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ABSTRACT: The objective of this research was to estimate genetic parameters for a multiple-trait evaluation of dystocia (DYS), perinatal mortality (PM), birth weight (BWT), and gestation length (GL) in Holsteins. The data included 5,712 calving records collected between 1968 and 2005 from the Iowa State University dairy breeding herd in Ankeny. The incidence of PM was 8.8% and that of DYS 28.8%; mean BWT was 40.5 kg, and GL was 279 d. A threshold-linear animal model included the effects of year, season, sex of calf, parity, sire group, direct genetic, maternal genetic, and maternal permanent environment. Direct heritabilities for DYS, PM, BWT, and GL were 0.11 (0.04), 0.13 (0.05), 0.26 (0.04), and 0.51 (0.05), respectively. Maternal heritabilities were 0.14 (0.04), 0.15 (0.03), 0.08 (0.01), and 0.08 (0.02), for DYS, PM, BWT, and GL, respectively. The heritabilities are the posterior means of the Gibbs samples with their standard deviations in parentheses. The direct genetic correlation between PM and DYS was estimated at 0.67 (0.19), whereas the maternal genetic correlation was 0.45 (0.16). Direct and maternal PM and DYS are partially controlled by the same genes. Selection on only calving ease is not sufficient to control PM. With moderate genetic correlations between all 4 traits, BWT and GL should be included with DYS and PM in an evaluation of calving performance.
Journal of Dairy Science 01/2011; 94(1):450-60. · 2.56 Impact Factor
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M Knauer,
K J Stalder,
T Serenius,
T J Baas, P J Berger,
L Karriker,
R N Goodwin,
R K Johnson,
J W Mabry,
R K Miller,
O W Robison,
M D Tokach
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ABSTRACT: The purpose of this study was to determine the association of production factors with stayability to parity 4 (STAY4) under controlled experimental conditions. Data were from 2,293 female pigs, sampled from 6 genetic lines that were entered into the National Pork Producers Council Maternal Line National Genetic Evaluation Program. Genetic lines evaluated included Newsham (NH), National Swine Registry (NSR), American Diamond Swine Genetics (ADSG), Danbred (DAN), and 2 Dekalb-Monsanto lines (DK44 and GPK347). Stepwise logistic regression was utilized in the analysis of STAY4. All effects were nested within genetic line. Categorical effects in the model were arrival date to the wean-to-finish unit (entry date) and breed-gestation-farrowing facility (farm). Continuous effects in the model were gilt backfat, LM depth, ADG, age at puberty, age at first farrowing, and traits recorded before the last litter of the sow (prefarrow backfat, number born alive, number weaned, litter weaning weight, lactation feed intake, lactation backfat loss, and lactation length). Factors significant for STAY4 included farm, entry date, age at first farrowing, ADG, gilt backfat, and lactation before removal effects, as well as feed intake, number born alive, and lactation length. Age at first farrowing and lactation feed intake affected all genetic lines. Regression coefficients for STAY4 on age at first farrowing were -0.014, -0.022, -0.017, -0.016, -0.011, and -0.021 (all P < 0.05), respectively, for NH, NSR, ADSG, DK44, GPK347, and DAN genetic lines. Regression coefficients for STAY4 on lactation feed intake were 0.043, 0.049, 0.051, 0.061, 0.120, and 0.097 (all P < 0.05), respectively, for NH, NSR, ADSG, DK44, GPK347, and DAN females. Age at puberty, age at first farrowing, and lactation feed intake had the greatest effect on STAY4.
