Dry-seeded rice production systems are increasing in many Asian countries because of labor and water scarcities. However, weeds are the main biological constraints in these systems. Herbicides are widely used to manag...Dry-seeded rice production systems are increasing in many Asian countries because of labor and water scarcities. However, weeds are the main biological constraints in these systems. Herbicides are widely used to manage weeds but they do not provide effective weed control. The use of crop residue as mulch can suppress weed emergence and weed biomass but mulch alone does not provide effective weed control. The integrated use of herbicide and mulch, however, could provide more effective and sustainable weed control in dry-seeded rice systems. A study was conducted in two consecutive rice growing seasons to evaluate the combined effect of herbicide (treated and nontreated) and rice straw mulch (0, 2, and 4 t.ha-1) on weed growth and rice yield in a dry-seeded rice system. In the nontreated plots, weed biomass decreased with increases in mulch amounts, whereas weed biomass in the herbicide-treated plots was similar at different mulch amounts. Overall, herbicide treatments provided better weed control than the mulch treatments. In the nontreated plots, grain yield was similar at different mulch amounts, whereas grain yield in the herbicide-treated plots was greater when the field was mulched with 4 t.ha-1 of rice straw than with no mulch or mulched with only 2 t.ha-1 of rice straw. The results suggest that integrated use of mulch and herbicides can help weed control and increase crop yield in dry-seeded rice.展开更多
The demand for rice to meet the dietary need in low-income countries is expected to witness an exponential rise as the population increases.Meeting the rice demand domestically has remained challenging due to signific...The demand for rice to meet the dietary need in low-income countries is expected to witness an exponential rise as the population increases.Meeting the rice demand domestically has remained challenging due to significant yield loss caused by several biotic and abiotic factors.Among these factors,one of the most important is the high weed pressure that ravages the upland rice ecology.In Nigeria,several independent weed control techniques,such as physical,chemical and cultural methods,have been recommended and adopted for weed control across varying rice upland ecologies.However,outcomes of these approaches when used independently have not consistently led to an increase in yield.There remains an outstanding deficit between the actual yield and the potential rice yield.This review aimed to identify potential research gaps,and quest effective and sustainable weed management strategies in smallholder upland rice farming systems in Nigeria.A critical analysis of studies suggests the potential of sustainable weed management practices if adopted and adapted smartly in different upland ecologies in Nigeria.Competitiveness of upland rice against weeds can be enhanced through strategic integration of weed competitive cultivars,optimum nitrogen application timings(within weed-free periods),uniform plant spacing,and high seeding rates,with conventional herbicide/manual weed control practices.However,such management practices can only be engaged where inputs are supplied on time and the technical know-how is extended to farmers.The review equally highlights potential research gaps for further studies.展开更多
Background The critical period of weed control(CPWC) refers to the period of time during the crop growth cycle when weeds must be controlled to prevent yield losses.Ultra-narrow row(UNR) is a method of planting of cot...Background The critical period of weed control(CPWC) refers to the period of time during the crop growth cycle when weeds must be controlled to prevent yield losses.Ultra-narrow row(UNR) is a method of planting of cotton in rows that are 25 cm or less apart.Amongst cultural techniques for weed control,the use of narrow row spacing is considered to be a most promising approach that can effectively suppress weed growth and provide greater yields in cotton.This cultivation system can shorten the length of the critical weed-crop interference duration and results in greater yield.The current research aimed to determination of critical time of weed control in cotton(Gossypium hirsutum L.) under conventional and ultra-narrow row spacing conditions.Field experiments were arranged as factorial experiment in a randomized complete block design with three replications.Factors were cultivation system(conventional(50 cm row spacing) and ultra narrow row(25 cm row spacing and weed treatment including 30,45,60,and 75 days weeding after emergence during the growing season(weed free),and 30,45,60,and 75 without weeding(weed infested) in the growing season along with weedy and weed-free from sowing to harvesting.A four-parameter loglogistic model was fit to the two sets of relating relative crop yield to data obtained from increasing durations of weed interference and lengths of weed-free period.Results In both years and cultivation systems,the relative