双内源指示剂法测定兔饲粮消化能值及其预测模型的研究

本试验旨在研究利用双内源指示剂法测定兔饲粮养分消化率及消化能(DE)值,并建立兔饲粮DE值的预测模型。选用体重相近的4月龄獭兔30只,随机分为3组,每组10个重复,每个重复1只兔。每组饲喂1种饲粮,用全收粪法进行消化试验,用聚酯纤维筛网袋法测定了饲粮中的2种内源指示剂,即酸不溶木质素(ADL)和盐酸不溶灰分(AIA)+ADL的回收率。同时选取了山东省不同饲料公司生产的17种兔颗粒配合饲料,在各自兔养殖场进行饲养试验,利用双内源指示剂法测定兔饲粮DE值,建立兔饲粮DE值的预测模型。结果表明:1)全收粪法测得3种饲粮ADL的平均回收率为99.87%,ADL+AIA的平均回收率为96.81%,二者可作为理想的双内源指示剂。2)利用双内源指示剂法可以准确测定兔饲粮的各种养分消化率和DE值。3)兔饲粮DE值可以用饲粮中可消化有机物质(DOM)含量进行准确的预测:DE(M J/kg)=0.0204DOM(g/kg)或DE(M J/kg)=0.939 5+0.018 2DOM(g/kg)。4)利用兔饲粮中养分[粗蛋白质(CP)、粗脂肪(EE)、可溶性碳水化合物(NDSC)、半纤维素(HCEL)和纤维素(CEL)]含量建立兔饲粮DE值的预测模型为DE(MJ/kg)=0.016 6CP(g/kg)+0.0334EE(g/kg)+0.015 3NDSC(g/kg)+0.005 4HCEL(g/kg)+0.003 1CEL(g/kg)。由此可见,利用双内源指示剂法可以较好地预测兔饲粮的DE值。     

Mucopolysaccharidosis IIIA (Sanfilippo syndrome) in a New Zealand Huntaway dog with ataxia

Aim: To investigate the nature of a progressive ataxia in a New Zealand Huntaway dog.

Methods: The affected dog was examined clinically before being humanely killed and necropsied. Selected tissues were submitted to light and electron microscopy and to biochemical analyses.

Results: The histological lesions were interpreted as indicative of one of the forms of mucopolysaccharidosis type-III (dMPS-III), a lysosomal storage disease. Biochemically there was a deficiency of heparan sulphamidase. All the heparan sulphate chains had non-reducing-end glucosamine-N-sulphate residues.

Conclusion: The disease is dMPS-IIIA (Sanfilippo syndrome). An autosomal recessive mode of inheritance can be provisionally assumed from the nature of this disease in other species.     

畜群规模的结构决策研究

结构和规模是影响草地放牧生态系统功能实现的重要因素。本文通过建立和分析畜群种群动态模型, 揭示了母畜结构参数是影响畜群规模唯一因素的一般规律：（１） 当１２ ∑ｒｉ＝ １ｂｉ ∏ｉｊ＝ １ ｑｉ,ｊ－ １ｐｉ,ｊ－ １ （１ － ｓｉ,ｊ－ １）（１ － （１ － ｑｉ,ｊ－ １） ｐｉ,ｊ－ １ （１ － ｓｉ,ｊ－ １）） ＝ １ 时, 畜群规模稳定, 基本保持不变;（２） 当１２ ∑ｒｉ＝ １ｂｉ ∏ｉｊ＝ １ ｑｉ,ｊ－ １ｐｉ,ｊ－ １ （１ － ｓｉ,ｊ－ １）（１ － （１ － ｑｉ,ｊ－ １） ｐｉ,ｊ － １ （１ － ｓｉ,ｊ－ １）） ＜ １ 时, 畜群规模呈下降趋势,最终趋近于零;（３） 当１２ ∑ｒｉ＝１ｂｉ ∏ｉｊ＝ １ ｑｉ,ｊ－ １ｐｉ,ｊ－ １ （１ － ｓｉ,ｊ－ １）（１ － （１ － ｑｉ ,ｊ－ １） ｐｉ,ｊ－ １ （１ － ｓｉ,ｊ－ １）） ＞ １ 时, 畜群规模随年度不断膨胀, 并最终突破系统的承载能力。     

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.     