Journal of Animal Science 11/2010; 88(11):3486-92. · 2.10 Impact Factor
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ABSTRACT: Genetic variation and resemblance among relatives are fundamentals of quantitative genetics. Our purpose was to identify bulls with a bimodal pattern of inheritance in the quest for new discoveries about the inheritance of calf survival. A bimodal pattern of inheritance for calf survival was identified in sons of Holstein bulls. A bimodal pattern of inheritance indicates 2 groups of sons resulting from an allele effect, a grandsire effect, or some other common factor. Different combinations (AA, Aa, aa) of 2 alleles at a locus cause varying phenotypes to be expressed. Bulls that are heterozygous for loci affecting reproductive performance may have a bimodal pattern of inheritance if the difference in effect of the 2 alleles is large. If the bimodal pattern is caused by an allele effect, then molecular markers can be identified for use in marker-assisted selection breeding programs. Data on predicted transmitting ability for perinatal survival for the first parity of 8,678 sons of 599 sires were collected from 1984 through 1997 from the National Association of Animal Breeders calving ease database, which included 7 Midwestern states. Sixteen bulls were identified with a potential bimodal pattern of inheritance because they had 2 distinct groups of sons. The 2 groups of sons were separated by calculating the coefficient of variation for each possible combination of sons; the combination that gave the smallest coefficient of variation difference between the 2 groups was considered the correct distribution of the sons into those groups. Bulls with a bimodal distribution were analyzed to determine the distribution of the grandsons among the maternal grandsires (MGS) of the 2 groups of the bimodal distribution. The bimodal distribution may be a result of heterozygous sires or MGS that are homozygous for low or high survival. If the bimodal distribution is caused by a MGS effect, then marker-assisted selection can still be used by evaluating the MGS instead of the sires.
Journal of Dairy Science 06/2009; 92(5):2166-73. · 2.56 Impact Factor
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ABSTRACT: The objective of this research was to determine the effect of birth weight on perinatal mortality (PM) (alive or dead at 48 h of age) and dystocia (unassisted or assisted). Data were 4528 records of births between 1968 and 1999 from the Iowa State University research dairy farm in Ankeny. The incidence of PM was 7.1%; dystocia was 23.7%. A logistic regression model was used to predict both PM and dystocia. The PM model included effects of year of birth, season (summer or winter), dystocia, parity (first or later), birth weight (kg), ratio of calfs birth weight to dam's weight (%), and gestation length (d). Odds of PM increased by 2.1%/yr. Calves born in the winter have a 36% higher risk of PM than calves born in the summer. Difficult births tend to result in PM 2.7 times more often than unassisted births. First-parity cows have a 2.4 times higher risk of PM than cows in later parities. Probabilities of PM for birth weights of 29, 35, 40, 46, and 52 kg were 2.1, 2.5, 3.4, 5.1, and 9.6%, respectively, when other factors were set at their average value. Similarly, ratios of calf to cow weight of 4.5, 5.7, 6.9, 8.1, and 9.3% yield probabilities of PM at 8.2, 4.2, 3.1, 3.5, and 5.7%, respectively. Finally, gestation lengths of 268, 273, 279, 284, and 290 d yield probabilities of PM of 5.5, 3.9, 3.1, 3.1, and 3.6%, respectively. The dystocia model included effects of year of birth, season, sex of calf, PM, parity, birth weight, and pelvic area (externally measured). Odds for dystocia decreased by 4.7%/yr. Calves born in the winter have a 15% higher risk of dystocia than calves born in the summer. Odds of male calves needing assistance were 25% greater than female calves. If a calf died in the first 48 h, then it is 2.7 times more likely that the calf needed assistance. First-parity cows have a 4.7 times higher risk of dystocia than cows in later parities. Odds of dystocia increase by 13%/kg increase in birth weight. An 11% decrease in odds for dystocia is associated with a one square decimeter (dm2) increase in pelvic area.
