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index selection on seed traits under direct,cytoplasmic and maternal effects in multiple environments

Journal of Genetics and Genomics 2009年第1期36卷 41-49页

作者： Wenying Zhang Haiming Xu Jun Zhu Institute of Bioinformatics College of Agriculture and Biotechnology Zhefiang University Hangzhou 310029 China Institute of Plant Genetics and Breeding College of Agriculture Yangtze University Jingzhou 434025 China

Crop seeds are important sources of protein, oil, and carbohydrates for food, animal feeds, and industrial products. Recently, much attention has been paid to quality and functional properties of crop seeds. However, seed traits possess some distinct genetic characteristics in comparison with plant traits, which increase the difficulty of genetically improving these traits. In this study, diallel analysis for seed models with genotype by environment interaction （GE） effect was applied to estimate the variance-covariance components of seed traits. Mixed linear model approaches were used to estimate the genetic covariances between pair-wise seed and plant traits. The breeding values （BV） were divided into two categories for the seed models. The first category of BV was defined as the combination of direct additive, cytoplasmic, and maternal additive effects, which should be utilized for selecting stable cultivars over multi-environments. The three genetic effects, together with their GE interaction, were included in the second category of BV for selecting special lines to be grown in specific ecosystems. Accordingly, two types of selection indices for seed traits, i.e., general selection index and interaction selection index, were developed and constructed on the first and the second category BV, respectively. These proposed selection indices can be applied to solve the difficult task of simultaneously improving multiple seed traits in various environments. Data of crop seeds with regard to four seed traits and four yield traits based on the modified diallel crosses in Upland cotton （Gossypium hirsutum L.） were used as an example for demonstrating the proposed methodology.

关键词： index selection seed trait mixed linear model approach genotype by environment interaction

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维普期刊数据库

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The Grey Analysis, Kriging and selection index of Flower Yield in Rugosa Rose

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Agricultural Sciences in China 2007年第12期6卷 1420-1425页

作者： LI Yan-yan FENG Zhen ZHAO Lan-yong MO Zhen-hua ZHANG Bao College of Forestry Shandong Agricultural University Tai＇an 271018 P. R. China

The analysis of grey system, kriging interpolation, and integration selection index were employed to investigate the relationships between the flower yield/plant （FY） and 15 other quantitative traits of 20 rugosa rose cultivars. The result showed that： The grey relational grade （GRG） of the number of flowers/plant （NF）, the number of branches/plant （NB）, the width of floral bud （WB）, and the weight/flower （WF） to the FY were larger （〉 0.5）; FY improved with the increase of NF and NB. Moreover, the indirect selection of either trait could not achieve improvement of FY. It is necessary to improve FY by multi-trait selection. The integration selection index （ISI） equation of FY was established with the characters NF, NB, WB, and WF： I= 0.3187x1 - 318.6x2 ＋ 670.1 x4 ＋ 6.3xa, index heritability = 0.8014, selective response of the integration breeding value = 245.8811. This will provide a theoretic basis for the genetic breeding of rugosa rose.

关键词： rugosa rose grey relational grade quantitative traits kriging interpolation index selection

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维普期刊数据库

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Genetic evaluation of twenty seed sources of Asparagus racemosus

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Journal of Forestry Research 2011年第1期22卷 39-42页

作者： Parveen A Kumar H. S. Ginwal Division of Genetics and Tree Propagation Forest Research Institute PO IPE Kaulagarh Road Dehradun 248 195 Uttarakhand India

