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1.
Goodness of fit of biplots and correspondence analysis   总被引:2,自引:0,他引:2  
Gabriel  K. Ruben 《Biometrika》2002,89(2):423-436
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Nonlinear biplots   总被引:1,自引:0,他引:1  
GOWER  J. C.; HARDING  S. A. 《Biometrika》1988,75(3):445-455
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用GGE双标图分析甘蔗品种性状稳定性及试点代表性   总被引:1,自引:0,他引:1  
算术平均法经常被用于评估甘蔗品种产量的稳定性和适应性,并用方差分析来估计区域试验的试验误差.然而,地点和年份的差异使品种的差异难以得到准确评估.为客观评价甘蔗品种的稳定性和适应性,本研究采用GGE双标图对2008-2009年我国甘蔗区域试验5个试点中的7个甘蔗品种试验数据进行分析.结果表明:福农30号为蔗茎产量高且稳产性高的品种,粤甘18号为含糖量高且性状稳定的品种,福农28号和云蔗99-91为高蔗糖分且性状稳定的品种,粤甘16号的蔗茎产量和含糖量最高,但稳定性一般;在各试点中,福建漳州和广东遂溪的代表性和鉴别力较强.GGE双标图分析为客观评价甘蔗参试品种的丰产性和稳定性提供了直观、有效的手段,为甘蔗新品种的鉴定与推广提供了科学依据.  相似文献
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燕麦属不同倍性种质资源抗旱性状评价及筛选   总被引:1,自引:0,他引:1       下载免费PDF全文
盆栽控水试验测定了燕麦属13个二倍体、7个四倍体和5个六倍体物种共106份材料的主要抗旱性状表现,用GGEbiplot软件的主成分分析法比较了各性状之间的关系及其对抗旱鉴定的贡献,综合评价燕麦属野生资源在燕麦抗旱育种中的潜能和利用价值。结果表明,干旱处理后植株的死亡率和萎蔫程度与可溶性糖含量的增加幅度呈显著正相关关系(r>0.5, P<0.05),而胁迫后植株的丙二醛(MDA)含量和植株相对电导率与抗旱能力也明显相关(r>0.5, P<0.01)。综合考虑抗旱的相关形态和生理指标,筛选到二倍体Avena atlanticaA. wiestii A. strigosa,四倍体种A. murphyi,以及六倍体栽培燕麦A. sativa和普通野燕麦A. fatua的部分居群具有优良的综合抗旱性。基于A. wiestii,A. strigosaA. murphyi与栽培燕麦较近的亲缘关系,其抗旱性可通过远缘杂交的方式在普通燕麦育种中加以利用。而对于具有明显抗旱优势的野生二倍体材料A. atlantica,则可通过克隆其抗旱基因进而遗传转化的方法将其应用于栽培燕麦的抗旱性改良。同时该研究表明燕麦的抗旱性不具有种属和分布区域的特异性,因此其抗旱性并非简单的由基因或环境决定,在确定抗旱材料时需要对个体进行全面的抗旱性评价和鉴定,以期在利用抗旱材料或通过克隆抗旱基因来改善干旱地区生态环境的实践中能更准确和有效。  相似文献
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用AMMI模型双标图对国家第六轮甘蔗品种区域试验5个试点的12个甘蔗品种试验数据进行分析,研究甘蔗区试中不同品种的产量稳定性问题。结果表明,参试品种的6个产量性状在品种间和地点间差异显著,品种与地点的互作效应差异显著;FN30、YG16蔗茎产量和含糖量高,稳定性强,属于高产、稳产性较好的品种。AMMI模型很好地解释了甘蔗品种产量性状的基因型效应、环境效应和GE互作效应。  相似文献
7.
Summary A desirable genotype is a genotype performing well in a chosen set of environments. Three methods for identification of desirable genotypes were assessed in two cabbage data sets: regression analysis, multidimensional scaling of dissimilarity matrices, and biplot of deviation matrices. Using the regression approach is not recommended mainly for two reasons: (1) it is difficult to identify the desirable genotypes since one has to unify three parameters into one decision; (2) the regression method failed to identify the most desirable genotypes in one of the data sets. Multidimensional scaling and the biplot method were in accordance with each other and with the mean tables when different subsets where compared. Consequently, they were considered more adequate for identifying desirable genotypes. In cases where rank 2 approximation of the analysed matrix was justified, the biplot revealed more information in one display and was, therefore, considered particularly useful in plant breeding for larger target areas.  相似文献
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Due to the universal presence of genotype by environment interactions, understanding the pattern of quantitative trait loci (QTL)-by-environment interactions is a prerequisite for effective marker-assisted selection. In this report, we describe a biplot approach for investigating QTL-by-environment patterns. This approach involves two steps. It starts with a two-way table containing effects of individual QTLs in individual environments for the trait under investigation. This table is decomposed into principal components via singular value decomposition, and the first two principal components are plotted for both QTLs and environments to form a biplot. The resulting QQE biplot contains information on QTL main effects (Q) and QTL-by-environment interactions (QE). A QQE biplot displays the QTL-by-environment patterns and allows visualization of: (1) the magnitude of the effect of a QTL, (2) the average effect of a QTL and its stability across environments, (3) the effects of a QTL in individual environments, (4) the similarity/dissimilarity among QTLs in effect and response to the environments, (5) the similarity/dissimilarity among environments in modulating QTL effects, (6) any differentiation of mega-environments, and (7) the combination of QTL alleles for maximum/minimum expression of the trait for each environment or mega-environment. A case study is provided using the QTL-by-environment two-way table for barley yield.  相似文献
10.
Competing events concerning individual subjects are of interest in many medical studies. For example, leukemia-free patients surviving a bone marrow transplant are at risk of developing acute or chronic graft-versus-host disease, or they might develop infections. In this situation, competing risks models provide a natural framework to describe the disease. When incorporating covariates influencing the transition intensities, an obvious approach is to use Cox's proportional hazards model for each of the transitions separately. A practical problem then is how to deal with the abundance of regression parameters. Our objective is to describe the competing risks model in fewer parameters, both in order to avoid imprecise estimation in transitions with rare events and in order to facilitate interpretation of these estimates. Suppose that the regression parameters are gathered into a p x K matrix B, with p and K as the number of covariates and transitions, respectively. We propose the use of reduced rank models, where B is required to be of lower rank R, smaller than both p and K. One way to achieve this is to write B = AGamma(intercal) with A and Gamma matrices of dimensions p x R and K x R, respectively. We shall outline an algorithm to obtain estimates and their standard errors in a reduced rank proportional hazards model for competing risks and illustrate the approach on a competing risks model applied to 8966 leukemia patients from the European Group for Blood and Marrow Transplantation.  相似文献
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