Search Results (487)

Sweet potato (Ipomoea batatas (L.) Lam.) aerial biomass has potential as an alternative forage resource for ruminants in semi-arid regions; however, the fermentative behavior of different genotypes remains poorly understood. This study evaluated the fermentation profile, nutrient losses, and chemical composition of silages produced from the aerial parts of ten sweet potato accessions cultivated under agroecological conditions. Wilted biomass from each accession was pooled, homogenized, and ensiled in four mini-silos used as subsamples for fermentation characterization. Hierarchical clustering identified two distinct groups, indicating clear genotype-dependent variation in silage performance. Accessions BGH-UNIVASF 8 and 16 showed superior fermentation efficiency, characterized by greater dry matter recovery, lower effluent and gas losses, and more stable fermentation profiles. In contrast, several high-yielding accessions exhibited greater fermentation losses, indicating a trade-off between biomass productivity and preservation efficiency. Total digestible nutrients varied among accessions but were not consistently associated with fermentation quality. Overall, the results demonstrate that silage quality in sweet potato is strongly genotype-dependent and highlight the importance of integrating agronomic, nutritional, and fermentative traits when selecting accessions for silage production under semi-arid conditions. Full article

The objective of this study was to evaluate the impacts of varying inclusion levels of soybean hull pellets (SHP) with annual ryegrass baleage (BAL) on animal performance and digestive kinetics in beef cattle. In Experiment 1 (Exp. 1), 60 weaned mixed-sex beef calves were randomly assigned to one of three treatments: 0.0%, 0.5%, or 1.0% body weight (BW) SHP with ad libitum access to BAL for 48 days (d). Animal performance, including BW, dry matter intake (DMI), and average daily gain (ADG), was evaluated for the duration of the study. In Experiment 2 (Exp. 2), six ruminally cannulated beef steers received the same treatments utilized in Exp. 1. Steers were dosed with ytterbium (Yb)-labeled BAL to evaluate ruminal passage rate across three 24 d periods. All data were analyzed using SAS 9.4. In Exp. 1, total BAL intake decreased in calves supplemented with SHP, while cumulative ADG increased from 0.30 (0.0% BW SHP) to 0.54 (0.5% BW SHP) and 0.74 kg/d (1.0% BW SHP), respectively. Final BW at D47 also increased as SHP inclusion increased. In Exp. 2, ruminal retention time decreased from 38.0 h (0.0% BW SHP) to 15.1 h (1.0% BW SHP), while cecum-to-proximal colon passage rate did not differ among treatments (p = 0.06). Baleage DMI did not differ between treatments. Results suggest that SHP supplementation improved calf performance despite reduced BAL intake in Exp. 1, with the greatest cumulative ADG observed in calves supplemented with 1.0% BW SHP. In Exp. 2, 1.0% BW SHP produced the greatest effects on passage rate kinetics, while BAL DMI was unaffected by SHP supplementation. Full article

Nitrogen (N) is a critical macronutrient for plant growth, and nitrogen deficiency severely limits turfgrass and forage productivity. Nuclear Factor Y (NF-Y) is a conserved transcription factor family known to regulate plant development and stress responses. Tall fescue (Festuca arundinacea) is a perennial grass widely used as turf and forage due to its strong stress tolerance and low input requirements, making it an ideal model for studying adaptation to nitrogen limitation. However, the NF-Y family and its involvement in nitrogen responsiveness remain largely unexplored in perennial grasses. In this study, ten NF-Y genes (FaNF-Ys) were identified from the tall fescue transcriptome, including two FaNF-YA, six FaNF-YB, and two FaNF-YC members. The expansion of the FaNF-YB subfamily suggests potential functional diversification. Phylogenetic and conserved motif analyses revealed high conservation of NF-Y proteins among grasses and distinct structural characteristics among subfamilies. Expression profiling showed that most FaNF-Y genes were responsive to nitrogen availability and exhibited strong tissue specificity, with many preferentially expressed in lateral roots. Among them, FaNF-YB8 displayed a unique expression pattern, being predominantly expressed in mature leaves and showing a bidirectional response to nitrogen supply, with expression peaks at 6–12 h under low nitrogen stress and significant induction under high nitrogen conditions. This study represents the first systematic characterization of the NF-Y genes family in tall fescue and provides valuable candidate genes for understanding nitrogen adaptation and improving nitrogen use efficiency in turfgrass breeding. Full article

