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Small Grains And Field Peas: 2010 Variety Recommendations (2009 Crop Performance Results), Cooperative Extension Service, South Dakota State University
Small Grains And Field Peas: 2010 Variety Recommendations (2009 Crop Performance Results), Cooperative Extension Service, South Dakota State University
SDSU Extension Circulars
Variety selection is a fundamental element in a sound crop production program. This report contains variety recommendations, descriptions, and yield data for the spring-seeded small grains – hard red spring wheat, oat, and barley, along with the fall-seeded small grain –hard red winter wheat. Key factors in variety selection include yield, yield stability, maturity, straw strength, height, test weight, quality, and disease resistance. Yield is an important factor; however, a variety with good disease resistance, straw strength, and high grain quality may be more profitable in some cases than the highest yielding variety. Disease resistance information is based on reactions …
Conservation Reserve Program In South Dakota: Major Findings From 2007 Survey Of South Dakota Crp Respondents, Larry Janssen, Nicole Klein, Gary Taylor, Emmanuel Opoku
Conservation Reserve Program In South Dakota: Major Findings From 2007 Survey Of South Dakota Crp Respondents, Larry Janssen, Nicole Klein, Gary Taylor, Emmanuel Opoku
Economics Research Reports
Major findings from a 2007 survey of South Dakota CRP contract holders are presented in this SDSU economics report and are summarized in this section. 2 This CRP survey was the main primary data source to complete the major research objectives of: (1) estimating the number of CRP acres that are likely to revert back to crop production, their location, and estimated crop mix on those acres; and 2) determining the main factors that influence post-CRP land use decisions.
Radiative Forcing Over The Conterminous United States Due To Contemporary Land Cover Use Albedo Change, Christopher Barnes, David P. Roy
Radiative Forcing Over The Conterminous United States Due To Contemporary Land Cover Use Albedo Change, Christopher Barnes, David P. Roy
GSCE Faculty Publications
Recently available satellite land cover land use (LCLU) and albedo data are used to study the impact of LCLU change from 1973 to 2000 on surface albedo and radiative forcing for 36 ecoregions covering 43% of the conterminous United States (CONUS). Moderate Resolution Imaging Spectroradiometer (MODIS) snowfree broadband albedo values are derived from Landsat LCLU classification maps located using a stratified random sampling methodology to estimate ecoregion estimates of LCLU induced albedo change and surface radiative forcing. The results illustrate that radiative forcing due to LCLU change may be disguised when spatially and temporally explicit data sets are not used. …
South Dakota Nutrition Network: Delivering Nutrition Education To Benefit Children And Adults In Low Income Settings, South Dakota Cooperative Extension Service
South Dakota Nutrition Network: Delivering Nutrition Education To Benefit Children And Adults In Low Income Settings, South Dakota Cooperative Extension Service
SDSU Extension Circulars
No abstract provided.
What Limits Fire? An Examination Of Driver's Of Burnt Area In Southern Africa, Sally Archibald, David P. Roy, Brian W. Van Wilgen, Robert J. Scholes
What Limits Fire? An Examination Of Driver's Of Burnt Area In Southern Africa, Sally Archibald, David P. Roy, Brian W. Van Wilgen, Robert J. Scholes
GSCE Faculty Publications
The factors controlling the extent of fire in Africa south of the equator were investigated using moderate resolution (500 m) satellite-derived burned area maps and spatial data on the environmental factors thought to affect burnt area. A random forest regression tree procedure was used to determine the relative importance of each factor in explaining the burned area fraction and to address hypotheses concerned with human and climatic influences on the drivers of burnt area. The model explained 68% of the variance in burnt area. Tree cover, rainfall in the previous 2 years, and rainfall seasonality were the most important predictors. …