scholarly journals The impact of direct-maternal genetic correlations on international beef cattle evaluations for Limousin weaning weight

2021 ◽  
Author(s):  
Renzo Bonifazi ◽  
Jérémie Vandenplas ◽  
Jan ten Napel ◽  
Roel F Veerkamp ◽  
Mario P L Calus
Keyword(s):  
Beef Cattle ◽  
Alternative Model ◽  
Current Practice ◽  
Current Model ◽  
Genetic Correlations ◽  
Regression Method ◽  
Linear Regression Method ◽  
Pedigree Data ◽  
Weaning Weight ◽  
The Impact

Abstract In beef cattle maternally influenced traits, estimates of direct-maternal genetic correlations (rdm) are usually reported to be negative. In international evaluations, rdm can differ both within countries (rdm_WC) and between countries (rdm_BC). The rdm_BC are difficult to estimate and are assumed to be zero in the current model for international beef cattle evaluations (Interbeef). Our objective was to investigate re-ranking of international EBV (IEBV) in international beef cattle evaluations between models that either used estimated values for rdm or assumed them to be 0. Age-adjusted weaning weights and pedigree data were available for Limousin beef cattle from ten European countries. International EBV were obtained using a multi-trait animal model with countries modelled as different traits. We compared IEBV from a model that uses estimated rdm_BC (ranging between -0.14 and +0.14) and rdm_WC (between -0.33 and +0.40) with IEBV obtained either from the current model that assumes rdm_BC to be 0, or from an alternative model that assumes both rdm_BC and rdm_WC to be 0. Direct and maternal IEBV were compared across those three scenarios for different groups of animals. The ratio of population accuracies from the Linear Regression method was used to further investigate the impact of rdm on international evaluations, for both the whole set of animals in the evaluation and the domestic ones. Ignoring rdm_BC, i.e. replacing estimated values with 0, resulted in no (rank correlations > 0.99) or limited (between 0.98 and 0.99) re-ranking for direct and maternal IEBV, respectively. Both rdm_BC and rdm_WC had less impact on direct IEBV than on maternal IEBV. Re-ranking of maternal IEBV decreased with increasing reliability. Ignoring rdm_BC resulted in no re-ranking for sires with IEBV that might be exchanged across countries, and limited re-ranking for the top 100 sires. Using estimated rdm_BC values instead of considering them to be to 0, resulted in null to limited increases in population accuracy. Ignoring both rdm_BC and rdm_WC resulted in considerable re-ranking of animals’ IEBV in all groups of animals evaluated. This study showed the limited impact of the current practice of ignoring rdm_BC in international evaluations for Limousin weaning weight, most likely because the estimated rdm_BC were close to 0. We expect that these conclusions can be extended to other traits that have reported rdm values in the range of rdm_WC values for weaning weight in Limousin.

An alternative model of the vibronic coupling in octahedral complexes

1988 ◽  
Vol 53 (6) ◽  
pp. 1134-1140
Author(s):  
Martin Breza ◽  
Peter Pelikán
Keyword(s):  
Linear Regression ◽  
Alternative Model ◽  
Potential Surface ◽  
Analytical Formula ◽  
Coupling Model ◽  
Regression Method ◽  
Vibronic Coupling ◽  
Linear Regression Method ◽  
Active Systems ◽  
Jahn Teller

It is suggested that for some transition metal hexahalo complexes, the Eg-(a1g + eg) vibronic coupling model is better suited than the classical T2g-(a1g + eg) model. For the former, alternative model, the potential constants in the analytical formula are evaluated from the numerical map of the adiabatic potential surface by using the linear regression method. The numerical values for 29 hexahalo complexes of the 1st row transition metals are obtained by the CNDO/2 method. Some interesting trends of parameters of such Jahn-Teller-active systems are disclosed.

scholarly journals Household Financial Situation during the COVID-19 Pandemic with Particular Emphasis on Savings—An Evidence from Poland Compared to Other CEE States

Risks ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 166
Author(s):  
Grażyna Szustak ◽  
Witold Gradoń ◽  
Łukasz Szewczyk
Keyword(s):  
Well Being ◽  
Regression Method ◽  
Linear Regression Method ◽  
Household Savings ◽  
Main Aspect ◽  
Financial Decisions ◽  
Econometric Methods ◽  
Multiple Linear Regression Method ◽  
The Impact ◽  
Research Show

The aim of this article is to analyze and assess the impact of the pandemic on the finances of households in Poland, compared to other CEE countries (including Czech Republic, Slovakia and Hungary), with particular emphasis on changes in the level of their savings, which are considered to be the foundation for the development of the indicated research group. There is no doubt that the pandemic had an impact on the situation of households, which is mainly visible in the labor market (rising unemployment), and thus the question arises to what extent have the households’ approaches to financial decisions changed because of this situation? The propensity to save was taken into account as a main aspect of this problem, because it has, among others, a big impact on the financial well-being (in a broader sense). Using the multiple linear regression method, the factors that influence the level of household savings were determined. The results of the research show that these factors are different in the analyzed countries and have a different impact on the level of the explained variable, which is the gross saving rate. The research should also be treated as a preliminary one. It constitutes a contribution to in-depth research with the use of more sophisticated statistical and econometric methods, which will allow for the better assessment of the examined issue.

