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1.
Fifty Holstein cattle, either second to fourth generation daughters of cows randomly bred to non-commercial sires originating in the Virginia Tech dairy herd (estimated mean PDM84 = -455 kg, control animals), or daughters of cows bred to commercially available sires (mean PDM84 = +368 kg, selection animals), were randomly assigned to be milked twice or thrice daily starting at parturition. Serial blood samples were collected via jugular cannulae at 30, 90 and 200 d post-partum (DPP) during both the first and second lactations. Blood samples were collected for 3 h prior to and 4 h following thyrotropin releasing hormone (TRH) administration, and were analyzed for growth hormone (GH) and prolactin (PRL) concentrations. Dry matter intake, body weight and milk yield and fat content were used to calculate net energy balance (NEB) of animals at each DPP sampling period. Mean plasma GH concentrations were greater (P less than .01) in selection vs control animals both before and after TRH administration, and decreased (P less than .01) with advancing lactation (30 greater than 90 greater than 200 DPP). However, NEB was not influenced by genetic merit, implying that observed differences in GH concentrations were not due to that trait. Plasma PRL concentrations were not affected by genetic merit or DPP, but were greater (P less than .01) in the second vs first lactation. Neither PRL or GH concentrations were affected by frequency of milking. The results support the contention that increased plasma GH concentrations are associated with selection for increased milk yield.  相似文献   

2.
Blood samples were collected at 20-min intervals for 8 h from 16 Holstein sires, each of which had U.S. Department of Agriculture (USDA) and Northeast AI Sire Comparison (NEAISC) progeny test evaluation data available. Plasma somatotropin (ST) and prolactin (PRL) concentrations were measured, and resulting endocrine profiles were analyzed by PULSAR, a microcomputer-based hormone peak-detection program. The number of ST peaks during the sampling period was negatively related to USDA Predicted Transmitting Ability (PTA) for fat yield, milk, and fat product value (PTA+), and for milk, fat, and protein product value (PRO+), and ST peak length was negatively related to PTA for protein percentage (PTA %P). Interpeak interval for ST was positively related to NEAISC percentage of Protein Deviation (%P). Prolactin peak length was correlated positively with both USDA PTA %P and NEAISC %P, and peak frequency was correlated positively with NEAISC %P. Interpeak interval for PRL was related positively to NEAISC Milk and Fat Deviations. Area under PRL profile was negatively related (P less than .05) to USDA PTA+ and PRO+, and NEAISC Fat Deviation and Dollars. The results indicated that endocrine traits in mature dairy sires are correlated with genetic merit for economically important production traits and suggested that such profile characteristics may be useful in selecting young sires for progeny testing programs.  相似文献   

3.
About 16 600 milk samples of first-calving daughters of bulls (one sample per daughter) were collected. The protein determinations were made with Promilk, IRMA or Prot-o-Mat in different laboratories.In each year there were significant differences in percent of protein between laboratories, but these grew continuously smaller. These differences, like other significant environmental influences were eliminated with statistical corrections prior to estimating the heritabilities and progeny testing.The heritabilities of different traits on the basis of one test day were as follows: milk yield, 0.25; percent fat, 0.28; percent protein, 0.25; protein to fat ratio, 0.17; fat yield, 0.21; protein yield, 0.19, and fat + protein yield, 0.21. On the basis of the h2 estimates, the number of daughters required for a repeatability of 0.7 in progeny testing were 35, 31, 35, 53, 42, 47 and 42, respectively. These numbers are only 20–30% of the numbers required for the same accuracy with a monthly sampling (16 daughters × 10 samples = 160 samples).On the basis of progeny tests, the correlation of milk yield with percent fat was ?0.42, with percent protein ?0.29, with fat yield 0.81, and with protein yield 0.91. The correlation between fat yield and protein yield was 0.84. The genetic correlations calculated from the sire components of covariance and variance were similar to these.  相似文献   

