Genetic parameters for calf mortality and correlated cow and calf traits in tropically adapted beef breeds managed in extensive Australian production systems

2014 ◽  
Vol 54 (1) ◽  
pp. 50 ◽  
Author(s):  
Kim L. Bunter ◽  
David J. Johnston
Keyword(s):  
Genetic Correlation ◽  
Maternal Effects ◽  
Production Systems ◽  
Genetic Correlations ◽  
Genetic Effects ◽  
Repeated Measure ◽  
Correlated Response ◽  
Genetic Associations ◽  
Calf Survival ◽  
Calf Mortality

The genetic associations between cow teat and udder traits with maternal contributions to calf mortality were studied in Brahman (BRAH) and Tropical Composite (TCOMP) cattle managed in extensive production systems of northern Australia. Data from 9286 purebred and crossbred calves, progeny of 2076 cows and 149 sires, were recorded from 2003 to 2011. Calf weights at birth (BWT) and weaning (WWT) were routinely recorded. The event of calf death before weaning (DWEAN) was analysed as a repeated-measure of the cow. Cows were also scored at each calving for front- and back-teat size and udder size (US) on an ascending five-point scale. Heritabilities for front-teat size, back-teat size and US were 0.38 ± 0.05, 0.31 ± 0.05 and 0.49 ± 0.01, and estimates were the same for BRAH and TCOMP. The heritability of DWEAN was higher in BRAH (0.09 ± 0.02) than in TCOMP (0.02 ± 0.01). Variance ratios for maternal genetic effects contributing to variation in BWT and WWT were 0.13 ± 0.02 and 0.18 ± 0.05, and tended to be larger in TCOMP than in BRAH. Teat and udder scores were moderately correlated phenotypically (0.37 ± 0.01) and genetically (0.53 ± 0.04) with each other. Both traits were uncorrelated genetically with calf birthweight but positively correlated with WWT and DWEAN. The genetic correlation between average teat score at calving and DWEAN was larger (0.54 ± 0.05) than that between US and DWEAN (0.33 ± 0.06), whereas the genetic correlation between US and maternal effects for WWT was larger (0.60 ± 0.08) than the corresponding value for average teat score with maternal WWT (0.37 ± 0.13). Correlations between BWT and WWT were high for both direct (0.63 ± 0.07) and maternal (0.50 ± 0.09) genetic effects. Genetic correlations between maternal effects for BWT or WWT with DWEAN were both negative (–0.23 ± 0.10 and –0.21 ± 0.04), while the correlation between BWT and WWT for maternal effects was positive (0.54 ± 0.09), showing that larger calves at birth are less likely to die before weaning and have heavier weaning weights from maternal genetic contributions to these traits. Selection on maternal components of BWT and WWT should be accompanied by recording for teat and udder characteristics to assist in preventing any undesired correlated response in teat or udder size, which can have detrimental outcomes for calf survival, despite expectations of higher milk yield.

Quantitative study of genetic gain for growth, carcass, and morphological traits of Nelore cattle

2019 ◽  
Vol 99 (2) ◽  
pp. 296-306
Author(s):  
Daniel Duarte da Silveira ◽  
Lucas De Vargas ◽  
Rodrigo Junqueira Pereira ◽  
Gabriel Soares Campos ◽  
Ricardo Zambarda Vaz ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Carcass Traits ◽  
Genetic Correlations ◽  
Correlated Response ◽  
Genetic Associations ◽  
Muscle Area ◽  
Genetic Gains ◽  
Fat Thickness ◽  
Nelore Cattle ◽  
Genetic Trends

The aim of this study was to evaluate the genetic variability, genetic and phenotypic associations, and genetic gains of birth (BW), weaning (WW), and yearling (YW) weights, loin muscle area (LMA), backfat thickness (BF), rump fat thickness (RF), scores of body structure (BS), finishing precocity (FS), and muscling (MS) in Nelore cattle. Genetic parameters were obtained through Bayesian inference using BLUPF90 programs. All studied traits showed genetic variability, with heritability ranging from 0.29 to 0.47. In all studied ages, weights presented positive genetic correlations with LMA (ranging from 0.13 to 0.53), being generally stronger in comparison with the other carcass traits analyzed (BF and RF). Similarly, weights were higher genetic associated with BS (0.47–0.92) than with FS (0.18–0.62) and MS (0.22–0.65), respectively. The BF and RF showed positive and moderate genetic associations with FS and MS (0.31–0.36). Genetic trends were significant (P < 0.05) and favorable for WW, YW, and visual scores. Selection for increasing BW, WW, YW, and LMA will result in modest or no change in BF and RF (correlated response ranging from −0.04 to 0.07 mm per generation). In this population, carcass traits must be included in the selection indexes to obtain genetic gains in carcass quality, if desired.

