scholarly journals 62 Improved estimation of indirect social genetic effects in group-housed pigs by quantifying behavioral interactions

2019 ◽  
Vol 97 (Supplement_2) ◽  
pp. 34-34
Author(s):  
Belcy Karine Angarita Barajas ◽  
Rodolfo Cantet ◽  
Kaitlin E Wurtz ◽  
Carly O’Malley ◽  
Janice Siegford ◽  
...  
Keyword(s):  
Fixed Effects ◽  
Anterior Part ◽  
Random Effect ◽  
Genetic Effect ◽  
Skin Lesions ◽  
Genetic Effects ◽  
Growing Pigs ◽  
The Body ◽  
Aggressive Interactions ◽  
Effect Model

Abstract Traditional social genetic effects modeling assumes uniform intensity of interaction between group members. Tree breeders proposed relaxing this assumption by incorporating estimates of intensity of competition between pairs of individuals. Here, we incorporated the quantification of aggressive interactions between pairs of animals in the estimation of indirect social genetic effects on skin lesions in the anterior part of the body in growing pigs. The data consisted of 491 pigs (215 barrows and 276 gilts, mean of 66 ±5 days of age). Animals were housed in 37 pens (11 to 15 pigs by pen) over 7 replicates. Trained scorers counted the number of skin lesions immediately before and 24 hours after mixing pigs. Animals were video-recorded for 9 hours post mixing and trained observers quantified the type and duration of aggressive interactions between pairs of pigs. The number of skin lesions in the frontal part of the body 24 hours post-mixing was the response variable and the number of seconds that pairs of animals spent engaged in reciprocal fights was used to quantify the intensity of interaction. We compared three different models: A direct genetic additive model (DGE), a traditional social genetic effect model (TSGE) assuming uniform interactions, and an improved social genetic effect model (ISGE) that used intensity of interaction to parameterize social genetic effects. All models included fixed effects of sex, replicate, lesion scorer, initial weight and pre-mixing lesion count; a random effect of pen; and a random direct genetic effect. The model ISGE recovered the most variance (smallest σe2) and resulted in the highest estimated h2 (P < 0.005). The model TSGE produced estimates that did not differ significantly from DGE (P = 1). Contrarily, incorporating the intensity of interaction into the modeling of ISGE allowed direct and indirect genetic effects to be estimated separately, even in a small dataset.

scholarly journals Estimation of indirect social genetic effects for skin lesion count in group-housed pigs by quantifying behavioral interactions1

2019 ◽  
Vol 97 (9) ◽  
pp. 3658-3668 ◽  
Author(s):  
Belcy K Angarita ◽  
Rodolfo J C Cantet ◽  
Kaitlin E Wurtz ◽  
Carly I O’Malley ◽  
Janice M Siegford ◽  
...  
Keyword(s):  
Fixed Effects ◽  
Genetic Effect ◽  
Skin Lesions ◽  
Genetic Effects ◽  
Growing Pigs ◽  
The Body ◽  
Attack Behavior ◽  
Lesion Count ◽  
Aggressive Interactions ◽  
Effect Model

Abstract Mixing of pigs into new social groups commonly induces aggressive interactions that result in skin lesions on the body of the animals. The relationship between skin lesions and aggressive behavioral interactions in group-housed pigs can be analyzed within the framework of social genetic effects (SGE). This study incorporates the quantification of aggressive interactions between pairs of animals in the modeling of SGE for skin lesions in different regions of the body in growing pigs. The dataset included 792 pigs housed in 59 pens. Skin lesions in the anterior, central, and caudal regions of the body were counted 24 h after pig mixing. Animals were video-recorded for 9 h postmixing and trained observers recorded the type and duration of aggressive interactions between pairs of animals. The number of seconds that pairs of pigs spent engaged in reciprocal fights and unilateral attack behaviors were used to parametrize the intensity of social interactions (ISI). Three types of models were fitted: direct genetic additive model (DGE), traditional social genetic effect model (TSGE) assuming uniform interactions between dyads, and an intensity-based social genetic effect model (ISGE) that used ISI to parameterize SGE. All models included fixed effects of sex, replicate, lesion scorer, weight at mixing, premixing lesion count, and the total time that the animal spent engaged in aggressive interactions (reciprocal fights and unilateral attack behaviors) as a covariate; a random effect of pen; and a random direct genetic effect. The ISGE models recovered more direct genetic variance than DGE and TSGE, and the estimated heritabilities (h^D2) were highest for all traits (P &lt; 0.01) for the ISGE with ISI parametrized with unilateral attack behavior. The TSGE produced estimates that did not differ significantly from DGE (P &gt; 0.5). Incorporating the ISI into ISGE, even in a small dataset, allowed separate estimation of the genetic parameters for direct and SGE, as well as the genetic correlation between direct and SGE (r^ds), which was positive for all lesion traits. The estimates from ISGE suggest that if behavioral observations are available, selection incorporating SGE may reduce the consequences of aggressive behaviors after mixing pigs.

