9 research outputs found

    Crop Choice, Non-Target Pest Levels, Yield Loss and Their Effect on Insecticide Use in South Dakota

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    Agriculturally, South Dakota is a unique state possessing the highest rate of adoption for genetically modified crop varieties. In 2009 ninety-six percent of corn acres planted in South Dakota were genetically modified compared with eighty-five percent nationally (Economic Research Service). Additionally, South Dakota has seen a dramatic increase in the number of acres treated with insecticide over the past 20 years. These two situations taken together seem to be counterintuitive. Some genetically modified varieties, such as Bt corn, are equipped with genetic defenses so that they can protect the plant from target pests. Intuitively, one would expect to see a decrease in insecticide use as adoption of genetically modified varieties increase. Recent studies have found that there is a reduction in herbicides applied to herbicide tolerant varieties. Here in South Dakota, though, producers have expressed the opinion that the increase in insecticide use is the result of the emergence and spread of the soybean aphid in the state. This research seeks to address the underlying causes of the increase in insecticide use.Bt corn,GM crops,insecticide

    Crop Choice, Non-Target Pest Levels, Yield Loss and Their Effect on Insecticide Use in South Dakota

    Get PDF
    Agriculturally, South Dakota is a unique state possessing the highest rate of adoption for genetically modified crop varieties. In 2009 ninety-six percent of corn acres planted in South Dakota were genetically modified compared with eighty-five percent nationally (Economic Research Service). Additionally, South Dakota has seen a dramatic increase in the number of acres treated with insecticide over the past 20 years. These two situations taken together seem to be counterintuitive. Some genetically modified varieties, such as Bt corn, are equipped with genetic defenses so that they can protect the plant from target pests. Intuitively, one would expect to see a decrease in insecticide use as adoption of genetically modified varieties increase. Recent studies have found that there is a reduction in herbicides applied to herbicide tolerant varieties. Here in South Dakota, though, producers have expressed the opinion that the increase in insecticide use is the result of the emergence and spread of the soybean aphid in the state. This research seeks to address the underlying causes of the increase in insecticide use.Bt corn, GM crops, insecticide, Agricultural and Food Policy, Crop Production/Industries, Q1, Q2, Q5,

    Insecticide Use and Crop Selection: A South Dakota Case Study

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    South Dakota has recently experienced a significant increase in the proportion of acres treated with insecticide. Unfortunately, data on insecticide usage by crop at the county level is not available. The following case study seeks to uncover the reasons for this increase by analyzing county-level data in South Dakota with a fixed effects panel regression. The study links the proportion of acres planted for a specific crop to the proportion of total acres treated with insecticide. This approach provides insight on how changing cropping patterns in South Dakota have influenced insecticide use.Variance Risk Premium, Variance Swap, Model-free Variance, Implied Variance, Realized Variance, Corn VIX

    Insecticide Usage - An Assessment of Application and Crop Selection: South Dakota Agriculture Case Studies

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    South Dakota has recently experienced an increase in the proportion of acres treated with insecticides. As pest control measures have changed with the adoption of genetically modified seed and increased specialization of agriculture production has resulted in crop producers having increased reliance on technical specialists and crop specialists. The following case studies seek to explore the reasons for the increase as well as analyze crops treated by Commercial Applicators. The following two case studies take different approaches to examine insecticide usage in South Dakota, one evaluating the proportion of acres treated over the past thirty years and the other looking at pounds of insecticide applied by Commercial Applicator\u27s in 2002. The studies provide insight on the cause of the increase in the proportion of acres treated with insecticides and how the crops are being treated by the Commercial Applicator and the specific chemicals being applied

    Crop Choice, Non-Target Pest Levels, Yield Loss and Their Effect on Insecticide Use in South Dakota

    No full text
    Agriculturally, South Dakota is a unique state possessing the highest rate of adoption for genetically modified crop varieties. In 2009 ninety-six percent of corn acres planted in South Dakota were genetically modified compared with eighty-five percent nationally (Economic Research Service). Additionally, South Dakota has seen a dramatic increase in the number of acres treated with insecticide over the past 20 years. These two situations taken together seem to be counterintuitive. Some genetically modified varieties, such as Bt corn, are equipped with genetic defenses so that they can protect the plant from target pests. Intuitively, one would expect to see a decrease in insecticide use as adoption of genetically modified varieties increase. Recent studies have found that there is a reduction in herbicides applied to herbicide tolerant varieties. Here in South Dakota, though, producers have expressed the opinion that the increase in insecticide use is the result of the emergence and spread of the soybean aphid in the state. This research seeks to address the underlying causes of the increase in insecticide use

    Insecticide Use and Crop Selection: A South Dakota Case Study

    No full text
    South Dakota has recently experienced a significant increase in the proportion of acres treated with insecticide. Unfortunately, data on insecticide usage by crop at the county level is not available. The following case study seeks to uncover the reasons for this increase by analyzing county-level data in South Dakota with a fixed effects panel regression. The study links the proportion of acres planted for a specific crop to the proportion of total acres treated with insecticide. This approach provides insight on how changing cropping patterns in South Dakota have influenced insecticide use

    Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)

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    In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for bona fide autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field
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