Genetic associations between mature size and condition score of Nelore cows, and weight, subjective scores and carcass traits as yearlings

2019 ◽  
Vol 59 (7) ◽  
pp. 1209 ◽  
Author(s):  
Viviane V. de Lacerda ◽  
Gabriel S. Campos ◽  
Daniel D. Silveira ◽  
Vanerlei M. Roso ◽  
Mario L. Santana ◽  
...  
Keyword(s):  
Body Condition ◽  
Body Condition Score ◽  
Carcass Traits ◽  
Genetic Correlations ◽  
Correlated Response ◽  
Genetic Associations ◽  
Breeding Values ◽  
Condition Score ◽  
Selection For ◽  
Mature Size

The size and body condition of female livestock is critical for improving production efficiency. However, we know little about how height and body condition score in mature beef cattle are genetically related to traits observed when the animals are younger. In the present study, we used data from 321650 Nelore cattle, first, to compare genetic parameters and breeding values on the basis of different models employing weight (MW), height (MH) and body condition score (BCS) of mature cows (3–17 years old). Next, we estimated the genetic correlations between the three traits and assorted yearling traits (YW, weight; YC; conformation score; YP, precocity score; YM, muscling score; YN, navel score; LMA, longissimus muscle area; BF, back fat thickness). Finally, we obtained the expected direct responses to selection for MW, MH and BCS of cows and correlated responses for these traits when the selection was applied to yearling traits. For MW and MH, single-trait Bayesian analyses were used to evaluate the effects of including BCS when defining contemporary groups (BCS included, CG1; BCS not included, CG2). For BCS trait, linear and threshold animal models were compared. After, bi-trait analyses that included MW, MH or BCS with yearling traits were performed. The CG1 scenario resulted in a higher heritability for MW (0.45 ± 0.02) than did CG2 (0.39 ± 0.02). Both scenarios yielded the same heritability estimates for MH (0.35 ± 0.02). Sires’ rank correlations between predicted breeding values under CG1 and CG2 were 0.60–0.92 for MW and 0.90–0.98 for MH, considering different selection intensities. Thus, only for MW genetic evaluations, the incorporation of BCS in the definition of the contemporary groups is indicated. For BCS trait, the same sires were selected regardless of the model (linear or threshold). Genetic correlations between MW and five yearling traits (YW, YC, YP, YM and YN) ranged from 0.18 ± 0.03 to 0.84 ± 0.01. The MH had a higher and positive genetic association with YW (0.64 ± 0.02) and YC (0.54 ± 0.03), than with YN (0.18 ± 0.03). However, MH was negatively and lowly genetically correlated with YP (–0.08 ± 0.03) and YM (–0.14 ± 0.03). The BCS had positive genetic associations with all yearling traits, particularly with YP (0.61 ± 0.06) and YM (0.60 ± 0.07). Mature size and carcass traits exhibited a low to moderate negative genetic correlations. However, BCS had positive genetic associations with LMA (0.38 ± 0.12) and BF (0.32 ± 0.14). Despite a shorter generation interval, selection at the yearling stage will result in a slower genetic progress per generation than does direct selection for cow MW, MH or BCS. Moreover, using YW and YC as selection criteria will increase cattle size at maturity without altering BCS. Last, LMA or BF-based selection will reduce mature size, while improving BCS, as a correlated response.

