Of the several mechanisms that can bring about efficient resource use, the most widelyapplicable one is intercropping systems that can make better use of resources. The aim of thisstudy was to evaluate resource capture and resource use efficiency in transgenic cotton-peanutintercropping system and in their respective sole crops with using 25-50% substitution ofrecommended dose of nitrogen (RDN)...

Plant water status is a key factor impacting crop growth and agricultural watermanagement. Cropwater stress may alter canopy temperature, the energy balance, transpiration, photosynthesis, canopy water use efficiency, and crop yield. The objective of this study was to calculate the Crop Water Stress Index (CWSI) from canopy temperature and energy balance measurements and evaluate the utility of...

Predicting impacts of climate change or alternative management on both food production and environment safety in agroecosystems is drawing great attention in the scientific community. Most of the existing agroecosystem models emphasize either crop growth or soil processes. This paper reports the latest development of an agroecosystem model (Crop-DNDC) by integrating detailed crop growth algorit...

Maize growth in arid and semiarid regions is often limited by variation in the amount and frequency of irrigation or rainfall. Sub-optimal supply of nitrogen (N) may further curtail growth and development of the crop. Simultaneous optimization of these two inputs provides optimum conditions for crop growth and productivity. A maize (Zea mays L.) crop was subjected to different periods of de®cit...

Over the past few decades, the competition for freshwater resources has substantially increased in arid/semi-arid areas, exacerbating the pressure on the largest user of water, namely agriculture, to consume less water. However, reducing crop consumptive water use or evapotranspiration through water stress can have a negative impact on production economics if not precisely managed. Remote sensi...

Abstract Estimation of crop water stress index (CWSI) and leaf area (LAI) over large-irrigation schemes requires the use cutting-edge technologies. Combinations remote sensing techniques with ground-truth data have become available for at catchment level. These approaches allow us to estimate actual evapotranspiration capability monitoring status saving irrigation in water-scarce regions. This ...