4.
Records on approximately one million calvings were examined for presence of a gene with major effect on the frequency of multiple births. The records were summarized by parity of the cow and registration number of the cow's sire, and an overall age-corrected frequency of multiple births computed for daughters of each sire.The distribution of 876 progeny groups with more than 100 calvings showed no sign of discontinuity, and the same was true for 120 progeny groups with more than 1000 calvings. The daughters of one particular bull had 9.95% multiple births in about 6000 calvings. This bull left more than 80 sons which were used for artificial insemination. The sons ranged from less than one to more than 10% multiple births among their daughters, but no segregation was observed.Heritability estimates (on the binomial scale) ranged from 0.006 in parity 1 to about 0.04 in parities 3–5.Genetic correlations between incidence of multiple births in first and subsequent parities were estimated at 0.52–0.64, while those among parities 2–5 were from 0.70 to 0.84.  相似文献   

5.
为探究通过抗病选育的免疫大师公牛女儿的疾病抗性情况,试验收集上海地区3个同时使用免疫大师公牛和普通公牛冻精牧场的5 112条个体疾病记录,采用Logistic回归法分析了犊牛出生季节、成母牛年龄、父亲类型(免疫大师和普通公牛)对部分常见奶牛疾病发病风险的影响。结果表明,出生季节和年龄分别对犊牛和成母牛各类疾病的发病风险有显著影响(P<0.05);父亲类型对乳房炎的发病风险在部分群体中有显著影响(P<0.05)。与普通公牛的女儿相比,免疫大师公牛女儿乳房炎发病风险更低。综合本研究结果,免疫大师公牛的抗病能力选育技术有效,其在中国奶牛群体的后代表现出更好的疾病抗性,尤其是提高了奶牛乳房炎抗性,为利用育种手段提高奶牛群体的抗病能力和养殖效益提供了可行的技术路线。  相似文献   

6.
The influence of prenatal maternal and reciprocal cross effects on growth and growth hormone (GH) and prolactin (PRL) secretion in calves was investigated through the use of embryo transfer. Eight full-sib pairs of Angus-Red Poll reciprocal cross calves whose gestational development occurred in cows of either the Angus or Red Poll breeds were used in the study. The calves were nonsurgically transferred to recipient cows of each breed 8 d post-estrus. Three to five days after birth the calves were removed from their gestational dams and thereafter raised on milk replacer. The male calves were castrated at birth. At an average age of 61 d, blood samples were collected at 15-min intervals for an 8-h period via indwelling jugular cannula. The concentrations of GH and PRL were quantitated by radioimmunoassay. The temporal concentrations were analyzed and estimates of the secretory patterns determined. Sex influenced mean and basal GH concentrations and amplitude of GH peaks (P less than .1). Difference between reciprocal crosses (Angus X Red Poll vs Red Poll X Angus) was significant for basal PRL concentration. Birth weight and 150-d weight were significantly affected by recipient breed and reciprocal cross was significant for 150-d weight, birth to 150-d average daily gain, and mean concentration and number of GH peaks. The interaction of recipient breed and sex was significant for 150-d weight and mean GH concentration. These data add secretion of GH and PRL to those traits influenced by prenatal maternal environment.  相似文献   

7.
Plasma concentrations of prolactin (PRL), growth hormone (GH), insulin, glucagon, glucose, urea and free fatty acids (FFA) were measured in Holstein calves, yearlings, bred heifers and primiparous cows, either sired by bulls with high predicted differences (PD) for milk (selection group) or by bulls from an unselected random bred control population (control group; n = 6). Serial blood samples were collected before and after feeding for an 8-h period from 0900 to 1700 h. All animals were fed a complete feed at 1100 h and administered insulin (.6 IU/100 kg body weight) at 1400 h. Mean plasma PRL was greater in control animals after feeding and insulin administration, while GH was greater overall in selection cattle. Insulin remained elevated longer in selection animals after exogenous administration, and plasma glucagon was increased in the control group. While plasma glucose and urea were unaffected by genetic group, plasma FFA were elevated in selection group calves and primiparous cows compared with the control group. All hormones and metabolites differed among the pre- and post-feeding and insulin administration periods and also with age. Mean PRL and GH increased after feeding, while glucagon decreased after exogenous insulin. Plasma FFA declined after feeding, while urea and glucose were similar before and after feeding. Mean PRL increased and glucagon decreased with advancing age and plasma GH and insulin showed inverse relationships at different ages. Plasma FFA changes closely followed GH changes with age, while plasma glucose more closely followed insulin changes with age. Results indicate that all hormones measured and FFA responded to genetic selection for milk, and increases in GH are uniformly associated with increased genetic potential for milk yield.  相似文献   