Genetic correlation between growth and reproductive performance of beef females depends on environment

2018 ◽  
Vol 58 (7) ◽  
pp. 1201 ◽  
Author(s):  
Mário L. Santana Jr ◽  
Joanir P. Eler ◽  
Annaiza B. Bignardi ◽  
Arione A. Boligon ◽  
José B. S. Ferraz
Keyword(s):  
Beef Cattle ◽  
Genetic Correlation ◽  
Reproductive Performance ◽  
Growth Traits ◽  
Genetic Correlations ◽  
Random Regression ◽  
Tropical Region ◽  
Correlated Response ◽  
Heterogeneous Environments ◽  
Environment Interaction

In tropical production systems, beef cattle are raised in highly heterogeneous environments. Heterogeneity is, therefore, expected to exist in the (co)variance components for traits of economic interest in different production environments. The main objective of the present study was to estimate genetic correlations between growth traits and reproductive performance of beef females, depending on the environment. The present study was conducted in the tropical region of Brazil, applying a multiple-trait random regression animal model to field records of heifer pregnancy (HP), hip height, bodyweight at ~18 months of age (BW18) and postweaning weight gain (PWG) from 20 893 Nelore females. As evidence of genotype by environment interaction (G × E), heterogeneity of genetic variance across environments was observed mainly for HP, PWG and BW18. Moreover, the estimates of genetic correlation within these traits reached values lower than unity on the environmental gradient. The genetic correlation among growth traits tended to be stronger in favourable environments, a fact that should favour correlated responses under these conditions. In contrast, the genetic correlations between growth traits and HP tended to become weaker and even exhibited little evidence of antagonism in more favourable environments. On the basis of these findings, selection for higher growth in extreme favourable environments should result in little or no damage to HP as a correlated response. All these results lead us to believe that the G × E is an important factor to be considered in genetic evaluations of beef cattle raised in tropical environments.

The importance of accounting for maternal genetic effects in Australian fine-wool Merino breeding

2005 ◽  
Vol 56 (8) ◽  
pp. 789 ◽  
Author(s):  
M. Asadi Fozi ◽  
J. H. J. Van der Werf ◽  
A. A. Swan
Keyword(s):  
Maternal Effects ◽  
Selection Index ◽  
Genetic Correlations ◽  
Fibre Diameter ◽  
Genetic Effect ◽  
Index Theory ◽  
Genetic Effects ◽  
Overall Response ◽  
Breeding Objective ◽  
Fleece Weight

(Co) variances for greasy fleece weight (GFW), clean fleece weight (CFW), mean fibre diameter (MFD), staple strength (SS), coefficient of variation of fibre diameter (CVFD), birthweight (BW), weaning weight (WW), and yearling weight (YW) were estimated for 5108 Australian Merino sheep from the CSIRO Fine Wool Project, born between 1990 and 1994. Covariances between these traits and number of lambs weaned per ewe joined (NLW) were also estimated. Significant maternal genetic effects were found for GFW, CFW, BW, WW, and YW. Estimates of heritability were biased upwardly when maternal effects were ignored. The maternal heritability estimates for GFW, CFW, BW, WW, and YW were 0.17, 0.15, 0.38, 0.28, and 0.13, respectively. Maternal effects were not important for MFD, CVFD, SS, and NLW. Direct-maternal genetic correlations within each fleece weight and bodyweight trait were estimated to be moderately negative (–0.26 to –0.48). The effect of ignoring maternal genetic effect was explored using selection index theory. Accounting for the maternal effects in both the selection criteria and breeding objective increased the overall response by 14.3%, 4.8%, 2.6%, 1.4%, and 0.0% in 3, 6, 12, 20 and 30% micron premium scenarios, respectively, compared with when the maternal effects were only included in breeding objective. Complete ignorance of the maternal effects led to overestimation in overall response of 2.8–35.7% for different micron premium scenarios in contrast to when the maternal effects were ignored in the selection index weight, but were included in the breeding objective. The results indicate that the maternal genetic effects of fleece weight and bodyweight should be considered in Merino breeding programs.

scholarly journals Estimates of direct, maternal and grandmaternal genetic effects for growth traits in Gobra cattle

1999 ◽  
Vol 22 (3) ◽  
pp. 363-367 ◽  
Author(s):  
M. Diop ◽  
J. Dodenhoff ◽  
L.D. Van Vleck
Keyword(s):  
Animal Models ◽  
Genetic Correlation ◽  
Random Effects ◽  
Maternal Effects ◽  
Environmental Effects ◽  
Genetic Parameters ◽  
Growth Traits ◽  
Genetic Effects ◽  
Average Information

