The incidence of swayback among lambs with particular reference to genetic factors

1969 ◽  
Vol 73 (1) ◽  
pp. 25-31 ◽  
Author(s):  
Gerald Wiener ◽  
M. R. Sampford
Keyword(s):  
Genetic Factors ◽  
Live Weight ◽  
Probit Analysis ◽  
Factors Affecting ◽  
Analysis Technique ◽  
The Given ◽  
Significant Factors

SUMMARYThe incidence of swayback among lambs in two flocks, previously reported, was reanalysed by a specially developed modification of the probit analysis technique in order to allow for the joint complications of an all-or-none trait and a large number of possible classifications for the animals in each flock. The form of analysis described yields predictions of the probability of swayback among lambs for the given circumstances.Breed and sire within breed each affected the probability appreciably even when allowance for live weight of ewe and lamb was made. The effects of live weight, though significant in each flock, were not consistent in direction between the flocks. Other significant factors affecting swayback incidence were the manner of rearing the lambs, week of birth, and, in one flock, the sex of the lamb.

scholarly journals Non-genetic factors affecting live weight and daily gain weight in Serrana Transmontano kids

2009 ◽  
Vol 84 (1-3) ◽  
pp. 125-128 ◽  
Author(s):  
M.R. Jiménez-Badillo ◽  
S. Rodrigues ◽  
C. Sañudo ◽  
A. Teixeira
Keyword(s):  
Genetic Factors ◽  
Live Weight ◽  
Factors Affecting ◽  
Daily Gain

Angora rabbit wool production: non-genetic factors affecting quantity and quality of wool

1991 ◽  
Vol 52 (2) ◽  
pp. 383-393 ◽  
Author(s):  
H. de Rochambeau ◽  
R. G. Thébault ◽  
J. Grun
Keyword(s):  
Genetic Factors ◽  
Live Weight ◽  
Factors Affecting ◽  
Coefficient Of Correlation ◽  
Wool Production ◽  
The Third ◽  
Adult Females ◽  
Autumn And Winter ◽  
Angora Rabbit

ABSTRACTA study was made of the wool production of 490 females and 137 males of a strain of French Angora rabbit. The female adults weighed 4107 g and produced 249 g of wool every 14 weeks. Production was low for the first harvest (35 g) which consisted mainly of short wool. It then increased rapidly (203 g for the third harvest). After the third harvest, three-quarters of long wool was also bristly. The length of bristles (102 mm) decreased by 4 mm, and that of downs (62 mm) increased by 3 mm when the harvest number went from two to four. The coefficient of correlation between wool production and live weight was lower than 0·30. Adult females born in autumn produced 16 g more than those born in summer. Wool production was at a maximum during autumn and winter harvests and at a minimum in summer.Winter fleeces had longer bristles and down than summer ones. Males produced well wool than females. When a female dropped a litter, her wool production decreases by proportionately 0·1 to 0·2. Bristly fleeces were clearly different from woolly fleeces on account of higher weight, homogeneity and compression. Objective criteria to evaluate tautness will have to found.

Modeling and Optimization of Process Parameters by Taguchi Method: Degradation of Phenolic Compounds by UV/H2O2/TiO2 Process

2011 ◽  
Vol 6 (1) ◽  
Author(s):  
Shilpa Nandwani ◽  
Arvind Kumar Mungray ◽  
Mousumi Chakraborty
Keyword(s):  
Taguchi Method ◽  
Cycle Time ◽  
Organic Pollutant ◽  
Orthogonal Experimental Design ◽  
Simulation Experiments ◽  
Factors Affecting ◽  
System Decomposition ◽  
Optimization Of Process Parameters ◽  
Analysis Technique ◽  
Significant Factors

In this study, Taguchi method was used to identify the several factors that may affect the percentage degradation of phenol and p-chlorophenol in wastewater in a UV/H2O2/TiO2 system. The percentage degradation of phenol and p-chlorophenol was greatly influenced by factors such as pH, cycle time and initial concentration of the organic pollutant. By using orthogonal experimental design and analysis technique, the UV/H2O2/TiO2 system performance can be analyzed with more objective conclusion through only a small number of simulation experiments. Analysis of variance (ANOVA) was carried out to identify the significant factors affecting the response and the best possible factor level combination was determined through. Finally, a regression model for percentage degradation of phenol and p-chlorophenol has been developed, as a function of system parameters. It was found that a UV/H2O2/TiO2 system decomposition of the organic pollutant were highly dependent on cycle time followed by pH of aqueous solution. The optimal settings of highest percentage degradation of phenol and p-chlorophenol in wastewater were also determined.

