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Despite the efforts to end malnutrition through intensive agriculture of caloric crops, micronutrient deficiencies and other forms of malnutrition persist in vulnerable communities worldwide. Nutrition-sensitive agriculture (NSA) interventions are recognized as chances to address the causes of malnutrition. In this work, the different types of NSA interventions were explored, as well as the pathways through which they can improve nutrition (e.g., increasing biofortified crops and income generation via agricultural sales for a positive impact on access to nutritious foods, and simultaneously involving nutrition education to improve care practices and eventually nutritional status). Some NSA interventions focus on one pathway. Well-designed interventions, however, should follow multi-pathway approaches targeting the underlying causes of undernutrition within the selected population. The circumstances in which certain indicators should be used to measure the impact of an NSA intervention in each stage of the full pathway were also explained, as well as the need of enhancing the design of such interventions. Multi-criteria decision analysis (MCDA) has been employed to solve agriculture-related issues, but it has not been used to identify the optimal types of NSA interventions, metrics, and indicators based on the context of the community, priorities and objectives of the project managers and designers, etc. [ABSTRACT FROM AUTHOR]

The striped murrel (Channa striatus) is an economically valuable species in aquaculture due to its high price, medicinal properties, rapid growth, widespread consumer appeal, and ability to thrive in high-density intensive farming owing to its air-breathing capabilities. Despite these advantages, challenges in larval rearing hinder the production of high-quality fingerlings with increased survival rate. This review examines current larval rearing protocols for striped murrel, identifies bottlenecks, and explores digestive development during early stages to enhance understanding of its ontogeny. While advancements have been made, there are gaps in knowledge regarding the roles of specific genes and hormones during early development, and the impact of environmental factors on larval survival and metabolism. To address these gaps, this review draws an extensive knowledge acquired from studies on other fish species, examining digestive and metabolic genes, hormones, and environmental factors, with the goal of advancing larviculture practices for striped murrel. In addition, this review provides insights into the methodologies for studying the digestive system during early developmental stages of striped murrel larvae. [ABSTRACT FROM AUTHOR]

This research employed a participatory co-design approach to improve sustainable agricultural practices in Sadivayal village, Tamil Nadu. Smallholder tribal farmers faced challenges like pest vulnerability, middlemen influence, and limited awareness of sustainable rice production technologies. The COVID-19 pandemic worsened these issues, leading many farmers to lease their land to middlemen who practiced chemically intensive farming. This created confusion, as farmers were uncertain whether to let middlemen continue or switch to chemically intensive farming themselves, abandoning traditional methods. The study involved farmers in defining problems, planning interventions, and conducting treatment demonstrations, integrating indigenous and scientific knowledge. Three treatments including organic, chemically intensive, and integrated farming were tested on four indigenous rice varieties and one commercial variety (CO55). Results showed CO55 was preferred due to its high-yielding capacity (4622 kg ha−1) and drought avoidance due to short duration (121 days), while Karuppu Kavuni was valued for its pest and disease resistance. Seeraga Samba was the least preferred due to high pest susceptibility and poor yield (1828 kg ha-1). Farmers favored a combination of organic and inorganic practices, and the study has led to the adoption of CO55 (54%), Karuppu Kavuni (24%), and Mappilai Samba (12%) in the 2023 season. The study features the value of participatory approaches in addressing local challenges and promoting sustainable farming practices. [ABSTRACT FROM AUTHOR]

Among human activities agriculture is one of the main drivers of biodiversity loss worldwide in recent decades. The effects of agricultural intensification on vertebrate populations may vary depending on their habitat requirements. The effect of environmental and/or genetic stress on populations can be assessed using fluctuating asymmetry and body condition of animals. We implemented both linear and geometric morphometric methods to assess the influence of agricultural intensification on three native rodent species. For this, we evaluated different stress indicators on skulls and mandibles (fluctuating asymmetry, centroid size and scaled mass index) of three species of small mammals at borders of rural roads in agroecosystems in central Argentina. We explored the impact of intensification using variables at different scales: landscape level, assessing complexity through functional and structural heterogeneity; and local level, through vegetal volume of the border. We found species-specific responses, where the most sensitive species was Calomys venustus, which showed individuals with lower developmental stability and body condition in simple landscapes and low-quality habitats. Akodon azarae responded in an intermediate manner to both size and mass index indicators, while the species Calomys musculinus was the least affected, with changes only in body condition observed, with larger individuals in more complex landscapes. Our results suggest that the impact of agricultural intensification on small mammals varies according to their habitat requirements and the landscape heterogeneity. This study shows the importance of considering both local and landscape variables to propose management measures for biodiversity conservation in cropland anthromes. [ABSTRACT FROM AUTHOR]

In the context of current intensive livestock farming development, we present a novel energy-efficient ventilation method, named as the partition jet and pit exhaust (PJPE) system, for multi-story pig facilities. The objective is to overcome the limitations of traditional ventilation methods, e.g., mixing ventilation sidewall air supply or tunnel ventilation, in managing heat stress and air quality. Isothermal and non-isothermal experiments were conducted in a 1:2.5 scaled pig pen model to study the airflow distribution characteristics and ventilation effectiveness of the PJPE system. The results demonstrate that the PJPE system enables rapid delivery of fresh air to the animal-occupied zone (AOZ). With the Archimedes numbers (Ar) of supply air ranging between 0.0025 and 0.0052, the jet maintains low air temperatures near the pig's back. Compared to traditional pig house ventilation methods, the PJPE demonstrates better heat removal efficiency (HRE), with an average HRE of 1.20. Additionally, the PJPE effectively inhibits the upward diffusion of ammonia from the slurry pit. These findings indicate that the PJPE system presents a viable, energy-efficient alternative for environmental control in high-density pig housing, highlighting its potential for advancing animal welfare and productivity in intensive livestock farming. • Scale model testing for application in multi-story pig facilities. • The system can deliver fresh air with high velocity to the animal-occupied zones. • The average heat removal efficiency of animal-occupied zone is 1.2. • The ventilation system markedly reduces ammonia diffusion from the slurry pit. [ABSTRACT FROM AUTHOR]

Agricultural intensification causes the loss and fragmentation of natural habitats, which negatively impacts farmland biodiversity. The concomitant isolation of essential resources may favour increased dispersal ability in flying insects, resulting in differences in flight morphology and dispersal propensity across landscapes.We collected the butterfly Coenonympha pamphilus in four replicated landscape pairs, each consisting of (a) a highly fragmented and intensified 'modern' and (b) a less fragmented 'traditional' agricultural landscape. We compared condition (i.e. storage reserves), flight morphology, dispersal capacity and propensity of the collected butterflies between both landscape types. We also tested for the impact of landscape composition and configuration at different spatial scales on butterfly traits.No differences between landscape types per se could be found, but a variety of landscape features affected butterfly traits, indicating complex interactions between landscape heterogeneity and dispersal. In particular, landscapes with a high proportion of crop fields appeared to be selected for phenotypes enhancing dispersal ability.Since dispersal is a key factor for the persistence of metapopulations in fragmented landscapes, we argue that limitations on dispersal in relation to compositional and configurational landscape heterogeneity should be considered in the debate on insect declines in agricultural landscapes. [ABSTRACT FROM AUTHOR]

In climatically suitable regions across Europe, vineyards can be the dominant perennial crop type. While many wine-growing landscapes are intensively managed, they may still be an attractive habitat for a wide range of bird species. In this study we investigated how breeding birds in three wine-growing regions in Europe (Germany: Palatinate, France: Bordeaux, Austria: Leithaberg) are influenced by the composition of the landscape, focussing on woody semi-natural vegetation. We recorded bird vocalizations with autonomous sound recorders in 93 landscapes across Europe. Bird species were identified according to their songs and calls. The landscape in a 200-m buffer around the recording points was mapped. In total, we recorded 72 bird species, including species typical for vineyard landscapes such as cirl bunting (Emberiza cirlus), hoopoe (Upupa epops) and turtle dove (Streptopelia turtur). For all three countries we found that an increase in overall woody vegetation in the landscape led to an increase in species richness and altered community composition. Most species were recorded in landscapes with abundant hedges, small woods and tree rows rather than in vineyard-dominated landscapes but e.g. woodlark (Lullula arborea) and linnet (Linaria cannabina) showed an opposite preference. We conclude that in intensively used wine-growing landscapes the ongoing decline in farmland birds and the ecosystem services they provide can be reversed by the reintroduction of semi-natural woody vegetation between vineyards. These in frequently many cases linear structural elements can be established included in the landscape with only small losses in production area. [ABSTRACT FROM AUTHOR]