Factors associated with time to neonatal diarrhoea in French beef calves

A prospective study was carried out on 92 randomly selected beef herds in the Midi-Pyrénées region in France. The objective was to determine factors associated with time to neonatal gastroenteritis. By taking into account the “intra-herd” correlation in failure time (in the semiparametric Cox model), we identified 12 management risk factors associated with hazard of diarrhoea. Some previously have been identified, but “new” risk factors were feeding of corn silage and the incidence of diarrhoea in the last season. We used the two main approaches which are often reviewed: marginal and frailty Cox models. Our results show that these two models give different parameter estimates, so the choice of the model remains crucial.     

乳牛体型性状线性评定数学模型的指导和应用

本文说明了乳牛体型性状线性评定的常规方法,在此基础上推导出了该评定方法的数学模型。该模型的提出,极大地简化了常规评定方法的繁琐计算,值得在乳牛业生产实践中推广使用。     

生长猪大米蛋白消化能、代谢能的评定及预测模型研究

本试验通过采集我国多个地区大米蛋白样品,分析大米蛋白常规成分,测定生长猪消化能(DE)、代谢能(ME),建立大米蛋白常规成分与生长猪DE、ME之间的关系。试验选用体重(33.0±1.3)kg的"杜×长×大"三元杂交健康去势公猪12头,采用2个6×6拉丁方试验设计,包括1种基础饲粮和11种大米蛋白替代15%基础饲粮的试验饲粮。采用全收粪法和套算法结合测定大米蛋白猪DE、ME,并将大米蛋白的常规成分与猪DE、ME进行相关和回归分析,建立大米蛋白猪DE、ME预测模型。结果表明,11种大米蛋白风干基础下猪DE为(18.13±1.12)M J/kg,M E为(16.44±1.59)M J/kg。由此得出,大米蛋白猪DE最佳预测模型(绝干基础)为DE=22.17-0.51NDF(R2=0.50,RSD=0.93),DE=18.58-0.49 CF+0.31 EE(R2=0.70,RSD=0.77);M E最佳预测模型(绝干基础)为ME=21.42-0.74 NDF(R2=0.52,RSD=1.30)。NDF为大米蛋白猪DE、M E最佳预测因子。     

基于NRC模型下不同玉米副产品代谢蛋白预测产量与分子功能团特征参数相关性分析

试验基于NRC-2001模型预测不同玉米副产品代谢蛋白产量,利用光谱技术分析不同玉米副产品的分子功能团特征及二者之间的相关性并建立回归方程。采用NRC-2001模型对奶牛饲料蛋白营养价值进行评价,利用傅立叶变换红外光谱（Fourier transform infrared,FTIR）技术收集光谱数据并分析。结果显示,利用NRC-2001模型预测不同玉米副产品代谢蛋白特征参数具有显著差异（P<0.05）。其中,小肠中真可吸收代谢蛋白总量在玉米蛋白粉中有最高值,其次是玉米胚芽饼、玉米胚芽、玉米皮及玉米籽粒。饲料产奶价值（FMV）存在相同趋势。在光谱结构分析中,饲料的分子功能团特征参数存在显著差异（P<0.05）,蛋白代谢预测产量与分子功能团特征参数之间存在相关性,建立的回归模型拟合度较好。其中,玉米籽粒中酰胺Ⅰ带与纤维性碳水化合物的面积比值（Amide Ⅰ_CELC）显著高于其他饲料原料（P<0.05）,玉米胚芽的酰胺Ⅰ带与结构性碳水化合物的面积比值（Amide Ⅰ_SCHO）和Amide Ⅰ_CELC比值均较低（P<0.05）,而玉米皮的蛋白质酰胺Ⅱ带与结构性碳水化合物（SCHO）和纤维性碳水化合物（CELC）之间的光谱面积比值均显著低于其他饲料比值（P<0.05）,玉米胚芽饼的蛋白质酰胺Ⅱ带与总碳水化合物之间峰面积比值（Amide Ⅱ_TNSCHO）显著高于其他饲料原料（P<0.05）。在不同玉米副产品饲料中,瘤胃合成微生物蛋白（MCP）和小肠真可吸收微生物蛋白（AMCP）含量与蛋白质酰胺Ⅰ带与非结构性碳水化合物之间的峰面积比值（Amide Ⅰ_TNSCHO）无显著相关性（P>0.05）,但与其他各光谱分子功能团特征参数存在显著负相关（P<0.05）。Amide Ⅰ_TCHO和Amide Ⅱ_SCHO可共同作为预测因子估测小肠真可吸收瘤胃非降解蛋白（ARUP）、代谢蛋白（MP）和FMV,其决定系数均为0.997。本试验结果表明,不同玉米副产品基于NRC-2001模型下代谢蛋白预测产量与分子功能团特征参数之间存在相关关系,可利用傅立叶变换红外光谱分析技术对饲料营养价值进行快速分析和估测。     

