Modeling seasonal emergence of Poa annua in urban greenspace

Abstract 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 serv...

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Autores principales:	Dallas R. Taylor, Michael Prorock, Brandon J. Horvath, James T. Brosnan
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/052ca4a6cbe844b09488c9f4826a9a12
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spelling	oai:doaj.org-article:052ca4a6cbe844b09488c9f4826a9a122021-12-02T18:48:09ZModeling seasonal emergence of Poa annua in urban greenspace10.1038/s41598-021-98525-42045-2322https://doaj.org/article/052ca4a6cbe844b09488c9f4826a9a122021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-98525-4https://doaj.org/toc/2045-2322Abstract 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 (CDD21C) 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 CDD21C 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.Dallas R. TaylorMichael ProrockBrandon J. HorvathJames T. BrosnanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-7 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Dallas R. Taylor Michael Prorock Brandon J. Horvath James T. Brosnan Modeling seasonal emergence of Poa annua in urban greenspace
description	Abstract 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 (CDD21C) 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 CDD21C 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.
format	article
author	Dallas R. Taylor Michael Prorock Brandon J. Horvath James T. Brosnan
author_facet	Dallas R. Taylor Michael Prorock Brandon J. Horvath James T. Brosnan
author_sort	Dallas R. Taylor
title	Modeling seasonal emergence of Poa annua in urban greenspace
title_short	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_sort	modeling seasonal emergence of poa annua in urban greenspace
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/052ca4a6cbe844b09488c9f4826a9a12
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Modeling seasonal emergence of Poa annua in urban greenspace

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