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This study, spanning 37 years, assessed the diversity of grasshopper communities across much of the Pampas region. Ninety-five sampling sites were established in Buenos Aires and La Pampa provinces. Five zones were defined: Northeast (NE), Northwest (NW), Southeast (SE), Southwest (SW), and West (W). Each site was categorized according to the dominant vegetation. A total of fifty grasshopper species from three families were collected. Acrididae was the most diverse (41 species). Rarefaction analysis indicated that the SE was the zone with the lowest species richness (Q0). The NE, SW, and W showed higher diversity (Q1), while NE was less diverse according to Q2. The PCA revealed varying abundances of species across zones, with some species more abundant in specific areas (e.g., Dichroplus maculipennis and Borellia bruneri in SE). The highest species count (50) was in grassland with grass dominance. The CA showed significant associations between grasshopper species and different grasslands (e.g., Covasacris pallidinota, Dichroplus maculipennis, and Parorphula graminae in Halophilous grassland). Beta diversity highlighted species turnover as key component in the SW, W, and NE, while in the SE it was nestedness. In the NW, turnover and species loss components affected beta diversity. Communities were dominated by a few species, with three or four species representing over 50% of the community. Some abundant species declined or disappeared over time, while others appeared later. These results provide the first quantitative analysis of the grasshopper fauna across much of one of South America's most heavily modified ecosystems, the grasslands of the Argentine Pampas region. Implications for insect conservation: For decades, the Pampas grasslands have been undergoing a significant transformation, with the replacement of grasslands by highly productive agroecosystems. Grasshoppers are among the most abundant insects in grasslands. Therefore, understanding whether this transition to intensive agroecosystems has affected the richness and diversity of grasshoppers is an important question. The results of this study highlight the importance of long-term ecological research (37 years), which has coincided with a period of significant agricultural intensification across the region. This intensification has resulted in a homogenization and fragmentation of natural grasslands, with consequent impacts on associated fauna. The observed trends of this study probably reflect the current state of the grasshopper fauna in the Pampas during the last decades, in an increasingly managed agroecosystem context. [ABSTRACT FROM AUTHOR]

Context: Implementing heterogeneous rural landscapes with high agricultural diversity and a substantial proportion of natural habitats has been proposed to ensure food production while reducing negative impacts on ecosystem services. However, evidence of an increased supply of ecosystem services (ES) in more heterogeneous landscapes remains limited, with no consensus. Objectives: To evaluate the effect of the spatial cropland system’s diversity and landscape configuration on indicators of the supply of ES in agricultural landscapes of the Rio de la Plata Grasslands region. Methods: We analyzed the relationship between indicators of ES supply and the heterogeneity of 1121 microwatersheds. We assessed the Ecosystem Services Supply Index (ESSI), the Hydrological Yield (HY), and the Absorbed Photosynthetically Active Radiation (APAR) in agricultural areas. We calculated the average grassland patch area, the structural and functional cropland diversity, the cropland percentage, and the grasslands’ juxtaposition to assess landscape heterogeneity. Results: Microwatersheds with higher cropland functional diversity showed higher values for indicators of ES supply. They were positively related to the ESSI and APAR, and negatively with HY, indicating positive effects on Carbon gains and water regulation processes. In contrast, grasslands’ juxtaposition had opposite effects to those of cropland functional diversity, so the spatial segregation of grasslands favored the ES supply. Conclusions: Functional cropland diversification and the segregation of natural grasslands improved proxies of ES and counteracted the negative effects of cropland amount. These findings contribute to the design of multifunctional landscapes and suggest that cropland functional diversity and grassland configuration should be considered in food production systems aimed at preserving ES supply. [ABSTRACT FROM AUTHOR]

The complex relationship between water, energy, food, and ecological systems, known as the WEFE nexus, has emerged as a major topic in the debate about sustainable economic development and resource management. This subject is of special interest in Mediterranean coastal areas as rapid economic expansion driven by population growth, higher influx of tourists, and intensification of agriculture is leading to structural water scarcity conditions. However, addressing the diverse range of issues associated with the nexus is a difficult task due to the existence of intricate interconnections, interdependencies, and nonlinearities within and across its various components. Accordingly, this case study applies a combination of participatory systems modeling and network analysis tools to yield insights into the complexity of this nexus in Axarquia, a region with features that make it an example of water-stressed jurisdictions in the Mediterranean. Overall, our results provide a strong foundation to understand the dynamics that govern this nexus in regions where the availability of freshwater resources is a significant concern. Furthermore, they lay the groundwork for the development of models and scenarios to simulate the impact of various policies and interventions on the overall system. [ABSTRACT FROM AUTHOR]

Substantial evidence suggests that biodiversity can stabilize ecosystem function, but how it does this is less clear. In very general terms, the hypothesis is that biodiversity stabilizes function because having more species increases the role of compensatory dynamics, which occur when species in a community show different responses to the environment. Here, we focus on two forms of compensatory dynamics, cross‐scale redundancy (CSR) and response diversity (RD). CSR occurs when species respond to a disturbance at different scales such that scale‐specific disturbances do not negatively affect all species. RD occurs when species contributing to the same function show different responses to an environmental change. We developed a new analytical approach that can compare the strength of CSR and RD in the same dataset and used it to study native bee pollination of blueberry at 16 farms that varied in surrounding agricultural land use. We then asked whether CSR and RD among bee species are associated with the stability of blueberry pollination. Although CSR and RD were both present, only RD was associated with higher stability of pollination. Furthermore, the effects of RD on stability were due to a single widespread species, Andrena bradleyi, that is a specialist on blueberry and, unlike other bee species, was highly abundant at farms surrounded by intensive blueberry agriculture. Thus, the stabilizing effect we observed was attributable to an “identity effect” more than to species richness per se. Our results demonstrate how CSR and RD can be empirically measured and compared and highlight how the theoretical expectations of the biodiversity–ecosystem functioning field are not always upheld when confronted with real‐world data. [ABSTRACT FROM AUTHOR]

Multiproxy data collected from the largest inland wetland in Belize, Central America, demonstrate the presence of large-scale pre-Columbian fish-trapping facilities built by Late Archaic hunter-gatherer-fishers, which continued to be used by their Maya descendants during Formative times (approximately 2000 BCE to 200 CE). This is the earliest large-scale Archaic fish-trapping facility recorded in ancient Mesoamerica. We suggest that such landscape-scale intensification may have been a response to long-term climate disturbance recorded between 2200 and 1900 BCE. Agricultural intensification after 2000 BCE has been credited for supporting the rise of pre-Columbian civilizations in Formative Mesoamerica, but we suggest that some groups relied more heavily on the mass harvesting of aquatic resources. We argue that such early intensification of aquatic food production offered a high value subsistence strategy that was instrumental in the emergence of Formative period sedentarism and the development of complexity among pre-Columbian civilizations like the Maya. [ABSTRACT FROM AUTHOR]

Under the current context of intensive farming, small-horned animals are more suitable for large-scale breeding. The CASP14 gene, closely associated with skin and keratin formation, may influence horn size due to its link with skin development. This study comprehensively analyzed the tissue-specific expression of CASP14 using RNA-Seq data, identified functional sites through whole-genome sequencing (WGS), and investigated allele-specific expression (ASE) validated by KASP assays. Results showed significantly higher CASP14 expression in the scurred group com-pared to the SHE group, with pronounced expression in the skin. Interbreed comparisons also revealed elevated CASP14 levels in the scurred group. Analysis of potential functional sites indicated structural similarities in the CASP14 protein among horned mammals. Five ASE events were discovered, and intersecting these with SNPs and high fixation index loci (Fst > 0.05) identified three potential functional sites: 7941628, 7941817, and 7941830. The SNP site 7944295 was selected for T-test analysis and further validated through KASP assays, corroborating the role of CASP14 in sheep horn phenotypes. Our findings suggest that CASP14 plays a significant role in horn development, offering insights into breeding strategies for small-horned animals. [ABSTRACT FROM AUTHOR]

