Single step genomic evaluation for female fertility in Nordic Red dairy cattle

Joint Nordic (Denmark, Finland, Sweden) genetic evaluation of female fertility is currently based on the multiple trait multilactation animal model (BLUP). Here, single step genomic model (ssGBLUP) was applied for the Nordic Red dairy cattle fertility evaluation. The 11 traits comprised of nonreturn rate and days from first to last insemination in heifers and first three parities, and days from calving to first insemination in the first three parities. Traits had low heritabilities (0.015–0.04), but moderately high genetic correlations between the parities (0.60–0.88). Phenotypic data included 4,226,715 animals with records and pedigree 5,445,392 animals. Unknown parents were assigned into 332 phantom parent groups (PPG). In mixed model equations animals were associated with PPG effects through the pedigree or both the pedigree and genomic information. Genotype information of 46,914 SNPs was available for 33,969 animals in the pedigree. When PPG used pedigree information only, BLUP converged after 2,420 iterations whereas the ssGBLUP evaluation needed over ten thousand iterations. When the PPG effects were solved accounting both the pedigree and the genomic information, the ssGBLUP model converged after 2,406 iterations. Also, with the latter model breeding values by ssGBLUP and BLUP became more consistent and genetic trends followed each other well. Models were validated using forward prediction of the young bulls. Reliabilities and variance inflation of predicted genomic breeding values (values for parent averages in brackets) for the 11 traits ranged 0.22–0.31 (0.10–0.27) and 0.81–0.95 (0.83–1.06), respectively. The ssGBLUP model gave always higher validation reliabilities than BLUP, but largest increases were for the cow fertility traits.     

基于Harris和卡尔曼滤波的农业机器人田间稳像算法

针对田间颠簸环境影响农业机器人采集实时稳定图像问题，提出了基于Harris和卡尔曼滤波的农业机器人田间稳像算法。首先，利用摄像头获取田间抖动视频图像序列，进行图像子区域划分并计算各区域灰度均方差，进而确定各区域Harris角点阈值；通过自适应角点阈值设置，增加角点距离约束，完成图像角点检测。然后，对检测出的角点进行光流跟踪，计算出帧间运动估计参数。最后，利用自适应卡尔曼滤波算法对运动估计参数进行平滑操作并动态调整滤波平滑性能，获得精确运动估计矢量。测试结果表明，改进后的Harris角点检测算法区域平均分布标准差减小；自适应卡尔曼滤波算法在保证平滑随机运动前提下，跟踪主动运动性能平均提升30.75个百分点；稳像后的图像峰间信噪比提升15.93%,单帧处理时间为25.66 ms,满足农业机器人30 f/s高速图像采集时同步稳像对实时性要求。     

喀斯特山区2个鲫鱼群体基于转铁蛋白的遗传多样性研究

为了解喀斯特山区2个不同鲫鱼群体在蛋白质水平的遗传多样性及其遗传差异,运用聚丙烯酰胺凝胶电泳方法对喀斯特山区2个群体鲫鱼的血清转铁蛋白电泳表型及多样性进行研究。结果表明:群体克隆多样性指数表现为草海鲫鱼(0.32)﹥红鲫(0.25,对照)﹥普安鲫鱼(0.13);3个鲫鱼群体的13个克隆由9个不同的等位基因产生,等位基因的频率分别为Tf~a0.144 9、Tf~b0.202 9、Tf~c0.036 2、Tf~d0.058 0、Tf~e0.007 2、Tf~f0.239 1、Tf~g0.014 5、Tf~h0.275 4、Tf~i0.029 0;普安鲫鱼与草海鲫鱼和红鲫无共享的基因型;普安鲫鱼与草海鲫鱼之间的遗传相似性指数较高(0.714 3),遗传距离较小(0.285 7)。总体来看,草海鲫鱼的克隆多样性水平较高,其转铁蛋白多样性程度较普安鲫鱼丰富;2个群体之间存在较近的亲缘关系,未达到遗传距离种的分化标准。     