8.
SNPs是目前遗传标记研究的一大热点,牛催乳素(prolactin,PRL)基因是与产奶性状相关的重要候选基因。PRL基因上的SNPs与牛的产奶量、乳脂量、乳蛋白量、乳脂率、乳蛋白率等性状存在某种关联,可用于牛的标记辅助选择(MAS)育种。笔者从PRL的结构与功能、基因的定位及作用机制、PRL上的SNPs与产奶性状关系的研究等几个方面进行了综述。  相似文献   

9.
研究利用武汉市58头公牛的971头女儿2006—2007年间的体型性状鉴定记录及2001—2007年间的生产性能测定记录,配合动物模型,采用REML方法进行参数估计,探讨了乳房性状、体型总分与产奶性状之间的关系。结果表明:乳房性状与产奶性状之间的表型相关较小。后乳房宽度与产奶性状之间存在强的遗传正相关(0.44~0.89)。后乳房高度与305 d产奶量(0.27)、305 d乳脂量(0.16)存在遗传正相关,而与305 d乳蛋白量(-0.32)存在遗传负相关。前乳房附着与产奶性状基本不存在相关。悬韧带与305 d产奶量存在遗传正相关(0.79)。乳房深度与305 d产奶量存在遗传负相关(-0.20)。体型总分与305 d产奶量、305 d乳脂量、305 d乳蛋白量存在较强的遗传正相关,故加强乳房性状和体型总分的选择对提高奶牛的生产性能有益。  相似文献   

10.
11.
Endogenous opioid peptides mediate the effect of suckling on LH and PRL in the domestic pig. However, the role of opioids in modulating GH during lactation in swine is not known. Primiparous sows that had been immunized against GRF(1-29) conjugated to human serum albumin (GRF-HSA, n = 5) or HSA (n = 4) were used to determine changes in GH after naloxone. Treatments were imposed in all sows on day 21 of lactation when antibody titers were 9100 +/- 1629. All sows received (i.v.) naloxone (0.25 mg/kg) or saline (0.0125 ml/kg) at 15 min intervals for 165 min. Active immunization against GRF-HSA during lactation decreased (P less than 0.05) mean concentration (4.8 +/- 0.2 vs 2.6 +/- 0.1 ng/ml) and frequency (1.5 +/- 0.3 vs 0.4 +/- 0.2 peaks/4 hr). Concentrations of LH and PRL were similar in GRF-HSA and HSA immunized sows. Naloxone suppressed (P less than 0.05) GH in all sows. In HSA sows, naloxone abolished episodic release of GH and decreased average, but not basal, concentrations of GH. In sows immunized against GRF-HSA, naloxone decreased (P less than 0.05) average and basal GH but failed to decrease frequency of GH release. Naloxone failed to alter frequency of LH release. Concentrations of PRL decreased (P less than 0.05) after naloxone in all sows. In conclusion, immunization against GRF-HSA blocked most of the effect of lactation on GH. Blocking opioid receptors with naloxone decreased GH and PRL in all sows. In contrast to previous findings naloxone had no effect on LH. Opioids alter concentrations of GH through a GRF dependent and GRF independent pathway.  相似文献   