Simple Summary: Selenium is an essential element in the diet of both humans and animals. By obtaining adequate levels of Se in the animal body, animal products can be obtained that will provide a valuable source of Se in the human diet. The present study investigated the bioavailable selenium content in organs and tissues from beef cattle. Our results show that selenium-deficient animals had a higher percentage of bioavailable selenium in tissues than animals with normal selenium levels. In addition, the highest concentration of bioavailable selenium was found in the kidneys and the highest percentage of bioavailable selenium was found in the muscles. The results of the study indicate that more attention should be paid to selenium supplementation in animals to ensure normal selenium levels during insufficient supply. The aim of the study was to compare the levels of bioavailable Se between different organs in beef cattle with regard to selenium status. The animals were divided into two groups based on serum selenium concentration, viz. normal and deficient Se status. Bioavailable selenium was extracted from the organs by simulated in vitro digestion, and its concentration was determined by spectrofluorimetry. The percentage of bioavailable Se was calculated in the liver, kidney, lung, spleen, heart, and longissimus dorsi muscle, based on the total Se content. In all animals tested, the highest bioavailable selenium concentrations were found in the kidney (0.175–0.408 µg/g) and the lowest in the longissimus dorsi muscle (0.04–0.042 µg/g), regardless of Se status. The highest bioavailability of Se was recorded in bulls, reaching 56.6% in the longissimus dorsi muscle, and the lowest in the kidney (21.4%). The study showed that cattle with Se deficiency had a higher percentage of bioavailable Se in their tissues than those with normal Se levels. This is most likely related to the fact that the body seeks to ensure optimal levels of the element in the organs during insufficient supply. Despite balanced feeding, there was a deficiency of Se. This is most likely related to the fact that, in plants, it occurs mainly in its inorganic form, which is less well-utilised by the animals and does not cover their needs for this element. [ABSTRACT FROM AUTHOR]

Simple Summary: The Liaoning Cashmere Goat is a valuable breed in China, known for its cashmere and meat. To enhance intensive farming efficiency, we developed an intelligent behavior recognition system using deep learning. We compared Faster R-CNN and YOLO algorithms and found YOLOv8n achieved an average accuracy of 95.31% within 50 epochs. Our improvements led to a detection accuracy of 98.11%. The online detection system offers real-time monitoring, reducing manual labor and improving animal welfare, benefiting the livestock industry. Liaoning Cashmere Goats are a high-quality dual-purpose breed valued for both their cashmere and meat. They are also a key national genetic resource for the protection of livestock and poultry in China, with their intensive farming model currently taking shape. Leveraging new productivity advantages and reducing labor costs are urgent issues for intensive breeding. Recognizing goatbehavior in large-scale intelligent breeding not only improves health monitoring and saves labor, but also improves welfare standards by providing management insights. Traditional methods of goat behavior detection are inefficient and prone to cause stress in goats. Therefore, the development of a convenient and rapid detection method is crucial for the efficiency and quality improvement of the industry. This study introduces a deep learning-based behavior recognition and online detection system for Liaoning Cashmere Goats. We compared the convergence speed and detection accuracy of the two-stage algorithm Faster R-CNN and the one-stage algorithm YOLO in behavior recognition tasks. YOLOv8n demonstrated superior performance, converging within 50 epochs with an average accuracy of 95.31%, making it a baseline for further improvements. We improved YOLOv8n through dataset expansion, algorithm lightweighting, attention mechanism integration, and loss function optimization. Our improved model achieved the highest detection accuracy of 98.11% compared to other state-of-the-art (SOTA) target detection algorithms. The Liaoning Cashmere Goat Online Behavior Detection System demonstrated real-time detection capabilities, with a relatively low error rate compared to manual video review, and can effectively replace manual labor for online behavior detection. This study introduces detection algorithms and develops the Liaoning Cashmere Goat Online Behavior Detection System, offering an effective solution for intelligent goat management. [ABSTRACT FROM AUTHOR]

Societal Impact Statement Summary Agricultural intensification is a major driver of biodiversity decline in agrosystems. For instance, it has been shown that conventional farming leads to a decline in soil microbial diversity and triggers a strong selection process, altering the functioning of the whole ecosystem. The present study shows that organic farming increases diversity and affects composition of crop plant microbiota, mostly as a response to field management and soil characteristics. Furthermore, crop plant microbiota influences crop production and resistance to pathogens. Therefore, agricultural practices affect plant performance through microorganism‐mediated changes, which may be important pillars of future sustainable crop production. Agricultural intensification threatens biodiversity, but the effects of intensification on microorganisms are still overlooked despite their role in ecosystem functioning. Microorganisms associated with plants provide many services that affect plant growth and health. Organic farming is expected to strongly affect species composition, richness, and their interactions. We analyzed the effect of the farming system on endophytic microbial assemblages associated with winter wheat plants and plant performance in the field. We collected environmental data through farmer interviews, soil analyses, and plant inventories and analyzed root microbiota at vegetative and flowering stages. Organic farming increased fungal and bacterial diversity associated to wheat plants and affected species composition in most phyla. This effect was mostly due to soil characteristics and field management and a little to plant diversity in the field. Microbial responses were more pronounced at the late developmental stage, likely as a result of accumulative effect of management actions during plant development. Seed production and resistance to pathogens were related to specific phyla that are important for seed production and/or wheat resistance to septoriose. This work advances our understanding of how agricultural practices affect plant performance through microorganism‐mediated changes and supports the use of microorganisms as pillars of sustainable crop production. [ABSTRACT FROM AUTHOR]

Agricultural intensification is driving declines in pollinator diversity and the degradation of pollination services worldwide. Organic management, which prohibits the use of synthetic inputs, has considerable potential for combatting these declines by enhancing biodiversity in agricultural landscapes. However, the efficacy of organic farming for promoting pollinator diversity has recently been questioned. We conducted a meta‐analysis to determine the effect of organic management on pollinator species richness and abundance. We compiled 42 studies across four continents and calculated a Hedges' g effect size for each of 76 species richness and 57 abundance observations. We then estimated average effect sizes overall and across five moderators. Species richness and abundance of pollinating insects tended to be higher in organic farms than conventional ones, with average effect sizes of 0.68 and 0.74, respectively. Landscape context, crop type, pollinator group, sampling location, and sampling method were factors impacting the response of pollinator diversity/abundance to organic farming. We found benefits for pollinator diversity from organic farming in all landscape types, with the strongest response in simple compared with more complex landscapes. Pollinator diversity benefited the most in habitats within organic cereal systems and the least in organic pastures. Among pollinator groups, bumblebee diversity benefitted the most, while moths and hoverflies showed positive but non‐significant responses. Higher pollinator diversity/abundance was detected in organic farms at various sampling locations. Transect sampling showed the greatest diversity gains among sampling methods. Synthesis and applications. Our results affirm that organic farming has positive effects for pollinator species richness and abundance, but benefits are variable and not guaranteed. We recommend that future studies adopt a standard sampling protocol and cover a larger geographic range to understand the global potential of organic farming to promote pollinator biodiversity. Efforts to increase pollinator abundance and diversity through organic farming should focus on organic systems involving cereal phases, especially within simple landscapes, for the most positive outcomes. However, due to high variability in pollinator responses alongside the challenges to achieve economic profitability from organic farming, crafting organic farming systems to specific farm‐scale opportunities and needs may be necessary. [ABSTRACT FROM AUTHOR]

Agri-food systems are called upon to undergo profound transformation. The development of “flow approaches” (including lifecycle assessment, carbon footprint, ecological footprint, and metabolism methodologies) has been crucial to point to the material side of human activities. More specifically, these approaches highlight the material and energetic costs of long agri-food value-chains, intensive farming practices, high levels of geographic specialization, as well as the production of non-food commodities. In the logical progression from diagnosis to action, flow approaches are currently being used as decision-support tools. But what are the biases induced by flow approaches when it comes to supporting real-world transformations? Based on our experience and interdisciplinary background, we argue that flow approaches provide a decontextualized and narrow framing of issues related to agri-food systems, such as accumulations and transfers across space and time, inequalities and asymmetries along the chain of activities, or long-lasting environmental impacts. Some aspects are measured and emphasized, while others are difficult to observe or neglected. Flow approaches, alone, are not well suited to inform issues of environmental justice, radical transformation, and local governance. As in most cases methodological advances will not suffice to overcome the biases induced, we call for hybridizing methods and for broadening analytical perspectives. [ABSTRACT FROM AUTHOR]

