4
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Cover crop termination options and application of remote sensing for evaluating termination efficiency

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Efficient termination of cover crops is an important component of cover crop management. Information on termination efficiency can help in devising management plans but estimating herbicide efficacy is a tedious task and potential remote sensing technologies and vegetative indices (VIs) have not been explored for this purpose. This study was designed to evaluate potential herbicide options for the termination of wheat ( Triticum aestivum L.), cereal rye ( Secale cereale L.), hairy vetch ( Vicia villosa Roth.), and rapeseed ( Brassica napus L.), and to correlate different VIs with visible termination efficiency. Nine herbicides and one roller-crimping treatment were applied to each cover crop. Among different herbicides used, glyphosate, glyphosate + glufosinate, paraquat, and paraquat + metribuzin provided more than 95% termination for both wheat and cereal rye 28 days after treatment (DAT). For hairy vetch, 2,4-D + glufosinate and glyphosate + glufosinate, resulted in 99 and 98% termination efficiency, respectively, followed by 2,4-D + glyphosate and paraquat with 92% termination efficiency 28 DAT. No herbicide provided more than 90% termination of rapeseed and highest control was provided by paraquat (86%), 2,4-D + glufosinate (85%), and 2,4-D + glyphosate (85%). Roller-crimping (without herbicide application) did not provide effective termination of any cover crop with 41, 61, 49, and 43% termination for wheat, cereal rye, hairy vetch, and rapeseed, respectively. Among the VIs, Green Leaf Index had the highest Pearson correlation coefficient for wheat (r = -0.786, p = <0.0001) and cereal rye (r = -0.804, p = <0.0001) with visible termination efficiency rating. Whereas for rapeseed, the Normalized Difference Vegetation Index (NDVI) had the highest correlation coefficient (r = -0.655, p = <0.0001). The study highlighted the need for tankmixing 2,4-D or glufosinate with glyphosate for termination instead of blanket application of glyphosate alone for all crops including rapeseed and other broadleaf cover crops.

          Related collections

          Most cited references52

          • Record: found
          • Abstract: not found
          • Article: not found

          Red and photographic infrared linear combinations for monitoring vegetation

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Derivation of Leaf-Area Index from Quality of Light on the Forest Floor

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves.

              Leaf chlorophyll content provides valuable information about physiological status of plants. Reflectance measurement makes it possible to quickly and non-destructively assess, in situ, the chlorophyll content in leaves. Our objective was to investigate the spectral behavior of the relationship between reflectance and chlorophyll content and to develop a technique for non-destructive chlorophyll estimation in leaves with a wide range of pigment content and composition using reflectance in a few broad spectral bands. Spectral reflectance of maple, chestnut, wild vine and beech leaves in a wide range of pigment content and composition was investigated. It was shown that reciprocal reflectance (R lambda)-1 in the spectral range lambda from 520 to 550 nm and 695 to 705 nm related closely to the total chlorophyll content in leaves of all species. Subtraction of near infra-red reciprocal reflectance, (RNIR)-1, from (R lambda)-1 made index [(R lambda)(-1)-(RNIR)-1] linearly proportional to the total chlorophyll content in spectral ranges lambda from 525 to 555 nm and from 695 to 725 nm with coefficient of determination r2 > 0.94. To adjust for differences in leaf structure, the product of the latter index and NIR reflectance [(R lambda)(-1)-(RNIR)-1]*(RNIR) was used; this further increased the accuracy of the chlorophyll estimation in the range lambda from 520 to 585 nm and from 695 to 740 nm. Two independent data sets were used to validate the developed algorithms. The root mean square error of the chlorophyll prediction did not exceed 50 mumol/m2 in leaves with total chlorophyll ranged from 1 to 830 mumol/m2.
                Bookmark

                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: Writing – original draft
                Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: MethodologyRole: Writing – review & editing
                Role: InvestigationRole: ResourcesRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                20 April 2023
                2023
                : 18
                : 4
                : e0284529
                Affiliations
                [1 ] Eastern Shore Agricultural Research and Extension Center, Virginia Tech, Painter, Virginia, United States of America
                [2 ] School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, Virginia, United States of America
                [3 ] United States Department of Agriculture - Agricultural Research Service, Sustainable Agriculture Systems Laboratory, Beltsville, Maryland, United States of America
                Indian Agricultural Research Institute, INDIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0001-9746-7923
                https://orcid.org/0000-0002-2854-008X
                Article
                PONE-D-22-28353
                10.1371/journal.pone.0284529
                10118151
                37079528
                fea9ed10-47d2-447f-8104-5584ce905e18

                This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

                History
                : 17 October 2022
                : 31 March 2023
                Page count
                Figures: 7, Tables: 7, Pages: 19
                Funding
                Funded by: Virginia Grain producers Association
                Award Recipient :
                VS received funding from Virginia Grain producers Association (Virginia Corn Board) The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Agriculture
                Crop Science
                Crops
                Biology and Life Sciences
                Agriculture
                Agrochemicals
                Herbicides
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Grasses
                Rye
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Grasses
                Wheat
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Flowering Plants
                Rapeseed
                Biology and Life Sciences
                Agriculture
                Crop Science
                Crops
                Cereal Crops
                Biology and Life Sciences
                Agriculture
                Agronomy
                Horticulture
                Planting
                Biology and Life Sciences
                Anatomy
                Integumentary System
                Hair
                Medicine and Health Sciences
                Anatomy
                Integumentary System
                Hair
                Custom metadata
                All relevant data are within the manuscript and its Supporting information files.

                Uncategorized
                Uncategorized

                Comments

                Comment on this article