By Magnus L. Sorensen, Magnus L. Srensen
Agricultural water administration comprises many subject matters: farm-level and local water administration, irrigation, drainage, and salinity administration of cultivated parts, assortment and garage of rainfall in terms of soil houses and plants; the function of groundwater and floor water in nutrient biking, exploitation and security of water assets, keep an eye on of flooding, erosion, and desertification. This ebook offers modern examine from all over the world.
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Agricultural water administration contains many themes: farm-level and nearby water administration, irrigation, drainage, and salinity administration of cultivated components, assortment and garage of rainfall when it comes to soil houses and plants; the position of groundwater and floor water in nutrient biking, exploitation and defense of water assets, keep an eye on of flooding, erosion, and desertification.
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Additional info for Agricultural Water Management Research Trends
The water stress in SWAP is described by the function proposed by Feddes et al. (1978), which comprises a coefficient that takes values between zero and one. Under conditions wetter than a certain “anaerobiosis point” (h1) water uptake by roots is zero, as well as the coefficient α. Likewise, under conditions drier than “wilting point” (h4), α is also zero. Water uptake by the roots is assumed to be maximal when the soil water pressure-head is between h2 and h3 and hence α-value is one in that case.
APPLYING CLIMATE AND CROP-GROWTH SIMULATION TOOLS TO SUPPORT AGRICULTURAL DECISION-MAKING Despite the manifold papers addressed to estimate climate-change and climate-variability effects on agriculture, appeared in the last years, few cases can be referred where such tools have been effectively used to provide recommendations to farmers and stakeholders. Some of the current actions regarding such applications are outlined below. 1 Previous Experience Probably, the most important contributions to the use of the available simulation tools to support agricultural decision-making are CLIMAG (Climate Prediction and Agriculture) activities.
De Wit. In the 1960s and 1970s the main aim of these modelling activities was to obtain understanding at the crop scale based on the underlying processes. , 1974). , 2003). In the 1980s a wide range of scientists in Wageningen became involved in the development and application of crop models. , 2001). , 2003). , 2003). LINTUL (Light INTerception and UtiLisation) models use the linear relationship between biomass production and the amount of radiation intercepted (captured) by the crop canopy (Monteith, 1981), which has been found for many crop species, grown under well-watered conditions and ample nutrient supply, in the absence of pests, diseases and weeds.
Agricultural Water Management Research Trends by Magnus L. Sorensen, Magnus L. Srensen