12.
Rate of genetic improvement for milk yield has been increasing in recent years. Cows born in 1986 were about 135 kg superior in breeding value for milk yield to those born in 1985. Over 2.2 million cows contribute new data to genetic evaluations for production traits annually. These evaluations are computed with an animal model that provides best linear unbiased predictions of transmitting abilities for milk, fat, and protein yields and fat and protein percentages. The model includes effects of management group, permanent environment, herd-sire interaction, and animal genetic merit. Unknown-parent groups represent the genetic merit of base populations defined by birth year and sex. Type appraisal data are collected by breed associations and are evaluated with a sire model. Holstein cow evaluations are computed using scores from all appraisals and a multitrait model; evaluations for other breeds are computed using all appraisal scores, a repeatability model, and a single-trait system. Dystocia data are collected by individual AI organizations and dairy records processing centers; they are analyzed by a categorical-trait sire model at Iowa State University with support from the National Association of Animal Breeders. The AI organizations have been extremely important in increasing rate of genetic progress by increasing numbers of young bulls sampled, increasing selection intensity of bull dams through multiple ovulation and embryo transfer, and shortening generation interval through the use of younger cows and some virgin heifers as bull dams. (ABSTRACT TRUNCATED AT 250 WORDS)  相似文献   

13.
The concentrations of lactogenic hormones (prolactin--PRL, growth hormone--GH, insulin-like growth factor I--IGF-I) and steroid hormones (progesterone--PG, estradiol--E2) were determined by RIA in the blood plasma of 8 lactating ewes (3 with twins) and compared with that of 3 non-lactating cycling ewes of the same age. All animals live in a flock of 30 Awassi sheep under identical conditions in Syria. The lactation period (192 +/- 25 days) is divided to a suckling period (until day 63) and a hand milking period (2 fold daily) with different levels of milk production (near 2 litres/day in the former, decreasing from 0.8 to 0.1 litre/day in the latter). During the suckling period the concentrations of steroid hormones in the blood plasma are lower, these of lactogenic hormones are higher of lactating than of non-lactating ewes. During the milking period only the concentrations of E2, PRL and IGF-I in the blood plasma of lactating animals are lower than in non-lactating ewes. But, during this time more and more seasonal influences (increasing day length and temperature) overwhelm the influence of lactation on the hormone secretion. Suckling of twins is accompanied with higher levels of E2, PRL and IGF-I in the blood plasma of their mothers than suckling of single lambs. During the lactation period a strong correlation exists between milk yield and the level of GH (r = 0.85) and IGF-I (r = 0.71), a smaller correlations to the level of E2 (r = 0.49) in the blood plasma of the lactating ewes. During the suckling period the milk yield is influenced positively by PRL (r = 0.77) and GH (r = 0.68), but negatively by PG (r = -0.76). During the milking period the milk yield is determined extensively by the level of IGF-I (r = 0.89) in the blood plasma. The concentrations of the analyzed hormones in the blood plasma correlate always positively together.  相似文献   

14.
Angus bulls (n = 24) were selected for either high or low milk EPD, but with similar growth EPD and mated within location (n = 6) at random to Angus cows. Daughters from these matings were bred to calve first at 2 yr of age to common reference sires across locations. Lactation records for 192 daughters were used to evaluate 12-h milk yield, percentage of milk fat and protein, and weaning weight of offspring. Milk production was measured four times during the lactation at regular intervals within location. Dams were separated from their calves the night before milking and milked with a portable milking machine the next morning to estimate 12-h milk yield. A sample of the milk was collected from each cow and analyzed for percentages of milk fat and protein. Data were analyzed as repeated records of the dam. Fixed effects were location, genetic line of sire, gender of calf within location, and milking period, with postpartum interval used as a covariate. Fixed effects and the random effects of sire of dam nested within line, sire of calf, and year were estimated by REML. Genetic line was an important source of variation for milk yield (P < 0.01) and percentage of milk fat (P = 0.03) but not for percentage of milk protein (P = 0.49). Location was significant for all three milk variables (P < 0.01), but the interactions between line and location were not significant. Gender of calf was significant for milk yield (P = 0.04) but not for percentage of milk fat or protein. Line (P = 0.02), location (P = 0.01), calf gender (P = 0.01), and age at weaning (P = 0.01) were significant sources of variation for weaning weight but the interaction of line and location was not (P = 0.69). The correlation coefficient between the sire's milk EPD and 12-h milk yield was significantly different from zero (r = 0.56). The difference between the least squares means for high and low lines for milk yield was 0.66 kg/12 h and the difference was 15.3 kg for weaning weight. The results indicate that there was not evidence for a genotype by environment interaction in milk production for daughters from divergent sires selected for high or low milk EPD.  相似文献   

