Crop demand-driven site-specific nitrogen applications in rice (Oryza sativa) and wheat (Triticum aestivum): some recent advances
DOI:
https://doi.org/10.59797/ija.v53i3.4853Keywords:
Chlorophyll meter, Crop-demand driven, Fertilizer-use efficiency, Green-seeker, Nitrogen, Leaf-colour chart, Optical sensor, Rice, SPAD meter, WheatAbstract
Management of fertilizer nitrogen in rice (Oryza sativa L.) and wheat (Triticum aestivum L. emend. Fiori & Paol.) in India typically consists of blanket recommendations, developed for large tracts having similar climate and land forms. It cannot help the increase N-use efficiency beyond a limit. Further improvement can be achieved only by planning strategies for fertilizer N management responsive to temporal variations in crop N demand and fieldiito- field variability in soil-N supply. Improvement in the synchrony between crop N demand and the N supply from soil or the applied N fertilizer is likely to be the most promising strategy to improve N-use efficiency. It can be achieved by following real-time N management based on periodic assessment of plant-N status and delayed application of fertilizer N until the N level goes below a critical level. Gadgets like chlorophyll-meter (SPAD-meter) and inexpen- sive leaf colour chart (LCC) have proved quick and reliable tools to decide the time when fertilizer N needs to be applied to the crop. Recently significant progress has been made in the development and on-farm evaluation of LCC-based real-time N management in rice, but there is a need to work out appropriate criteria for using need- based N-management strategy in wheat. Optical sensors offer an opportunity to take into account both plant N sta- tus (or leaf colour) as well as crop biomass for making crop-demand-driven fertilizer-N recommendations. Combi- nation of preventive location-specific split schedule with corrective LCC or SDAD-meter or optical sensor-based N management constitutes another attractive strategy for achieving high N-use efficiency in rice and wheat. The fixed-time or adjustable-dose approach seems very promising for wheat, because unlike in rice, the fertilizer appli- cations need to be synchronized with irrigation events. Appropriate preventive fertilizer-N management scenarios need to be worked out that can be used before using the SPAD meter, LCC or optical sensors to guide corrective fertilizer-N application at a given crop-growth stage.References
Abdulrachman, S., Susanti, Z., Pahim, A., Djatiharti, A., Dobermann, A. and Witt, C. 2004. Site-specific nutrient management in intensive irrigated rice systems of West Java, Indonesia. In: Increasing Productivity of Intensive Rice Sys- tems through Site-Specfic Nutrient Management pp. 171-
Dobermann, A., Witt, C. and Dawe, D. (Eds). Science Publishers Inc., Enfield, N.H., The U.S.A., and International Rice Research Institute, Los Baiios, Philippines.
Adhikari, C., Bronson, K.F., Panaullah, G.M., Regmi, A.P., Saha, P.K., Dobermann, A., Olk, D.C., Hobbs, P.R. and Pasuquin,
E. 1999.On-farm N supply and N nutrition in the ricewheat system of Nepal and Bangladesh. Field Crops Research 64: 273-286.
Aparicio, N., Villegas, D., Araus, J.L., Casadesh, J. and Royo, C. 2002. Relationship between growth traits and spectral veg- etation indices in durum wheat. Crop Science 42: 1547- 1555.
Baez-Gonzalez, A.D., Chen, P., Tiscareiio-Lbpez, M. and Srinivasan, R. 2002. Using satellite and field data with crop growth modeling to monitor and estimate maize yield in Mexico. Crop Science 42: 1943-1949.
Balasubramanian,V., Morales, A.C., Cruz, R.T. and Abdulrachrnan,
S. 1999. On-farm adaptation of knowledge-intensive nitro- gen management technologies for rice systems. Nutrient Cycling in Agroecosystems 53: 93-1 01.
Balasubramanian, V., Morales, A.C., Cruz, R.T., Thiyagarajan, T.M., Nagarajan, R., Babu, M., Abdulrachman, S. and Hai, L.H. 2000. Adaptation of the chlorophyll meter (SPAD) technol- ogy for real-time N management in rice: a review. Interna-tional Rice Research Notes 25(1): 4-8.
Bijay-Singh, Gupta, R.K., Yadvinder-Singh, Gupta, S.K., Singh, J., Bains, J.S. and Vashishta, M. 2006. Need-based nitrogen management using leaf color chart in wet direct-seeded rice in northwestern India. Journal of New Seeds 8: 35-47.
Bijay-Singh, Yadvinder-Singh, Ladha, J.K., Bronson, K.F., Balasubrarnanian, V., Jagdeep-Singh and Khind, C.S. 2002 Chlorophyll meter and leaf color chart-based nitrogen man- agement for rice and wheat in north-western India. Agronomy Journal 94: 82 1-829.
Campbell, J.B. 2002. Introduction to Remote Sensing, Edn. 3. The Guilford Press, New York, U.S.A.
Dobemann, A,, Witt, C. and Dawe, D. (Eds). 2004. Increasing Productivity of Intensive Rice Systems through Site-SpeciJic Nutrient Management. Science Publishers, Enfield, N.H., the U.S.A., and International Rice Research Institute, Los Baiios, Philippines.
Fox, R.H., Roth, G.W., Iversen, K.V. and Piekielek, W.P. 1989. Soil and tissue nitrate tests compared for predicting soil nitrogen availability to corn. Agronomy Journal 81: 971-974.
Francis, D.D. and Piekielek, W.P. 1999. Assessing Crop Nitrogen Needs with Chlorophyll Meters. Site-Specijk Management Guidelines (SSMG) No. 12. Potash and Phosphate Institute, Norcross, G.A., the U.S.A.
Gines, H.C., Redondo, G.O., Estigoy,A.P. andDobermann,A. 2004. Site-specific nutrient management in imgated rice systems of Central Luzon, Philippines. In: Increasing Productivity of Intensive Rice Systems through Site-SpeciJc Nutrient Man- agement, pp. 145-169. Dobermann, A., Witt, C. and Dawe,
D. (Eds). Science Publishers, Inc., Enfield, N.H., U.S.A., and International Rice Research Institute, Los Baiios, Phil- ippines.
Girrna, K., Martin, K.L., Anderson, R.H., Arnall, D.B., Brixey, K.D. and Casillas, M.A. 2006. Mid-season prediction of wheat- grain yield potential using plant, soil, and sensor measure- ments. Journal of Plant Nutrition 29: 873-897.
Hong, S.D., Fox, R.H. and Piekielek, W.P. 1990. Field evaluation of several chemical indexes of soil nitrogen availability. Plant and Soil 123: 83-88.
Hussain, F., Bronson, K.F., Yadvinder-Singh, Bijay-Singh and Peng,
S. 2000. Use of chlorophyll meter sufficiency indices for nitrogen management of irrigated 'rice in Asia. Agronomy Journal 92: 875-879.
IRRI. 1996. Use of Leaf color chart (LCC) for N management in rice. Crop Resource Management Network Technology Brief No. I. International Rice Research Institute, Manila, Philip- pines.
IRRI-CREMNET IRRI-Crop and Resource Management Network. 1998.Progress Report for 1997. International Rice Research Institute, Manila, Philippines.
Justes, E., Meynard, J.M., Mary, B. and PlCnet, D. 1997. Manage-




