Relationship Between Response Indices Measured In-Season and at Harvest in Winter Wheat

Abstract Current methods for making nitrogen (N) recommendations in winter wheat (Triticum aestivum L.) do not adjust for in-season temporal variability of plant available non-fertilizer N sources. The purpose of this study was to compare the use of different N response indices determined in-season (RINDVI and RIPLANTHEIGHT) to the N response index measured at harvest (RIHARVEST). In addition, this study evaluated the use of the in-season response indices for determining topdress N rates for winter wheat. Nine experiments were conducted over two years at eight different locations. A randomized complete block design with nine different treatments and four replications was used at each location. Preplant N source was ammonia nitrate (34-0-0). At Feekes 4–6, RINDVI was measured to determine the topdress N rates. Both RINDVI and RIPLANTHEIGHT were able to predict RIHARVEST (r2 = 0.75 and r2 = 0.74, respectively). Because the sensor-based approach for making N recommendations relies on information obtained from in-season sensor readings, RINDVI should be used to estimate a site's potential for response to additional N. Use of the response index will allow producers to move away from reliance on preplant application of N and start managing N based on the likelihood of achieving an economical response to N fertilizer.

[1]  R. W. Whitney,et al.  Use of Spectral Radiance for Correcting In-season Fertilizer Nitrogen Deficiencies in Winter Wheat , 1996 .

[2]  R. W. Whitney,et al.  Optical sensor based field element size and sensing strategy for nitrogen application , 1996 .

[3]  D. Karlen,et al.  Nitrate loss in subsurface drainage as affected by nitrogen fertilizer rate. , 2001, Journal of environmental quality.

[4]  M. Alley,et al.  Presidedress soil nitrogen test for corn in Virginia , 1997 .

[5]  R. W. Whitney,et al.  Microvariability in Soil Test, Plant Nutrient, and Yield Parameters in Bermudagrass , 1998 .

[6]  P. Sellers Canopy reflectance, photosynthesis and transpiration , 1985 .

[7]  John B. Solie,et al.  Identifying an In-Season Response Index and the Potential to Increase Wheat Yield with Nitrogen , 2003 .

[8]  William R. Raun,et al.  Improving Nitrogen Use Efficiency for Cereal Production , 1999 .

[9]  E. C. Large GROWTH STAGES IN CEREALS ILLUSTRATION OF THE FEEKES SCALE , 1954 .

[10]  John B. Solie,et al.  Submeter Spatial Variability of Selected Soil and Bermudagrass Production Variables , 1999 .

[11]  F. Magdoff,et al.  A Soil Test for Nitrogen Availability to Corn , 1984 .

[12]  E. V. Lukina,et al.  NITROGEN FERTILIZATION OPTIMIZATION ALGORITHM BASED ON IN-SEASON ESTIMATES OF YIELD AND PLANT NITROGEN UPTAKE , 2001 .

[13]  Gary E. Varvel,et al.  Use of Remote-Sensing Imagery to Estimate Corn Grain Yield , 2001 .

[14]  R. Colwell Determining the prevalence of certain cereal crop diseases by means of aerial photography , 1956 .

[15]  P. Sellers Canopy reflectance, photosynthesis, and transpiration. II. the role of biophysics in the linearity of their interdependence , 1987 .

[16]  C. Jordan Derivation of leaf-area index from quality of light on the forest floor , 1969 .

[17]  R. W. Whitney,et al.  Sensors for Detection of Nitrogen in Winter Wheat , 1996 .

[18]  B. Ma,et al.  Canopy Light Reflectance and Field Greenness to Assess Nitrogen Fertilization and Yield of Maize , 1996 .

[19]  R P Hooper,et al.  Nitrogen input to the Gulf of Mexico. , 2001, Journal of environmental quality.

[20]  W. Raun,et al.  Nitrogen Response Index as a Guide to Fertilizer Management , 2003 .

[21]  C. Tucker Red and photographic infrared linear combinations for monitoring vegetation , 1979 .