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Models of turfgrass seed germination related to water content

Turfgrasses have been widely utilized by humans to enhance the environment for more than several centuries. Seed germination is of great importance in the development of the turfgrass industry. In this study, the seed germination models of the responses of three types of turfgrasses to water were st...

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Detalles Bibliográficos
Autores principales: Jiang, Ying, Su, Derong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6175505/
https://www.ncbi.nlm.nih.gov/pubmed/30296292
http://dx.doi.org/10.1371/journal.pone.0204983
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author Jiang, Ying
Su, Derong
author_facet Jiang, Ying
Su, Derong
author_sort Jiang, Ying
collection PubMed
description Turfgrasses have been widely utilized by humans to enhance the environment for more than several centuries. Seed germination is of great importance in the development of the turfgrass industry. In this study, the seed germination models of the responses of three types of turfgrasses to water were studied. The results indicated that irrigation water was mainly related to the variation of seed volume rather than a fixed value in this experiment. The maximum k value of tall fescue, Kentucky bluegrass and perennial ryegrass is 1.1548, 1.6946 and 4.0940, respectively. The optimal value of k is 1.0617 for tall fescue, 1.4610 for Kentucky bluegrass, and 1.6614 for perennial ryegrass. Perennial ryegrass seeds are more sensitive to water than those of tall fescue and Kentucky bluegrass, and this turfgrass is the fastest to reach the maximum value of the germination rate. Based on the results from the present experiment, the seed germination function can describe the response of turfgrass seed germination to external water content variation and their sensitivities. The function obtained could be used to perform quantitative studies on the dynamic changes of seed germination under different water conditions that will contribute to improved predictions of the optimal fitting curves of the germination over a range of water.
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spelling pubmed-61755052018-10-19 Models of turfgrass seed germination related to water content Jiang, Ying Su, Derong PLoS One Research Article Turfgrasses have been widely utilized by humans to enhance the environment for more than several centuries. Seed germination is of great importance in the development of the turfgrass industry. In this study, the seed germination models of the responses of three types of turfgrasses to water were studied. The results indicated that irrigation water was mainly related to the variation of seed volume rather than a fixed value in this experiment. The maximum k value of tall fescue, Kentucky bluegrass and perennial ryegrass is 1.1548, 1.6946 and 4.0940, respectively. The optimal value of k is 1.0617 for tall fescue, 1.4610 for Kentucky bluegrass, and 1.6614 for perennial ryegrass. Perennial ryegrass seeds are more sensitive to water than those of tall fescue and Kentucky bluegrass, and this turfgrass is the fastest to reach the maximum value of the germination rate. Based on the results from the present experiment, the seed germination function can describe the response of turfgrass seed germination to external water content variation and their sensitivities. The function obtained could be used to perform quantitative studies on the dynamic changes of seed germination under different water conditions that will contribute to improved predictions of the optimal fitting curves of the germination over a range of water. Public Library of Science 2018-10-08 /pmc/articles/PMC6175505/ /pubmed/30296292 http://dx.doi.org/10.1371/journal.pone.0204983 Text en © 2018 Jiang, Su http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Jiang, Ying
Su, Derong
Models of turfgrass seed germination related to water content
title Models of turfgrass seed germination related to water content
title_full Models of turfgrass seed germination related to water content
title_fullStr Models of turfgrass seed germination related to water content
title_full_unstemmed Models of turfgrass seed germination related to water content
title_short Models of turfgrass seed germination related to water content
title_sort models of turfgrass seed germination related to water content
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6175505/
https://www.ncbi.nlm.nih.gov/pubmed/30296292
http://dx.doi.org/10.1371/journal.pone.0204983
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