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64 results for “farming systems”
Fig. 1 in Effects of Farming Systems on Insect Communities in the Paddy Fields of a Simplified Landscape During a Pest-control Intervention.
Fig. 1. Rice fields of different farming systems sampled in northern Taiwan.
Zabö Integrated Farming System
<p>This file includes the location boundary .shp file of the 3 GIAHS sites in India, AOI(Zabö) boundary .Shp file and the point location of the catchments.</p> <p> </p>
FIG. 2 in First in situ middle Pliocene cercopithecoid fossils from the Palaeokarst System of Bolt's Farm (South Africa)
FIG. 2. — View of the locus BPB with the "Parapapio spot" in the white circle.
Data from: Pest management science often disregards farming system complexities
<p><span>Since the 1940s, pesticide-intensive crop protection has sustained food security but also caused pervasive impacts on biodiversity, environmental integrity and human health. Here, we employ a systematic literature review to structurally analyze pest management science in 65 developing countries. Within a corpus of 3,407 publications, we find that taxonomic coverage is skewed towards a subset of 48 herbivores. Simplified contexts are commonplace: 48% of studies are performed within laboratory confines. 80% treat management tactics in an isolated rather than integrated fashion. 83% consider no more than two out of 15 farming system variables. Limited attention is devoted to pest-pathogen or pest-pollinator interplay, trophic interactions across ecosystem compartments or natural pest regulation. By overlooking social strata, the sizable scientific progress on agroecological management translates into slow farm-level uptake. We argue that the scientific enterprise should integrate system complexity to chart sustainable trajectories for global agriculture and achieve transformative change on the ground.</span></p>
Data from: Pest management science often disregards farming system complexities
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Data from: Maize-field complexity and farming system influence insectivorous birds’ contribution to arthropod herbivore regulation
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Data from: Highly diversified crop-livestock farming systems reshape wild bird communities
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Data from: Influence of ethnolinguistic diversity on the sorghum genetic patterns in subsistence farming systems in eastern Kenya
Understanding the effects of actions undertaken by human societies on crop evolution processes is a major challenge for the conservation of genetic resources. This study investigated the mechanisms whereby social boundaries associated with patterns of ethnolinguistic diversity have influenced the on-farm distribution of sorghum diversity. Social boundaries limit the diffusion of planting material, practices and knowledge, thus shaping crop diversity in situ. To assess the effect of social boundaries, this study was conducted in the contact zone between the Chuka, Mbeere and Tharaka ethnolinguistic groups in eastern Kenya. Sorghum varieties were inventoried and samples collected in 130 households. In all, 297 individual plants derived from seeds collected under sixteen variety names were characterized using a set of 18 SSR molecular markers and 15 morphological descriptors. The genetic structure was investigated using both a Bayesian assignment method and distance-based clustering. Principal Coordinates Analysis was used to describe the structure of the morphological diversity of the panicles. The distribution of the varieties and the main genetic clusters across ethnolinguistic groups was described using a non-parametric MANOVA and pairwise Fisher tests. The spatial distribution of landrace names and the overall genetic spatial patterns were significantly correlated with ethnolinguistic partition. However, the genetic structure inferred from molecular makers did not discriminate the short-cycle landraces despite their morphological distinctness. The cases of two improved varieties highlighted possible fates of improved materials. The most recent one was often given the name of local landraces. The second one, that was introduced a dozen years ago, displays traces of admixture with local landraces with differential intensity among ethnic groups. The patterns of congruence or discordance between the nomenclature of farmers' varieties and the structure of both genetic and morphological diversity highlight the effects of the social organization of communities on the diffusion of seed, practices, and variety nomenclature.
Empowering Coffee Farming Using Counterfactual Recommendation based RNN-IoT Integrated Soil Fertility Control System
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Ecological and social outcomes of urbanization on regional farming systems: a global synthesis
<p>This dataset contains the data extracted for a systematic review on ecological and social outcomes of urbanization in regional farming systems. It is based on 107 papers that were selected after scooping and screeing done in February 2019.</p>
FIGURE 3 in New species and records of earthworms (Annelida, Oligochaeta: Crassiclitellata) in small holder farming systems in the Peruvian Amazon
FIGURE 3. Martiodrilus (Maipure) tapiai sp. nov. Holotype. A. Common seta, segment 36. B. Genital setae a, segment 15. C. External, ventral view of clitellum and tubercula pubertatis, segments 14–25. D. Spermathecae of 6, 7, 8, 9; Gizzard in segment 6.