Simulation of non-stationary thermal fields from a buried thermally insulated pipeline and its diagnostics

2007 ◽  
Vol 5 ◽  
pp. 127-132
Author(s):  
N.A. Vaganova
Keyword(s):  
Thermal Imaging ◽  
Software Package ◽  
Clay Soil ◽  
Underground Pipeline ◽  
Main Pipeline ◽  
Factors Affecting ◽  
Thermal Fields ◽  
Thermal Imaging Equipment ◽  
Principal Possibility ◽  
Significant Factors

To detect damage to the underground pipeline, a mathematical model, allowing to take into account the most significant Factors affecting the distribution of temperature on the day surface. To implement this model, a software package has been developed and results of numerical calculations. With the help of these calculations, in particular, It is established that modern thermal imaging equipment has a principal possibility to determine an unauthorized frame in the main pipeline at a depth of two meters in clay soil.

scholarly journals The Level of Conus Medullaris in 629 Healthy Japanese Individuals

2021 ◽  
Vol 10 (14) ◽  
pp. 3182
Author(s):  
Hiroaki Nakashima ◽  
Keigo Ito ◽  
Yoshito Katayama ◽  
Mikito Tsushima ◽  
Kei Ando ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Magnetic Resonance ◽  
Pelvic Tilt ◽  
Pelvic Incidence ◽  
Multivariate Regression Analysis ◽  
Conus Medullaris ◽  
Magnetic Resonance Images ◽  
Factors Affecting ◽  
Adult Volunteers ◽  
Significant Factors

The conus medullaris typically terminates at the L1 level; however, variations in its level and the factors associated with the conus medullaris level are unclear. We investigated the level of conus medullaris on magnetic resonance imaging in healthy volunteers. In total, 629 healthy adult volunteers (≥50 individuals of each sex and in each decade of age from 20 to 70) were enrolled. The level of the conus medullaris was assessed based on the T2-weighted sagittal magnetic resonance images, and factors affecting its level were investigated employing multivariate regression analysis including the participants’ background and radiographical parameters. L1 was the most common conus medullaris level. Participant height was significantly shorter in the caudally placed conus medullaris (p = 0.013). With respect to the radiographical parameters, pelvic incidence (p = 0.003), and pelvic tilt (p = 0.03) were significantly smaller in participants with a caudally placed conus medullaris. Multiple regression analysis showed that the pelvic incidence (p < 0.0001) and height (p < 0.0001) were significant factors affecting the conus medullaris level. These results indicated that the length of the spinal cord varies little among individuals and that skeletal differences affect the level of the conus medullaris.

scholarly journals Genetic predictors of participation in optional components of UK Biobank

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Jessica Tyrrell ◽  
Jie Zheng ◽  
Robin Beaumont ◽  
Kathryn Hinton ◽  
Tom G. Richardson ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Genetic Variants ◽  
Genetic Factors ◽  
Mendelian Randomization ◽  
Genetic Correlations ◽  
Mr Studies ◽  
Uk Biobank ◽  
Factors Affecting ◽  
Participation Bias ◽  
Genetic Predictors

