纳米Al_2O_3改性水性木器漆耐磨性和硬度的研究

为提高水性聚丙烯酸酯木器漆的耐磨性和硬度,进行纳米Al2O3浆料的制备及其对水性木器漆改性的研究,探讨分析不同制备方法和Al2O3添加量对漆膜耐磨性和硬度的影响。结果表明:以聚丙烯酰胺为分散剂、聚乙二醇和辛基酚聚氧乙烯醚为润湿剂、聚乙烯吡咯烷酮为稳定保护胶,在高速搅拌下制成的纳米Al2O3浆料,在透射电镜下观察发现纳米Al2O3颗粒分布均匀,具有良好的分散性;在不影响漆膜透明度的情况下,漆膜耐磨性和硬度随Al2O3添加量增加得到提高,添加量在1.5%时漆膜具有较好的耐磨性和硬度;纳米杂合工艺法的漆膜耐磨性和硬度优于后添加法制备的水性木器漆涂膜。     

黄土丘陵区不同管理方式下草地优势种群的生态位

以吴起县杨青川流域草地为研究对象,对封育(Enclosure)、放牧(Grazing)、施肥(Fertilization)、刈割(Clipping)、灭鼠(Deratization)5种管理方式的草地群落进行调查,并运用Levins生态位宽度和Pianka生态位重叠指数对5种管理方式下主要植物种群生态位特征进行分析。结果表明,达乌里胡枝子(Lespedeza davurica)、铁杆蒿(Artemisia sacrorum)、赖草(Leymus secalinus)、猪毛蒿(Artemisia scoparia)和硬质早熟禾(Poa sphondylodes)的种群总生态位宽度较大,封育放牧施肥刈割灭鼠管理模式下,生态位宽度最大的分别是达乌里胡枝子、赖草、紫花地丁(Viola philippica)、达乌里胡枝子和猪毛蒿,生态位宽度值大于4的物种数分别为6、6、3、4和3种。不同管理方式下各种对间的重叠指数平均值由大到小依次封育放牧施肥刈割灭鼠。施肥管理中,种群间生态位宽度与生态位重叠之间存在线性关系,其它管理方式中种群生态位宽度与生态位重叠之间不存在线性关系。生态位分析表明,封育和放牧管理下种群间对资源的需求趋于相同,彼此间通过竞争共存,有利于群落演替,草地生态系统逐渐得到恢复,施肥、刈割、灭鼠管理使群落物种竞争排序发生变化,破坏了草地生态系统原有的竞争机制,导致群落向简单群落演替。从牧草发展角度出发,封育、施肥和刈割有利于优质牧草生长。     

高寒半干旱地区4种牧草的适应性及坪用价值

[目的]通过冷地早熟禾（Poa crymophila）、中华羊茅（Festuca sinensis cv.）、星星草（Puccinella tenuiflora）和野生早熟禾（wild Poa pratensis）4种小草籽的引进繁育,观察小草籽品种的适应性和坪用性,筛选出抗逆性强、管理粗放、适应城市绿化栽植的人工草坪地植被品种,为品种资源的开发打下良好基础。[方法]2009年在青海省共和盆地木格滩高寒半干旱地区种植牧草田,2010年观察牧草各品种的越冬性能、生长习性、适用性和坪用性。[结果]4种牧草品种越冬率均在95.0%以上,表现出耐寒、越冬性极强的特点。中华羊茅生育期最长,其次是冷地早熟禾,野生早熟禾和星星草生育期最短。持续高温干旱天气对中华羊茅生长发育有明显影响,而对其他3种牧草的影响较小。4种牧草品种的实际草籽产量顺序依次为中华羊茅〉野生早熟禾〉冷地早熟禾〉星星草。中华羊茅产草量和地上生物产量比星星草、冷地早熟禾和野生早熟禾高。种子产量中,中华羊茅最大,其次是星星草,冷地早熟禾和野生早熟禾种子产量相同,最小。[结论]中华羊茅、星星草、冷地早熟禾和野生早熟禾均适用于海拔3 000 m以上地区种植。     

The Influence of Carbon Dioxide or Ozone Concentration on Growth and Assimilate Partitioning in Seedlings of Nine Conifers

Abstract

Seedlings of nine different conifers were exposed to 355 and 730 μmol mol-1 CO₂, or low (> 15 nmol mol^?1) and elevated 0₃ concentration (70 nmol mol^?1) for 81–116 days. The experiments were conducted in growth chambers placed in a greenhouse. Increased CO₂ concentration enhanced the mean relative growth rate (RGR) and total plant dry weight by 4 and 33% in Larix leptolepis, by 4 and 38% in Larix sibirica, by 7 and 47% in Picea glauca and by 3 and 16% in Picea sitchensis, respectively. The growth rates and dry weights of Pimis contorta, Pinus mugo and Pseudotsuga menziesii were not significantly affected. Carbon dioxide enrichment enhanced RGR of two provenances of Picea abies by 4 and 6%, respectively, while a third provenance was unaffected. In Pimis sylvestris, only the RGR of one of three provenances was stimulated by CO₂ enrichment (4%).

After two growth seasons CO₂ enrichment enhanced RGR and total plant dry weight by 11 and 35% in Picea abies and by 12 and 36% in Pinus sylvestris, respectively. Elevated CO₂ decreased the shoot:root ratio in Larix leptolepis, and decreased the needlerstem ratio in Picea glauca, but increased it in Pseudotsuga menziesii.

