Days To Calving Research Articles

Genetic associations between stayability to consecutive calvings and traits of economic interest in taurine and zebu breeds.

Stayability (STAY) is a way to evaluate the productive longevity of females. Measuring the STAY at each cow calving allows earlier indicators of longevity to be obtained. Our objective with this study was to verify the association between STAY and consecutive calvings and traits potentially used as selection criteria in beef cattle, such as age at first calving (AFC), days to calving (DC), weaning weight (WW), and yearling weight (YW). Data from the Nelore, Angus/Brangus, and Hereford/Braford breeds were used. The estimation of variance components and subsequent prediction of breeding values were performed for all traits. The estimated breeding values (EBV) were used to analyse the association between STAY and the other traits. The Pearson's correlation estimated between the EBV for the intercept coefficient for STAY to consecutive calvings and those of AFC, DC, WW (direct and maternal effects), and YW was favourable and of low magnitude (<0.25) depending on the breed studied. The influence of the genetic merit of AFC on the chance of selection for STAY was favourable and relevant regardless of the intensity of selection and breed. DC and WW (maternal effect) traits were favourably influenced by the chance of selection for STAY, irrespective of breed. The WW (direct effect) did not affect the chance of selection for STAY for the Nelore and Hereford/Braford breeds and negatively influenced, but to a small extent, the Angus/Brangus breed. For YW, an increase in genetic merit affected the chances of selection for STAY, depending on the breed and selection intensity evaluated. The influence of the genetic merit for AFC, DC, and WW (maternal effect) on the chance of selection for STAY to consecutive calvings was favourable and relevant regardless of the selection intensity scenario evaluated. The WW (direct effect) did not influence the chance of selection for STAY. For the scenario with high selection intensity, the selection for YW favourably influenced the chance of selection for STAY in Angus/Brangus and Hereford/Braford breeds but not in Nelore.

Genetic Correlations between Days to Calving across Joinings and Lactation Status in a Tropically Adapted Composite Beef Herd

Female fertility is essential to any beef breeding program. However, little genetic gain has been made due to long generation intervals and low levels of phenotyping. Days to calving (DC) is a fertility trait that may provide genetic gain and lead to an increased weaning rate. Genetic parameters and correlations were estimated and compared for DC across multiple joinings (first, second and third+) and lactation status (lactating and non-lactating) for a tropical composite cattle population where cattle were first mated as yearlings. The genetic correlation between first joining DC and mature joining DC (third+) was moderate–high (0.55–0.83). DC was uncorrelated between multiparous lactating and non-lactating cows (rG = −0.10). Mature joining DC was more strongly correlated with second joining lactating DC (0.41–0.69) than with second joining non-lactating DC (−0.14 to −0.16). Thus, first joining DC, second joining DC and mature joining DC should be treated as different traits to maximise genetic gain. Further, for multi-parous cows, lactating and non-lactating DC should be treated as different traits. Three traits were developed to report back to the breeding programs to maximise genetic gain: the first joining days to calving, the second joining days to calving lactating and mature days to calving lactating.

Reproductive performance of Angus, Hereford, Salers and Nellore crossbred females: Additive and non-additive effects.

Reproductive traits in breeding herds can be improved through crossbreeding, which results in breed differences, heterosis and breed complementarity. The aim of this study was to estimate group additive genetic and dominance effects for three reproductive traits; probability of artificial insemination (AIP); calving success (CS); and days to calving (DC) for Hereford (H), Angus (A), Nellore (N) and Salers (S) breeds under grazing conditions. Data were obtained from an experiment carried out during 1992-2002 by the Faculty of Agronomy, Universidad de la Republica (UdelaR), Uruguay and Caja Notarial de Seguridad Social. The data set contained reproductive information of 1,164 females from 11 different genetic groups (GG) consisting of crosses between H, N, S and A. AIP, CS and DC were examined in first-calf heifers, while CS and DC were examined in second-calf and 3- to 7-year-old cows. Least square means for each GG and group additive genetic and dominance effects were estimated for each trait. F1 crossbreed females performed better for artificial insemination probability than purebred females. Crossbred A/H heifers had the highest AIPs and CS rates, while crossbred N/H 3- to 7-year-old cows recorded the highest averages for CS and DC. Estimates of group additive genetic effects did not differ amongst A, S, N and H; however, dominance increased the AIP and CS of the heifers.

