Estimating water consumption and factors affecting intake in grazing cattle

1994 ◽  
Vol 74 (3) ◽  
pp. 551-554 ◽  
Author(s):  
Shaukat Ali ◽  
L. A. Goonewardene ◽  
J. A. Basarab
Keyword(s):  
Relative Humidity ◽  
Key Words ◽  
Water Consumption ◽  
Important Determinant ◽  
Daily Temperature ◽  
Maximum Daily Temperature ◽  
Factors Affecting ◽  
Percentage Decrease ◽  
Grazing Cattle

Water consumption (WC) by 39.5 animal units (AU) of grazing cattle was studied at a central Alberta site in summer. Average WC AU−1 was estimated at 48.9 L d−1. WC increased by 0.68 L AU−1 (P < 0.01) for each percentage decrease in relative humidity, increased by 0.81 L AU−1 (P < 0.02) for each degree Celsius increase in maximum daily temperature, and increased by 0.15 L AU−1 (P < 0.06) as cattle grew and the season progressed. Relative humidity is shown to be an important determinant of WC in grazing cattle. Key words: Water consumption, animal unit, temperature, humidity, grazing cattle

scholarly journals Investigating a Serious Challenge in the Sustainable Development Process: Analysis of Confirmed cases of COVID-19 (New Type of Coronavirus) Through a Binary Classification Using Artificial Intelligence and Regression Analysis

2020 ◽  
Vol 12 (6) ◽  
pp. 2427 ◽  
Author(s):  
Behrouz Pirouz ◽  
Sina Shaffiee Haghshenas ◽  
Sami Shaffiee Haghshenas ◽  
Patrizia Piro
Keyword(s):  
Artificial Intelligence ◽  
Sustainable Development ◽  
Relative Humidity ◽  
Development Process ◽  
Binary Classification ◽  
Daily Temperature ◽  
Maximum Daily Temperature ◽  
The Sustainable Development ◽  
Epidemic Diseases

Nowadays, sustainable development is considered a key concept and solution in creating a promising and prosperous future for human societies. Nevertheless, there are some predicted and unpredicted problems that epidemic diseases are real and complex problems. Hence, in this research work, a serious challenge in the sustainable development process was investigated using the classification of confirmed cases of COVID-19 (new version of Coronavirus) as one of the epidemic diseases. Hence, binary classification modeling was used by the group method of data handling (GMDH) type of neural network as one of the artificial intelligence methods. For this purpose, the Hubei province in China was selected as a case study to construct the proposed model, and some important factors, namely maximum, minimum, and average daily temperature, the density of a city, relative humidity, and wind speed, were considered as the input dataset, and the number of confirmed cases was selected as the output dataset for 30 days. The proposed binary classification model provides higher performance capacity in predicting the confirmed cases. In addition, regression analysis has been done and the trend of confirmed cases compared with the fluctuations of daily weather parameters (wind, humidity, and average temperature). The results demonstrated that the relative humidity and maximum daily temperature had the highest impact on the confirmed cases. The relative humidity in the main case study, with an average of 77.9%, affected positively, and maximum daily temperature, with an average of 15.4 °C, affected negatively, the confirmed cases.

scholarly journals Effect of climatological factors on respiratory syncytial virus epidemics

2008 ◽  
Vol 136 (10) ◽  
pp. 1328-1332 ◽  
Author(s):  
D. E. NOYOLA ◽  
P. B. MANDEVILLE
Keyword(s):  
Respiratory Syncytial Virus ◽  
Relative Humidity ◽  
Barometric Pressure ◽  
Daily Temperature ◽  
Dew Point ◽  
Atmospheric Conditions ◽  
Regression Analyses ◽  
Maximum Daily Temperature ◽  
Explained Variation ◽  
Syncytial Virus

SUMMARYRespiratory syncytial virus (RSV) presents as yearly epidemics in temperate climates. We analysed the association of atmospheric conditions to RSV epidemics in San Luis Potosí, S.L.P., Mexico. The weekly number of RSV detections between October 2002 and May 2006 were correlated to ambient temperature, barometric pressure, relative humidity, vapour tension, dew point, precipitation, and hours of light using time-series and regression analyses. Of the variation in RSV cases, 49·8% was explained by the study variables. Of the explained variation in RSV cases, 32·5% was explained by the study week and 17·3% was explained by meteorological variables (average daily temperature, maximum daily temperature, temperature at 08:00 hours, and relative humidity at 08:00 hours). We concluded that atmospheric conditions, particularly temperature, partly explain the year to year variability in RSV activity. Identification of additional factors that affect RSV seasonality may help develop a model to predict the onset of RSV epidemics.