Journal of Dairy Science 12/2003; 86(11):3745-55. · 2.56 Impact Factor
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ABSTRACT: The purpose of this article is to describe a program for evaluation of seedstock populations in the swine industry. Differences among seedstock populations for economically important traits must be identified in order for pork producers to efficiently use available genetic resources. National genetic evaluation programs have the potential to identify the important differences among populations and to increase the rate of genetic improvement in a population. Program results provide performance benchmarks that stimulate testing and selection procedures by seedstock suppliers that further increase the rate of genetic improvement. A Terminal Sire Line Genetic Evaluation Program was designed and conducted in the United States by the National Pork Producers Council (Des Moines, IA) to compare seedstock populations for use in crossbreeding systems. High levels of statistical accuracy for program results were established; the ability to detect differences of 0.25 SD per trait, a power of test of 75%, and a 5% significance level were selected. Pure breeds and breeding company sire lines were nominated for the program. Semen was collected from nominated boars and distributed to cooperating commercial producers during eight 1-wk breeding periods. Pigs were produced in 136 commercial herds and transported to testing facilities at 8 to 23 d of age. Nine of the 11 sire lines originally entered in the program completed the sampling requirements for statistical analysis. High levels of statistical accuracy and a large, representative sample of boars with restrictions on genetic relationships ensured that the program results included unbiased, highly accurate sire line data for growth, carcass, meat quality, and eating quality traits of economic importance. This program has shown commercial producers that they have several choices of sire lines for changing their crossbreeding programs in desired trait areas. Commercial product evaluation must be an ongoing process, and this program serves as a model for future testing and evaluation of diverse genetic seedstock populations.
Journal of Animal Science 11/2003; 81(10):2409-18. · 2.10 Impact Factor
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ABSTRACT: Stillbirth, defined as a calf that dies just prior to, during, or within 48 h of parturition, represents a reoccurring concern among breeders of dairy cattle in the United States. About 11% of parturitions of primiparous Holstein cows result in the death of a calf; 5.7% in multiparous cows. Genetic evaluations can be reported as perinatal survival to 48 h to emphasize the positive information about the trait. The purpose of this research was to: 1) estimate genetic parameters by restricted maximum likelihood for perinatal survival rates; 2) characterize the genetic evaluation of sires for the perinatal survival of their progeny and maternal grandsires for the perinatal survival of their daughters progeny; and 3) estimate genetic trends from 1984 to 1994. Data (n = 666,339) were from the National Association of Animal Breeders calving ease database. Over 600 new young sires were available each year. The binomial response variable, 1 = alive, 0 = stillborn within 48 h of parturition was analyzed by using a sire-maternal grandsire linear mixed model. The model included fixed effects for sex of calf, dystocia, and season of birth, and gestation length as a covariate; correlated random effects of sire and maternal grandsire; and uncorrelated random effects of herd-years. Parturitions of primiparous and multiparous cows were analyzed separately. In primiparous cows, heritability estimates were 1.1 and 2.2% for sire of the calf and maternal grandsire, respectively. The genetic correlation between sire and maternal grandsire predicted transmitting ability (PTA) for perinatal survival, was 0.31; simple product moment correlations among sire-MGS PTA were 0.43 and 0.46 for primiparous and multiparous cows, respectively. The PTA for sire of the calf ranged from -2.9 (lower survival) to 2.8% (higher survival). Mean PTA from 1984 to 1994 was quite variable from year to year. Evidence showed a slightly negative, but nonsignificant, genetic trend in perinatal survival (-0.04% per year for sires and -0.02% per year for maternal grandsires). Estimates of genetic parameters and genetic trends for data from multiparous cows are also reported. Correlations among PTA for perinatal survival, milk yield, and calving ease are given.
