Toxic Plants and Their Impact on Livestock Health and Economic Losses: A Comprehensive Review DOI Creative Commons
Tagesu Abdisa Serbessa, Tegegn Dilbato

Journal of Toxicology, Год журнала: 2024, Номер 2024(1)

Опубликована: Янв. 1, 2024

Plants are important components in sustaining the life of humans and animals, balancing ecosystems, providing animal feed edible food for human consumption, serving as sources traditional modern medicine. However, plants can be harmful to both animals when ingested, leading poisoning regardless quantity consumed. This presents significant risks livestock health impede economic growth. In several developing countries, including Ethiopia, communities have depended on medicinal treating diseases. The incidences from poisonous due misuse lack dosage standardization. Therefore, this paper aimed review toxic their effects associated losses. Toxic contain secondary metabolites that serve a defense mechanism against predators. most common affect economy include alkaloids (Asteraceae, Convolvulaceae, Lamiaceae, Fabaceae, Boraginaceae), cyanides ( Sorghum spp. grass spp.), nitrates Pennisetum purpureum roots , Amaranthus, nightshades Solanum Chenopodium spp., weed oxalates (Poaecea, Amaranthaceae, Polygonaceae), glycosides Pteridium aquiline ). teratogenic abortifacient (Locoweeds, Lupines, Poison Hemlock, Veratrum), hepatoxicity Crotalaria, Lantana camara, Xanthium, Senecio ), photosensitization L. Alternanthera philoxeroides, Brachiaria brizantha, Heracleum sphondylium impairing respiratory circulatory systems (nitrite cyanide toxic). lead substantial losses, direct indirect. Direct losses stem deaths, abortions, decreased milk quality, reduced skin hide production, while indirect with costs treatment management affected animals. Overall, negatively impact resulting repercussions. it is crucial prioritize identification prevalent plants, isolate metabolites, conduct toxicity tests, standardize dosages, develop effective strategies managing toxicity.

Язык: Английский

Nitrogen Cycling Dynamics: Investigating Volatilization and its Interplay with N2 Fixation DOI Creative Commons

Abdul Wahid Monib,

Parwiz Niazi,

Shah Mahmood Barai

и другие.

Journal for Research in Applied Sciences and Biotechnology, Год журнала: 2024, Номер 3(1), С. 17 - 31

Опубликована: Фев. 1, 2024

The nitrogen cycle is the biogeochemical by which converted into multiple chemical forms as it circulates among atmospheric, terrestrial, and marine ecosystems, conversion of can be carried out through both biological physical processes. Important processes in include fixation, ammonification, nitrification, denitrification. majority Earth's atmosphere (78%) atmospheric nitrogen, making largest source nitrogen. However, has limited availability for use, leading to a scarcity usable many types ecosystems. particular interest ecologists because affect rate key ecosystem processes, including primary production decomposition. Human activities such fossil fuel combustion, use artificial fertilizers, release wastewater have dramatically altered global cycle. modification negatively natural environment system also human health. Volatilization its Relationship N2 fascination Nitrogen Cycle agriculture field discuss this paper.

Язык: Английский

Процитировано

9
Heavy Metal Contamination in Urban Soils: Health Impacts on Humans and Plants: A Review DOI Creative Commons
Abdul Wahid Monib, Parwiz Niazi,

Azizaqa Azizi

и другие.

European Journal of Theoretical and Applied Sciences, Год журнала: 2024, Номер 2(1), С. 546 - 565

Опубликована: Янв. 1, 2024

This research looks at how the growth of cities and industries affects levels heavy metals in soil, which can impact people's health. We find out where pollution comes from, such as factories, car fumes, improper waste disposal, by reviewing existing studies. use different methods to test soil for study exposure these urban areas The evidence shows a connection between high city health problems like breathing issues, brain disorders, overall toxicity body. also explore get into human body, highlighting importance understanding they are available ways people exposed. To deal with polluted soils, we look manage suggest sustainable reduce metal pollution. Our discoveries add what know about environmental health, emphasizing need actions protect residents. Ultimately, this aims give important information insights policymakers, planners, public officials managing lessening risks linked contamination soils.

Язык: Английский

Процитировано

7
Wildfire response of forest species from multispectral LiDAR data. A deep learning approach with synthetic data DOI Creative Commons
Lino Comesaña-Cebral, J. Martínez-Sánchez, Gabriel E. Suárez-Fernández

и другие.

