Animal Categories Research Articles

Welfare of ducks, geese and quail on farm.

This Scientific Opinion concerns the welfare of Domestic ducks (Anas platyrhynchos domesticus), Muscovy ducks (Cairina moschata domesticus) and their hybrids (Mule ducks), Domestic geese (Anser anser f. domesticus) and Japanese quail (Coturnix japonica) in relation to the rearing of breeders, birds for meat, Muscovy and Mule ducks and Domestic geese for foie gras and layer Japanese quail for egg production. The most common husbandry systems (HSs) in the European Union are described for each animal species and category. The following welfare consequences are described and assessed for each species: restriction of movement, injuries (bone lesions including fractures and dislocations, soft tissue lesions and integument damage and locomotory disorders including lameness), group stress, inability to perform comfort behaviour, inability to perform exploratory or foraging behaviour and inability to express maternal behaviour (related to prelaying and nesting behaviours). Animal-based measures relevant for the assessment of these welfare consequences were identified and described. The relevant hazards leading to the welfare consequences in the different HSs were identified. Specific factors such as space allowance (including minimum enclosure area and height) per bird, group size, floor quality, characteristics of nesting facilities and enrichment provided (including access to water to fulfil biological needs) were assessed in relation to the welfare consequences and, recommendations on how to prevent the welfare consequences were provided in a quantitative or qualitative way.

Haematopinus suis Infestation in Pig Farms in Busogo Sector, Rwanda.

Haematopinus suis(H. suis) is a common ectoparasite of pigs and is economically important worldwide. H. suis is responsible for anemia and poor feed conversion rate that lead to poor growth in pig husbandry. This study assessed the prevalence and risk factors of H. suis in pigs through a cross-sectional survey in Busogo sector of Musanze district. Fifty-five (55) pigs, representing 10% of 555 pigs from 20 farms, were examined physically for the presence of H. suis, and a total number of 559 H. suis were collected from them in Busogo sector of Musanze district. Data were analyzed using the Statistical Package for the Social Sciences (SPSS). Results showed that out of 55 pigs, a total number of 35 pigs (63.6%), were found infested with H. suis in Busogo sector of Musanze district. The infestation by H. suis was associated with the farming system, animal breeds, animal's category, sex, pig hygiene, and piggery hygiene. Results showed a high (P < 0.05) prevalence in pigs reared in the intensive system (91.4%), whereas large whites were the most affected breed (60%). The prevalence of H. suis varied significantly (P < 0.05) among sexes, and females were the most affected (60%). Results related to pig hygiene revealed that all farmers were practicing washing skin three times per week, whereas only 60.0% of them were removing the bedding in their piggery. The study concluded that H. suis is present and remains a problem in the study area. Therefore, the study recommends to create farmer's awareness on the disease in pigs and its impact through training. Researchers should continue further studies on H. suis prevention with appropriate pig husbandry and management practices and the efficacy of acaricides used.

The first Brazilian bovine breed: structure and genetic diversity of the Curraleiro Pé-duro.

The production of animal-based foods from native breeds have a synergistic relationship with the regional culture, the local climate, and mainly the maintenance of alternative genetic resources for a system with a lower environmental impact. Thus the efficiency of conservation and production depends on assessing the variability of these local breeds. In the case of Curraleiro Pé-duro cattle, the most adapted individuals have undergone natural selection over five hundred years in the Brazilian savannas, mating with little or no human interference. The peculiarities of these biomes, where the regional flora is the food base and cattle is raised in extensive areas, likely influenced the genetic composition of the different groups that make up the first cattle breed of Brazil. To evaluate the composition, diversity, variation, differentiation, and genetic structure of the populations studied, samples of hair follicles from 474 individuals of different animal categories (calves, yearlings, heifers, cows, and bulls) from three farms, defined as subpopulations "A", "B", and "C", were collected. The animals were genotyped for 17 microsatellite markers using a DNA sequencer. After verification of monomorphic alleles, alleles outside the expected size range, and for the presence of stutter bands, the results were subjected to statistical analysis. The markers used were suitable for the proposed application with a mean Polymorphism Information Content (PIC) of 0.62. On average, the effective alleles were 4.25 per marker, with mean heterozygosities of 0.74 (observed and expected), which was lower in herd A (0.70) in comparison to herds B (0.77) and C (0.74). The analysis of molecular variance (AMOVA) revealed a higher rate of variation within herds (98.5%) and lower among herds (1.5%) (FSTranging from 0.00723 and 0.03198; p-values < 0.05). However no significant differences among herds where found with the Mantel test based on geographic distances. The formation of genetic clusters of all animals sampled with the software Structure resulted in minimum cluster values, with two main genetic groups (K=2) observed among the evaluated animals. Therefore, based on PIC and heterozygosity values, a wide genetic diversity was observed, despite little differences in population structure (AMOVA, FST, and Structure results) among sampling sites.

