Comparison of two critical nitrogen equations to estimate nitrogen nutrition index for maize in Pakdasht region

Document Type : Research Paper

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Abstract

Background and objectives: Monitoring nitrogen nutrition index (NNI) during the growing season can lead to improve fertilization management which will cause less damage for environment and water resources. The critical nitrogen concentration in plants can be obtained by critical nitrogen equations. Since determination of these equations is time consuming and costly, the equations which were proposed in other region have being usually used. But the results of the former studies have proved that climate variation, plant varieties and different agricultural managements can cause changes in these equations for new conditions. The main objective of this study was to verify and compare two nitrogen critical equations proposed in France and China, in order to estimate the NNI for maize in the region of Pakdasht.
Materials and methods: Hence, maize (single cross 704) for a season was planted at the farm of Aburaihan College. Treatments set during the growing season based on different nitrogen levels, from low to high, and samples of plant were taken to measure dry matter (W) and the concentration of nitrogen in the plant (% N). They included seven different levels of nitrogen as control (N0), 50(N1), 100(N2), 150 (N3), 200(N4), 250 (N5) And 300 kg of nitrogen per hectare (N6) by urea (containing 46% nitrogen) and were designed by randomized complete blocks in three repetitions. In order to verify these critical nitrogen equations, the method which was proposed by Planet and Limaire (2000) was used. Eventually, for investigating the impact of each equation in estimating NNI, the variation range of calculated NNI and its relation with relative grain yield were obtained and compare with other results.
Result: Generally, the results indicated the nitrogen critical equation which proposed in China was more compatible for Pakdasht region. The nitrogen status of the 14% data was overestimated by Chinese equation while nitrogen status of 21% data was estimated wrongly by the equation proposed for France. The less ranges of calculated NNI based on Chinese equation is other reason that show it’s rather accuracy in Pakdasht. Also by calculating NNI based on both equations, during growing season, it was demonstrated periods when treatments were encountered a lack of nitrogen. Finally it was indicated while calculating NNI based on both equation, during growing season, becomes less than 1.11, relative grain yield will decline.
Conclusions: Generally results indicates that the proposed critical nitrogen equation in China was better tools for diagnosing maize nitrogen status in Pakdasht because of the similarity in climate condition. In addition the NNI based on Chinese equation was more compatible for maize (single cross) in Pakdasht climate. However, both equation had more errors in pakdasht than region for where was developed.