基于LM算法的BP神经网络的电力负荷短期预测

清代书院课艺总集多为连续出版物，或具有连续出版物的刊行初衷。刊期短则一季，多则一年或数年。经费充足与否，会影响刊期。发表周期多为一年至五年，也有十余年的。用稿率以10%~20%居多，偶见“关系稿”。时文的用稿标准是“清真雅正”。题目多为官师所拟。一般全文刊登，也偶有“论点摘编”。多经润色，并附录评点。有的以袖珍本刊行，有的宣称“翻刻必究”，标出定价，附载广告。稿费已在膏火费中预支，优秀作品可被转载。从本质属性和诸多要素来看，书院课艺总集实开今日“大学学报”、“学术集刊”之先河。     

人工合成小麦紫色胚芽鞘的遗传定位分析

为探明小麦花青素色素沉积的关键位点,以167份重组自交系群体为材料,利用已构建的高密度遗传图谱对来源于硬粒小麦(AABB)和节节麦亚种tauschii(DD)杂交后所得的人工合成小麦SHW-L1中控制紫色胚芽鞘的基因进行遗传定位。同时利用目标性状关联遗传区段对SHW-L1及其亲本进行基因型鉴定。结果表明:目标性状在重组自交系群体中表现为单基因遗传,且被定位于7D染色体,其关联遗传区段在异源六倍化过程中有遗传位点缺失。     

不同来源花生品种的ISSR分析及亲缘关系研究

利用13对ISSR引物对28个栽培种花生品种进行PCR扩增,研究这些品种的DNA多态性及其亲缘关系。结果表明,有7对引物检测到明显的多态性,从28个花生品种中扩增出90条带,其中多态性带达到79条,多态性比率为87.8%,平均每个引物可扩增出12.86条带,11.29条为多态性条带。品种间的遗传相似系数值在0.411~0.800之间,平均为0.620。在UPGMA聚类分析简单匹配系数值为0.57处,可把28个花生品种分成3个品种群。由此表明,这些不同来源的花生品种具有较高的DNA多态性,亲缘关系不同。     

Research and Design of Simulative System of Elevators Based on Java

设计了控制电梯运行的调度算法；其次，采用面向对象语言编写程序模拟电梯运行，其中使用双缓冲技术来解决电梯图片在刷新过程中出现的闪烁现象；最后，测试该系统的正确性和合理性。     

结球甘蓝抽薹性遗传规律和QTL定位分析

以早抽薹‘S-1’与晚抽薹‘G-1’为亲本，构建F1、BC1、BC2和F2群体，采用植物数量性状主基因 + 多基因混合遗传模型分析法对结球甘蓝抽薹性状进行遗传分析，并采用SLAF-BSA方法对抽薹时间进行QTL定位分析。结果显示，结球甘蓝抽薹性状是由2对加性—显性—上位性主基因 + 加性—显性多基因遗传控制；主基因 + 多基因平均遗传率是93.41%。共检测到2个QTL，分别为2号染色体上的2.31 ~ 3.09 Mb和33.57 ~ 34.40 Mb，总长度为1.61 Mb。     

Relationship of Icelandic cattle with Northern and Western European cattle breeds,admixture and population structure

ABSTRACT

Icelandic cattle is believed to have been brought from Norway during the settlement of Iceland around AD 870-930. Previous research on genetic relationships has indicated that Icelandic cattle is most related to northern Nordic indigenous breeds. Using single nucleotide polymorphism genotype data from Icelandic cattle and 29 Northern and Western European cattle breeds, we studied relationships and admixture among these breeds, and assessed population structure in Icelandic cattle. Population structure analysis through principal component analysis, estimation of ancestry, and analysis of patterns of population splitting and mixing revealed that Icelandic cattle are most related to three Finncattle breeds (Eastern, Northern and Western Finncattle), and Swedish Mountain cattle. Icelandic cattle has very low levels of admixture. We observed very limited population structure in Icelandic cattle. The observed structure was due to variable sire contributions. Over 1000 years of almost complete isolation has made Icelandic cattle highly genetically distinct from other cattle breeds.