Estimates of genetic parameters for birth (N = 3909), weaning (N = 3425), yearling (N = 2764) and final (N = 2144) weights were obtained from the records of Gobra cattle collected at the Centre de Recherches Zootechniques de Dahra, Senegal. Three animal models were fitted to obtain estimates by REML using an average information (AI) approach. Model 1 considered random direct, maternal genetic and maternal permanent environmental effects. In model 2, a general grandmaternal effect was added to the random effects considered in model 1, and in model 3, the general grandmaternal effect was divided into grandmaternal genetic and grandmaternal permanent environmental effects. All models allowed covariances among genetic effects. The inclusion of grandmaternal effects in models 2 and 3 did not change the estimates of the genetic parameters compared to model 1. Variances attributable to grandmaternal effects became negative and were set close to zero, except for yearling weight for which grandmaternal heritability was 0.03 ± 0.03. The estimates for direct and maternal heritabilities were, respectively, 0.08 ± 0.03 and 0.03 ± 0.02 for birth, 0.20 ± 0.05 and 0.21 ± 0.05 for weaning, 0.26 ± 0.07 and 0.16 ± 0.07 for yearling and 0.14 ± 0.06 and 0.16 ± 0.06 for final weights. The estimates of the genetic correlation between direct and maternal effects for birth, weaning, yearling and final weights were -0.17 ± 0.40, -0.58 ± 0.32, -0.52 ± 0.34 and -0.34 ± 0.37, respectively. For yearling weight with grandmaternal heritability estimated to be only 0.03, model 3 gave estimates of the genetic correlation between direct and grandmaternal effects and between maternal and grandmaternal effects of 0.28 ± 0.48 and -0.33 ± 0.67, respectively. Estimates of direct and maternal heritabilities were unchanged when grandmaternal effects were not included in the model.

scholarly journals Selection for social genetic effects in purebreds increases growth in crossbreds

2021 ◽  
Vol 53 (1) ◽  
Author(s):  
Birgitte Ask ◽  
Lizette Vestergaard Pedersen ◽  
Ole Fredslund Christensen ◽  
Hanne Marie Nielsen ◽  
Simon P. Turner ◽  
...  
Keyword(s):  
Standard Deviation ◽  
Genetic Correlation ◽  
Genetic Variance ◽  
Average Daily Gain ◽  
Genetic Correlations ◽  
Genetic Effects ◽  
Group Variation ◽  
Selection For ◽  
Crossbred Pigs ◽  
Positive Effect

Abstract Background Average daily gain (ADG) in pigs is affected by both direct and social genetic effects (SGE). However, selection for SGE in purebreds has not conclusively been shown to improve ADG in crossbreds, and it is unknown whether SGE in purebreds are equal to those in crossbreds. Moreover, SGE may reflect dominance related behaviour, which is affected by the variation in body weight within a group. Therefore, we hypothesized that (a) there is a positive effect of parent average SGE estimated in purebred pigs on phenotypic ADG in crossbred offspring, and (b) there is an interaction between SGE on ADG and standard deviation in starting weight of pigs within the group. We also hypothesized that (c) social genetic variance for ADG exists in crossbred pigs, and (d) there is a favourable genetic correlation between SGE on ADG in purebred and crossbred pigs. Results We found a statistically significant interaction between the standard deviation in starting weight and SGE within groups, and conditioning on the mean standard deviation in starting weight, we found a favourable regression coefficient (0.37 ± 0.21) of ADG in crossbreds on SGE in purebreds. Variances for SGE were small in both Landrace (L) and Yorkshire (Y), and higher for SGE in both the dam and sire component of crossbred YL. The genetic correlations between SGE in purebreds and the dam or sire component of SGE in crossbreds were also favourable (0.52 ± 0.48 and 0.34 ± 0.42, respectively), although not significantly different from 0. Conclusions We confirmed that there is a positive effect of SGE estimated using purebred information on phenotypic ADG in crossbreds, and that the largest effect is achieved when the within-group variation in starting weight is small. Our results indicate that social genetic variance in crossbreds exists and that there is a favourable genetic correlation between social genetic effects in purebreds and crossbreds. Collectively, our results indicate that selection for SGE on ADG in purebreds in a nucleus farm environment with little competition for resources can improve ADG in crossbreds in a commercial environment.

