[Objective] The paper aimed to analyze genetic diversity and genetic relationship of large fruited tomato core germplasms based on genotypic value.[Method] Taking 55 large fruited tomato core germplasms as tested mate...[Objective] The paper aimed to analyze genetic diversity and genetic relationship of large fruited tomato core germplasms based on genotypic value.[Method] Taking 55 large fruited tomato core germplasms as tested materials, the genetic diversity of seven agronomic traits was analyzed, and the correlation between traits and genetic relationship between germplasms were analyzed based on genotypic effect value.[Result] The diversity indexes of seven agronomic traits were 3.98, 3.97, 3.99, 3.99, 3.97, 3.98 and 3.87, respectively, indicating there were rich genetic diversities in large fruited tomato core germplasms. Correlation analysis of traits was conducted based on genotypic effect value. The results showed that there was extremely significant positive correlation between leaf length and leaf width, and the correlation coefficient was 0.66. There was extremely significant positive correlation between fruit length and fruit width, with a correlation coefficient of 0.49. There was extremely significant positive correlation between weight per fruit and fruit width, with a correlation coefficient of 0.46. The genetic distance between large fruited tomato core germplasms was calculated based on the phenotypic value of traits. When the distance was 5, 55 large fruited tomato core germplasms were divided into three groups. The genetic distance between large fruited core germplasms tomato was calculated based on genotypic predictive value of traits. When the distance was 10, 55 large fruited tomato core germplasms were divided into six groups. Comparing the results of two clustering analysis, it was found that the clustering analysis based on genotypic value could better explain the genetic relationship between germplasms.[Conclusion] The results could provide some basis for understanding the population variation of large fruited tomato and genetic improvement of tomato cultivars.展开更多
Quantile regression（QR） is proposed to examine the relationships between large-scale atmospheric variables and all parts of the distribution of daily precipitation amount at Beijing Station from 1960 to 2008. QR is ...Quantile regression（QR） is proposed to examine the relationships between large-scale atmospheric variables and all parts of the distribution of daily precipitation amount at Beijing Station from 1960 to 2008. QR is also applied to evaluate the relationship between large-scale predictors and extreme precipitation（90th quantile） at 238 stations in northern China.Finally, QR is used to fit observed daily precipitation amounts for wet days at four sample stations. Results show that meridional wind and specific humidity at both 850 h Pa and 500 h Pa（V850, SH850, V500, and SH500） strongly affect all parts of the Beijing precipitation distribution during the wet season（April–September）. Meridional wind, zonal wind, and specific humidity at only 850 h Pa（V850, U850, SH850） are significantly related to the precipitation distribution in the dry season（October–March）. Impacts of these large-scale predictors on the daily precipitation amount with higher quantile become stronger, whereas their impact on light precipitation is negligible. In addition, SH850 has a strong relationship with wet-season extreme precipitation across the entire region, whereas the impacts of V850, V500, and SH500 are mainly in semi-arid and semi-humid areas. For the dry season, both SH850 and V850 are the major predictors of extreme precipitation in the entire region. Moreover, QR can satisfactorily simulate the daily precipitation amount at each station and for each season, if an optimum distribution family is selected. Therefore, QR is valuable for detecting the relationship between the large-scale predictors and the daily precipitation amount.展开更多
The main manufacturer and its suppliers＇ relationship management is very important for success of the large aircraft project. The study concentrates on analysis of the relationship management on a psychological con- ...The main manufacturer and its suppliers＇ relationship management is very important for success of the large aircraft project. The study concentrates on analysis of the relationship management on a psychological con- tract perspective, shows that constructing good psychological contract is useful to promote mutual trust, reduce the transaction cost caused by incompleteness of formal contract, avoid the risk of supplier management between the main manufacturer and suppliers of the large aircraft project. And with further understanding of the dynamic contracting process as well as formation framework of psychological contract between the main manufacturer and suppliers, we can better understand the relationship black-box and provide a new perspective for the study of the relationship management, then given some constructive suggestions to supplier relationship management.展开更多
Objective To study the common pathogenesis of pneumonia and colitis using modern biological network analysis tools,and to explore the theory that the lung and large intestine are exteriorly and interiorly related.Meth...Objective To study the common pathogenesis of pneumonia and colitis using modern biological network analysis tools,and to explore the theory that the lung and large intestine are exteriorly and interiorly related.Methods The relevant target genes(hereinafter,“targets”)of pneumonia and colitis were separately queried on the GeneCards database.The main targets of the two diseases were then screened out according to their correlation scores and intersected to obtain those common to the two diseases.Metascape was used to analyze the main and common targets identified,and the Database for Annotation,Visualization and Integrated Discovery(DAVID)was used to enrich and analyze the common targets.Cytoscape 3.7.2 software was used to build the network diagram.Results In total,54 targets,such as TNF,IL-10,IL-6,IL-2,IL-4,TLR4,TLR2,CXCL8,IL-17A and IFNG,etc.,are common to pneumonia and colitis,which are mainly enriched in these processes such as cytokine–cytokine receptor interaction,the Tcell receptor signaling pathway,the Toll-like receptor signaling pathway and the Jak-STAT signaling pathway.The Metascape modular analysis identified 11 modules for pneumonia,six modules for colitis,and two modules for the common targets.Conclusions Pneumonia and colitis have the same pathogenic targets and mechanisms of action and finally interact with each other through inflammatory reactions and immune responses.This provides a probable molecular mechanism that explains the theory that the lung and large intestine are exteriorly and interiorly related.展开更多
基金Supported by Science and Technology Project of Hainan Province(ZDYF2018035)
文摘[Objective] The paper aimed to analyze genetic diversity and genetic relationship of large fruited tomato core germplasms based on genotypic value.[Method] Taking 55 large fruited tomato core germplasms as tested materials, the genetic diversity of seven agronomic traits was analyzed, and the correlation between traits and genetic relationship between germplasms were analyzed based on genotypic effect value.[Result] The diversity indexes of seven agronomic traits were 3.98, 3.97, 3.99, 3.99, 3.97, 3.98 and 3.87, respectively, indicating there were rich genetic diversities in large fruited tomato core germplasms. Correlation analysis of traits was conducted based on genotypic effect value. The results showed that there was extremely significant positive correlation between leaf length and leaf width, and the correlation coefficient was 0.66. There was extremely significant positive correlation between fruit length and fruit width, with a correlation coefficient of 0.49. There was extremely significant positive correlation between weight per fruit and fruit width, with a correlation coefficient of 0.46. The genetic distance between large fruited tomato core germplasms was calculated based on the phenotypic value of traits. When the distance was 5, 55 large fruited tomato core germplasms were divided into three groups. The genetic distance between large fruited core germplasms tomato was calculated based on genotypic predictive value of traits. When the distance was 10, 55 large fruited tomato core germplasms were divided into six groups. Comparing the results of two clustering analysis, it was found that the clustering analysis based on genotypic value could better explain the genetic relationship between germplasms.[Conclusion] The results could provide some basis for understanding the population variation of large fruited tomato and genetic improvement of tomato cultivars.