yield of cotton decreased with the increasing duration of weed-interference but increased with the increasing duration of weed-free period.Ultra-narrow row cultivation delayed the beginning of the CPWC in cotton.Under ultra-narrow row condition,the CPWC ranged from 21 to 99 days after germination in 2021 and 23 to 91 days in 2022 based on the 5% acceptable yield loss.Under conventional cultivation CPWC ranged from 17 to 102 days after emergence in 2021 and 18 to 95 days after emergence in 2022.Conclusions Under both conventional and Ultra-narrow row conditions,weed interference reduces seed yield.Under ultra-narrow row condition,weed interference until 21.1–23.5 days after cotton emergence and under conventional condition,weed interference until 16.9–18.5 days after cotton emergence had not significant reduction on cotton yield.展开更多
Weedy rice is a species of <i>Oryza</i>,<span> </span>and is a wild relative of cultivated rice. The weed possess</span><span style="font-family:"">es</span><...Weedy rice is a species of <i>Oryza</i>,<span> </span>and is a wild relative of cultivated rice. The weed possess</span><span style="font-family:"">es</span><span style="font-family:""> unique hardiness that allows them to thrive in dynamic and stressful environments. These characteristics suggest that weedy rice is a stored source of novel genes for competitive traits. One such trait is allelopathy, where a species releases secondary metabolites that suppress the growth and development of neighboring species. Weed competition is a limiting factor in rice production systems;therefore, it is critical to identify specific allelopathic weedy rice accessions to determine the genetic pathways and mechanisms associated with allelopathy to be used in breeding programs. Due to the complex nature of allelochemical production and the lack of knowledge of allelopathy mechanisms in weedy rice, phenotypic traits, particularly root traits, can be used to overcome this limitation and serve as target characteristics for breeding weed suppressive rice varieties. Five weedy rice accessions were chosen from preliminary screenings of larger sample sizes with the ability to suppress barnyardgrass weed seedling growth. Another five weedy rice with low barnyardgrass suppression was selected for the current root phenotypic study. Five cultivated rice lines were used as a comparison. All plants were propagated in a transparent germination pouch for four weeks. Roots were scanned and analyzed for root length and area covered. No differences were found in the seedling root area among weedy rice and rice accessions;however, allelopathic weedy rice plants exhibited a 14% increase in root length than non-allelopathic weedy rice plants. The allelopathic weedy rice accession B2 possessed the most extended root system (22.4 cm root length). The highly allelopathic weedy rice accessions (including B2) screened and phenotyped in this study are ideal candidates for identifying the genetic controls of early root length, a possible trait contributing to underground allelopathic production and competitive advantage.展开更多
Aureobasidium pullulans, a biocontrol agent for the annual weed Galium aparine L. was evaluated in vitro for its compatibility with commercial formulation of five herbicides at 1X （recommended field rate）, 0.5X, 0.2...Aureobasidium pullulans, a biocontrol agent for the annual weed Galium aparine L. was evaluated in vitro for its compatibility with commercial formulation of five herbicides at 1X （recommended field rate）, 0.5X, 0.2X, 0.1X 0.067X, and 0.05X concentrations. Germination of A. pullulans with paraquat, 2, 4-D, quizalofop-p, and ctethodim treatment appeared reduced compared with germination of A. pullulans with fluroxypyr treatment at all concentrations. Stunted and shorter germ tubes in comparison with the control were observed with 2, 4-D, quizalofop-p, and clethodim at 0.2X. All concentration of paraquat, 2, 4-D, quizalofop-p, and clethodim except 0.05X, significantly decreased radial growth of A. pullulans compared with its growth on the untreated PDA medium. Field trials to further develop A. pullulans as bio- control agent for control G. aparine L. was conducted to test the effectiveness of this fungus in wheat plots for 2 years at the same location in Xining. Treatments included spore suspensions of A. pullulans alone, a mixture of both fungus and fluroxypyr in wheat. Biocontrol agent effectiveness was estimated at approximately 7 and 14 days after treatment, as disease incidence, percent weed control, and weed biomass reduction. Significant reduction in weed biomass occurred in combination treatments, and potential exists to tank mix A. pullulans with fluroxypyr. Leaf surface moisture and air temperatures following application may account for inconsistencies in field results between years. This fungal organisms show potential as bioherbicides for weeds in G. aparine L.展开更多
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