PSI-17 Genetic analysis of weaning weight in Hungarian Simmental cattle

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 274-275
Author(s):  
Afees Ajasa ◽  
Barnabás Vágó ◽  
Imre Füller ◽  
István Komlósi ◽  
János Posta
Keyword(s):  
Variance Components ◽  
Random Effect ◽  
Random Effect Model ◽  
Genetic Effect ◽  
Genetic Effects ◽  
Covariance Model ◽  
Genetic Covariance ◽  
Weaning Weight ◽  
Effect Model ◽  
Maternal Heritability

Abstract The aim of the study was to partition the total phenotypic variation in the weaning weight of Hungarian Simmental calves into their various causal components. The data used was provided by the Association of Hungarian Simmental Breeders. The dataset comprised of the weaning weight records of 44,278 calves (sire = 879, dam = 14,811) born from 1975 to 2020. A total of six models were fitted to the weaning weight data. Herd, birth year, calving order and sex were included as fixed effects in the models. Model 1 had direct genetic effect as the only random effect. Model 2 had a permanent maternal environment as an additional random effect. Model 3 had both direct and maternal genetic effects, with their covariance is being zero. Model 4 was similar to Model 3 but with non-zero direct-maternal genetic covariance. Model 5 had direct, maternal genetic and permanent environmental effects and a zero direct-maternal genetic covariance. Model 6 was similar to model 5 but the direct-maternal genetic effect was assumed to be correlated. Variance components and genetic parameters were estimated using restricted maximum likelihood method with the Wombat software. The best fit model was determined using the Log likelihood ratio test. Inclusion of direct maternal genetic covariance increased the variance components estimates dramatically which resulted in a corresponding increase in the direct and maternal heritability estimates. The best fitted model (Model 4) had direct and maternal genetic effects as the only random effects with a non-zero direct-maternal genetic covariance. The direct heritability, maternal heritability and direct-maternal genetic correlation estimate of the best model was 0.57, 0.16 and -0.78, respectively. Our result suggests the problem of (co)sampling variation in the partitioning of additive genetic effect into direct and maternal components.

scholarly journals Mineral metabolism of pregnant goats under feed restriction

2017 ◽  
Vol 57 (2) ◽  
pp. 290 ◽  
Author(s):  
Carla J. Härter ◽  
Lisiane D. Lima ◽  
Douglas S. Castagnino ◽  
Astrid R. Rivera ◽  
Alana M. Nunes ◽  
...  
Keyword(s):  
Fixed Effects ◽  
Mineral Metabolism ◽  
Block Design ◽  
Random Effect ◽  
Serum Levels ◽  
The Body ◽  
Feed Restriction ◽  
Mineral Density ◽  
Maternal Body ◽  
Sodium And Potassium

We examined the effects of feed restriction on calcium, phosphorus, magnesium, sodium and potassium metabolism in Oberhasli and Saanen goats during gestation. The 63 goats were distributed into groups that were divided into three levels of feed restriction (0%, 20% and 40% restriction) and slaughtered at different pregnancy stages (80, 110 and 140 days of gestation), in a randomised block design with a 2 × 3 × 3 factorial arrangement. The mineral balance was determined at ~80, 110 and 140 days of gestation. The serum levels of minerals and alkaline phosphatase activity were determined during pregnancy. Mineral retention in the maternal body, femur, empty uterus, mammary gland, fetus and fetal fluid was also determined during gestation. Bone mineral density was measured in the femur. Mixed models with days of gestation, levels of feed restriction, breed and their interactions as fixed effects and blocks as random effect were used for data analysis. In response to the reduction in feed intake, the maternal body uses its mineral reserves to maintain gestation. Physiological adjustments of the goats subjected to 20% feed restriction avoided a decrease in fetal mineral deposition. More severe feed restriction, however, compromised concentrations of phosphorus, sodium and potassium in the fetus, which were the main minerals used by the maternal body, whereas calcium and magnesium deposition in fetuses remained unaffected. At 40% feed restriction, the retention of all minerals in the body decreased, and the fetal dry mass was on average also less than those fetuses from goats without feed restriction. The fetal deposition of phosphorus, sodium and potassium was also lower during 40% restriction.