基金jointly sponsored by the National Basic Research Program of China "973" Program (Grant No. 2012CB956203)the Knowledge Innovation Project (Grant No. KZCX2-EW-202)the National Natural Science Foundation of China (Grant Nos. 91325108 and 51339004)
文摘Quantile regression（QR） is proposed to examine the relationships between large-scale atmospheric variables and all parts of the distribution of daily precipitation amount at Beijing Station from 1960 to 2008. QR is also applied to evaluate the relationship between large-scale predictors and extreme precipitation（90th quantile） at 238 stations in northern China.Finally, QR is used to fit observed daily precipitation amounts for wet days at four sample stations. Results show that meridional wind and specific humidity at both 850 h Pa and 500 h Pa（V850, SH850, V500, and SH500） strongly affect all parts of the Beijing precipitation distribution during the wet season（April–September）. Meridional wind, zonal wind, and specific humidity at only 850 h Pa（V850, U850, SH850） are significantly related to the precipitation distribution in the dry season（October–March）. Impacts of these large-scale predictors on the daily precipitation amount with higher quantile become stronger, whereas their impact on light precipitation is negligible. In addition, SH850 has a strong relationship with wet-season extreme precipitation across the entire region, whereas the impacts of V850, V500, and SH500 are mainly in semi-arid and semi-humid areas. For the dry season, both SH850 and V850 are the major predictors of extreme precipitation in the entire region. Moreover, QR can satisfactorily simulate the daily precipitation amount at each station and for each season, if an optimum distribution family is selected. Therefore, QR is valuable for detecting the relationship between the large-scale predictors and the daily precipitation amount.
基金COMAC management system innovation model research(NAEK0001)Humanities and social sciences planning project of the Ministry of Education(12YJA630008)
文摘The main manufacturer and its suppliers＇ relationship management is very important for success of the large aircraft project. The study concentrates on analysis of the relationship management on a psychological con- tract perspective, shows that constructing good psychological contract is useful to promote mutual trust, reduce the transaction cost caused by incompleteness of formal contract, avoid the risk of supplier management between the main manufacturer and suppliers of the large aircraft project. And with further understanding of the dynamic contracting process as well as formation framework of psychological contract between the main manufacturer and suppliers, we can better understand the relationship black-box and provide a new perspective for the study of the relationship management, then given some constructive suggestions to supplier relationship management.
基金funding support from the Guangdong Provincial Key Construction Unit Project of Traditional Chinese Medicine Pediatrics (Guangdong Traditional Chinese Medicine Office Letter [2018] No. 202)。
文摘Objective To study the common pathogenesis of pneumonia and colitis using modern biological network analysis tools,and to explore the theory that the lung and large intestine are exteriorly and interiorly related.Methods The relevant target genes(hereinafter,“targets”)of pneumonia and colitis were separately queried on the GeneCards database.The main targets of the two diseases were then screened out according to their correlation scores and intersected to obtain those common to the two diseases.Metascape was used to analyze the main and common targets identified,and the Database for Annotation,Visualization and Integrated Discovery(DAVID)was used to enrich and analyze the common targets.Cytoscape 3.7.2 software was used to build the network diagram.Results In total,54 targets,such as TNF,IL-10,IL-6,IL-2,IL-4,TLR4,TLR2,CXCL8,IL-17A and IFNG,etc.,are common to pneumonia and colitis,which are mainly enriched in these processes such as cytokine–cytokine receptor interaction,the Tcell receptor signaling pathway,the Toll-like receptor signaling pathway and the Jak-STAT signaling pathway.The Metascape modular analysis identified 11 modules for pneumonia,six modules for colitis,and two modules for the common targets.Conclusions Pneumonia and colitis have the same pathogenic targets and mechanisms of action and finally interact with each other through inflammatory reactions and immune responses.This provides a probable molecular mechanism that explains the theory that the lung and large intestine are exteriorly and interiorly related.
