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United States Department of Agriculture (USDA) 2001

MANAGING CROP PRODUCTION IN SEMI-ARID CLIMATES WITH VARIABLE WATER SOURCES AND AMOUNTS

Crop Water Sources Semi-Arid

United States Department of Agriculture (USDA) Research, Education & Economics Information System (REEIS)

Titre : MANAGING CROP PRODUCTION IN SEMI-ARID CLIMATES WITH VARIABLE WATER SOURCES AND AMOUNTS

Identification : 6208-13000-005-00D

Pays : Etats Unis

Durée : Dec 22, 2001 à Dec 21, 2006

Domaine : Conservation and Efficient Use of Water ;

Partenaire : AGRICULTURAL RESEARCH SERVICE LUBBOCK,TX

Objectif
Measure energy partitioning and water transport to define plant archetypes and management strategies. Develop procedures to use climate condition and weather variability prediction for management in agriculture. Develop improved irrigation and dryland management strategies and determine processes within plants that increase water use efficiency. Use remote sensing and precision agriculture technologies to reduce drought effects on crop production. Develop and integrate into crop management, new technologies or concepts that will allow agriculture to remain productive and profitable while reducing its dependence upon the irrigation water from the Ogallala Aquifer.

Descriptif
Estimate soil evaporation, plant transpiration, and energy balance components of dryland cropping patterns using simulation analysis. Energy partitioning, soil water extraction, and water uptake patterns will be measured. Determine predictability of drought patterns in climate records. Appraise benefits of seasonal climate forecasts to crop management using value of information analysis. Vary irrigation rate according to a crop’s growth stage sensitivity to yield and evaluate crop yield response to limited drip irrigation. Quantify the contribution of plant processes to yield performance of existing and genetically modified drought-resistant crops. Test chemical techniques for increasing soil aggregate stability and surface coatings for reducing plant temperature. Quantify crop water status using canopy temperature and spectral reflectance, and determine the influence of canopy architecture on canopy temperature variability. Research findings will be evaluated and integrated into crop management systems.

Présentation : USDA

Page publiée le 30 novembre 2015, mise à jour le 29 octobre 2017