Elevated O₃ significantly decreased the plant dry weight in Picea sitchensis, Pseudotsuga menziesii and in one of three provenances of Pinus sylvestris, while the other species and provenances were unaffected. Increased O₃ concentration increased the shoot:root dry weight ratio in one of three Picea abies provenances, in all three Pinus sylvestris provenances and in Pinus contorta. The needle:stem ratio was enhanced by O₃ in seven of the nine species. The O₃ exposure caused chlorosis of needles in all species except Pseudotsuga menziesii.     

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.     

猪C1QTNF3基因可变剪接体的鉴定及介导miR-101调控成脂分化的研究

旨在研究猪C1QTNF3基因可变剪接体的特性及miR-101通过C1QTNF3基因促进猪脂肪SV细胞成脂分化的机制。本研究采集3头30日龄健康马身猪仔公猪心、肝、脾、肺、肾、胃、股二头肌、腰大肌、皮下脂肪和背部脂肪组织样品,首先利用RT-PCR技术和生物信息学方法对C1QTNF3基因的不同转录本进行扩增和生物学特性分析,采用qRT-PCR技术检测C1QTNF3基因不同转录本在猪组织中的表达变化。随后,利用生物信息学预测发现,C1QTNF3上游的调控因子是miR-101,采用双荧光素酶报告试验验证miR-101对C1QTNF3的调控作用。最后,利用油红O染色和qRT-PCR技术检测过表达miR-101对猪脂肪SV细胞成脂分化的影响。基因克隆得到猪C1QTNF3存在两个转录本C1QTNF3和C1QTNF3-1,其中C1QTNF3-1为新鉴定的转录本;测序分析显示,与C1QTNF3相比,C1QTNF3-1的第1外显子区域缺失了219个碱基,少编码73个氨基酸。进化树分析显示,猪C1QTNF3和C1QTNF3-1蛋白序列与人和马来亚穿山甲等物种的亲缘关系较近。C1QTNF3和C1QTNF3-1在猪各组织中均有表达,且在各组织中C1QTNF3-1的表达量均极显著高于C1QTNF3（P<0.01）。过表达miR-101极显著下调C1QTNF3 3'UTR区域的荧光素酶活性（P<0.01）和C1QTNF3 mRNA的表达（P<0.01）,同时增加了脂肪细胞成脂分化关键基因PPARγ、C/EBPβ、SREBP-1c和FABP4的mRNA表达量（P<0.01）。本试验成功克隆了猪C1QTNF3基因的两个可变剪接体,其中C1QTNF3-1在猪不同组织中均高表达,推测该转录本为基因发挥功能的主要亚型。并深入研究了C1QTNF3基因的上游调控因子,揭示了miR-101靶向C1QTNF3促进成脂分化的机制,丰富了C1QTNF3的生物学作用和调控网络。     

一种适用于单胎动物多品种选择的基因组关系矩阵

旨在提出一种新型基因组关系矩阵并验证其在多品种联合群体中的模拟应用效果。本研究利用QMsim软件模拟牛的表型数据和基因型数据;利用Gmatrix软件构建常规G阵;利用R语言构建新型G阵,新型G阵在常规G阵的基础上,将多品种联合群体的非哈代-温伯格平衡位点考虑在内;利用DMU软件使用“一步”法模型计算基因组估计育种值（estimated genomic breeding value,GEBV）;比较不同情况下使用两种G阵的GEBV预测准确性。结果表明,在不同遗传力及QTL数下,不对新型G阵使用A₂₂阵加权就能达到常规G阵使用A₂₂阵加权时的GEBV预测准确性。在系谱部分缺失时,新型G阵不加权较常规G阵加权时GEBV预测准确性高。证明,在系谱有部分缺失时,新型G阵对多品种GEBV的预测有一定优势。     

The value of incorporating carcass trait phenotypes in terminal sire selection indexes to improve carcass weight and quality of heavy lambs

Genetic selection for carcass traits is paramount to maximize the profitability and long‐term sustainability of any meat‐producing livestock species. The main objectives of this research were to evaluate the efficiency of indicator traits for the genetic improvement of lamb carcass traits and to determine the value of including carcass traits into terminal sire selection indexes for the Canadian sheep industry. The carcass traits included hot carcass weight (HCW), fat depth at the GR site (FATGR) and average carcass conformation score (AVGCONF), and were measured on heavy lambs (slaughter age less than 365 days and HCW greater than 16.3 kg) in commercial abattoirs. Growth traits were found to be moderately efficient indicator traits for the genetic improvement of HCW but selection on ultrasound traits was necessary to substantially improve the carcass quality traits (FATGR and AVGCONF). Economic selection indexes were designed by adding various combinations of carcass traits into the Canadian Sheep Genetic Evaluation System terminal indexes. Records measured on individuals and progeny were assumed to be the sources of information for live animal and carcass traits, respectively. The changes in index accuracy, efficiency and expected correlated response were used to assess the value of their inclusion. HCW was found to have a large economic value, and its inclusion into terminal selection indexes was expected to substantially increase their accuracy (0.08–0.12 points) and efficiency (20%–30%). However, further including FATGR (measured 110 mm from the carcass midline over the 12th rib) and AVGCONF had little impact on the accuracy (≤0.03) and efficiency (1%–7%) of the proposed indexes. Thus, the inclusion of carcass traits into the existing terminal selection indexes could be beneficial for the genetic improvement of HCW, but further research is needed to determine optimal methods of increasing carcass fatness and muscularity.