Cichlidogyrus spp. are dactylogyridean ectoparasites of wild cichlids and cultured Nile tilapia that occur in several regions worldwide. They can be abundant in intensive Nile tilapia culture and cause mild to severe gill pathogenic effects that frequently are overlooked. From January to June 2018, a follow-up study was conducted on an intensive farm where 360 Nile tilapia were sampled and analyzed throughout a six-month culture cycle. During the survey, a population of monogeneans was observed to increase steadily over the course of the production cycle. To corroborate the status of these parasites, 13 additional farms were visited from January to April 2020, where a total of 130 Nile tilapia were examined. This secondary sampling aimed to identify and corroborate the dominant monogenean species and the infection dynamics, including the associated histopathological damages. Nine species of the genus Cichlidogyrus (Cichlidogyrus sp. C. bifurcatus, C. dossoui, C. halli, C. haplochromii, C. longicornis, C. sclerosus, C. thurstonae and C. tilapiae) were recovered from the gills and identified. Overall, Cichlidogyrus sclerosus was the most prevalent and abundant parasite. Also, significant differences were found in the monthly prevalence and intensity of C. sclerosus, especially in the fourth month of culture when the population peaked (Chi-square, p < .001; p < .001, respectively). Correlations were observed between temperature, nitrite, and C. sclerosus intensity. Four left gill arches of 130 Nile tilapia collected in the farms were removed and fixed at 10% formalin for histopathological examination. Histological alterations in gills tissues were graded by severity scores. Gills, at the site of monogenean attachments, showed mucus secretion, hyperplasia, hypertrophy, and lamellar fusion involving mucous cells, depending on the intensity of the damage. [ABSTRACT FROM AUTHOR]

This study aimed to investigate the present scenario of chicken husbandry and breeding practices in the rural districts of Sidama Region, southern Ethiopia. Four districts, namely Hula, Shebedino, Aleta Chuko, and Boricha were purposefully selected based on their chicken production potential and agroecological distinctiveness. The study data were collected from 161 chicken‐keeping households through interviews, on‐farm follow‐ups, group discussions, and field observations. Descriptive statistics and indexed ranking procedures were applied to summarize the data using SAS software. The chicken farming system was predominantly free‐scavenging, followed by slowly growing semi‐intensive and few intensive farming systems. The majority of rural farmers were keeping chickens primarily to support family income and for home use. A decreasing flock size of indigenous chickens and an increasing trend of improved chicken distribution and rearing were observed. It has been noted that farmers have a good experience of selecting hatching eggs, breeding cocks, and hens. In highland districts, pure breeding is common, while in midland and lowland districts, crossbreeding is more common due to the high distribution of exotic breeds. In all study districts, chickens mainly rely on scavenging with minimal feed supplementation and sit on simple perches fixed in family houses and kitchens. More than 65% of farmers use various traditional medications that were known by farmers to cure sick chickens. Furthermore, the study identified seasonal feed shortages, disease outbreaks, unplanned breeding, limited management knowledge, predators, and drought as major bottlenecks to chicken production. Thus, these findings could raise guiding information to improve small‐scale chicken husbandry and breeding practices, which help poor rural families, and the major bottlenecks to ensure sustainable poultry farming were identified. Moreover, the high mortality of chickens observed during peak dry and wet seasons in the Boricha and Hula districts, respectively, calls for further research on the adaptation potentials of chickens in their respective ecologies. [ABSTRACT FROM AUTHOR]

The dynamics of the water table is an important control on the connection of groundwater to land surface processes. Agricultural intensification has resulted in a significant decline in the groundwater table in the eastern part of the Sanjiang Plain, China. This decline may have caused significant changes in groundwater recharge and circulation, with implications for natural resources and the environment. In this study, hydrogeological (hydraulic head observations, unsaturated zone lithology), hydrochemical (major ions, redox-sensitive parameters, metasilicic acid) and isotopic (δD and δ18O) data was interpreted through spatial analysis, scatter plots and multivariate statistical methods to construct a conceptual model of shallow groundwater circulation in the Sanjiang Plain following decades of agricultural development. The distribution of the hydraulic head clarified the direction of groundwater flow, and the stable isotope compositions confirmed that shallow groundwaters mainly originated from precipitation and river water. Shallow groundwater levels and enriched groundwater isotopic compositions along the Songhua River and in the upper reaches of the Naoli River indicated some influence by evaporation. The relatively high nitrate concentration and coupling of isotope characteristics showed that sandy unsaturated zones enabled groundwater to be easily influenced by land surface processes. In the Jiansanjiang District and Naolihe Basin, the clayey unsaturated zones inhibited the connection between groundwater and the surface. Redox-sensitive components indicated that the groundwater features a reducing environment and weak groundwater update capability. If the current rate of exploitation continues in the Jiansanjiang District, the groundwater levels will continue to decline. [ABSTRACT FROM AUTHOR]

Soil microbiota in intensive agriculture are threatened by pesticides, economic activities, and land‐use changes. However, the interactions among these anthropogenic factors remain underexplored. By analyzing 2356 soil metagenomes from around the world, we developed a comprehensive soil health‐microbial index that integrates microbial diversity, nutrient cycling potential, metabolic potential, primary productivity, and health risks to assess how the soil microbiota respond to anthropogenic factors. Our results indicated that the health‐microbial index was the lowest with severe pesticide contamination. Pesticides, in combination with other anthropogenic and climatic factors, exacerbate the decline in this index. Machine learning predictions suggest that the health‐microbial index in approximately 26% of global farmland could decline between 2015 and 2040, even under sustainable development scenarios. Even with strategies to reduce pesticide usage, we cannot completely halt the decline in the health‐microbial index. Our findings highlight that sustaining soil microbial health on a global scale requires addressing not only pesticide management but also broader anthropogenic impacts. [ABSTRACT FROM AUTHOR]

Over the last decades, wolves have considerably expanded their distribution in Europe. Their range expansion even led to recolonizing densely human‐populated countries such as Belgium and the Netherlands. The few available studies on the effects of returning wolves in these landscapes focus primarily on the behavioral responses of wild ungulates, such as deer. While livestock in intensive farming practices can be protected against wolves, free‐ranging cattle in nature areas often have to protect themselves. How these cattle respond to the returned wolves is thus far unclear, yet highly relevant for conservation management. There is very little information about how free‐ranging cattle respond to the re‐appearance of wolves in terms of anti‐predator behavior and ability to defend themselves. In June 2022, a newly established wolf pair was located in a natural area in Drenthe. This natural area is grazed year‐round by free‐ranging Galloway cattle, a small and hornless primitive breed commonly used in conservation management. Here, we reported on the behavioral responses of the herd following two wolf attacks that occurred at nighttime in April 2023, the first caught on wildlife cameras in the Netherlands. During these events, the Galloways showed a clear behavioral response: they became active, restless and vigilant, and showed grouping behavior, presumably to protect the calves. Chasing behavior towards the attacking wolf was even exhibited by some individuals. The reported attacks did not result in killed or injured cattle. These two well‐documented wolf–cattle interactions show promising information as they highlight anti‐predator behaviors from an unexperienced cattle breed, all within a year of the wolves' return. We broadly discuss the relevance of these findings for grazing management, including selection for breeds, anti‐predator behaviors, and impact of herd structure and size, and we provide avenues for future research to address current knowledge gaps. [ABSTRACT FROM AUTHOR]

Insect biodiversity and abundance declines have been reported widely and are expected to alter ecosystem functions and processes. Land use change has been recognised as a major cause of such declines.However, variation in local environmental drivers and the scale of available monitoring data have left large knowledge gaps in which taxa are declining, where declines are the greatest, and how these declines will impact ecosystems.We used 11 years (2006–2016) of monitoring data on 40 farms distributed over ~10,000 km2 in southern Québec, Canada, to quantify the impact of agricultural intensity on temporal trends in abundance and biomass of Diptera (true flies).There was a large difference in temporal trends between farms, which we found to be driven by agricultural landcover.Contrary to expectation, increases in Diptera abundance over time were greater in areas with higher agricultural intensity, especially with an increase in cereal crops. In contrast, declines in biomass were steeper in areas of higher agricultural intensity, although only with greater maize and soy production rather than cereals such as wheat.Variation in forest cover around farms had the least effect on trends.We found steeper declines in biomass per total number of Diptera with increasing agricultural intensive cover, suggesting the presence of community turnover towards smaller bodied flies with lower individual biomass.Our results imply that land use may not only alter abundance and species composition of insect species assemblages but also the distribution of key functional traits such as body size. [ABSTRACT FROM AUTHOR]

