Corrigendum

Abstract

New PhytologistVolume 178, Issue 2 p. 459-459 Free Access Corrigendum This article corrects the following: Effect of inbreeding depression on outcrossing rates among populations of a tropical pine R. F. Del Castillo, S. Trujillo, Volume 177Issue 2New Phytologist pages: 517-524 First Published online: November 7, 2007 First published: 26 March 2008 https://doi.org/10.1111/j.1469-8137.2008.02398.xCitations: 1AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat New Phytologist 177 (2008), 517–524 Since its publication, the authors of del Castillo & Trujillo (2008) have brought to our attention two errors in the text. In the Summary (last bullet point) and in the Discussion ‘Inbreeding depression and its impact on outcrossing estimates’ (final paragraph) the text should read ‘accuracy but not precision’ and not ‘precision but not accuracy’. The corrected Summary bullet point and section of the Discussion are printed below. We apologize to our readers for these mistakes. Summary • Inbreeding depression may be an uneven source of bias for outcrossing estimates even at the infraspecific level. Accuracy but not precision may be gained by including inbreeding depression in outcrossing estimates. Therefore, caution should be taken when comparing tm among species or even populations within the same species. Discussion Inbreeding depression and its impact on outcrossing estimates ... The distribution of outcrossing rates among plant species have been subject to much attention in particular after the influential study of Lande & Schemske (1985) predicting a bimodal distribution. Several works have pinpointed sources of bias in empirical studies testing such predictions (Ugic & Kohn, 2006). Here we illustrate two additional problems. First, the distribution of outcrossing is traditionally investigated by assigning a single outcrossing category to each species analysed (Schemske & Lande, 1985; Vogler & Kalisz, 2001). The great variation in outcrossing rates observed in P. chiapensis populations indicates that classifying species on the basis of their t-value detected in a single or few populations can be misleading. Very little is known about the true range of variation in outcrossing rates among populations within species. Second, outcrossing rates used in empirical studies testing Lande and Schemske predictions are not usually corrected for inbreeding depression. In our study, the correction for inbreeding depression altered outcrossing rates by only 10% or less. Nonetheless, this distortion will operate unevenly among populations, making correct outcrossing estimates across populations difficult to achieve. Furthermore, correcting for inbreeding depression adds an extra source of random error to outcrossing estimates. Therefore, we may gain accuracy not precision by including inbreeding depression in outcrossing estimation. In this regard, we provide additional information that supports the notion that conclusions of empirical studies analysing the frequency of mixed mating or the shape of the distribution of outcrossing rates in nature are premature and a good comprehensive study would be very difficult to accomplish. Reference Del Castillo RF, Trujillo S. 2008. Effect of inbreeding depression on outcrossing rates among populations of a tropical pine. New Phytologist 177: 517– 524. Wiley Online LibraryCASPubMedWeb of Science®Google Scholar Citing Literature Volume178, Issue2April 2008Pages 459-459 ReferencesRelatedInformation