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      Reproductive aspects and pollination biology in endoparasitic Pilostyles thurberi (Apodanthaceae)

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          Abstract

          Biotic pollination is typically a mutualism between plants and their pollinators, where each partner receives a benefit. However, plants can resort to various reproductive strategies to attract pollinators. Within angiosperms, a group of plants known as endoparasites is comprised of only flowers or inflorescences. These plants exhibit various reproductive strategies, such as different sexual systems and attractants, and most are dependent on animals for pollination. In the endoparasitic plants of the family Apodanthaceae, unisexual flowers are predominant, resulting in dependence on pollinators. Pilostyles thurberi is characterized by small flowers, but limited information exists about its reproductive strategies. This study investigated various reproductive aspects of P. thurberi. We described and compared its hosts, sexual flower arrangement, floral concentration, rewards, and reproductive success in different populations. Furthermore, we determined whether the floral display operates as an attractant by monitoring pollinators for two years. Our results revealed that P. thurberi has unisexual flowers with male, female, and mixed sex arrangements. Bees and wasps are the effective pollinators and are attracted by the floral display independently of flower sex. This study was the first to record the production of small amounts of crystallized nectar by the nectary disk of both floral sexes. Moreover, the findings were compared with those of other endoparasitic plants, such as Cytinaceae, Mitrastemonaceae, Rafflesiaceae, and other Apodanthaceae. It is necessary to continue studying the plant–pollinator interactions and reproductive strategies of parasitic plants such as Apodanthaceae, since not much evidence on how they reproduce and survive in the wild exists.

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          Simultaneous inference in general parametric models.

          Simultaneous inference is a common problem in many areas of application. If multiple null hypotheses are tested simultaneously, the probability of rejecting erroneously at least one of them increases beyond the pre-specified significance level. Simultaneous inference procedures have to be used which adjust for multiplicity and thus control the overall type I error rate. In this paper we describe simultaneous inference procedures in general parametric models, where the experimental questions are specified through a linear combination of elemental model parameters. The framework described here is quite general and extends the canonical theory of multiple comparison procedures in ANOVA models to linear regression problems, generalized linear models, linear mixed effects models, the Cox model, robust linear models, etc. Several examples using a variety of different statistical models illustrate the breadth of the results. For the analyses we use the R add-on package multcomp, which provides a convenient interface to the general approach adopted here. Copyright 2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
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            Generalization in Pollination Systems, and Why it Matters

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              Icy: an open bioimage informatics platform for extended reproducible research.

              Current research in biology uses evermore complex computational and imaging tools. Here we describe Icy, a collaborative bioimage informatics platform that combines a community website for contributing and sharing tools and material, and software with a high-end visual programming framework for seamless development of sophisticated imaging workflows. Icy extends the reproducible research principles, by encouraging and facilitating the reusability, modularity, standardization and management of algorithms and protocols. Icy is free, open-source and available at http://icy.bioimageanalysis.org/.
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                Author and article information

                Contributors
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                Journal
                Plant Species Biology
                Plant Species Biology
                Wiley
                0913-557X
                1442-1984
                March 2023
                November 10 2022
                March 2023
                : 38
                : 2
                : 40-53
                Affiliations
                [1 ] Laboratorio de Desarrollo en Plantas, Facultad de Ciencias Universidad Nacional Autónoma de México (UNAM) CDMX Mexico
                [2 ] Posgrado en Ciencias Biológicas Universidad Nacional Autónoma de México (UNAM) CDMX Mexico
                [3 ] Departamento de Ecología de la Biodiversidad Instituto de Ecología, Universidad Nacional Autónoma de México (UNAM) CDMX Mexico
                [4 ] El Consejo Nacional de Ciencia y Tecnología–Laboratorio Nacional de Identificación y Caracterización Vegetal, Departamento de Botánica y Zoología, Centro Universitario de Ciencias Biológicas y Agropecuarias Universidad de Guadalajara Zapopan Mexico
                Article
                10.1111/1442-1984.12395
                9092caf4-657d-4900-aa3b-eb5879db73cf
                © 2023

                http://creativecommons.org/licenses/by-nc/4.0/

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