed keywords

NUTRITION; OPTICAL SENSORS; VEGETATION;

ACTIVE OPTICAL SENSORS; EXPERIMENTAL CONDITIONS; NITROGEN MANAGEMENT; NITROGEN STATUS; NORMALIZED DIFFERENCE VEGETATION INDEX; RATIO VEGETATION INDICES; RECOMMENDATION ALGORITHMS; RESPONSE INDICES;

NITROGEN;

EID: 85019377386     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs8070605     Document Type: Article

References (54)

1. FAOSTAT Agriculture Database. Available online: http://faostat.fao.org/site/339/default.aspx (accessed on 22 March 2016).
2. Guo, J.H., Liu, X.J., Zhang, Y., Shen, J.L., Han,W.X., Zhang,W.F., Christie, P., Goulding, K.W.T., Vitousek, P.M., Zhang, F.S. Significant acidification in major Chinese croplands. Science 2010, 327, 1008-1010.
3. Le, C., Zha, Y., Li, Y., Sun, D., Lu, H., Yin, B. Eutrophication of lake waters in China: Cost, causes, and control. J. Environ. Manag. 2010, 45, 662-668.
4. Miao, Y., Stewart, B.A., Zhang, F. Long-term experiments for sustainable nutrient management in China. A review. Agron. Sustain. Dev. 2011, 31, 397-414.
5. Cao, Q., Miao, Y., Feng, G., Gao, X., Li, F., Liu, B., Yue, S., Cheng, S., Ustin, S., Khosla, R. Active canopy sensing of winter wheat nitrogen status: An evaluation of two sensor systems. Comput. Electron. Agric. 2015, 112, 54-67.
6. Miao, Y., Mulla, D.J., Randall, G.W., Vetsch, J.A., Vintila, R. Combining chlorophyll meter readings and high spatial resolution remote sensing images for in-season site-specific nitrogen management of corn. Precis. Agric. 2009, 10, 45-62.
7. Lemaire, G., Jeuffroy, M.H., Gastal, F. Diagnosis tool for plant and crop N status in vegetative stage: Theory and practices for crop N management. Eur. J. Agron. 2008, 28, 614-624.
8. Plénet, D., Lemaire, G. Relationships between dynamics of nitrogen uptake and dry matter accumulation in maize crops. Determination of critical N concentration. Plant Soil 1999, 216, 65-82.
9. Cilia, C., Panigada, C., Rossini, M., Meroni, M., Busetto, L., Amaducci, S., Boschetti, M., Picchi, V., Colombo, R. Nitrogen status assessment for variable rate fertilization in maize through hyperspectral imagery. Remote Sens. 2014, 6, 6549-6565.
10. Huang, S., Miao, Y., Zhao, G., Yuan, F., Ma, X., Tan, C., Yu, W., Gnyp, M.L., Lenz-Wiedemann, V.I.S., Rascher, U., et al. Satellite remote sensing-based in-season diagnosis of rice nitrogen status in Northeast China. Remote Sens. 2015, 7, 10646-10667.
11. Cao, Q., Cui, Z., Chen, X., Khosla, R., Dao, T.H., Miao, Y. Quantifying spatial variability of indigeneous nitrogen supply for precision nitrogen management in small scale farming. Precis. Agric. 2012, 13, 45-61.
12. Zhao, B., Liu, Z., Ata-Ul-Karim, S.T., Xiao, J., Liu, Z., Qi, A., Ning, D., Nan, J., Duan, A. Rapid and nondestructive estimation of the nitrogen nutrition index in winter barley using chlorophyll measurements. Field Crops Res. 2016, 185, 59-68.
13. Ziadi, N., Brassard, M., Bélanger, G., Claessens, A., Tremblay, N., Cambouris, A.N., Nolin, M.C., Parent, L.-é. Chlorophyll measurements and nitrogen nutrition index for the evaluation of corn nitrogen status. Agron. J. 2008, 100, 1264-1273.
14. Chen, P., Wang, J., Huang, W., Tremblay, N., Ouyang, Z., Zhang, Q. Critical nitrogen curve and remote detection of nitrogen nutrition index for corn in the Northwestern Plain of Shandong Province, China. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2013, 6, 682-689.
15. Mistele, B., Schmidhalter, U. Estimating the nitrogen nutrition index using spectral canopy reflectance measurements. Eur. J. Agron. 2008, 29, 184-190.
16. Chen, P. A comparison of two approaches for estimating the wheat nitrogen nutrition index using remote sensing. Remote Sens. 2015, 7, 4527-4548.
