INVESTIGATIONS ON THE RELATIONSHIP BETWEEN WINTERHARDINESS IN ROSES AND THE ELECTRIC IMPEDANCE MEASURED DURING THE GROWING PERIOD

1966 ◽  
Vol 46 (4) ◽  
pp. 441-448 ◽  
Author(s):  
Felicitas Svejda
Keyword(s):  
Air Temperature ◽  
Temperature Gradients ◽  
Regression Coefficients ◽  
Electric Impedance ◽  
Impedance Measurements ◽  
Growing Period ◽  
The Relationship

Differences were found in the electric impedance of rose cultivars and seedlings, measured periodically under greenhouse and field cultures. Generally, plants with the highest ranking means were also hardy, but the magnitude of the impedance was not strictly indicative of hardiness since hardy plants were found with relatively low impedances.Fluctuations in the weekly impedance measurements corresponded to the rise and fall of the air temperature. The impedance was negatively correlated to the temperature. Different impedance temperature regression coefficients were were found for different cultivars and seedlings. It is not known how these temperature gradients should be interpreted biologically, but it is assumed that they are significant for the adaptation of plants.

FURTHER OBSERVATIONS ON THE RELATIONSHIP BETWEEN WINTERHARDINESS IN ROSES AND THE ELECTRIC IMPEDANCE OF UNINJURED TISSUES

1970 ◽  
Vol 50 (4) ◽  
pp. 493-497 ◽  
Author(s):  
FELICITAS SVEJDA
Keyword(s):  
Plant Tissue ◽  
Woody Plant ◽  
Electric Impedance ◽  
Rosa Rugosa ◽  
Maternal Parent ◽  
Growing Period ◽  
The Relationship

The magnitude of the electric impedance of woody plant tissue was not found to be indicative of winterhardiness, when measured on uninjured tissues during the growing period. This was shown by comparing the impedances between (a) hardy Rosa rugosa cultivars and tender R. chinensis cultivars, (b) R. rugosa cultivars of different hardiness levels of different parentage, and (c) seedlings of different hardiness levels but with a common maternal parent. The disagreement of these results with results of other workers is discussed.Earlier findings which indicated that the magnitude of the electric impedance characterizes certain plant genotypes were confirmed.

AGRICULTURAL METEOROLOGY: CORRELATION OF AIR TEMPERATURES IN CENTRAL AND SOUTHERN ALBERTA AND SASKATCHEWAN WITH LATITUDE, LONGITUDE AND ALTITUDE

1938 ◽  
Vol 16c (1) ◽  
pp. 16-26 ◽  
Author(s):  
J. W. Hopkins
Keyword(s):  
Air Temperature ◽  
Local Variation ◽  
Temperature Gradients ◽  
Regression Coefficients ◽  
Regression Equations ◽  
Partial Regression ◽  
Air Temperatures ◽  
Southern Alberta ◽  
Different Seasons ◽  
Agricultural Meteorology

Linear partial regression coefficients of the 18-year average (1917–34) monthly mean air temperature recorded at 43 points in central and southern Alberta and Saskatchewan on latitude, longitude, and altitude were determined for each month of the year. The three series of coefficients each show an independent seasonal trend. The decrease in air temperature with altitude is greatest in summer and least in winter, whereas the gradient associated with longitude is most pronounced in winter and least in evidence in summer. The influence of latitude is likewise most pronounced in winter, but shows two minima, in spring and autumn respectively. The monthly regression equations account for most of the variance of the station averages, and hence provide a reasonably satisfactory graduation of the climatological temperature gradients characteristic of this area at different seasons of the year.These regression equations could not, however, be applied satisfactorily to the monthly averages for individual years, owing to greater local variation. Additional equations were therefore determined from the records for 1935 at 27 stations in the sub-area bounded by the 50th and 52nd parallels and the 104th and 108th meridians. The results suggest that further additions to the number of stations would still be desirable, and that if this was effected a fairly accurate graduation should be possible within this district, even in individual years.

scholarly journals Variation of Surface Air Temperature in Complex Terrain

2006 ◽  
Vol 45 (11) ◽  
pp. 1481-1493 ◽  
Author(s):  
L. Mahrt
Keyword(s):  
Spatial Variation ◽  
Air Temperature ◽  
Complex Terrain ◽  
Surface Air Temperature ◽  
Temperature Gradients ◽  
Eddy Correlation ◽  
Simple Relationship ◽  
Correlation Data ◽  
Thermally Driven ◽  
The Relationship

Abstract Data from three micronetworks with eddy correlation data and three additional micronetworks without eddy correlation data are analyzed to study the spatial variability of surface air temperature in complex terrain. A simple similarity relationship is constructed to relate the spatial variation of air temperature along the slope to the thermal forcing and mixing. Mixing is not included in present empirical formulations of the surface air temperature distribution in complex terrain. The development of surface temperature gradients along the slope, resulting from surface heating or cooling, is bounded by a maximum (or saturated) value, where a further increase of temperature gradients is restricted by redistribution of heat by thermally driven slope circulations. Although much of the spatial variation of the surface air temperature is governed by complex three-dimensionality and surface vegetation, a relatively simple relationship is able to account for much of the diurnal and day-to-day variation of the spatial distribution of air temperature. This relationship requires information on the surface heat flux and friction velocity over a reference surface. Required generalizations of the relationship are outlined before it can be applied to an arbitrary site.