Sleep and dietary behavior are deeply conserved biological processes that co-evolved under ecological pressures shaping human anatomy, metabolism, immunity, cognition, and life history strategies. Major transitions in human dietary ecology, including plant-dominant hominin foraging, increased meat consumption, control of fire and cooking, agricultural domestication, industrialization, and postindustrial globalization, restructured nutrient intake, pathogen exposure, microbial ecology, metabolic demands, and temporal organization of behavior. Emerging evidence from evolutionary genomics, chronobiology, neuroendocrinology, and microbiome science indicates that sleep–feeding interactions represent a conserved adaptive regulatory module optimized for fluctuating energy availability and strong photoperiodic entrainment. Modern environments characterized by widespread availability of highly palatable, energy-dense foods rich in refined carbohydrates, added sugars, and multiple industrial additives, together with artificial light at night, continuous caloric access, sedentary behavior, and psychosocial stress produce a profound evolutionary mismatch destabilizing circadian–metabolic homeostasis. This mismatch is characterized by circadian disruption, temporal misalignment of feeding and sleep behaviors, and, in many populations, insufficient sleep duration. Within this conceptual landscape, the emerging framework of “evolutionary chrononutrition” proposes that metabolic health and sleep integrity depend not only on what humans eat, but critically on when food is consumed in relation to endogenous circadian architecture shaped across deep evolutionary time. This review synthesizes anthropological, physiological, and molecular evidence to develop an integrative evolutionary framework linking sleep and diet to contemporary cardiometabolic, neurodegenerative, inflammatory, and psychiatric disorders, with particular emphasis on how each major dietary transition plausibly altered sleep duration, architecture, circadian timing, neuroendocrine regulation, and the temporal alignment between feeding behavior and biological rhythms. Full article

Plant functional traits are central to regulating ecosystem multifunctionality (EMF), yet how coordinated above- and below-ground resource acquisition strategies mediate the effects of forest structural diversity on EMF remain insufficiently understood, particularly in typical south subtropical forests. Here, we applied a trait-based framework to disentangle the pathways linking forest structural diversity to EMF through plant resource acquisition strategies. Typical south subtropical forests were sampled for community-level leaf and root traits, including leaf total nitrogen and total phosphorus content, specific leaf area, leaf dry matter content, root diameter, specific root length, root tissue density, root total nitrogen and root total phosphorus content. EMF was quantified using 13 indicators associated with carbon storage, litter decomposition, primary productivity, and nutrient cycling, evaluated using both averaging and multi-threshold approaches. Principal component analysis was used to summarize trait variation along major functional axes representing the leaf and root economics spectra, and structural equation modeling was employed to quantify direct and trait-mediated pathways linking forest structural diversity to EMF. We found pronounced variation in EMF among forest types, with multifunctionality increasing along the classical fast-slow plant economics spectrum. Communities dominated by fast-growing species exhibited consistently higher EMF than those dominated by slow-growing species, with below-ground traits showing stronger associations with EMF than above-ground traits. In contrast, EMF was unrelated to the root collaboration gradient, suggesting that alternative below-ground foraging strategies contributed little to multifunctionality. Moreover, the positive effects of structural diversity on EMF were indirectly mediated through both leaf and root conservation gradients. Notably, the relative importance of these trait-mediated pathways was threshold-dependent. Root conservation gradients dominated EMF at low multifunctionality thresholds, whereas leaf conservation gradients became increasingly important at higher thresholds. Our findings show that forest structural diversity enhances ecosystem multifunctionality through coordinated leaf and root strategies. By revealing trait-mediated links between biodiversity and EMF, this study clarifies how community composition and species turnover shape multifunctionality in typical south subtropical forests. Full article

Sorghum halepense is widely recognised as one of the most aggressive invasive perennial grasses affecting agricultural ecosystems worldwide. This systematic review synthesises existing scientific evidence on the ecological invasion dynamics, origin, distribution patterns, impacts on both biodiversity and livestock, and management strategies. A systematic literature review approach was employed to identify and evaluate peer-reviewed and grey literature. Relevant studies were retrieved from major scientific databases, including Google Scholar, PubMed, and ResearchGate, using predefined search terms related to S. halepense, invasion, impact on native plants and livestock, and possible control measures. Articles were screened based on relevance, methodological quality, and thematic alignment with the objectives of the review. The results showed that Johnsongrass is making a gradual invasion in South Africa through seed production and rhizome systems. Sorghum halepense alters native species composition, subsequently reduces biodiversity, and outcompetes native species. Although it may provide forage under certain conditions, its accumulation of cyanogenic compounds and nitrates poses serious poisoning risks to herbivores. Management strategies such as mechanical, burning, and chemical methods vary in terms of effectiveness. Some of these measures are influenced by the genetic make-up of the plant, costs associated with each control measure and other environmental factors. This review highlights the need for integrated management approaches that balance invasive weed control with sustainable forage production. This review emphasises the importance of adopting integrated management strategies that effectively control both seed production and underground stems. Future research should prioritise climate-responsive management approaches, improved understanding of invasion ecology, and the development of cost-effective control measures. Bringing together policy makers and specialists in weed science, natural conservation science, and animal health will be essential for reaching consensus on the actions required to curb the expansion and reduce the economic losses associated with the abundance of Sorghum halepense in our ecosystems. Full article