Assessment of stiffness and strength of 4 different implants available for equine fracture treatment: a study on a 20 degrees oblique long-bone fracture model using a bone substitute

OBJECTIVE: To compare the mechanical properties of 4 stabilization methods for equine long-bone fractures: dynamic compression plate (DCP), limited contact-DCPlate (LC-DCP), locking compression plate (LCP), and the clamp-rod internal fixator (CRIF--formerly VetFix). STUDY DESIGN: In vitro mechanical study. SAMPLE POPULATION: Bone substitute material (24 tubes) was cut at 20 degrees to the long axis of the tube to simulate an oblique mid-shaft fracture. METHODS: Tubes were divided into 4 groups (n=6) and double plated in an orthogonal configuration, with 1 screw of 1 implant being inserted in lag fashion through the "fracture". Thus, the groups were: (1) 2 DCP implants (4.5, broad, 10 holes); (2) 2 LC-DCP implants (5.5, broad, 10 holes); (3) 2 LCP implants (4.5/5.0, broad, 10 holes) and 4 head locking screws/plate; and (4) 2 CRIF (4.5/5.0) and 10 clamps in alternating position left and right of the rod. All constructs were tested in 4-point bending with a quasi-static load until failure. The implant with the interfragmentary screw was always positioned on the tension side of the construct. Force, displacement, and angular displacement at the "fracture" line were determined. Construct stiffness under low and high loads, yield strength, ultimate strength, and maximum angular displacement were determined. RESULTS: None of the implants failed; the strength of the bone substitute was the limiting factor. At low loads, no differences in stiffness were found among groups, but LCP constructs were stiffer than other constructs under high loads (P=.004). Ultimate strength was lowest in the LCP group (P=.01), whereas yield strength was highest for LCP constructs (409 N m, P=.004). CRIF had the lowest yield strength (117 N m, P=.004); no differences in yield strength (250 N m) were found between DCP and LC-DCP constructs. Differences were found for maximum angular displacement at the "fracture" line, between groups: LPC相似文献   

Bright artificial light at night is associated with increased body mass,poor reproductive success and compromised disease tolerance in Australian budgerigars (Melopsittacus undulatus)

Artificial light at night (ALAN) can cause circadian disruption and result in adverse behavioral and ecological effects in free‐living birds, but studies on captive pet birds as companion animals have been infrequent. We studied the effects of exposure to bright ALAN on body mass, melatonin sulfate levels, reproduction and disease severity in Australian budgerigars (Melopsittacus undulatus) kept in captivity. During the experiment, birds were kept under outdoor temperature, humidity and natural photoperiod from September to December. A total of 48 birds were equally split into 4 groups (6 mating pairs each) and concurrently exposed to ALAN of 200 lux with different duration (0, 30, 60 and 90 min). Monthly observations were recorded for all dependent parameters. ALAN exposure increased mass gain and suppressed melatonin levels in a dose‐dependent manner, especially during December. In addition, ALAN exposure in all duration groups decreased egg production and reduced hatchability from 61% ± 14% in the ALAN‐unexposed control group to 0% in the ALAN‐exposed birds. Disease severity was also found to increase in line with the duration of ALAN exposure. In captive M. undulatus, ALAN exposure was demonstrated to affect photoperiodic regulation with subsequent excess mass gain and reproduction impairment, and increased susceptibility to infections plausibly through duration dose‐dependent suppression of melatonin. To the best of our knowledge, this is the first study to demonstrate a possible association between acute bright ALAN of increasing duration and both natural development of infections as well as reproductive cessation in captive birds. Our findings could be used to improve breeding conditions of captive birds.