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1,425 results for “Agriculture”
Figure 6 in Two-fold increase in White Stork (Ciconia ciconia) population in Lithuania: a consequence of changing agriculture?
Figure 6. Number of young in successful White Stork nests.
Figure 1 in Halyomorpha halys Stål, (Hemiptera:Pentatomidae) feeding effects on some agricultural fruits in Georgia
Figure 1. Damage (%) caused by BMSB feeding on fully grown hazelnut kernels in Samegrelo, 2019.
Smart hydroponic agriculture using genetic algorithm based k-nearest neighbors
Open the record for dataset details and reuse information.
Resistance and resilience of the soil microbiome to mechanical compaction under different agricultural management systems
<p>The growing demand for food production over the past decades has led to an increase in agricultural land intensity that requires intensive management and use of highly mechanized equipment. The increasing weight of such equipment and the continuation of mechanized operations for tillage, seeding, fertilizing, spraying, and harvesting even at low frequency can lead to soil compaction. In Europe for example, soil compaction is estimated to affect about 32-36% of the agricultural areas and this percentage is constantly rising.</p> <p>Soil compaction affects soil physical properties by increasing soil bulk density, changing aggregate size distribution and altering pore connectivity. As a result, macropore functions such as facilitating water infiltration, hydraulic conductivity, air permeability and diffusion are reduced. The decreased pore size and connectivity lead to a decrease in oxygen availability that further increases the number of anaerobic niches within soil. The impact of all these changes in soil physics and chemistry does ultimately affect the soil microbial community and shifts bacterial, archaeal and fungal diversity and function.</p> <p>Although researchers, farmers and stakeholders have a relatively good understanding of the impact of soil compaction on physical and chemical soil properties, much less is known about what soil compaction does to microbes. However, microbes are the ultimate operators of all enzymatic transformations in every soil’s biogeochemical cycle, making their understanding crucial under soil compaction. Moreover, there is a lack of standard measurements to investigate compaction effects on soil microorganisms and their associated ecosystem functions. This often leads to inaccurate assessments of soil compaction effects on the entire ecosystem and, as a consequence, poor regulations and managerial decisions.</p> <p>This thesis aims to improve the scientific understanding of the effects of soil compaction on microbial community diversity and function, as well as their resistance (impact) and resilience (recovery) under different agricultural management systems. The objectives of this study were (i) to assess the resistance and the resilience of the soil microbial community structure to compaction under different agricultural management systems, (ii) to assess if the previously observed shifts in microbial diversity under compaction translated into shifts in function potential and (iii) to provide more mechanistic insights into the nitrogen cycle in agricultural systems under different levels of soil compaction.</p> <p>In the first chapter of this thesis, we assessed for the first time the resistance and the resilience of the soil microbial diversity to compaction under different agricultural management systems. For the purpose of this chapter, permanent ley and two crop rotations with and without tillage were used after a single compaction event in a long-term field experiment with a microbial DNA metabarcoding approach. The DNA metabarcoding approach highlighted a shift in microbial diversity under compaction, specific for each agricultural management system. A relative increase in potential anaerobically metabolizing prokaryotes and saprotrophic fungi and bacteria under soil compaction was found. Additionally, microorganisms with aerobic or plant-host-associated lifestyles were generally negatively affected. Those observations appear to be a unifying concept that agrees with previous studies carried out in forest soils. Whereas crop yield recovered after two growing seasons, for the microbial community four growing seasons were not sufficient to recover although soil properties were similar between compaction treatments and control at the end of the experiment.</p> <p>Building on the first chapter, we assessed in the second chapter, if shifts in microbial diversity under compaction translated as well into shifts in its function potential because of functional redundancy among microbial species. For the purpose, shotgun metagenomics approach was used. For instance, shotgun metagenomics results confirmed the increase in metabolic potential of anaerobic functions and the decrease in the aerobic ones. This observation supported our previous findings on the microbial diversity and our inference on their potential lifestyle. However, in contrary to the microbial diversity, the shift in microbial metabolic potential under compaction was independent of agricultural management systems.