Genetic parameters for calving difficulty using complex genetic models in five beef breeds in Australia

2016 ◽  
Vol 56 (5) ◽  
pp. 927 ◽  
Author(s):  
M. G. Jeyaruban ◽  
D. J. Johnston ◽  
B. Tier ◽  
H.-U. Graser
Keyword(s):  
Genetic Parameters ◽  
Linear Models ◽  
Random Effect ◽  
Genetic Correlations ◽  
Genetic Effect ◽  
Genetic Effects ◽  
Gestation Length ◽  
Calving Ease ◽  
Direct Genetic Effect ◽  
Calving Difficulty

Data on Angus (ANG), Charolais (CHA), Hereford (HER), Limousin (LIM) and Simmental (SIM) cattle were used to estimate genetic parameters for calving difficulty (CD), birthweight (BWT) and gestation length (GL) using threshold-linear models and to examine the effect of inclusion of random effect of sire × herd interaction (SxH) in the models. For models without SxH, estimated heritabilities for direct genetic effect of CD were 0.24 (±0.02), 0.22 (±0.04), 0.31 (±0.02), 0.22 (±0.04) and 0.17 (±0.01) for ANG, CHA, HER, LIM and SIM, respectively, whereas maternal heritabilities ranged from 0.13 to 0.20. Estimated heritabilities for direct genetic effect of BWT were 0.38 (±0.01), 0.37 (±0.03), 0.46 (±0.01), 0.35 (±0.02) and 0.36 (±0.01) for ANG, CHR, HER, LIM and SIM, respectively, whereas maternal heritabilities ranged from 0.08 to 0.11. Estimated heritabilities for direct genetic effect of GL were 0.59 (±0.02), 0.42 (±0.04), 0.50 (±0.03), 0.45 (±0.04) and 0.42 (±0.03) for ANG, CHR, HER, LIM and SIM, respectively, whereas maternal heritabilities ranged from 0.03 to 0.09. Genetic correlations between direct genetic effects of CD with BWT were highly positive and with GL were moderately positive for all five breeds. Estimated genetic correlations between direct genetic effects and maternal genetic effects (rdm) ranged across the five breeds from –0.40 (±0.05) to –0.16 (±0.02), –0.41 (±0.03) to –0.27 (±0.08) and –0.47 (±0.10) to –0.06 (±0.12) for BWT, GL and CD, respectively. Fitting SxH interaction as additional random effect significantly increased the log-likelihood for analyses of BWT, GL and CD of all breeds, except for GL of CHA. The estimated heritabilities were less than or equal to the estimates obtained with models omitting SxH. The rdm increased (i.e. became less negative) for BWT, GL and CD of all five breeds. However, the increase for GL was not substantially high in comparison to the increase observed for BWT and CD. Genetic parameters obtained for BWT, GL and CD, by fitting SxH as an additional random effect, are more appropriate to use in the genetic evaluation of calving ease in BREEDPLAN.

Estimates of genetic parameters for growth traits of Gobra cattle

1998 ◽  
Vol 66 (2) ◽  
pp. 349-355 ◽  
Author(s):  
M. Diop ◽  
L. D. Van Vleck
Keyword(s):  
Animal Models ◽  
Maternal Effects ◽  
Genetic Parameters ◽  
Growth Traits ◽  
Random Effect ◽  
Random Effect Model ◽  
Genetic Effects ◽  
Breeding Value ◽  
Effect Model ◽  
Additive Genetic Effects

