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      Fate and adaptive plasticity of heterogeneous resistant population of Echinochloa colona in response to glyphosate

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          Abstract

          Understanding the fate of heterogenous herbicide resistant weed populations in response to management practices can help towards overcoming the resistance issues. We selected one pair of susceptible (S) and resistant (R) phenotypes (2B21-R vs 2B21-S and 2B37-R vs 2B37-S) separately from two glyphosate resistant heterogeneous populations (2B21 and 2B37) of Echinochloa colona and their fate and adaptive plasticity were evaluated after glyphosate application. Our study revealed the glyphosate concentration required to cause a 50% plant mortality (LD 50) was 1187, 200, 3064, and 192 g a. e. ha −1 for the four phenotypes 2B21-R, 2B21-S, 2B37-R, and 2B37-S respectively. Both S phenotypes accumulated more biomass than the R phenotypes at the lower application rates (34 and 67.5 g a. e. ha −1) of glyphosate. However, the R phenotypes generally produced more biomass at rates of glyphosate higher than 100 g a. e. ha −1 throughout the growth period. Plants from the R phenotypes of 2B21 and 2B37 generated 32% and 38% fewer spikesplant −1 than their respective S counterparts in the absence of glyphosate respectively. The spike and seed numbersplant -1 significantly higher in R than S phenotypes at increased rates of glyphosate and these relationships were significant. Our research suggests that glyphosate-resistant E. colona plants will be less fit than susceptible plants (from the same population) in the absence of glyphosate. But in the presence of glyphosate, the R plants may eventually dominate in the field. The use of glyphosate is widespread in field, would favour the selection towards resistant individuals.

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          Dose-Response Analysis Using R

          Dose-response analysis can be carried out using multi-purpose commercial statistical software, but except for a few special cases the analysis easily becomes cumbersome as relevant, non-standard output requires manual programming. The extension package drc for the statistical environment R provides a flexible and versatile infrastructure for dose-response analyses in general. The present version of the package, reflecting extensions and modifications over the last decade, provides a user-friendly interface to specify the model assumptions about the dose-response relationship and comes with a number of extractors for summarizing fitted models and carrying out inference on derived parameters. The aim of the present paper is to provide an overview of state-of-the-art dose-response analysis, both in terms of general concepts that have evolved and matured over the years and by means of concrete examples.
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            Direct and ecological costs of resistance to herbivory

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              EVOLUTIONARY RESPONSES TO CHANGING CLIMATE

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                Author and article information

                Contributors
                md.asaduzzaman@dpi.nsw.gov.au
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                21 July 2021
                21 July 2021
                2021
                : 11
                : 14858
                Affiliations
                GRID grid.1680.f, ISNI 0000 0004 0559 5189, NSW Department of Primary Industries, ; Pine Gully Road, Wagga Wagga, NSW 2650 Australia
                Author information
                http://orcid.org/0000-0001-5902-7871
                Article
                94370
                10.1038/s41598-021-94370-7
                8295337
                34290336
                fd2d86dc-bd68-4ce5-9cca-24b6b4664e0e
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 5 May 2021
                : 7 July 2021
                Funding
                Funded by: Cotton Research Development Corporation
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                plant sciences,plant ecology
                Uncategorized
                plant sciences, plant ecology

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