Relationship between maximum daily temperature and mortality of broiler chickens during transport and lairage

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

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Control of Florida Beggarweed and Sicklepod in Peanuts with Dinoseb1

Peanut Science ◽

10.3146/i0095-3679-1-2-1 ◽

1974 ◽

Vol 1 (2) ◽

pp. 40-44 ◽

Cited By ~ 9

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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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

Sustainability ◽

10.3390/su12062427 ◽

2020 ◽

Vol 12 (6) ◽

pp. 2427 ◽

Cited By ~ 70

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.

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CORRELATION COMMUNICATION BETWEEN METEOROLOGICAL PARAMETERS AT EXTREME VALUES OF MAXIMUM AIR TEMPERATURES

Hydrology, hydrochemistry and hydroecology ◽

10.17721/2306-5680.2020.1.11 ◽

2020 ◽

pp. 101-112

Author(s):

S.V. Savchuk ◽

V.E. Timofeev ◽

O.A. Shcheglov ◽

V.A. Artemenko ◽

I.L. Kozlenko

Keyword(s):

Air Temperature ◽

Meteorological Parameters ◽

Extreme Values ◽

Daily Temperature ◽

Sea Level Pressure ◽

Maximum Daily Temperature ◽

The North ◽

Air Temperatures ◽

Average Maximum ◽

Maximum Air Temperature

The object of the study is the maximum daily air temperature during the months of the year over 1991-2016 by the data of 186 meteorological stations of Ukraine. Extreme values of the maximum daily temperature equal to or exceeded their 95th (Tmax95p and above, ºС) percentile were taken as extreme. The article sets the dates (137 cases) of extreme values of maximum air temperature on more than 60 % of the territory. For these dates, 13 meteorological parameters were selected: average, minimum, and maximum air temperatures; average, minimum and maximum relative humidity; station and sea-level pressure; average, maximum (from 8 synoptic hours) wind speed; rainfall; height of snow cover. The purpose of this work is to determine the correlation coefficient (K), in particular, statistically significant (K≤-0.6, K≥0.6), on these dates between selected meteorological parameters at 186 meteorological stations of Ukraine for 1991-2013. The density of the cases of statistically significant dependence between the meteorological parameters in extremely warm days in separate seasons is determined. In extremely warm days, meteorological parameters and areas with statistically significant correlations at K≤-0.6 were detected: T and F (focally in southern and some western regions with significant density) − in winter; T and F (with the highest density ubiquitous or almost ubiquitous), P and V (in a large number of regions, usually west or right-bank, but with less frequency) − in the transition seasons, and in the autumn between − T and F (in the south with smaller density) and P and F (in some areas of the north, northwest, west, lower east). In all seasons, such a correlation between other meteorological parameters had a focal distribution, usually with a smaller density. In these days, a focal distribution with a small frequency of dependencies at K≥0.6 was found between the meteorological parameters detected (F and V in transition seasons, T and F in winter), except for similar ones. However, such dependence is observed between T and V in some regions in winter and autumn and in some areas of south, southeast, east with a smaller density. The study of the maximum daily temperature is relevant, because from the level of natural hydrometeorological phenomena it is accompanied by dangerous phenomena, negatively affecting the weather dependent industries.

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Tree climbing by the snail Cepaea nemoralis (L.): a possible method for regulating temperature and hydration

Canadian Journal of Zoology ◽

10.1139/z79-128 ◽

1979 ◽

Vol 57 (5) ◽

pp. 1010-1014 ◽

Cited By ~ 27

Author(s):

Renata Jaremovic ◽

C. David Rollo

Keyword(s):

Habitat Structure ◽

Soil Surface ◽

Daily Temperature ◽

Maximum Daily Temperature ◽

Cepaea Nemoralis ◽

Color Morphs ◽

Selection Of

Three sheltering strategies employed by the snail Cepaea nemoralis are described: climbing objects, aestivating on the soil surface, and returning to underground refuges. The number of snails that climbed bushes was analysed by correlation regression. An equation incorporating maximum daily temperature, rainfall for the last 3 days, and the interaction of these factors explained 95% of the variation observed (P < 0.0001). Snails more than 1.8 m above the ground were significantly more dehydrated than those individuals found lower (P < 0.05). The distance climbed by snails, however, was not related to their size (P = 0.4112). The interrelationship of habitat structure, sheltering behavior, and microclimate is discussed in relation to selection of color morphs.