Development of a data-driven method for assessing health and welfare in the most common livestock species in Switzerland: The Smart Animal Health project.

Improving animal health and welfare in livestock systems depends on reliable proxies for assessment and monitoring. The aim of this project was to develop a novel method that relies on animal-based indicators and data-driven metrics for assessing health and welfare at farm level for the most common livestock species in Switzerland. Method development followed a uniform multi-stage process for each species. Scientific literature was systematically reviewed to identify potential health and welfare indicators for cattle, sheep, goats, pigs and poultry. Suitable indicators were applied in the field and compared with outcomes of the Welfare Quality® scores of a given farm. To identify farms at risk for violations of animal welfare regulations, several agricultural and animal health databases were interconnected and various supervised machine-learning techniques were applied to model the status of farms. Literature reviews identified a variety of indicators, some of which are well established, while others lack reliability or practicability, or still need further validation. Data quality and availability strongly varied among animal species, with most data available for dairy cows and pigs. Data-based indicators were almost exclusively limited to the categories "Animal health" and "Husbandry and feeding". The assessment of "Appropriate behavior" and "Freedom from pain, suffering, harm and anxiety" depended largely on indicators that had to be assessed and monitored on-farm. The different machine-learning techniques used to identify farms for risk-based animal welfare inspections reached similar classification performances with sensitivities above 80%. Features with the highest predictive weights were: Participation in federal ecological and animal welfare programs, farm demographics and farmers' notification discipline for animal movements. A common method with individual sets of indicators for each species was developed. The results show that, depending on data availability for the individual animal categories, models based on proxy data can achieve high correlations with animal health and welfare assessed on-farm. Nevertheless, for sufficient validity, a combination of data-based indicators and on-farm assessments is currently required. For a broad implementation of the methods, alternatives to extensive manual on-farm assessments are needed, whereby smart farming technologies have great potential to support the assessment if the specific monitoring goals are defined.

A Deep-Learning Based Pipeline for Estimating the Abundance and Size of Aquatic Organisms in an Unconstrained Underwater Environment from Continuously Captured Stereo Video

The utilization of stationary underwater cameras is a modern and well-adapted approach to provide a continuous and cost-effective long-term solution to monitor underwater habitats of particular interest. A common goal of such monitoring systems is to gain better insight into the dynamics and condition of populations of various marine organisms, such as migratory or commercially relevant fish taxa. This paper describes a complete processing pipeline to automatically determine the abundance, type and estimate the size of biological taxa from stereoscopic video data captured by the stereo camera of a stationary Underwater Fish Observatory (UFO). A calibration of the recording system was carried out in situ and, afterward, validated using the synchronously recorded sonar data. The video data were recorded continuously for nearly one year in the Kiel Fjord, an inlet of the Baltic Sea in northern Germany. It shows underwater organisms in their natural behavior, as passive low-light cameras were used instead of active lighting to dampen attraction effects and allow for the least invasive recording possible. The recorded raw data are pre-filtered by an adaptive background estimation to extract sequences with activity, which are then processed by a deep detection network, i.e., Yolov5. This provides the location and type of organisms detected in each video frame of both cameras, which are used to calculate stereo correspondences following a basic matching scheme. In a subsequent step, the size and distance of the depicted organisms are approximated using the corner coordinates of the matched bounding boxes. The Yolov5 model employed in this study was trained on a novel dataset comprising 73,144 images and 92,899 bounding box annotations for 10 categories of marine animals. The model achieved a mean detection accuracy of 92.4%, a mean average precision (mAP) of 94.8% and an F1 score of 93%.