Journal of Dairy Science 06/2001; 84(5):1246-54. · 2.56 Impact Factor
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ABSTRACT: The objectives for this study were to determine 1) if there was a trend in stillbirths for the U.S. Holstein population, 2) if stillbirths are the same trait in primiparous and multiparous cows, and 3) what was the role of dystocia in stillbirths. A sample of 666,341 births from the MidStates Dairy Records Processing Center and the National Association of Animal Breeders was used to examine the influence of sire, herd, year, season, sex of calf, parity of dam, calving ease, and gestation length on the survival of the calf. Parity was scored as an ordered variable (1, 2, 3+). Calving ease was scored on a scale of 1 (no assistance) to 3+ (needed assistance). An increasing trend in stillbirths was found in primiparous and multiparous cows. The percentage of stillborn calves in primiparous cows increased from 9.5 in 1985 to 13.2 in 1996. Stillbirths in multiparous cows increased from 5.0 to 6.6% from 1985 to 1996. Variation about the trend was greater in primiparous cows than in multiparous cows. Dystocia was a major determinant of stillbirth incidence, but the association was stronger in primiparous cows. Sex of calf had different associations with stillbirth incidence in primiparous and multiparous cows. Gestation length and season of birth also had significant associations with stillbirth incidence. Logistic regression models with fixed and random effects were fit to the data to preserve the binary nature of the stillbirth response. The expected probability of stillbirths for an average herd and sire was 10% for primiparous cows and 5% for multiparous cows. Replacement of stillborn calves is a substantial cost to the dairy industry at more than $125.3 million per year. Because of the increasing incidence of stillbirths, these costs have increased by $75.9 million from 1985 to 1996.
Journal of Dairy Science 03/2001; 84(2):515-23. · 2.56 Impact Factor
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ABSTRACT: Each year about 7% of the Holstein calves born in the United States die within 48 h of birth. The exact cause of death is unknown. The purpose of this article is to examine the complex interactions among factors (e.g., parity, season of birth, dystocia, year) contributing to stillbirth rates. A modified chi-squared automated interaction detection algorithm was used to develop classification trees explaining the most likely sequence of factors that result in a stillborn calf. The data were 666,341 births from the MidStates Dairy Records Processing Center and the National Association of Animal Breeders. Primiparous and multiparous cows clearly differ in the rate of stillbirths, 11.0 and 5.7%, respectively. Dystocia followed parity as the next most important factor within both primiparous and multiparous cows. In primiparous cows, season, year of birth, or gestation length ranked third as an important predictor for dystocia equal to 1, 2, or 3+, respectively. Gestation length ranked third in importance among the factors that affect stillbirth rates for all levels of dystocia in multiparous cows. Among multiparous cows needing assistance (dystocia 3+), stillbirth rates were greatest for shorter gestations less than the average of 280 d, 55.3% for -15 to -12 d, 45.5% for -11 to -9 d, 33.7% for -8 to -5 d, 23.8% for -4 to 13 d, and 35.4% for 14 to 15 d. Gestation length pinpointed the time when stillbirths occurred, as indicated by the increase from 23.8% stillbirth rate among calves born at or above the mean gestation length to 55.3% for those calves born -15 to -12 d below the mean gestation. Further investigation of the relationship between stillbirth rates and gestation length is needed to develop a more complete understanding of the biological processes resulting in the loss of calves at birth.
Journal of Dairy Science 12/2000; 83(11):2657-63. · 2.56 Impact Factor
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ABSTRACT: Estimation of genetic parameters and accuracy of threshold model genetic predictions were investigated. Data were simulated for different population structures by using Monte Carlo techniques. Variance components were estimated by using threshold models and linear sire models applied to untransformed data, logarithmically transformed data, and transformation to Snell scores. Effects of number of categories (2, 5, and 10), incidence of categories (extreme, moderate, and normal), heritability in the underlying scale (.04, .20, and .50), and data structure (unbalanced and balanced) on accuracy of genetic prediction were investigated. The real importance of using a threshold model was to estimate genetic parameters. An expected heritability of .20 was estimated to be .22 and .10 by a threshold model and a linear model, respectively. Accuracy increased significantly with a larger number of categories, a more normal distribution of incidences, increased heritability, and more balanced data. Even threshold models were shown to be more efficient with more than two categories (e.g., binomial). Transformation of scale did not accomplish the purpose intended.
