Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 555489
Title Using the WOFOST crop growth model to assess within-field yield variability
Author(s) Tagarakis, A.C.; Mimić, G.; Vaessen, H.M.; Rodriguez-Moreno, F.; Evert, F.K. Van; Ćirić, V.
Source In: Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019. - Wageningen Academic Publishers (Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019 ) - ISBN 9789086863372 - p. 91 - 97.
Event 12th European Conference on Precision Agriculture, ECPA 2019, Montpellier, 2019-07-08/2019-07-11
Department(s) Mathematical and Statistical Methods - Biometris
Agro Toegepaste Plantenecologie
Publication type Contribution in proceedings
Publication year 2019
Keyword(s) Apparent electrical conductivity - Crop modelling - Soil texture - Water flow accumulation - Yield monitor

Usually crop models are run as point-based at field level. However, various soil properties may cause crop growth and yield to vary significantly at a smaller spatial scale than the field. Thus the objective of this study was to determine whether within-field variation in yield can be simulated when appropriate input data are available. A study was performed on a 64-ha maize field located in Vojvodina region (northern Serbia). The soil was characterized as Chernozem. The field was managed by the farmer at a sub-field level in 2017. Apparent electrical conductivity zones were used for targeted soil sampling and final yield was recorded by yield monitors installed on the two harvesters used to harvest the field. According to the results, field slope, water flow direction and accumulation were important yield driving factors. Spatially variable soil properties were introduced into the WOFOST crop model by estimating available water within the field, based on calculated water flow accumulation. Points were selected within management zones. Yield predicted by the model was correlated with the yield measured by the yield monitors.

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