Modèles d'évolution du manteau nival et de la fonte des neiges

1989 ◽  
Vol 16 (3) ◽  
pp. 219-226
Author(s):  
Saâd Bennis ◽  
Paul-Édouard Brunelle
Keyword(s):  
Snow Cover ◽  
Key Words ◽  
Drainage Basin ◽  
Daily Temperature ◽  
Snow Pack ◽  
Snowmelt Runoff ◽  
Maximum Daily Temperature ◽  
Temperature And Precipitation ◽  
Simulation Results ◽  
Runoff Model

The predictive snowmelt runoff model (SRM), previously suggested by other authors, is reliable and easy to use. Furthermore, the only parameters required are temperature and precipitation, and density and thickness of the snow pack. The literature available indicates that simulation results with this model are generally satisfactory. However, data on the extent of the snow cover are not always available; this means that the snow pack must be calculated before the SRM can be used. Our purpose herein is to develop a model to evaluate the snowpack, which is to be used in conjunction with the SRM. The SRM was modified in that maximum daily temperature was used instead of the number of degrees-days. The snowmelt and snow cover models were calibrated and tested along the drainage basin of the Eaton River, a tributary of the Saint-François River in the province of Quebec. Key words: snowmelt, prediction, flooding. [Journal translation]

ANALYSIS OF INNOVATION ACTIVITIES OF ENTERPRISES OF KAZAKHSTAN

2020 ◽  
Vol 384 (2) ◽  
pp. 137-145
Author(s):  
Zh. Abylkassimova ◽  
G. Orynbekova ◽  
М. Alibayeva ◽  
O. Osadchaya
Keyword(s):  
Key Words ◽  
Added Value ◽  
Human Potential ◽  
Innovation Activity ◽  
Factors Affecting ◽  
Innovation Potential ◽  
Innovation Activities ◽  
Innovation Economy

The article noted that the development of the innovation potential of enterprises in the regions of Kazakhstan contributes to the transition of the innovation economy, where goods with high added value will be produced. The article examines the factors affecting the innovation activity of the regions, considers the dynamics of innovation activity and identifies problems and tools for the development of innovative entrepreneurship. Key words: innovation, innovation activity, region, industrialization, human potential, infrastructure

EFFECTS OF ENVIRONMENT ON GROWING HYDROPONICS MAIZE FODDER USING LOW-COST GREENHOUSE CULTIVATING UNIT FOR LIVESTOCK PRODUCTION.

2021 ◽  
pp. 71-72
Author(s):  
Adamu, B. ◽  
Abdullahi, S. ◽  
Saidu, S. G ◽  
Yustus Sunday Francis
Keyword(s):  
Relative Humidity ◽  
Environmental Factors ◽  
Production System ◽  
Low Cost ◽  
Factors Affecting ◽  
Production Water ◽  
Fodder Production ◽  
Food Requirement ◽  
Greenhouse Cultivation ◽  
Near Future

The term 'Hydroponics' was derived from Greek words 'hydro' means water and 'ponics' means labor. Hydroponic is a modern agricultural technique that uses nutrient solution rather than soil solution for fodder production. As population increases the food demand also increased, the existing system of agriculture will not be able to meet the food requirement in the near future due to environmental challenges in the industry. The major environmental factors affecting the hydroponics production system are; Temperature, relative humidity, and light. The objectives of this studies are to examine the hydroponics greenhouse technologies, impact of environmental factors on hydroponics greenhouse cultivation and challenges of growing on hydroponics greenhouse system. This study revealed that hydroponics greenhouse cultivation is a better option for improved fodder production, water utilization, palatability and digestibility.

scholarly journals Farmers’ participation in Water User Association in western Iran