15.
Angus bulls (n = 16) selected for either high- or low-milk EPD but similar growth EPD were mated within location at random to Angus cows. Daughters were bred to calve at 2 yr of age and annually until 6 yr of age. Milk yield was measured four times during lactation with a portable milking machine to estimate 12-h milk yield. Milk was collected for analysis of the percentage of fat and protein. A mixed model procedure was used to analyze the weaning weight, milk yield, and milk component data. The model for weaning weight included location, genetic line of sire, gender of calf, and age of dam. Calf age at weaning was used as a covariate. The model for the milk yield and components included location, genetic line of sire, gender of calf, period, and age of dam. Random effects for all models included sire of dam nested within line, sire of calf, and year. Genetic line was a significant source of variation for milk yield (P < 0.01) and weaning weight (P < 0.01) but not for percentage of fat or protein. Location was significant for milk yield (P < 0.01), fat (P < 0.01), protein (P < 0.01), and weaning weight (P < 0.01). The interaction of line with location was not significant except for percentage of protein (P < 0.01). Age of dam was significant for milk yield (P < 0.01), weaning weight (P < 0.01), and percentage of protein (P < 0.01), but not for percentage of fat (P = 0.29). Line difference for mean weaning weight was 18.1 kg, which is similar to the difference between lines for milk EPD (19 kg). Weaning weights from high-milk EPD line daughters were heavier (P < 0.01) than low-milk EPD line daughters at each age of dam evaluated. Cows nursed by males had higher milk yields (4.33 kg/12 h) than cows nursed by heifers (4.0 kg/12 h). The difference in yields for gender was significant for 2-, 3-, and 5-yr-old cows, but not for 4- (P < 0.052) and 6-yr old (P < 0.15) cows. Correlation coefficients between weaning weight and weaning EPD, milk EPD, and total maternal EPD were greater than zero (P < 0.01) (0.76, 0.65, and 0.89, respectively). Daughters of sires with high-milk EPD produced more milk at each age and weaned heavier calves than daughters of sires with low-milk EPD. These results confirm the value of milk EPD for improvement of weaning weights in beef cattle and also validate age of dam effects on milk yield and the associated effects on weaning weights.  相似文献   

16.
Six Hereford bulls from a line selected with an index of body weight and muscling score were compared with six bulls from a control line to determine if increased growth in the selected line was associated with changes in plasma levels of growth hormone (GH), prolactin (PRL) and (or) thyrotropin (TSH). The predictive value of sire hormone data for growth rate of progeny was also evaluated. Bulls of the index line were heavier at birth (P less than .02) and had higher postweaning daily gains (P less than .01) than bulls of the control line. Blood samples were collected from bulls (ages 2 and 3 yr) at 15-min intervals for 8 h. Overall plasma GH concentrations were higher (P less than .03) in the index bulls than those in the control line. All characteristics of PRL secretion examined tended to be higher in the index bulls, but only mean overall and baseline differences approached significance (P less than .10). There were no significant differences in measures of TSH secretion between lines. Sire differences in hormone characteristics accounted for significant amounts of variation in birth weight and postweaning gain of progeny, but not in gain to weaning. Also, when considered jointly, hormone characteristics generally added significantly to predictions that used sire growth rate alone. The results suggest that serum hormone characteristics in parents may provide additional predictors of growth rates of progeny.  相似文献   

17.
A cytogenetical study was made of 9 descendants of a Charolais bull, heterozygous for a presumptive 1/29 translocation, three of the dams of some of these descendants, and three unrelated bulls which were mated to some of the descendants. Photographic karyotypes of Giemsa stained and C-banded chromosomes were prepared for each animal. The dams of the progeny showed no chromosomal abnormalities indicating that translocations were inherited from the sire. Three daughters of the Charolais bull and two of his grand daughters were heterozygous for the translocation, with a modal chromosomal number of 59, while the remaining three daughters and their progeny possessed normal karyotypes. No phenotypic abnormalities were observed in the animals examined. Measurements of the arms of the chromosomes suggested that the translocation chromosome (a large submetacentric) contained chromosomes 1 and 29. The submetacentric translocation chromosome had a single C-band, the two submetacentric X chromosomes showed no C-bands and each acrocentric autosome had a single C-band. All cattle heterozygous for the translocation showed normal fertility.  相似文献   

