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RESEARCH ARTICLES : Mapping a New Source of Self-fertility in Perennial Ryegrass (Lolium perenne L.)
( Andrea Arias Aguirre ),( Bruno Studer ),( Javier Do Canto ),( Ursula Frei ),( Thomas Lubberstedt ) 한국육종학회 2013 Plant Breeding and Biotechnology Vol.1 No.4
There is a rising interest of moving towards hybrid breeding in out crossing species. Self-compatibility (SC), which occurs at low rates in self-incompatible species, could be used to develop inbred lines, a key requirement for hybrid breeding programs. In perennial ryegrass, the existence of SC independent from the self-incompatibility (SI) loci S and Z has been reported. In this study, we used 98 F2 individuals from a cross between a self-compatible ecotype and an individual of the VrnA mapping population that were tested with markers for two candidate linkage groups 3 and 5 as well as markers for candidate regions at the S and Z locus. We were able to determine a tentative location of a SC locus and tested the possible interaction to other loci involved in SI and SC. This information will help to fine map the SC locus, and for marker-assisted selection.
Ying Chen,Hani S. Mahmassani,Andreas Frei 서울시립대학교 도시과학연구원 2018 도시과학국제저널 Vol.22 No.2
Location-based social networking data provide an important new dimension in understanding travel choice behaviour, providing high levels of location and time accuracy over long time frames in conjunction with explicit friendship network information. Such data allow examination of location choice dynamics and social networking aspects explicitly. This paper presents an exploration of social network based dynamics of choice set generation in the context of activity and travel choice behaviour, especially destination choice. Using data from an online location-based social network, the paper explores the spatiality of destinations and social network influence on travellers’ destination choice in the Chicago metropolitan area. The results show that social relationships play a role in travellers’ destination choices and that distance plays a strong role in social networks as in location choice. Connectivity through social network structure is examined jointly with individuals’ spatial activity engagement; the number of virtual friends is found to significantly influence actual physical travel behaviour. Finally, caveats in using social networking data for behaviour analysis and planning are discussed.