WINTER-WHEAT YIELD AND GRAIN PROTEIN ACROSS VARIED LANDSCAPE POSITIONS

Citation
Te. Fiez et al., WINTER-WHEAT YIELD AND GRAIN PROTEIN ACROSS VARIED LANDSCAPE POSITIONS, Agronomy journal, 86(6), 1994, pp. 1026-1032
Citations number
31
Categorie Soggetti
Agriculture
Journal title
ISSN journal
00021962
Volume
86
Issue
6
Year of publication
1994
Pages
1026 - 1032
Database
ISI
SICI code
0002-1962(1994)86:6<1026:WYAGPA>2.0.ZU;2-5
Abstract
Winter wheat (Trilicum aestivum L.) yield varies greatly among landsca pe positions in the Palouse region of eastern Washington, yet N fertil izer is typically applied uniformly. Varying N fertilizer rates within fields to match site-specific N requirements can increase fertilizer use effciency; however, spatially variable N management programs are l imited by their ability to predict site-specific yield potentials and the resultant N requirements. The objective of this study was to ascer tain the role of yield components and soil properties in determining s oft white winter wheat grain yield and protein when N application rate s are varied among landscape positions. Nitrogen fertilizer (0 to 140 kg N ha(-1)) was fall-applied on footslope, south-backslope, shoulder, and north-backslope landscape positions at each of two farms in 1989 and in 1990. Grain yield among landscapes varied by up to 55% in 1990 and by up to 33% in 1991. Landscape position grain yields increased by 199 kg ha(-1)/(cm precipitation + soil water reduction) (r(2) = 0.51) and by 706 kg ha(-1) per 100 spikes m(-2) (r(2) = 0.76). Grain protei n concentration among landscapes increased by 2.7 g kg(-1) per each in crease of 10 kg residual soil NO3-N ha(-1) (r(2) = 0.82). The large di fferences in grain yield among landscape positions may justify spatial ly variable N application. Improved N management should favorably redu ce soft white winter wheat protein concentrations by minimizing high r esidual N levels as well as improve net returns and reduce environment al degradation. The basis for this improved N management may be site-s pecific field estimates calculated from soil water availability and sp ike density