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Şimşek Ziya - One of the best experts on this subject based on the ideXlab platform.
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Predicting the development of critical biological stages of Sunn pest, Eurygaster integriceps Put. (Hemiptera: Scutelleridae), by using sum of degree-days for timing its Chemical Control in wheat
2016Co-Authors: Gözüaçık Celalettin, Yiğit Abdurrahman, Şimşek ZiyaAbstract:This investigation was carried out for possible use of sum of degree-days (total effective temperatures) in order to predict the critical biological stages in Chemical Control of Sunn pest, Eurygaster integriceps Put. (Hemiptera: Scutelleridae), in 28 wheat fields of Adıyaman, Diyarbakır, and Şanlıurfa provinces from 2007 to 2010, and in climate chamber conditions. Development threshold temperature (°C) of Sunn pest in terms of the life span, starting from egg to new generation of adults, was found as 13.30 °C. Sums of degree-days starting from 1 January to appearance of the eggs, first-stage nymphs (n1 ), second-stage nymphs (n2 ), and fourth-stage nymphs (n4 ) were found with the averages of 44.6, 84.4, 123.3, and 223.1 degree-days, respectively. The results from the field studies reflected that developmental biological data on sum of degree-days as a predictive tool could be useful in better decision making to start Chemical applications as soon as the appearance of n1 until n4 for Sunn pest Control.This investigation was carried out for possible use of sum of degree-days (total effective temperatures) in order to predict the critical biological stages in Chemical Control of Sunn pest, Eurygaster integriceps Put. (Hemiptera: Scutelleridae), in 28 wheat fields of Adıyaman, Diyarbakır, and Şanlıurfa provinces from 2007 to 2010, and in climate chamber conditions. Development threshold temperature (°C) of Sunn pest in terms of the life span, starting from egg to new generation of adults, was found as 13.30 °C. Sums of degree-days starting from 1 January to appearance of the eggs, first-stage nymphs (n1 ), second-stage nymphs (n2 ), and fourth-stage nymphs (n4 ) were found with the averages of 44.6, 84.4, 123.3, and 223.1 degree-days, respectively. The results from the field studies reflected that developmental biological data on sum of degree-days as a predictive tool could be useful in better decision making to start Chemical applications as soon as the appearance of n1 until n4 for Sunn pest Control
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Predicting the development of critical biological stages of Sunn pest, Eurygaster integriceps Put. (Hemiptera: Scutelleridae), by using sum of degree-days for timing its Chemical Control in wheat*
2016Co-Authors: Gözüaçık Celalettin, Yiğit Abdurrahman, Şimşek ZiyaAbstract:This investigation was carried out for possible use of sum of degree-days (total effective temperatures) in order to predict the critical biological stages in Chemical Control of Sunn pest, Eurygaster integriceps Put. (Hemiptera: Scutelleridae), in 28 wheat fields of Adıyaman, Diyarbakır, and Şanlıurfa provinces from 2007 to 2010, and in climate chamber conditions. Development threshold temperature (°C) of Sunn pest in terms of the life span, starting from egg to new generation of adults, was found as 13.30 °C. Sums of degree-days starting from 1 January to appearance of the eggs, first-stage nymphs (n1 ), second-stage nymphs (n2 ), and fourth-stage nymphs (n4 ) were found with the averages of 44.6, 84.4, 123.3, and 223.1 degree-days, respectively. The results from the field studies reflected that developmental biological data on sum of degree-days as a predictive tool could be useful in better decision making to start Chemical applications as soon as the appearance of n1 until n4 for Sunn pest Control
Robert Cheke - One of the best experts on this subject based on the ideXlab platform.
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beverton holt discrete pest management models with pulsed Chemical Control and evolution of pesticide resistance
Communications in Nonlinear Science and Numerical Simulation, 2016Co-Authors: Juhua Liang, Sanyi Tang, Robert ChekeAbstract:Pest resistance to pesticides is usually managed by switching between different types of pesticides. The optimal switching time, which depends on the dynamics of the pest population and on the evolution of the pesticide resistance, is critical. Here we address how the dynamic complexity of the pest population, the development of resistance and the spraying frequency of pulsed Chemical Control affect optimal switching strategies given different Control aims. To do this, we developed novel discrete pest population growth models with both impulsive Chemical Control and the evolution of pesticide resistance. Strong and weak threshold conditions which guarantee the extinction of the pest population, based on the threshold values of the analytical formula for the optimal switching time, were derived. Further, we addressed switching strategies in the light of chosen economic injury levels. Moreover, the effects of the complex dynamical behaviour of the pest population on the pesticide switching times were also studied. The pesticide application period, the evolution of pesticide resistance and the dynamic complexity of the pest population may result in complex outbreak patterns, with consequent effects on the pesticide switching strategies.
