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Modeling seasonal emergence of Poa annua in urban greenspace

Turfgrasses are perennial components of urban greenspaces found in parks, recreational areas, golf courses, sports fields, and lawns that confer many ecosystem services. A copious seed producer, Poa annua is the most troublesome weed of turfgrass and continually threatens the ecosystem services prov...

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Autores principales: Taylor, Dallas R., Prorock, Michael, Horvath, Brandon J., Brosnan, James T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8460798/
https://www.ncbi.nlm.nih.gov/pubmed/34556772
http://dx.doi.org/10.1038/s41598-021-98525-4
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author Taylor, Dallas R.
Prorock, Michael
Horvath, Brandon J.
Brosnan, James T.
author_facet Taylor, Dallas R.
Prorock, Michael
Horvath, Brandon J.
Brosnan, James T.
author_sort Taylor, Dallas R.
collection PubMed
description Turfgrasses are perennial components of urban greenspaces found in parks, recreational areas, golf courses, sports fields, and lawns that confer many ecosystem services. A copious seed producer, Poa annua is the most troublesome weed of turfgrass and continually threatens the ecosystem services provided by urban greenspaces. Field research was conducted in Knoxville, TN to better understand environmental conditions triggering P. annua seedling emergence patterns to assist managers with optimally timing interventions—both chemical and non-chemical—for control. Fluctuations in cooling degree day (CDD(21C)) accumulation accounted for 82% of the variance in yearly cumulative P. annua emergence data collected in a single irrigated sward of hybrid bermudagrass [C. dactylon (L.) Pers. x. C. transvaalensis Burtt-Davy]. However, non-linear models using CDD(21C) data developed ex post were not able to accurately predict P. annua emergence patterns ex ante. In both years, P. annua emergence changed most rapidly between the 40th and 43rd week of the year when seven-day mean soil temperature and rainfall were 18.9 °C and 12.7 mm, respectively. Future research should explore the efficacy of herbicide mixtures applied when P. annua emergence is most rapidly changing in lieu of developing models to predict when specific emergence thresholds occur.
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spelling pubmed-84607982021-09-27 Modeling seasonal emergence of Poa annua in urban greenspace Taylor, Dallas R. Prorock, Michael Horvath, Brandon J. Brosnan, James T. Sci Rep Article Turfgrasses are perennial components of urban greenspaces found in parks, recreational areas, golf courses, sports fields, and lawns that confer many ecosystem services. A copious seed producer, Poa annua is the most troublesome weed of turfgrass and continually threatens the ecosystem services provided by urban greenspaces. Field research was conducted in Knoxville, TN to better understand environmental conditions triggering P. annua seedling emergence patterns to assist managers with optimally timing interventions—both chemical and non-chemical—for control. Fluctuations in cooling degree day (CDD(21C)) accumulation accounted for 82% of the variance in yearly cumulative P. annua emergence data collected in a single irrigated sward of hybrid bermudagrass [C. dactylon (L.) Pers. x. C. transvaalensis Burtt-Davy]. However, non-linear models using CDD(21C) data developed ex post were not able to accurately predict P. annua emergence patterns ex ante. In both years, P. annua emergence changed most rapidly between the 40th and 43rd week of the year when seven-day mean soil temperature and rainfall were 18.9 °C and 12.7 mm, respectively. Future research should explore the efficacy of herbicide mixtures applied when P. annua emergence is most rapidly changing in lieu of developing models to predict when specific emergence thresholds occur. Nature Publishing Group UK 2021-09-23 /pmc/articles/PMC8460798/ /pubmed/34556772 http://dx.doi.org/10.1038/s41598-021-98525-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Taylor, Dallas R.
Prorock, Michael
Horvath, Brandon J.
Brosnan, James T.
Modeling seasonal emergence of Poa annua in urban greenspace
title Modeling seasonal emergence of Poa annua in urban greenspace
title_full Modeling seasonal emergence of Poa annua in urban greenspace
title_fullStr Modeling seasonal emergence of Poa annua in urban greenspace
title_full_unstemmed Modeling seasonal emergence of Poa annua in urban greenspace
title_short Modeling seasonal emergence of Poa annua in urban greenspace
title_sort modeling seasonal emergence of poa annua in urban greenspace
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8460798/
https://www.ncbi.nlm.nih.gov/pubmed/34556772
http://dx.doi.org/10.1038/s41598-021-98525-4
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