2017 ◽  
Vol 35 (1) ◽  
pp. 49-56 ◽  
Author(s):  
Saeed Gholamrezai ◽  
Fatemeh Sepahvand
Keyword(s):  
Water Resources ◽  
Water Consumption ◽  
User Association ◽  
Factors Affecting ◽  
Water User ◽  
Water User Association ◽  
Agriculture Sector ◽  
Water Pumping ◽  
Pumping Stations ◽  
Agriculture Water

AbstractOne of the main challenges of water scarcity is the water consumption in the agriculture sector. Therefore, optimizing water consumption and applying an optimal management in the agriculture sector is necessary. The implementation of a participatory management of water resources in the rural areas and the creation of Water User Association (WUA) can be a successful approach towards this management. That requires the continuity of the management, the comprehensive participation of farmers, and the exploitation of water resources; however, this action needs to understand the factors affecting the behavior of consumers. Thus identifying the factors influencing farmers’ intentions towards participation in WUA is essential. The purpose of this study is to identify factors affecting farmers' intentions towards participation in water user association, by theory of planned behavior (TPB). There are 21 agriculture water pumping stations active in Lorestan Province. Farmers at each agriculture water pumping stations make up a Water User Association. The population of this study consisted of all WUAs in western Iran (N = 1990), and through a proportional stratified random sampling technique farmers were selected (N = 133) from the population. Moreover, the validity of the questionnaire was confirmed by a panel of experts. The reliability of the questionnaire was calculated at pre-test stage for different parts of the questionnaire ranging from 0.83 until 0.91. The collected data were analyzed using Statistical Package for the Social Sciences 20 software. The results revealed that there were effective variables including subjective norm, attitude, and extension training courses which contributed to the importance of participation in the water management, and that the educational level of farmer was a controlled variable that could affect farmers' attitudes towards participating in Water User Association; these factors could explain 53% of farmers' participation totally.

scholarly journals Environmental Factors Affecting the Diversity and Photosynthetic Pigments of Trentepohlia Species in Northern Thailand’s Chiang Dao Wildlife Sanctuary

2020 ◽  
Vol 89 (1) ◽  
Author(s):  
Santi Saraphol ◽  
Srunya Vajrodaya ◽  
Ekaphan Kraichak ◽  
Anchalee Sirikhachornkit ◽  
Nuttha Sanevas
Keyword(s):  
Relative Humidity ◽  
Environmental Factors ◽  
Photosynthetic Pigments ◽  
Dominant Species ◽  
Winter Season ◽  
Morphological Identification ◽  
Wildlife Sanctuary ◽  
Total Carotenoids ◽  
Carotene Content ◽  
Factors Affecting

This study addressed the environmental factors that affect <em>Trentepohlia</em> spp. in the Chiang Dao Wildlife Sanctuary at altitudes of 399 to 1,503 meters above sea level (m a.s.l.) during the rainy, winter, and summer seasons. Species were identified using characteristic morphological identification. The influence of environmental factors on the algae was analyzed using a statistical program, and seasonal changes in the quantity of photosynthetic pigments in the dominant species were evaluated. The average relative humidity was 69.34 ± 12.90%, the average temperature was 26.23 ± 3.79 °C, and the average light intensity was 139.78 ± 42.21 µmol photon m<sup data-id="superscript-1">−2</sup> s<sup data-id="superscript-2">−1</sup>. Thirteen species were found: <em>Trentepohlia chapmanii</em>, <em>Trentepohlia</em> sp. 1, <em>Trentepohlia</em> sp. 2, <em>Trentepohlia sundarbanensis</em>, <em>Trentepohlia</em> sp. 3, <em>Trentepohlia rigidula</em>, <em>Trentepohlia</em> sp. 4, <em>Trentepohlia effusa</em>, <em>Trentepohlia monilia</em>, <em>Trentepohlia abietina</em>, <em>Trentepohlia</em> sp. 5, <em>Trentepohlia aurea</em>, and <em>Trentepohlia umbrina</em>. The largest number of species (seven to nine) were found at lower altitudes, from 473 to 517 m a.s.l. Species diversity was greatest in the winter season (13 species). Species found at low attitude were grouped together (Group 1) and had the greatest diversity, and the remaining species were divided into Groups 2, 3, and 4. Environmental factors had both positive and negative influences on the species, especially <em>T. chapmanii</em>, which was found below 1,003 m a.s.l., and <em>T. monilia</em>, which was found in areas with a high relative humidity of 74.50% to 83.93%. The ratio of the total carotenoids to chlorophyll of <em>T. rigidula</em>, the dominant species, was relatively high at 4.96:1, and the β-carotene content (46.89 %w/w) was highest during winter.

