Data describing Upland cotton cultivars and advanced breeding lines used in Colombia

Burbano-Figueroa, Óscar; Montes-Mercado, Karen Sofía

doi:10.1016/j.dib.2019.104140

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…However, scouting was considered imprecise and expensive and eventually replaced by the detection of aggregation spots as the signal to start the insecticide sprays. Damage thresholds were still used to assess the effectiveness of the control of the aggregation spots and occasionally as signals for the start of entire-field sprays (Bonacelly López et al 2005).…”

Section: Decision-relevant Uncertainties and Their Value Of Informationmentioning

confidence: 99%

Profitability of farm-scale management strategies against the boll weevil in the tropics: case study from the Colombian Caribbean

et al. 2021

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Decision making in pest management is a challenging task. While pest dynamics are often quite uncertain, such decisions are often based on tenuous assumptions of certainty (economic injury levels and marginal utility approximations). To overcome such assumptions and adequately consider uncertainty, we apply decision analysis to evaluate management strategies used by farmers in the Colombian Caribbean against the boll weevil (BW). We represent the decision to protect the crop using partial budget analysis. This allows us to capture key properties of BW control strategies, while accounting for uncertainty about pest infestation pressure, control effectiveness and cotton yield and price. Our results indicate that proactive pest management is more efficient than reactive control given the current BW infestation pressure. However, farmers may prefer the reactive strategy, since they have experienced seasons with low infestation pressure where no insecticide applications were required. The proactive strategy, in contrast, requires scheduled pesticide applications in all years. Results show that in seasons with high infestation pressure the expected revenues of the reactive strategy tend to decrease, mainly because more spray applications are required when fields are heavily infested by the weevil. Value of information analysis revealed that uncertainties related to the start of the infestation, loss damage rate and attainable yield have the greatest influence on the decision recommendation for crop protection. Narrowing these key knowledge gaps may offer additional clarity on the performance of the current management strategies and provide guidance for the development of strategies to reduce insecticide use. This is particularly important for the promotion of the proactive strategy, which, under the current infestation pressure, has potential to reduce insecticide use. While economic injury levels can only be applied to responsive measures, our approach of partial budget analysis under uncertainty allows us to assess and compare both responsive and preventive measures in the same methodological framework. This framework can be extended to non-pesticide control measures.

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Section: Decision-relevant Uncertainties and Their Value Of Informationmentioning

confidence: 99%

Profitability of farm-scale management strategies against the boll weevil in the tropics: case study from the Colombian Caribbean

et al. 2021

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Management of the Boll Weevil (Coleoptera: Curculionidae) in the Colombian Caribbean: A Conceptual Model

Burbano-Figueroa

Sierra-Monroy

Martínez

et al. 2021

Journal of Integrated Pest Management

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The boll weevil [BW; Anthonomus grandis grandis Boheman (Coleoptera: Curculionidae)] is the main pest in the cotton-producing regions throughout the Americas from Southern Texas to Argentina. In the Colombian Caribbean, frequent population outbreaks have resulted in cotton planting bans in some localities and in massive applications of insecticides elsewhere (up to 15 insecticide sprays per cotton season). To date, information on boll weevil management strategies in Colombia is only available in the forms of gray literature (technical reports) and informal knowledge held by crop advisors and farmers. This study compiles this information using a standardized protocol for participatory construction of conceptual models for agricultural systems. The conceptual model developed in this study integrates the informal local knowledge of crop advisors and farmers with disciplinary knowledge describing management strategies for boll weevil. The collected data were assessed and organized using a systems approach to facilitate the future development of quantitative models and allow visualization of knowledge gaps. The model includes the description of the biological and technical-decisional subsystems. The latter subsystem explains boll weevil management at two temporal-spatial scales: 1) farm (field) scale management during the cotton season and 2) a regional boll weevil suppression strategy mainly aimed at controlling the insect populations that survived the intercotton season. The development of this conceptual model allowed describing the current management strategies for boll weevil and formulating hypotheses about the effectiveness of these strategies. This conceptual model provides guidelines for future research, and it can serve as a baseline for the development of quantitative models and simulations describing the decision-making process related to the management of boll weevil in the Colombian Caribbean.

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Data describing Upland cotton cultivars and advanced breeding lines used in Colombia

Cited by 2 publications

References 3 publications

Profitability of farm-scale management strategies against the boll weevil in the tropics: case study from the Colombian Caribbean

Profitability of farm-scale management strategies against the boll weevil in the tropics: case study from the Colombian Caribbean

Management of the Boll Weevil (Coleoptera: Curculionidae) in the Colombian Caribbean: A Conceptual Model

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