A Brief Review on Aflatoxicosis in Aquaculture With a Focus on Fish.

Feed quality is among the most determinative criteria for aquaculture success. Along with feed ingredient quality and its production process, feed storage conditions would also affect feed quality, especially in terms of adventitious toxins. Mycotoxins are frequent food and feed contaminants and are considered important health threats to both human and animal health.

Efficacy of Lactobacillus acidophilus and yeast cell wall-derived supplements on immunity responses, growth performance, and disease resistance in Cyprinus carpio juveniles.

This study investigated the effects of probiotic Lactobacillus acidophilus (PTCC 1643) (LA) and a commercial yeast cell wall prebiotic (Immunogen) (IM) on immunoantioxidant, growth, and digestive status, and resistance to Aeromonas hydrophila in Cyprinus carpio juveniles. The fish were fed in five treatments including control (T1), LA1.5 (T2): 1.

Long-term landfill leachate pollution suppresses soil health indicators in natural ecosystems of a semi-arid environment.

Landfills pose a global issue for soil functionality and health, especially in underdeveloped nations where limited resources impede the adoption of comprehensive waste management policies, such as waste processing and sorting techniques. Leachate emissions from waste landfills are a cause for concern, primarily due to their toxic effect if left uncontrolled in the environment, and the potential for waste storage sites to produce leachate for hundreds of years after closure. Few efforts have been made to improve waste collection and disposal facilities in the world, especially in developing countries.

Modeling the richness and spatial distribution of the wild relatives of Iranian pears (Pyrus L.) for conservation management.

The preservation of the genetic resources of crop wild relatives (CWRs) is crucial for food production systems and is considered a vital measure for global agricultural health and food security. The identification of potential areas where CWRs can thrive is one of the first steps towards their conservation. In this study, we used a maximum entropy model (MaxEnt) to determine the habitat suitability of seven wild relatives of pears (Pyrus L.

Association of different classifications of hypocalcemia with quantity and quality of colostrum, milk production, and health of Holstein dams and their calves.

The aim of the present study was to assess the effect of serum calcium (Ca) status in the early postpartum period on the quantity and quality of colostrum, milk production, and the health of Holstein dams and their calves. One hundred multiparous Holstein cows were enrolled in this study. To determine serum Ca status, blood samples were taken at 1 and 4 days in milk (DIM).

Selenium Nanoparticles: Revolutionizing Nutrient Enhancement in Aquaculture - A Review.

Aquaculture, a cornerstone of global food production, confronts myriad challenges including disease outbreaks and environmental degradation. Achieving nutritionally balanced aquafeed is critical for sustainable production, prompting exploration into innovative solutions like selenium nanoparticles (SeNPs). SeNPs offer potent antimicrobial, antioxidant, and growth-promoting properties, bolstering gut immunity and digestive capacity in aquatic animals.

Assessment of the stand structure of protective forest monitoring based on statistical models in Irano-Turanian phytogeographical regions of Iran.

One of the most important data that forest management planners need for effective decisions is the data related to the forest structure. The aim of the study is to investigate and analyse the structure of protective forests in Irano-Turanian phytogeographical regions, Iran. Since there are many shrubs in this phytogeographical region, it is very difficult to measure the stand diameter at any height (breast or root height).

Increased incidence of reproductive disorders associated with short gestation length in Holstein dairy cows.

The purpose of the current study was to investigate the effect of gestation length (GL) on productive performance, and the incidence of calving and reproductive diseases in Holstein dairy cows. In total, 3800 Holstein singleton cows (2000 heifers and 1800 cows) from two commercial dairy farms were used. The average gestation length for 3800 cows was 276 ± 6 d.

In vitro rumen fermentation pattern: insights from concentrate level and plant oil supplement.