scholarly journals Nutritional Changes and Early Warning of Moldy Rice under Different Relative Humidity and Storage Temperature

Foods ◽  
2022 ◽  
Vol 11 (2) ◽  
pp. 185
Author(s):  
Jing Du ◽  
Yingxue Lin ◽  
Yuan Gao ◽  
Yanyan Tian ◽  
Jixiang Zhang ◽  
...  
Keyword(s):  
Fatty Acid ◽  
Relative Humidity ◽  
Early Warning ◽  
Storage Temperature ◽  
Starch Content ◽  
Protein Secondary Structure ◽  
Principal Component ◽  
Storage Conditions ◽  
Factors Affecting ◽  
Total Starch

Processed unhusked rice is prone to mildew during storage. In this study, the storage conditions were simulated at temperatures of 20, 30, and 35 °C and a relative humidity of 40%, 60% and 80%, respectively. The water, fatty acid, and total starch content and the peak viscosity, mold colony number, protein secondary structure, and spatial structure of rice were monitored in order to propose the critical point of mildew during storage. In the process of rice from lively to moldy, the water content, fatty acid contents and the peak viscosity were increased. The total starch content decreased and then showed a slow increasing trend, while the microstructure of the powder particles changed from smooth and complete to loosen and hollow. With the increase in storage time, the vibration of the amide Ⅰ band of the rice samples decreased slightly, indicating that the total contents of β-fold, β-turn, α-helix, and random curl of the rice protein also changed. PCA (Principal Component Analysis) analysis showed that rice mildew index was closely related to temperature and humidity during storage. In our investigation, the best and most suitable temperature and relative humidity for rice storge is 20 °C and 40%, respectively. These results suggested that temperature and environmental humidity are vital factors affecting the physicochemical properties and nutrient changes, which provides a theoretical basis for the early warning of rice mildew during storage.

Control of Florida Beggarweed and Sicklepod in Peanuts with Dinoseb1

1974 ◽  
Vol 1 (2) ◽  
pp. 40-44 ◽  
Author(s):  
Ellis W. Hauser ◽  
Gale A. Buchanan
Keyword(s):  
Daily Temperature ◽  
Single Treatment ◽  
Cassia Obtusifolia ◽  
Maximum Daily Temperature ◽  
Weed Growth ◽  
Previously Treated ◽  
Naphthylphthalamic Acid ◽  
Cool Conditions

Abstract Florida beggarweed (Desmodium tortuosum (Sw.) DC.) and sicklepod (Cassia obtusifolia L.), two of the worst weeds in peanuts grown in the Southeastern states, were most susceptible to dinoseb (the alkanolamine salt of 2-sec-butyl-4, 6-dinitrophenol) applied to seedlings before the true leaves expanded. If either of these weeds was not controlled by the first application of dinoseb, especially at the lowest rate of 0.63 kg/ha, it often survived later applications and became a problem when harvesting the peanuts. Sicklepod growing in soil previously treated with vernolate (S-propyl dipropylthiocarbamate) was more susceptible to low rates of dinoseb than sicklepod growing in soil free of vernolate. A single treatment of dinoseb at 0.63 kg/ha killed seedling Florida beggarweed if the maximum daily temperature exceeded 32C; however, twice that rate was necessary under cool conditions. Repeated treatments with higher rates (such as 1.26 kg/ha) of dinoseb usually were necessary for satisfactory control of sicklepod. However, where dinoseb did not kill the early weeds, repeated treatments suppressed weed growth and reduced the mass of weeds present at harvest. Peaunt plants generally tolerated the repeated dinoseb treatments, although yields trended lower if dinoseb at 1.26 kg/ha was applied after treatment with naptalam (N-1-naphthylphthalamic acid). However, any reduction in yields of peanuts attributable to either naptalam or dinoseb treatments was much less than potential reductions in yield from uncontrolled sicklepod and Florida beggarweed.

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