Journal of Animal Science 04/1999; 77(3):582-90. · 2.10 Impact Factor
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ABSTRACT: A data file containing 122,715 lactation records of Holstein cows distributed across 11,374 herd-year-season groups was analyzed to obtain (co)variance estimates for yield, fertility and cow survival. Milk, fat, and protein yields were adjusted to 305 d. Days open was truncated to 305 d, and the number of services was truncated to 9. Survival of a cow during a full lactation (305 d) was recorded as 0 (died) or 1 (alive). Variance components for the six traits were estimated using a multiple-trait animal model and the REML procedure. The model included herd-year-season, parity (three groups), age (three groups nested within parity), sex of calf (1 = male, 2 = female), and dystocia score (1 = no problem,..., 5 = extreme difficulty) as fixed effects and animal and permanent environment as random effects. Heritabilities for milk, fat, and protein yields, days open, number of services and cow survival were 0.2, 0.18, 0.18, 0.04, 0.03, and 0.002, respectively. The corresponding repeatabilities were 0.42, 0.41, 0.41, 0.12, 0.08, and 0.009, respectively. Genetic and phenotypic correlations between yield traits were high and positive, and correlations between yields and reproduction traits were high and antagonistic. Phenotypic correlations between survival and yields were about 0.1, and their genetic counterparts were slightly negative. Thus, management practices seem to keep mortality rates of high producing cows lower even though those cows have lower genetic potential for survival than do the low producers. Fertility traits showed a slightly undesirable (e.g., 0.1 to 0.3) genetic relationship with survival, but phenotypic correlations were essentially 0. For heifers, yields increased significantly with age. For cows in other parities, the significant changes with age were reduced fertility and reduced survival.
Journal of Dairy Science 11/1998; 81(10):2700-9. · 2.56 Impact Factor
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ABSTRACT: Twelve different models for alternative progeny-testing schemes based on genetic and economic gains were compared. The first 10 alternatives were considered to be optimally operating progeny-testing schemes. Alternatives 1 to 5 considered the following combinations of technologies: 1) artificial insemination, 2) artificial insemination with sexed semen, 3) artificial insemination with embryo transfer, 4) artificial insemination and embryo transfer with few bulls as sires, and 5) artificial insemination, embryo transfer, and sexed semen with few bulls, respectively. Alternatives 6 to 12 considered cloning from dams. Alternatives 11 and 12 considered a regular progeny-testing scheme that had selection gains (intensity x accuracy x genetic standard deviation) of 890, 300, 600, and 89 kg, respectively, for the four paths. The sums of the generation intervals of the four paths were 19 yr for the first 8 alternatives and 19.5, 22, 29, and 29.5 yr for alternatives 9 to 12, respectively. Rates of genetic gain in milk yield for alternatives 1 to 5 were 257, 281, 316, 327, and 340 kg/yr, respectively. The rate of gain for other alternatives increased as number of clones increased. The use of three records per clone increased both accuracy and generation interval of a path. Cloning was highly beneficial for progeny-testing schemes with lower intensity and accuracy of selection. The discounted economic gain (break-even cost) per clone was the highest ($84) at current selection levels using sexed semen and three records on clones of the dam. The total cost associated with cloning has to be below $84 for cloning to be an economically viable option.
Journal of Dairy Science 05/1998; 81(4):1136-47. · 2.56 Impact Factor
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ABSTRACT: A method based on discounted income and risk assessment was developed to aid in the selection of dairy sires. The discounted profit generated from milk production of daughters was proposed as the suitable composite selection criterion to combine estimates of predicted transmitting ability (PTA) for yields of milk, fat, and protein and estimates of sire evaluations for dystocia or expected progeny difference. Steps are described to derive discounted profit (defined as expected income) for a sire with known PTA and evaluation for dystocia. The derivation of profit considered costs for semen, dystocia, heifer raising, production and maintenance of the daughter, and income from milk. Variance of income from a sire depended on the reliability of his PTA and evaluation for dystocia. Total variance from a selected set of sires was defined as the risk. A quadratic programming procedure was developed to identify the best set of sires from a given pool of sires that met a desired expected income goal with minimum risk. Combinations of sires with minimum risk for all possible levels of expected income were defined by the expected income variance frontier. The set of sires at the maximum lower boundary for 95% confidence of the expected income variance frontier was defined as the optimum set of sires to be selected; the optimum set maximized the 95% guaranteed expected income. The quadratic programming procedure provided the optimum percentage of cows to be mated to each sire in the selected set.