scholarly journals Impact of air temperature and drug concentration on liquid emission from elastomeric pumps

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Tomoya Abe ◽  
Kazumasa Matsuzaka ◽  
Toshiaki Nakayama ◽  
Masanobu Otsuka ◽  
Atsunobu Sagara ◽  
...  
Keyword(s):  
Air Temperature ◽  
Anticancer Agents ◽  
Saline Solution ◽  
Emission Rate ◽  
Glucose Solution ◽  
Sufficient Information ◽  
Electronic Control ◽  
Rate Relationship ◽  
The Relationship ◽  
Total Fluid

Abstract Background Elastomeric pumps (EPs) are devices that allow quantitative and continuous drug administration without the need for electronic control, and they are used by being filled with anticancer agents. Although the package inserts of several manufacturers that provide EPs describe the relationship between the flow rate per unit time and temperature, the solution is only saline solution or 5% glucose solution, and data on anticancer drugs have not been published. In this study, we focused on 5-fluorouracil (5-FU), a drug frequently used in cancer chemotherapy, and examined the effect of changes in standard of EPs and temperature on drug emission. Methods We evaluated the EP data of patients treated with Baxter Infusor® LV5 and SV2.5 in terms of emission rate, relationship between 5-FU prescription amount and emission rate, and relationship between emission rate and monthly air temperature in LV5 and SV2.5. The number of EPs sampled in the study was N = 5708 (n = 2988 for LV5 and n = 2720 for SV2.5). Results In LV5, the emission rate varied from 88 to 97% (median 94.0%), whereas in SV2.5, the emission rate was observed as 97 to 98% (median 97.4%). The 5-FU prescription amount and the emission rate were not correlated in LV5 and SV2.5, respectively (LV5; y = − 0.0015x + 97.305, R2 = 0.0226, SV2.5; y = − 0.001x + 100.25, R2 = 0.0466). LV5 showed a higher emission rate in the months with higher air temperature and a lower emission rate in the month with lower air temperature. In addition, LV5 showed a significant reduction in emission rate compared with SV2.5 in all months (P < 0.001). Conclusions In this study, we clarified that air temperature is an important factor that affects the drug emission of EPs. Therefore, it is necessary to examine the conditions for total fluid volume suitable for the air temperature in each region and to provide sufficient information to patients.

scholarly journals BREED AND SEX EFFECTS ON THE RELATIONSHIP BETWEEN WEIGHT AND FATNESS IN LACOMBE AND YORKSHIRE SWINE AND THEIR RECIPROCAL CROSSES

1965 ◽  
Vol 45 (1) ◽  
pp. 33-36
Author(s):  
G. W. Rahnefeld
Keyword(s):  
Body Weight ◽  
Sex Differences ◽  
Regression Coefficients ◽  
Average Depth ◽  
Constant Weight ◽  
Reciprocal Crosses ◽  
Sex Effects ◽  
Female Mating ◽  
The Mean ◽  
The Relationship

The relationship between thickness of fat measured at the shoulder, last rib, and loin of live pigs and market weight (86.2 to 95.2 kg) was studied in 1596 pigs from the Lacombe and Yorkshire breeds and their reciprocal crosses. No significant breed or sex differences were found in the proportion of fat at the three sites. Breed and sex differences were evident in the average depth of fat. The regression coefficients for the mean of three fat measurements on market weight were.016 ±.003,.019 ±.007, and.017 ±.004 for Lacombe males, barrows, and females respectively;.039 ±.002,.036 ±.005, and.041 ±.001 for Yorkshire males, barrows and females respectively;.027 ±.005 and.029 ±.004 for barrows and females from the Lacombe male × Yorkshire female mating; and.023 ±.007 and.021 ±.009 for barrows and females from the Yorkshire male × Lacombe female mating. Comparisons between animals measured at a relatively constant weight should be made after the fat measurement is adjusted for variations in body weight. The results of this study indicate that separate corrections should be applied for each breed. Separate corrections for sexes within breeds do not appear warranted.

scholarly journals Conditional and marginal relative risk parameters for a class of recursive regression graph models

2018 ◽  
Vol 28 (10-11) ◽  
pp. 3466-3486
Author(s):  
Monia Lupparelli
Keyword(s):  
Relative Risk ◽  
Binary Data ◽  
Oral Morphine ◽  
Regression Coefficients ◽  
Relative Risks ◽  
Morphine Administration ◽  
Gaussian Case ◽  
Regression Graph ◽  
Risk Parameters ◽  
The Relationship

In linear regression modelling, the distortion of effects after marginalizing over variables of the conditioning set has been widely studied in several contexts. For Gaussian variables, the relationship between marginal and partial regression coefficients is well established and the issue is often addressed as a result of W. G. Cochran. Possible generalizations beyond the linear Gaussian case have been developed, nevertheless the case of discrete variables is still challenging, in particular in medical and social science settings. A multivariate regression framework is proposed for binary data with regression coefficients given by the logarithm of relative risks, and a multivariate Relative Risk formula is derived to define the relationship between marginal and conditional relative risks. The method is illustrated through the analysis of the morphine data in order to assess the effect of preoperative oral morphine administration on the postoperative pain relief.

