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| DOI: | 10.1002/csc2.20260 |
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| Web URL(s): | https://acsess.onlinelibrary.wiley.com/doi/full/10.1002/csc2.20260
Last checked: 11/18/2020
Access conditions: Item is within a limited-access website
https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.20260
Last checked: 11/18/2020
Requires: PDF Reader
Access conditions: Item is within a limited-access website |
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| Publication Type:
| Refereed |
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| Author(s): | Gouveia, Beatriz Tomé;
Rios, Esteban Fernando;
Rodrigues Nunes, José Airton;
Gezan, Salvador A.;
Munoz, Patricio R.;
Kenworthy, Kevin E.;
Unruh, J. Bryan;
Miller, Grady L.;
Milla-Lewis;
Susana R.;
Schwartz, Brian M.;
Raymer, Paul L.;
Chanrda, Ambika;
Benjamin G.;
Wu, Yanqi;
Martin, Dennis;
Moss, Justin Q. |
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| Author Affiliation: | Gouveia and Rodrigues Nunes: Biology Dep., Univ. Federal de Lavras, Lavras, Minas, Brazil; Rios and Kenworthy: Agronomy Dep., Univ. of Florida, Gainesville, FL; Gezan: VSN International, Hemel Hempstead, UK; Munoz: Horticultural Science Dep., Univ. of Florida, Gainesville, FL; Unruh: Environmental Horticulture Dep., West Florida Research and Education Center, Univ. of Florida, Jay, FL; Miller and Milla-Lewis: Dep. of Crop and Soil Sciences, North Carolina State Univ., Raleigh, NC; Schwartz: Dep. of Crop and Soil Sciences, Univ. of Georgia, Tifton Campus, Tifton, GA; Raymer: Dep. of Crop and Soil Sciences, Univ. of Georgia, Griffin Campus, Griffin, GA; Chandra: Dep. of Soil and Crop Sciences, Texas A&M AgriLife Research-Dallas, Dallas, TX; Wherley: Dep. of Soil and Crop Sciences, Texas A&M Univ., College Station, TX; Wu: Dep. of Plant and Soil Sciences, Oklahoma State Univ., Stillwater, OK; Martin and Moss: Dep. of Horticulture & Landscape Architecture, Oklahoma State Univ., Stillwater, OK |
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| Title: | Genotype-by-environment interaction for turfgrass quality in bermudagrass across the southeastern United States |
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| Section: | Original research articles
Other records with the "Original research articles" Section
Turfgrass science
Other records with the "Turfgrass science" Section
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| Source: | Crop Science. Vol. 60, No. 6, November/December 2020, p. 3328-3343. |
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| Publishing Information: | Madison, Wisconsin: Crop Science Society of America |
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| # of Pages: | 16 |
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| Related Web URL: | https://acsess.onlinelibrary.wiley.com/doi/abs/10.1002/csc2.20260
Last checked: 12/04/2020
Notes: Abstract only |
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| Abstract/Contents: | "Estimation of genotype-by-environment interaction (GEI) is important in breeding programs because it provides critical information to guide selection decisions. In general, multienvironment trials exhibit heterogeneity of variances and covariances at several levels. Thus, the objectives of this study were (a) to find the best genetic covariance matrix to model GEI and compare changes in genotypic rankings between the best covariance structure against a compound symmetry structure, (b) to define mega-environments for turfgrass performance across the southeastern United States, and (c) to estimate genetic correlations between drought or nondrought and growing or nongrowing conditions to determine the extent of GEI under specific environments. Three nurseries with 165, 164, and 154 genotypes were evaluated in 20112012, 20122013, and 20132014, respectively. These nurseries were conducted at eight locations (Citra, FL; Hague, FL; College Station, TX; Dallas, TX; Griffin, GA; Tifton, GA; Stillwater, OK; and Jackson Springs, NC). The response variables were averaged turfgrass quality (TQ), TQ under drought (TQD), nondrought TQ (TQND), TQ under actively growing months (TQG), and TQ under nongrowing months (TQNG). This study demonstrated that (a) the best variance structure varied among traits and seasons, and changes in genotype rankings were dependent on GEI; (b) considering TQ and TQND, mega-environments formed between Jackson Springs and College Station, and between Citra, Dallas, and Griffin, whereas Stillwater, Hague, and Tifton represented unique environments across the southeastern United States; and (c) genetic correlations between drought or nondrought and growing or nongrowing conditions suggested that indirect selection can be efficient in multienvironment trials for contrasting environmental conditions." |
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| Language: | English |
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| References: | 53 |
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| See Also: | See also related item " Genotype-by-environment analysis for turf quality in bermudagrass" International Forage & Turf Breeding Conference, 2019, p. 63, R=335703. R=335703 |
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| Note: | Map
Tables
Graphs |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Gouveia, B. T., E. F. Rios, J. A. Rodrigues Nunes, S. A. Gezan, P. R. Munoz, K. E. Kenworthy, et al. 2020. Genotype-by-environment interaction for turfgrass quality in bermudagrass across the southeastern United States. Crop Sci. 60(6):p. 3328-3343. |
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| DOI: 10.1002/csc2.20260 |
| Web URL(s):
https://acsess.onlinelibrary.wiley.com/doi/full/10.1002/csc2.20260
Last checked: 11/18/2020
Access conditions: Item is within a limited-access website
https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.20260
Last checked: 11/18/2020
Requires: PDF Reader
Access conditions: Item is within a limited-access website |
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MSU catalog number: b2211522a |
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