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Soil Fertility Management on Smart Production System Resilient to Climate Change

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Advanced Intelligent Systems for Sustainable Development (AI2SD’2020) (AI2SD 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1417))

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Abstract

Agroforestry is an example of a triple-win practice as it can support food security, mitigate climate change and contribute to adaptation to these changes. As such, agroforestry is considered a climate-smart practice. This Study was conducted to analyze the effect of distance from the olive row on soil fertility parameters in intercropping system at two different soil types (Fersiallitic and vertisols) in Saiss region of Morocco. To carry out this work the studies were done in two rainfed olive orchards. The plant material used in this study is local species of legumes (fababean, chickpea and lentil) cultivated in intercropping systems based on olive trees. The experimental design adopted was a randomized complete block. The factor studied is the distance from the olive rows. After harvesting annual crops, soil samples were taken from the 0–30 cm layer at different distances from tree row. These samples were subjected to chemical analyzes to determine their fertility levels. Our results demonstrate that the distance from the olive row had different effects on soil parameters measured in each plot of the intercropping to the olive tree for the two soils type studied. For chickpea-olive intercropping systems, the soil nitrate content is the only parameter that was affected by the distance from the olive row in Fersiallitic soil. In the fababean-olive intercropping systems, the distance from the olive row affected the soil organic matter content in Fersiallitic soil. For lentil-olive intercropping systems, soil fertility parameters did not differ significantly by the distance from the olive row. In Vertisols, the distance from the olive row had no effect on any soil parameter measured for each plot of intercropping to the olive tree.

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Acknowledgements

The authors are grateful to the farmers for their contributions, for their collaboration by installing intercropping systems in their olive farms also for allowing us to take samples in their fields.

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Authors and Affiliations

  1. Research Team: Materials, Environment and Sustainable Development (MEDD), Faculty of Sciences and Techniques of Tangier, BP 416, Tangier, Morocco

    Inass Zayani, Mohammed Ammari & Laïla Ben Allal

  2. Laboratory of Soil, Plant and Water, The National Institute of Agronomic Research of Meknes, Rabat, Morocco

    Karima Bouhafa

Authors
  1. Inass Zayani
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  2. Karima Bouhafa
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  3. Mohammed Ammari
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  4. Laïla Ben Allal
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Correspondence to Inass Zayani .

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Editors and Affiliations

  1. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  2. Aurel Vlaicu University of Arad, Arad, Romania

    Valentina E. Balas

  3. Sciences and Techniques of Tangier, Abdelmalek Essaâdi University, Tangier, Morocco

    Mostafa Ezziyyani

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Zayani, I., Bouhafa, K., Ammari, M., Ben Allal, L. (2022). Soil Fertility Management on Smart Production System Resilient to Climate Change. In: Kacprzyk, J., Balas, V.E., Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2020). AI2SD 2020. Advances in Intelligent Systems and Computing, vol 1417. Springer, Cham. https://doi.org/10.1007/978-3-030-90633-7_16

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