Laboratory of Genetics, Department of Plant Sciences, Graduate School of Experimental Plant Sciences, Wageningen University, Dreyenlaan 2, 6703 HA Wageningen, The Netherlands (M.K.); and Laboratory of Plant Breeding, Department of Plant Sciences, Graduate Schools of Experimental Plant Science and Production Ecology and Resource Conservation, P.O. Box 386, Wageningen University, 6700 AJ Wagening...

Yang, X. ([email protected]), Huang, Z. (corresponding author, [email protected] ), Venable, D.L. (corresponding author, [email protected]), Wang, L. ([email protected]), Zhang, K. ([email protected]), Baskin, J.M. ([email protected]), Baskin, C.C. ([email protected]), Cornelissen, J.H.C ([email protected]) State Key Laboratory of Vegetation and Environment...

Abstract Botanical concepts have traditionally viewed the environment as a static box containing plants. In this box, plants compete with one another and act passive resource consumers subjected to in top-down manner. This entails that only negative effects on other no influence environment. By contrast, there is increasing evidence positive, bottom-up engineering diversity Here, overcome limit...

Until recently almost nothing was known about the effects of plant polyploidy on interactions with herbivores and pollinators. Studies of the saxifrage Heuchera grossulariifolia throughout its geographical range in the US northern Rockies have shown that autopolyploidy has probably arisen multiple times within this species since the end of the Pleistocene. Tetraploids from those different origi...

Alexandra Lešková, Ricardo F. H. Giehl, Anja Hartmann, Agáta Fargašová, and Nicolaus von Wirén Department of Physiology and Cell Biology, Leibniz Institute for Plant Genetics and Crop Plant Research, 06466 Gatersleben, Germany Department of Environmental Ecology, Faculty of Natural Sciences, Comenius University in Bratislava, 84215 Bratislava, Slovakia Department of Plant Physiology, Plant Scie...

Plant biologists in fields of ecology, evolution, genetics and breeding frequently use multivariate methods. This paper illustrates Principal Component Analysis (PCA) and Gabriel's biplot as applied to microarray expression data from plant pathology experiments.