AbstractEstimates of (co)variance components and genetic parameters were obtained for birth (no. = 3909), weaning (no. = 3425), yearling (no. = 2763), and final weight (no. = 2142) for Gobra cattle at the Centre de Recherches Zootechniques de Dahra (Senegal), using single trait animal models. Data were analysed by restricted maximum likelihood. Four different animal models were fitted for each trait. Model 1 considered the animal as the only random effect. Model 2 included in addition to the additive direct effect of the animal, the environmental effect due to the dam. Model 3 added the maternal additive genetic effects and allowed a covariance between the direct and maternal genetic effects. Model 4 fitted both maternal genetic and permanent environmental effects. Inclusion of both types of maternal effects (genetic and environmental) provided a better fit for birth and weaning weights than models with one maternal effect only. For yearling and final weights, the improvement was not significant. Important maternal effects werefound for all traits. Estimates of direct heritabilities were substantially higher when maternal effects were ignored. Estimates of direct and maternal heritabilities with model 4 were 0·07 (s.e. 0·03) and 0·04 (s.e. 0·02), 0·20 (s.e. 0·05) and 0·21 (s.e. 0.05), 0·24 (s.e. 0·07) and 0·21 (s.e. 0·06), and 0·14 (s.e. 0·06) and 0.16 (s.e. 0·06) for birth, weaning, yearling and final weights, respectively. Correlations between direct and maternal genetic effects were negative for all traits, and large for weaning and yearling weights with estimates of -0·61 (s.e. 0·33) and -0·50 (s.e. 0·31), respectively. There was a significant positive linear phenotypic trend for weaning and yearling weights. Linear trends for additive direct and maternal breeding values were not significant for any trait except maternal breeding value for yearling weight.

Genetic association between cows’ stayability to three years of age and juvenile growth traits in Canadian Angus herds

2005 ◽  
Vol 85 (2) ◽  
pp. 139-143 ◽  
Author(s):  
D. P. Rasali ◽  
G. H. Crow ◽  
J. N. B. Shrestha ◽  
A. D. Kennedy ◽  
A. Brûlé-Babel
Keyword(s):  
Fixed Effects ◽  
Growth Traits ◽  
Genetic Correlations ◽  
Genetic Effect ◽  
Genetic Effects ◽  
Birth Season ◽  
Angus Cattle ◽  
Body Weights ◽  
Direct Genetic Effect ◽  
Maternal Heritability

Bivariate linear animal models were fit using MTDFREML programs for the analysis of cows’ stayability to 3 yr (STAY3, n = 1, 703) as a binary scored trait paired with body weights at birth (BW, n = 6,116), 205-d weaning (WW, n = 5,360,) and 1 yr of age (YW, n = 5250) in Angus cattle. For STAY3, the model included a fixed effect due to herd ×year of cow’s birth along with a random direct genetic effect. For each of BW, WW and YW, the model included fixed effects due to herd ×birth year, birth season, birth type, calf’s sex and the age of dam (as linear and quadratic covariates), while the random effects were direct and maternal genetic effects and permanent maternal environmental effects. Survival analysis revealed that the risk of cows, 10 yr or less in age, being culled from five Canadian Angus herds was highest between 2 and 3 yr of age. The direct heritability (h2) estimates for BW, WW and YW were 0.54, 0.73 and 0.47, respectively, and corresponding maternal heritability estimates were 0.14, 0.33 and 0.13, respectively. Furthermore, the direct h2 estimate for STAY3 from three bivariate analyses was 0.23–0.24. Estimates of direct-maternal genetic correlations of BW, WW and YW were -0.18, -0.70 and -0.39, respectively. The direct genetic correlations of STAY3 with BW, WW and YW were -0.15 to -0.09 indicating that selection for growth would have less detrimental influence on the stayability trait of cows. The correlations of direct genetic effects of STAY3 with maternal genetic effects of BW, WW and YW were between 0.20 and 0.25, indicating their favorable relationships as correlated traits. Key words: Stayability, growth traits, heritability, genetic correlations, beef cattle

scholarly journals Impact of Environmental Airborne Manganese Exposure on Cognitive and Motor Functions in Adults: A Systematic Review and Meta-Analysis