FIGURE 4 in New species and records of earthworms (Annelida, Oligochaeta: Crassiclitellata) in small holder farming systems in the Peruvian Amazon
FIGURE 4. Martiodrilus (Martiodrilus) alegrei sp. nov. Holotype. A. Common seta, segment 32. B. Genital setae a, segment 17. C. External, ventral view of clitellum and tubercula pubertatis, segments 15 - 27. D. Calciferous glands of segment 8. E. Spermathecae of 6.
FIGURE 2 in New species and records of earthworms (Annelida, Oligochaeta: Crassiclitellata) in small holder farming systems in the Peruvian Amazon
FIGURE 2. Martiodrilus (Maipure) yurimaguensis sp. nov. Holotype. A. Common seta, segment 56. B. Genital setae a, segment 17. C. External, ventral view of clitellum and tubercula pubertatis, segments 14–1/4 25. D. Calciferous glands segment 8. E. Calciferous glands segment 11. F. Spermathecae of 6, 7, 8, 9.
FIGURE 1 in New species and records of earthworms (Annelida, Oligochaeta: Crassiclitellata) in small holder farming systems in the Peruvian Amazon
FIGURE 1. Righiodrilus omagua sp. nov. Holotype. A. External lateral view of anterior body (preserved), showing clitellum in 15–20. B. Internal anatomy of anterior segments, dorsal view. S = Spermathecae of 9, 10; CG = calciferous glands in segments 11, 12; SV= large seminal vesicles in segment 12 extending backwards to segment 24.
Biodiversity and pollination benefits trade off against profit in an intensive farming system
<p>Agricultural expansion and intensification have boosted global food production but have come at the cost of environmental degradation and biodiversity loss. Biodiversity-friendly farming that boosts ecosystem services, such as pollination and natural pest control, is widely being advocated to maintain and improve agricultural productivity while safeguarding biodiversity. A vast body of evidence showing the agronomic benefits of enhanced ecosystem service delivery represents important incentives to adopt practices enhancing biodiversity. However, the costs of biodiversity-friendly management are rarely taken into account and may represent a major barrier impeding uptake by farmers. Whether and how biodiversity conservation, ecosystem service delivery, and farm profit can go hand in hand is unknown. Here we quantify the ecological, agronomic and net economic benefits of biodiversity-friendly farming in an intensive grassland-sunflower system in southwest France. We found that reducing land-use intensity on agricultural grasslands drastically enhances flower availability and wild bee diversity, including rare species. Biodiversity-friendly management of grasslands furthermore resulted in an up to 17% higher revenue on neighboring sunflower fields through positive effects on pollination service delivery. However, the opportunity costs of reduced grassland forage yields consistently exceeded the economic benefits of enhanced sunflower pollination. Our results highlight that profitability is often a key constraint hampering adoption of biodiversity-based farming and uptake critically depends on society's willingness to pay for associated delivery of public goods such as biodiversity.</p>
The Effects of Agro-ecological Farming Systems on Human Health
ClinicalTrials.gov study NCT05575258. IPD Sharing: YES. Countries: 1. Publications: 5.
Data from: Influence of ethnolinguistic diversity on the sorghum genetic patterns in subsistence farming systems in eastern Kenya
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Biodiversity and pollination benefits trade off against profit in an intensive farming system
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Ecological and social outcomes of urbanization in farming systems
<p>This dataset contains the data extracted for a systematic review on ecological and social outcomes of urbanization in farming systems. It is based on the papers selected after scooping and screeing done in February 2019.</p> <p>The file also contains the four factors- continents, national GDP per-capita, city/town population size and dominant farming systems of the cases which potentially influenced those ecological and social outcomes.</p>
Wheat field earthworms under divergent farming systems across a European climate gradient
<p>Earthworm community metrics data collected during the years 2019 and 2020 from organically and conventionally managed wheat fields (188 fields in total) in nine pedo-climatic zones of Europe, together with associated site information on climate, soil properties and agricultural management of the fields.</p>
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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)
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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.