A field trial of 20 seed sources of Asparagus racemosus was conducted at the Forest Research Institute, Dehradun, Uttarakhand, India to evaluate their performance of different economic traits. Genotypic variance, phenotypic variance, genotypic coefficient of variance （GCV） and phenotypic coefficient of variance （PCV） for number of shoots, shoot height, shoot weight, number of roots, root length, root diameter and root weight were calculated. Maximum genotypic and phenotypic variance was observed in shoot height among the shoot - related traits and root length among the root - related traits. For the shoot height, genotypic variance, phenotypic variance, genotypic coefficient of variance, phenotypic coefficient of variance were 231.80, 3924.80, 61.26 and 1037.32, respectively, where those of the root length were 9.55, 16.80, 23.46 and 41.27, respectively. The maximum genetic advance and genetic gain were obtained for shoot height among the shoot-related traits and root length among the root-related traits. index values were developed for all the seed sources based on the four most important traits, and Panthnagar （Uttrakhand）, Jodhpur （Rajasthan）, Dehradun （Uttarakhand）, Chandigarh （Punjab）, Jammu （Jammu and Kashmir） and Solan （Himachal Pradesh）, were promising seed sources for root production.

关键词： Asparagus racemosus genetic advance genetic gain heritability index selection seed sources

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维普期刊数据库

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Genetic Determination and selection of Sugarcane Families

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Agricultural Science & Technology 2017年第1期18卷 5-11页

作者： Shiyun TANG Rongzhong YANG Lunwang WANG Baoqing ZHANG Yuchi DENG Cuifang YANG Shah ZHOU Wu XIAN Fang TAN Hongwei TAN Litao YANG State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources/Agricultural College Guangxi University Nanning 530005 China Sugarcane Research Institute Guangxi Academy of Agricultural Sciences/Sugarcane Research Center Chinese Academy of Agricultural Sciences/Key Laboratory of Sugarcane Biotechnology and Genetic Improvement （Guangxi） Ministry of Agriculture/ Guangxi Key Laboratory of Sugarcane Genetic Improvement Nanning 530007 China

Sugarcane family evaluation on 108 hybridized combinations generated during 2013-2014 was conducted by measuring the main traits of plant and ratoon crops. Stalk height, stalk diameter, stalk number per stool and brix were investigated in both plant cane and ratoon cane, while stalk weight per stool and brix weight per stool were measured only in plant cane. Genetic variation and genetic parameters of all traits were analyzed, and the families were evaluated based on comprehensive index method. The results showed that the stalk height of both plant and ratoon, stalk diameter of both plant and ratoon, stalk number per stool of plant, brix of both plant and ratoon, stalk weight per stool and brix weight per stool were sig- nificantly different among the families. Stalk height, stalk diameter, stalk number per stool of plant crop showed higher level of broad-sense heritability, genetic variation coefficient and relative genetic advance than those in ratoon crop. But there were no significant differences in broad-sense heritability, genetic variation coefficient and relative genetic advance of brix between plant and ratoon crops. Analysis of phenotypic and genotypic correlation showed that stalk weight per stool was significantly correlated with brix weight per stool, Fifteen elite families including Zhanzhe 74-141× CP72-1210, Guitang 05-3081×Yuetang 91-976, Yunzhe 02-588×ROC22, Funong 39× Guitang 03-1229, Guitang 02-901×Guitang 03-2357, Guitang 05-2743×Guitang 03- 1229, Guitang 92-66×ROC22, Dezhe 93-88×ROC22, Guitang 05-3445×Guitang 03- 2309, Yuetang 00-319×CP72-1210, Guitang 03-3089×ROC22, Yuetang 91-976×CP84- 1198, Yuefu 90-95 ×CP72-1210, Yunzhe 99-601×Guitang 00-122, Yuetang 00-236× ROC22 were selected based on comprehensive index method, and stalk weight per stool and brix weight per stool showed greater genetic gain. The families selected based on comprehensive index were not completely the same as the families selected by brix weight per stool, the rank correlati

关键词： Sugamane Family Genetic parameter index selection

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维普期刊数据库

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ROLAP环境中改进的视图物化和索引选择方法

ROLAP环境中改进的视图物化和索引选择方法

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第二十二届中国数据库学术会议

作者：林琳王新军山东大学计算机科学与技术学院 61938部队

1引言在OLAP系统中,多维模型和概要视图是最常用的查询优化方法。但是,随着属性维数的增长,概要视图和联合索引的存储开销与计算开销将呈爆炸

关键词： index selection View materialization Dprime Nested table

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