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50 results for “production environments”
Studying the Impact of Product Packaging in a Virtual Store Environment
ClinicalTrials.gov study NCT04381481. IPD Sharing: NO. Countries: 1. Publications: 2.
Increased sperm production linked to competition in the maternal social environment
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Disentangling the effects of methanogen community and environment on peatland greenhouse gas production by a reciprocal transplant experiment
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Data from: Climate and local environment structure asynchrony and the stability of primary production in grasslands
<p><b>Aim</b>: Climate variability threatens to destabilize production in many ecosystems. Asynchronous species dynamics may buffer against such variability when decreased performance by some species is offset by increased performance of others. However, high climatic variability can eliminate species through stochastic extinctions or cause similar stress responses among species, reducing buffering. Local conditions, such as soil nutrients, can further alter production stability directly or by influencing asynchrony. We test these hypotheses using a globally distributed sampling experiment.</p> <p><b>Location</b>: Grasslands in North America, Europe and Australia.</p> <p><b>Time period</b>: Annual surveys over five-year intervals occurring between 2007 and 2014.</p> <p><b>Major taxa studied</b>: Herbaceous plants.</p> <p><b>Methods</b>: We annually sampled per-species cover and aboveground community biomass (net primary productivity; NPP), plus soil chemical properties, in twenty-nine grasslands. We tested how soil conditions, combined with precipitation and temperature variability, affect species richness, asynchrony and temporal stability of primary productivity. We used bivariate relationships and structural equation modeling to examine proximate and ultimate relationships.</p> <p><b>Results</b>: Climate variability strongly predicted asynchrony, whereas NPP stability was more related to soil conditions. Species richness was structured by both climate variability and soils, and in turn increased asynchrony. Temperature and precipitation variability caused a unimodal asynchrony response, with asynchrony lowest at low and high climate variability. Climate impacted stability indirectly through its effect on asynchrony, with stability increasing at higher asynchrony due to lower inter-annual NPP variability. Soil conditions had no detectable effect on asynchrony but increased stability by increasing mean NPP, especially when soil organic matter was high.</p> <p><b>Main Conclusions</b>: We found globally consistent evidence that climate modulates species asynchrony, but that the direct effect on stability is low relative to local soil conditions. Nonetheless, our observed unimodal responses to temperature and precipitation variability suggest asynchrony thresholds, beyond which there are detectable destabilizing impacts of climate on primary productivity.</p>
Data from: Global gradients in vertebrate diversity predicted by historical area-productivity dynamics and contemporary environment
Broad-scale geographic gradients in species richness have now been extensively documented, but their historical underpinning is still not well understood. While the importance of productivity, temperature, and a scale-dependence of the determinants of diversity is broadly acknowledged, we here argue that limitation to a single analysis scale and data pseudoreplication have impeded an integrated evolutionary and ecological understanding of diversity gradients. We develop and apply a hierarchical analysis framework for global diversity gradients that incorporates an explicit accounting of past environmental variation and provides an appropriate measurement of richness. Due to environmental niche conservatism organisms generally reside in climatically defined bioregions, or "evolutionary arenas", characterized by in situ speciation and extinction. These bioregions differ in age and their total productivity and have varied over time in area and energy available for diversification. We show that, consistently across the four major terrestrial vertebrate groups, current-day species richness of the world's main 32 bioregions is best explained by a model that integrates area and productivity over geological time together with temperature. Adding finer-scale variation in energy availability as an ecological predictor of within-bioregional patterns of richness explains much of the remaining global variation in richness at the 110km grain. These results highlight the separate evolutionary and ecological effects of energy availability and provide a first conceptual and empirical integration of the key drivers of broad-scale richness gradients. Avoiding the pseudo-replication that impedes the evolutionary interpretation of non-hierarchical macroecological analyses, our findings integrate evolutionary and ecological mechanisms at their most relevant scales and offer a new synthesis regarding global diversity gradients.