Genetic evaluation for days to calving in Nellore heifers using Exponential and Gaussian Censored Bayesian models

Days to calving (DC) plays a key role in the overall profitability and long-term sustainability of tropically-adapted beef cattle breeds (e.g. Nellore), especially those raised under extensive production systems. However, some females usually do not have reliable phenotypic records because of late calving and even failures in its recording, which can be considered as censored data. Furthermore, DC tends to present an asymmetric distribution (such as Exponential) as it represents the time to an event occurrence, i.e., calving. Thus, we aimed to propose and evaluate the Exponential censored Bayesian models for genetic evaluation of DC in Nellore cattle as well as to perform comparison analysis (predictive ability and goodness-of-fit) with the conventional Gaussian models. Additionally, different scenarios were based on censoring definition according to the cut-off values: 321, 351 and 381 DC. The predictive ability was evaluated under a cross-validation approach, and the goodness-of-fit were performed using the Deviance Information Criterion (DIC). Gaussian models presented higher predictive ability and lower DIC (better goodness-of-fit) compared to Exponential models. Censored models provided higher predictive ability than uncensored models. The highest predictive performance was observed for Gaussian models, which also reported more realistic heritability estimates (ranging from 0.03 to 0.23). Additionally, Spearman correlations and coincidence rates were higher between different censored scenarios in Gaussian models. The inclusion of censored data into genetic evaluations could be recommended for Gaussian models, and the proposed Exponential model was not suitable for genetic evaluations of DC.

Genetic analysis of female reproductive efficiency, scrotal circumference and growth traits in Nelore cattle

This study estimated the genetic variability and correlations between growth and reproductive traits in Nelore cattle. Annual genetic changes in female reproductive traits were also evaluated using repeated measures. Direct heritability was moderate for the growth traits and scrotal circumference (0.235 ± 0.015 to 0.443 ± 0.006), indicating genetic variability in these traits in the population studied. Maternal heritability was low for weaning height (0.042 ± 0.012) and weaning weight (0.112 ± 0.013). Regarding female reproductive traits, gestation length (GL) exhibited a slightly higher heritability (0.179 ± 0.006) than days to calving (DC) and calving interval (CI) (0.123 ± 0.006 and 0.105 ± 0.008, respectively). Repeatability was lower for GL (0.222 ± 0.006) compared to DC (0.318 ± 0.004) and CI (0.406 ± 0.006). Moderate and positive genetic correlations were obtained between the growth traits and scrotal circumference, ranging from 0.193 ± 0.019 to 0.519 ± 0.007. Weaning height showed low and positive genetic associations with GL (0.138 ± 0.007) and CI (0.189 ± 0.016), but was not correlated with DC (−0.016 ± 0.011). Similarly, weaning weight, yearling height or yearling weight was not associated with any of the female reproductive traits. The genetic correlations between scrotal circumference and female reproductive traits were negative and favorable, but low: −0.116 ± 0.020 (GL), −0.084 ± 0.028 (DC), and −0.054 ± 0.038 (CI). Favorable genetic associations were estimated between all female reproductive traits, ranging from 0.170 ± 0.040 to 0.442 ± 0.050. Genetic changes were favorable for GL and CI (−0.02 days/year and −0.11 days/year, respectively) and unfavorable for DC (0.16 days/year). In conclusion, selection for higher growth using the estimated breeding values for height and weight will not affect the reproductive performance of Nelore females. Nonetheless, simultaneous selection for growth and reproductive traits is possible.

Divergent genotypes for fatness or residual feed intake in Angus cattle. 3. Performance of mature cows

