Structure and validation of RICEPEST, a production situation-driven, crop growth model simulating rice yield response to multiple pest injuries for tropical Asia

Willocquet, Laetitia; Savary, Serge; Fernandez, L.; Elazegui, F. A.; Castilla, N. P.; Zhu, Dan; Qiyi, Tang; Huang, Shiwen; Lin, Xianquing; Singh, H. M.; Srivastava, R. K.

doi:10.1016/s0304-3800(02)00014-5

Cited by 56 publications

(30 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The model was a derivation of the structure developed by Johnson for potato (Johnson and Teng 1990;Johnson 1992) with additional elements from the universal crop growth model SUCROS (Van Keulen et al 1982). The model was developed and tested in successive stages, the last evaluation phase involving simultaneous experiments in India, China, and the Philippines (Willocquet et al 2002). RICEPEST allows generation of yield loss estimates at specified attainable yields for given injury profiles.…”

Section: Crop Losses To Diseases In Rice In Tropical Asiamentioning

confidence: 99%

“…The model's structure is directly transposed from RICEPEST (Willocquet et al 2002(Willocquet et al , 2004 and addresses a range of key pests of wheat in Western Europe. As in RICEPEST, WHEATPEST enables the modelling of (1) yield losses to individual pests, (2) yield losses to a combination of pests, i.e., an injury profile, and (3) yield gains accrued by pest management options, whether existing, or to be developed.…”

Section: Simulation Modellingmentioning

confidence: 99%

See 1 more Smart Citation

Crop losses due to diseases and their implications for global food production losses and food security

et al. 2012

View full text Add to dashboard Cite

Section: Crop Losses To Diseases In Rice In Tropical Asiamentioning

confidence: 99%

Section: Simulation Modellingmentioning

confidence: 99%

Crop losses due to diseases and their implications for global food production losses and food security

et al. 2012

View full text Add to dashboard Cite

“…For example, exceptions include Willocquet et al (2002) who proposed a model that simulates yield losses due to several rice pests (sheath blight, brown spot, sheath rot, bacterial leaf blight, stem borers, brown plant hopper, defoliating insects, and weeds) under a range of specific production situations found in tropical Asia. Nevertheless, as Bergez et al (2010) observed, these aspects have not yet been sufficiently studied.…”

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.

View full text Add to dashboard Cite

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.

show abstract

“…New developments have taken place, where these five points are considered in the case of lowland rice in Asia (Pinnschmidt et al, 1995;Willocquet et al, 2000Willocquet et al, , 2002Willocquet et al, , 2004. Simulation models have been developed that make use of the concept of guilds of injuries (Pinnschmidt et al, 1995;Willocquet et al, 2000Willocquet et al, , 2002 which have been used to analyse and understand the yieldreducing effects of several pathogens, insects, and weeds in the same crop.…”

Section: Five Directionsmentioning

confidence: 99%

“…Simulation models have been developed that make use of the concept of guilds of injuries (Pinnschmidt et al, 1995;Willocquet et al, 2000Willocquet et al, , 2002 which have been used to analyse and understand the yieldreducing effects of several pathogens, insects, and weeds in the same crop. A modelling structure has been designed so that it can simultaneously handle production situations (as drivers of attainable crop performances) and injury profiles (as drivers of multiple injuries) in the very combinations where field characterisation had shown these (production situation) Â (injury profile) associations occur (Willocquet et al, 2000(Willocquet et al, , 2002). Production situations and their associated injury profiles were then used as the modelling context where disease and pest management tools could be most efficiently deployed, and where progress should be expected, and so expressed in yield gains, instead of yield losses (Willocquet et al, 2004).…”

Section: Five Directionsmentioning

confidence: 99%

Patterns and Management of Crop Multiple Pathosystems

Savary

Mille²,

Rolland³

et al. 2006

Eur J Plant Pathol

View full text Add to dashboard Cite

The study of multiple pathosystems has played a central role in the development of botanical epidemiology, leading to a number of approaches and concepts. Multiple pathosystems are facts, which are experienced by many non-cultivated, or cultivated, plant communities. The shapes and composition of multiple pathosystems vary in space and time because of their inherent structure of relationships, and also in response to management. Examples of variation in multiple pathosystems are given, of groundnut in Coˆte d'Ivoire, of wheat in Brittany, and of upland rice in northern Laos. Variation in the yield-reducing effects of multiple pathosystems is discussed, including interactions among disease elements, relationships with attainable performances, and linkages with production situations. Progress has been achieved in understanding the links between injury profiles, production situations, and attainable performances. Questions about the functioning and consequences of multiple pathosystems are central to defining the scientific bases for, the design of, and the implementing of IPM. The complexity of multiple pathosystems, however, remains a deterrent, not a challenge, to many plant pathologists. Progress achieved in designing production systems for hardy wheat in France, however, is very promising, because of the multidisciplinary science it involves, and because of the promise to deliver it carries. The concepts of epidemiological guilds and of guilds of harmful agents are offered as perspectives to address and manage syndromes of production and syndromes of disease. Relevance of multiple pathosystems in botanical epidemiology Multiple pathosystems as a research themeThe study of multiple pathosystems has played a central role in the development of botanical epidemiology. As a subject, it is the equivalent in botanical epidemiology of community ecology in general ecology. Research in the field has led to the development of a body of approaches, often statistical and multivariate, as the objective often has been mostly descriptive, rather than explanatory.Studies on multiple pathosystems (i) led to attempts to understand and manage them (e.g., Jo¨rg et al., 1987;Daamen et al., 1989;Bastiaans and Daamen, 1994), (ii) resulted in analyses of case-studies, and efforts dealing with specific cases and contexts (e.g., Hamelink et al., 1988;Avelino, 1999), and (iii) often were perceived as practical endeavours only. Studies of multiple pathosystems, dealing with a complex subject, inviting complex analyses, and leading to complex interpretations, have arguably led to results that were difficult to share. Arguably, this type of research often addresses open-ended questions, not specific

show abstract

Structure and validation of RICEPEST, a production situation-driven, crop growth model simulating rice yield response to multiple pest injuries for tropical Asia

Cited by 56 publications

References 26 publications

Crop losses due to diseases and their implications for global food production losses and food security

Crop losses due to diseases and their implications for global food production losses and food security

Model-based design of integrated production systems: a review

Patterns and Management of Crop Multiple Pathosystems

Contact Info

Product

Resources

About