Insect abundance and diversity appear to decline rapidly in recent decades, garnering significant media attention, and hence raising public awareness.Macro‐moths—a species‐rich and ecologically diverse insect group—face severe declines, particularly in urbanised and intensively farmed areas in NW Europe.Flanders is a highly anthropogenic region, serving as a case study where the impact on macro‐moths of stressors like intensive agriculture, industrialisation and urbanisation has been quantified through a recently compiled Red List. Here, for 717 macro‐moth species, we calculated relative changes in distribution area between a reference period (1980–2012) and the subsequent period (2013–2022). By correlating these species‐specific trends with 10 key ecological and life history traits, we calculated more general Multi‐Species Change Indices (MSCIs).These MSCIs showed that species associated with wet biotopes and heathlands declined on average by 20%–25%, while (sub)urban species increased by more than 60%. Species feeding on lichens or mosses increased by 31%, while grass‐feeding species decreased by 20%. Both very small (+34%) and very large species (+15%) increased, whereas medium‐sized species decreased by 5%. Monophagous (+17%), migrant (+88%) and colour‐invariable species (+5%) increased, while colour‐variable species decreased (−8%). Finally, Holarctic (−21%) and Palaearctic species (−5%) decreased, while Mediterranean (+27%) and Western‐Palaearctic species (+9%) increased.Our trait‐based approach identifies key threats and mitigation strategies for moths in anthropogenic regions, offering evidence‐based insights for crafting efficient management recommendations and informed conservation policies to safeguard moth communities. [ABSTRACT FROM AUTHOR]

This study investigates the ecology of three threatened butterfly species on a 60 km2 site in Gotland, Southeast Sweden, using mark–recapture methods from 2017 to 2020.Nearly 30,000 captures were recorded, with average lifespans of 6 days for Euphydryas aurinia (Lepidoptera: Nymphalidae) and Parnassius apollo (Lepidoptera: Papilionidae) and 2 days for Phengaris arion (Lepidoptera: Lycaenidae).Population size, density and maximum flight distances varied between species, with E. aurinia at 7.2 km, P. apollo at 6.4 km and P. arion at 2.5 km.Movement data showed the lognormal kernel fit better than gamma, negative exponential and half‐normal kernels for distance travelled per time unit across species and sexes.Generalised linear models revealed significant positive density‐dependent emigration and negative density‐dependent immigration in all three species.Despite available suitable habitats, these species face threats from limestone quarry expansions, agricultural intensification, modified forestry practices, natural succession and climate change, highlighting the need for proactive conservation and strategic habitat management. [ABSTRACT FROM AUTHOR]

Crop diversification offers numerous synergistic advantages over intensive monocultures via belowground interspecific interactions. The plant–soil–microbiome interactions that trigger cascading effects underpin the benefits of crop diversification. Unlocking the potential of cascading effects in diversified cropping systems can alleviate common obstacles in intensive monoculture farming. Strategically selecting species and varieties that complement and facilitate one another can enhance agricultural productivity with fewer agrochemical inputs. Crop diversification practices offer numerous synergistic benefits. So far, research has traditionally been confined to exploring isolated, unidirectional single-process interactions among plants, soil, and microorganisms. Here, we present a novel and systematic perspective, unveiling the intricate web of plant–soil–microbiome interactions that trigger cascading effects. Applying the principles of cascading interactions can be an alternative way to overcome soil obstacles such as soil compaction and soil pathogen pressure. Finally, we introduce a research framework comprising the design of diversified cropping systems by including commercial varieties and crops with resource-efficient traits, the exploration of cascading effects, and the innovation of field management. We propose that this provides theoretical and methodological insights that can reveal new mechanisms by which crop diversity increases productivity. [ABSTRACT FROM AUTHOR]

Giant freshwater prawn (Macrobrachium rosenbergii (MR)) is a significant aquafarm species commercially cultured in Taiwan. Intensive farming practices have led to the outbreak of Lactococcus garvieae (LG), which causes Lactococcosis in MR. Recently, LG has re‐emerged and the number of mortalities in prawn farms has increased in Taiwan. However, there is no preventative strategy described and a lack of knowledge on virulence factors and pathogenesis from LG in MR. The most virulent strain of L. garvieae from M. rosenbergii was screened in vivo among seven isolates selected for infectivity testing injecting 0.1 mL of 108 CFU/mL bacterial concentration. Among the seven isolates screened, L. garvieae 109‐6 resulted in 100% mortality within 3 days post‐infection. Furthermore, 109‐6 L. garvieae LD50 dosage from in MR was found to be 106 CFU/mL. Subsequently, the most virulent strain 109‐6 was sequenced using MinIon Nanopore sequencing. Results indicated that the LG genome yielded a protein‐coding of 3857 with 59 tRNA and 16 rRNA and no plasmid. Interestingly, the distribution of subsystems in the annotated genome revealed genes related to virulence, defence, and disease among LG 50 genes. Altogether, the virulent strain and its genome data revealed distinctive features of LG, which hinted toward its pathogenicity and could facilitate for better preventive strategies. [ABSTRACT FROM AUTHOR]

The intensive broiler farming model has accelerated the development of the poultry farming industry. However, it has also inevitably brought about many stressors that lead to oxidative stress in the organism. The intestine is the leading site of nutrient digestion, absorption, and metabolism, as well as a secretory and immune organ. Oxidative stress in animal production can harm the intestine, potentially leading to significant losses for the farming industry. Under conditions of oxidative stress, many free radicals are produced in the animal's body, attacking the intestinal mucosal tissues and destroying the barrier integrity of the intestinal tract, leading to disease. Recently, herbs have been shown to have a favorable safety profile and promising application in improving intestinal oxidative stress in poultry. Therefore, future in-depth studies on the specific mechanisms of herbs and their extracts for treating intestinal oxidative stress can provide a theoretical basis for the clinical application of herbs and new therapeutic options for intestinal oxidative stress injury during poultry farming. This review focuses on the causes and hazards of oxidative stress in the intestinal tract of poultry, and on herbs and their extracts with therapeutic potential, to provide a reference for developing and applying new antioxidants. [ABSTRACT FROM AUTHOR]

Agricultural land in China represents a major source of nitrous oxide (N2O) emissions, and as population growth and technological advancements drive agricultural intensification, these emissions are projected to increase. A thorough understanding of historical trends and future dynamics of these emissions is critical for formulating effective mitigation strategies and advancing progress toward the Sustainable Development Goals. This study quantifies N2O emissions across 31 provinces in China from 2000 to 2021, employing the IPCC coefficient method alongside China's provincial greenhouse gas inventory guidelines. The spatiotemporal evolution of emission intensities was examined, with the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model employed to assess the influence of population, technological development, economic growth, and energy structure. The findings confirm that agricultural land remains the primary source of N2O emissions, with significantly higher levels observed in eastern coastal regions compared to western inland areas. Implementing targeted mitigation strategies, such as enhanced agricultural- and manure-management practices and region-specific interventions, is imperative to effectively curb the rising emission trends. [ABSTRACT FROM AUTHOR]

Phosphorus (P) is an important soil element for sustaining plant growth and the integrity of terrestrial ecosystems, and the soil P cycle is strongly influenced by climate change and agricultural activities. However, little is known about how soil P has evolved with climate change and intensive agriculture at mid‐high latitudes, where the soil P cycle is sensitive to climate change. To answer this question, an ecohydrological model (EcoHAT‐P) driven by remote sensing data was used in this study to calculate soil P concentration and loss and was calibrated and validated using 272 soil samples collected in the Sanjiang Plain, a typical mid‐high latitude region with a long history of strong agricultural activity. Soil P concentration and loss, and plant uptake of soil P, were analyzed for the years 2000–2019 and 2020–2040. The results showed that soil total P, soil P loss, and plant P uptake all increased under intensive agriculture. The soil P cycle at mid‐high latitudes was more sensitive to temperature than to precipitation. Increased temperature would increase soil P loss and plant P uptake by 93.94% and 8.16%, respectively, and soil legacy P from intensive agriculture would become the main source even if external P inputs were eliminated. The results highlight the evolution of soil P transport at mid‐high latitudes and clarify the response of soil P cycle to climate change under intensive agriculture. [ABSTRACT FROM AUTHOR]

