Herbicide Metabolism and Weed Resistance

357.08 SGD
Member Price
321.38
English

Product Description

Features new insights into metabolic herbicide resistance Metabolic resistance to herbicides poses a significant challenge to sustainable agriculture, with global implications for weed control and crop productivity. Resistance in Weeds from Herbicide Metabolism provides an in-depth exploration of the mechanisms driving this resistance in both grass and dicot weed species. Edited by leading experts Vijay K. Nandula and Roland Beffa, this up-to-date volume delves into the evolution of herbicide metabolism, focusing on enhanced metabolic degradation and its impact on multiple herbicide mechanisms of action. Contributions by leading experts in the field integrate recent technological advancements, including RNA sequencing and next-generation genomics, to uncover future research opportunities and innovative solutions. The book offers a historical perspective on herbicide resistance, detailed case studies of resistance in key weed species, and actionable insights into integrated weed management strategies. In-depth chapters highlight the practical applications of RNA sequencing, next-generation genomics, and other cutting-edge tools through detailed case studies of resistance evolution in key weed species such as blackgrass and Amaranthus. An essential resource for tackling one of modern agriculture’s most pressing issues, Resistance in Weeds from Herbicide Metabolism: Offers a thorough overview of metabolic herbicide resistance across a variety of grass and dicot weed species Explores cutting-edge advancements, including RNA sequencing and next-generation genomic tools Addresses the worldwide impact of herbicide resistance on agriculture and crop productivity Identifies future research opportunities to advance resistance management and technology development Employs a multidisciplinary approach that bridges fields such as molecular biology, biochemistry, and agricultural ecology Designed to be accessible to readers at all levels, Resistance in Weeds from Herbicide Metabo

Features new insights into metabolic herbicide resistance Metabolic resistance to herbicides poses a significant challenge to sustainable agriculture, with global implications for weed control and crop productivity. Resistance in Weeds from Herbicide Metabolism provides an in-depth exploration of the mechanisms driving this resistance in both grass and dicot weed species. Edited by leading experts Vijay K. Nandula and Roland Beffa, this up-to-date volume delves into the evolution of herbicide metabolism, focusing on enhanced metabolic degradation and its impact on multiple herbicide mechanisms of action. Contributions by leading experts in the field integrate recent technological advancements, including RNA sequencing and next-generation genomics, to uncover future research opportunities and innovative solutions. The book offers a historical perspective on herbicide resistance, detailed case studies of resistance in key weed species, and actionable insights into integrated weed management strategies. In-depth chapters highlight the practical applications of RNA sequencing, next-generation genomics, and other cutting-edge tools through detailed case studies of resistance evolution in key weed species such as blackgrass and Amaranthus. An essential resource for tackling one of modern agriculture’s most pressing issues, Resistance in Weeds from Herbicide Metabolism: Offers a thorough overview of metabolic herbicide resistance across a variety of grass and dicot weed speciesExplores cutting-edge advancements, including RNA sequencing and next-generation genomic toolsAddresses the worldwide impact of herbicide resistance on agriculture and crop productivityIdentifies future research opportunities to advance resistance management and technology developmentEmploys a multidisciplinary approach that bridges fields such as molecular biology, biochemistry, and agricultural ecology Designed to be accessible to readers at all levels, Resistance in Weeds from Herbicide Metabolism

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