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Web URL(s): | https://archive.lib.msu.edu/tic/its/articles/1997jou215.pdf Last checked: 09/29/2008 Requires: PDF Reader |
Access Restriction: | Certain MSU-hosted archive URLs may be restricted to legacy database members. |
Publication Type:
| Refereed |
Author(s): | Barker, R. E. |
Author Affiliation: | USDA-ARS National Forage and Turf Seed Research Center, Corvallis, Oregon, USA |
Title: | Statistics of cultivar discrimination: Are differences real? |
Section: | Breeding and genetics: Invited symposium papers Other records with the "Breeding and genetics: Invited symposium papers" Section
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Meeting Info.: | Sydney, Australia: 1997 |
Source: | International Turfgrass Society Research Journal. Vol. 8, No. Part 1, 1997, p. 215-227. |
Publishing Information: | Blacksburg, VA: International Turfgrass Society |
# of Pages: | 13 |
Keywords: | TIC Keywords: Cultivar identification; Models; Genetic markers; Futures
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Abstract/Contents: | "Describing and distinguishing turfgrass cultivars is an objective of public and private research programs. Historically, performance of a characteristic measured in a field-grown turf plot or observation of morphological descriptors were used to separate one cultivar from another. Application of efficient field plot designs and use of traditional statistical models with appropriate mean separation techniques is necessary to ensure differences among cultivars are detected with an α probability of a Type I error. Economic differences, however, may be utilised if an end-user is willing to risk a Type II error at the β level. With the large number of cultivars becoming available, rejection zone tactics could be replaced with publication of confidence intervals and t-tests with calculated probability levels (p-values) for comparisons of interest. Introduction of transgenic plants into outcrossed cultivars and other modern molecular technologies will still require final performance testing to 'prove' a new cultivar. Protection of intellectual property rights will make it more necessary to distinguish turfgrass cultivars and molecular techniques will increase in popularity as identification tools. Statistical methods used to separate cultivars are based on allelic and genotypic frequencies within cultivars. Variability can be detected and characterised using analysis of molecular variance (AMOVA) and relatedness among cultivars can be visualised with cluster and principal component analyses." |
Language: | English |
References: | 25 |
Note: | Figures Tables |
| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete): Barker, R. E. 1997. Statistics of cultivar discrimination: Are differences real?. Int. Turfgrass Soc. Res. J. 8(Part 1):p. 215-227. |
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| Web URL(s): https://archive.lib.msu.edu/tic/its/articles/1997jou215.pdf Last checked: 09/29/2008 Requires: PDF Reader |
| MSU catalog number: SB 433 .I52 v. 8 |
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