ENHANCING THE PROTECTION PROPERTY ON SILK FABRIC BY THE TREATMENT OF POLYACRYLIC ACID AND CHITOSAN

Silk is valued as one of the prominent protein textile fibers under the animal category famous for the distinct properties such as lustrous appearance, comfort performance, remarkable shiny sheen and also towards the bio-applications. In general, silk is highly sensitive and delicate; hence, there is a need for the protection in order to protect silk from the unwanted impacts of chemicals, light and insects. According to this consideration, in this work it is decided to give an application with polyacrylic acid (PA) and chitosan (CT) followed by adopting coloration process using selected natural dyes and a synthetic reactive dye. The silk fabric samples were undergone to specific tests like measuring the common physical properties, color values and the respective fastness aspects, hand values, antibacterial, uv protection performances and FTIR studies. The outcome of the results give very considerable improvement towards the protection aspects for the silk fabric specific for the textiles / garments and other utility products.

The Incidence of Liver Damage Found during Postmortem Examination at the Slaughterhouse.

We monitored liver damage in cattle (cows, heifers, fattening bulls, and calves culled from the herd), pigs (sows, finishing pigs, and piglets culled from the farm), sheep (ewes and lambs), goats (does and kids), rabbits, and poultry (end-of-lay hens, broiler chickens, turkeys, domestic ducks, and domestic geese) in the period from 2010 to 2021. All animals (n = 1,425,710,143) reared on Czech farms and slaughtered at slaughterhouses in the Czech Republic were included in the analysis. We determined the total number of damaged livers for individual categories of animals and also analyzed separately the incidence of damage of acute, chronic, parasitic, and other origin. The overall incidence of liver damage was higher in adult animals compared to fattening animals in all species. In cattle and pigs, the incidence was also higher in young animals culled from the herd compared to fattening animals. When comparing adult animals by species, the incidence of liver damage was highest in cows (46.38%), followed by sows (17.51%), ewes (12.97%), and does (4.26%). When comparing fattening animals by species, the incidence was highest in heifers (14.17%) and fattening bulls (7.97 %), followed by finishing pigs (11.26%), lambs (4.73%), and kids (0.59%). When comparing young culled from the herd by species, it was higher in piglets (32.39%) than in calves (17.6 %), and when poultry and rabbits were compared, the incidence was highest in turkeys (3.38%), followed by ducks (2.20%), geese (1.09%), broiler chickens (0.08%), and rabbits (0.04%). The results indicate that fattening animals have a better liver condition than mature animals and that culled young have a worse liver condition than older fattening animals. Chronic lesions represented the dominant proportion of pathological findings. Parasitic lesions occurred, first and foremost, in animals grazed on meadows with likely parasitic invasion, i.e., in ewes (7.51%), lambs (3.51%), and heifers (1.31%), and in animals in which antiparasitic protection is limited in view of the protection of meat from antiparasitic residues, i.e., finishing pigs (3.68%). Parasitic damage to the liver was rarely detected in rabbits and poultry. The results obtained represent a body of knowledge for measures to improve the health and condition of the liver in food animals.

DualDiscWaveGAN-Based Data Augmentation Scheme for Animal Sound Classification.

Animal sound classification (ASC) refers to the automatic identification of animal categories by sound, and is useful for monitoring rare or elusive wildlife. Thus far, deep-learning-based models have shown good performance in ASC when training data is sufficient, but suffer from severe performance degradation if not. Recently, generative adversarial networks (GANs) have shown the potential to solve this problem by generating virtual data. However, in a multi-class environment, existing GAN-based methods need to construct separate generative models for each class. Additionally, they only consider the waveform or spectrogram of sound, resulting in poor quality of the generated sound. To overcome these shortcomings, we propose a two-step sound augmentation scheme using a class-conditional GAN. First, common features are learned from all classes of animal sounds, and multiple classes of animal sounds are generated based on the features that consider both waveforms and spectrograms using class-conditional GAN. Second, we select data from the generated data based on the confidence of the pretrained ASC model to improve classification performance. Through experiments, we show that the proposed method improves the accuracy of the basic ASC model by up to 18.3%, which corresponds to a performance improvement of 13.4% compared to the second-best augmentation method.

