/AnMtgsAbsts2009.54426 In-Season Rate Determination From Plant Spectral Reflectance in Soft Red Winter Wheat.

Monday, November 2, 2009: 10:30 AM
Convention Center, Room 319, Third Floor

Wade Thomason, Virginia Polytechnic Inst. & State Univ. (Virginia Tech), Blacksburg, VA, Steve Phillips, Intl. Plant Nutrition Inst., Owens Cross Roads, AL, Paul Davis, New Kent County, Virginia Coop. Ext. Service, Providence Forge, VA, J.G. Warren, Plant and Soil Sciences, Oklahoma State Univ., Stillwater, OK, Marcus Alley, 416 Smyth Hall, Virginia Polytechnic Inst. & State Univ. (Virginia Tech), Blacksburg, VA and Mark Reiter, Eastern Shore Agricultural Research and Extension Center, Virginia Polytechnic Inst. & State Univ. (Virginia Tech), Painter, VA
Abstract:
Plant reflectance is determined by leaf surface properties, internal structure, and the concentration and distribution of biochemical components; therefore, remote analysis of reflected light can be used to assess plant biomass and the physiological status of a plant.  Current recommendations for intensively managed soft red winter wheat (SRWW) in Virginia call for N to be applied at Zadoks growth stage (GS) 25 based on tiller density thresholds and at GS 30 based on tissue nitrogen (N) concentration.  Determining wheat tissue N content requires physical sampling of multiple locations in each field as well as a time lag between sampling and return of laboratory analysis.  A system that can determine N needs at GS 30 as accurately as tissue N content but that can generate values in real time is needed.  The objectives of these studies were to evaluate the GreenSeeker as a tool to estimate GS 30 N needs of SRWW and to validate the performance of variable rate N applications to SRWW using the RT 200 system. Over 16 site years, grain yields were similar for wheat receiving N based on the Virginia wheat algorithm and the standard method of determining wheat N needs based on GS 30 tissue N concentration.  The Virginia algorithm treatment required 7 percent less N to reach these yields.