17. Holland, K.H., Lamb, D.W., Schepers, J.S. Radiometry of proximal active optical sensors (AOS) for agricultural sensing. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2012, 5, 1793-1802.
18. Yao, Y., Miao, Y., Huang, S., Gao, L., Zhao, G., Jiang, R., Chen, X., Zhang, F., Yu, K., Gnyp, M.L., et al. Active canopy sensor-based precision N management strategy for rice. Agron. Sustain. Dev. 2012, 32, 925-933.
19. Yao, Y., Miao, Y., Cao, Q.,Wang, H., Gnyp, M.L., Bareth, G., Khosla, R., Yang,W., Liu, F., Liu, C. In-season estimation of rice nitrogen status with an active crop canopy sensor. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2014, 7, 4403-4413.
20. Martin, K.L., Girma, K., Freeman, K.W., Teal, R.K., Tubańa, B., Arnall, D.B., Chung, B., Walsh, O., Solie, J.B., Stone, M.L., et al. Expression of variability in corn as influenced by growth stage using optical sensor measurements. Agron. J. 2007, 99, 384-389.
21. Ritchie, S.W., Hanway, J.J., Benson, G.O. How a Corn Plant Develops; Special Report No. 48 (Revised); Iowa State University of Science and Technology, Cooperative Extension Service: Ames, IA, USA, 1997.
22. Thomason, W.E., Phillips, S.B., Raymond, F.D. Defining useful limits for spectral reflectance measures in corn. J. Plant Nutr. 2007, 30, 1263-1277.
23. Yang, X., Lin, E., Ma, S.M., Ju, H., Guo, L., Xiong, W., Li, Y., Xu, Y. Adaptation of agriculture to warming in Northeast China. Clim. Chang. 2007, 84, 45-58.
24. Li, W., He, P., Jin, J. Critical nitrogen curve and nitrogen nutrition index for spring maize in North-East China. J. Plant Nutr. 2012, 35, 1747-1761.
25. Soil Survey Staff. Keys to Soil Taxonomy; United States Department of Agriculture, Natural Resources Conservation Services: Washington, DC, USA, 1998; p. 328.
26. Raper, T.B., Varco, J.J., Hubbard, K.J. Canopy-based normalized difference vegetation index sensors for monitoring cotton nitrogen status. Agron. J. 2013, 105, 1345-1354.
27. Montgomery, E.G. Correlation studies in corn. Neb. Agric. Exp. Stn. Annu. Rep. 1911, 24, 108-109.
28. Nelson, D.W., Sommers, L.E. Determination of total nitrogen in plant material. Agron. J. 1973, 65, 109-112.
29. Greenwood, D.J., Lemaire, G., Gosse, G., Cruz, P., Draycott, A., Neeteson, J.J. Decline in percentage N of C3 and C4 crops with increasing plant mass. Ann. Bot. 1990, 66, 425-436.
30. Ziadi, N., Bélanger, G., Claessens, A., Lefebvre, L., Cambouris, A.N., Tremblay, N., Nolin, M.C., Parent, L.é. Determination of a critical nitrogen dilution curve for spring wheat. Agron. J. 2010, 102, 241-250.
31. Campbell, J.B. Introduction to Remote Sensing, 3rd ed., The Guilford Press: New York, NY, USA, 2002.
32. Li, F., Miao, Y., Chen, X., Zhang, H., Jia, L., Bareth, G. Estimating winter wheat biomass and nitrogen status using an active crop sensor. Intell. Autom. Soft Comput. 2010, 16, 1221-1230.
33. Hornung, A., Khosla, R., Reich, R., Inman, D.,Westfall, D. Comparison of site-specific management zones: Soil color based and yield based. Agron. J. 2006, 98, 405-417.
34. Landis, J.R., Koch, G.G. The measurement of observer agreement for categorical data. Biometrics 1977, 33, 159-174.
35. Erdle, K., Mistele, B., Schmidhalter, U. Comparison of active and passive spectral sensors in discriminating biomass parameters and nitrogen status in wheat cultivars. Field Crops Res. 2011, 124, 74-84.
36. Gnyp, M.L., Miao, Y., Yuan, F., Ustin, S.L., Yu, K., Yao, Y., Huang, S., Bareth, G. Hyperspectral canopy sensing of paddy rice aboveground biomass at different growth stages. Field Crops Res. 2014, 155, 42-55.
37. Van Niel, T.G., McVicar, T.R. Current and potential uses of optical remote sensing in rice-based irrigation systems: A review. Aust. J. Agric. Res. 2004, 55, 155-185.
