Dersleri yüzünden oldukça stresli bir ruh haline sikiş hikayeleri bürünüp özel matematik dersinden önce rahatlayabilmek için amatör pornolar kendisini yatak odasına kapatan genç adam telefonundan porno resimleri açtığı porno filmini keyifle seyir ederek yatağını mobil porno okşar ruh dinlendirici olduğunu iddia ettikleri özel sex resim bir masaj salonunda çalışan genç masör hem sağlık hem de huzur sikiş için gelip masaj yaptıracak olan kadını gördüğünde porn nutku tutulur tüm gün boyu seksi lezbiyenleri sikiş dikizleyerek onları en savunmasız anlarında fotoğraflayan azılı erkek lavaboya geçerek fotoğraflara bakıp koca yarağını keyifle okşamaya başlar
Dissection Of The Network Underlying Agronomic Traits In Soybean | 105045
Advances in Crop Science and Technology
Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.
Many agronomically important traits exhibit modularity and tend to be tightly integrated. The understanding of how traits become
associated or correlated is essential in the improvement of complex traits. Soybean (Glycine max L Merr) is a major crop of
agronomic importance as the predominant source of animal feed protein and cooking oil, which was domesticated from wild soybean
(G. soja Sieb & Zucc) in China 5,000 years ago. Understanding soybean domestication and improvement and a comprehensive
dissection of the genetic basis of agronomic traits is important for soybean improvement. By analysis of several hundred re-sequenced
wild, landrace and improved soybean accessions, we detected 230 selective sweeps and 162 selected copy number variants. Combined
with previous quantitative trait loci (QTL) information, we find that, of the 230 selected regions, 96 correlate with reported oil QTLs
and 21 contain fatty acid biosynthesis genes, 96 of which correlate with reported oil QTLs. Moreover, we detected more than two
thousands association signals via a comprehensive GWAS for dozens of agronomic traits. Through modeling analysis, we find that
amount of association sites are tightly linked and form a complex network to regulate the modularity of different complex traits. This
study provides valuable resources for genomics-enabled improvements in soybean molecular breeding.
Zhixi Tian has completed his PhD from Institute of Genetics and Developmental Biology, Chinese Academy of Sciences and Postdoctoral studies from Purdue University, USA. He is a Principle Investigator of Institute of Genetics and Developmental Biology. His research interests focus on functional genomics and genetics of soybean. He has published more than 27 papers in reputed journals.