This experiment evaluated the productivity of 500 Angus cows that differed in genetic merit for either subcutaneous rib fat depth (Fat) or residual feed intake (RFI) based on estimated breeding values (EBVs) and managed under two levels of nutrition. Reproductive rate over four calving opportunities in mature cows and growth performance of progeny to weaning was assessed. Level of nutrition significantly affected all body composition traits for both Fat and RFI line cows. Cows on High-Nutrition were 14–16% heavier (P &lt; 0.001) than those on Low-Nutrition. Differences in EBVs for fatness were reflected in phenotypic fatness at maturity. High-RFI line cows were fatter for both scanned rump (P8) and rib (RIB) fat depth relative to their Low-RFI contemporaries. Of those cows that were lactating, there was no significant effect of line or nutrition on pregnancy rate or days to calving (DC). There was, however, a trend (P &lt; 0.1) in the Low-Fat line cows towards longer DC compared with the High-Fat line cows. There was no significant effect of either line or nutrition on calf birthweight. Calves with mothers on High-Nutrition were 8% heavier at weaning (P &lt; 0.001) than those on Low-Nutrition. Lower EBVs for RFI was associated with higher 200-day growth EBV and heavier calves at weaning. Current carcass BREEDPLAN EBVs can be used to select for changes in cow body composition if desired. In this experiment, Angus cows selected for lower RFI or with below-average fatness EBV and had raised a calf at every previous opportunity were not compromised in pregnancy rate or DC at maturity under varying nutrition such as can be experienced during normal seasonal conditions in southern Australia. However, selection for lower RFI was associated with lower weaning rate (P &lt; 0.05), which warrants further investigation to confidently predict the implications for commercial cattle production.

Comparison of models for the genetic evaluation of reproductive traits with censored data in Nellore cattle.

In typical genetic evaluation, often some females have missing records due to reproductive failure and due to voluntary and involuntary culling before the breeding season. These partially or unobserved phenotypes are known as censored records and their inclusion into genetic evaluations might lead to better inferences and breeding value predictions. Then, the objective was to compare prediction ability of models in which the phenotypic expression of age at the first calving (AFC) and days to calving (DC) were considered to be censored and uncensored in a Nellore cattle population. Age at first calving and days to calving were analyzed as following: uncensored animals (LM); penalization of 21 d (PLM); censored records simulated from truncated normal distributions (CLM); threshold-linear model in which censored records were handled as missing (TLM) or coded as the upper AFC/DC value within contemporary group (PTLM); and Weibull frailty hazard model (WM). Pearson correlations (PC), the percentage of the 10% best bulls in common (pTOP10%), accuracy of estimated breeding values (), and a cross-validation scheme were performed. Heritability estimates for AFC were 0.18, 0.12, 0.12, 0.17, 0.14, and 0.07 for LM, PLM, CLM, TLM, PTLM, and WM, respectively. PC and pTOP10% were higher among linear models and smaller between these models and WM. The models provided similar r of sire breeding values. Heritability estimates for DC were 0.03, 0.08, 0.06, 0.02, 0.07, and 0.10 for LM, PLM, CLM, TLM, PTLM, and WM, respectively. Strongly associated predictions were observed in CLM, PLM, PTLM, and WM. The highest coincidence levels of sires in the TOP10% were between CLM, PLM, and PTLM. The r of sire breeding values obtained applying CLM, PLM, PTLM, and WM were similar and higher than those obtained with LM and TLM. In terms of prediction ability, WM, PLM, TLM, and PTLM showed similar prediction performance for AFC. On the other hand, CLM, PLM, PTLM, and WM showed the similar prediction ability for DC Therefore, these models would be recommended to perform genetic evaluation of age at first calving and days to calving in this Nellore population.

Genetic relationship between heifers and cows fertility and milk yield traits in first-parity Iranian Holstein dairy cows

Relationship between reproductive characteristics of heifers and cows and milk production traits in Iranian primiparous Holstein dairy cows were investigated under a Bayesian approach using data collected from 1995 to 2014. The studied reproductive traits in heifers were success or failure at first insemination (SFH), number of inseminations for conception (INSH), and days to calving (DC). Considered reproductive traits in cows were success or failure at first insemination (SFC), number of insemination for conception (INSC) and days open (DO). Milk production traits were included 305-day adjusted milk yield (MY), fat yield (FY) and protein yield (PY). Linear models were used for the analysis of INSH, DC, INSC and DO, while threshold models were used for SFH and SFC. Direct heritability estimates were0.012, 0.029, 0.049, 0.006, 0.010, 0.039, 0.252, 0.167 and 0.214 for INSH, INSC, OD, DC, SFH, SFC, MY, FY and PY, respectively. Genetic correlation estimates between reproductive traits were high and negative for SFH and SFC with INSH, INSC, OD and DC; varying between −0.991 for INSC-SFC and −0.627 for OD-SFH. Genetic correlation estimates between INSC, INSH, OD and DC were high and positive, varying from 0.638 for INSH-OD to 0.932 for INSC-DC. A positive estimate of 0.613 was obtained for the genetic correlation between SFC and SFH. Genetic and phenotypic correlations between milk production traits were positive and high. Unfavorable genetic correlations were obtained between MY, FY and PY with reproductive traits, varying from −0.617 for SFC-PY to 0.593 for OD-MY. High genetic correlations were found for SFH-SFC (0.613) and INSH-INSC (0.862). The reproductive traits considered in heifers (except for DC) had medium to high genetic correlations with milk production and cow's reproduction traits. Furthermore, reproductive traits of heifers can be measured relatively early in the life. Therefore, it can be concluded that including reproductive traits of heifers in genetic evaluation programs can be useful of Iranian Holsteins.

