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。     

丝素/明胶共混膜的结构与溶解性能的初探

将丝素溶液与明胶溶液按不同共混比在不同条件下进行混合,制备成丝素/明胶共混膜。用环境扫描电镜、红外光谱仪、差示扫描量热分析系统分别测定共混膜的结构与热性能,采用烘干质量法测定共混膜的溶胀率和溶解率。结果表明:丝素与明胶的共混性好,共混膜结构改变,热稳定性好;烘干时间对共混膜的溶胀率和溶解率影响不显著,不同浓度乙醇处理对溶胀率有极显著影响,不同共混比则对溶胀率和溶解率都有极显著影响。     

High Throughput Sequencing to Study the Effect of Chronic Renal Failure on the Diversity and Gene Function Prediction of Gut Microbiota in Dogs

This study aimed to investigate the effect of chronic renal failure(CRF) on the gut microbiota diversity and predict the gene function of the flora. A total of 30 2-year-old dogs were selected and randomly divided into the chronic renal failure model group (CRF, established by renal artery ligation), sham operation control group (Sham) and healthy control group (HCG). All animals were fed normally during the 56 days of test period. The serum creatinine (Scr), blood urea nitrogen (BUN) and urine protein / creatinine ratio (UP/C) were detected regularly during the experiment. The effects of chronic renal failure on the structure, diversity and function of gut microbiota were analyzed according to the result of bacterial 16S rDNA sequencing from fresh feces collected without contamination. The flora markers index (FMI) was constructed based on the principal component Logistic regression analysis of different microbiota in CRF group to predict the development of chronic renal failure. The results showed that: 1) The levels of Scr, BUN and UP/C in CRF group from the start of the 28th day of the experiment were significantly higher than those of HCG group and Sham group (P<0.05), and significantly higher than that of the first day of CRF group (P<0.05). 2) Compared with those before chronic renal failure (CRF group at day 0 and 28), HCG group and Sham group, the Chao 1 diversity and Shannon diversity of gut microbiota in CRF group at day 56 were significantly lower (P<0.05), while the relative abundance of Bacteroidetes, Proteobacteria and Actinobacteria significantly increased and the number of Firmicutes significantly decreased (P<0.05). 3) LEfSe analysis showed that 20 species were enriched in CRF group, mainly including Pseudomonas, Escherichia, Proteus and so on, and most of them had negative correlation with other intestinal bacteria. Functional prediction revealed that genes of those different species were mainly enriched in amino acid metabolism, sugar biosynthesis and metabolism and carbohydrate metabolism in CRF group. The area under ROC curve (AUC) of the FMI constructed with those species enriched was 0.788, which could be used as the intestinal microbial marker for CRF in dogs. In summary, chronic renal failure can reduce the diversity of intestinal microbiota, lead to the imbalance of bacterial structure and change of bacterial function. Moreover, the enriched gut microbiota in CRF group can be used as the intestinal microbial marker of CRF in dogs, and the best prediction effect can be obtained by FMI.     

“Arte et Labore”—A Blackburn Rovers fan's legacy in human complex trait genetics

Through his own research contributions on the modelling and genetic analysis of quantitative traits and through his former students and postdocs, Robin Thompson has indirectly left a major legacy in human genetics. In this short note, we highlight examples of the long‐lasting relevance and impact of Robin's work in human genetics. A lone early study of marker‐assisted selection developed many of the tools and approaches later exploited (often after reinvention) by the human genetics community in GWAS studies and for prediction. Furthermore, a particularly clear example of the pervasive impact of Robin's work is that REML has become the default method to estimate variance components and that genetic predictions exploiting linkage disequilibrium in the population are starting to become used in precision medicine applications.     

