In 21st century,the rapid increase in population and industrialization not only limits the per capita arable land for crop production but also limits the productive potential of soil and agricultural crops due to the ...In 21st century,the rapid increase in population and industrialization not only limits the per capita arable land for crop production but also limits the productive potential of soil and agricultural crops due to the negative impacts of anthropogenic climate change.Besides the abiotic factors of the environment,among biotic factors limiting productivity,weeds contribute the maximum.Due to various limitations in conventional weed control methods,integrated weed management(IWM)practices have evolved for effective weed management in agriculture.In this era of information and technological evolution,artificial intelligence is moving at a faster pace in every sector to address the issues of various dimensions.The use of deep learning,machine learning,and artificial neural networks in AI-enabled robots and unmanned aerial vehicles,along with multi-and hyper-spectral image sensors,make the tools capable enough for quick and efficient weed management for harnessing the ultimate productive potential of different fields crops.No doubt,the IWM practices designed for various crops in different countries in different ecologies have advantages over the individual and traditional approaches to weed control,but the use of these AI-enabled software and tools can save time,resources,money,and labor when used along with the best IWM method.Sensor-based weed identification,mapping,and automation can be done for precise and effective management of weed flora using these modern approaches,which will be environmentally friendly and have a broader scope for achieving global food security.展开更多
Induced systemic resistance(ISR)is a mechanism by which certain plant beneficial rhizobacteria and fungi produce immunity,which can stimulate crop growth and resilience against various phytopathogens,insects,and paras...Induced systemic resistance(ISR)is a mechanism by which certain plant beneficial rhizobacteria and fungi produce immunity,which can stimulate crop growth and resilience against various phytopathogens,insects,and parasites.These beneficial rhizobacteria and fungi improve plant performance by regulating hormone signaling,including salicylic acid(SA),jasmonic acid(JA),prosystemin,pathogenesis-related gene 1,and ethylene(ET)pathways,which activate the gene expression of ISR,the synthesis of secondary metabolites,various enzymes,and volatile compounds that ultimately induce defense mechanisms in plant.To protect themselves from disease,plants have various advanced defense mechanisms in which local acquired resistance,systemic gene silencing,systemic wound response,systemic acquired resistance(SAR),and ISR are involved.Several rhizobacteria activate the SA-dependent SAR pathway by producing SA at the root’s surface.In contrast,other rhizobacteria can activate different signaling pathways independent of SA(SA-independent ISR pathways)such as those dependent on JA and ET signaling.The main objective of this review is to provide insight into the types of induced resistance utilized for plant defense.Further to this,the genetic approaches used to suppress disease-causing genes,i.e.,RNA interference and antisense RNA,which are still underutilized in sustainable agriculture,along with the current vision for virus-induced gene silencing are also discussed.展开更多
基金support provided by Siksha‘o’Anusandhan University to prepare the manuscript is sincerely acknowledged。
文摘In 21st century,the rapid increase in population and industrialization not only limits the per capita arable land for crop production but also limits the productive potential of soil and agricultural crops due to the negative impacts of anthropogenic climate change.Besides the abiotic factors of the environment,among biotic factors limiting productivity,weeds contribute the maximum.Due to various limitations in conventional weed control methods,integrated weed management(IWM)practices have evolved for effective weed management in agriculture.In this era of information and technological evolution,artificial intelligence is moving at a faster pace in every sector to address the issues of various dimensions.The use of deep learning,machine learning,and artificial neural networks in AI-enabled robots and unmanned aerial vehicles,along with multi-and hyper-spectral image sensors,make the tools capable enough for quick and efficient weed management for harnessing the ultimate productive potential of different fields crops.No doubt,the IWM practices designed for various crops in different countries in different ecologies have advantages over the individual and traditional approaches to weed control,but the use of these AI-enabled software and tools can save time,resources,money,and labor when used along with the best IWM method.Sensor-based weed identification,mapping,and automation can be done for precise and effective management of weed flora using these modern approaches,which will be environmentally friendly and have a broader scope for achieving global food security.
基金Gujarat Arts and Science College,India and Raiganj University,India for their support
文摘Induced systemic resistance(ISR)is a mechanism by which certain plant beneficial rhizobacteria and fungi produce immunity,which can stimulate crop growth and resilience against various phytopathogens,insects,and parasites.These beneficial rhizobacteria and fungi improve plant performance by regulating hormone signaling,including salicylic acid(SA),jasmonic acid(JA),prosystemin,pathogenesis-related gene 1,and ethylene(ET)pathways,which activate the gene expression of ISR,the synthesis of secondary metabolites,various enzymes,and volatile compounds that ultimately induce defense mechanisms in plant.To protect themselves from disease,plants have various advanced defense mechanisms in which local acquired resistance,systemic gene silencing,systemic wound response,systemic acquired resistance(SAR),and ISR are involved.Several rhizobacteria activate the SA-dependent SAR pathway by producing SA at the root’s surface.In contrast,other rhizobacteria can activate different signaling pathways independent of SA(SA-independent ISR pathways)such as those dependent on JA and ET signaling.The main objective of this review is to provide insight into the types of induced resistance utilized for plant defense.Further to this,the genetic approaches used to suppress disease-causing genes,i.e.,RNA interference and antisense RNA,which are still underutilized in sustainable agriculture,along with the current vision for virus-induced gene silencing are also discussed.