Repeatability and genotypic correlations of reproductive and productive traits of crossbred beef cattle dams.

Beef cattle production requires reproductive efficiency. However, measures of reproductive traits are not usually collected; consequently, correlated traits that could be used as indicators would be useful. We examined associations between measures of reproductive and productive efficiency that could be used as selection indicators. Data from 194 dams of the genetic groups Angus x Nelore, Caracu x Nelore, and Valdostana x Nelore collected over 4 years were used. The reproductive traits analyzed were days to heat (DH), calving interval (CI), days to calving (DC), and pregnancy rate (PR). The productive traits were dam weight (DW), body condition score (BCS), calf weight (CW), and weaning rate (WR). The effects on the model were: year, genetic group, reproductive status (RS), age, reproductive rest, and breed of bull (CW and WR). Multivariate analyses were performed, using the Bayesian approach via Gibbs sampling. We conclude that the reproductive measures are ineffective as selection indicators, whereas using dam weight may be a good alternative.

Genetic analysis of female fertility traits in Canadian Simmentals

Calving to first insemination (CFI) (probability that a cow will produce a calf from her first service) and days to calving (DC) (interval between the first exposure to the bull and calving) defined separately for heifers and multi-parity cows were analyzed with a 4-trait linear animal model. The data were 108,206 records on 56,879 Canadian Simmental females with artificial insemination (AI) and natural service (NS) breeding records from 1974 to 2010. The model included fixed effects of year-season of breeding, age of cow by season of breeding, and age of cow's dam. Random effects were: contemporary group defined as herd within breeding year-season by breeding status for the first insemination (AI or NS), service sire by year of breeding (for CFI only), animal genetic, and cow permanent environmental (PE) effects. Bayesian methods were used to estimate covariance components and genetic parameters. Three specific models with different levels of heterogeneity for covariances in NS and AI data were tested. Results are reported for the most plausible specification which was the model that assumed different residual covariances for NS and AI records. The data exhibited substantial heterogeneity of residual covariance components with respect to the type of first breeding, with AI records having larger residual variances for both traits. Pooled estimates (SD) of heritability ranged from 1.8% (0.33) for CFI in heifers to 3.5% (0.47) for DC in multi-parity cows. Interval trait (DC) had higher heritability compared with CFI; both traits expressed in older cows were more heritable than corresponding traits for heifers. Contemporary group contributed up to 58% (0.51) of the total variance for DC in heifers by NS breeding. Service sire and the PE were relatively larger (smaller) sources of variation compared with additive genetic (contemporary group) effects. All traits were highly genetically correlated: from 0.69 (0.06) for CFI in heifers and multi-parity cows to 0.92 (0.04) for DC in heifers and multi-parity cows. Environmental correlations ranged from −0.73 (0.01) between CFI in heifers and DC in older cows, to 0.91 (0.01) for DC in heifers and multi-parity cows. Results indicated that CFI and DC expressed different aspects of female fertility in beef cattle, and fertility of heifers and multi-parity cows seemed to be different traits genetically. All four traits could be used in a form of selection index in Canadian Simmentals to breed for better fertility. Genetic progress, however, would be challenging given low values of heritability.

Genetic analyses of days to calving and their relationships with other traits in a Canchim cattle herd

Heritabilities and genetic correlations in a Canchim beef cattle herd were estimated using data on the following traits: male scrotal circumference at twelve months (SC12); days to first calving (DFC) for heifers; days to calving (DC) for cows; male and female weight (W) at twelve months (W12); heifer weight at the start of the first breeding season (WFBS) and at first calving (WFC); and cow weight at the start of the breeding season (WBS) and at calving (WC). Analyses of the DFC and DC traits were carried out excluding and including penalized (DFC P and DC P) non-calving females. The restricted maximum likelihood method was used, applying one-trait models for the DFC and DC analyses and two-trait models for analyses of DFC and DC combined with the other traits studied. Statistical models included fixed and additive direct random effects for all traits, maternal permanent environmental random effect for SC12 and W12, and the animal permanent environmental random effect for DC P, WBS and WC. We found that DFC and DC values can be improved by selecting for an increase in the SC12. Genetic correlations between DFC and W12 and between DC and W12 indicated that selection for increased W12 may increase DFC but does not produce significantly correlated responses in DC. Associations of the other body weight traits with DC and DFC suggest that heavier females experience lower reproductive performance.

