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Long-Term Effects of Different Passages of Vehicular Traffic on Soil Properties and Carbon Storage of a Crosby Silt Loam in USA

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Pedosphere 2019年第2期29卷 150-160页

作者： gulab singh yadav Rattan LAL Ram Swaroop MEENA Basant RIMAL Carbon Management and Sequestration Centre the Ohio State University

The passage of vehicles with heavy axle loads causes soil compaction, and this adversely affects soil properties and crop *** adverse effects can persist for several years due to significant changes in key soil properties. However, the mechanisms of the aforementioned effects are not well understood for conservation agriculture(CA)(e.g., no-till(NT)) wherein the use of heavy machinery is considerably common. Therefore, known compaction forces(0 Mg load for compaction(NT-0, control), two passages of 2.5 Mg water wagon axle load(NT-2), and four passages of 2.5 Mg water wagon axle load(NT-4)) were applied to all the plots annually for 20 consecutive years. The experiment was established in 1997 at the Waterman Agricultural and Natural Resources Laboratory(WANRL), Ohio State University, Columbus, Ohio. Each treatment was replicated thrice. Soil samples were obtained in November2016 to determine the effects of variations in the axle load and vehicular passages on carbon(C) and nitrogen(N) storage and selected soil properties of a Crosby silt loam soil under NT-based corn-soybean rotation with residue retention in Central Ohio, USA. Three locations were also randomly selected in an adjoining natural woodlot(WL) soil plot and sampled(30 m away from the compaction field) to compare the effects of vehicular traffic on soil under NT with WL soil. Results revealed that soil bulk density(ρb) and total porosity at 0–10 and 10–20 cm depths were not affected by the passages of vehicular traffic for 20 years under the NT *** penetration resistance(PR)(1.86 and 2.03 MPa at 0–10 and 10–20 cm soil depths, respectively) was significantly higher under NT-4 compared with that under other treatments. Saturated hydraulic conductivity at 0–10 and 10–20 cm soil depths ranged from19.7 to 31.4 and 18.5 to 29.5 mm d^(-1), respectively, across all the treatments. The proportion of macroaggregates(> 0.25 mm) and microaggregates(< 0.25 mm), mean weight diameter and geometric mean diam

关键词： carbon stock heavy machinery no-till residue retention soil aggregates soil compaction soil quality well-drained soil

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Potential of conservation tillage and altered land configuration to improve soil properties,carbon sequestration and productivity of maize based cropping system in eastern Himalayas,India

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International Soil and Water Conservation Research 2021年第2期9卷 279-290页

作者： gulab singh yadav Anup Das Subhash Babu Kamal Prasad Mohapatra Rattan Lal Dipjyoti Rajkhowa Indian Council of Agricultural Research(ICAR) Research Complex for North Eastern HillRegionTripura CentreTripuraIndia ICAR eIndian Agricultural Research Institute New DelhiIndia ICAR-National Bureau of Plant Genetic Resources New DelhiIndia Carbon Management and Sequestration Center Ohio State UniversityColumbusUSA ICAR Research Complex for NEH Region Nagaland CentreNagalandIndia

Poor soil properties especially low soil organic carbon(SOC)and nutrient and water retention capacities are major concern for sustainable agriculture in *** experiments were conducted to assess the effects of six combinations of tillage[conventional tillage(CT)and no-till(NT)]and land configurations[flat bed planting(FB),ridge and furrow planting(RF),and raised bed planting(RB)]on productivity and carbon(C)-sequestration potential of maize[(Zea mays L.)for green-cob in summer]-maize(for grains in rainy season)-field pea[(Pisum sativum *** winter]cropping system under humid mildtropical climate of Tripura,*** maize under NT-FB in 2012 and NT-RF in 2013 produced significantly higher green cob yield than that under ***,in rainy season,CT produced higher maize grain yield than NT *** pea seed yield was significantly the highest under *** two cropping cycles,NT systems had higher available N,P,K and 18.6e31.4%higher soil moisture content after rainy season maize than CT *** highest SOC-stock(0e30 cm)was observed under NT-FB,whereas,SOC-sequestration rate was maximum under NT-RB(0.85 Mg ha1 year1).Therefore,NT based systems can enhance the productivity and improve SOC-sequestration in cultivated soils of eastern ***,study recommended adoption of NT-RB/NT-FB to raise maize-maize-field pea system for improving productivity,improving C-sequestration and soil properties in the eastern Himalayas and similar eco-regions elsewhere.

