Using the WOFOST crop growth model to assess within-field yield variability

A.C. Tagarakis*, G. Mimić, H.M. Vaessen, F. Rodriguez-Moreno, F.K. Van Evert, V. Ćirić

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademicpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationPrecision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019
EditorsJohn V. Stafford
PublisherWageningen Academic Publishers
Pages91-97
Number of pages7
ISBN (Electronic)9789086863372
DOIs
Publication statusPublished - 8 Jul 2019
Event12th European Conference on Precision Agriculture, ECPA 2019 - Montpellier, France
Duration: 8 Jul 201911 Jul 2019

Publication series

NamePrecision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019

Conference

Conference12th European Conference on Precision Agriculture, ECPA 2019
CountryFrance
CityMontpellier
Period8/07/1911/07/19

Fingerprint

crop models
growth models
Crops
Soils
Water
Harvesters
water flow
soil properties
Sampling
Serbia
harvesters
electrical conductivity
soil sampling
farmers
corn
crops

Keywords

  • Apparent electrical conductivity
  • Crop modelling
  • Soil texture
  • Water flow accumulation
  • Yield monitor

Cite this

Tagarakis, A. C., Mimić, G., Vaessen, H. M., Rodriguez-Moreno, F., Van Evert, F. K., & Ćirić, V. (2019). Using the WOFOST crop growth model to assess within-field yield variability. In J. V. Stafford (Ed.), Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019 (pp. 91-97). (Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-888-9_10
Tagarakis, A.C. ; Mimić, G. ; Vaessen, H.M. ; Rodriguez-Moreno, F. ; Van Evert, F.K. ; Ćirić, V. / Using the WOFOST crop growth model to assess within-field yield variability. Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019. editor / John V. Stafford. Wageningen Academic Publishers, 2019. pp. 91-97 (Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019).
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abstract = "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.",
keywords = "Apparent electrical conductivity, Crop modelling, Soil texture, Water flow accumulation, Yield monitor",
author = "A.C. Tagarakis and G. Mimić and H.M. Vaessen and F. Rodriguez-Moreno and {Van Evert}, F.K. and V. Ćirić",
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Tagarakis, AC, Mimić, G, Vaessen, HM, Rodriguez-Moreno, F, Van Evert, FK & Ćirić, V 2019, Using the WOFOST crop growth model to assess within-field yield variability. in JV Stafford (ed.), Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019. Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019, Wageningen Academic Publishers, pp. 91-97, 12th European Conference on Precision Agriculture, ECPA 2019, Montpellier, France, 8/07/19. https://doi.org/10.3920/978-90-8686-888-9_10

Using the WOFOST crop growth model to assess within-field yield variability. / Tagarakis, A.C.; Mimić, G.; Vaessen, H.M.; Rodriguez-Moreno, F.; Van Evert, F.K.; Ćirić, V.

Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019. ed. / John V. Stafford. Wageningen Academic Publishers, 2019. p. 91-97 (Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019).

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademicpeer-review

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T1 - Using the WOFOST crop growth model to assess within-field yield variability

AU - Tagarakis, A.C.

AU - Mimić, G.

AU - Vaessen, H.M.

AU - Rodriguez-Moreno, F.

AU - Van Evert, F.K.

AU - Ćirić, V.

PY - 2019/7/8

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N2 - 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.

AB - 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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PB - Wageningen Academic Publishers

ER -

Tagarakis AC, Mimić G, Vaessen HM, Rodriguez-Moreno F, Van Evert FK, Ćirić V. Using the WOFOST crop growth model to assess within-field yield variability. In Stafford JV, editor, Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019. Wageningen Academic Publishers. 2019. p. 91-97. (Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019). https://doi.org/10.3920/978-90-8686-888-9_10