Meta-analysis of performance and genetic parameter estimates for growth and body weight traits of sheep in the tropics

2021 ◽  
pp. 106597
Author(s):  
Vrinda Ambike ◽  
Venkataramanan R. ◽  
S.M.K. Karthickeyan ◽  
K.G. Tirumurugaan
Keyword(s):  
Body Weight ◽  
Meta Analysis ◽  
Genetic Parameter ◽  
Parameter Estimates ◽  
The Tropics ◽  
Analysis Of Performance

Meta-analysis of genetic parameter estimates for reproduction, growth and carcass traits of pigs in the tropics

2013 ◽  
Vol 152 (2-3) ◽  
pp. 101-113 ◽  
Author(s):  
E.C. Akanno ◽  
F.S. Schenkel ◽  
V.M. Quinton ◽  
R.M. Friendship ◽  
J.A.B. Robinson
Keyword(s):  
Meta Analysis ◽  
Genetic Parameter ◽  
Carcass Traits ◽  
Parameter Estimates ◽  
The Tropics

scholarly journals Genetic parameter estimates for important traits on the fifth generation in red tilapia in Vietnam

2021 ◽  
Vol 20 (1) ◽  
pp. 49-57
Author(s):  
Sang V. Nguyen
Keyword(s):  
Body Weight ◽  
Survival Rate ◽  
Genetic Parameters ◽  
Genetic Parameter ◽  
Genetic Correlations ◽  
Parameter Estimates ◽  
Environment Interaction ◽  
Body Colour ◽  
Red Tilapia ◽  
Gxe Interaction

Genetic parameters comprising heritability, genetic correlation and genotype by environment interaction (GxE) for growth survival rate and body colour at harvest were estimated on the 5th selective generation of red tilapia grown in two environments, freshwater and brackishwater ponds. A total of 116 full-half-sib families was produced as well as 4,432 and 3,811 tagged individuals were tested in freshwater and brackishwater ponds, respectively. Genetic parameters were estimated by ASReml 4.1 software. The heritability for body weight and survival rate was high while medium heritability for body colour in freshwater was observed. The heritability for those traits of red tilapia in brackishwater. Together with the figures in earlier publication on previous generations (G1 to G4) in the same selective population, the expected medium to high response acquires if selection is done for each trait. Genetic correlations among harvest body weight, survival rate and body colour are insignificantly different and ranging from -0.25 to 0.37 (P > 0.05). These results implied that selection on one trait do not influence on responses of the other traits. GxE interaction for body weight and body colour between two tested environments is mostly negligible with genetic correlations ranging from 0.63 - 0.80 while it is important for survival trait (rg = -0.17 ± 0.40).

scholarly journals Comparative analyses of growth response and genetic parameter estimates of some quantitative traits in three broiler strains in South-West, Nigeria

2021 ◽  
Vol 41 (2) ◽  
pp. 12-18
Author(s):  
A. J. Sanda ◽  
O. Olowofeso ◽  
M. A. Adeleke ◽  
A. O. Oso ◽  
S. O. Durosaro ◽  
...  
Keyword(s):  
Body Weight ◽  
Growth Performance ◽  
Broiler Chicken ◽  
Quantitative Traits ◽  
Growth Response ◽  
Genetic Parameter ◽  
Parameter Estimates ◽  
Comparative Analyses ◽  
South West ◽  
Linear Body

A total of 150 pure strain broiler chicks comprising 50 each of Arbor Acre, Marshall and Ross were used for this experiment which lasted 10 weeks at the Poultry Breeding Unit of the Directorate of University Farms (DUFARMS) of the Federal University of Agriculture, Abeokuta (FUNAAB), Ogun State Nigeria. The experiment was carried out to make comparative analyses of growth response and genetic parameter estimates of some quantitative traits (Body weight and linear body measurement) in Arbor Acre, Marshall and Ross broiler chicken strains in South-West, Nigeria. Growth performance data was collected from week 3 to week 10 and analysed using the Generalized Linear Model. Marshall broiler chicken strain had the highest growth rate and better growth performance followed by Ross and Arbor Acre in terms of body weight and linear body dimensions. Marshall and Ross attained mean weight of 1964.50±43.10 g and 1913.02±41.05 g, respectively, which were superior (p < 0.05) to Arbor Acre 1831.63±36.28 g at 10 weeks of age. Marshall Broiler chicken strain also had the highest estimates of heritability for body weight 0.46±0.04, followed by Arbor Acre and Ross with estimates of heritability of 0.38±0.12 and 0.26±0.06, respectively. However considering the linear body measurements, none of the broiler chicken strains maintained high estimates of heritability from 3rd to 10th week.

