A description of the findings from bull breeding soundness evaluations and their association with pregnancy outcomes in a study of western Canadian beef herds

The primary objectives were to describe beef bulls considered for use and those reported as used in 205 beef herds in western Canada, and to determine whether factors typically assessed during breeding soundness evaluations were associated with reproductive success. More than 100 veterinary clinics reported 2990 breeding soundness evaluations for bulls considered for natural service in client's herds. Differences among clinics explained 5.2% of the variation in scrotal circumference (SC) and 6.9% of the variation in percentage of morphologically normal sperm of all bulls considered for use (after accounting for age, breed, body condition, significant physical abnormalities, month, and year). The percentage of morphologically normal sperm was lower in bulls with an SC ≤34 versus >34 cm (P < 0.006). This study included data from 1384 and 1370 bulls used for breeding in 2001 and 2002, respectively. Most (80%) of the bulls used were Simmental, Black Angus, Charolais, Red Angus, or Hereford, and 80% were ≤4 y of age. Before the breeding season, a veterinarian evaluated 89.5% of all bulls used in these herds. Of the bulls subjected to a breeding soundness evaluation and subsequently used, 93.1% were satisfactory. In 2001 and 2002, injuries were reported in 2.5 and 2.1% of bulls and in 16.6 and 11.4% of herds, and necrobacillosis of the foot was reported in 2.5 and 1.2% of bulls and 11.2 and 6.5% of the herds. The average number of cows exposed to each bull was 26 (both years). Cows exposed to bulls with a smaller SC were less likely to be diagnosed pregnant (P < 0.047) and had a longer median interval from first bull exposure to calving (P < 0.016) than bulls with a larger SC. In conclusion, our findings emphasized the value of breeding soundness evaluations, including measurements of SC, in fertility management of beef cattle.     

唐家河自然保护区扭角羚的兽群结构及数量分布

四川唐家河自然保护区有扭角羚480-520只。喜聚群活动,其兽群可分为家群、族群和聚集群。并随季节变化而有分群和合群现象。此外还有游离于群体之外的独羚,多为成年雄体。其兽群幼仔占17.52±6.48,亚成体占17.25±9.16%,成体占65.23±12.59%,聚集群中成体雄雌比为1：8,雌体占多数。     

Genetic correlations between reproduction of crossbred ewes and the growth and carcass performance of their progeny

Genetic correlations were estimated between first cross ewe reproduction traits and growth and carcass traits of their second cross lamb progeny. The 2460 crossbred ewes were progeny of 74 maternal breed sires and mainly Merino dams. The ewes had 3 joinings to terminal sire rams with 6824 joining records resulting in 9002 lambs born and 7176 lambs slaughtered. The ewe reproduction traits included: fertility, litter size, ewe rearing ability or lamb survival, number of lambs born (NLBj) and weaned (NLWj) per ewe joined, with traits reflecting ewe productivity being total litter weight weaned (TWWj) per ewe joined and the component trait average lamb weaning weight in the litter (AWW). The lamb growth traits included weight of the lambs at birth (BWT), weaning (WWT) and post weaning (PWWT) as well as growth rate pre and post weaning. The lamb carcass traits included hot carcass weight (HCWT), dressing yield (DRESS%), fat depth (FatGR, FatC), eye muscle depth (EMD) and area (EMA) and meat quality traits (colour and pH). The genetic correlations were estimated by bivariate mixed models using ASReml. The genetic correlations between the composite reproduction traits of the ewes and the post-weaning growth rate of their lambs were high (0.67 for NLBj and 0.65 for NLWj). There were moderate positive correlations between NLWj and WWT (0.36), PWWT (0.49) and pre weaning growth (0.36) and NLBj with PWWT (0.31). BWT was negatively correlated with litter size (−0.34) and positively with ewe rearing ability (0.38). Most of the other genetic correlations were smaller than their standard errors which generally ranged from 0.2 to 0.3. The genetic correlations for HCWT with all the ewe reproduction traits were positive and moderate (0.29–0.53) and high with the ewe productivity traits that included weight of lambs (TWWj 0.98 and AWW 0.96). The genetic correlations among the other traits were variable and had high standard errors, generally ranging from 0.1 to 0.5. However there were generally negative and unfavourable genetic correlations between the reproduction traits and DRESS% and meat colour L*, whereas those with carcass fat (FatC and FatGR) were generally negative and favourable.     

