灌区节水改造对塔里木河流域治理的作用

在对塔里木河“四源一干”及流域大型灌区存在主要问题分析的基础上，探讨了大型灌区建戌节水改造,对工业及城镇生活需水增长、灌溉及周边生态环境用水、流域综合治理和社会经济可持续发展的作用，深入阐明大型灌区续建配套与节水改造对区域水资源合理配置生态及环境发展的重大意义。     

Emerging issues in genomic selection

Genomic selection (GS) is now practiced successfully across many species. However, many questions remain, such as long-term effects, estimations of genomic parameters, robustness of genome-wide association study (GWAS) with small and large datasets, and stability of genomic predictions. This study summarizes presentations from the authors at the 2020 American Society of Animal Science (ASAS) symposium. The focus of many studies until now is on linkage disequilibrium between two loci. Ignoring higher-level equilibrium may lead to phantom dominance and epistasis. The Bulmer effect leads to a reduction of the additive variance; however, the selection for increased recombination rate can release anew genetic variance. With genomic information, estimates of genetic parameters may be biased by genomic preselection, but costs of estimation can increase drastically due to the dense form of the genomic information. To make the computation of estimates feasible, genotypes could be retained only for the most important animals, and methods of estimation should use algorithms that can recognize dense blocks in sparse matrices. GWASs using small genomic datasets frequently find many marker-trait associations, whereas studies using much bigger datasets find only a few. Most of the current tools use very simple models for GWAS, possibly causing artifacts. These models are adequate for large datasets where pseudo-phenotypes such as deregressed proofs indirectly account for important effects for traits of interest. Artifacts arising in GWAS with small datasets can be minimized by using data from all animals (whether genotyped or not), realistic models, and methods that account for population structure. Recent developments permit the computation of P-values from genomic best linear unbiased prediction (GBLUP), where models can be arbitrarily complex but restricted to genotyped animals only, and single-step GBLUP that also uses phenotypes from ungenotyped animals. Stability was an important part of nongenomic evaluations, where genetic predictions were stable in the absence of new data even with low prediction accuracies. Unfortunately, genomic evaluations for such animals change because all animals with genotypes are connected. A top-ranked animal can easily drop in the next evaluation, causing a crisis of confidence in genomic evaluations. While correlations between consecutive genomic evaluations are high, outliers can have differences as high as 1 SD. A solution to fluctuating genomic evaluations is to base selection decisions on groups of animals. Although many issues in GS have been solved, many new issues that require additional research continue to surface.     

CD8+T细胞在不同年龄家兔胃肠道的分布规律

探讨不同年龄组家兔胃肠道各段CD8⁺T细胞的分布特征,为进一步研究CD8⁺T细胞的作用奠定形态学基础。采用免疫组织化学技术对不同年龄组(幼年组、青年组、老年组)家兔胃肠道内CD8⁺T细胞进行染色、观察及统计分析。结果显示,家兔的CD8⁺T细胞多呈圆形、椭圆形或呈不规则形。在不同年龄组家兔,胃肠不同部位的分布有如下特点:家兔的CD8⁺T细胞主要分布于胃肠道的固有层中;青年组CD8⁺T细胞的分布数量显著高于幼年组和老年组;各肠段之间CD8⁺T细胞分布的数量差异不显著,但其分布的总量按照小肠、大肠、胃的顺序依次降低。研究结果显示,CD8⁺T细胞在家兔小肠的分布最多,并且其数量随着年龄的增长呈现先上升后下降的趋势,青年家兔胃肠的分布最为丰富。