动物遗传标记在品种聚类分析中的应用与发展

本文简要地介绍了动物遗传标记的发展历史和现状 ,从原始的毛色型标记到细胞和分子( DNA)水平的标记。比较了

河北省2007年蔬菜种植品种结构优化分析

为优化河北省蔬菜种植品种结构,促进各大类蔬菜合理种植,从河北省蔬菜种植品种现状入手,将河北省11个地(市)区的蔬菜产业进行聚类,运用灰色关联模型分析品种蔬菜年产值的关联度,并进行了排序,利用G(1,1)预测模型对各品种蔬菜产量的发展趋势进行了预测。结果显示,河北省蔬菜产业区域布局不明显,规模效益低下。从而提出了优化蔬菜业发展的区域布局、提高规模效益、增加科技投入、优化种植品种结构的对策。

Genetic Diversity Analysis and Fingerprint Construction of Major Mango Cultivars in China

[Objective] The genetic diversity of major mango cultivars in China was analyzed by using SSR markers, and their fingerprints were constructed so as to provide theoretical basis for germplasm innovation and breeding of mango. [Method] With 115 pairs of SSR primers, genetic diversity analysis and cluster analysis were performed for 30 mango cultivars, among which the genetic relationships were analyzed. [Result] Total 64 pairs of polymorphic primers were screened out from the 115 pairs of primers, and total 343 bands were amplified from the 30 cultivars with 73.2% of polymorphic bands. On average, 3.9 allelic loci were detected for each pair of primers with genetic diversity index of 0.5, Shannon＇s diversity index of 1.00 and polymorphism information content of 0.49, indicating higher genetic diversity. The cluster analysis showed that the 30 major cultivars could be classified into four categories. The first category included 14 cultivars; the second category included 11 cultivars, most of which were introduced from abroad; the third category included 4 cultivars, Le., Miansan, Parayinda, Baiyu and Hongxiangya： the fourth category included only one cultivar Maqiesu.By using 7 pairs of SSR markers, i.e., M42, M49, M54, M55, M96, M99 and M103, digital fingerprints were constructed for the 30 mango cultivars. [Conclusion] The 30 mango cultivars present more complex genomic genetics and abundant genetic information, and they have higher genetic diversity.

Principal Component Analysis and Cluster Analysis of Fagopyrum tataricum Varieties(Lines)

In order to reveal the genetic differences and agronomic traits of Fagopy-rum tataricum_ varieties （lines） intuitively, explore good resources and avoid the blindness of parent selection during the breeding process, six primary agronomic traits of 45 F. tataricum_ varieties （lines） that came from the eleven buckwheat breeding departments across the country were analyzed with principal component analysis and cluster analysis. The results of principal component analysis showed that the six agronomic traits could be simplified into three principal components, and the cumulative contribution rate reached 83%. The results of cluster analysis showed that the 45 F. tataricum varieties （lines） were classified into four groups：high stalk, medium yield and smal grain type, medium stalk, high yield and large grain type, medium stalk, low yield and smal grain type and high stalk, medium yield and medium grain type. Among them, performance of comprehensive trait of the second type was better than that of the other types. Thus, the F. tataricum_va-rieties （lines） that were classified into the second type could be considered as good varieties （lines） or breeding materials. The genetic differences among F. tataricum_varieties （lines） had no necessary correlations with origin and geographical distance. ln addition to complementary traits and geographical distance, genetic distances （dif-ferent populations） should be taken into consideration during parent selection in cross breeding.

Analysis of Genetic Relationship of 64 Local Varieties of Morus atropurpurea Roxb.in Guangdong Based on ISSR Marker

[Objective] The study aimed at analyzing the genetic relationship of 64 local varieties of Morus atropurpurea Roxb.from the Pearl River Basin in Guangdong and Guangxi Provinces.[Method] Genetic diversity of 64 local varieties of Morus atropurpurea Roxb.was analyzed by ISSR molecular marker technique.The genetic relationship among these local varieties was researched by UPGMA method based on the genetic similarity coefficient.[Result] 128 bands were amplified from the total DNA of 64 local varieties using 13 ISSR primers,of which 109 bands accounting for 85.15% were polymorphic.It meant that there was rich genetic diversity among the local varieties tested.The genetic similarity coefficients among 64 local varieties were relatively high with a range of 0.500 0-0.929 7.In addition,64 local varieties were divided into two categories and the second could be further divided into 10 subcategories.It was suggested that the genetic relationship of 64 local varieties of Morus atropurpurea Roxb.based on ISSR marker analysis has a certain correlation with geographical distribution.[Conclusion] ISSR marker technology was suitable for evaluating genetic relationship and genetic diversity of local varieties of Morus atropurpurea Roxb.in Pearl River Basin,and could provide scientific basis for DNA fingerprinting and identification of varieties of Morus atropurpurea Roxb.

