scholarly journals Modeling the effect of age at calving × breed group of dam's interaction on weaning weight of Charolais-Zebu crossbred calves

2010 ◽  
Vol 39 (5) ◽  
pp. 1046-1057 ◽  
Author(s):  
Fábio Luiz Buranelo Toral ◽  
Roberto Augusto de Almeida Torres Júnior ◽  
Paulo Sávio Lopes ◽  
Luiz Otávio Campos da Silva ◽  
João Cruz Reis Filho
Keyword(s):  
Group Interaction ◽  
Least Square Method ◽  
Genetic Group ◽  
Least Square ◽  
Regression Coefficients ◽  
Weaning Weight ◽  
Breed Group ◽  
Group Sex ◽  
Squared Residuals ◽  
Best Fit

The objective of this study was to evaluate alternatives for modeling the interaction between age of dam at calving (AOD) and the dam genetic group (DGG) on the weaning weight (W225) of Charolais-Zebu (Ch-Z) crossbred calves. Data from 56,965 crossbred calves were analyzed by the least square method. Regression coefficients for age of dam at calving were estimated nested into each class of the dam genetic group (CLA model); for age of dam at calving × dam Charolais percentage (age of dam at calving × FCh) and age of dam at calving × dam heterozygosity (age of dam at calving × FH) (FChFH model); for age of dam at calving × dam Charolais percentage (FCh model); for age of dam at calving × FH (FH model); or only for age of dam at calving (NINT model). Segmented polynomials were used to model the general shape of the age of dam at calving effect and its interaction with dam genetic group. The knots were at 6.33 and 10.66 years of age of dam at calving and general linear and quadratic coefficient regression and specific quadratic coefficient regression after each knot were fitted. The regression coefficients were estimated nested within sex of the calf in all situations. According to the F test for sum of squared residuals differences, the inclusion of the age of dam at calving × FH interaction did not improve the fit of the model and the CLA model provided the best fit. However, the estimates of the age of dam at calving and dam genetic group interaction from the CLA model for dam genetic group × sex of the calf classes with few records were not appropriate, but the estimates of the age of dam at calving and dam genetic group interaction from the FCh model for those classes were appropriate. The differences were small in the estimates of the age of dam of calving and dam genetic group interaction from the CLA or FCh models for dam genetic group × sex of the calf classes with many records.

Direct Assessment of Effective Renal Plasma Flow from Renoscintigraphy with a Gamma Camera and an On-Line Computer

1981 ◽  
Vol 20 (06) ◽  
pp. 274-278
Author(s):  
J. Liniecki ◽  
J. Bialobrzeski ◽  
Ewa Mlodkowska ◽  
M. J. Surma
Keyword(s):  
Count Rate ◽  
Renal Plasma Flow ◽  
Early Period ◽  
Least Square Method ◽  
Least Square ◽  
Uptake Coefficient ◽  
Positive Linear Correlation ◽  
On Line ◽  
Best Fit ◽  
Plasma Activity

A concept of a kidney uptake coefficient (UC) of 131I-o-hippurate was developed by analogy from the corresponding kidney clearance of blood plasma in the early period after injection of the hippurate. The UC for each kidney was defined as the count-rate over its ROI at a time shorter than the peak in the renoscintigraphic curve divided by the integral of the count-rate curve over the "blood"-ROI. A procedure for normalization of both curves against each other was also developed. The total kidney clearance of the hippurate was determined from the function of plasma activity concentration vs. time after a single injection; the determinations were made at 5, 10, 15, 20, 30, 45, 60, 75 and 90 min after intravenous administration of 131I-o-hippurate and the best-fit curve was obtained by means of the least-square method. When the UC was related to the absolute value of the clearance a positive linear correlation was found (r = 0.922, ρ > 0.99). Using this regression equation the clearance could be estimated in reverse from the uptake coefficient calculated solely on the basis of the renoscintigraphic curves without blood sampling. The errors of the estimate are compatible with the requirement of a fast appraisal of renal function for purposes of clinical diagknosis.

