Similar articles

Abstract: The main objective of this work was to compare the applicability of the single leaf (the uppermost leaf L1 and the third uppermost leaf L3) modified simple ratio (mSR₇₀₅ index) and the leaf positional difference in the vegetation index between L1 and L3 (mSR_705L1−mSR_705L3) in detecting nitrogen (N)-overfertilized rice plants. A field experiment consisting of three rice genotypes and five N fertilization levels (0, 75, 180, 285, and 390 kg N/ha) was conducted at Xiaoshan, Hangzhou, Zhejiang Province, China in 2008. The hyperspectral reflectance (350–2500 nm) and the chlorophyll concentration (ChlC) of L1 and L3 were measured at different stages. The mSR_705L1 and mSR_705L3 indices appeared not to be highly sensitive to the N rates, especially when the N rate was high (above 180 kg N/ha). The mean mSR_705L1−mSR_705L3 across the genotypes increased significantly (P<0.05) or considerably from 180 to 285 kg N/ha treatment and from 285 to 390 kg N/ha treatment at all the stages. Also, use of the difference (mSR_705L1−mSR_705L3) greatly reduced the influence of the stages and genotypes in assessing the N status with reflectance data. The results of this study show that the N-overfertilized rice plants can be effectively detected with the leaf positional difference in the mSR₇₀₅ index.

[1]Blackmer, T.M., Schepers, J.S., Varvel, G.E., Walter-Shea, E.A., 1996. Nitrogen deficiency detection using reflected shortwave radiation from irrigated corn canopies. Agronomy Journal, 88(1):1-5.

[2]Boegh, E., Soegaard, H., Broge, N., Hasager, C.B., Jensen, N.O., Schelde, K., Thomsen, A., 2002. Airborne multispectral data for quantifying leaf area index, nitrogen concentration, and photosynthetic efficiency in agriculture. Remote Sensing of Environment, 81(2-3):179-193.

[3]Bohlool, B.B., Ladha, J.K., Garrity, D.P., George, T., 1992. Biological nitrogen fixation for sustainable agriculture: a perspective. Plant and Soil, 141(1-2):1-11.

[4]Fageria, N.K., Baligar, V.C., 2003. Methodology for evaluation of lowland rice genotypes for nitrogen use efficiency. Journal of Plant Nutrition, 26(6):1315-1333.

[5]Hansen, P.M., Schjoerring, J.K., 2003. Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression. Remote Sensing of Environment, 86(4):542-553.

[6]Islam, Z., Bagch, B., Hossain, M., 2007. Adoption of leaf color chart for nitrogen use efficiency in rice: impact assessment of a farmer-participatory experiment in West Bengal, India. Field Crops Research, 103(1):70-75.

[7]Lichtenhaler, H.K., Wellburn, A.R., 1983. Determination of total carotenoids and chlorophylls a and b of leaf extracts in different solvents. Biochemical Society Transactions, 11:591-592.

[8]Moran, J.A., Mitchell, A.K., Goodmanson, G., Stockburger, K.A., 2000. Differentiation among effects of nitrogen fertilization treatments on conifer seedlings by foliar reflectance: a comparison of methods. Tree Physiology, 20(16):1113-1120.

[9]Nguyen, H.T., Lee, B.W., 2006. Assessment of rice leaf growth and nitrogen status by hyperspectral canopy reflectance and partial least square regression. European Journal of Agronomy, 24(4):349-356.

[10]Peng, B., Huang, J.L., Zhong, X.Y., Yang, J.C., Wang, G.H., Zou, Y.B., Zhang, F.S., Zhu, Q.S., Buresh, B., Witt, C., 2002. Research strategy in improving fertilizer-nitrogen use efficiency of irrigated rice in China. Scientia Agricultura Sinica, 35(9):1095-1103.

[11]Shibayama, M., Akiyama, T.A., 1986. A sprectroradiometer for field use: VI. Radiometric estimation for chlorophyll index of rice canopy. Japanese Journal of Crop Science, 55(5):433-438.

[12]Sims, D.A., Gamon, J.A., 2002. Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages. Remote Sensing of Environment, 81(2-3):337-354.

[13]Spaner, D., Todd, A.G., Navabi, A., McKenzie, D.B., Goonewardene, L.A., 2005. Can leaf chlorophyll measures at differing growth stages be used as an indicator of winter wheat and spring barley nitrogen requirements in Eastern Canada? Journal of Agronomy and Crop Science, 191(5):393-399.

[14]Stroppiana, D., Boschetti, M., Brivio, P.A., Bocchi, S., 2009. Plant nitrogen concentration in paddy rice from field canopy hyperspectral radiometry. Field Crops Research, 111(1-2):119-129.

[15]Takebe, M., Yoneyama, T., Inada, K., Murakami, T., 1990. Spectral reflectance ratio of rice canopy for estimating crop N status. Plant and Soil, 122(2):295-297.

[16]Thomas, J.A., Gausman, H.W., 1977. Leaf reflectance vs. leaf chlorophyll and caroteniod concentrations for eight crops. Agronomy Journal, 69(5):799-802.

[17]Wang, S., Zhu, Y., Jiang, H., Cao, W., 2006. Positional differences in nitrogen and sugar concentrations of upper leaves relate to plant N status in rice under different N rates. Field Crops Research, 96(2-3):224-234.

[18]Xue, L., Cao, W., Luo, W., Dai, T., Zhu, Y., 2004. Monitoring leaf nitrogen status in rice with canopy spectral reflectance. Agronomy Journal, 96(1):135-142.

[19]Yi, Q.X., Huang, J.F., Wang, F.M., Wang, X.Z., Liu, Z.Y., 2007. Monitoring rice nitrogen status using hyperspectral reflectance and artificial neural network. Environmental Science & Technology, 41(19):6770-6775.

[20]Zhu, Y., Zhou, D., Yao, X., Tian, Y., Cao, W., 2007. Quantitative relationships of leaf nitrogen status to canopy spectral reflectance in rice. Australian Journal of Agricultural Research, 58(11):1077-1085.