恩格斯生态自然观对我国生态文明建设的启示

人与自然之间的关系问题是生态环境的根本问题,人既有自然属性又有社会属性,人与自然界既对立又统一,人们改造与利用自然界必须遵循客观发展规律,实现人与自然和谐共处。恩格斯的生态自然观对实现我国人与自然的和谐共处,建设美丽生态中国具有重要的现实意义。因此,要以恩格斯生态自然观为指导,积极开展生态文明教育,树立环保意识;大力倡导绿色消费模式,推动绿色发展。     

秸杆栽培食用菌拮抗菌株的鉴定及混菌发酵条件的优化

从海洋泥样和食用菌发酵料中分离出了32个菌株,从中筛选出了既具有较高的纤维素酶活性又具有对青霉(Penicillium spp)、木霉(Trichoderma spp.)、根霉(Rhizopus)、曲霉(Aspergillus spp)、毛霉(Mucro)较强拮抗能力的W-4、W-10、N-14三个菌株。经鉴定W-4、W-10分别属于放线菌中黄色节杆菌(Arthrobacter flavescens)和石灰壤诺卡氏菌(Nocardia calcarea),N-14属于细菌中的乳酸乳杆菌(Lactobacillus lactis)。通过正交试验对上述3个菌株混合发酵条件进行优化,确定在温度35℃、时间36h、pH7.5、装液量60ml/250ml时为最适发酵条件。在此条件下3个菌株混合发酵液纤维素酶活力仍然很高。同时混合发酵液对青霉、曲霉、毛霉、木霉、根霉的拮抗能力分别为单菌株发酵液的1.79倍、1.36倍、1.29倍、1.04倍、1.07倍。     

Drought Stress in Grain Legumes during Reproduction and Grain Filling

Water scarcity is a major constraint limiting grain legume production particularly in the arid and semi‐arid tropics. Different climate models have predicted changes in rainfall distribution and frequent drought spells for the future. Although drought impedes the productivity of grain legumes at all growth stages, its occurrence during reproductive and grain development stages (terminal drought) is more critical and usually results in significant loss in grain yield. However, the extent of yield loss depends on the duration and intensity of the stress. A reduction in the rate of net photosynthesis, and poor grain set and grain development are the principal reasons for terminal drought‐induced loss in grain yield. Insight into the impact and resistance mechanism of terminal drought is required for effective crop improvement programmes aiming to improve resistance to terminal drought in grain legumes. In this article, the impact of terminal drought on leaf development and senescence, light harvesting and carbon fixation, and grain development and grain composition is discussed. The mechanisms of resistance, management options, and innovative breeding and functional genomics strategies to improve resistance to terminal drought in grain legumes are also discussed.     

不同林龄枫香子代性状变异与家系选择

对布设在安徽祁门县的首批84个枫香子代测定林，分析比较了9年生与3年生两个不同林龄胸径、树高性状的遗传力和遗传增益等参数，并开展了优良家系选择。结果表明不同时期入选的家系名称、数量及名次出现较大差异，大部分家系胸径、树高性状的家系遗传力、单株遗传力及遗传增益等参数估值，表现为随林龄增大而降低。研究结果为枫香良种选育的适宜林龄提供了参考依据。     

辽葱5号的选育

辽葱5号是以玉田县五叶齐大葱为母本、朝阳鳞棒葱为父本进行有性杂交，对杂交后代进行季节穿梭选择的方法，即用3年时间进行了3个世代的以株为单位的混合选择及以株系为单位的选择，最后留选1个经济性状整齐、生殖性状稳定的雄性可育母系，经系内混合授粉育成的大葱新品种。该葱生长旺盛、秋葱产量高、葱白较长、叶片直立性好、抗紫斑病能力较强，适合长季节栽培，生育期在120d以上，属中晚熟品种。冬贮干葱可食用率高，适宜北方各省、区种植。     

具有交易费用和马氏调制的均值-方差组合选择

研究了均值-方差准则下，最优投资组合选择问题.投资者为了增加财富它可以在金融市场上投资.金融市场由一个无风险资产和n个带跳的风险资产组成，并假设金融市场具有马氏调制，买卖风险资产时，考虑交易费用.目标是，在终值财富的均值等于d的限制下，使终值财富的方差最小，即均值-方差组合选择问题.应用随机控制的理论解决该问题，获得了最优的投资策略和有效边界.     

基于粒子群算法的再入式飞行器再入走廊计算方法研究

为提高我国食品质量安全水平，对小型、分散的单个供应商和一个制造商构成的食品供应链中，制造商对原材料和最终食品进行质量检测的情况，建立了以供应商和制造商各自的质量水平为决策变量的优化模型，分析了最优质量水平的影响因素和影响效应.并依据结论提出相应建议，如提高消费者对优劣食品的识别能力，发挥制造商在供应链中的监督检验作用等.     

Landscape Zonation, benefit functions and target-based planning: Unifying reserve selection strategies

The most widespread reserve selection strategy is target-based planning, as specified under the framework of systematic conservation planning. Targets are given for the representation levels of biodiversity features, and site selection algorithms are employed to either meet the targets with least cost (the minimum set formulation) or to maximize the number of targets met with a given resource (maximum coverage). Benefit functions are another recent approach to reserve selection. In the benefit function framework the objective is to maximize the value of the reserve network, however value is defined. In one benefit function formulation value is a sum over species-specific values, and species-specific value is an increasing function of representation. This benefit function approach is computationally convenient, but because it allows free tradeoffs between species, it essentially makes the assumption that species are acting as surrogates, or samples from a larger regional species pool. The Zonation algorithm is a recent computational method that produces a hierarchy of conservation priority through the landscape. This hierarchy is produced via iterative removal of selection units (cells) using the criterion of least marginal loss of conservation value to decide which cell to remove next. The first variant of Zonation, here called core-area Zonation, has a characteristic of emphasizing core-areas of all species. Here I separate the Zonation meta-algorithm from the cell removal rule, the definition of marginal loss of conservation value utilized inside the algorithm. I show how additive benefit functions and target-based planning can be implemented into the Zonation framework via the use of particular kinds of cell removal rules. The core-area, additive benefit function and targeting benefit function variants of Zonation have interesting conceptual differences in how they treat and trade off between species in the planning process.     

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.     

国外生猪育种体系简析及对我国生猪育种的几点思考

选择是生猪育种的核心,而准确地选择和选种依赖于完善和成熟的育种体系。国际养猪发达国家(国际育种企业)对育种体系不断完善,长期进行生长、繁殖和肉品质等各类性状的表型测定,运用多场联合评估和基因组选择等方法不断提高遗传评估的准确性,不断挖掘新的育种性状,并进行测定、评估和选育,实现了种猪群体持续的遗传改良和综合性能的不断提升。本文对欧美发达国家(国际育种企业)的生猪育种技术体系进行了综述,以期为我国的生猪育种工作提供参考,并促进我国生猪种业的创新发展。