The need for antibiotics in commercial laying hens is increasing owing to intensive farming systems. Amoxicillin trihydrate (AMX), an aminopenicillin β-lactam antibiotic, exerts broad bactericidal activity. However, its short half-life necessitates frequent administration to ensure efficacy, thus limiting its use. Herein, we investigated the effect of concurrent administration of bromhexine hydrochloride (BRM), a mucolytic agent, on AMX pharmacokinetics, performing a comparative pharmacokinetic analysis of AMX administration alone and in combination with BRM. AMX (50 mg/kg) was administered by oral gavage once daily for three days alone or in combination with 10 mg/kg BRM. Plasma and egg samples were collected to evaluate pharmacokinetic profiles and egg residues. The area under the curve and maximum plasma concentration values were significantly higher in the AMX + BRM group than the AMX only group. However, there were no significant differences in AMX half-life in the elimination phase (T1/2), elimination rate constant (kel), or apparent clearance (CL/F) values. In the egg residue study, the withdrawal period for AMX was 5 days in both groups, with no significant difference when using the maximum residue limit (MRL) of 10 μg/kg. The concentration of BRM in the eggs remained at 100 μg/kg up to the fourth day following drug administration. Conclusion: These results confirmed that BRM co-administration increased systemic exposure to AMX, with a negligible residual impact of amoxicillin in eggs. [ABSTRACT FROM AUTHOR]

This paper discusses the evolution of human settlement in ancient Macedonia from the Neolithic to the Late Roman periods, based on the results of a new multi-disciplinary and multi-scale archaeological survey in northern Grevena (NW Greece). Building upon an unpublished (legacy) survey, we developed a GIS-structured workflow that integrates site-revisiting and surveying strategies (material collection and test pits) with multi-temporal remote-sensing analyses, offering analytical information about site distribution, characterisation, dating, and taphonomy. Notably, the new study led to a 64% increase in the number of known sites. The combined results indicate that prehistory is less represented in the surface record than historical periods, likely due to the impact of soil erosion episodes. The Late Bronze Age and Early Iron Age saw increased site numbers and the emergence of a settlement structure that characterised the area until the Hellenistic period. During the Roman period, the pattern shifted from a seemingly limited use of the landscape towards a model of more extensive habitation. This was driven by the appearance of new rural sites that introduced a land-use regime designed to support agricultural intensification by implementing anti-erosion measures, such as field terraces. [ABSTRACT FROM AUTHOR]

BACKGROUND: A major impact of invasive Myocastor coypus in their introduction range is the collapse of riverbanks and nearby infrastructure, such as railway lines, due to the species' burrowing activities. Because widespread implementation of preventive measures along watercourses is unfeasible, identifying susceptible areas is key to guide targeted management actions. This study used species–habitat models to: (i) identify local environmental features of the railway line/watercourse intersections (RLWIs) that make them particularly susceptible to coypu damage, and (ii) predict species occurrence probability over a wide lowland–hilly area of northern Italy (Lombardy) to identify priority areas for monitoring. RESULTS: Local‐scale models identified that the RLWIs most susceptible to burrowing were those surrounded by arable land with interspersed hedgerows locally characterized by high herbaceous vegetation and clay soil. In urbanized areas and areas of intensive agriculture, coypu dens were generally located significantly closer to the railway, increasing the risk of collapse. A landscape‐scale species distribution model showed that lowland areas along major rivers and lake shores, and also agricultural areas with a dense minor hydrographic network, particularly in the southeast of the study area, are more likely to be occupied by coypu. CONCLUSION: Local‐scale models showed that specific environmental characteristics increase the risk of burrowing near RLWIs. The landscape‐scale model allowed us to predict which areas require thorough monitoring of RLWIs to search for such local characteristics to implement preventive management measures. The proposed model‐based framework can be applied to any geographical context to predict and prevent coypu damage. © 2024 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

Early life experiences can have lasting impacts on an animal's development. Extensive research evidence aligns across both human and non-human rodent and primate laboratory animals showing negative impacts of early life adversity such as impairments in neurological and behavioural development. Farmed animals experience a range of adversities across their production lifetimes, often early in life, including species atypical social groupings, invasive husbandry procedures, and transport. Correspondingly, farmed animals also demonstrate a wide range of impairments such as stereotypic, injurious, and other abnormal behaviours. An individual, however, needs to experience adversity to be able to develop resilience and coping mechanisms that facilitate dealing with challenges later in life. Not all individuals will experience stress vulnerability following adversity, with some individuals instead developing stress resilience. This mini review collates evidence on the positive effects of early life adversity on improving adaptability in farmed species, both terrestrial and aquatic. While evidence across farmed animal species is currently much less than for humans, laboratory rodents or non-human primates, similar patterns emerge where mild adversity early in life, can improve the adaptability of the animal in the face of future stressors. Many views of optimised welfare posit that farmed animals should be housed in as natural environments as possible to limit many of the typical adversities they face. However, strategic mild exposure to early life adversity may facilitate improved animal welfare under intensive commercial farming conditions. Future research into this area could provide management tools to better predict and promote stress resilience over stress vulnerability. [ABSTRACT FROM AUTHOR]

Abstract\nHIGHLIGHTSMicronutrient deficiency is a critical obstacle to producing healthy groundnut crops, achieving sustainable yield and quality. Groundnut (Arachis hypogaea L.), popularly known as ‘peanut,’ is a vital edible oilseed crop across the world. However, achieving optimal groundnut yield and quality is challenging due to various factors, including micronutrient deficiencies arising due to imbalanced nutrient management in intensive agriculture. This led to global nutritional insecurity. Currently micronutrient deficiency in groundnut is addressed by soil application of individual elements, which has efficiency of less than 3%. A Combined foliar micronutrient mixture would be a practical, easy to apply solution for swiftly correcting multiple micronutrient deficiencies during critical crop growth stages. This approach allows for targeted nutrient delivery directly to the foliage for quicker absorption, bypassing soil limitations. Field experiments were conducted in summer irrigated groundnut during 2019 and 2020 in Coimbatore district, Tamil Nadu, India to evaluate the performance of four different grades of newly developed foliar micronutrients on groundnut yield and quality. The MN grades ranging from I to IV were assigned to increasing concentration of Zn, Fe, Mn, Cu and B levels. Experiment laid in split plot design, replicated thrice with four micronutrients grades as the main plot and four different foliar spray timings as sup plots. Concentration of micronutrients and spray timings significantly influenced the groundnut pod and stover yields. Among the four micronutrient grades tested, the Grade IV mixture with highest concentration of all constituent ((Zn, Fe, Mn, Cu and B) micronutrients that sprayed twice at the vegetative and flowering stages recorded significantly highest stover (4120 kgha−1) and pod yield (2806 kgha−1). This optimal combination resulted an increment of 12–13% pod yield, 37–43% in kernel yield, 17–18% in oil content and 39–33% soluble protein content of groundnut over the control with no supply of micronutrient. Future research may explore integrating soil application and foliar spray of micronutrients for enhanced sustainability. Foliar micronutrient formulation can address multiple micronutrient deficiencies in groundnut crops during their active growth stages, overcoming all soil limitations and ensuring sustainable yield and high quality groundnut for nutritional security.Performance of four newly developed foliar micronutrient mixtures for groundnut were field studied during 2019 and 2020 with different spray timings. The objective was to identify the most effective combination to address the multi micronutrient deficiency of groundnut crop in Tamil Nadu and launch it as a product ‘Groundnut Foliar MN Mix’ of Tamil Nadu Agricultural University. The micronutrient grades ranging from I to IV were assigned to increasing concentration of Zn, Fe, Mn, Cu and B levels. The Grade IV micronutrient foliar mixture sprayed twice during vegetative and flowering stage was more effective in alleviating the deficiency and improving the 37–43% in kernel yield and 17–18% in oil content over the control with no supply of micronutrient. [ABSTRACT FROM AUTHOR]

The world's oceans are largely free from intensive farming, but momentum to intensify and expand mariculture--the cultivation of aquatic organisms in the ocean--is growing. Despite optimism that mariculture will create economic and nutritional benefits for humans, it can also generate a host of risks, including environmental degradation, harms to wildlife integrity and welfare, captivity effects, and shifts in how humans view the nonhuman world. Collectively, we refer to these four types of risks as "dewilding." In this systematic review, we searched Scopus and Web of Science for recent literature documenting mariculture's dewilding impacts to organize and collate this evidence under one unified framework. We find that mariculture's dewilding impacts are consistently documented, though often in isolation, and that captivity and conceptual dewilding impacts are recognized as potential harms far less than impacts on the environment and wildlife. Future work examining mariculture's dewilding impacts will be paramount to guiding human decision-making and activity going forward. [ABSTRACT FROM AUTHOR]