文摘Dry-seeded rice production systems are increasing in many Asian countries because of labor and water scarcities. However, weeds are the main biological constraints in these systems. Herbicides are widely used to manage weeds but they do not provide effective weed control. The use of crop residue as mulch can suppress weed emergence and weed biomass but mulch alone does not provide effective weed control. The integrated use of herbicide and mulch, however, could provide more effective and sustainable weed control in dry-seeded rice systems. A study was conducted in two consecutive rice growing seasons to evaluate the combined effect of herbicide (treated and nontreated) and rice straw mulch (0, 2, and 4 t.ha-1) on weed growth and rice yield in a dry-seeded rice system. In the nontreated plots, weed biomass decreased with increases in mulch amounts, whereas weed biomass in the herbicide-treated plots was similar at different mulch amounts. Overall, herbicide treatments provided better weed control than the mulch treatments. In the nontreated plots, grain yield was similar at different mulch amounts, whereas grain yield in the herbicide-treated plots was greater when the field was mulched with 4 t.ha-1 of rice straw than with no mulch or mulched with only 2 t.ha-1 of rice straw. The results suggest that integrated use of mulch and herbicides can help weed control and increase crop yield in dry-seeded rice.
文摘The demand for rice to meet the dietary need in low-income countries is expected to witness an exponential rise as the population increases.Meeting the rice demand domestically has remained challenging due to significant yield loss caused by several biotic and abiotic factors.Among these factors,one of the most important is the high weed pressure that ravages the upland rice ecology.In Nigeria,several independent weed control techniques,such as physical,chemical and cultural methods,have been recommended and adopted for weed control across varying rice upland ecologies.However,outcomes of these approaches when used independently have not consistently led to an increase in yield.There remains an outstanding deficit between the actual yield and the potential rice yield.This review aimed to identify potential research gaps,and quest effective and sustainable weed management strategies in smallholder upland rice farming systems in Nigeria.A critical analysis of studies suggests the potential of sustainable weed management practices if adopted and adapted smartly in different upland ecologies in Nigeria.Competitiveness of upland rice against weeds can be enhanced through strategic integration of weed competitive cultivars,optimum nitrogen application timings(within weed-free periods),uniform plant spacing,and high seeding rates,with conventional herbicide/manual weed control practices.However,such management practices can only be engaged where inputs are supplied on time and the technical know-how is extended to farmers.The review equally highlights potential research gaps for further studies.
文摘Background The critical period of weed control(CPWC) refers to the period of time during the crop growth cycle when weeds must be controlled to prevent yield losses.Ultra-narrow row(UNR) is a method of planting of cotton in rows that are 25 cm or less apart.Amongst cultural techniques for weed control,the use of narrow row spacing is considered to be a most promising approach that can effectively suppress weed growth and provide greater yields in cotton.This cultivation system can shorten the length of the critical weed-crop interference duration and results in greater yield.The current research aimed to determination of critical time of weed control in cotton(Gossypium hirsutum L.) under conventional and ultra-narrow row spacing conditions.Field experiments were arranged as factorial experiment in a randomized complete block design with three replications.Factors were cultivation system(conventional(50 cm row spacing) and ultra narrow row(25 cm row spacing and weed treatment including 30,45,60,and 75 days weeding after emergence during the growing season(weed free),and 30,45,60,and 75 without weeding(weed infested) in the growing season along with weedy and weed-free from sowing to harvesting.A four-parameter loglogistic model was fit to the two sets of relating relative crop yield to data obtained from increasing durations of weed interference and lengths of weed-free period.Results In both years and cultivation systems,the relative yield of cotton decreased with the increasing duration of weed-interference but increased with the increasing duration of weed-free period.Ultra-narrow row cultivation delayed the beginning of the CPWC in cotton.Under ultra-narrow row condition,the CPWC ranged from 21 to 99 days after germination in 2021 and 23 to 91 days in 2022 based on the 5% acceptable yield loss.Under conventional cultivation CPWC ranged from 17 to 102 days after emergence in 2021 and 18 to 95 days after emergence in 2022.Conclusions Under both conventional and Ultra-narrow row conditions,weed interference reduces seed yield.Under ultra-narrow row condition,weed interference until 21.1–23.5 days after cotton emergence and under conventional condition,weed interference until 16.9–18.5 days after cotton emergence had not significant reduction on cotton yield.