Journal of Dairy Science 04/1998; 81(3):807-16. · 2.56 Impact Factor
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ABSTRACT: The ability of animal model evaluations to predict the genetic potential of a bull from his sire and maternal grandsire was investigated. Theoretical coefficients were derived for different combinations of progeny records on the bull, sire, and maternal grandsire. Coefficients > 0.50 for sires and > 0.25 for maternal grandsires were associated with bulls with few daughters. Ten animal model evaluations of Holsteins, July 1989 to January 1994, were used to estimate coefficients realized in three populations: 1) all AI bulls (n = 6924), 2) current AI bulls (n = 1344), and 3) elite AI bulls (n = 6116). The PTA were analyzed for milk, fat, and protein yields, and for fat and protein percentages. Birth year of sons nested within the birth year of their sire was included as a random effect with a first-order autoregressive process for the regression model used to estimate the realized coefficients for sires and maternal grandsires. After adjustment for the genetic trend for estimates of sires, the correlation coefficient between predicted merit of sons from 2 consecutive yr ranged from 0.34 to 0.87. The PTA of bulls from first-crop evaluation were accurately predicted from PTA of sire and maternal grandsire for yield and percentage traits.
Journal of Dairy Science 05/1997; 80(5):957-64. · 2.56 Impact Factor
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ABSTRACT: Lactation records of US Holstein cows were analyzed with mixed models to determine the effect of dystocia on 305-d milk, fat, and protein yields, days open, number of services, and cow losses and to estimate the economic loss associated with dystocia. The data were 122,715 records of 71,618 cows from 1980 to 1991. The single-trait animal model included herd-year-season, sex of calf, age of dam, and dystocia score as fixed effects and animal and permanent environment as random effects. The effect of dystocia was significant (P < 0.01) on all traits within and across parities. Over multiple parities, the differences between score 5 (extreme difficulty) versus score 1 (no problem) for milk yield, fat yield, protein yield, days open, number of services, and cow deaths were 703.6 kg, 24.1 kg, 20.8 kg, 33 d, 0.2 services, and 4.1%, respectively. The losses associated with traits were priced and summed to determine the total economic loss associated with dystocia. In addition, calf mortality was considered to be a cost. Across parities, estimates of costs were $0.00, $50.45, $96.48, $159.82, and $379.61 for scores 1 to 5, respectively. Cost of dystocia was relatively higher on a per incidence basis than would be expected from the mean of the population. The total cost associated with dystocia (i. e., within-parity sum of costs associated with dystocia scores weighted by the probability of occurrence) was $28.53 for an average heifer and about $10.00 for an average cow for other parities.
Journal of Dairy Science 05/1997; 80(4):754-61. · 2.56 Impact Factor
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ABSTRACT: Inbreeding depression was estimated for four experimental Tribolium castaneum lines. Each line, containing approximately 7000 animals, was selected for 16 generations either randomly (control), on pupae weight (PWT), on family size (FST) or on an index containing both PWT and FST. The inbreeding trend was 0.9, 0.5, 0.5 and 0.4 % inbreeding per generation in PWT-selected, FST-selected, index-selected, and control line, respectively. The model used to estimate the inbreeding depression included a linear regression on individual inbreeding coefficients, and random additive genetic effects. Using all the performance and pedigree data, estimated inbreeding depressions in the control line were -0.13 (SE = 0.16; #) and -8.50 (SE = 2.66; μg) per 1 % inbreeding for FST and PWT, respectively. Using only performance data of the latest generation in the control line, the estimated inbreeding depressions changed considerably: -0.17 (SE = 0.82) and -37.4 (SE= 11.9) for FST and PWT, respectively. Estimated inbreeding depression for FST in the FST-selected line was - 0.40 (SE = 0.31). Inbreeding depression for PWT in the