Simple Summary: The prevalence of foreleg distal asymmetry and its relationship with the size of the feed bunk were studied in two farms (G60 and G100) in northern Mexico. The prevalence was 27.6% (G60: 31.4%, G100: 22.4%); principal component analysis revealed that the weight variables associated with leg diseases were the farm (G60) and three out of twelve pens in G100. Furthermore, the analysis indicated that the weight variables for leg diseases were the farm (G60) and three out of twelve pens in G100. The prevalence was related to the width of the feed bunks and the width of the manure crust on them. The proper cleaning of feed bunks and their adequate design and construction are strategies that can reduce lameness and premature culling of cows. Leg torsion and distal asymmetry (LTDA) among cows reared on intensive farms in the Comarca Lagunera region of northern Mexico may be indicative of underlying health concerns. To ascertain whether the incidence of LTDA is associated with trough measurements and with productive, reproductive, and disease variables, the prevalence of LTDA was determined in lactating dairy cows. The data were derived from two intensive dairy farms in northern Mexico (G60: 2043 cows in 13 pens with 142.0 m of linear feed bunk space and 65.0 m of pen depth; G100: 2227 cows in 12 pens with 215.0 m of linear feed bunk space and 49.0 m of pen depth). The cows were observed over the course of a week to identify any macroscopic lesions indicative of LTDA. Cows exhibiting lesions were assigned a value of "1", while those without lesions were assigned a value of "0". Furthermore, data regarding other limb diseases (LDs) were collected and subjected to analysis. A comparison was conducted to ascertain the impact of reproductive, productive, and feed bunk size variables on the prevalence of LTDA and other LDs. To ascertain the prevalence of LTDA and LDs, a chi-squared test was employed. The prevalence of LTDA was found to be 27.6% (G60: 31.4%, G100: 22.4%). No association was identified between LTDA and the variables included in the study. However, a correlation was identified between LDs and the following variables: total width, distance from the edge, width from the feed bunk to the tramp, and the presence of a manure crust on the walls. Principal component analysis (PCA) was conducted to examine the correlation between LDs and various factors at the farm and pen levels. The findings indicated that the distance from the feed bunk to the trough, the presence of manure crusts on the walls, and the breeding time were associated with LDs in G100, as well as in three of the twelve pens (302, 306, and 308) within G100. The findings suggest that the prevalence of LDs is associated with an increase in the width of the feed bunk and the width of the manure crust on the walls, particularly in pregnant cows. The results permit the conclusion that LTDA and LDs are associated with the measurements of the feed bunks, the absence of manure cleaning of the feed bunks, and gestation. This association gives rise to significant health issues for Holstein cows on these farms, with more than one in four cows affected. To reduce the prevalence of LTDA in lactating dairy cows, it is recommended that the standard measurements for feed bunk design be adhered to. This will reduce the prevalence of LTDA and LDs, promote the cleaning protocols to avoid the accumulation of manure crusts, and facilitate close monitoring of pregnant cows, thereby alleviating the impacts of these foot pathologies on animal welfare. [ABSTRACT FROM AUTHOR]

The large yellow croaker (Larimichthys crocea) is an important economic fish in China. However, intensive farming practices, such as high stocking densities, suboptimal water quality, and imbalanced nutrition, have led to a decline in muscle quality. Muscle elasticity is a key texture property influencing muscle quality. Herein, transcriptomic and metabolomic analyses were performed on four groups: male high muscle elasticity (MEHM), female high muscle elasticity (MEHF), male low muscle elasticity (MELM), and female low muscle elasticity (MELF), to explore the molecular regulation underlying muscle elasticity in the large yellow croaker. Transcriptomics identified 2594 differentially expressed genes (DEGs) across the four groups, while metabolomics revealed 969 differentially expressed metabolites (DEMs). Association analysis indicated that the valine, leucine, and isoleucine biosynthesis pathways were significantly enriched between the MELF and MEHF groups; 2-Oxoisovalerate and L-Valine were DEMs; and the gene encoding L-threonine ammonia-lyase was a DEG. In the MELM and MEHM groups, pathways such as arginine biosynthesis; arginine and proline metabolism; and valine, leucine, and isoleucine degradation were significantly enriched. 4-guanidinobutanoate, L-aspartate, N-acetylornithine, and L-leucine were among the DEMs, while the DEGs included glul, gls, srm, hmgcs, and aacs. These findings provide insights into the molecular mechanisms controlling muscle elasticity, representing a theoretical foundation to breed high-quality large yellow croakers. [ABSTRACT FROM AUTHOR]

Meat goose can represent one of the most significant economic waterfowl in China. An excessively high stocking density can reduce the production performance and welfare of geese. Moreover, the light-emitting diode (LED) green light can play a pivotal role in regulating the growth and development of embryos and offspring in chickens. This study aims to determine the optimal regimen of LED green light in the high-density rearing mode of goslings. According to the actual production, a two-factor experiment was designed with the incubation light (dark and LED green) and growth light (LED white and LED green). A systematic analysis was made to explore the effects of LED green light on growth performance, intestinal development, blood hormones, feather quality, and pecking behaviors of geese in high-stocking density. The results show that the light intensities were 30–40 and 30–35 lx during the incubation and brooding period, respectively, with a light cycle of L:D = 24:0. The growth performance of geese was significantly improved by LED green light during the gosling brooding period. The LED green light during the growing period was found to significantly increase the body weight of geese at 14 days, as well as the daily gain and feed intake of geese for 1 to 14 days (P < 0.05). Furthermore, there was a significant decrease in the ratio of feed to gain of geese for 1 to 14 days (P < 0.05). A significant reduction was found in the concentration of serotonin and corticosterone in the blood, as well as the duodenal crypt depth of the geese at 14 days in the green light group during the growth period (P < 0.05), compared with the white light group. Furthermore, the LED green light irradiation during the growing period was observed to significantly increase the length of the chest and abdomen feathers of geese at 14 days post-hatching (P < 0.05), whereas, the back bare score of geese was reduced at 14 days post-hatching (P < 0.01), and the average pecking time and frequency of geese was reduced for 1 to 14 days post-hatching (P < 0.001). Thus, the green light environment during the growing period was significantly beneficial to the quality of the feathers and the development of geese plumage. The LED green light during the embryonic period was found to significantly reduce the average pecking time and frequency (P < 0.05) for better feather pecking behavior in geese. Moreover, the hatching procedure of green light outstandingly reduced the duodenal crypt depth (P < 0.01), where there was an increase in the jejunal villus height of geese at 14 days (P < 0.05), compared with the control group. The adverse effects of intensive farming were reduced on the intestinal development of geese. Moreover, there was no significant interaction to identify between the incubation and brood lights, in terms of the regulation of growth performance, intestinal development, blood hormones, feather quality (feather length, cleanliness, and damage degree), and feather pecking behavior of geese. Therefore, the LED green light shared the positive regulations on the negative effects of high-density rearing of goslings. Moreover, the LED green light during the growing period of goslings yielded superior outcomes. It is thus recommended that green light irradiation can be employed at the brood stage of goslings in actual production, in order to mitigate the adverse effects of modern intensive farming on goslings. The findings can provide a theoretical basis for the efficient production of geese. [ABSTRACT FROM AUTHOR]

The economic, socio-political, and cultural significance of camelids in the Andean region is well-recognized, yet an understanding of their management evolution over pre-historical periods remains limited. This study aims to fill this gap by conducting the first cross-regional assessment of camelid pastoralism in Peru from 900 BCE to 1470 CE, using stable carbon and nitrogen isotopic compositions from the bone collagen and fibers of 577archaeological camelids across 21 sites. This research investigates the spatio-temporal shifts in camelid dietary habits, focusing on how the rise of intensive agriculture may have influenced change and led to the evolution of distinct roles for camelids in coastal versus non-coastal Andean economies. Our analysis indicates an increase in δ13C values over time on the coast, suggesting a shift towards maize-based camelid diets. Conversely, δ13C values decrease over time in highland environments, suggesting camelids consumed relatively more wild C3 forage and/or cultivated crops such as tubers. The study also reveals a significant positive relationship between latitude and δ15N values, suggesting increasing environmental aridity enriches δ15N in bone collagen. After controlling for this latitudinal effect, we observe a rise in δ15N values in both coastal and non-coastal camelids, suggesting that in later periods camelids may have been foddered in agricultural fields that were enriched with guano or dung fertilizer used to intensify production. Importantly, this research uncovers a distinct dietary divergence between coastal and inland camelids. The observed divergence in diets suggests contrasting socio-economic uses of camelids, where coastal camelids were predominantly involved in ceremonial and political activities, while those in non-coastal areas were crucial to the subsistence economy. [ABSTRACT FROM AUTHOR]

