1,720,991 research outputs found
Effects of Soil Type and Nitrogen Fertilization Rate on the Nutritional Value of Organically and Conventionally Grown Endive
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Applicazione del modello “CropSyst” alla patata (Solanum Tuberosum L.) sottoposta a due differenti lavorazioni nella Piana del Sele
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Irrigation management of ornamental shrubs under limited water resources
No full textAgricultural water consumption accounts for 70% of the total available freshwater. Because the competition for this limited resource is increasing dramatically, optimising agricultural Water Use Efficiency (WUE) is a necessity. Achieving this target requires a shift from maximizing productivity per unit of land area to maximizing productivity per unit of water consumed. In commercial ornamental nursery production, irrigation is crucial to achieve the crop return, both in term of yield quantity and quality. Therefore, irrigation is often performed inefficiently since nurseries tend to over-irrigate plants. The difficulty in estimating the water requirements of ornamentals, the irrigation systems utilized, the large number of plant species/cultivars, and the production conditions (high-intensive cultivation methods, pot plants) are other variables that contribute to such inefficiency. Maximizing WUE, can be achieved by reducing water losses and promoting crop growth. New precision irrigation technologies and up-to-dated irrigation systems would enable growers to apply water and agrochemicals more efficiently. This paper focuses on the issue of irrigation water scheduling of ornamental shrubs under limited water resources. Specifically, we will review the means to enhance WUE in some Mediterranean ornamental shrubs production by applying deficit irrigation using plant ‘stress’ sensing measurements for irrigation scheduling
Fertigation Strategies for Improving Water Use Efficiency and Limiting Nutrient Loss in Soilless Hippeastrum Production
No full textGoing Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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