Genetic variation in litter size and 12-day weight in mice and their relationships with post-weaning growth

1974 ◽  
Vol 19 (1) ◽  
pp. 13-23 ◽  
Author(s):  
J. P. Hanrahan ◽  
E. J. Eisen
Keyword(s):  
Body Weight ◽  
Litter Size ◽  
Maternal Effects ◽  
Negative Correlation ◽  
Genetic Relationships ◽  
Genetic Correlations ◽  
Genetic Effects ◽  
Direct Effects ◽  
Body Weights ◽  
Sources Of Variation

SUMMARYData from a random-bred population of mice were used to examine the sources of variation in litter size and 12-day body weight, and, the genetic relationships between these traits and post-weaning body weights and body-weight gain from 3 to 6 weeks of age (post-weaning gain). The genetic model included maternal genetic effects in addition to the usual direct (individual) genetic effects. Such maternal genetic effects may be important to an understanding of traits like 12-day body weight of mice, where the young depend to a large extent on the mother for early postnatal nutrition.Analysis of litter size yielded a paternal half-sib heritability estimate of 0·34±0·19, while twice the daughter-dam regression was 0·23 ± 0·08. The repeatability of litter size was 0·51±0·07. The correlation between direct genetic effects on litter size and those on 3-, 6-, and 8- week body weights and post-weaning gain were –0·18,0·36,0-34 and 0·58 respectively. The correlation between direct genetic effects on litter size and 12-day weight was positive (0·41), while the genetic correlation between maternal effects on 12-day weight and direct effects on litter size was negative (–0·37).Analysis of 12-day weight showed that direct and maternal genetic effects were important sources of variation, but there was a large negative correlation (-0·88) between these effects. The usual genetic correlations between 12-day weight and post-weaning body weights were positive while post-weaning gain yielded a negative estimate. However, there appears to be a general negative correlation between direct genetic and maternal genetic effects in this population, for all such correlations were negative except that between direct effects on 12-day weight and maternal effects on post-weaning gain.

scholarly journals Genetic parameters of growth traits in Nellore cattle

2017 ◽  
Vol 38 (3) ◽  
pp. 1513
Author(s):  
Leandro Molina Kamei ◽  
Edson Luis De Azambuja Ribeiro ◽  
Nilva Aparecida Nicolao Fonseca ◽  
Carolina Amália De Souza Dantas Muniz ◽  
Tatiane Vito Camiloti ◽  
...  
Keyword(s):  
Genetic Correlation ◽  
Maternal Effects ◽  
Fixed Effects ◽  
Growth Traits ◽  
Correlation Coefficients ◽  
Correlated Response ◽  
Environmental Correlations ◽  
Nellore Cattle ◽  
Selection For ◽  
Heritability Estimates

This study evaluated non-genetic factors and calculated heritability estimates of direct and maternal effects for growth traits in Nellore cattle raised in southern Brazil. Performance records of 4170, 1538, 3139, 1830, and 1151 calves born from 2005 to 2011 were analyzed for birth weight (BW), adjusted120-day weight (W120), adjusted 205-day weight (W205), adjusted365-day weight (W365), and adjusted 550-day weight (W550), respectively. The components of (co)variance used to calculate heritability estimates were determined by Derivative-Free Restricted Maximum Likelihood using the MTDFREML software. Contemporary groups were included in the model as fixed effects, and direct and maternal effects, permanent environmental effects, and residual errors were included as random effects. Phenotypic correlations were estimated using the PROC CORR procedure from SAS. Overall means for BW, W120, W205, W365, and W550 were 38, 138, 201, 270, and 376 kg, respectively. Heritability estimates for direct and maternal effects were 0.17 ± 0.04 and 0.11 ± 0.03 (BW), 0.14 ± 0.03 and 0.03 ± 0.04 (W120), and 0.17 ± 0.04 and 0.09 ± 0.03 (W205). Genetic, phenotypic, and environmental correlations were 0.79, 0.44, and 0.32 for BW and W120, 0.79, 0.39, and 0.26 for BW and W205, and 0.96, 0.74, and 0.75 for W120 and W205. The results indicate that selection for pre-weaning weight would be more efficient using W205, and genetic correlation coefficients indicate that selection at any age should produce a positively correlated response at older ages. Genetic, phenotypic, and environmental correlation coefficients between W365 and W550 were 0.99, 0.75, and 0.76, respectively. Selection for adjusted 550-day weight should produce the greatest genetic gains. Genetic correlation coefficients between weight traits indicate that selection for weight at older ages, which could help reduce the number of weighings and increase accuracy of selection at younger ages, produces gains at older ages.