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Models for determining how many natural enemies to release inoculatively in combinations of biological and Chemical Control with pesticide resistance
Journal of Mathematical Analysis and Applications, 2015Co-Authors: Juhua Liang, Sanyi Tang, Robert ChekeAbstract:Combining biological and Chemical Control has been an efficient strategy to combat the evolution of pesticide resistance. Continuous releases of natural enemies could reduce the impact of a pesticide on them and the number to be released should be adapted to the development of pesticide resistance. To provide some insights towards this adaptation strategy, we developed a novel pest–natural enemy model considering both resistance development and inoculative releases of natural enemies. Three releasing functions which ensure the extinction of the pest population are proposed and their corresponding threshold conditions obtained. Aiming to eradicate the pest population, an analytic formula for the number of natural enemies to be released was obtained for each of the three different releasing functions, with emphasis on their biological implications. The results can assist in the design of appropriate Control strategies and decision-making in pest management.
Juhua Liang - One of the best experts on this subject based on the ideXlab platform.
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models for determining the optimal switching time in Chemical Control of pest with pesticide resistance
Mathematical Biosciences and Engineering, 2021Co-Authors: Juhua LiangAbstract:In this paper, we developed a novel resistant equation of pest to pesticide with external~induced resistance and genetic resistance, and then the analytical formula of this equation under different level of dominance of resistance allele is given. Further, we proposed the new methods of modelling pest populations with discrete generations and impulsive Chemical Control and developed a multi-scale system combining descriptions of pest populations and their genetic evolution. The threshold condition~of pest eradication solution was investigated in more detail, which allows us to address the optimal time when different types of pesticides should be switched. Moreover, we also provided a pesticide switching method guided by the economic injury level (EIL), and then some biological implications have been discussed in terms of pest Control.
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beverton holt discrete pest management models with pulsed Chemical Control and evolution of pesticide resistance
Communications in Nonlinear Science and Numerical Simulation, 2016Co-Authors: Juhua Liang, Sanyi Tang, Robert ChekeAbstract:Pest resistance to pesticides is usually managed by switching between different types of pesticides. The optimal switching time, which depends on the dynamics of the pest population and on the evolution of the pesticide resistance, is critical. Here we address how the dynamic complexity of the pest population, the development of resistance and the spraying frequency of pulsed Chemical Control affect optimal switching strategies given different Control aims. To do this, we developed novel discrete pest population growth models with both impulsive Chemical Control and the evolution of pesticide resistance. Strong and weak threshold conditions which guarantee the extinction of the pest population, based on the threshold values of the analytical formula for the optimal switching time, were derived. Further, we addressed switching strategies in the light of chosen economic injury levels. Moreover, the effects of the complex dynamical behaviour of the pest population on the pesticide switching times were also studied. The pesticide application period, the evolution of pesticide resistance and the dynamic complexity of the pest population may result in complex outbreak patterns, with consequent effects on the pesticide switching strategies.
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Models for determining how many natural enemies to release inoculatively in combinations of biological and Chemical Control with pesticide resistance
Journal of Mathematical Analysis and Applications, 2015Co-Authors: Juhua Liang, Sanyi Tang, Robert ChekeAbstract:Combining biological and Chemical Control has been an efficient strategy to combat the evolution of pesticide resistance. Continuous releases of natural enemies could reduce the impact of a pesticide on them and the number to be released should be adapted to the development of pesticide resistance. To provide some insights towards this adaptation strategy, we developed a novel pest–natural enemy model considering both resistance development and inoculative releases of natural enemies. Three releasing functions which ensure the extinction of the pest population are proposed and their corresponding threshold conditions obtained. Aiming to eradicate the pest population, an analytic formula for the number of natural enemies to be released was obtained for each of the three different releasing functions, with emphasis on their biological implications. The results can assist in the design of appropriate Control strategies and decision-making in pest management.
Jordan L Meier - One of the best experts on this subject based on the ideXlab platform.
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Chemical Control of a crispr cas9 acetyltransferase
ACS Chemical Biology, 2018Co-Authors: Jonathan H Shrimp, Carissa Grose, Stephanie R T Widmeyer, Ajit Jadhav, Abigail L Thorpe, Jordan L MeierAbstract:Lysine acetyltransferases (KATs) play a critical role in the regulation of transcription and other genomic functions. However, a persistent challenge is the development of assays capable of defining KAT activity directly in living cells. Toward this goal, here we report the application of a previously reported dCas9-p300 fusion as a transcriptional reporter of KAT activity. First, we benchmark the activity of dCas9-p300 relative to other dCas9-based transcriptional activators and demonstrate its compatibility with second generation short guide RNA architectures. Next, we repurpose this technology to rapidly identify small molecule inhibitors of acetylation-dependent gene expression. These studies validate a recently reported p300 inhibitor chemotype and reveal a role for p300s bromodomain in dCas9-p300-mediated transcriptional activation. Comparison with other CRISPR-Cas9 transcriptional activators highlights the inherent ligand tunable nature of dCas9-p300 fusions, suggesting new opportunities for orthog...