Random-effect meta-analysis of genetic parameter estimates for carcass and meat quality traits in beef cattle

2021 ◽  
Vol 53 (4) ◽  
Author(s):  
Giovanni Coelho Ladeira ◽  
José Teodoro de Paiva ◽  
Hinayah Rojas de Oliveira ◽  
Eula Regina Carrara ◽  
Fabrício Pilonetto ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Meat Quality ◽  
Meta Analysis ◽  
Genetic Parameter ◽  
Random Effect ◽  
Parameter Estimates ◽  
Quality Traits ◽  
Meat Quality Traits

Effects of diacerein intake on cardiometabolic profiles in type 2 diabetics: a systematic review and meta-analysis of clinical trials.

2020 ◽  
Vol 27 ◽  
Author(s):  
Peyman Nowrouzi-Sohrabi ◽  
Reza Tabrizi ◽  
Mohammad Jalali ◽  
Navid Jamali ◽  
Shahla Rezaei ◽  
...  
Keyword(s):  
Systematic Review ◽  
Clinical Trials ◽  
Body Weight ◽  
Total Cholesterol ◽  
Ldl Cholesterol ◽  
Meta Analysis ◽  
Hdl Cholesterol ◽  
Cochrane Central Register ◽  
Statistical Heterogeneity

Introduction: A systematic review and meta-analysis of clinical trials was undertaken to evaluate the effect of diacerein intake on cardiometabolic profiles in patients with type 2 diabetes mellitus (T2DM). Methods: Electronic databases such as PubMed, EMBASE, Scopus, Web of Science, Google Scholar, and Cochrane Central Register of Controlled Trials were searched from inception to 31 July 2019. Statistical heterogeneity was evaluated using Cochran’s Q test and I-square (I2 ) statistic. Data were pooled using random-effect models and weighted mean difference (WMD). Results: From 1,733 citations, seven clinical trials were eligible for inclusion and meta-analysis. A significant reduction in hemoglobin A1c (HbA1c) (WMD -0.73; 95%CI -1.25 to -0.21; P= 0.006; I2 = 72.2%) and body mass index (BMI) (WMD -0.55; 95%CI -1.03 to -0.07; P= 0.026; I2 = 9.5%) were identified. However, no significant effect of diacerein intake was identified on fasting blood sugar (FBS) (WMD - 9.00; 95%CI -22.57 to 4.57; P= 0.194; I2 = 60.5%), homeostatic model assessment for insulin resistance (HOMA-IR) (WMD 0.39; 95%CI 0.95 to 1.73; P= 0.569; I2 = 2.2%), body weight (WMD -0.54; 95%CI -1.10 to 0.02; P= 0.059), triglycerides (WMD -0.56; 95%CI -24.16 to 23.03; P= 0.963; I2 = 0.0%), total-cholesterol (WMD -0.21; 95%CI -12.19 to 11.78; P= 0.973; I2 = 0.0%), HDL-cholesterol (WMD -0.96; 95%CI -2.85 to 0.93; P= 0.321; I2 = 0.0%), and LDL-cholesterol levels (WMD -0.09; 95%CI -8.43 to 8.25; P= 0.983; I2 = 37.8%). Conclusion: Diacerein intake may reduce HbA1c and BMI; however, no evidence of effect was observed for FBS, HOMA-IR, body weight, triglycerides, total-cholesterol, HDL-cholesterol or LDL-cholesterol.

scholarly journals Realized Sampling Variances of Estimates of Genetic Parameters and the Difference Between Genetic and Phenotypic Correlations

Genetics ◽  
1996 ◽  
Vol 143 (3) ◽  
pp. 1409-1416 ◽  
Author(s):  
Kenneth R Koots ◽  
John P Gibson
Keyword(s):  
Genetic Correlation ◽  
Genetic Parameters ◽  
Genetic Parameter ◽  
Genetic Correlations ◽  
Phenotypic Correlation ◽  
Parameter Estimates ◽  
Sampling Variance ◽  
Phenotypic Correlations ◽  
Genetic And Phenotypic Correlations ◽  
Heritability Estimates

Abstract A data set of 1572 heritability estimates and 1015 pairs of genetic and phenotypic correlation estimates, constructed from a survey of published beef cattle genetic parameter estimates, provided a rare opportunity to study realized sampling variances of genetic parameter estimates. The distribution of both heritability estimates and genetic correlation estimates, when plotted against estimated accuracy, was consistent with random error variance being some three times the sampling variance predicted from standard formulae. This result was consistent with the observation that the variance of estimates of heritabilities and genetic correlations between populations were about four times the predicted sampling variance, suggesting few real differences in genetic parameters between populations. Except where there was a strong biological or statistical expectation of a difference, there was little evidence for differences between genetic and phenotypic correlations for most trait combinations or for differences in genetic correlations between populations. These results suggest that, even for controlled populations, estimating genetic parameters specific to a given population is less useful than commonly believed. A serendipitous discovery was that, in the standard formula for theoretical standard error of a genetic correlation estimate, the heritabilities refer to the estimated values and not, as seems generally assumed, the true population values.

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