The addition of oil to ruminant diets and oil fatty acid profiles are major factors that negatively affect ruminal fermentation, while increased forage level attenuates the adverse effects. The aim of this study was to determine the effects of oil source supplementation and concentrate level in the diet on in vitro ruminal fermentation kinetics. Pomegranate, garlic or sunflower oils were added (2 % dry matter (DM) basis) to the diets containing 40 % or 60 % (DM basis) concentrates.

DPSIR framework priorities and its application to forest management: a fuzzy modeling.

The main aim of this research was to quantify the parameters related to forest situation (according to DPSIR framework) using decision-making processes and fuzzy methods in the Zagros forests of Iran. In this study, the situation factors (e.g.

Efficient translation of Eggplant mottled dwarf nucleorhabdovirus N and X genes requires both 5' and 3' UTRs.

Background: Circularization of RNA mediated by association of translation factors and RNA elements in 5' and 3' UTRs is a common feature for translation control in eukaryotes. There is no information about translation in plant rhabdoviruses and little information is known in animal rhabdoviruses.

Methods: The role of 5' and 3' UTRs in two genes of EMDV in translation were studied using luciferase constructs and RNA structures of these sequences were analyzed by SHAPE and Inline probing.

Geomorphological evolution along international riverine borders: The flow of the Aras River through Iran, Azerbaijan, and Armenia.

International rivers are one of the most politicized natural resources. Their dynamism, whether driven by the influence of natural processes or artificial drivers, can generate political issues between countries where de river is the common boundary. The present study has tried to discern the role of international riverine borders as a limiting factor of their dynamics from a geomorphological point of view.

Spatial and temporal analysis of urban heat island using Landsat satellite images.

The average land surface temperature (LST) of Earth has increased since the late nineteenth century due to the warming of the Earth's atmosphere. Increased surface temperatures, especially in cities, are a significant environmental problem that intensifies urban heat islands (UHIs). In this study, land surface temperature, urban thermal field variance index (UTFVI), and UHI index were mapped using Landsat 4, 5, 7, and 8 satellite images to identify the distribution and determine the intensities of the UHI.

Assessing the susceptibility of schools to flood events in Iran.

Catastrophic floods cause deaths, injuries, and property damages in communities around the world. The losses can be worse among those who are more vulnerable to exposure and this can be enhanced by communities' vulnerabilities. People in undeveloped and developing countries, like Iran, are more vulnerable and may be more exposed to flood hazards.

A machine learning framework for multi-hazards modeling and mapping in a mountainous area.

This study sought to produce an accurate multi-hazard risk map for a mountainous region of Iran. The study area is in southwestern Iran. The region has experienced numerous extreme natural events in recent decades.

Assessing, mapping, and optimizing the locations of sediment control check dams construction.

Check dams are considered to be one of the most effective measures for conservation of the soil and water resources. However, identifying the most suitable sites for the installation of check dams remain quite demanding. This research investigates and compares five machine learning algorithms (MLAs) - boosted regression trees (BRT), multivariate adaptive regression spline (MARS), mixture discriminant analysis (MDA), random forest (RF), and support vector machine (SVM) - for generating check-dam site-suitability maps (CDSSMs) and assessing them in Firuzkuh County, Iran.

Using machine learning algorithms to map the groundwater recharge potential zones.

Groundwater recharge is indispensable for the sustainable management of freshwater resources, especially in the arid regions. Here we address some of the important aspects of groundwater recharge through machine learning algorithms (MLAs). Three MLAs including, SVM, MARS, and RF were validated for higher prediction accuracies in generating groundwater recharge potential maps (GRPMs).

Characterization of a 16SrII subgroup D phytoplasma strain associated with phyllody in Iran.

plants with phyllody symptoms (CaoP) were observed in Yazd and Ashkezar (Yazd province, Iran) during 2013-2016. Twenty-one symptomatic and four asymptomatic plants were transferred individually to the greenhouse and potted for the biological and molecular characterization of associated phytoplasma. The dodder transmission from symptomatic potted marigold plants, induced virescence, phyllody and witches' broom symptoms in periwinkle.