PWT-selected line was 21.6 (SE = 25.8). This study indicates that estimating inbreeding depression might best be based on the performance data of animals with an equal and sufficiently-large number of ancestral generations known. ZUSAMMENFASSUNG: Wirkung von Datenstruktur und Selektion auf geschätzte Inzuchtdepression in experimentellen Triboleum castaneum Linien Jede der vier experimentellen Linien, aus je etwa 7000 Individuen, wurde durch 16 Generationen selektiert, zufällig die Kontrolle, auf Puppengewicht (PWT), Familiengröße (FST), oder auf einen beide Merkmale kombinierenden Index. Inzucntzuwächse in diesen vier Linien waren 0.4, 0.9, 0.5 und 0.5% je Generation. Das Modell zur Schätzung der Inzuchtdepression beinhaltete eine lineare Regression auf individuelle Inzuchtkoeffizienten und zufällige additive-genetische Wirkungen. Aus allen Daten, Leistung und Pedigree, ergaben sich -0.13 (SE = 0.16; #) und - 8.5 (SE = 2.66; mg) je 1% Inzucht für FST und PWT, Daten der letzten Generation ergaben deutlich andere Werte: -0.17 (SE = 0.82) und -37.4 (SE = 11.9) für FST und PWT. Inzuchtdepressionen für FST bzw. PWT in den jeweils hierfür selektierten Linien waren -0.40 (SE = 0.31) und 21.6 (SE = 25.8). Es wird gefolgert, daß Schätzungen auf Leistungen von hinreichend großer Zahl von Vorfahrengenerationen beruhen sollten.
Journal of Animal Breeding and Genetics 01/1997; 114(1-6):289-97. · 1.46 Impact Factor
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ABSTRACT: Data for American Jersey cattle from 1960 to 1990 were used to study genetic progress achieved by four paths of selection (sires of bulls, dams of bulls, sires of cows, and dams of cows). Possible methods of obtaining optimal genetic gain for the breed were suggested by the analysis. The generation interval by year of birth for parents of AI bulls was greater from 1975 to 1984 than for most recent 5 yr (1983 to 1987) because previously the use of old proven bulls was greater. Sires of bulls tended to have a longer average generation interval (9.3 yr) than the more nearly optimal interval reported in the literature for AI populations (7.0 yr). Selection differentials for the last 5 yr were larger than the average over all years for milk yield, fat yield, protein yield, and fat percentage. More intense selection for sires of bulls gave a larger increase in PTA over time than did other paths of selection. When all paths of selection were combined, estimated annual genetic change for the Jersey breed was greater from 1983 to 1987 than from 1960 to 1987 for milk yield, fat yield, protein yield, and fat percentage. Potential genetic response from the sires and dams that were available to produce sons was greater than the response from parents actually used. Therefore, better sires and dams were available for genetic enhancement of their progeny than those actually used to produce young sires and replacement females.
Journal of Dairy Science 04/1996; 79(3):487-94. · 2.56 Impact Factor
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P J Berger
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ABSTRACT: Dystocia of Holsteins has a major economic impact on the dairy cattle industry. Genetic evaluation of AI sires for calving ease is sponsored by the National Association of Animal Breeders. The AI organizations and dairy records processing centers collect data from herds that have progeny of AI bulls. Genetic predictions of merit for calving ease have been available for Holstein AI bulls in the US since 1978. A threshold model was implemented during 1988. The threshold model adjusts for the effects of herd-year, season, sex of calf, parity, and birth-year group of sire to predict the genetic merit of each sire for calving ease. Pedigree information from sires, sons, and grandsons is also included in the analysis to improve the reliability of genetic predictions for bulls that have pedigree data available. Each sire's genetic prediction for calving ease is reported as the expected percentage of difficult births of primiparous cows. National in scope, genetic predictions for calving ease are used internationally by breeders of dairy cattle to minimize the risk of difficult births of primiparous cows and to increase the use of AI for young cows.