Factors associated with calf mortality in tropically adapted beef breeds managed in extensive Australian production systems

2014 ◽  
Vol 54 (1) ◽  
pp. 25 ◽  
Author(s):  
Kim L. Bunter ◽  
David J. Johnston ◽  
Matthew L. Wolcott ◽  
Geoffry Fordyce
Keyword(s):  
Production Systems ◽  
Production Environment ◽  
Factors Associated ◽  
Large Numbers ◽  
Risk Of Mortality ◽  
Previous Season ◽  
Calf Survival ◽  
Calf Mortality ◽  
Major Factors ◽  
Almost All

Data from 9296 calves born to 2078 dams over 9 years across five sites were used to investigate factors associated with calf mortality for tropically adapted breeds (Brahman and Tropical Composite) recorded in extensive production systems, using multivariate logistic regression. The average calf mortality pre-weaning was 9.5% of calves born, varying from 1.5% to 41% across all sites and years. In total, 67% of calves that died did so within a week of their birth, with cause of death most frequently recorded as unknown. The major factors significantly (P < 0.05) associated with mortality for potentially large numbers of calves included the specific production environment represented by site-year, low calf birthweight (more so than high birthweight) and horn status at branding. Almost all calf deaths post-branding (assessed from n = 8348 calves) occurred in calves that were dehorned, totalling 2.1% of dehorned calves and 15.9% of all calf deaths recorded. Breed effects on calf mortality were primarily the result of breed differences in calf birthweight and, to a lesser extent, large teat size of cows; however, differences in other breed characteristics could be important. Twin births and calves assisted at birth had a very high risk of mortality, but <1% of calves were twins and few calves were assisted at birth. Conversely, it could not be established how many calves would have benefitted from assistance at birth. Cow age group and outcome from the previous season were also associated with current calf mortality; maiden or young cows (<4 years old) had increased calf losses overall. More mature cows with a previous outcome of calf loss were also more likely to have another calf loss in the subsequent year, and this should be considered for culling decisions. Closer attention to the management of younger cows is warranted to improve calf survival.

Egg weight and reproduction traits in laying hens: estimation of direct and maternal genetic effects using Bayesian approach via Gibbs sampling

2000 ◽  
Vol 70 (1) ◽  
pp. 9-16 ◽  
Author(s):  
A. Sewalem ◽  
K. Johansson
Keyword(s):  
Gibbs Sampling ◽  
Maternal Effects ◽  
Genetic Correlations ◽  
Reproductive Traits ◽  
Genetic Effects ◽  
Egg Weight ◽  
Zygote Development ◽  
Reproduction Traits ◽  
Female Reproductive Traits ◽  
Weight Trait

AbstractFertility, generally considered as a trait of the two parents, is perhaps best defined as the interaction between the male and female gametes in the production of a viable zygote. Although zygote development and hatchability are traits of the embryo influenced by maternal effects, in most previous studies they have been considered to be female reproductive traits. The aim of this work was to study the influence of sire on fertility and hatchability traits and to estimate the (co)variance components of direct and maternal genetic effects under a Bayesian setting via Gibbs sampling. We measured the fertility of 6396 eggs and the hatchability of 5393 embryos on an individual basis. In addition, egg weight from 42 to 63 weeks of age (EW63) was recorded on an individual egg basis. The sire accounted for a significant amount of the variation infertility and hatchability. For direct heritability, the marginal posterior mean, for fertility and hatchability were almost equal (0·24). The maternal heritabilities for fertility and hatchability were 0·20 and 0·18, respectively. The direct heritability value for the egg weight trait was high. The direct-direct genetic correlation between egg weight and hatchability was negative and significant. The genetic correlations between the direct effect of the egg weight trait and maternal effects for fertility and hatchability were low, with variable signs, and were not significant. On the other hand, significant negative genetic correlations between direct and maternal effects of fertility and hatchability were obtained (the posterior means were –0·56 for FE and –0·55 for HC).

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