Active Crop Canopy Sensor-Based Nitrogen Diagnosis for Potato
YU Jing1, LI Fei2, QIN Yong-lin1, FAN Ming-shou1*
1. College of Agronomy,Inner Mongolia Agricultural University,Huhhot 010019,China 2. College of Ecology and Environmental Science,Inner Mongolia Agricultural University,Huhhot 010019,China
Abstract:In the present study, two potato experiments involving different N rates in 2011 were conducted in Wuchuan County and Linxi County, Inner Mongolia. Normalized difference vegetation index (NDVI) was collected by an active GreenSeeker crop canopy sensor to estimate N status of potato. The results show that the NDVI readings were poorly correlated with N nutrient indicators of potato at vegetative Growth stage due to the influence of soil background. With the advance of growth stages, NDVI values were exponentially related to plant N uptake(R2=0.665) before tuber bulking stage and were linearly related to plant N concentration(R2=0.699) when plant fully covered soil. In conclusion, GreenSeeker active crop sensor is a promising tool to estimate N status for potato plants. The findings from this study may be useful for developing N recommendation method based on active crop canopy sensor.
Key words:Potato;Nitrogen diagnosis;Plant N concentration;Plant N uptake;NDVI
[1] National Bureau of Statistics of China (中国人民共和国国家统计局). China Statistical Yearbook(中国统计年鉴). Beijing: China Statistics Press(北京: 中国统计出版社), 2011. 473. [2] Alva A, Fan M S, Chen Q, et al. Journal of Crop Improvement, 2011, 25: 46. [3] ZHANG Fu-suo, CUI Zhen-ling, WANG Ji-qing, et al(张福锁,崔振岭,王激清,等). Chinese Bulletin of Botany(植物学通报), 2007, 24(6): 687. [4] Goffart J P, Olivier M, Frankinet M. Potato Research, 2008, 51: 355. [5] Olfs H W, Blankenau K, Brantrup F J, et al. Journal of Plant Nutrition and Soil Science, 2005, 168: 414. [6] Li F, Gnyp M L, Jia L, et al. Field Crops Research, 2008, 106: 77. [7] Li F, Miao Y, Zhang F, et al. Soil Science Society of America Journal, 2009, 73, (5): 1566. [8] Li F, Miao Y, Chen X P, et al. Intelligent Automation and Soft Computing, 2010, 16: 221. [9] Erdle K, Mistele B, Schmidhalter U. Field Crops Research, 2011, 124: 74. [10] Phillips S B, Keathey D A, Warren J G. Agronomy Journal, 2004, 96: 591. [11] Ma B L, Subedi K D, Costa C. Agronomy Journal, 2005, 97(2): 462. [12] Shanahana J F, Kitchenb N R,Raun W R. Computers and Electronics in Agriculture, 2008, 61(1): 51. [13] Solaria F, Shanahan J F, Ferguson R B. Agronomy Journal, 2010, 102(4): 1090. [14] Yao Y K, Miao Y X, Huang S Y, et al. Agronomy for Sustainable Development, 2012, 32: 925. [15] Ronald J Gehl,Timothy J. Agronomy Journal, 2011, 103(4): 1012. [16] Bronson K F, Malapati A, Scharf P C, et al. Agronomy Journal, 2011, 103(2): 422. [17] Raun W R, Solie J B, Stone M L, et al. Communications in Soil Science and Plant Analysis, 2005, 36: 19. [18] Freeman K W., Girma K, Arnall D B, et al. Agronomy Journal, 2007, 99: 530. [19] Hong S D, Schepers J S, Francis D D, et al. Communications in Soil Science and Plant Analysis, 2007, 38: 2209.