Soil moisture (SM) interconnects various components of the Earth system and drives the land–atmosphere feedbacks and food production. However, around 40% of global vegetated land experiences SM drying. India is one of the global hotspots of land–atmosphere interactions and an extensively agrarian economy, but underexplored in terms of SM dynamics and its ramifications on food security. Here, we examine the mechanism of SM drying and its implications on cropland productivity in India based on remote sensing measurements and land surface model simulations in recent decades (2000–2019) and future projection of the 21st century. We find SM reduction predominantly in monsoon (4.5%) and winter (3%) seasons that are in the major agricultural seasons of Kharif and Rabi, respectively. Machine learning (ML)-based random forest (RF) reveals that temperature (T, 30.76%) is the dominant driver of SM variability, and then precipitation (P, 26.34%), evapotranspiration (ET, 26.08%) and surface greenness (16.82%). Concurrently, India experiences severe warming in terms of land (0.59 ℃/dec), soil (0.48 ℃/dec) and soil heat flux (SHF, 0.16 W/m2/dec) during 2000–2019. Partial correlation analysis between SM and T limiting the influence of P reveals a strong negative (> − 0.5) relationship in the agriculture intensive regions of Indo-Gangetic Plain (IGP) and South India (SI). Drying owing to warming and increased SHF, termed as warming-induced moisture stress, reduces gross primary productivity (GPP) (i.e. browning) and yield of major food crops of wheat, rain-fed rice, maize and soyabean, predominantly in SI and eastern IGP. Granger Causality shows that warming-induced soil moisture stress has a maximum temporal lag of 1 month. In a warming world, the ever-growing population demands more food, and therefore, the warming-induced soil moisture stress is a serious threat to food security in India and similar agro-climatic regions of the world. This calls for climate-resilient agriculture, better agronomic management, improved irrigation and adoption of water-efficient crops. [ABSTRACT FROM AUTHOR]

The dairy sector suffers significant financial losses due to repeat breeding syndrome (RBS), a significant reproductive disease in dairy cattle. For a very long time, repeat breeding has been regarded as one of the most critical reproductive issues in cattle. The objective of this study is to investigate the frequency and identify the risk factors related to repeat breeding in dairy cows in the Bogura district of Bangladesh. Additionally, the study aims to assess the influence of repeat breeding on reproductive performance in this population. This study collected indigenous and crossbred 179 cow's data using a prestructured questionnaire. The cows that needed more than three consecutive inseminations to conceive were considered repeat breeders, and those that needed ≤3 inseminations were regular cyclic cows. The incidence rate of RBS in this study was 33.50%. In BCS 2.5 to 3.0, the incidence rate was significantly higher (58.30%) in repeat breeders than in others. Cows with < 5-litre average daily milk production and reared in intensive farming systems with moderate to poor levels of hygienic management have a significant (p<0.005) effect of repeat breeding syndrome. Different reproductive diseases have a significant (p<0.001) effect on the conception rate of cows. Stillbirth (77.87%) followed by fetal death (76.47%) were recorded as major reproductive obstacles in repeat breeding, whereas pyometra (71.43%), followed by abortion (66.67%), dystocia (70.00%) and endometritis (57.14%) were the major recorded complications in repeat breeders. The rate of conception would go up if cows had optimal BCS, good hygiene and management practices were used, and farmers were trained on how to manage cattle reproduction. This would lower the repeat breeding syndrome. [ABSTRACT FROM AUTHOR]

To investigate the long-term effects of organic manure on soil macro-porosity and nutrient stoichiometry in greenhouse production, we studied the physical and chemical properties of soils under different vegetable systems in Jiangsu Province. These systems included organic greenhouse vegetable (OGV), organic open-field vegetable (OFV), conventional greenhouse vegetable (CGV), and conventional open-field vegetable (CFV), with rice–wheat rotation (RWR) soils used as a reference.The results showed that, compared to conventional systems, organic vegetable production increased soil macro-porosity, soil organic carbon (SOC), and total nitrogen (TN) content, as well as C:N, C:P, and N:P, particularly in the tilled layer. SOC, TN, and total phosphorus (TP) levels increased rapidly during the first 14 years of OGV cultivation, followed by a decline. SOC, TN, and stoichiometric ratios were significantly positively correlated with soil macro-porosity. The study suggests that converting RWR to OGV does not degrade soil aeration, and long-term application of organic manure positively impacts nutrient retention in the tilled layer, although the effects are time- and depth-dependent. The study highlights the potential of long-term organic manure application to improve soil aeration and nutrient balance in OGV, underscoring the importance of optimizing fertilizer management in intensive agriculture to enhance soil quality and crop yield. [ABSTRACT FROM AUTHOR]

In popular materials designed to teach American students about the evolution of human skin color, students are guided toward a model in which ancestral latitude predicts levels of skin pigmentation. While this model agrees with data from people whose ancestors practiced intensive agriculture in Europe, Asia, and Africa, this model does not match data from other human populations across the globe, including the predicted skin pigmentation of ancient hunter-gatherer populations who maintained long-term settlements in these same regions. In this review, we discuss findings from ancient genome sequencing and provide guidance on teaching an updated model on the evolution of human skin color. (To increase accessibility for non-specialists, we present here a targeted rationale for updating classroom teaching practices, with a set of frequently asked questions regarding the current state of scientific research on this topic addressed in supplemental material.) With this update, we hope to help students avoid common misconceptions about human evolution—particularly, that the evolutionary pressures encountered by those who adopted a single human culture would apply to all humans, everywhere—and leverage authentic data and argumentation to convey the anti-racist reality that people with a wide range of skin colors thrived in high-latitude regions for many thousands of years, just as students with a wide range of skin colors can thrive in whatever place they currently call home. [ABSTRACT FROM AUTHOR]

Agricultural expansion, intensification and overgrazing are recognised as some of the key contributing factors to increasing sediment loss above natural levels.One strategy to mitigate such losses is the use of sediment traps, designed to slow overland flow velocity and trap sediment.. The objectives of this study were: (1) to determine if the available scientific literature justifies the use of such structures as viable options to mitigate sediment loss and (2) to identify sediment trap characteristics that determine their effectiveness. Reviewing the published literature on sediment traps identified a total of 21 publications, from which we could extract 16 annual average data points on sediment trapping efficiency in agricultural catchment contexts, 4 modelling data points and 6 data points for roadside runoff. Our review found the annual sediment trap effectiveness (STE) was highly variable, with results ranging from 10% to 98%. Average annual STE across the measured data from agricultural catchments was 59%. The key design metric presented in the literature was the storage ratio; volume of the sediment trap relative to the size of the catchment. Our analysis suggests a storage ratio of at least 120 m3 ha−1 is required to deliver a STE of 55% or better. [ABSTRACT FROM AUTHOR]

In this paper, we present the long-term occupation of the Perputxent Valley with the purpose of exploring the factors that could explain the long-lasting and trans-cultural occupation of resilient sites and landscapes for nearly two millennia. The first part describes the archaeological research carried out based on remote sensing and intensive coverage survey methods and geoarchaeological analysis. The characterisation of the intensive agricultural uses has been studied from the geochemical analysis of the soil and sedimentary record. The objective is to reconstruct the palaeoenvironmental processes and the possible evidence of the agricultural practices. This research has identified the residential spaces, the sites and the agrarian land-uses, especially intensive farmlands. The second part analyses the evidence of this long-term settlements in the context of the archaeological, ethnographic and historical record of the region. Understanding these practices of agriculture and land-use can contribute to understandings of what makes societies sustainable. [ABSTRACT FROM AUTHOR]

Liparis loeselii is a rare and declining orchid species restricted to rich fens in the Northern Hemisphere. Habitat destruction, eutrophication, drainage and scrub encroachment have been suggested as reasons for the decline. However, which factors are most important is not well understood. Based on vegetation and environmental properties from extant, potential and historical L. loeselii sites, we 1) developed habitat suitability models from either Ellenberg Indicator Values, which were derived from known habitat preferences of co‐occurring plant species, or field‐measured environmental properties, and 2) identified the primary reasons for the observed decline of L. loeselii. We found nutrient status to be the most important predictor for L. loeselii occurrence, followed by hydrology proxies (Ellenberg reaction and Ellenberg moisture). Vegetation height and Ellenberg light were of minor importance. Effect partitioning based on sites, from which L. loeselii has gone locally extinct, pinpointed eutrophication and drainage to be the most likely primary drivers of the species' demise. Phosphorus limitation induced by discharge of calcium‐rich groundwater seems to be crucial for L. loeselii to sustain populations in landscapes dominated by intensive agriculture. [ABSTRACT FROM AUTHOR]