Identification and Profiling of Risk Factors Associated with Decreased Fish Population and Biodiversity: A Case Study of Kolleru Lake in Andhra Pradesh during 2020 to 2021

At the start, we consider the greatest decreases in reproducing populace size that have been seen across a wide scope of animal categories. The essential imperative on such an activity is that these alleged memorable paces of decline will constantly misjudge real decays, since genuine notable populace maxima will have happened well before fishery the executives offices started gathering information on fish overflow. For most fish populaces, dependable quantitative information on overflow have just been accessible for the beyond 2 to thirty years. In this information base, bringing forth stock size, enlistment, gets by the fishery, and fishing mortality, all assessed by the public or global organization answerable for the administration of every populace, are accessible for a considerable length of time. Obviously marine fishes have encountered phenomenal downfalls comparative with known memorable levels. These information depend on populaces for which time series reach out something like 10 years, with a mean of 25 years and a limit of 73 years. Taken all in all, the middle greatest populace decline among the 232 populaces for which information are accessible is 83%; well over portion of the populaces (58%) showed most extreme decays of 80% or more. The solid negative slant in the information, and the high middle decrease in overflow, are likewise apparent at lower ordered levels. Among 56 populaces of clupeids, 73% experienced notable downfalls of 80% or more. Inside the Gadidae and cod, of the 70 populaces for which there are information, the greater part declined 80% or more. Furthermore, among 30 pleuronectid populaces, 43% displayed declines of 80% or more. These outcomes are sobering for two reasons. To start with, a considerable lot of them have happened notwithstanding a gigantic work to keep them from occurring. Second, as indicated above, they depend on "noteworthy" maxima that are not exactly notable by any means, most fisheries having been well under way many years or hundreds of years before the time series of information started. Without even a trace of longer-term information, analysts' discernments will more often than not scale to time spans that they, or maybe their folks, can recall. This outcomes in the "moving benchmark condition", by which researchers acknowledge information from an ever increasing number of late periods as baselines, failing to remember that this permits definitely diminished populaces to fill in for the a lot higher baselines that happened before people started significantly affecting populaces.

Carcass characteristics of Nordic native cattle breeds

Native livestock breeds are part of the history of the Nordic people and comprise a resource for future food production. In this study, net gain and carcass characteristics of two Danish, three Finnish, one Icelandic, six Norwegian and five Swedish native cattle breeds were retrieved and compared to commercial breeds: two beef breeds and two dairy breeds. Breed data were collected from national databases and sorted into six animal categories: young bull, bull, steer, heifer, young cow and cow, for which means and standard deviations were calculated within each country. The native breeds ranged from small-sized milking type breeds with low net gain, carcass weights and EUROP classification to larger multipurpose breeds with high net gains, carcass weights and EUROP classification. All Finnish and most of the Norwegian and Swedish native breeds had lower net gain and carcass weight than the dairy breeds in the same category and country, but with similar carcass conformation and fatness scores. The two Danish native breeds had higher net gain, carcass weight and conformation class than the reference dairy breed, but lower than the reference beef breeds. The net gain and carcass traits of the Icelandic native breed were similar to the smallest-sized native breeds from the other countries. The carcass traits of the native breeds indicate that they have comparative advantages in an extensive production system based on forage and marginal grasslands. They may also succeed better in the value-added markets than in mainstream beef production.

Safety and efficacy of a feed additive consisting of a zinc(II)-betaine complex for all animal species (Biochem Zusatzstoffe Handels- und Produktionsges. mbH).