Goat production in Peru is primarily carried out under extensive systems shaped by climatic variability, forage seasonality, infrastructure limitations, and persistent sanitary pressure. In this context, Creole goats represent a strategic animal genetic resource due to their capacity to adapt to arid and high-Andean environments. This review integrates the available evidence on production typologies in the main goat-producing regions of the country, the major sanitary and structural bottlenecks, and the state of the art of genomic, multi-omics, and reproductive biotechnology tools applicable to goats. It discusses how the transition from traditional markers to SNP genotyping, together with functional approaches such as microbiome analysis, transcriptomics, and proteomics, can contribute to understanding the biological basis of complex traits related to resilience, feed efficiency, and reproductive performance. Likewise, the potential of precision livestock farming to generate longitudinal phenotypes and strengthen genetic improvement programs in low-input systems is highlighted. Finally, priorities and considerations are outlined to advance the integration of phenotyping, genomics, and reproductive biotechnologies in extensive contexts, with emphasis on the generation of systematic data, interinstitutional coordination, and technology transfer aimed at the sustainability and conservation of goat resources. These insights may also inform genetic improvement strategies in other developing countries facing similar environmental and structural constraints in low-input goat production systems, particularly in arid and semi-arid regions. Full article

Pollinator health depends critically on gut microbiome composition, yet species-specific responses to agricultural environments remain unclear. We compared gut microbiome dynamics and dietary shifts in Osmia excavata, Megachile rotundata, and Apis cerana during alfalfa pollination using 16S rRNA sequencing and rbcL metabarcoding. Alpha diversity revealed distinct patterns: O. excavata showed reduced richness but increased evenness after foraging, M. rotundata exhibited reduced diversity, while A. cerana remained stable. Beta diversity demonstrated microbiome convergence among species after release, indicating environmental filtering. Dietary analysis revealed polylectic foraging dominated by Citrullus lanatus, Peganum nigellastrum, and Zea mays, with minimal alfalfa consumption. Pseudomonadota and Bacillota predominated, with species-specific signatures: Gilliamella in A. cerana, Lactobacillus in M. rotundata, and Bacillus in O. excavata. These findings demonstrate that microbiome assembly reflects host sociality–environment interactions, with solitary bees showing greater plasticity. This study provides a microbial foundation for pollinator conservation in agricultural systems. Full article

Introduction: The Egyptian Vulture (Neophron percnopterus), an endangered scavenger, plays an important role in ecosystem health and corpse decomposition processes. However, populations have been declining throughout the Indian subcontinent, mainly due to anthropogenic influences. The present study explores how human activities affect the scavenging ecology and feeding behavior of Egyptian vultures in Gonda District, Terai region of Uttar Pradesh, India. Methods: The observations were conducted from January to June 2025. Systematic field observations were conducted at certain dumping locations. Point count sampling techniques were used to capture information on interspecific interactions, food type, feeding duration, and frequency of foraging. Results: The findings showed that vultures relied extensively on manmade food sources, mainly animal carcasses (57%), poultry waste (25%), and market rubbish (10%). Feeding activity peaked in the morning (08:00–11:00 h), coinciding with carcass disposal times at dump sites. Feral dogs, cattle egrets, and crows frequently engaged in interspecific conflict, limiting feeding time and food availability. Dependence on human-mediated food sources demonstrates both adaptation and susceptibility—adaptability in exploiting alternative resources, but vulnerability due to potential exposure to toxins, diminished food supply, and habitat disruption. Conclusions: The study underlines the critical need for better waste management techniques, construction of vulture feeding zones, and public awareness campaigns to support the long-term conservation of Egyptian Vultures in human-modified environments. Full article