</p> <p>In the third and last chapter of this thesis, we tested the effect of different moisture contents on compaction severity and used a more closed system to better understand nitrogen partitioning in soil. For this purpose, we have set up pea and wheat cropping systems in microcosms and used the qPCR method to target key nitrogen function groups and further measured concentrations of different nitrogen forms (ammonium, nitrate and nitrous oxide). Our findings confirmed that the severity and effects of soil compaction are linked to the initial soil water content. This chapter highlighted that soil compaction favored denitrifying bacteria. As a result, soil nitrate concentration decreased and soil nitrous oxide concentration increased. Less clear observations were made regarding the nitrification process; whereas there was an accumulation of soil ammonium concentration, the abundance of nitrifying bacteria and archaea showed no notable change. Additionally, like for the previous chapters, those changes in functions involved in the nitrogen cycle were independent of the cropping system and not necessarily aligned with plant growth.</p> <p>Overall, the results based on the hypotheses tested and methods used within this PhD thesis, either taken individually or combined, help to better understand the resistance and resilience of soil microbial community under different agricultural management systems affected by compaction. The combined use of molecular tools, such as metabarcoding and metagenomic approaches, was considered as a suitable approach to have an overview of the microbial diversity and metabolic potential. Those first observations can be the basis to formulate more precise hypothesis to be tested with qPCR as it has been done for this PhD thesis. Nevertheless, in order to make tangible inference on the potential lifestyle of each microbe and their potential metabolic function, these molecular tools -metabarcoding, metagenomics and qPCR - need to be upheld by physico-chemical soil analysis and metabolic process measurements. Only by using this combined approach, studies can finally interpret the increase or decrease in relative abundance of taxa or function under compaction. Finally, the interdisciplinary, long-term and mechanistic approaches involved in this thesis demonstrated that the studied biological actors (e.g., plant and microbes) as well as the soil physical properties were not necessarily aligned in their resistance and recovery. All those findings bring new and unique knowledges on the compaction impact on microbial diversity and function and highlight the need of assessing many components of the agricultural system in order to make policy recommendations towards a more sustainable agriculture.</p>
Exploring the Landscape of Controlled Environment Agriculture Research: A Systematic Scoping Review of Current Trends and Topics
<p>No description provided.</p>
Assessment of willingness-to-pay for bio-based fertilisers among farmers and agricultural advisors in the EU - Data and Code
<p>Dataset and code from the publication (10.1016/j.jclepro.2023.137548)</p>
PROTECTION OF THE RIGHTS AND FUNDS OF FARMERS, HOUSING AND LAND MANAGEMENT IN UZBEKISTAN, DEVELOPMENT OF EFFICIENT USAGE OF SYSTEM OF THE AGRICULTURE
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Unidentified Agriculture Vehicle
This is one of several cool vehicles laying around in my neighborhood. I have fotoscanned it with my DLSR (Canon 70D with 20mm lens), then used Reality Capture, Instant Meshes and Blender to create it. Source: Objaverse 1.0 / Sketchfab
Statue from House of Agriculture
Scan of House of Agriculture and Food Industries' statue in Cité Universitaire in Paris 14. Scanned with canon eos 200D in Reality Capture Source: Objaverse 1.0 / Sketchfab
Action Against Malnutrition Through Agriculture (AAMA) Plus MNP Study
ClinicalTrials.gov study NCT01488305. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Clinical and Paraclinical Characteristics of the Systemic Scleroderma Cohort According to the Criteria ACR 2013 and the History of Professional Exposure or of Agricultural Environment
ClinicalTrials.gov study NCT03262922. IPD Sharing: Not stated. Countries: 1. Publications: 0.
An Agricultural Livelihood Intervention for Pregnant Women
ClinicalTrials.gov study NCT07043647. IPD Sharing: NO. Countries: 1. Publications: 0.
Effect of Agricultural Practices on Crops, Gut Microbiome, and Human Health
ClinicalTrials.gov study NCT07165145. IPD Sharing: NO. Countries: 1. Publications: 0.
Ergonomics and First Aid Training for Children of Seasonal Agricultural Worker Families
ClinicalTrials.gov study NCT06662838. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Health Belief Model-Based Educational Intervention on Safe Pesticide Use and Biomarkers in Agricultural Workers
ClinicalTrials.gov study NCT06173479. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Fostering Agricultural Relationships and Meaning - Thriving on Kinship
ClinicalTrials.gov study NCT07218965. IPD Sharing: YES. Countries: 1. Publications: 0.
Community Agriculture Nutritional Enterprises (CANE) Meal Program
ClinicalTrials.gov study NCT04237571. IPD Sharing: NO. Countries: 1. Publications: 0.
First Aid Needs of Female Agricultural Workers and the Impact of Basic First Aid Training on Their Knowledge Levels
ClinicalTrials.gov study NCT06804343. IPD Sharing: YES. Countries: 1. Publications: 0.
Content, Bioavailability and Health Effects of Trace Elements and Bioactive Components in Organic Agricultural Systems
ClinicalTrials.gov study NCT00738166. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Early Life Exposures in Agriculture
ClinicalTrials.gov study NCT02743481. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.