18.
This study presents genetic parameters for conformation traits and their genetic and phenotypic correlations with milk production traits and somatic cell score (SCS) in three Swiss dairy cattle breeds. Data on first lactations from Holstein (67 839), Brown Swiss (173 372) and Red & White breeds (53 784) were available. Analysed conformation traits were stature and heart girth (both in cm), and linear scores of body depth, rump width, dairy character or muscularity, and body condition score (only in Holstein). A sire model, with relationships among sires, was used for all breeds and traits and variance components were estimated using AS‐REML. Heritabilities for stature were high (0.6–0.8), and for the linear type traits ranged from 0.3 to 0.5, for all breeds. Genetic correlations with production traits (milk, fat and protein yield) and SCS differed between the dairy breeds. Most markedly, stronger correlations were found between SCS and some conformation traits in Brown Swiss and Red & White, indicating that a focus on a larger and more ‘dairy’ type in these breeds would lead to increased SCS. Another marked difference was that rump width correlated positively with milk yield traits in Holstein and Red & White, but negative in Brown Swiss. Results indicate that conformation traits generally can be used as predictors for various purposes in dairy cattle breeding, but may require specific adaptation for each breed.  相似文献   

19.
The objective of this study was to identify single-nucleotide polymorphisms using a bovine chromosome 14 high-density SNP panel after accounting for the effect of DGAT1. Linkage disequilibrium information and sire heterozygosity were used to select markers for linkage analysis on bovine chromosome 14 for milk production traits in 321 Holstein animals. Results show putative milk peaks at 42 and 61 cM, both at p<0.10, a fat yield peak at 42 and 63 cM, both at p<0.05; a protein yield peak at 42 (p<0.01) and 84 cM (p<0.05); fat per cent peaks at 3 (p<0.01) and 29 cM (p<0.05), and a protein per cent peak at 4 cM (p<0.05). Once quantitative trait loci positions were established, allele substitution effects for all markers were evaluated using the same statistical model. Overlaying information between quantitative trait loci (QTL) and allele effect analysis enabled the identification (p<0.01) of 20 SNPs under the milk yield QTL, 2 under both of the fat yield peaks, 8 and 9 under the protein yield peaks, 2 and 6 for the fat per cent peaks and 5 for the protein per cent peak. One SNP in particular, ss61514555:A>C, showed association with 3 of the 5 traits: milk (p=1.59E-04), fat (p=6.88E-05) and protein yields (p=5.76E-05). Overall, combining information from linkage disequilibrium, sire heterozygosity and genetic knowledge of traits enabled the characterization of additional markers with significant associations with milk production traits.  相似文献   

20.
The physiological bases for differences in milk production between breeds of cattle selected for beef or milk production are largely unknown. This study was conducted to determine concentrations of prolactin (PRL) and growth hormone (GH) in serum before and after teat stimulation in primiparous Hereford and Holstein heifers. Blood was collected from 6 beef and 9 dairy heifers at 115, 175, 230 and 250 d of gestation. Sampling times were -15, -10, -5, 0, 2, 4, 6, 8, 10, 12, 15, 20, 25 and 30 min relative to test stimulation. Mean areas under PRL response curves for beef and dairy heifers at 115, 175, 230 and 250 d of gestation were 427, 447, 556, 273 and 243, 189, 167, 343 ng/ml/30 min, respectively. Calculations of area (but not basal levels) excluded instances when no PRL response to test stimulation was obtained (22%). Neither stage of gestation nor breed affected PRL response. Basal PRL did not differ between breeds and was 1.8, 2.6, 2.4 and 9.2 ng/ml at 115, 175, 230 and 250 d of gestation. GH did not differ between breeds and was 6.6, 6.2, 5.5 and 7.4 ng/ml at 115, 175, 230 and 250 d. No difference between breeds was apparent with regard to PRL or GH secretion during first gestation.  相似文献   

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