Editor-in-Chief: Dr. David M. Whitacre Summerfield. NC. USA DMWhitacre@triad.rr.com Editorial Board: M. Fernanda Cavieres University of Valparaíso. Valparaíso. Chile fernanda.cavieres@uv.cl Dr. Charles P. Gerba University of Arizona. Tucson. AZ. USA gerba@email.arizona.edu Dr. John Giesy University of Saskatchewan Saskatoon. Saskatchewan. Canada JGIESY@aol.com Prof. Dr. Otto Hutzinger University of Bayreuth. Grenzweg. Austria Hutzinger-Univ-Bayreuth@aon.at Dr. James B. Knaak Getzville. NY. USA jbknaak@aol.com Dr. James T. Stevens Wake Forest University School of Medicine Winston-Salem. NC. USA jstevens@wfubmc.edu Dr. Ronald S. Tjeerdema University of California. Davis. CA. USA rstjeerdema@ucdavis.edu Dr. Pim de Voogt University of Amsterdam. Amsterdam. The Netherlands pdevoogt@Science.uva.nl Dr. George Ware Tucson. AZ. USA Gware7@aol.
Das Journal „RHEUMA PLUS“ publiziert Übersichtsartikel über die Mechanismen rheumatischer Erkrankungen und aktuelle Informationen über neue Therapien, Metaanalysen sowie Fallberichte. Das Themenspektrum umfasst Diagnose und medikamentöse Therapien von Patient:innen mit rheumatischen Erkrankungen.
Die Beiträge stellen diagnostische und therapeutische Fortschritte in der Rheumatologie dar und bieten so einen Wissenstransfer von der Klinik in die Praxis - und umgekehrt. Das Journal soll als Plattform zur interdisziplinären Kommunikation und Diskussion fachspezifischer Anliegen dienen und einen Beitrag zu einer verstärkten „Rheuma-Awareness“ im niedergelassenen Bereich leisten.
Die Artikel werden von unseren geschätzten Editoren, die auf dem Gebiet der Rheumatologie und verwandten Bereichen tätig sind, begutachtet.
This open access book focuses on the linear selection index (LSI) theory and its statistical properties. It addresses the single-stage LSI theory by assuming that economic weights are fixed and known - or fixed, but unknown - to predict the net genetic merit in the phenotypic, marker and genomic context. Further, it shows how to combine the LSI theory with the independent culling method to develop the multistage selection index theory. The final two chapters present simulation results and SAS and R codes, respectively, to estimate the parameters and make selections using some of the LSIs described. It is essential reading for plant quantitative geneticists, but is also a valuable resource for animal breeders.
This open access book focuses on the linear selection index (LSI) theory and its statistical properties. It addresses the single-stage LSI theory by assuming that economic weights are fixed and known - or fixed, but unknown - to predict the net genetic merit in the phenotypic, marker and genomic context. Further, it shows how to combine the LSI theory with the independent culling method to develop the multistage selection index theory. The final two chapters present simulation results and SAS and R codes, respectively, to estimate the parameters and make selections using some of the LSIs described. It is essential reading for plant quantitative geneticists, but is also a valuable resource for animal breeders.
npj Antimicrobials and Resistance considers basic, applied, and clinical research that advances our understanding of all aspects of antimicrobials and antimicrobial resistance.
The journal covers a broad range of topics including but not limited to:
The journal offers more choice to Nature Portfolio authors who are seeking a fully open-access and more inclusive platform for publishing their work. The journal is led by microbiology experts who collaborate to cultivate high-quality research. As part of the npj Series, this journal focuses on fostering global partnerships with the research community and other Springer Nature journals.