The relationship between crop yield (or mean plant weight) of lettuce and plant density, length of growing period, and initial plant weight

1976 ◽  
Vol 86 (1) ◽  
pp. 83-91 ◽  
Author(s):  
M. A. Scaife ◽  
D. Jones
Keyword(s):  
Time Course ◽  
Plant Density ◽  
Unit Area ◽  
Subterranean Clover ◽  
Plant Weight ◽  
Relative Growth ◽  
Growing Period ◽  
Lettuce Growth ◽  
Log Linear ◽  
The Relationship

SUMMARYLettuce obeys the Shinozaki–Kira relationship in which the reciprocal of plant weight is linearly related to plant density. The intercept (a) represents the reciprocal of the weight of an isolated plant and the slope (b) represents the reciprocal of yield/unit area at high densities (the ‘ceiling yield’). This work examines the time course of (a) and (b) in an ‘ideal environment’ in which water and nutrients are non-limiting, and the light/temperature regime is constant.Two pot experiments are described: the first showed that the growth of isolated lettuces follows a logistic expression, which can therefore be substituted for a–1 in the Shinozaki-Kira equation. It was then hypothesized that b–1, the ‘ceiling yield’ would be constant over time. This was confirmed by the second experiment, giving the equationw–1t = w–10 e1–kt × w–1max × bd,in which wt is mean plant weight at time t, w0 and wmax are the initial and final weights of isolated plants, k is the early relative growth rate of such plants, b–1 is the constant ceiling yield, and d is the plant density.Two examples of the use of the equation are given: one shows how it predicts the interaction between seed size and plant density within a species (subterranean clover): the other illustrates how it can be used to explain why lettuce growth appears to be log-linear against time whereas cereal growth is more nearly just linear.

scholarly journals Assessment of the Relationship between Cerebrospinal Meningitis and Climate Variables in Kaduna State, Nigeria

2021 ◽  
pp. 33-41
Author(s):  
Joyce Imara Nchom ◽  
A. S. Abubakar ◽  
F. O. Arimoro ◽  
B. Y. Mohammed
Keyword(s):  
Relative Humidity ◽  
Air Temperature ◽  
Linear Trend ◽  
Pearson Correlation ◽  
Maximum Temperature ◽  
Data Set ◽  
International Research Institute ◽  
Wind Speed Maximum ◽  
Weather Parameters ◽  
The Relationship

This study examines the relationship between Meningitis and weather parameters (air temperature, maximum temperature, relative humidity, and rainfall) in Kaduna state, Nigeria on a weekly basis from 2007–2019. Meningitis data was acquired weekly from Nigeria Centre for Disease Control (NCDC), Bureau of Statistics and weather parameters were sourced from daily satellite data set National Oceanic and Atmospheric Administration (NOAA), International Research Institute for Climate and Society (IRI). The daily data were aggregated weekly to suit the study. The data were analysed using linear trend and Pearson correlation for relationship. The linear trend results revealed a weekly decline in Cerebro Spinal Meningitis (CSM), wind speed, maximum and air temperature and an increase in relative humidity and rainfall. Generally, results reveal that the most important explanatory weather variables influencing CSM amongst the five (5) are the weekly maximum temperature and air temperature with a positive correlation of 0.768 and 0.773. This study recommends that keen interest be placed on temperature as they play an essential role in the transmission of this disease and most times aggravate the patients' condition.

scholarly journals The impact of the air temperature on measuring the zenith angle during the year in the ground layer of the atmosphere for the needs of engineering surveying

2021 ◽  
Vol 61 (3) ◽  
pp. 476-488
Author(s):  
Tomáš Suk ◽  
Martin Štroner
Keyword(s):  
Czech Republic ◽  
Numerical Model ◽  
Central Europe ◽  
Air Temperature ◽  
Zenith Angle ◽  
Geographical Area ◽  
Temperature Gradients ◽  
The Czech Republic ◽  
Different Seasons ◽  
The Impact

This paper presents the results of over a year-long experiment dealing with a temperature measurement to calculate the theoretical effect of the atmosphere on the measured zenith angle in engineering surveying. The measurements were performed to determine the accurate and specific temperatures (temperature gradients), which can be recorded in different seasons in the low level of the atmosphere (up to 2 m above the ground, where most Engineering Surveying measurements take place) for the geographical area of Central Europe - specifically the Czech Republic. A numerical model was then applied to the resulting determined temperature gradients to calculate the path of the beam passing through an inhomogeneous atmosphere. From these values, the apparent vertical shifts caused by refraction in a given environment and time were finally determined.

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