Wild mushroom harvesting is an activity practiced throughout the United States (U.S.) and holds a place of both cultural and economic importance. Mushroom harvesting on public lands in the U.S. takes two primary forms: (1) commercial harvest (for sale) or (2) personal harvest (for one’s own consumption or for sharing to others). As mushroom harvesting has grown in popularity, particularly in urban and suburban areas, ready access to information surrounding harvests on public lands has become increasingly important to the mushroom harvesting community, and ultimately to fungal conservation and sustainable exploitation. In this study, documents pertaining to harvesting on state and federal public lands in the U.S. were analyzed for their accessibility for personal and commercial harvesters. Scores were assigned based on access (ranked 0–5), with higher scores indicating greater access to the public. Overall, personal harvest (Min = 1, Max = 5, Average = 2.96) was permitted to some extent in every state, with the greatest access provided in Oregon, Nebraska, Wisconsin, and Michigan. Permits were often not required (Min = 0, Max = 3, Average = 0.7), with Montana and South Dakota having the most permitting requirements. Commercial harvest was associated with more limited access, and had greater associated regulation (Min = 0, Max = 4, Average = 1.02). Seventeen states that allowed for personal harvest did not allow for commercial harvest. Permitting was almost always required for commercial harvest (Min = 0, Max = 4, Average = 1.06), with Oregon having the most developed commercial permitting requirements. Access to public lands was found to be highly variable in the U.S. and is governed by a variety of local, state, and federal regulations. Information, depending on its source, was at times easy to access through a website, pamphlet, or phone call. However, in many cases information was out of date or difficult to find, and studies on the impacts of commercial and personal mushroom harvesting are limited. As a result, it is important that land managers develop communication mechanisms with the public for information sharing, to provide open and frequent communication, and for building long-term trust and relationships with harvesters. We offer some example mechanisms to land/resource managers and university/public educational partners as a starting point. Full article

Dactylis glomerata, a perennial forage grass widely distributed in Mediterranean areas, is recognized for its adaptability and nutritional quality. This study aimed to assess the chemical composition and fiber components of ten natural populations of Dactylis glomerata in order to characterize genetic variability in nutritional and fiber traits among populations. Seeds of all populations were established in a randomized complete block design with four replicates and cultivated for two consecutive years. Forage was collected at the boot stage, and analyses were conducted for crude protein, ash, crude fiber, neutral and acid detergent fibers, acid detergent lignin, hemicellulose, cellulose, digestible dry matter, dry matter intake, and relative feed value. Combined ANOVA indicated that genotypic effects were highly significant for all traits (p ≤ 0.001), with additional significant contributions from environmental and genotype × environment interactions. Crude protein ranged from 11.74% to 14.98%, neutral detergent fiber from 56.31% to 58.43%, and relative feed value from 100.1 to 106.4 among populations. Stability index analysis identified Kefalopotamos and Filyra as the most environmentally stable populations, whereas Kori and Xyloparoiko exhibited relatively higher values in selected forage quality traits. Broad-sense heritability values were high for the majority of traits (H² between 93.3% and 99.9%, except for hemicellulose), suggesting a strong genetic influence. Correlation analysis also revealed inverse relationships between protein content and fiber fractions and positive relationships with digestibility-related indices. Multivariate analyses revealed a clear separation between nutritional quality traits and structural fiber components, indicating consistent differentiation among populations. Overall, these results highlight the potential of local Dactylis glomerata populations as genetic resources for further evaluation in breeding and conservation programs under Mediterranean conditions. Full article

This review analyzes the economic, social, and environmental dimensions of water buffalo (Bubalus bubalis) production and its contribution to the Sustainable Development Goals (SDGs). A scoping review following PRISMA-ScR guidelines was conducted using the Web of Science (2020–2026), resulting in 225 included studies. Buffalo production is a multipurpose system that generates value through milk, meat, hides, manure, draft power, and animal-assisted services, with greater longevity than most livestock species. Economically, it supports income diversification, resource efficiency, and functions as a financial asset that can be sold to cover unexpected expenses. Socially, it enhances food security by providing nutrient-dense products, particularly milk with bioactive compounds associated with potential health benefits, and promotes women’s participation in livestock management and household economies. Environmentally, buffalo systems efficiently utilize low-quality forages, are adapted to marginal conditions, contribute to wetland conservation, and provide ecosystem services. These contributions align with several SDGs (1, 2, 5, 8, 12, 13, and 15). However, sector expansion is constrained by limitations in nutrition, management, veterinary services, and reproductive efficiency, as well as environmental challenges related to methane emissions and life cycle impacts. While global methane emissions from buffalo are lower due to their smaller population, emission intensity remains system-dependent and represents a critical challenge. In conclusion, water buffalo production represents a multifunctional and context-dependent system with significant potential to support sustainable development, although targeted innovations are required to improve productivity and address environmental challenges. Future research should integrate One Health and One Welfare approaches, develop long-term studies, and expand research under diverse experimental and field conditions to better characterize the potential health implications of buffalo-derived products. In addition, strengthening circular economy strategies, including region-specific diets to reduce emissions, remains a priority. Full article

