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Assessment of the diversity of crop rotations based on network analysis indicators

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  • Nowak, Benjamin
  • Michaud, Audrey
  • Marliac, Gaëlle

Abstract

More diversified crop rotations are a key factor in reducing weed, disease and pest pressure while reducing the use of phytosanitary products. The increase in available data calls for the development of new methods and indicators to characterize crop rotations.

Suggested Citation

  • Nowak, Benjamin & Michaud, Audrey & Marliac, Gaëlle, 2022. "Assessment of the diversity of crop rotations based on network analysis indicators," Agricultural Systems, Elsevier, vol. 199(C).
    • Handle: RePEc:eee:agisys:v:199:y:2022:i:c:s0308521x22000385
    DOI: 10.1016/j.agsy.2022.103402
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    References listed on IDEAS

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    1. Isaac, Marney E., 2012. "Agricultural information exchange and organizational ties: The effect of network topology on managing agrodiversity," Agricultural Systems, Elsevier, vol. 109(C), pages 9-15.
    2. Detlefsen, Nina K. & Jensen, Allan Leck, 2007. "Modelling optimal crop sequences using network flows," Agricultural Systems, Elsevier, vol. 94(2), pages 566-572, May.
    3. Rizzo, Davide & Therond, Olivier & Lardy, Romain & Murgue, Clément & Leenhardt, Delphine, 2019. "A rapid, spatially explicit approach to describe cropping systems dynamics at the regional scale," Agricultural Systems, Elsevier, vol. 173(C), pages 491-503.
    4. Castellazzi, M.S. & Wood, G.A. & Burgess, P.J. & Morris, J. & Conrad, K.F. & Perry, J.N., 2008. "A systematic representation of crop rotations," Agricultural Systems, Elsevier, vol. 97(1-2), pages 26-33, April.
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    Cited by:

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    2. Baccar, Mariem & Raynal, Hélène & Sekhar, Muddu & Bergez, Jacques-Eric & Willaume, Magali & Casel, Pierre & Giriraj, P. & Murthy, Sanjeeva & Ruiz, Laurent, 2023. "Dynamics of crop category choices reveal strategies and tactics used by smallholder farmers in India to cope with unreliable water availability," Agricultural Systems, Elsevier, vol. 211(C).

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