Following a request from the European Commission, EFSA was asked to deliver a scientific opinion on the safety and efficacy of a zinc(II)-betaine complex as nutritional additive for all animal species. The EFSA Panelon Additives and Products or Substances used in Animal Feed (FEEDAP) concluded that the additive is safe for chickens for fattening. This conclusion could be extrapolated to all animal species and categories provided that the maximum authorised levels in the EU for total zinc in feed are not exceeded. The FEEDAP Panelconcluded that the use of the zinc(II)-betaine complex in animal nutrition is of no concern for consumer safety provided that the maximum authorised total zinc levels in feed are respected. The additive is considered to be a skin and respiratory sensitiser due to the presence of nickel; it is irritant to the eyes, but not to the skin. The use of the additive in animal nutrition for terrestrial animals and land-based aquaculture at the proposed use levels is considered safe for terrestrial and aquatic ecosystems. The available data do not allow the conclusion to be made on the safety of the additive for the marine sediment when it is used in sea cages. Based on the deposition of zinc in edible tissues/organs in chickens for fattening, the FEEDAP Panelconcluded that the additive is a source of bioavailable zinc, comparable to the standard inorganic zinc source, and therefore, the additive is efficacious in meeting the birds zinc requirements. This conclusion can be extrapolated to all animal species and categories.

Safety and efficacy of a feed additive consisting of copper(II)-betaine complex for all animal species (Biochem Zusatzstoffe Handels- und Produktionsges. mbH).

Following a request from the European Commission, the EFSA Panelon Additives and Products or Substances used in Animal Feed (FEEDAP Panel) was asked to deliver a scientific opinion on the safety and efficacy of a copper(II)-betaine complex as nutritional feed additive for all animal species. Based on the results of a tolerance study carried out in chicken, the FEEDAP Panelconcluded that the additive is safe for chickens for fattening when used up to the current maximum authorised levels of copper in feed; this conclusion was extrapolated to all animal species and categories at the respective maximum copper levels in complete feed authorised in the European Union. The FEEDAP Panelconcluded that the use of the copper(II)-betaine complex in animal nutrition at the maximum copper levels authorised for the animal species poses no concern to the safety of consumers. Regarding the safety for the environment, the use of the additive in feed for terrestrial animals and land-based aquaculture is considered safe under proposed conditions of use. The data available do not allow the conclusion to be made on the safety of the additive for marine sediment when it is used in sea cages. The additive is not a skin irritant, but it is an irritant to the eyes. Due to the traces of nickel, the additive is considered to be a respiratory and skin sensitiser. The Panelcould not conclude on the efficacy of the product.

Subjectivity and social constitution: Contrasting conceptions of institutions, artifacts, and animals.

We systematically compared beliefs about animal (e.g., lion), artifactual (e.g., hammer), and institutional (e.g., police officer) categories, aiming to identify whether people draw different inferences about which categories are subjective and which are socially constituted. We conducted two studies with 270 American children, ages 4 through 10: 140 girls, 129 boys, one not reported; 59% White, 3% Black, 10% Asian, one Native American, 17% multiracial or another race, 11% unreported. We also conducted two studies with 360 American adults recruited from Amazon mechanical Turk. In all four studies we found that children and adults judged institutional categories as more socially constituted than artifactual categories (in all studies) but as less subjective (in three of four studies). Whereas younger and older children's beliefs about subjectivity were similar, younger and older children expressed different beliefs about social constitution. Young children judged none of the category domains as socially constituted; older children differentiated between the three domains. These results support the conceptual independence of subjectivity and social constitution and suggest that concepts of institutions and artifacts differ. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Cold-Pressed Oilseed Cakes as Alternative and Sustainable Feed Ingredients: A Review.

Due to the increasing demand for alternative protein feed ingredients, the utilization of oilseed by-products in animal nutrition has been sought as a promising solution to ensure cheap and environmentally sustainable feedstuffs. This review aimed to summarize the nutritional value of six cold-pressed cakes (rapeseed, hempseed, linseed, sunflower seed, camelina seed, and pumpkin seed) and the effects of their inclusion in diet for ruminant, pig, and poultry on nutrient digestibility, growth and productive performance, and quality of the products. The presented results indicated that these unconventional feed ingredients are a good protein and lipid source and have a balanced amino acid and fatty acid profile. However, contradictory results of animal production performances can be found in the literature depending on the cake type and chemical composition, dietary inclusion level, animal category, and trial duration. Due to the substantial amount of essential fatty acid, these cakes can be efficiently used in the production of animal products rich in n-3 and n-6 polyunsaturated fatty acids. However, the utilization of cakes in pig and poultry nutrition is limited because of the presence of antinutritive factors that can deteriorate feed intake and nutrient utilization.