2021 ◽  
Vol 18 (8) ◽  
pp. 4075
Author(s):  
Laura Ruiz-Azcona ◽  
Ignacio Fernández-Olmo ◽  
Andrea Expósito ◽  
Bohdana Markiv ◽  
María Paz-Zulueta ◽  
...  
Keyword(s):  
Systematic Review ◽  
Motor Function ◽  
Random Effects ◽  
Fixed Effects ◽  
Meta Analysis ◽  
Statistical Significance ◽  
Random Effect ◽  
Random Effect Model ◽  
Motor Functions ◽  
Effect Model

Background/Objective: Whether environmental exposure to Manganese (Mn) in adults is associated with poorer results in cognitive and motor function is unclear. We aimed to determine these associations through a meta-analysis of published studies. Methods: A systematic review was conducted to identify epidemiological studies on a population ≥18 years old exposed to environmental airborne Mn, and in which results on specific tests to evaluate cognitive or motor functions were reported. We consulted Medline through PubMed, Web of Science and SCOPUS databases. We also performed a manual search within the list of bibliographic references of the retrieved studies and systematic reviews. To weight Mn effects, a random effects versus fixed effect model was chosen after studying the heterogeneity of each outcome. Results. Eighteen studies met the inclusion criteria. Among them, eleven studies reported data susceptible for meta-analysis through a pooled correlation or a standardized means difference (SMD) approach between exposed and non-exposed groups. Regarding cognitive function, the results of the studies showed heterogeneity among them (I2 = 76.49%, p < 0.001). The overall effect was a statistically significant negative correlation in the random effects model (pooled r = −0.165; 95%CI: −0.214 to −0.116; p < 0.001). For SMD, the results showed a lower heterogeneity with a negative SMD that did not reach statistical significance under the fixed effects model (SMD = −0.052; 95%CI −0.108 to 0.004; p = 0.068). Regarding motor function, heterogeneity (I2 = 75%) was also observed in the correlation approach with a pooled r (random effect model) = −0.150; 95%CI: −0.219 to −0.079; p < 0.001. Moderate heterogeneity was observed according to the SMD approach (I2 = 52.28%), with a pooled SMD = −0.136; 95%CI: −0.188 to−0.084; p < 0.001, indicating worse motor function in those exposed. Conclusions: Correlation approach results support a negative effect on cognitive and motor functions (the higher the Mn levels, the poorer the scores). Regarding the SMD approach, results also support a worse cognitive and motor functions in those exposed, although only for motor function statistical significance was obtained.

scholarly journals Pengaruh PDRB, Upah Minimum Provinsi, dan Angkatan Kerja Terhadap Investasi Asing Langsung di Indonesia Tahun 2013-2016

2019 ◽  
Vol 4 (2) ◽  
pp. 101-109
Author(s):  
Siti Utma ◽  
◽  
Arif Rakhman
Keyword(s):  
Time Series ◽  
Cross Section ◽  
Fixed Effects ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Fixed Effects Model ◽  
Common Effect ◽  
Effect Model

Penelitian ini bertujuan menganalisis pengaruh produk domestik regional bruto (PDRB), upah minimum provinsi (UMP), dan angkatan kerja terhadap investasi asing langsung di Indonesia tahun 2013 – 2016. Data yang digunakan dalam penelitian ini adalah data panel yang merupakan gabungan data provinsi sebagai cross section dan tahun 2013 – 2016 sebagai time series. Investasi asing langsung merupakan variabel dependen, sedangkan variabel Independen yang digunakan adalah produk domestik regional bruto (PDRB), upah minimum provinsi (UMP), dan angkatan kerja. Metode penelitian menggunakan analisis regresi dengan tiga model yaitu common effect model, fixed effect model, dan random effect model. Dari tiga model tersebut, fixed Effects Model (FEM) terpilih sebagai model regresi data panel yang paling tepat. Hasil regresi produk domestik regional bruto (PDRB) berpengaruh positif signifikan terhadap investasi asing langsung. Hal ini berarti setiap kenaikan produk domestik regional bruto (PDRB) akan menaikkan investasi asing langsung di Indonesia. Adapun variabel upah minimum provinsi (UMP) dan Angkatan Kerja, tidak berpengaruh signifikan terhadap investasi asing langsung di Indonesia tahun 2013 – 2016.

scholarly journals The Effect of Deworming School Children on Anemia Prevalence: A Systematic Review and Meta-Analysis