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References

1.Ata-Ul-Karim, ST, Yao, X, Liu, X, Cao, W, and Zhu, Y. 2014. Determination of Critical
Nitrogen Dilution Curve Based on Stem Dry Matter in Rice. PLoS ONE, 9(8): 1-12.
2.Barnabas, B., J¨ager, K., and Feh´er, A. 2008. The effect of droughtvand heat stress on
reproductive processes in ereals. Plant Cell Environ. 31: 11–38.
3.Behdadian, A., Soltani, A., Zeinali, E., Ajam nouroozi, H., and Masoomi, H. 2013. Evaluation
of nitrogen fertilizer management effects on yield in flowering stage of rapeseed in Gorgan
region. Agric. Crop Manag. 15(1): 163-174. (In farsi)
4.Belanger, G., Walsh, J., Richards, J., Milburn, P., and Ziadi, N. 2001. Critical nitrogen curve
and nitrogen nutrition index for potato in eastern Canada. Am. J. Potato Res. 78: 355–364.
5.Cicchino, M., Edreira, J.I.R., Uribelarrea, M., and Otegui, M.E. 2010. Heat stress in fieldgrown
maize: response of physiological physiological determinants of grain yield. Crop Sci.
50: 1438–1448.
6.Colnenne, C., Meynard, J.M., Reau, R., Justes, E., Merrien, A. 1998. Determination of a
critical nitrogen dilution curve for winter oilseed rape. Ann. Bot. 81: 311-317.
7.Greenwood, D.J., Lemaire, G., Gosse, G., Cruz, P., Draycott, A., and Neeteson, J.J. 1990.
Decline in percentage N of C3 and C4 crops with increasing plant mass. Ann. Bot. 66: 425–
436.
8.Herrmann, A., and Taube, F. 2004. The range of the critical nitrogen dilution curve for maize
(Zea mays L.) can be extended until silage maturity. Agr. J. 96: 1131–1138.
9.Horowitz, W. 1970. Official Methods of Analysis. in 11th Edition. Association of official
Analytical Chemists, Washington, D.C.
10.Justes, E., Mary, B., Meynard, J.M., Machet, J.M., and Thelier-HuchéL. 1994. Determination
of a critical nitrogen dilution curve for winter wheat crops. Ann. Bot. 74: 397–407.
11.Lemaire, G., Gastal, F., and Salette, J. 1989. Analysis of the effect of N nutrition on dry
matter yield of a sward by reference to potential yield and optimum N content. In XVI
International Grassland Congress, Nice, France, Pp: 179–180.
12.Lemaire, G., and Gastal, F. 2009. Quantifying crop responses to nitrogen deficiency and
avenues to improve nitrogen use efficiency. In: Sadras, V., and Calderini, D. (eds.), Crop
Physiology: Applications for Genetic Improvement and Agronomy. Academic Press, San
Diego, CA. Pp: 171–211.
13.Li, W., He, P., and Jin, J. 2012. Critical nitrogen curve and nitrogen nutrition index for
spring maize in north east china. J. Plant Nut, 35: 11, 1747-1761.
14.Malakooti, M.J. 1996. Sustainable Agriculture and Increasing Performance with Improving
Fertilizer Use in Iran. Agricultural Education. press, 1st edition, 279p. (In farsi)
15.Meng, E.C.H., Hu, R.F., Shi, X.H., and Zhang, S.H. 2006. Maize in China: Production
Systems, onstraints, and Research Priorities. CIMMYT, Mexico.
16.Plenet, D., and Lemaire, G. 2000. Relationships between dynamics of nitrogen uptake and
dry matter accumulation in maize crops. Plant Soil, 216: 65–82.
17.Ramos, T.B., Šimu˚ nek, J., Goncalves, M.C., Martins, J.C., Prazeres, A., Pereira, L.S.,
2012. Two-dimensional modeling of water and nitrogen fate from sweet sorghum irrigated
with fresh and blended saline waters. Agric. Water Manag. 111: 87–104.
18.Rangzan, R., Ziyaieyan firoozabadi, P., Mirzaie, L., Alijani, F. 2008. State-wide of
vulnerability in Varamin aquifer using DRASTIC and Empirical assessment of the
unsaturated zone influence in GIS. Iran. J. Geo. 2(6): 21-32. (In farsi)
19.Yin, F., Fu, B., and Mao, R. 2007. Effect of nitrogen fertilizer application rates on nitrate
nitrogen distribution in salin soil in the Hai river basin, china. J. Soils Sediments, 7(3): 136-
142.
20.Yue, S.C., Sun, F.L., Meng, Q.F., Zhao, R.F., Li, F., Chen, X.P., Zhang, F.S., and Cui, Z.L.
2014. Validation of a critical nitrogen curve for summer maize in the North China Plain.
Pedosphere. 24(1): 76–83.
21.Zeinali, E., Soltani, A., Galeshi, S., and Movahedi Naeeni, S.A. 2012. Evaluating Nitrogen
Nutrition Index of Wheat (Triticum aestivum L.) Fields in Gorgan. J. Plant Prod. 19(4): 137-
156. (In farsi)
22.Ziadi, N., Brassard, M., B´elanger, G., Cambouris, A.N., Tremblay, N., Nolin, M.C.,
Claessens, A., and Parentc, L.-´E. 2008. Critical nitrogen curve and nitrogen nutrition index
for corn in eastern Canada. Agron. J. 100: 271–276.
23.Ziadi, N., B´elanger, G., Claessens, A., Lefebvre, L., Cambouris, A.N., Tremblay, N., Nolin,
M.C., and Parent, L.-´E. 2010. Determination of a critical nitrogen dilution curve for spring
wheat. Agr. J. 102: 41–250.
Journal of Crop Production
Volume 10, Issue 2
November 2017
Pages 87-100

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