Research on Boundary Extraction of STL Models based on Genetic Algorithm

2012 ◽  
Vol 566 ◽  
pp. 78-81
Author(s):  
Jing Bin Hao ◽  
Zhong Bin Wang ◽  
Hai Feng Yang ◽  
Zhong Kai Li
Keyword(s):  
Genetic Algorithm ◽  
Extraction Method ◽  
Least Square Method ◽  
Least Square ◽  
Threshold Method ◽  
Boundary Extraction ◽  
Large Complex ◽  
Complex Models ◽  
Curvature Information ◽  
Best Fit

To efficiently decompose a large complex STL model, an improved boundary extraction method is proposed based on genetic algorithm. Three curvature parameters (dihedral angle, perimeter ration and convexity) were used to estimate the surface curvature information. Genetic Algorithm (GA) is used to determinate the threshold of feature edge. The discrete feature edges are grouped and filtered using the best-fit plane (BFP), which is calculated by Least Square Method (LSM). Several experimental results demonstrate that the amount of feature edges is about half of the preset threshold method, and useful feature edges were reserved. The extracted feature boundaries can be directly used to decompose large complex models.

scholarly journals Effect of Non-Genetic Factors on Different Genetic Group of Buck’s Semen Quality and Quantity at National Livestock Breeding Center, Nepal

2018 ◽  
Vol 35 ◽  
pp. 23-40
Author(s):  
R. Bastola ◽  
M.R. Kolachhapati ◽  
N.A. Gorkhali ◽  
R. Poudel ◽  
S. Sharma ◽  
...  
Keyword(s):  
Significant Interaction ◽  
Genetic Factors ◽  
Semen Quality ◽  
Least Square Method ◽  
Volume Density ◽  
Genetic Group ◽  
Least Square ◽  
Processing Technologies ◽  
Livestock Breeding ◽  
Genetic Groups

This study was conducted to assess the quality and quantity aspects of different genetic group of buck’s semen used for Artificial Insemination (AI) at National Livestock Breeding Centre (NLBC), Pokhara. For this, records from different breeds and genetic groups of buck semen collected over 3 years (2014-2016) were analyzed. Parameters such as volume, density, mass motility, initial motility concentration and post thaw motility were analysed for various non-genetic factors like year, season, green based feeding. Data were analyzed by least square method using Harvey 1990 software package. The result showed that different genetic group of bucks (P<0.001) have highly significant effect (P=0.00) on volume of semen. Significant interaction (P=0.01, 0.001) was observed between year and season on volume and density of the semen. Similarly, different genetic group of bucks had significant effect on density (P=0.03). Year showed a significant effect (P=0.02) on initial motility of the buck semen. Similarly, significant interaction between year and season on initial motility percentage (P=0.01) and post thaw motility percentage (P=0.00) was found. Likewise, year has a significant effect (P=0.01) on the Post thaw motility percentage (P=0.03) of the semen. Also, a significant effect of different breed of buck was found on post thaw motility percentage (P=0.00). In addition, the average post thaw motility percentage semen of all the genetic groups of bucks was above 52% which is considered as a good percentage for the success of AI. This result might be due to use of egg yolk free extender which is soya-based protein. Moreover, adoption of new buck semen processing technologies might further improve the semen quality and long term storability along with better management and distribution of these buck semen by Government of Nepal through livestock unit at different municipalities will improve the conception rate and save huge effort and investment for the importation of buck semen.

Development of Measurement System for Accuracy Control in Subsection Manufacture

2008 ◽  
Vol 381-382 ◽  
pp. 79-82
Author(s):  
F. Zhang ◽  
Xing Hua Qu ◽  
J.F. Dai ◽  
S. Ye
Keyword(s):  
Least Square Method ◽  
Least Square ◽  
Measuring System ◽  
Large Radius ◽  
Accuracy Control ◽  
Data Processing Software ◽  
Geometrical Information ◽  
Cloud Points ◽  
Processing Software ◽  
Best Fit

The computer aided measuring system is established to evaluate geometrical information of the structure in subsection manufacture. The cloud points data of surface are collected by laser tracker so as to explore continuing data processing software and evaluate the error of dimension and shape, and then the real measuring model, matched by the corner information, is compared with CAD through the best-fit algorithm. The lack of fitting information which will cause the low measuring precision is solved by the least square method constrained by radius in structure with large radius and small central angle. As the research object, the tunnel structure is used in the quality control of manufacturers.

Genetic and environmental effects on weaning weight in crossbred beef cattle (Bos taurus × Bos indicus)

2021 ◽  
pp. 1-8
Author(s):  
P. Dominguez-Castaño ◽  
A. M. Maiorano ◽  
M.H.V. de Oliveira ◽  
L.E.C. dos Santos Correia ◽  
J.A.II.V. Silva
Keyword(s):  
Beef Cattle ◽  
Bos Taurus ◽  
Bos Indicus ◽  
Least Square Method ◽  
Least Square ◽  
Residual Effects ◽  
Variance Component Analysis ◽  
Weaning Weight ◽  
Crossbred Cows ◽  
Age Class