ISSR Analysis on Genetic Diversity of Local Varieties of Chinese Hu mulberry(Morus L.)

[Objective] The aim was to study on the genetic diversity of local varieties of Chinese Hu mulberry (Morus L.). [Method] The genetic diversity of 141 copies of Hu mulberry varieties was analyzed by ISSR molecular markers. [Result] 12 ISSR primers had amplified a total of 90 amplified,of which 57 bands were polymorphic,and the polymorphic rate was 63.33%. The genetic similarity coefficients of 141 Hu mulberry germplasm resources varied from 0.633 3 to 1.000 0 with the average of 0.483 35,indicating that there was difference on genetic diversity among different varieties of Hu mulberries. A dendrogram of all 141 Hu mulberry varieties based on the genetic similarity coefficients using ISSR molecular markers was generated by UPGMA cluster method. Clustering of the 141 Hu mulberry varieties did not correspond with the conventional classification involving differences in style,leaf,branch,fruit and other morphological or agronomical characters. [Conclusion] Four subgroups clearly represented the genetic relationships in the 141 accessions which were benefit for the variety improvement and germplasm resource conservation.

Physicochemical Properties of Banana Flour as Influenced by Variety and Stage of Ripeness： Multivariate Statistical Analysis

Physicochemical properties of banana flour （BF） were studied in two varieties （Cavendish and Dream） and two stages of ripeness （green and ripe）. BF＇s were analyzed for pH, total soluble solids （TSS）, water holding capacity （WHC） and oil holding capacity （OHC） at 40℃, 60 ℃ and 80 ℃, color values L＊, a＊ and b＊, back extrusion force and viscosity. Physicochemical data were analyzed by Multivariate Analysis of Variance, discriminant analysis and cluster analysis. All statistical analyses showed that physicochemical properties of BF prepared from different variety and stage of ripeness were different from each other. Viscosity, WHC40, WHC60 and TSS were recommended methods for discrimination between banana flour prepared from the two varieties, whilst viscosity, WHC60 and WHC80 were suggested for differentiation of banana flour prepared using green and ripe banana.

Screening of Oilseed and Vegetable Dual-purpose Rapeseed Combinations Based on Grey Relation Analysis and Cluster Analysis

To screen out the rapeseed(Brassica napus) combinations that are suitable for the production of both oilseed and vegetable, we carried out a field experiment for 11 new combinations(hybrids) of rapeseed and then performed grey relation analysis and cluster analysis on 12 traits including the yield and quality of young stem,seed yield, and several agronomic traits after harvesting of young stem. The results showed that A11, A7, and A4 had higher main stalk yield than other combinations.The young stem/leaf ratios of A11, A5, A7, A4, A3, and A1 were in line with the quality requirements for young stem commodity. The soluble sugar content of A2,A8, and A10 was higher than that of CK(Fengyou 737), and the seed yields of A4,A3, A2, A1, A5, and A6 were higher than that of CK. The 11 rapeseed combinations were classified into 3 grades by grey relation analysis and cluster analysis. Two combinations, A4(Y20A×95C4R) and A11(3194A×09-5R), showed the weighted relation degrees higher than 0.95, which were clustered into grade I by cluster analysis. They had good agronomic traits and good performance as both oilseed and vegetable. A8, A5, A3, A7, A2, A10, A6, and A1 were clustered into grade Ⅱ and A9 into grade Ⅲ. In this study, the oilseed and vegetable dual-purpose rapeseed combinations were screened out based on grey relation analysis and cluster analysis,which can provide reference for the breeding of oilseed and vegetable dual-purpose rapeseed combinations.