塞北兔生长发育及生长曲线的拟合

采用Logistic非线性动物生长模型拟合塞北兔初生到6月龄的平均体重,进行生长曲线分析．结果表明：①根据Logistic生长曲线方程原理,确定了塞北兔生长曲线方程参数a=24．2593,b=0．9297,并对方程进行了拟合,建立了塞北兔生长曲线方程y^^=6596．5589／（1＋24．259 3e^-0.9297x）（P〈0．05）;②Logistic方程能很好的拟合塞北兔的生长过程,拟合度均在0．95以上,生长的拐点时间为3．43月龄,拐点体重为3298．28g,极限体重参数6596．5589g。     

Selection of locations of knots for linear splines in random regression test‐day models

Using spline functions (segmented polynomials) in regression models requires the knowledge of the location of the knots. Knots are the points at which independent linear segments are connected. Optimal positions of knots for linear splines of different orders were determined in this study for different scenarios, using existing estimates of covariance functions and an optimization algorithm. The traits considered were test‐day milk, fat and protein yields, and somatic cell score (SCS) in the first three lactations of Canadian Holsteins. Two ranges of days in milk (from 5 to 305 and from 5 to 365) were taken into account. In addition, four different populations of Holstein cows, from Australia, Canada, Italy and New Zealand, were examined with respect to first lactation (305 days) milk only. The estimates of genetic and permanent environmental covariance functions were based on single‐ and multiple‐trait test‐day models, with Legendre polynomials of order 4 as random regressions. A differential evolution algorithm was applied to find the best location of knots for splines of orders 4 to 7 and the criterion for optimization was the goodness‐of‐fit of the spline covariance function. Results indicated that the optimal position of knots for linear splines differed between genetic and permanent environmental effects, as well as between traits and lactations. Different populations also exhibited different patterns of optimal knot locations. With linear splines, different positions of knots should therefore be used for different effects and traits in random regression test‐day models when analysing milk production traits.     

Obituaries

Uittreksel

Die groeifunksies benodig vir die simulasie van produksie van ‘n Themeda triandra‐grasveld met behulp van die PUTU 11 simulasiemodel is ontwikkel. Vir die ontwikkeling van die model is die veldproduksiedata van die 1980/81 groeiseisoen gebruik waarna dit suksesvol, vir drie groeiseisoene met uiteenlopende klimaatstoestande, getoets is. In die model is koolhidraatverdeling tussen verskillende plantdele gesimuleer deur van verskillende funksies vir elke groeistadium gebruik te maak. Die hipotese is gestel dat die verskillende plantdele na ‘ n gewenste massaverhouding tot die totale plantmassa streef deur die translokasie van koolhidrate. ‘n Beperkte maksimum tempo van translokasie in en uit plantdele is gestel. Die werklike translokasietempo verander sigmoidaal met die relatiewe massaverhoudingafwyking.     

气候变化对藏药独一味适生区分布格局的影响

本研究通过实地调查,运用最大熵(MaxEnt)模型和环境气候数据模拟未来气候变化对青藏高原地区藏药独一味(Lamiophlomis rotata(Benth.)Kudo)适生区空间分布格局的影响,探索其适生区变迁规律.通过ArcGIS和SPSS对模拟结果分析显示,当前气候条件下独一味最适宜生长地区主要分布于青藏高原地区...     

Evaluating Sugarcane Diets for Dairy Cows Using a Digestion Model

To eliminate unnecessary feeding trials, a mechanistic model of sugarcane digestion was used in the search for suitable supplements to improve milk production. Milk production simulated by the model was compared with data observed in four feeding trials published in the tropical literature where crossbred dairy cows were fed sugarcane/urea diets with different types of supplements. The predicted effects of the supplements on the ruminal microbial population, concentrations of ammonia and volatile fatty acids were also compared with the published results in one experiment. The model indicated the nutrient most limiting milk production for the different feeding situations. The addtion of Leucaena to the basal sugarcane/urea improved the availability of amino acids and long-chain fatty acids, with energy becoming the limiting factor. Supplementation with rice bran increased the availability of energy and long-chain fatty acids, but amino acids then became the limiting factor. Supplementation with both Leucaena and rice bran further improved the milk yield, but availability of energy now limited milk production. Supplementation with Leucaena increased milk production more than supplementation with king grass. The main reason for this increase was increased amino acid absorption due to increased microbial outflow. In all feeding situations, the average difference between the predicted milk production and that observed experimentally was 0.57 kg/d (ranging from 0.08 to 1 kg/d).     

