Remote sensing-derived wheat crop yield-climate models were developed to highlight the impact of temperature variation during thermo-sensitive periods (anthesis and grain-filling; TSP) of wheat crop development. Specific questions addressed are: can the impact of temperature variation occurring during the TSP on wheat crop yield be detected using remote sensing data and what is the impact? Do c...

Remotely sensed data can be used to estimate crop type, amount and condition and such estimates, made at key points in the growing season can be used to predict the eventual crop yield. The launch of the Medium Resolution Imaging Spectrometer (MERIS) on the Envisat satellite offers other approaches to the remote sensing of crop yield and these are explored in this paper. This sensor is now prov...

The purpose of this study was to measure daily and seasonal evapotranspiration and daily crop coefficient of two common varieties of sunflower (Sirna and Euroflor) via drip-tape irrigation system. For this purpose, the sunflower water use was determined by daily monitoring of soil moisture at the depths of 10, 20, 30, 40 and 60 cm, and the crop evapotranspiration (ETC) was measured using volume...

Crop extent and frequency maps are an important input to inform the debate around land value and competitive land uses, in particular between cropping and mining in the case of Queensland, Australia. Such spatial datasets are useful for supporting decisions on natural resource management, planning and policy. For the major broadacre cropping regions of Queensland, Australia, the complete Landsa...

Effect of cover crops intercropped with pineapple (Ananas comosus) on Rotylenchulus reniformis population densities and activity of nematode-trapping fungi (NTF) were evaluated in two cycles of cover crop and pineapple. Sunn hemp (Crotalaria juncea), rapeseed (Brassica napus), African marigold (Tagetes erecta), or weeds were intercropped with pineapples. Beds planted with sunn hemp or rapeseed ...

A model that integrates biophysical simulations in an economic model is used to analyze the impact of climate change on crop production. The biophysical model simulates future plantmanagement-climate relationships and the economic model simulates farmers’ adaptation actions to climate change using a nonlinear programming approach. Beyond the development of average yields, special attention is d...

Accurate prediction of crop yields requires knowledge of the crop's develop-ment stage at critical times during the growing season. Various meteorological models have been developed to estimate crop development. However, the crop planting date, or equivalently, the date the crop reaches a particular crop devel-· opment stage generally is needed to ini-· tialize these models. Recently, efforts h...

During three consecutive years (1991-93), a field experiment was conducted in 3n intensively irrigated agricultural sail in SW Spain. The maio objective of tbis study was to determine the water flow and nitrate leaching below tbe root zone~ under an irrigated maize crop and after the growing season (bare soil and rainy periad). The experiment was carried out on a furrow irrigated maize crop usi...

Soil and crop management practices can influence CO2 emission from crop and grasslands and therefore on global warming. We examined the effects of two irrigation systems (irrigated vs. non-irrigated) and six management practices [no-till malt barley (Hordeum vulgaris L.) with 67 or 134 kg N ha (NTBFN), notill malt-barley with 0 kg N ha (NTBON), conventional-till malt barley with 67 or 134 kg N ...