文摘Weedy rice is a species of <i>Oryza</i>,<span> </span>and is a wild relative of cultivated rice. The weed possess</span><span style="font-family:"">es</span><span style="font-family:""> unique hardiness that allows them to thrive in dynamic and stressful environments. These characteristics suggest that weedy rice is a stored source of novel genes for competitive traits. One such trait is allelopathy, where a species releases secondary metabolites that suppress the growth and development of neighboring species. Weed competition is a limiting factor in rice production systems;therefore, it is critical to identify specific allelopathic weedy rice accessions to determine the genetic pathways and mechanisms associated with allelopathy to be used in breeding programs. Due to the complex nature of allelochemical production and the lack of knowledge of allelopathy mechanisms in weedy rice, phenotypic traits, particularly root traits, can be used to overcome this limitation and serve as target characteristics for breeding weed suppressive rice varieties. Five weedy rice accessions were chosen from preliminary screenings of larger sample sizes with the ability to suppress barnyardgrass weed seedling growth. Another five weedy rice with low barnyardgrass suppression was selected for the current root phenotypic study. Five cultivated rice lines were used as a comparison. All plants were propagated in a transparent germination pouch for four weeks. Roots were scanned and analyzed for root length and area covered. No differences were found in the seedling root area among weedy rice and rice accessions;however, allelopathic weedy rice plants exhibited a 14% increase in root length than non-allelopathic weedy rice plants. The allelopathic weedy rice accession B2 possessed the most extended root system (22.4 cm root length). The highly allelopathic weedy rice accessions (including B2) screened and phenotyped in this study are ideal candidates for identifying the genetic controls of early root length, a possible trait contributing to underground allelopathic production and competitive advantage.
基金Supported by National Natural Science Foundation of China(No.31160371,30860165)the National Key Technology R&D program of China(No.2012BAD19B02)the National High Technology Research and Development Program(863Program)of China(No.2011AA10A206)
文摘Aureobasidium pullulans, a biocontrol agent for the annual weed Galium aparine L. was evaluated in vitro for its compatibility with commercial formulation of five herbicides at 1X （recommended field rate）, 0.5X, 0.2X, 0.1X 0.067X, and 0.05X concentrations. Germination of A. pullulans with paraquat, 2, 4-D, quizalofop-p, and ctethodim treatment appeared reduced compared with germination of A. pullulans with fluroxypyr treatment at all concentrations. Stunted and shorter germ tubes in comparison with the control were observed with 2, 4-D, quizalofop-p, and clethodim at 0.2X. All concentration of paraquat, 2, 4-D, quizalofop-p, and clethodim except 0.05X, significantly decreased radial growth of A. pullulans compared with its growth on the untreated PDA medium. Field trials to further develop A. pullulans as bio- control agent for control G. aparine L. was conducted to test the effectiveness of this fungus in wheat plots for 2 years at the same location in Xining. Treatments included spore suspensions of A. pullulans alone, a mixture of both fungus and fluroxypyr in wheat. Biocontrol agent effectiveness was estimated at approximately 7 and 14 days after treatment, as disease incidence, percent weed control, and weed biomass reduction. Significant reduction in weed biomass occurred in combination treatments, and potential exists to tank mix A. pullulans with fluroxypyr. Leaf surface moisture and air temperatures following application may account for inconsistencies in field results between years. This fungal organisms show potential as bioherbicides for weeds in G. aparine L.
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.