The characterization of the cow-calf, stocker and feedlot cattle industry water footprint to assess the impact of livestock water use sustainability

2020 ◽  
Vol 158 (5) ◽  
pp. 416-430
Author(s):  
H. M. Menendez ◽  
L. O. Tedeschi
Keyword(s):  
Beef Cattle ◽  
Water Use ◽  
Water Footprint ◽  
Current Model ◽  
The United States ◽  
Independent Study ◽  
Model Parameters ◽  
Cattle Industry ◽  
Freshwater Use ◽  
The Impact

AbstractPerception of freshwater use varies between nations and has led to concerns of how to evaluate water use for sustainable food production. The water footprint of beef cattle (WFB) is an important metric to determine current levels of freshwater use and to set sustainability goals. However, current WFB publications provide broad WF values with inconsistent units preventing direct comparison of WFB models. The water footprint assessment (WFA) methodologies use static physio-enviro-managerial equations, rather than dynamic, which limits their ability to estimate cattle water use. This study aimed to advance current WFA methods for WFB estimation by formulating the WFA into a system dynamics methodology to adequately characterize the major phases of the beef cattle industry and provide a tool to identify high-leverage solutions for complex water use systems. Texas is one of the largest cattle producing areas in the United States, a significant water user. This geolocation is an ideal template for WFB estimation in other regions due to its diverse geography, management-cultures, climate and natural resources. The Texas Beef Water Footprint model comprised seven submodels (cattle population, growth, nutrition, forage, WFB, supply chain and regional water use; 1432 state variables). Calibration of our model replicated initial WFB values from an independent study by Chapagain and Hoekstra in 2003 (CH2003). This CH2003 v. Texas production scenarios evaluated model parameters and assumptions and estimated a 41–66% WFB variability. The current model provides an insightful tool to improve complex, unsustainable and inefficient water use systems.

scholarly journals Impacts of Environmental Certificate and Pollution Abatement Equipment on SMEs’ Performance: An Empirical Case in Vietnam

2021 ◽  
Vol 13 (17) ◽  
pp. 9705
Author(s):  
Jung-Fa Tsai ◽  
Phi-Hung Nguyen ◽  
Ming-Hua Lin ◽  
Duy-Van Nguyen ◽  
Hsu-Hao Lin ◽  
...  
Keyword(s):  
Firm Performance ◽  
Pollution Abatement ◽  
Regression Method ◽  
Training Dataset ◽  
Linear Regression Method ◽  
Environmentally Conscious ◽  
Increase Productivity ◽  
Corporate Social ◽  
The Cost ◽  
The Impact

Increasing global warming and intensity of disasters recently have made improving environmentally-conscious enterprises pivotal, as well as consumer demand for green products and the achievement of green strategies in some enterprises. This study explores the impact of environmental certificates and the cost of pollution abatement equipment on firm performance for small and medium-sized enterprises (SMEs). In this research, the linear regression method examines the effect of environmental-related certificates and technology on SMEs’ performance using Stata version 14.0 software. The training dataset comprises 3504 manufacturing SMEs in Vietnam during 2011–2015. The results highlight the positively considerable impacts of environmental-related certificates and the cost of pollution abatement equipment on SMEs’ performance. More importantly, the findings also highlight the excessive availability of pollution abatement equipment and whether it adversely impacts enterprises’ performance. The equipment cost positively impacts firm performance while, at an extreme value, the result shows a negative correlation. Furthermore, this study enriches the current literature on corporate social responsibility (CSR) and suggests SMEs approach and embrace more environmental-related certificates and technology to increase productivity.

scholarly journals Selection of a suitable data set and model for the estimation of genetic parameters of the weaning weight in beef cattle

2007 ◽  
Vol 50 (6) ◽  
pp. 562-574
Author(s):  
L. Vostrý ◽  
J. Přibyl ◽  
Z. Veselá ◽  
V. Jakubec
Keyword(s):  
Beef Cattle ◽  
Fixed Effects ◽  
Genetic Parameters ◽  
Genetic Correlations ◽  
Genetic Effect ◽  
Suitable Model ◽  
Data Set ◽  
Weaning Weight ◽  
Estimation Of Genetic Parameters ◽  
Selection Of