Gilt development and mating in commercial swine herds with varying reproductive performance

The primary objectives were to improve standard operating procedures for gilt development and mating, based on a comparison of practices among commercial Japanese herds with varying reproductive performance. Questionnaires were sent to 115 herds; the 96 herds (83.5%) responding were classified, on the basis of the upper and lower 25th percentiles of pigs weaned per mated female per year, into high-, intermediate- or low-performing herds. During gilt development, high-performing herds switched to a gilt developer diet at an earlier age than low-performing herds (P < 0.05). More high-performing herds performed first insemination “immediately,” with second insemination “6 to 12 h” after first estrus detection than low-performing herds (P < 0.05). However, there were no differences (P > 0.05) among productivity groups with regard to the use of nutritional flushing or percentage of AI used. In multilevel analyses (17,582 service records), gilts in herds using direct boar contact were 13.73 d younger at first mating than those in the herds using indirect boar contact (P < 0.05), but age was not related to feeding practices or the number of days of boar contact per week (P > 0.05). First-serviced gilts in the herds that performed first insemination “immediately” after first estrus detection had an 8.3 to 8.4% higher farrowing rate (FR) than those in herds that performed first insemination at “6 to 12 h” and “24 h” (P < 0.01). Reserviced gilts in the herds with first insemination “immediately” after first estrus detection had 7.5% higher FR than those in herds with first insemination at “6 to 12 h” (P < 0.05). Meanwhile, first-serviced and reserviced gilts in herds that restricted feed after insemination had 0.23 and 0.17 more pigs born alive (PBA) than gilts in the herds that did not restrict feed (P < 0.05). However, PBA was not related to time of insemination (P > 0.05). In conclusion, to improve gilt reproductive performance, we recommend stimulating gilt estrus by using direct boar contact, performing first insemination “immediately” after first estrus detection, and restricting feed intake after insemination.     

Genetic evaluation with uncertain parentage: a comparison of methods

Summary The most common method for genetic evaluation when parents are unknown is best linear unbiased prediction with genetic groups (BLUP-G). With this method unknown parents are assumed to be unrelated to any other animals in the population. This assumption is unrealistic in most situations. If a finite number of potential parents can be identified and the probabilities of being the true parent can be assigned to these, genetic evaluation can be obtained given the uncertainty of parentage without introducing genetic groups into the model. The correct numerator relationship matrix with uncertain parentage () is derived. Rules are given to efficiently compute and ^-1. Computer simulation was used to compare BLUP-G with BLUP using . The simulated population consisted of ten sires and 200 dams per breeding season. The dams were always known; the sires were unknown for 10% or 30% of the males and 30% of the females. The number of potential sires was three (BLUP-₁ or ten (BLUP-₂), including the true sire in both cases. Equal probabilities were assigned to each potential sire. The increase in response with BLUP-₁ and BLUP-₂ relative to BLUP-G ranged from 4% to 8% in the fifth breeding season. Selection with BLUP-₁ or BLUP-₂ resulted in higher inbreeding, 17% and 12%, respectively, than with BLUP-G. Estimates of response to selection were unbiased with BLUP-₁ and BLUP-₂, but not unbiased with BLUP-G. Mean square error of estimated genetic means and mean prediction error variance were higher with BLUP-G than with blup-₁ or BLUP-₂.     

北京市属医院手术分级管理现状调查与分析

目的 了解北京市医管局所属的22家市属医院现有手术分级管理工作开展现状,探讨其在运行中出现的问题,并提出改进意见。方法 采用问卷普查的方法,发放《市属医院手术分级管理现况调查表》至22家市属医院进行调研,通过被调查机构的相关负责人员填写收集数据。结果 22家市属医院除3家因专业特色未开展手术分级管理,其余19家医院均已进行,但手术分级目录、医师授权、动态管理工作进展各异。各家医院在制定手术分级目录时参照的标准不统一;84.2%的医院是按照手术级别对医师进行授权,参考指标为职称、手术级别和手术技能;14家医院已对手术分级进行信息化管理。结论 统一手术分级目录、扩充医师授权体系、完善分级管理信息系统是加强手术分级管理进一步落实的重要举措。     

