Nutrient deficiencies in olives grown on typical Mediterranean soils (Terra rossa, Rendzina, Lithosol)
| Autor: | Mavro Lučić, Filip Pošćić, Slavko Perica, Nevenka Mikac, Željka Fiket, Maja Jukić Špika, Marija Romić, Zed Rengel, Helena Bakić, Marko Runjić, Frane Strikić, Tatjana Klepo, Branimir Urlić, Niko Bačić |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0106 biological sciences
Topsoil biology Chemistry Soil Science 04 agricultural and veterinary sciences Soil carbon biology.organism_classification olive trees Mediterranean area Terra rossa Rendzina Lithosol 01 natural sciences Olive trees Nutrient Agronomy Olea Soil water 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Agronomy and Crop Science 010606 plant biology & botany |
| Popis: | An important part of agriculture in the European Mediterranean area is olive (Olea europaea L.) production. Characterising the relationships between properties of different soils where olive is grown and nutrient status in olive leaves can enhance our understanding of soil-plant interactions. Three different soils (Terra rossa, Rendzina, Lithosol) were characterized for their physical and chemical characteristics ; plant- available nutrients were extracted with ammonium nitrate. Soils, soil extracts and leaf digests were analysed for nutrients and for nitrogen in soils and leaf. A redundancy analysis (RDA) was applied to elucidate relationships between soil properties and leaf nutrients. As revealed by RDA, leaf concentrations of Mg, K, Ca and micronutrients were explained by available Mg, total carbonates and soil organic carbon in topsoil. Leaf concentration of Na was associated with total Na in topsoil. Copper and Mo deficiencies were detected in plants grown in Lithosol, and Mg, P, Mn and Zn deficiencies were noted in all plants. Through appropriate agronomic techniques, Lithosols can be used for olive groves, but they have significant limitation regarding nutrient availability. Our results support the relevance of using soil nutrient variability to provide a basis for optimisation of measures for olive groves. |
| Databáze: | OpenAIRE |
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