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Field Response of Peas to Excess Heat during the Reproductive Stage of Growth

Journal of the American Society for Horticultural Science ◽

10.21273/jashs.115.6.898 ◽

1990 ◽

Vol 115 (6) ◽

pp. 898-900 ◽

Cited By ~ 8

Author(s):

Floyd V. Pumphrey ◽

Robert E. Ramig

Keyword(s):

Adverse Effect ◽

Regression Analysis ◽

Pisum Sativum ◽

Reproductive Stage ◽

Daily Temperature ◽

Maximum Daily Temperature ◽

Excess Heat ◽

Degree Day ◽

Field Response

Regression analysis was used to establish the effect of maximum daily temperatures on fresh pea (Pisum sativum L.) yield during the reproductive stage of growth. Maximum daily temperatures below 25.6C had little influence on pea yield. Temperatures above 25.6C depressed yield; this adverse effect increased exponentially as maximum daily temperature increased linearly. Predicted decrease in fresh pea yield ranged from 16 kg/ha per heat degree day above 27C to 67 kg/ha per heat degree day above 35C.

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Effect of heat and precipitation on pea yield and reproductive performance in the field

Canadian Journal of Plant Science ◽

10.4141/cjps-2014-342 ◽

2015 ◽

Vol 95 (4) ◽

pp. 629-639 ◽

Cited By ~ 22

Author(s):

Rosalind A. Bueckert ◽

Stacey Wagenhoffer ◽

Garry Hnatowich ◽

Thomas D. Warkentin

Keyword(s):

Reproductive Performance ◽

Crop Growth ◽

Daily Temperature ◽

Growth And Yield ◽

Maximum Temperature ◽

Future Research ◽

Yield Reduction ◽

Weather Factors ◽

Reproductive Growth ◽

Maximum Daily Temperature

Bueckert, R. A., Wagenhoffer, S., Hnatowich, G. and Warkentin, T. D. 2015. Effect of heat and precipitation on pea yield and reproductive performance in the field. Can. J. Plant Sci. 95: 629–639. Pea (Pisum sativum L.) is important globally as a cool season crop. Pea cultivars are heat-sensitive so our goal was to investigate how weather impacted growth and yield in recent cultivars in the Co-operative pea yield trials (2000 to 2009) for a dryland (Saskatoon) and an irrigated (Outlook) location. We explored relationships between days to maturity, days spent in reproductive growth (flowering to maturity), yield and various weather factors. Yield and the length of reproductive growth increased with seasonal precipitation. Pea was sensitive to heat but heat units did not satisfactorily describe growth and yield in all environments. Strong relationships were observed between crop growth and mean maximum daily temperature experienced during reproductive growth, and between crop growth and mean minimum temperature. The greater the mean maximum temperature (>25.5°C), the fewer the number of days (<35) spent in reproductive growth at the dryland location. At Outlook, 35 to 40 d in reproductive growth occurred in a much wider temperature range from 24.5 to 27°C, and irrigation mitigated some reduction in yield. For dryland pea, more than 20 d in the season above 28°C were associated with less time in reproductive growth and less yield. The threshold maximum temperature for yield reduction in the field was closer to 28°C than 32°C from published studies, and above 17.5°C mean seasonal daily temperature. Western Canadian cultivars currently have short lifecycles, which make them heat sensitive. Heat tolerance could be improved by earlier flowering and a longer duration of flowering via an indeterminate habit. Future research will investigate pea nodal development, flowering and abortion patterns in a range of pea cultivars in field conditions.

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A stochastic model for the analysis of maximum daily temperature

Theoretical and Applied Climatology ◽

10.1007/s00704-016-1879-6 ◽

2016 ◽

Vol 130 (1-2) ◽

pp. 275-289 ◽

Cited By ~ 7

Author(s):

B. Sirangelo ◽

T. Caloiero ◽

R. Coscarelli ◽

E. Ferrari

Keyword(s):

Stochastic Model ◽

Daily Temperature ◽

Maximum Daily Temperature

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Climatic Factors and the Incidence of Pyelonephritis During Pregnancy

Infectious Diseases in Obstetrics and Gynecology ◽

10.1155/s1064744995000688 ◽

1995 ◽

Vol 3 (6) ◽

pp. 226-228 ◽

Cited By ~ 2

Author(s):

John D. Busowski ◽

Ronald A. Chez

Keyword(s):

Chart Review ◽

Climatic Factors ◽

Retrospective Chart Review ◽

Tampa Bay ◽

Daily Temperature ◽

Dew Point ◽

Maximum Daily Temperature ◽

Disease States ◽

Bay Area ◽

Meteorologic Factors

Objective:Numerous published reports have linked various disease states and pregnancy-related conditions with meteorologic factors such as weather, humidity, and temperature. The purpose of this study was to determine if temperature and dew point affect the incidence of pyelonephritis during pregnancy.Methods:A retrospective chart review of a 4-year period from 1989 to 1992 was performed. The records of women who were diagnosed with pyelonephritis during pregnancy were abstracted for the dates of admission. The climatic records of the Tampa Bay area of Florida were obtained from the National Weather Service.Results:The average, minimum, or maximum daily temperature or average daily dew point during the month of admission had no significant effect on the rate of pyelonephritis during pregnancy in the Tampa Bay area.Conclusions:The rate of pyelonephritis during pregnancy per number of deliveries in the Tampa Bay area was not affected by the average, minimum, or maximum daily temperature or average daily dew point.

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