Abstract. The objective of this paper was to select a suitable data subset and statistical model for the estimation of genetic parameters for weaning weight of beef cattle in the Czech Republic. Nine subsets were tested for the selection of a suitable subset. The subsets differed from each other in the limit of sampling criteria. The most suitable subset satisfied these conditions: at least 5 individuals per each sire, 5 individuals per HYS (herd, year, season), 2 sires per HYS, and individuals per dams that have at least one half-sister and two offspring (n = 4 806). The selection of a suitable model was carried out from 10 models. These models comprised some of the random effects: direct genetic effect, maternal genetic effect, permanent maternal environment effect, HYS, sire × herd or sire × year interaction, and some of the fixed effects: dam’s age, sex (young bull, heifer × single, twin born), HYS, year, herd. The direct heritability (h2a) ranged from 0.06 to 0.17, of maternal heritability (h2m) from 0.03 to 0.06. The genetic correlations between the direct and maternal effect (ram) were in the range of –0.15 –0.42.

scholarly journals THE DECISION OF CHOOSING A UNIVERSITY: THE IMPACT OF EDUCATION COSTS

2021 ◽  
Vol 9 (2) ◽  
pp. 123
Author(s):  
Dedy Ansari Harahap ◽  
Dita Amanah ◽  
Muji Gunarto ◽  
Purwanto Purwanto
Keyword(s):  
Regression Method ◽  
Linear Regression Method ◽  
Simple Linear Regression ◽  
Tuition Fees ◽  
Tertiary Institutions ◽  
Cost Of Education ◽  
Education Costs ◽  
The Cost ◽  
The Impact ◽  
Research Type

A Student Decision on Choosing a University: Impact of Education Costs. This study aims to analyze the effect of the cost of education on students' decisions to continue their studies in tertiary institutions. This study uses a quantitative approach with an explanatory research type. The research sample consisted of 380 respondents and statistically processed with the simple linear regression method using the SPSS version 26.0 application. The results showed that the cost of education had an effect on students' decision to choose a university. These findings indicate that higher education institutions must take into account the tuition fees charged to students. This is related to the level of students' ability to complete their studies at a college. Several studies have shown that in general the cost of education is important for universities to attract and retain students who are studying.

scholarly journals Multi-Trait Single-Step GBLUP Improves Accuracy of Genomic Prediction for Carcass Traits Using Yearling Weight and Ultrasound Traits in Hanwoo

2021 ◽  
Vol 12 ◽  
Author(s):  
Hossein Mehrban ◽  
Masoumeh Naserkheil ◽  
Deukhwan Lee ◽  
Noelia Ibáñez-Escriche
Keyword(s):  
Beef Cattle ◽  
Carcass Traits ◽  
Single Step ◽  
Birth Date ◽  
Linear Regression Method ◽  
Genomic Information ◽  
Muscle Area ◽  
Eye Muscle ◽  
Correlated Traits ◽  
The Impact

There has been a growing interest in the genetic improvement of carcass traits as an important and primary breeding goal in the beef cattle industry over the last few decades. The use of correlated traits and molecular information can aid in obtaining more accurate estimates of breeding values. This study aimed to assess the improvement in the accuracy of genetic predictions for carcass traits by using ultrasound measurements and yearling weight along with genomic information in Hanwoo beef cattle by comparing four evaluation models using the estimators of the recently developed linear regression method. We compared the performance of single-trait pedigree best linear unbiased prediction [ST-BLUP and single-step genomic (ST-ssGBLUP)], as well as multi-trait (MT-BLUP and MT-ssGBLUP) models for the studied traits at birth and yearling date of steers. The data comprised of 15,796 phenotypic records for yearling weight and ultrasound traits as well as 5,622 records for carcass traits (backfat thickness, carcass weight, eye muscle area, and marbling score), resulting in 43,949 single-nucleotide polymorphisms from 4,284 steers and 2,332 bulls. Our results indicated that averaged across all traits, the accuracy of ssGBLUP models (0.52) was higher than that of pedigree-based BLUP (0.34), regardless of the use of single- or multi-trait models. On average, the accuracy of prediction can be further improved by implementing yearling weight and ultrasound data in the MT-ssGBLUP model (0.56) for the corresponding carcass traits compared to the ST-ssGBLUP model (0.49). Moreover, this study has shown the impact of genomic information and correlated traits on predictions at the yearling date (0.61) using MT-ssGBLUP models, which was advantageous compared to predictions at birth date (0.51) in terms of accuracy. Thus, using genomic information and high genetically correlated traits in the multi-trait model is a promising approach for practical genomic selection in Hanwoo cattle, especially for traits that are difficult to measure.