Estimates of genetic correlations between days to calving and reproductive and weight traits in Nelore cattle

Data comprising 53,181 calving records were analyzed to estimate the genetic correlation between days to calving (DC), and days to first calving (DFC), and the following traits: scrotal circumference (SC), age at first calving (AFC), and weight adjusted for 550 d of age (W550) in a Nelore herd. (Co)variance components were estimated using the REML method fitting bivariate animal models. The fixed effects considered for DC were contemporary group, month of last calving, and age at breeding season (linear and quadratic effects). Contemporary groups were composed by herd, year, season, and management group at birth; herd and management group at weaning; herd, season, and management group at mating; and sex of calf and mating type (multiple sires, single sire, or AI). In DFC analysis, the same fixed effects were considered excluding the month of last calving. For DC, a repeatability animal model was applied. Noncalvers were not considered in analyses because an attempt to include them, attributing a penalty, did not improve the identification of genetic differences between animals. Heritability estimates ranged from 0.04 to 0.06 for DC, from 0.06 to 0.13 for DFC, from 0.42 to 0.44 for SC, from 0.06 to 0.08 for AFC, and was 0.30 for W550. The genetic correlation estimated between DC and SC was low and negative (-0.10), between DC and AFC was high and positive (0.76), and between DC and W550 was almost null (0.07). Similar results were found for genetic correlation estimates between DFC and SC (-0.14), AFC (0.94), and W550 (-0.02). The genetic correlation estimates indicate that the use of DC in the selection of beef cattle may promote favorable correlated responses to age at first mating and, consequently, higher gains in sexual precocity can be expected.

Threshold-linear analysis of measures of fertility in artificial insemination data and days to calving in beef cattle.

Mating and calving records for 47,533 first-calf heifers in Australian Angus herds were used to examine the relationship between days to calving (DC) and two measures of fertility in AI data: 1) calving to first insemination (CFI) and 2) calving success (CS). Calving to first insemination and calving success were defined as binary traits. A threshold-linear Bayesian model was employed for both analyses: 1) DC and CFI and 2) DC and CS. Posterior means (SD) of additive covariance and corresponding genetic correlation between the DC and CFI were -0.62 d (0.19 d) and -0.66 (0.12), respectively. The corresponding point estimates between the DC and CS were -0.70 d (0.14 d) and -0.73 (0.06), respectively. These genetic correlations indicate a strong, negative relationship between DC and both measures of fertility in AI data. Selecting for animals with shorter DC intervals genetically will lead to correlated increases in both CS and CFI. Posterior means (SD) for additive and residual variance and heritability for DC for the DC-CFI analysis were 23.5 d2 (4.1 d2), 363.2 d2 (4.8 d2), and 0.06 (0.01), respectively. The corresponding parameter estimates for the DC-CS analysis were very similar. Posterior means (SD) for additive, herd-year and service sire variance and heritability for CFI were 0.04 (0.01), 0.06 (0.06), 0.14 (0.16), and 0.03 (0.01), respectively. Posterior means (SD) for additive, herd-year, and service sire variance and heritability for CS were 0.04 (0.01), 0.07 (0.07), 0.14 (0.16), and 0.03 (0.01), respectively. The similarity of the parameter estimates for CFI and CS suggest that either trait could be used as a measure of fertility in AI data. However, the definition of CFI allows the identification of animals that not only record a calving event, but calve to their first insemination, and the value of this trait would be even greater in a more complete dataset than that used in this study. The magnitude of the correlations between DC and CS-CFI suggest that it may be possible to use a multitrait approach in the evaluation of AI and natural service data, and to report one genetic value that could be used for selection purposes.