关键词： Soil fertility Carbon sequestration Soil moisture Low productivity Hill ecosystem

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Crop productivity,soil health,and energy dynamics of Indian Himalayan intensified organic maize-based systems

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International Soil and Water Conservation Research 2021年第2期9卷 260-270页

作者： Raghavendra singh Subhash Babu R.K.Avasthe gulab singh yadav Anup Das K.P.Mohapatra Amit Kumar Vinod K.singh Puran Chandra ICAR-National Organic Farming Research Institute GangtokSikkim737102India Division of Agronomy ICAR-Indian Agricultural Research InstituteNew Delhi110012India ICAR Research Complex for NEH Region Tripura CentreLembucherraTripura799210India ICAR-National Bureau of Plant Genetic Resources New Delhi110012India

The sustainability of prevailing maize-fallow system in rainfed ecosystems of the Eastern Himalayan region(EHR)of India is often questioned due to poor economic return and negative impact on soil ***,the six cropping systems,maize-fallow(M-F),maize t cowpea-rapeseed(M t C-Rs),maize t cowpea-buckwheat(M t C-Bw),maize t cowpea-barley(M t CeB),maize t cowpea-garden pea(M t C-GP)and maize t cowpeaerajmash(M t C-R)in the main plot and three soil moisture conservation measures,no-mulch(NM),maize stover mulch(MSM)and maize stover t weed biomass mulch(MSM t WBM)in sub-plot were evaluated for four consecutive years(2014-18)at a Research Farm in fixed plot *** indicated that cowpea co-culture with maize and inclusion of winter crop increased maize yield by 6.2e23.5%over *** the systems,the M t C-GP recorded the highest crop *** residual effect of MSM t WBM increased maize grain yield by 19.1%over *** of maize t cowpea-winter crops significantly improved the available N(3.2e12.9%),P(3.6 e12.7%),K(1.9e26.3%),organic carbon(9.2e16.8%),microbial biomass carbon-MBC(15.2e43.9%)and dehydrogenases-DHA(17.2e42.3%)in soil at 0e15 cm depth as compared to *** M t C-GP also recorded maximum net return(US$2460 ha1),benefit:cost(B:C)ratio(2.86)and energy use efficiency(7.9%).The MSM t WBM recorded higher net return(US$1680 ha1)and B:C ratio(2.46)over ***,cowpea t maize-garden pea(M t C-GP)along with the application of MSM t WBM is a sustainable production practice to intensify the organically managed maize-fallow system in rainfed regions of the EHR of India and other similar ecosystems.

关键词： Crop intensification Energy productivity Gross return Soil health Water productivity

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Double mulching improves soil properties and productivity of maize-based cropping system in eastern Indian Himalayas

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International Soil and Water Conservation Research 2020年第3期8卷 308-320页

作者： Bidyapati Ngangom Anup Das Rattan Lal Ramkrushna Gandhiji Idapuganti Jayanta Layek Savita Basavaraj Subhash Babu gulab singh yadav Probir Kumar Ghosh ICAR Research Complex for NEH Region UmiamMeghalayaIndia Krishi Vigyan Kendra-ICAR Research Complex for NEH Region Arunachal Pradesh CentreBasarArunachal PradeshIndia College of Post Graduate Studies Central Agricultural UniversityUmiamMeghalayaIndia ICAR Research Complex for NEH Region Tripura CentreLembucherraTripuraIndia Carbon Management and Sequestration Centre Ohio State UniversityUSA ICAR-Central Institute for Cotton Research NagpurMaharashtraIndia ICAR-KrishiVigyan Kendra IndiUniversity of Agricultural SciencesDharwadIndia ICAR-Indian Agricultural Research Institute New DelhiIndia ICAR-National Institute of Biotic Stress Management RaipurChhattisgarhIndia

