The challenge of linking pest and crop models

Kropff, M.J.; Teng, P. S.; Rabbinge, R.

doi:10.1016/0308-521x(95)00034-3

Cited by 50 publications

(13 citation statements)

References 29 publications

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“…This is in line with remarks by other authors, which suggested that incorporation of host growth dynamics into epidemiological investigations leads to a better understanding of how disease affects growth and yield (Rotem et al 1983;Rouse 1983;Seem 1988). The approach of linking pest and crop growth models provides a tool to explore the dynamics of the interactions and optimize crop management strategies (Kropff et al 1995).…”

Section: Models Of Tuber Growth Depending On N Supply and Probable Yimentioning

confidence: 63%

Impact and Interaction of Nitrogen and Phytophthora infestans as Yield-limiting and Yield-reducing Factors in Organic Potato (Solanum tuberosum L.) Crops

Möller¹,

Habermeyer²,

Zinkernagel³

et al. 2007

Potato Res.

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For organic potato producers, the two main challenges are disease and nutrient management. Both are limited by regulations that on the one hand prohibit the use of chemical fertilizers, especially nitrogen, and on the other hand prohibit most synthetic pesticides. Late blight caused by Phytophthora infestans is commonly thought to be the most yield-reducing factor. However, because there is no really effective fungicide available to control late blight, there are virtually no yield loss data available for organic farming conditions. In this paper, the state of the art of organic potato tuber growth under on-farm conditions with respect to disease and nutrient management is summarized by field trials and on-farm surveys on commercial organic crops carried out in the years 1995-1998. Soil nitrogen (N) levels, plant N uptake, disease development of P. infestans and potato yield were measured. Results indicated that N availability was most important in limiting yields in organic potato crops. From on-farm data, a model including disease development, growth duration of the crops until foliage decay and different parameters related to N status of the crop could explain 73% of the observed variation in yield. Only 25% of this variation in yield could be attributed to the influence of late blight. Differences in N availability explained 48%. In conclusion, several points emerged from the results. In organic farming, yields are mainly limited by nutrient availability in spring and early summer. The effects of late blight on yields may often be overestimated and cannot be deduced from results in conventional farming because of the strong interaction with nutrient status. Depending on N availability, tubers stop growing between mid-July (70-90 kg N ha −1 uptake), the end of July (110-140 kg N ha −1 uptake) and mid-August (140-180 kg N ha −1 uptake) due to N limitations. The higher the N status of a potato crop, the longer the growing period needed to achieve the attainable yield and the higher the probability that late blight stops further tuber growth and becomes the key tuber-yield-limiting factor. In the second part of this paper, the interactive effects of soil N availability and the impact of P. infestans on yield in the presence and absence of fungicides from 1996 to 1998 for mid-early main crops are reported. An empirical schematic model of disease impact depending on N availability was developed.

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Section: Models Of Tuber Growth Depending On N Supply and Probable Yimentioning

confidence: 63%

Impact and Interaction of Nitrogen and Phytophthora infestans as Yield-limiting and Yield-reducing Factors in Organic Potato (Solanum tuberosum L.) Crops

Möller¹,

Habermeyer²,

Zinkernagel³

et al. 2007

Potato Res.

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“…However, pest occurrence, plant performance, and plant damage caused by pests constitute the key elements of integrated production systems. Accordingly, the whole (Kropff et al 1995). Even if agronomists have ignored it, much research has been conducted on the biotic component of agroecosystems, and many researchers have proposed pest models.…”

Section: Pest Models and Pest Control Modelsmentioning

confidence: 99%

“…Expert systems proposed by Mahaman et al (2003) and by Gonzalez-Andujar (2009) belong to this category (Mahaman et al 2003;GonzalezAndujar 2009). In addition, in order to quantify pest damage, models ranging from empirical functions that ignore the dynamics of crop-pest interactions to mechanistic simulation models that integrate the dynamics of a pest over the season have been proposed (Kropff et al 1995).…”

Section: Pest Models and Pest Control Modelsmentioning

confidence: 99%

Model-based design of integrated production systems: a review

Ould-Sidi¹,

Lescourret²

2011

Agronomy Sust. Developm.

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Pest resistance and water pollution are major issues caused by the excessive use of pesticides in intensive agriculture. The concept of integrated production system (IPS) has been thus designed to solve those issues and also to meet the need for better food quality and production. Methodologies such as agronomic diagnosis-based design, prototyping, and model-based design have been developed.Here we review the model-based design of IPS. We identify tools for the development of comprehensive models. Once comprehensive models have been developed, model-based design of IPS can be formulated as an optimization problem to be solved using different approaches. Thus, we review the choice of corresponding criteria, constraints, and mathematical formulations found in the literature. We analyze successful model-based design in transportation and drug development. We learn from these areas to overcome the inherent difficulties involved in the modelbased design of IPS. We recommend the following major points: IPS model-based design should use integrative modeling platforms, process-oriented modeling, and object-oriented techniques to improve the genericity, modularity, reuse of crop models, and the data sharing. The spatial dimension of IPS has to be accounted for by making crop models spatially explicit. The design evaluation criteria have to be standardized and carefully chosen by promoting stakeholders involvement. The design of IPS should be formulated as a multiobjective optimization problem, for which non-aggregative approaches should be preferred. Finally, it is necessary to establish a true dialogue between prototyping and model-based design practitioners in order to test, and if necessary to improve, the proposed systems.

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“…the action should be costeffective (Conway, 1981;Horskins and Wilson, 1999). The use of economic analysis for the management of arthropod and plant pests is well established (Mumford and Norton, 1984;Kropff et al, 1995;Ramirez and Saunders, 1999;Jones and Medd, 2000). However, its use in such decision-making for vertebrates has been neglected (Hone, 1994), probably because they cause less damage than invertebrate organisms (Pimentel, 1986;Van Vuren and Smallwood, 1996) and their impact is difficult to quantify.…”

Section: Introductionmentioning

confidence: 97%

Modelling the costs of fox predation and preventive measures on sheep farms in Britain

Moberly

White

Webbon

et al. 2004

Journal of Environmental Management

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The challenge of linking pest and crop models

Abstract: Developing integrated pest 1nanagement systems requires detailed quantitative knowledge of the interactions between the crop and its pests (insects, diseases and weeds) to identify intervention points and to

Cited by 50 publications

References 29 publications

Impact and Interaction of Nitrogen and Phytophthora infestans as Yield-limiting and Yield-reducing Factors in Organic Potato (Solanum tuberosum L.) Crops

Impact and Interaction of Nitrogen and Phytophthora infestans as Yield-limiting and Yield-reducing Factors in Organic Potato (Solanum tuberosum L.) Crops

Model-based design of integrated production systems: a review

Modelling the costs of fox predation and preventive measures on sheep farms in Britain

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