Ecological Informatics, Год журнала: 2024, Номер 81, С. 102612 - 102612

Опубликована: Апрель 22, 2024

Forests play a crucial role as the lungs and life-support system of our planet, harbouring 80% Earth's biodiversity. However, we are witnessing an average loss 480 ha forest every hour because destructive wildfires spreading across globe. To effectively mitigate threat wildfires, it is to devise precise dependable approaches for forecasting fire dynamics formulating efficient management strategies, such utilisation fuel models. The objective this study was enhance classification that considers only structural information, Prometheus model, by integrating data on responses various tree species other vegetation elements, ground litter shrubs. This distinction can be achieved using multispectral (MS) Light Detection Ranging (LiDAR) in mixed forests. methodology involves novel approach semantic classifications forests generating synthetic with labels regarding reflectance information at different spectral bands, real MS scanner device would detect. Forests, which highly intricate environments, present challenges accurately classifying point clouds. address complexity, deep learning (DL) model trained clouds formats achieve best performance when leveraging data. Forest plots region were scanned Terrestrial Laser Scanning sensors wavelengths 905 1550 nm. Subsequently, interpolation process applied generate each plot, DL classify them. These surpassed thresholds 90% 75% accuracy intersection over union, respectively, resulting more categorisation models based distinct elements fire. results reveal potential LiDAR improving retrieval ecosystems enhancing wildfire efforts.

Язык: Английский

Процитировано

3
Microbial-Plant Interactions and Their Role in Mitigating of Oil Pollution: A Review DOI Creative Commons
Mohammad Hassan Hassand, Anel A. Omirbekova, Atiqullah Sarwari

и другие.

European Journal of Theoretical and Applied Sciences, Год журнала: 2024, Номер 2(2), С. 11 - 22

Опубликована: Март 1, 2024

The partnership between plants and microorganisms is crucial for combating oil pollution on land in the sea. This mutual relationship helps transform restore ecosystems affected by contamination. article focuses how work together to fight pollutants, this can be used manage oil-contaminated areas sustainably. Microorganisms living with have unique abilities break down use hydrocarbons converting them into less harmful substances reducing environmental damage. also improves effectiveness of phytoremediation, a sustainable technique cleaning up polluted sites.

Язык: Английский

Процитировано

2
PSR-LeafNet: A Deep Learning Framework for Identifying Medicinal Plant Leaves Using Support Vector Machines DOI Creative Commons
Praveen Kumar Sekharamantry, M. Srinivasa Rao, Y. Srinivas

и другие.

Big Data and Cognitive Computing, Год журнала: 2024, Номер 8(12), С. 176 - 176

Опубликована: Дек. 1, 2024

In computer vision, recognizing plant pictures has emerged as a multidisciplinary area of interest. the last several years, much research been conducted to determine type in each image automatically. The challenges identifying medicinal plants are due changes effects light, stance, and orientation. Further, it is difficult identify factors like variations leaf shape with age changing color response varying weather conditions. proposed work uses machine learning techniques deep neural networks choose appropriate features if or non-medicinal plant. This study presents network design based on PSR-LeafNet (PSR-LN). single that combines P-Net, S-Net, R-Net, all intended for feature extraction using minimum redundancy maximum relevance (MRMR) approach. PSR-LN helps obtain features, venation leaf, textural features. A support vector (SVM) applied output achieved from PSR network, which classify name model named PSR-LN-SVM. advantage designed suits more considerable dataset processing provides better results than traditional models. methodology utilized achieves an accuracy 97.12% MalayaKew dataset, 98.10% IMP 95.88% Flavia dataset. models surpass existing models, having improvement accuracy. These outcomes demonstrate suggested method successful accurately leaves plants, paving way advanced taxonomy medicine.

Язык: Английский

Процитировано

2
Biochar as a Fertilizer Replacement for Sustainable Agriculture DOI Creative Commons
Parwiz Niazi,

Zaland Hekmatullah,

Mohammad Usman Mohammad

и другие.

Journal for Research in Applied Sciences and Biotechnology, Год журнала: 2023, Номер 2(4), С. 8 - 18

Опубликована: Авг. 5, 2023

Biochar is a promising solution for pesticide pollution and soil degradation in agriculture. It improves fertilizer efficiency by increasing nutrient availability, acts as slow-release fertilizer. enhances fertility retaining nutrients, organic matter, water retention, microbial activity. also shows potential through chemical, processes. However, the sorption of pesticides on biochar can hinder degradation. Factors like feedstock, pyrolysis temperature, application rate influence biochar's retention capabilities. Understanding these factors crucial optimizing effectiveness agricultural systems.

Язык: Английский

Процитировано

6
Role of Microbial Communities in Compost and Plant Growth: Structure and Function DOI Creative Commons
Atiqullah Sarwari, Г. Ж. Абдиева, Mohammad Hassan Hassand

и другие.