Abstract This work aimed to evaluate the effects of sire's and dam's biological type, dam's age class at calving and individual heterozygosis, and to estimate variance components for weaning weight adjusted to 210 days (WW210) in beef cattle of different breed groups. Records of 13 687 animals, obtained from 2000 to 2007, were used. Bulls from the biological types Zebu (N), Adapted (A), British (B), Continental (C) and ¼N|¼A|¼B|¼C were mated with purebred zebu (N) and crossbred females (½C|½N and ½B|½N). Dam age at calving was 3–12 years. The influence of several effects on WW210 was tested using the least square method. Variance component analysis was performed using a Bayesian approach. The model included contemporary group, dam's age class at calving, sire's and dam's biological types as systematic effects, animal's age and individual heterozygosis as linear covariates, and direct and maternal additive genetic, maternal permanent environmental and residual effects as random effects. The progeny of bulls from biological type B and the crossbred cows showed higher WW210 means. Cows at 6–7 years old weaned heavier calves. Direct and maternal heritability estimates for WW210 were 0.5 ± 0.04 and 0.1 ± 0.02, respectively. Calves with 100% individual heterozygosis weighed on average 25.98 kg more at weaning compared to progenies from pure breeds. Sire's and dam's biological types influence the WW210 of the crossed progenies. Crossbred cows produce heavier calves compared to biological type N cows. These results and the obtained direct and maternal heritabilities suggest it is possible to choose the lines of sires and dams that could be used to make the crosses to obtain progenies with better performance for WW210.

PENGARUH KNOWLEDGE MANAGEMENT, KOMPETENSI, MOTIVASI TERHADAP KINERJA KARYAWAN

2015 ◽  
Vol 5 (2) ◽  
pp. 1
Author(s):  
Miftahol Arifin
Keyword(s):  
Knowledge Management ◽  
Linear Regression ◽  
Significant Influence ◽  
Employee Performance ◽  
Least Square Method ◽  
Least Square ◽  
Analysis Tool ◽  
Ordinary Least Square ◽  
Competence Motivation ◽  
Performance Analyze

The purpose of this research is to analyze the influence of knowledge management on employee performance, analyze the effect of competence on employee performance, analyze the influence of motivation on employee performance). In this study, samples taken are structural employees PT.centris Kingdom Taxi Yogyakarta. The analysis tool in this study using multiple linear regression with Ordinary Least Square method (OLS). The conclusion of this study showed that the variables of knowledge management has a significant influence on employee performance, competence variables have an influence on employee performance, motivation variables have an influence on employee performance, The analysis showed that the variables of knowledge management, competence, motivation on employee performance.Keywords: knowledge management, competence, motivation, employee performance.

Peristaltic Carreau-Yasuda nanofluid flow and mixed heat transfer analysis in an asymmetric vertical and tapered wavy wall channel

2020 ◽  
Vol 1 (1) ◽  
pp. 128-140 ◽  
Author(s):  
Mohammad Hatami ◽  
◽  
D Jing ◽  
Keyword(s):  
Heat Transfer ◽  
Least Square Method ◽  
Weissenberg Number ◽  
Least Square ◽  
Heat Transfer Analysis ◽  
Phase Method ◽  
Nanofluid Flow ◽  
Two Phase ◽  
Nanoparticles Concentration ◽  
The Right

In this study, two-phase asymmetric peristaltic Carreau-Yasuda nanofluid flow in a vertical and tapered wavy channel is demonstrated and the mixed heat transfer analysis is considered for it. For the modeling, two-phase method is considered to be able to study the nanoparticles concentration as a separate phase. Also it is assumed that peristaltic waves travel along X-axis at a constant speed, c. Furthermore, constant temperatures and constant nanoparticle concentrations are considered for both, left and right walls. This study aims at an analytical solution of the problem by means of least square method (LSM) using the Maple 15.0 mathematical software. Numerical outcomes will be compared. Finally, the effects of most important parameters (Weissenberg number, Prandtl number, Brownian motion parameter, thermophoresis parameter, local temperature and nanoparticle Grashof numbers) on the velocities, temperature and nanoparticles concentration functions are presented. As an important outcome, on the left side of the channel, increasing the Grashof numbers leads to a reduction in velocity profiles, while on the right side, it is the other way around.

Fast noise removal algorithm for HDR image based on least square method

2009 ◽  
Vol 29 (4) ◽  
pp. 994-996
Author(s):  
De-quan SUN ◽  
Jun ZHANG ◽  
Xiao-feng LI ◽  
Hui LI
Keyword(s):  
Least Square Method ◽  
Noise Removal ◽  
Least Square ◽  
Hdr Image
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