AbstractLarge studies such as UK Biobank are increasingly used for GWAS and Mendelian randomization (MR) studies. However, selection into and dropout from studies may bias genetic and phenotypic associations. We examine genetic factors affecting participation in four optional components in up to 451,306 UK Biobank participants. We used GWAS to identify genetic variants associated with participation, MR to estimate effects of phenotypes on participation, and genetic correlations to compare participation bias across different studies. 32 variants were associated with participation in one of the optional components (P < 6 × 10−9), including loci with links to intelligence and Alzheimer’s disease. Genetic correlations demonstrated that participation bias was common across studies. MR showed that longer educational duration, older menarche and taller stature increased participation, whilst higher levels of adiposity, dyslipidaemia, neuroticism, Alzheimer’s and schizophrenia reduced participation. Our effect estimates can be used for sensitivity analysis to account for selective participation biases in genetic or non-genetic analyses.

scholarly journals Factors Affecting Secondary Traumatic Stress of Nurses Caring for COVID-19 Patients in South Korea

2021 ◽  
Vol 18 (13) ◽  
pp. 6843
Author(s):  
Mee Sun Lee ◽  
Sujin Shin ◽  
Eunmin Hong
Keyword(s):  
Social Support ◽  
Regression Analysis ◽  
Traumatic Stress ◽  
Secondary Traumatic Stress ◽  
Direct Care ◽  
Hierarchical Regression ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Affect Patient Care ◽  
Significant Factors

The secondary traumatic stress (STS) of nurses caring for COVID-19 patients is expected to be high, and it can adversely affect patient care. The purpose of this study was to examine the degree of STS of nurses caring for COVID-19 patients, and we identified various factors that influence STS. This study followed a descriptive design. The data of 136 nurses who had provided direct care to COVID-19 patients from 5 September to 26 September 2020 were collected online. Hierarchical regression analysis was conducted to identify the factors influencing STS. Participants experienced moderate levels of STS. The regression model of Model 1 was statistically significant (F = 6.21, p < 0.001), and the significant factors influencing STS were the duration of care for patients with COVID-19 for more than 30 days (β = 0.28, p < 0.001) and working in an undesignated COVID-19 hospital (β = 0.21, p = 0.038). In Model 2, the factor influencing STS was the support of a friend in the category of social support (β = −0.21, p = 0.039). The nurses caring for COVID-19 patients are experiencing a persistent and moderate level of STS. This study can be used as basic data to treat and prevent STS.

The prediction of voluntary intake of grazing dairy cows

1986 ◽  
Vol 107 (1) ◽  
pp. 43-54 ◽  
Author(s):  
Lindsey Caird ◽  
W. Holmes
Keyword(s):  
Organic Matter ◽  
Measurement Techniques ◽  
Live Weight ◽  
Simple Equation ◽  
Factors Affecting ◽  
Farm Planning ◽  
Sward Height ◽  
The Mean ◽  
Major Factors ◽  
Grazing Dairy Cows

SUMMARYInformation on the total organic matter intake, concentrates supplied (C), live weight (LW), week of lactation (WL), milk yield (MY), herbage organic matter digestibility (HOMD), herbage mass, sward height (SHT) or herbage allowance (HAL) measured individually for 357 cows at one of three sites was assembled. Observed intake was compared with intakes predicted by existing intake equations and new prediction equations based on regression models or regression and least-squares constants were developed. Major factors affecting intake were MY, LW, WL, C and HAL or SHT. Although HOMD was correlated with intake, better predictions were obtained when HOMD was omitted. There were differences between sites possibly associated with differences in measurement techniques.The predictive value of some existing equations and new equations were tested against independent sets of data. A simple equation (A) based on MY and LW (Ministry of Agriculture, Fisheries and Food, 1975) gave satisfactory average predictions but the mean square prediction error (MSPE) was high. The equations of Vadiveloo & Holmes (1979) adjusted for bias gave a relatively low MSPE. The preferred new equations for grazing cattle included MY, LW, WL, C and HAL or SHT, and their MSPE were similar to or lower than for indoor equations.The discussion indicates that a simple equation (A) would give adequate predictions for farm planning. The more detailed equations illustrate the inter-relations of animal with sward conditions and concentrate allowances. Predicted intakes may deviate from actual intakes because of short-term changes in body reserves.

Sign in / Sign up

Export Citation Format

Share Document