scholarly journals Quantifying the Impact of Linear Regression Model in Deriving Bio-Optical Relationships: The Implications on Ocean Carbon Estimations

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 3032 ◽  
Author(s):  
Bellacicco ◽  
Vellucci ◽  
Scardi ◽  
Barbieux ◽  
Marullo ◽  
...  
Keyword(s):  
Linear Regression ◽  
Regression Method ◽  
Linear Regression Method ◽  
Type I ◽  
Ocean Colour ◽  
Data Set ◽  
Argo Floats ◽  
In Situ Data ◽  
Carbon Biomass ◽  
The Impact

Linear regression is widely used in applied sciences and, in particular, in satellite optical oceanography, to relate dependent to independent variables. It is often adopted to establish empirical algorithms based on a finite set of measurements, which are later applied to observations on a larger scale from platforms such as autonomous profiling floats equipped with optical instruments (e.g., Biogeochemical Argo floats; BGC-Argo floats) and satellite ocean colour sensors (e.g., SeaWiFS, VIIRS, OLCI). However, different methods can be applied to a given pair of variables to determine the coefficients of the linear equation fitting the data, which are therefore not unique. In this work, we quantify the impact of the choice of “regression method” (i.e., either type-I or type-II) to derive bio-optical relationships, both from theoretical perspectives and by using specific examples. We have applied usual regression methods to an in situ data set of particulate organic carbon (POC), total chlorophyll-a (TChla), optical particulate backscattering coefficient (bbp), and 19 years of monthly TChla and bbp ocean colour data. Results of the regression analysis have been used to calculate phytoplankton carbon biomass (Cphyto) and POC from: i) BGC-Argo float observations; ii) oceanographic cruises, and iii) satellite data. These applications enable highlighting the differences in Cphyto and POC estimates relative to the choice of the method. An analysis of the statistical properties of the dataset and a detailed description of the hypothesis of the work drive the selection of the linear regression method

scholarly journals Religiosity and Halal Certification: Its Effect on Interest in Buying Traditional Food

2022 ◽  
Vol 6 (2) ◽  
pp. 79
Author(s):  
Najmudin Najmudin ◽  
Syihabudin Syihabudin
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Research Method ◽  
Quantitative Methods ◽  
Regression Method ◽  
Linear Regression Method ◽  
Traditional Food ◽  
Questionnaire Data ◽  
Multiple Linear Regression Method ◽  
The Impact

This study aims to determine (1)—the influence of religiosity on the interest in buying traditional food of sate bandeng. (2). The effect of halal certification on the interest in buying traditional food of sate bandeng. And (3). The impact of religiosity and halal certification on interest in buying traditional food of sate bandeng. This research is the millennial consumers of traditional food of Sate Bandeng Kang Cepi Kaujon, Serang City, Banten Province. The research method used is quantitative. Methods of data collection using a questionnaire. Data were processed using SPSS version 23 software. Data analysis used the multiple linear regression method. The results of this study indicate that (1). Religiosity affects an interest in buying traditional food of Sate Bandeng. (2). Halal certification affects an interest in buying traditional food of sate bandeng (3). Religiosity and halal certification have a positive and significant impact on interest in buying traditional food of Sate Bandeng. Consumers’ interest in buying traditional food of Sate Bandeng is influenced by religiosity and halal certification as much as 48.8 percent. In comparison, the remaining 51.2 percent is influenced by other variables not examined in this study.

scholarly journals Impact of Delay on Cost Overrun in Construction Projects in Algeria

2019 ◽  
Vol 5 (2) ◽  
pp. 25
Author(s):  
Salhi Roumeissa
Keyword(s):  
Linear Regression ◽  
Construction Projects ◽  
Project Success ◽  
Regression Method ◽  
Linear Regression Method ◽  
Cost Overrun ◽  
Simple Linear Regression ◽  
Schedule Delay ◽  
Proposed Model ◽  
The Impact

Project success is the ultimate goal of the various project stackeholders (Salhi.R 2018). Asuccessful project means that the project is completed on time, within the agreed budget and according to the contract specifications. Delay is one of the most reccuring problems in construction project in Algeria, and it is considered as the main cause of cost overrun, time overrun, disput and claims.The objective of this paper is to mesure the impact of schedule delay on cost overrun, using the simple linear regression method and the coefficient of correlation. The proposed model can be used by practitioners as predictive mesure to address possible cost overrun.

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