陇西南塬区农业生产系统结构与效益研究

本研究通过对陇西南塬区农业生产系统的结构分析，确认该系统的特征为产业结构不合理（以种植业为主），种植业以粮食生产为主，复种指数低（１１１％）；养殖业中草食家畜比例低，饲养技术落后，良种率低；林果业效益低下；人口密度高，劳动力过剩，生产能源短缺等。通过系统分析提出了调控方针，该系统整体效益提高的关键是发展以草食家畜为核心的养殖业，种植业应及时调整结构，提高经济作物和饲料作物的比例，提高复种指数，林果     

Including an additional systematic environmental effect within a generation in an evaluation model improves accuracy of prediction of breeding values in a closed herd of pigs

The present study evaluated the advantage of mixed‐model techniques over a selection index under different magnitudes of an additional systematic environmental effect (ASEE) in terms of accuracy of prediction and expected genetic gain. The data attempted to simulate a closed herd in a pig breeding program. The base population (G₀) consisted of 10 males and 50 females. Six generations (G₀ to G₅) were selected by using a selection index of three traits without overlapping. Additional systematic environmental constants with four levels in a generation were assigned from a uniform distribution at different ranges. Breeding values of animals in the last generation (G₅) were estimated on the basis of an index of individual phenotype (SI‐U), SI‐U adjusted for ASEE using a least‐squares mean (SI‐A), best linear unbiased prediction using an animal model excluding ASEE (AM‐E), and an animal model including ASEE (AM‐I). Accuracy of prediction and expected genetic gain were larger by the animal model than by the selection index, even if heritability of the traits selected was high and ASEE was set to zero. When ASEE was zero, the accuracy of prediction and expected genetic gain given by SI‐U and AM‐I were similar to those given by SI‐A and AM‐E, respectively. However, the differences in accuracy and expected gain between SI‐U and AI‐A and between AM‐I and AM‐E increased as the range of ASEE increased. It was concluded that selection based on an animal model was more effective than index selection, even if the herd environment was uniform and traits with high heritability were selected, and that it should be always included in an evaluation model, however slight any systematic environmental effect may be in a closed herd.     

达乌尔黄鼠肛腺组织解剖

达乌尔黄鼠Ｃｉｔｅｌｌｕｓ ｄａｕｒｉｃｕｓ具有三个肛腺，位于肛门与直肠之间的粘膜下层，肛腺深约６－７ｍｍ，三个肛腺的圆形开口呈倒三角形排列于肛周内侧，平时不现，在受外界剌激时。肛门外翻露出三个肛腺的开口。腺体由两种腺泡群组成：一种由大量的皮脂聚合而成，排列在肛囊底产；一种由大量的顶浆分泌型汗腺聚合而成，分布于皮脂腺群的外围。     

Predictive equations of selenium accessibility of dry pet foods

The trace element selenium is essential to both dogs and cats. Dry diets are formulated with a large range of ingredients, which may vary in selenium concentration and accessibility. This paper reports equations to predict the average in vitro selenium accessibility from dry pet foods based on essential dietary nutrient concentrations, including crude protein, amino acids and crude fat. Predictive equations were made using stepwise linear regression for extruded and pelleted diets. The equations can be used to aid diet formulation to optimize selenium accessibility within the diet and to prevent selenium deficiency or toxicity.     

基于B/S结构的猪场管理信息系统的设计

本文介绍了基于B/S结构的猪场管理信息系统的设计,并从系统设计和系统模块功能两个方面进行了详细的说明.该系统可对猪只进行全程跟踪管理,提高管理水平,从而实现猪场经济效益的增加.     

反刍动物采食量的概念与研究方法

本研究对反刍家畜采食量的研究发展与现状进行了回顾与总结,采食量及其相关术语的定义主要基于饲草料或家畜,其测定方法和精确含义有差异;反刍家畜采食是由生物和非生物因素相互作用共同影响的复杂动态过程,采食量影响因子主要分为家畜的(胃肠蠕动力、选择性采食等)、饲草料的(粗纤维含量、抗营养成分等)和饲养条件的(草层结构、草地饮水点分布等)因素3个方面;采食量的测定方法有基于牧草测定的直接法和基于家畜测定的间接法,后者较多地应用于放牧家畜;预测方法有基于数学函数和生物学原理的模型法,基于消化试验的经验法和结合家畜属性的改进经验法。舍饲条件下可准确地测定和预测家畜的采食量,但对放牧家畜还没有精确的方法。通过测定与饲草水平密切相关的家畜尿液、血液或粪便中的代谢物水平将成为预测放牧家畜采食量的准确方法。