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| DOI: | 10.1002/csc2.20908 |
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| Web URL(s): | https://acsess.onlinelibrary.wiley.com/doi/10.1002/csc2.20908
Last checked: 06/29/2023
https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.20908
Last checked: 06/29/2023
https://acsess.onlinelibrary.wiley.com/doi/pdfdirect/10.1002/csc2.20908
Last checked: 06/29/2023
Requires: PDF Reader |
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| Publication Type:
| Refereed |
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| Author(s): | Kowalewski, Alec R.;
Schmid, Charles J.;
Braithwaite, Emily T.;
McNally, Brandon C.;
Elmore, Matt T.;
Mattox, Clint M.;
McDonald, Brian W.;
Wang, Ruying;
Lambrinos, John G.;
Fitzpatrick, Greg S.;
Rivedal, Hannah M. |
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| Author Affiliation: | Kowalewski, Schmid, Braithwaite, McDonald, Wang, Lambrinos and Fitzpatrick: Department of Horticulture, Oregon State University, Corvallis, Oregon; Mattox: Department of Horticulture, Oregon State University, Corvallis, Oregon and USDA-ARS Forage Seed and Cereal Research, Oregon State University, CorVallis, Oregon; McNally: Department of Horticulture and Landscape Architecture Purdue University, West Lafayette, Indiana; Elmore: Department of Plant Biology, Rutgers University, New Brunswick, New Jersey; Rivedal: USDA-ARS Forage Seed and Cereal Research, Orgeon State University, Corvallis, Oregon |
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| Title: | Comparing methods to quantify cover in turfgrass research |
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| Section: | Turfgrass science
Other records with the "Turfgrass science" Section
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| Source: | Crop Science. Vol. 63, No. 3, May/June 2023, p. 1581-1591. |
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| Publishing Information: | Madison, Wisconsin: Crop Science Society of America |
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| # of Pages: | 11 |
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| Abstract/Contents: | "Turfgrass cover can be assessed qualitatively using visual ratings, but quantitative turfgrass cover measurements are desired for producing unbiased data. Digital image analysis and point intercept are two quantitative percent cover data collection methods used in turfgrass research. A potential weakness of digital image analysis is the difficulty in evaluating color variation. Considering this, a series of controlled environment and field experiments were conducted to evaluate the accuracy of the point intercept method compared to using a digital grid, digital image analysis, and visual ratings when utilized in turfgrass research. To explore this topic, four experiments were conducted in Corvallis, OR, and one in New Brunswick, NJ. Results from research conducted in Corvallis, OR, determined that the closest point intercept spacing (2.5 cm) resulted in a percent cover that was not statistically different from the known cover and the lowest variance, but the greatest amount of time required to collect the data. Digital image analysis was the most consistent method for measuring percent cover when a known percent cover was being quantified. The estimate of the percent dollar spot cover was reduced by a single pigment application regardless of the data collection method. In the absence of pigment applications, the point intercept frame, digital image analysis, and visual ratings were well-correlated methods used to assess dollar spot cover. Digital image analysis was not correlated with the other data collection methods when used to evaluate percent anthracnose cover. The research conducted in New Brunswick, NJ, determined that the point intercept method and digital image analysis are well-correlated methods for quantifying turfgrass establishment from seed." |
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| Language: | English |
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| References: | 28 |
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| Note: | Pictures, color
Figures
Tables
Graphs |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Kowalewski, A. R., C. J. Schmid, E. T. Braithwaite, B. C. McNally, M. T. Elmore, C. M. Mattox, et al. 2023. Comparing methods to quantify cover in turfgrass research. Crop Sci. 63(3):p. 1581-1591. |
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| DOI: 10.1002/csc2.20908 |
| Web URL(s):
https://acsess.onlinelibrary.wiley.com/doi/10.1002/csc2.20908
Last checked: 06/29/2023
https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.20908
Last checked: 06/29/2023
https://acsess.onlinelibrary.wiley.com/doi/pdfdirect/10.1002/csc2.20908
Last checked: 06/29/2023
Requires: PDF Reader |
| 
MSU catalog number: b2211522 |
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