High work satisfaction despite high workload among European organic mixed livestock farmers: a mixed-method approach

Organic mixed livestock farming offers a range of potential benefits for the environment. Due to the diversification of enterprises, this farming system can be associated with a high workload, which means that it could be socially unsustainable. The aim of this study was to understand and explain work satisfaction of farmers running an organic mixed livestock farm. Using a mixed-method approach, quantitative and qualitative data were collected from 102 farmers in seven European countries during face-to-face interviews. We showed for the first time that across Europe and different animal species and category combinations, organic mixed livestock farms can provide a high work satisfaction, despite a high workload. By using a mixed-method approach and a clear framework, we aimed at better understanding work satisfaction. Underlying reasons for work satisfaction included the diversity of tasks, opportunities to learn, autonomy in the work schedule, perceived acknowledgement by consumers, and the contribution to sustainable food production. Factors contributing to work satisfaction identified in the analysis of quantitative data included workload, number of livestock units, mental complexity, proportion of work peaks per year, and the match between wanted free time and time taken off work. The combination of qualitative and quantitative data allowed a deeper understanding of farmers’ work satisfaction and revealed consistent findings. Future research should investigate the relationship between farmers’ work satisfaction and capacity for innovation, flexibility, and adaptation potential.

Comparison of the incidence of kidney damage in cattle, pigs, sheep and goats detected at slaughterhouses as an indicator of animal health

The incidence of kidney damage in livestock was monitored in the Czech slaughterhouses from 2010 to 2021. The results showed that the incidence of kidney damage was lower in all monitored species (P &lt; 0.05) in fattened animals compared to adult ones. In cattle and pigs, the incidence of kidney damage was lower (P &lt; 0.01) in fattened animals (bulls, finisher pigs) than in culled young (calves, piglets). When comparing individual categories of adult animals, the lowest incidence of kidney damage was found in does and ewes (2.68% and 3.01%, respectively), then in sows (28.45%), and the highest was in cows (40.46%). Among fattened animals, the incidence of findings in kidneys was increasing in the order of kids (0.21%), lambs (0.42%), bulls (10.46%) and finisher pigs (14.42%). Findings of chronic kidney damage were more frequent than findings of acute (P &lt; 0.01) and parasitic (P &lt; 0.01) origin in all observed categories of animals. The results show that, from the point of view of the incidence of kidney damage as a major consequence of imbalance between the organism’s metabolic needs and the nutrition provided to the animals, there are deficiencies of a significant level, which prove that there is still significant room for further optimization of the nutrition of individual categories of animals, that would take into account not only performance, overall clinical health, but also subclinical animal health, leading to a reduction in the incidence of kidney damage detected in animals at slaughter.

Hazards of swine slurry: Heavy metals, bacteriology, and overdosing-Physicochemical models to predict the nutrient value.

In this work, 124 samples of slurry from 32 commercial farms of three animal categories (lactating sows, nursery piglets, and growing pigs) were studied. The samples were collected in summer and winter over two consecutive years and analyzed for physicochemical properties, macronutrient and micronutrient, heavy metals, and major microbiological indicators. The results were found to be influenced by farm type and to deviate especially markedly in nursery piglets, probably as a consequence of differences in pig age, diet, and management. The main potential hazards of the slurries can be expected to arise from their high contents in heavy metals (Cu and Zn), especially in the nursery piglet group, and from the high proportion of samples testing positive for Salmonella spp. (66%). Linear and nonlinear predictive equations were developed for each animal category and the three as a whole. Dry matter, which was highly correlated with N, CaO, and MgO contents, proved the best predictor of fertilizer value. Using an additional predictor failed to improve the results but nonlinear and farm-specific equations did. Rapid on-site measurements can improve the accuracy of fertilizer value estimates and help optimize the use of swine slurry as a result.

