Chinese Rural Comprehensive Reform: Theoretical Innovation,Key Contradictions and Countermeasures

As a systematic project,Chinese rural comprehensive reform(hereinafter referred to as "the reform") involved multiple dimensions such as rural governance,economy,culture,society and ecology,which laid a solid foundation for the overall reform in China.Western rural development theory had been proved to be insufficient to support Chinese rural reform.Therefore,theoretical innovation became urgent in the fields of rural governance,government functions,public finance and rural-urban integration etc.In recent years,Chinese rural comprehensive reform had been adjusting itself to the requirements of the "new normal".And during the process of agricultural modernization,the bottlenecks included the contradictory relationships between reform,development and overall stability,agricultural simplification and industrial diversification,economic development and environmental protection,rapid development of urban areas and slow progress of rural areas,grassroots governance and democratic supervision etc.Proper countermeasures would help to settle the above contradictions.     

吉林蛟河近熟林树种多样性格局组建机制研究

植物种在群落多样性格局组建过程中所起的作用一直是生态学重点关注的问题。2010 年在吉林蛟河建立面 积为21.12 hm2 的近熟林监测样地,样地中记录到DBH 1 cm 木本植物32 405 株, 共计50 种木本植物。利用单物 种-面积关系模型分析了样地内30 种木本植物对局域群落多样性格局的影响,利用完全空间随机化模拟计算植物 对局域多样性促进或抑制的显著性程度。研究结果表明:1)由于ISAR 模型没有考虑竞争的非对称性,在相同取样 面积下,同一树种的mISAR 值普遍低于ISAR 值。不同树种的mISAR 曲线更加分散、区分度更为明显,且具有明显 的尺度依赖性。2)在0 ~50 m 空间尺度上,簇毛槭、黑樱桃、翅卫矛、稠李、大果榆、花楷槭、毛榛和青楷槭为多样性 促进种;水榆为中性种;红松、色木槭、胡桃楸在绝大多数空间尺度上表现为抑制种;其余树种绝大多数在小尺度上 表现为促进种。3)在中小尺度上,促进种决定了局域群落多样性格局组建; 在较大尺度上,促进种和中性种共同作 用于群落多样性格局的组建,并且随机过程的影响相对更强。因此,促进种和抑制种所代表的确定性过程与中性 种所代表的随机过程共同作用于森林群落多样性格局构建过程, 并且二者起作用的空间尺度不同。      

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。     

黄连及黄连须、黄连茎叶体外抗氧化活性的谱效关系研究

测定黄连与黄连须、黄连茎叶主要生物碱含量并建立高效液相(HPLC)指纹图谱,分析其抗氧化活性的谱效关系。采用HPLC分析比较黄连及黄连须、黄连茎叶中小檗碱、表小檗碱、药根碱、黄连碱、巴马汀含量差异并建立指纹图谱,通过羟自由基(·OH)、1,1-二苯基-2-三硝基苯肼(DPPH)自由基、2,2-联氮基双(3-乙基苯并噻唑啉-6-磺酸)(ABTS)自由基体外清除试验与总还原力试验评价其体外抗氧化活性差异,应用Pearson相关系数法分析HPLC指纹图谱与抗氧化活性的谱效关系。结果发现小檗碱、巴马汀含量为黄连>黄连茎叶>黄连须;药根碱、黄连碱和表小檗碱含量为黄连>黄连须>黄连茎叶;总还原力为黄连>黄连茎叶>黄连须,·OH、DPPH、ABTS·+自由基清除力为黄连茎叶>黄连>黄连须;总还原力与各峰均有较强相关性,·OH、DPPH、ABTS·+自由基清除力与4号峰相关性较强。说明黄连茎叶体外抗氧化活性较强,黄连须与黄连茎叶均有一定药用开发价值。     

青海扁茎早熟禾混播草地生产性能与种间关系的研究

为了探究早熟禾混播草地种间关系与生产特征,使用‘青海’中华羊茅（Festuca sinensis ‘Qinghai’）、'青牧1号’老芒麦（Elymus sibiricus ‘Qingmu No.1’）、‘同德’小花碱茅（Puccinellia tenuiflora ‘Tongde’）分别与‘青海’扁茎早熟禾（Poa pratensis var. anceps Gaund.‘Qinghai’）混播,在海北州西海镇开展了植株形态特征、生物量积累和分配、混播草地养分特征等研究。结果表明：使用老芒麦与早熟禾混播具有较高的生产性能。该处理相较于老芒麦单播草地的粗蛋白与总磷含量,分别提高7.51%与14.50%。相对饲用价值较早熟禾单播草地提高34.12%。因此,为解决青海扁茎早熟禾单播草地生产力不足的问题可以选用老芒麦与早熟禾进行混播。使用碱茅与早熟禾混播具有较高的种间相容性,因此碱茅与早熟禾混播具有较高的群落稳定性与产量稳定性。选用碱茅与早熟禾进行混播可以用于建植以生态治理为目的的混播草地。     

New Algorithms for Data Discretization Based on Rough Set Theory

The discretization of real values is always one of the key problems to be solved in the domain of machine learning for its great contribution to speeding up the followed learning algorithms, cutting down the real demand of algorithms on running space and time, and improving the clustering capability of the ultimate learning results. The basic characteristics and framework of discretization approaches based on rough set model are analyzed at first, then the different measurements of the importance of candidate cuts are discussed and researched. Two new heuristic algorithms are put forward to finally select the useful cuts from a candidate set. The selected cuts of the two algorithms will adequately maintain the discernible relation of information systems for their full considering the specialty of rough set, which perfectly embodies the advantages of this theory. Moreover, excellent discretization results may be expected through these heuristic algorithms.