38. Nguy-Robertson, A., Gitelson, A., Peng, Y., Viñab, A., Arkebauerc, T., Rundquista, D. Green leaf area index estimation in maize and soybean: Combining vegetation indices to achieve maximal sensitivity. Agron. J. 2012, 104, 1336-1347.
39. Li, F., Mistele, B., Hu, Y., Yue, X., Yue, S., Miao, Y., Chen, X., Cui, Z., Meng, Q., Schmid-halter, U. Remotely estimating aerial N status of phenologically differing winter wheat cultivars grown in contrasting climatic and geographic zones in China and Germany. Field Crops Res. 2012, 138, 21-32.
40. Winterhalter, L., Mistele, B., Schmidhalter, U. Evaluation of active and passive sensor systems in the field to phenotype maize hybrids with high-throughput. Field Crops Res. 2013, 154, 236-245.
41. Li, F., Miao, Y., Feng, G., Yuan, F., Yue, S., Gao, X., Liu, Y., Liu, B., Ustin, S.L., Chen, X. Improving estimation of summer maize nitrogen status with red edge-based spectral vegetation indices. Field Crops Res. 2014, 157, 111-123.
42. Fitzgerald, G., Rodriguez, D., O'Leary, G. Measuring and predicting canopy nitrogen nutrition in wheat using a spectral index-The canopy chlorophyll content index (CCCI). Field Crops Res. 2010, 116, 318-324.
43. Chen, P., Haboudane, D., Tremblay, N., Wang, J., Vigneault, P., Li, B. New spectral indicator assessing the efficiency of crop nitrogen treatment in corn and wheat. Remote Sens. Environ. 2010, 114, 1987-1997.
44. Freeman, K.W., Girma, K., Arnall, D.B., Mullen, R.W., Martin, K.L., Teal, R.K., Raun,W.R. By-plant prediction of corn forage biomass and nitrogen uptake at various growth stages using remote sensing and plant height. Agron. J. 2007, 99, 530-536.
45. Samborski, S.M., Tremblay, N., Fallon, E. Strategies to make use of plant sensors-based diagnostic information for nitrogen recommendations. Agron. J. 2009, 101, 800-816.
46. Johnson, G.V., Raun,W.R. Nitrogen response index as a guide to fertilizer management. J. Plant Nutr. 2003, 26, 249-262.
47. Mullen, R.W., Freeman, K.W., Raun, W.R., Johnson, G.V., Stone, M.L., Solie, J.B. Identifying an in-season response index and the potential to increase wheat yield with nitrogen. Agron. J. 2003, 95, 347-351.
48. Hodgen, P.J., Raun, W.R., Johnson, G.V., Teal, R.K., Freeman, K.W., Brixey, K.B., Martin, K.L., Solie, J.B., Stone, M.L. Relationship between response indices measured in-season and at harvest in winter wheat. J. Plant Nutr. 2005, 28, 221-235.
49. Bausch, W.C., Brodahl, M.K. Strategies to evaluate goodness of reference strips for in-season, field scale, irrigated corn nitrogen sufficiency. Precis. Agric. 2012, 13, 104-122.
50. Tubana, B.S., Arnall, D.B., Walsh, O., Chung, B., Solie, J.B., Girma, K., Raun, W.R. Adjusting midseason nitrogen rate using a sensor-based optimization algorithm to increase use efficiency in corn. J. Plant Nutr. 2008, 31, 1393-1419.
51. Scharf, P.C., Shannon, D.K., Palm, H.L., Sudduth, K.A., Drummond, S.T., Kitchen, N.R., Mueller, L.J., Hubbard, V.C., Oliveira, L.F. Sensor-based nitrogen applications out-performed producer-chosen rates for corn in on-farm demonstrations. Agron. J. 2011, 103, 1683-1691.
52. Kipp, S., Mistele, B., Schmidhalter, U. The performance of active spectral reflectance sensors as influenced by measuring distance, device temperature and light intensity. Comput. Electron. Agric. 2014, 100, 24-33.
53. Cao, Q., Miao, Y., Shen, J., Yu, W., Yuan, F., Cheng, S., Huang, S., Wang, H., Yang, W., Liu, F. Improving in-season estimation of rice yield potential and responsiveness to topdressing nitrogen application with Crop Circle active crop canopy sensor. Precis. Agric. 2016, 17, 136-154.
54. Chen, Y., Xiao, C., Chen, X., Li, Q., Zhang, J., Chen, F., Yuan, L., Mi, G. Characterization of the plant traits contributed to high grain yield and high grain nitrogen concentration in maize. Field Crops Res. 2014, 159, 1-9.