Data from: Investigating the production of sexual resting structures in a plant pathogen reveals unexpected self-fertility and genotype-by-environment effects
The sexual stage of pathogens governs recombination patterns and often also provides means of surviving the off-season. Despite its importance for evolutionary potential and between-season epidemiology, sexual systems have not been carefully investigated for many important pathogens, and what generates variation in successful sexual reproduction of pathogens remains unexplored. We surveyed the sexually produced resting structures (chasmothecia) across 86 natural populations of fungal pathogen Podosphaera plantaginis (Ascomycota) naturally infecting Plantago lanceolata in the Åland archipelago, southwest of Finland. For this pathosystem, these resting structures are a key life-history stage, as more than half of the local pathogen populations go extinct every winter. We uncovered substantial variation in the level of chasmothecia produced among populations, ranging from complete absence to presence on all infected leaves. We found that chasmothecia developed within clonal isolates (single strain cultures). Additionally, these clonal isolates all contained both MAT1-1-1 and MAT1-2-1 genes that characterize mating-types in Ascomycetes. Hence, contrary to expectations, we conclude that this species is capable of haploid selfing. In controlled inoculations we discovered that pathogen genotypes varied in their tendency to produce chasmothecia. Production of chasmothecia was also affected by ambient temperature (E), and by the interaction between temperature and pathogen genotype (G × E). These G, E and G × E effects found both at a European scale, as well as within Åland, may partly explain the high variability observed among populations in chasmothecia levels. Consequently, they may be key drivers of the evolutionary potential and epidemiology of this highly dynamic pathosystem.
Dairy Product Consumption and Impact on Nutritional Adequacy, Environment and Diet Cost
ClinicalTrials.gov study NCT03407248. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: Global gradients in vertebrate diversity predicted by historical area-productivity dynamics and contemporary environment
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Data from: Investigating the production of sexual resting structures in a plant pathogen reveals unexpected self-fertility and genotype-by-environment effects
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Data from: Climate and local environment structure asynchrony and the stability of primary production in grasslands
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Yield data for "Sanford, G. R. et.al. 2016. Comparative productivity of alternative cellulosic bioenergy cropping systems in the North Central USA. Agriculture, Ecosystems and Environment 216:344-355."
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Data from: Regional response of grassland productivity to changing environment conditions influenced by limiting factors
<p>Regional differences and regulatory mechanisms of vegetation productivity response to changing environmental conditions constitute a core issue in macroecological researches. To verify the main limiting factors of different macrosystems [temperature-limited Tibetan Plateau (TP), precipitation-limited Mongolian Plateau (MP), and nutrient-limited Loess Plateau (LP)], we conducted a comparative survey of the east-west grassland transects on the three plateaus and explored the factors limiting regional productivity and their underlying mechanisms. The results showed that aboveground net primary productivity (ANPP) of LP (109.10 ± 16.76 g m<sup>−2</sup> yr<sup>−1</sup>) was significantly higher than that of MP (66.71 ± 11.11 g m<sup>−2</sup> yr<sup>−1</sup>) and TP (57.02 ± 10.59 g m<sup>−2</sup> yr<sup>−1</sup>). The response rate of ANPP with environmental changes was different among different plateaus, being closely related to the main limiting factors. On MP, this was precipitation, on LP it was temperature and nutrients, and on TP, it was non-specific, reflecting restriction by the extremely low temperature. After autocorrelation screening of environmental factors, different regions exhibited different productivity response mechanisms. MP was mainly influenced by temperature and precipitation, LP was influenced by temperature and nutrient, and TP was influenced by nutrient, reflecting the modifying effect of the main limiting factors. The effect of each regional environment on ANPP was 72.56% on average and only 27.18% after simple regional integration. The regional model could optimize the simulation error of the integrated model, and the relative deviations in MP, LP, and TP were reduced by 31.76%, 17.22%, and 2.23%, respectively. These findings indicate that the grasslands on the three plateaus may have different or even the opposite mechanisms to control productivity.</p>
Data from: Quantifying genotype x environment effects in long-term common wheat yield trials from an agroecologically diverse production region
Multienvironment trials (METs) are used to investigate the performance of crop genotypes. To efficiently generate reliable performance estimates, the magnitude and patterns of genotype × environment interaction (G×E) in MET data must be known. We quantified G×E in fall-planted common wheat (Triticum aestivum L.) in California, with the goal of increasing the reliability and efficiency of statewide variety testing activities. Linear mixed models and the genotype main effects plus G×E interaction effects (GGE) biplot method were used to analyze MET data for 211 common wheat genotypes, the MET consisted of 9 locations and 14 seasons. The representativeness and discriminating power of the MET locations were tested, and estimates of the optimum number of test locations were made. The analyses did not find evidence for significant, repeatable, crossover G×E. The genotype and G×E effects were of a similar magnitude, and the G×E effects were relatively strong compared with other sources of variance but were dominated by seasonal effects, with potentially repeatable genotype-by-location (G×L) effects being relatively weak. The GGE analyses did not detect repeatable G×L patterns across seasons. As a result, we conclude that the cereal production regions of California consist of a single, but unstable, mega-environment for common wheat grain yield. The test location evaluation found few significant differences between test locations in terms of how well they represent the target production environment. We estimate that the number of test locations could be reduced while maintaining trial accuracy, which would improve the resource use efficiency of statewide trial activities without sacrificing information about variety-specific common wheat yield performance.