Threshold-linear analysis of measures of fertility in artificial insemination data and days to calving in beef cattle1

Mating and calving records for 47,533 first-calf heifers in Australian Angus herds were used to examine the relationship between days to calving (DC) and two measures of fertility in AI data: 1) calving to first insemination (CFI) and 2) calving success (CS). Calving to first insemination and calving success were defined as binary traits. A threshold-linear Bayesian model was employed for both analyses: 1) DC and CFI and 2) DC and CS. Posterior means (SD) of additive covariance and corresponding genetic correlation between the DC and CFI were −0.62 d (0.19 d) and −0.66 (0.12), respectively. The corresponding point estimates between the DC and CS were −0.70 d (0.14 d) and −0.73 (0.06), respectively. These genetic correlations indicate a strong, negative relationship between DC and both measures of fertility in AI data. Selecting for animals with shorter DC intervals genetically will lead to correlated increases in both CS and CFI. Posterior means (SD) for additive and residual variance and heritability for DC for the DC-CFI analysis were 23.5 d2 (4.1 d2), 363.2 d2 (4.8 d2), and 0.06 (0.01), respectively. The corresponding parameter estimates for the DC-CS analysis were very similar. Posterior means (SD) for additive, herd-year and service sire variance and heritability for CFI were 0.04 (0.01), 0.06 (0.06), 0.14 (0.16), and 0.03 (0.01), respectively. Posterior means (SD) for additive, herd-year, and service sire variance and heritability for CS were 0.04 (0.01), 0.07 (0.07), 0.14 (0.16), and 0.03 (0.01), respectively. The similarity of the parameter estimates for CFI and CS suggest that either trait could be used as a measure of fertility in AI data. However, the definition of CFI allows the identification of animals that not only record a calving event, but calve to their first insemination, and the value of this trait would be even greater in a more complete dataset than that used in this study. The magnitude of the correlations between DC and CS-CFI suggest that it may be possible to use a multitrait approach in the evaluation of AI and natural service data, and to report one genetic value that could be used for selection purposes.

Evaluation of beef cattle genotypes and estimation of direct and maternal genetic effects in a tropical environment. 3. Fertility and calf survival traits

Data from a crossbreeding experiment were analysed to compare various breeds in a tropical environment. Data included male fertility [scrotal circumference at yearling age (YSC) and at 18 months of age (FSC)], female fertility [calving success (CS) and days to calving (DTC)], and calf survival [survival of calf up to 1 week after birth (WKS) and up to weaning (PWS)] traits. Male fertility traits were analysed as traits of the progeny generation, whereas female fertility and calf survival traits were analysed as traits of the dam (parental generation). Tropically adapted British breed bulls and taurine crossbreds (British × Sanga) had higher YSC and FSC than Zebu and its crosses when adjusted for their body weights. Large negative direct and maternal additive effects on scrotal circumference for Zebu relative to the British breed also suggested reduced scrotal circumference and fertility in Zebu and Zebu-derived crosses. Direct dominance effects for YSC and FSC were only significant when an adjustment for body weight was not included in the model, emphasising that the heterosis observed was only due to the increased body weight. In general, CS was higher in non-lactating cows and maiden heifers than in lactating cows. The advantage to crossbred genotypes was more pronounced in lactating cows. Among lactating purebreds, CS was significantly (P &lt; 0.05) higher in Belmont Adaptaur (Hereford–Shorthorn, HS) than in Belmont Red (AX), Belmont Brahman cross (BX), and Brahman (Bh). Lactating crossbreds with a common dam breed of HS, AX, BX, and Bh had 19, 33, 21, and 14% greater CS than their respective purebreds. Boran-sired crossbred dams had higher CS than Brahman-sired crossbreds, indicating higher fertility levels of Borans. Significant direct dominance effect for CS in lactating taurine–indicine crosses and in non-lactating taurine–taurine crosses signifies the importance of use of appropriate breed crosses in improving female fertility. Significantly negative (desirable) direct dominance effects for DTC in indicine–indicine and taurine–indicine crosses suggest an advantage from crossbreeding in achieving early calvings. High mortalities were recorded in calves born to HS dams from matings with Brahman bulls due to dystocia. This resulted in low WKS and PWS for HS dam breeds. All additive and dominance effects for calf survival traits were non-significant except for the direct dominance effect in taurine–indicine crosses for PWS. Moderate percentage heterosis estimates in lactating cows for CS and desirable, significant, but low percentage heterosis estimates for DTC were observed. Percentage heterosis estimates for calf survival traits were low and non-significant.