European Journal of Theoretical and Applied Sciences, Год журнала: 2024, Номер 2(2), С. 23 - 37

Опубликована: Март 1, 2024

The review explores the microbial communities within composite composts, focusing on their role in decomposition and nutrient cycling, using advanced molecular techniques traditional microbiological assays, researchers examine diverse bacteria, fungi, archaea compost matrices, they highlight richness complexity of these ecosystems, adaptability to various environmental conditions, substrate compositions. Certain important groups microorganisms are essential for breaking down organic material, releasing nutrients, creating humic substances that vital soil health plant development. research also shows how makeup community conditions composting work together, which has a big impact well matures good final product is.

Язык: Английский

Процитировано

1
General Characteristics of Azerbaijan Forage Plants and Their Mycobiota and Mycological Safety Principles Applied During Use DOI Open Access
A. Yusifova, B. Asadova, Sanubar Aslanova

и другие.

Bulletin of Science and Practice, Год журнала: 2024, Номер 10(8), С. 66 - 74

Опубликована: Авг. 14, 2024

As it is known, all living things constantly exchange food and energy with the environment in order to continue their life activities participate ecological functions they perform nature, this situation ecologically both producers (plants), consumers (animals), reducers (fungi). bacteria). Nevertheless, dependence on of as well a more sensitive feature than that producers, since latter, i.e., fungi animals, are heterotrophs due nutrition, because cannot carry out process photosynthesis, depend organic matter, also, demand for oxygen met by another source, primarily plants. Due fact plants play an important role provision most things, comprehensive study has always been relevant today maintains status full force. result analysis literature data, possible state general data below.

Язык: Английский

Процитировано

1
Green area extraction with using NDVI and ArcGIS pro for Nitra cadastral area DOI Creative Commons

Shamshod Akmalov,

Dinislam Atakulov,

Dilbar Abduraimova

и другие.

BIO Web of Conferences, Год журнала: 2024, Номер 130, С. 02011 - 02011

Опубликована: Янв. 1, 2024

In recent years, the influence of humanity on nature has been increasing, and fact that it is especially negative worries scientists. During life plants, based process photosynthesis, carbon dioxide released into atmosphere by humans turns oxygen gas, which important for breathing. This unique to plants its alternatives have not found, so maintain balance green planet. It necessary control exploitation natural areas people. these studies, we determined relationship between man compiling NDVI index images high-resolution satellite remote sensing earth Sentinel-2 analyzing GIS program. According results research, current cadastral map Nitra area needs be changed, as compared previous one, expanded 3.1% due reduction construction area. That is, from 206.17 hectares 235.59 hectares. The reason this demolition low-rise buildings high- rise residents, well relocation residents buildings. Low-rise are demolished returned nature. did take much time load analyze data study draw conclusions. Therefore, only resource-saving, but also an tool speedy analysis quick decision-making. accuracy was checked previously created map.

Язык: Английский

Процитировано

0
Toxic Plants and Their Impact on Livestock Health and Economic Losses: A Comprehensive Review DOI Creative Commons
Tagesu Abdisa Serbessa, Tegegn Dilbato

Journal of Toxicology, Год журнала: 2024, Номер 2024(1)

Опубликована: Янв. 1, 2024

Plants are important components in sustaining the life of humans and animals, balancing ecosystems, providing animal feed edible food for human consumption, serving as sources traditional modern medicine. However, plants can be harmful to both animals when ingested, leading poisoning regardless quantity consumed. This presents significant risks livestock health impede economic growth. In several developing countries, including Ethiopia, communities have depended on medicinal treating diseases. The incidences from poisonous due misuse lack dosage standardization. Therefore, this paper aimed review toxic their effects associated losses. Toxic contain secondary metabolites that serve a defense mechanism against predators. most common affect economy include alkaloids (Asteraceae, Convolvulaceae, Lamiaceae, Fabaceae, Boraginaceae), cyanides ( Sorghum spp. grass spp.), nitrates Pennisetum purpureum roots , Amaranthus, nightshades Solanum Chenopodium spp., weed oxalates (Poaecea, Amaranthaceae, Polygonaceae), glycosides Pteridium aquiline ). teratogenic abortifacient (Locoweeds, Lupines, Poison Hemlock, Veratrum), hepatoxicity Crotalaria, Lantana camara, Xanthium, Senecio ), photosensitization L. Alternanthera philoxeroides, Brachiaria brizantha, Heracleum sphondylium impairing respiratory circulatory systems (nitrite cyanide toxic). lead substantial losses, direct indirect. Direct losses stem deaths, abortions, decreased milk quality, reduced skin hide production, while indirect with costs treatment management affected animals. Overall, negatively impact resulting repercussions. it is crucial prioritize identification prevalent plants, isolate metabolites, conduct toxicity tests, standardize dosages, develop effective strategies managing toxicity.

Язык: Английский

Процитировано

0