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| Web URL(s): | https://scisoc.confex.com/scisoc/2023am/meetingapp.cgi/Paper/149658 Last checked: 12/01/2023 |
| Publication Type: | Report |
| Content Type: | Abstract or Summary only |
| Author(s): | Gouveia, Beatriz T.; de Siqueira Gesteira, Gabriel; Zhang, Jing; Schwartz, Brian M.; Wu, Yanqi; Kenworthy, Kevin E.; Chandra, Ambika; Raymer, Paul; Pudzianowska, Marta; Milla-Lewis, Susana R. |
| Author Affiliation: | Gouveia: Presenting Author and Biology, North Carolina State University, Raleigh, NC; de Siqueira Gesteira: Department of Horticultural Science, North Carolina State University, Raleigh, NC; Zhang: Georgia, University of Georgia-Tifton, Tifton, GA; Schwartz: Department of Crop and Soil Sciences, University of Georgia, Tifton, GA; Wu: Oklahoma State University, Stillwater, OK; Kenworthy: Department of Agronomy, University of Florida, Gainesville, FL; Chandra: Texas A&M University System, Texas A&M AgriLife Research, Dallas, TX; Raymer: University of Georgia - Griffin, Griffin, GA; Pudzianowska: Botany & Plant Sciences, University of California-Riverside, Riverside, CA; Miller-Lewis: Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC |
| Title: | Effect of environmental covariates on establishment rate in warm-season turfgrass species |
| Section: | Turfgrass breeding, genetics, molecular biology, microbiome oral I (includes student competition) Other records with the "Turfgrass breeding, genetics, molecular biology, microbiome oral I (includes student competition)" Section C05 turfgrass science Other records with the "C05 turfgrass science" Section |
| Meeting Info.: | St. Louis, Missouri: October 29-November 1, 2023 |
| Source: | ASA, CSSA, SSSA International Annual Meeting. 2023, p. 149658. |
| Publishing Information: | [Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America] |
| # of Pages: | 1 |
| Abstract/Contents: | "Environmental characteristics contribute to the varying performance of the genotypes across environments, and they can be used to predict the performance of genotypes in non-tested locations. Therefore, it is important to quantify the effects of environmental covariates on species performance for economic traits. The objective of this study was to evaluate the effects of diverse environmental factors on bermudagrass (Cynodon Rich. species), St. Augustinegrass (Stenotaphrum secundatum (Walter) Kuntze), seashore paspalum (Paspalum vaginatum Swartz) and zoysiagrass (Zoysia Willd. species) breeding lines from the breeding programs at Oklahoma State University, University of Georgia, North Carolina State University, Texas A&M University, University of Florida, and University of California. Field trials arranged as randomized complete-block designs were planted at research facilities of the above-mentioned universities in 2020. Hundreds of breeding lines of each species and commercial cultivars have been evaluated in nurseries and advanced trials. The percentage of green cover was evaluated in the establishment year using visual ratings and images collected via Unmanned Aircraft Systems and Canopeo. Climatic, soil, and geographic data were collected using EnvRtype-R and SoilType-R. The phenotypic data was analyzed using a mixed model approach, and cross-validation was performed to select environmental covariates using the elastic-net regression model. The heritability was above 0.5 for the majority of locations in advanced and nursery trials, except for the seashore paspalum advanced trial and the St. Augustinegrass nursery trial. The most relevant environmental covariates ranged across species. The variables percent of clay, the effect of temperature on radiation use efficiency, latitude, total precipitation, dew/frost point temperature, and wind speed were selected in most models. Future analysis will use environmental covariates to investigate its effects on other evaluated traits, define breeding zones, and recommend cultivars for non-tested locations." |
| Language: | English |
| References: | 0 |
| Note: | "221-13" This item is an abstract only! |
| ASA/CSSA/SSSA Citation (Crop Science-like – may be incomplete): | Gouveia, B. T., G. de Siqueira Gesteira, J. Zhang, B. M. Schwartz, Y. Wu, K. E. Kenworthy, et al. 2023. Effect of environmental covariates on establishment rate in warm-season turfgrass species. Agron. Abr. p. 149658. |
| Fastlink to access this record outside TGIF: | http://tic.msu.edu/tgif/flink/RECNO/333420 |
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| Web URL(s) : | https://scisoc.confex.com/scisoc/2023am/meetingapp.cgi/Paper/149658 Last checked: 12/01/2023 |
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