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Chemical Control of a crispr cas9 acetyltransferase
bioRxiv, 2017Co-Authors: Jonathan H Shrimp, Carissa Grose, Stephanie R T Widmeyer, Ajit Jadhav, Jordan L MeierAbstract:Lysine acetyltransferases (KATs) play a critical role in the regulation of transcription and other genomic functions. However, a persistent challenge is the development of assays capable of defining KAT activity directly in living cells. Towards this goal, here we report the application of a previously reported dCas9-p300 fusion as a transcriptional reporter of KAT activity. First we benchmark the activity of dCas9-p300 relative to other dCas9-based transcriptional activators, and demonstrate its compatibility with second generation short guide RNA architectures. Next, we repurpose this technology to rapidly identify small molecule inhibitors of acetylation-dependent gene expression. These studies validate a recently reported p300 inhibitor chemotype, and reveal a role for p300s bromodomain in dCas9-p300-mediated transcriptional activation. Comparison with other CRISPR-Cas9 transcriptional activators highlights the inherent ligand tuneable nature of dCas9-p300 fusions, suggesting new opportunities for orthogonal gene expression Control. Overall, our studies highlight dCas9-p300 as a powerful tool for studying gene expression mechanisms in which acetylation plays a causal role, and provide a foundation for future applications requiring spatiotemporal Control over acetylation at specific genomic loci.
Gözüaçık Celalettin - One of the best experts on this subject based on the ideXlab platform.
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Predicting the development of critical biological stages of Sunn pest, Eurygaster integriceps Put. (Hemiptera: Scutelleridae), by using sum of degree-days for timing its Chemical Control in wheat
2016Co-Authors: Gözüaçık Celalettin, Yiğit Abdurrahman, Şimşek ZiyaAbstract:This investigation was carried out for possible use of sum of degree-days (total effective temperatures) in order to predict the critical biological stages in Chemical Control of Sunn pest, Eurygaster integriceps Put. (Hemiptera: Scutelleridae), in 28 wheat fields of Adıyaman, Diyarbakır, and Şanlıurfa provinces from 2007 to 2010, and in climate chamber conditions. Development threshold temperature (°C) of Sunn pest in terms of the life span, starting from egg to new generation of adults, was found as 13.30 °C. Sums of degree-days starting from 1 January to appearance of the eggs, first-stage nymphs (n1 ), second-stage nymphs (n2 ), and fourth-stage nymphs (n4 ) were found with the averages of 44.6, 84.4, 123.3, and 223.1 degree-days, respectively. The results from the field studies reflected that developmental biological data on sum of degree-days as a predictive tool could be useful in better decision making to start Chemical applications as soon as the appearance of n1 until n4 for Sunn pest Control.This investigation was carried out for possible use of sum of degree-days (total effective temperatures) in order to predict the critical biological stages in Chemical Control of Sunn pest, Eurygaster integriceps Put. (Hemiptera: Scutelleridae), in 28 wheat fields of Adıyaman, Diyarbakır, and Şanlıurfa provinces from 2007 to 2010, and in climate chamber conditions. Development threshold temperature (°C) of Sunn pest in terms of the life span, starting from egg to new generation of adults, was found as 13.30 °C. Sums of degree-days starting from 1 January to appearance of the eggs, first-stage nymphs (n1 ), second-stage nymphs (n2 ), and fourth-stage nymphs (n4 ) were found with the averages of 44.6, 84.4, 123.3, and 223.1 degree-days, respectively. The results from the field studies reflected that developmental biological data on sum of degree-days as a predictive tool could be useful in better decision making to start Chemical applications as soon as the appearance of n1 until n4 for Sunn pest Control
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Predicting the development of critical biological stages of Sunn pest, Eurygaster integriceps Put. (Hemiptera: Scutelleridae), by using sum of degree-days for timing its Chemical Control in wheat*
2016Co-Authors: Gözüaçık Celalettin, Yiğit Abdurrahman, Şimşek ZiyaAbstract:This investigation was carried out for possible use of sum of degree-days (total effective temperatures) in order to predict the critical biological stages in Chemical Control of Sunn pest, Eurygaster integriceps Put. (Hemiptera: Scutelleridae), in 28 wheat fields of Adıyaman, Diyarbakır, and Şanlıurfa provinces from 2007 to 2010, and in climate chamber conditions. Development threshold temperature (°C) of Sunn pest in terms of the life span, starting from egg to new generation of adults, was found as 13.30 °C. Sums of degree-days starting from 1 January to appearance of the eggs, first-stage nymphs (n1 ), second-stage nymphs (n2 ), and fourth-stage nymphs (n4 ) were found with the averages of 44.6, 84.4, 123.3, and 223.1 degree-days, respectively. The results from the field studies reflected that developmental biological data on sum of degree-days as a predictive tool could be useful in better decision making to start Chemical applications as soon as the appearance of n1 until n4 for Sunn pest Control