分级护理服务内容实施现况调查研究

目的 调查临床实践中分级护理服务内容的执行状况,探讨分级护理制度服务内容存在的实质性问题。方法 采用分层抽样的方法,抽取广州某三级甲等医院8个普通成人病区的患者和护士作为调查对象,采用观察法记录患者得到的分级护理服务及护士对分级护理内容的执行情况。结果 8个病区一、二级护理患者构成比具有显著性差异（P=0.000);各病区一、二级护理患者日班所得分级护理时间平均为12.32分钟、4.81分钟,分别占总护理时间的50%和39%。各病区间执行分级护理时间无显著性差异（P=0.344）,各班次间执行分级护理时间有显著性差异（P=0.000）,其中责任班护士执行分级护理时间显著高于其他班次。临床实践中,护士对分级护理内容的执行项目：一、二、三级护理分别为21项、15项、11项。结论 原分级护理制度服务内容标准已不能完全适应临床护理实践,需要顺应新的医学模式和临床护理的发展,对其进行补充和完善。     

Deterministic genetic models in varying environments

Summary J. B. S. Haldane and S. D. Jayakar [J. Genet. 58, 237–242 (1963)] argue that, when genotype fitnesses fluctuate from generation to generation, if the geometric and arithmetic means of the fitnesses satisfy certain inequalities, there will be a protected polymorphism. Their assertions are biologically interesting, but their mathematical analysis is not sufficient to support their conclusions. We present a firm mathematical analysis and several examples that demonstrate the need for stronger hypotheses and, in some cases, weaker conclusions.Journal Paper No. J-10136 of the Iowa Agriculture and Home Economics Experiment Station, Ames, Iowa. Project 1669. Partial support by National Institutes of Health, Grant GM 13827     

Genetic evaluation with autosomal and X-chromosomal inheritance

Summary At present, genetic evaluation in livestock using best linear unbiased prediction (BLUP) assumes autosomal inheritance. There is evidence, however, of X-chromosomal inheritance for some traits of economic importance. BLUP can accommodate models that include X-chromosomal in addition to autosomal inheritance. To obtain BLUP with autosomal and X-chromosomal additive inheritance for a population in which allelic frequency is equal in the sexes, and that is in gametic equilibrium, we write y _i = x_i + a_i + s_i + e_i, where y _i is the phenotypic value for individual i, x_i, is a vector of constants relating y _i to fixed effects, is a vector of fixed effects, a _i is the additive genetic effect for autosomal loci, S _i is the additive genetic effect for X-chromosomal loci, and e _i is random error. The covariance matrix of a _i's is A _A ² , where A is the matrix of twice the co-ancestries between relatives for autosomal loci, and _A ² is the variance of additive genetic effects for autosomal loci. The covariance matrix of s _i's is S _F ² , where S is a matrix of functions of co-ancestries between relatives for X-chromosomal loci and _F ² is the variance of additive genetic effects for X-chromosomal loci for noninbred females. Given the covariance matrices of random effects a _i, s_i, and e _i, BLUPs of autosomal and of X-chromosomal additive effects can be obtained using mixed model equations. Recursive rules to construct S and an efficient algorithm to compute its inverse are given.Dedicated to the memory of Dr. C. R. Henderson, whose encouraging comments stimulated the research in this paper. Supported in part by the Illinois Agricultural Experiment Station, Hatch Project 35-0367, Estimation of Genetic Parameters.     

Gender and slaughter weight effects on carcass quality traits of suckling lambs from four different genotypes

The effects of gender and slaughter weight on carcass quality traits were studied in 114 suckling lambs from four genotypes (Suffolk Down, Merino Precoz Aleman, Suffolk Down × Corriedale and Suffolk Down × Merino Precoz Aleman) raised to either 10 or 15 kg live weight. The characteristics of hot carcass weight, commercial dressing percent and real dressing percent (based on empty body weight), ribeye muscle area, and back fat depth were increased by higher slaughter weight; hot carcass weight, ribeye muscle area and back fat depth were higher in male suckling lambs. Different tissue components (bone, residues) varied according to slaughter weight. The commercial yield of carcass cuts and the anatomical proportions of shoulder and leg components were affected by both genotype and slaughter weight. None of the genotypes showed clearly superior carcass traits.