Accounting for unknown foster dams in the genetic evaluation of embryo transfer progeny

Animals born by embryo transfer (ET) are usually not included in the genetic evaluation of beef cattle for preweaning growth if the recipient dam is unknown. This is primarily to avoid potential bias in the estimation of the unknown age of dam. We present a method that allows including records of calves with unknown age of dam. Assumptions are as follows: (i) foster cows belong to the same breed being evaluated, (ii) there is no correlation between the breeding value (BV) of the calf and the maternal BV of the recipient cow, and (iii) cows of all ages are used as recipients. We examine the issue of bias for the fixed level of unknown age of dam (AOD) and propose an estimator of the effect based on classical measurement error theory (MEM) and a Bayesian approach. Using stochastic simulation under random mating or selection, the MEM estimating equations were compared with BLUP in two situations as follows: (i) full information (FI); (ii) missing AOD information on some dams. Predictions of breeding value (PBV) from the FI situation had the smallest empirical average bias followed by PBV obtained without taking measurement error into account. In turn, MEM displayed the highest bias, although the differences were small. On the other hand, MEM showed the smallest MSEP, for either random mating or selection, followed by FI, whereas ignoring measurement error produced the largest MSEP. As a consequence from the smallest MSEP with a relatively small bias, empirical accuracies of PBV were larger for MEM than those for full information, which in turn showed larger accuracies than the situation ignoring measurement error. It is concluded that MEM equations are a useful alternative for analysing weaning weight data when recipient cows are unknown, as it mitigates the effects of bias in AOD by decreasing MSEP.     

血瘀痛经小鼠模型的建立

目的：建立无创伤的血瘀痛经小鼠模型。方法：雌性昆明种小鼠240只,连续灌胃己烯雌酚12 d,第11天背部皮下注射角叉菜胶,后动物饲养环境温度保持在8-10℃24 h,末次灌胃己烯雌酚1 h后,腹腔注射缩宫素,观察并记录小鼠扭体潜伏期、扭体次数与尾部血栓形成长度百分率及血小板聚集值。数据采用X±S表示,应用SPSS11.5统计软件进行t检验分析,筛选血瘀痛经小鼠模型建立条件。结果：模型建立方法为灌胃己烯雌酚2 mg/kg,连续12 d,第11天背部皮下注射角叉菜胶300 mg/kg,后将动物饲养环境温度保持在8-10℃24 h,第12天腹腔注射缩宫素25 u/kg,小鼠痛经扭体现象出现,尾部血栓形成明显。结论：小鼠血瘀痛经模型是一种造模方法易于掌握,造模成功后体征表征明显,便于观察,在活血调经药效筛选中可以节约实验动物的模型建立方法。     

施肥对全膜双垄沟播玉米土壤养分动态变化的影响

采用大田随机区组试验法,研究了不同施肥水平下全膜双垄沟播玉米土壤有机质、全氮、全磷、碱解氮和速效磷的动态变化情况。结果表明:整个玉米生育时期0～20cm土层各处理的土壤有机质、全氮、全磷、碱解氮和速效磷变化趋势与20～40cm土层基本一致。土壤有机质和碱解氮含量随着玉米生育时期的推进而不断降低,且分别在抽雄期和灌浆期达到最低值,成熟期有机质和碱解氮含量又略有回升。全磷含量从苗期到成熟期逐渐降低。全氮和速效磷含量在玉米生长前期不断增加,且分别在抽雄期和拔节期达到最大值,之后随着生育期的推进而不断降低。两个土层的土壤养分含量存在着明显的垂直递减规律。西北干旱半干旱地区全膜双垄沟播玉米种植密度确定为6.75×104株/hm-2时,最佳施肥量为纯N 210kg/hm2、P2O5168kg/hm2。     

人类艾滋病动物模型研究进展

许多疾病的研究离不开动物模型,它是进行发病机制、药物治疗和疫苗研究的必需条件之一。文章综述了近年来国内外建立艾滋病动物模型研究方面的新进展,包括了灵长类动物和非灵长类动物,并对建立艾滋病动物模型的发展前景进行展望。     

A comparison between multivariate Slash, Student's t and probit threshold models for analysis of clinical mastitis in first lactation cows

Robust threshold models with multivariate Student's t or multivariate Slash link functions were employed to infer genetic parameters of clinical mastitis at different stages of lactation, with each cow defining a cluster of records. The robust fits were compared with that from a multivariate probit model via a pseudo‐Bayes factor and an analysis of residuals. Clinical mastitis records on 36 178 first‐lactation Norwegian Red cows from 5286 herds, daughters of 245 sires, were analysed. The opportunity for infection interval, going from 30 days pre‐calving to 300 days postpartum, was divided into four periods: (i) ?30 to 0 days pre‐calving; (ii) 1–30 days; (iii) 31–120 days; and (iv) 121–300 days of lactation. Within each period, absence or presence of clinical mastitis was scored as 0 or 1 respectively. Markov chain Monte Carlo methods were used to draw samples from posterior distributions of interest. Pseudo‐Bayes factors strongly favoured the multivariate Slash and Student's t models over the probit model. The posterior mean of the degrees of freedom parameter for the Slash model was 2.2, indicating heavy tails of the liability distribution. The posterior mean of the degrees of freedom for the Student's t model was 8.5, also pointing away from a normal liability for clinical mastitis. A residual was the observed phenotype (0 or 1) minus the posterior mean of the probability of mastitis. The Slash and Student's t models tended to have smaller residuals than the probit model in cows that contracted mastitis. Heritability of liability to clinical mastitis was 0.13–0.14 before calving, and ranged from 0.05 to 0.08 after calving in the robust models. Genetic correlations were between 0.50 and 0.73, suggesting that clinical mastitis resistance is not the same trait across periods, corroborating earlier findings with probit models.