Journal of Dairy Science 05/1994; 77(4):1146-53. · 2.56 Impact Factor
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ABSTRACT: Calving performance records (965,417) from purebred American Angus herds throughout the United States were used to study dystocia and early calf mortality during the period from 1972 to 1985. A sample of 53 (n = 83,467) herds was used to establish reasonable limits on the expected frequency of dystocia and mortality within and among herds that have good reproductive management programs and to verify the frequencies of scores in all other herds (n = 4,130) reporting calving performance information. The data were analyzed by logistic regression models. Dystocia and perinatal mortality, to a lesser extent, were found to be more frequent in heifers than in cows. The odds of unassisted births vs births with major difficulty were 11.58 times greater in cows than in heifers. In heifers, the odds of an unassisted birth increased with age of dam and decreased with birth weight of calf. At a baseline age of 22 mo the odds of an unassisted birth for calves weighing 30 and 40 kg were .13 and .02 times lower than the odds for calves weighing 20 kg. Alternately, at 29 mo, the odds of an unassisted birth for heifers producing a 20-kg calf were 4.53 times greater than at 22 mo. Survival of calves to 24 h in heifers was primarily affected by birth weight. Heifers producing calves at intermediate weights of 29 kg had higher odds of producing live calves at all ages. Considering all heifers calving at 22 to 29 mo relative to 20-kg calves, the odds for survival to 24 h were 3.83 times greater for 29-kg calves and lower by a factor of .52 for 40-kg calves.
Journal of Animal Science 07/1992; 70(6):1775-86. · 2.10 Impact Factor
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ABSTRACT: Calving performance records from the American Angus Herd Improvement Registry files were used to estimate variance components for calving ease and survival to 24 h. Genetic parameters for direct and maternal effects were estimated by using a sire-maternal grandsire model. Data included two independent samples of 19 and 34 herds with complete calving information. Maternal variance for calving ease was much larger than the variance for the direct effect of the sire. Maternal heritability for calving ease was .27 and .20 in the two samples of herds, respectively. Heritabilities for direct effects were .21 and .07. The genetic correlations between direct and maternal effects were -.93 and -.80. There was little genetic variation in survival at birth. Parameter estimates were within the allowable parameter space in the sample of 19 herds. Heritability for the direct effect of the sire on survival was .04. Maternal heritability was .09, and the direct-maternal correlation was -.85.
Journal of Animal Science 11/1991; 69(10):3952-8. · 2.10 Impact Factor
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ABSTRACT: Performance test records collected from 1978 to 1987 from on-farm tests of young Polish Large White boars from 94 herds and reproductive records of Polish Large White sows from 81 nucleus farms were used to estimate the phenotypic, environmental, and genetic trends. There were, after editing, 114,347 boar performance records and 41,080 litter records on sows. Both data sets were analyzed by use of an animal model. Estimated annual phenotypic and environmental trends were relatively large and desirable and were, respectively, .17 +/- .05, .11 +/- .05 (number born alive); .16 +/- .04, .10 +/- .04 (21-d litter size); 1.86 +/- .63, 1.43 +/- .62 (21-d litter weight, kg); 6.80 +/- .60, 6.76 +/- .72 (average daily gain, g/d); -.065 +/- .007, -.058 +/- .023 (backfat thickness, mm); -2.76 +/- .28, -2.75 +/- .29 (days to 110 kg). In contrast, all estimated genetic trends were relatively small and not always favorable. The genetic trends estimated from animal, sire and dam genetic values were, respectively, .01 +/- .01, .02 +/- .01, .01 +/- .01 (number born alive and 21-d litter size); .04 +/- .06, .10 +/- .05, .05 +/- .04 (21-d litter weight, kg); .04 +/- .04, .50 +/- .10, -.43 +/- .05 (average daily gain, g/d), -.009 +/- .001, -.015 +/- .002, -.004 +/- .0004 (backfat thickness, mm); and -.01 +/- .01, -.17 +/- .04, .19 +/- .02 (days to 110 kg). Neither examination of selection practices nor boar utilization provided an explanation for the lack of genetic progress.
Journal of Animal Science 03/1991; 69(2):551-8. · 2.10 Impact Factor