On motifs and patterns on Early Trans-Caucasian IIA pottery from Yanik Tepe in northwestern Iran

This paper discusses the incised and impressed, white-filled motifs employed in the patterning of Early Trans-Caucasian (ETC) black burnished pottery from the site of Yanik Tepe in North-Western Iran. This site was excavated in the 1960s by Charles Burney and a monograph on the pottery and other finds is now in press. Firstly, an overview of the stratigraphy and context of the pottery from Yanik Tepe is provided. In the following section, which is accompanied by selected illustrations, the techniques employed in making the patterns are described. Next, the motifs themselves are broken down into broad categories of linear, bird and animal, flanking and miscellaneous, before moving on to discussion of combinations of motifs into composite, decorative designs. Brief comments on comparanda of motifs on pottery from within the vast ETC cultural zone precede more general observations on the motifs and discussion of possible interpretations. Conclusions allude to the wider setting of the ETC in relation to contemporaneous Central Iran and Greater Mesopotamia, emphasising yet again the inward-looking and conservative character of ETC culture on the one hand and the development of regional styles on the other.

DOES NEGATIVE AFFECT MODERATE THE RELATIONSHIP BETWEEN SUBJECTIVE COGNITIVE CONCERNS AND OBJECTIVE FUNCTIONING?

Abstract The onset of Alzheimer’s disease can be insidious, slowly affecting an individual’s cognitive abilities. Previous research demonstrated that informant-reported cognitive decline was associated with significantly worse baseline and longitudinal cognitive performance than was a participant’s subjective perceptions of decline. What remains unclear is how negative affect (i.e., depressive symptoms) could moderate the relation between objective cognitive performance and subjectively perceived cognitive concerns (participant vs. informant). Using the National Alzheimer’s Coordinating Center (NACC) database, we performed moderated multiple regressions to test whether Geriatric Depression Scale (GDS) score showed different relationships with cognitive measures (animal/vegetable fluency, digit span, Boston Naming Test, digit-symbol coding (DSC), Wechsler Memory Scale Logical Memory, Trail-Making Test, and Mini-Mental State Examination) for participant- and informant-reported cognitive decline (yes/no). Participants were aged ≥65 years and were cognitively healthy at baseline. Informants lived with the participant or visited the participant weekly (N = 9,354). Participant-reported cognitive concern interacted significantly (p&amp;lt;.05) with negative affect only for animal fluency while informant-reported cognitive concern interacted significantly with DSC. Depressive symptoms were associated more strongly with cognitive performance for participants who did not report a subjective cognitive decline compared to those who did report a subjective cognitive decline. Participant age showed significant negative relationships with all measures while GDS score showed significant negative relationships with all measures except immediate Logical Memory recall, regardless of decline status. In conclusion, negative affect generally did not moderate the relationship between participant- or informant-reported cognitive concerns and objective cognitive functioning except for animal category fluency and DSC.

DATAMAN: A global database of methane, nitrous oxide, and ammonia emission factors for livestock housing and outdoor storage of manure.

Livestock manure management systems can be significant sources of nitrous oxide (N2 O), methane (CH4 ), and ammonia (NH3 ) emissions. Many studies have been conducted to improve our understanding of the emission processes and to identify influential variables in order to develop mitigation techniques adapted to each manure management step (animal housing, outdoor storage, and manure spreading to land). The international project DATAMAN (http://www.dataman.co.nz) aims to develop a global database on greenhouse gases (N2 O, CH4 ) and NH3 emissions from the manure management chain to refine emission factors (EFs) for national greenhouse gas and NH3 inventories. This paper describes the housing and outdoor storage components of this database. Relevant information for different animal categories, manure types, livestock buildings, outdoor storage, and climatic conditions was collated from published peer reviewed research, conference papers, and existing databases published between 1995 and 2021. In the housing database, 2024 EFs were collated (63% for NH3 , 19.5% for CH4 , and 17.5% for N2 O). The storage database contains 654 NH3 EFs from 16 countries, 243 CH4 EFs from 13 countries, and 421 N2 O EFs from 17 countries. Across all gases, dairy cattle and swine production in temperate climate zones are the most represented animal and climate categories. As for the housing database, the number of EFs for the tropical climate zone is under-represented. The DATAMAN database can be used for the refinement of national inventories and better assessment of the cost-effectiveness of a range of mitigation strategies.