2018 ◽  
Vol 12 (1) ◽  
pp. 155-161 ◽  
Author(s):  
Tadele Girum ◽  
Abebaw Wasie
Keyword(s):  
Systematic Review ◽  
School Children ◽  
Fixed Effects ◽  
Random Effect ◽  
Random Effect Model ◽  
Hemoglobin Level ◽  
Cochrane Library ◽  
Bibliographic Databases ◽  
Effect Model ◽  
Prevalence Of Anemia

Introduction: High prevalence of anemia attributable to intestinal parasite infection occurs among children in developing countries. As a result mass treatment of all children with anti-helminthic drugs particularly in school setting is being implemented. There are few studies conducted to assess impact of deworming on anemia prevalence among school children with inconclusive finding. Therefore we aimed to conduct a systematic review on impact assessment of deworming on anemia prevalence or hemoglobin level of school children so that policy makers and other stalk holders could have pooled evidence on the direction to make decision. Methods: The review was conducted through a systematic literature search of articles published between 1998 and 2015. Five bibliographic databases and libraries: PubMed/Medline, Global Health Database, Embase, the Cochrane Library, and African Index Medicus were used. After cleaning and sorting, analysis was performed using STATA version 11. The pooled estimate was through a fixed-effects model. Heterogeneity was assessed by the I2 and publication bias through funnel plot. Results: Eight studies were retained for final analysis which enrolled a total of 1,005,239 school children. The overall change in the hemoglobin level after deworming was 1.62(95%CI=1.01-2.25) gram/deciliter. There was no difference between the random effect model and the fixed effect model. The prevalence of anemia was markedly changed after the program, particularly in the studies which implemented deworming with hygiene program, co-administration of iron and retinol. Conclusion and Recommendation: School based deworming program decreases prevalence of anemia and will contribute to reduction of anemia in the community. Therefore the program should be expanded in all areas and integrated with other child care programs.

scholarly journals PSIX-4 Concentrations of digestible and metabolizable energy and digestibility of phosphorus in a new source of high-protein distillers dried grains with solubles fed to growing pigs

2020 ◽  
Vol 98 (Supplement_3) ◽  
pp. 187-188
Author(s):  
minoy A Cristobal Romero ◽  
Su A Lee ◽  
Hans H Stein
Keyword(s):  
Statistical Model ◽  
Fixed Effects ◽  
Random Effect ◽  
Growing Pigs ◽  
Metabolizable Energy ◽  
High Protein ◽  
Experimental Unit ◽  
Distillers Dried Grains ◽  
Microbial Phytase

Abstract Concentrations of digestible and metabolizable energy and digestibility of phosphorus in a new source of high-protein distillers dried grains with solubles fed to growing pigs Minoy Cristobal, Su A Lee, and Hans H. Stein The objective of this research was to test the hypothesis that concentrations of DE and ME and standardized total tract digestibility (STTD) of P in high-protein distillers dried grains with solubles (HP-DDGS) are greater than in conventional distillers dried grains with solubles (DDGS-CV). In Exp. 1, twenty-four growing barrows (initial BW: 32.7 ± 3.1 kg) were fed a corn diet or 2 diets containing corn and HP-DDGS or corn and DDGS-CV. The statistical model included ingredient as a fixed effects and replicate as the random effect and the pig was the experimental unit. Results from Exp. 1 indicated that the concentrations of DE and ME of HP-DDGS were greater (P &lt; 0.05) compared with DDGS-CV (Table 1). In Exp. 2, thirty-two growing barrows (initial BW: 20.2 ± 0.9 kg) were allotted to 4 diets with 8 pigs per diet. The DDGS-CV or HP-DDGS were included in a diet without microbial phytase and in a diet with microbial phytase (500 units/kg diet). The statistical model included ingredient, phytase, and the interaction as fixed effects and replicate as the random effect. Results from Exp. 2 indicated that inclusion of phytase in the diet containing HP-DDGS increased (P &lt; 0.05) the STTD of P, but addition of phytase to the DDGS-CV diet did not increase STTD of P (interaction, P &lt; 0.001; Table 2). The value for the STTD of P was greater (P &lt; 0.05) in DDGS-CV compared with HP-DDGS. In conclusion, HP-DDGS has greater concentrations of DE and ME, but less STTD of P compared with DDGS-CV.

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