Data from: A competitive environment influences sperm production, but not testes tissue composition, in house mice
Due to the physiological cost of sperm production, males are expected to be prudent in their expenditure and adjust their investment according to current social conditions. Strategic adjustments in sperm expenditure during development can be made via changes in testes size, sperm production rates, or testes tissue composition. Here, using house mice, we test the hypothesis that elevated sperm production is driven by a plastic response in the spatial organisation of the testes. We reared males under different social conditions (competitive vs. non-competitive) and quantified sperm number and the proportion of sperm‐producing tissue within the testes. Further, because sperm quality is a critical determinant of competitive fertilization success, we used computer-assisted sperm analysis to quantify six sperm motility traits. Our investigation revealed that males reared in an environment with a perceived risk of reproductive competition produced more sperm in the absence of changes in testes morphology. We discuss this result in relation to fixed and flexible phenotypically plastic responses to future competitive conditions, and conclude that adaptive adjustments in sperm number in response to the social environment are likely attributable to variation in sperm production rate. Further, we found no difference in in vitro sperm motility parameters among males from the different social environment regimes. Overall, this investigation improves our understanding of the mechanisms of male plastic responses to reproductive competition experienced during sexual development.
Dataset for deep soil environment shapes alpine ecosystem productivity
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Characterization of Natural Production Environment of Ogaden Cattle Breed in Wabeshebele zone of Somali Regional State in Ethiopia
<p>The objective of the study was to characterize natural production environment of Ogaden cattle breed. Questionnaire used for the study was designed using the general information developed by FAO (2012). 3 districts and 6 kebeles were purposely and 126 cattle keepers were randomly selected for data collection. The studied variables were farming, cattle breeding practice, purpose of keeping, selection criteria, feeding, health care and veterinary service, income and non-income function, and cattle production constraints. SAS version 9.2, 2008 software was used for data analysis. 30.16% were pastoral while 69.84% were agro-pastoral. Significant difference seen between districts in crop land holding, but no significant difference between districts in forage land holding. Cattle keepers prefer to keep local Ogaden cattle breed and were practicing pure breeding. Majority of them do not produce adequate pasture. They treat diseased animals by traditional method (57.94%). Male cattle were kept for socio-cultural purpose whilst female cattle were kept for milk production. None of the agro-pastoral respondents have recalled that they use draught power and manure of cattle. Cow milk in the study area has taken the first line consumed by the livestock owners and generating daily income for their family need among other livestock products making cattle the most important livestock species. Prolonged feed shortage was the first cattle production constraint. The cattle keeping society in the studied area appeared to have distinct culture and tradition of keeping and utilization cattle.</p>
Data from: Parental care amplifies changes in offspring production in a disturbed environment
<p>Recruitment is usually negatively density-dependent with fewer offspring surviving when more are produced. Parental care could alter the pattern as behaviours that maximize individual fitness are not necessarily adaptive at the population level. We manipulated the number of eggs spawned into the nests of male threespine stickleback, and found egg survival to be positively density-dependent. This reversed negative density-dependent survival observed in the absence of parental care. The reversal was caused my males investing more in parental care when receiving more eggs, while favouring future reproductive opportunities when receiving few eggs. Density-dependent parental care thus amplified changes in offspring production in relation to number of eggs spawned. Such amplification may occur in disturbed environments where human activities have altered female fecundity and males may receive more or less eggs than expected. The optimal balancing between present and future parental investment can then be distorted, resulting in maladaptive parental behaviour that reduces offspring survival. These results suggest that behaviours that have evolved to maximize individual fitness under pristine conditions can become mal-adaptive under disturbed conditions and influence the recruitment of offspring into a population. Considering that human activities are rapidly transforming environments, such mal-adaptive behavioural responses could be common and magnify negative effects of human activities on population dynamics.</p>
The Impact of Standardized Tobacco Product Packaging on Young Adults in the Retail Environment
ClinicalTrials.gov study NCT05973981. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Regional response of grassland productivity to changing environment conditions influenced by limiting factors
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Data from: Quantifying genotype x environment effects in long-term common wheat yield trials from an agroecologically diverse production region
Open the record for dataset details and reuse information.
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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)
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.