Tropical forest restoration has increased in the past decades, with possible advancements given the UN declaration of the “Decade of Ecosystem Restoration”. However, robust assessments to compare ecosystem functions among restored forest stages are essential. We evaluated 13 actively restored forest stands ranging from 3 to 21 years of age and compared measures of forest biodiversity, structure, and ecosystem function to four 70+ year old “reference” stands that serve as restoration “targets” in the study region of the Premontane wet forest of Costa Rica. The restored stands were planted with an average of 13 tree species on abandoned pastures that were fallow for at least two years. Sixteen tree-stand attributes and six ecosystem function estimates were assessed, including: annual biomass (C) accumulation, N-fixation potential, threatened species conservation, and the provision of avian frugivore forage, insect habitat, and insect pollination. Using Principal Component Analysis, linear modeling, and Mahalanobis distance analyses, we learned that planting a diversity of tree species sets the stage for forest recovery at early restoration ages, with an inflection point at 15 years towards older reference forest characteristics and functions. Given that all restoration ages provided tree diversity and some level of ecosystem functions, the value of all restored stands in the landscape is notable. The assessment methods are easily employed, thereby providing an accessible tool to restoration practitioners. Full article

Soil salinization is a source of major abiotic stress that severely limits the production of alfalfa (Medicago sativa L.), a globally critical forage legume for sustainable livestock production. Its complex autotetraploid genome and self-incompatibility greatly hinder salt tolerance genetic improvement, while the post-transcriptional regulatory mechanism of alfalfa salt stress response remains largely uncharacterized. This study aimed to narrow the gap between genome-wide genetic signals and causal regulatory mechanisms and identify core post-transcriptional regulators of alfalfa salt tolerance via a multi-layered integrative analysis pipeline. We performed a genome-wide association study (GWAS) using 220 globally collected alfalfa accessions, combined with public transcriptome integration, co-expression network analysis, 3′ untranslated region (3′UTR) motif discovery, and AlphaFold2-based protein-RNA docking simulation. We identified 20 significant salt tolerance-associated loci and prioritized the CCCH-type zinc-finger RNA-binding protein (RBP) MsCCCH20 as the core candidate regulator. We further screened 35 high-confidence target genes of MsCCCH20, detected conserved AU/AG-rich 3′UTR motifs, and provided structural predictions consistent with potential sequence-specific interactions (ipTM 0.70–0.79). Our findings establish a robust framework linking genetic association signals to post-transcriptional regulatory networks and provide high-confidence candidate genes and functional markers for the molecular breeding of salt-tolerant alfalfa. Full article

Conservation management of large, multi-species landscapes requires integrating heterogeneous data streams—such as satellite imagery, GPS telemetry, camera traps, bioacoustic sensors, weather stations, and field reports—into a unified model capable of simulating ecosystem dynamics and generating actionable recommendations. This paper proposes a tiered, energy-aware AI architecture for constructing ecosystem digital twins that enables prescriptive, rather than merely descriptive or predictive, landscape-scale conservation management. The framework classifies conservation tasks across three computational tiers: classical machine learning for continuous environmental monitoring and species distribution prediction, deep learning for perception-oriented tasks such as computer vision and bioacoustic analysis, and foundation models for cross-domain synthesis and stakeholder interaction. We apply this architecture to a comprehensive digital twin of the Greater Yellowstone Ecosystem, anchored in the ongoing conservation crisis of the Sublette Pronghorn Herd—a population that crashed from 43,000 to 24,000 animals in a single winter due to compounding severe weather and a Mycoplasma bovis outbreak. We formalize a coupled change model linking population dynamics, forage condition, corridor permeability, winter severity, and disease pressure, and demonstrate how a prescriptive recommendations engine can generate goal-conditioned management actions for the herd’s 165-mile “Path of the Pronghorn” migration corridor. A comparative energy footprint analysis, grounded in hardware-level energy measurements using Intel RAPL instrumentation and the CodeCarbon framework, estimates that the tiered architecture reduces computational energy consumption by approximately 34% relative to a deep-learning-everywhere baseline and by over three orders of magnitude relative to a foundation-model-centric baseline. The architecture provides a replicable blueprint for resource-constrained conservation organizations seeking to deploy AI-powered ecosystem management at landscape scale. Full article