Análise genética de características reprodutivas na raça Nelore

O objetivo deste trabalho foi estimar os coeficientes de herdabilidade da idade ao primeiro parto, dias para o parto (DPP), duração da gestação (DG) e perímetro escrotal (PE) bem como a correlação genética entre perímetro escrotal e estas características reprodutivas medidas nas fêmeas, na raça Nelore. A idade ao primeiro parto foi avaliada em fêmeas expostas pela primeira vez ao touro em torno de 14 meses de idade (IPP14), e em fêmeas expostas ao touro em torno de 26 meses (IPP26). Foram analisados conjuntos de dados que variaram de 6.030 a 94.637 observações. As análises foram processadas utilizandose modelos animais bi-característica. Os coeficientes de herdabilidade obtidos em relação às características reprodutivas foram: 0,19 (IPP14), 0,02 (IPP26), 0,07 (DPP), 0,26 (DG), e 0,47 (PE). As correlações genéticas obtidas foram: -0,39 (PE e IPP14), -0,19 (PE e IPP26), 0,02 (PE e DPP) e 0,02 (PE e DG). Concluiu-se que a idade ao primeiro parto pode ser utilizada como critério de seleção para precocidade sexual, e que a seleção de touros com base no mérito genético para PE pode resultar na diminuição da idade ao primeiro parto de suas filhas. A baixa herdabilidade obtida quanto aos DPP, associada com a sua baixa correlação com PE, sugerem a necessidade do estudo de outras características que possam avaliar diretamente a fertilidade da fêmea.

Correlação genética entre perímetro escrotal e algumas características reprodutivas na raça Nelore

Dados de perímetro escrotal e de características reprodutivas medidas na fêmea foram analisados com o objetivo de estimar o coeficiente de herdabilidade de cada característica e a correlação genética entre as características. Os dados foram obtidos em 11 fazendas pertencentes a uma mesma empresa, situadas nos Estados de São Paulo, Mato Grosso do Sul e Goiás. Os componentes de variância foram estimados por máxima verossimilhança restrita utilizando modelo animal bi-característica. Para as características com medidas repetidas, foram utilizados dois modelos matemáticos: um incluindo ambiente permanente da vaca e outro não. As análises nas quais o modelo não incluía o ambiente permanente da vaca mostraram as seguintes herdabilidades 0,51; 0,12; 0,17; 0,06; e 0,13 para perímetro escrotal (PE), idade ao primeiro parto (IPP), dias para o parto (DPP), intervalo de partos (IP) e duração da gestação (DG), respectivamente. Nestas análises, as correlações genéticas foram: -0,22 (PE x IPP), -0,04 (PE x DPP), 0,10 (PE x IP) e -0,04 (PE x DG). Quando o ambiente permanente foi incluído no modelo, as herdabilidades de DPP (0,07) e DG (0,06) foram menores, indicando que modelos sem ambiente permanente podem superestimar a variância genética aditiva dessas duas características. Os parâmetros da característica IP não foram, entretanto, alterados pela inclusão do ambiente permanente no modelo. O PE apresentou correlações genéticas favoráveis com IPP, DPP e DG, mas estas foram geralmente de baixa magnitude. Estes resultados permitem a utilização do perímetro escrotal como critério de seleção para melhorar a eficiência reprodutiva das fêmeas.

Days to calving in Angus cattle: Genetic and environmental effects, and covariances with other traits

Abstract Field data from Angus herds in Australia were used to examine systematic effects influencing days to calving (DC) and to estimate genetic correlations between DC and other traits. Days to calving was computed as the interval in days between the first joining date each year for a cow under paddock mating and subsequent calving. Non-calvers received a predicted DC record. Herd, year-month of joining, service sire, previous joining season and age at joining significantly influenced DC. Lactation status of older cows did not affect DC. Calving difficulty in first calf heifers had no observed effect on their subsequent DC record. Alternative methods for allocating a predicted or ‘penalty’ DC record for non-calvers were investigated. Estimates of covariances among DC records from different parities, and between DC and calving success and weight traits were obtained by Restricted Maximum Likelihood, using a derivative-free algorithm. Very high genetic correlations among repeat DC records ( r g = 0.85) and between DC and calving success ( r g = −0.97) were observed. Genetic correlations between early weight traits and DC were positive and low, but not significantly different from zero.