A field experiment was conducted for two consecutive years at North Eastern Indian Himalayan region to assess the effect of soil moisture conservation measures on soil and water productivity of different rainfed maize(Zea mays L.)-based cropping *** revealed that double mulching with in-situ maize stover mulch(MSM)+fresh biomass of white hoary pea(WHP-Tephrosia candida)and MSM+fresh biomass of ragweed(RW-Ambrosia artemisiifolia)improved soil moisture content(SMC)and leaf relative water content of crops during dry *** soil organic carbon(SOC)content and stocks under MSM+WHP and MSM+RW mulches were significantly higher than that under no mulch at 0-15 cm *** soil microbial biomass carbon and dehydrogenase activity were maximum under MSM+WHP/*** highest system productivity was obtained from maize-French bean(Pole type-PT)sequence under MSM+RW followed by MSM+*** water productivity was the highest under MSM+*** SOC content was the highest under maize-French bean(PT),the maximum plant available nitrogen and phosphorus were obtained under maize-black gram ***,double mulching technology involving MSM and RW(available in plenty)is a viable option for improving soil,crop and water productivity under rainfed hill ecosystems of eastern Indian Himalayas.

关键词： Cropping systems Rainfed agriculture Residual soil moisture Soil properties Water productivity

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Application of remote sensing for sustainable agriculture and forest management

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Information Processing in Agriculture 2018年第3期5卷 295-297页

作者： Ram Swaroop Meena Tarik Mitran Sandeep Kumar gulab singh yadav Jitendra singh Bohra Rahul Datta The Carbon Management and Sequestration Centre The Ohio State UniversitySchool of Environment and Natural Resources 2021 Coffey RoadColumbusOhio 43210USA Soil and Land Resources Assessment Division Land ResourcesLand use Mappingand Monitoring GroupNational Remote Sensing CentreDepartment of SpaceIndian Space Research Organization(ISRO)Government of IndiaHyderabadTelanganaIndia Department of Agronomy CCS Haryana Agricultural UniversityHisarHaryana 125004India Department of Agronomy Institute of Agricultural SciencesBanaras Hindu UniversityVaranasi 221005Uttar PradeshIndia Department of Geology and Soil Science Faculty of Forestry and Wood TechnologyMendel University61300 BrnoCzech Republic

Global warming resulting from greenhouse effect has threatened to the sustainability of agriculture,forest and land surface globally.A significant rise in extreme weather events has been observed worldwide,particularly in developing countries[1].In the changing climatic era,the economic importance of the remote sensing and geographical information system(GIS)to monitoring forests and agricultural resources is imperative to the development of agro-ecosystem services and the products responding to user needs[2].The applications of the remote sensing for forestry and agriculture,including the estimation of the land surface,biophysical variables,forest vegetation’s,methods for mapping land cover,primary soil properties,the estimation of the forest cover area,and the contribution of remote sensing for crop and water monitoring to manage adverse conditions.

关键词： forest agriculture globally

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Intrusion Detection System Using Classification Algorithms with Feature Selection Mechanism over Real-Time Data Traffic

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China Communications 2024年第9期21卷 292-320页

作者： gulab Sah Sweety singh Subhasish Banerjee Computer Science and Engineering National Institute of Technology Arunachal PradeshIndia

The key objective of intrusion detection systems(IDS)is to protect the particular host or network by investigating and predicting the network traffic as an attack or *** IDS uses many methods of machine learning(ML)to learn from pastexperience attack *** based and identify the new *** though these methods are effective,but they have to suffer from large computational costs due to considering all the traffic features,***,emerging technologies like the Internet of Things(Io T),big data,*** getting advanced day by day;as a result,network traffics are also increasing ***,the issue of computational cost needs to be addressed ***,in this research,firstly,the ML methods have been used with the feature selection technique(FST)to reduce the number of features by picking out only the important ones from NSL-KDD,CICIDS2017,and CIC-DDo S2019datasets later that helped to build IDSs with lower cost but with the higher performance which would be appropriate for vast scale *** experimental result demonstrated that the proposed model *** tree(DT)with Recursive feature elimination(RFE)performs better than other classifiers with RFE in terms of accuracy,specificity,precision,sensitivity,F1-score,and G-means on the investigated datasets.

关键词： CICIDS2017 dataset classifiers IDS ML NSL KDD dataset RFE

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