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| DOI: | 10.2135/cropsci2010.03.0158 |
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| Web URL(s): | https://acsess.onlinelibrary.wiley.com/doi/10.2135/cropsci2010.03.0158
Last checked: 03/24/2024
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https://acsess.onlinelibrary.wiley.com/doi/epdf/10.2135/cropsci2010.03.0158
Last checked: 03/24/2024
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| Publication Type:
| Refereed |
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| Author(s): | Ebdon, J. S.;
Gauch, H. G. Jr. |
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| Author Affiliation: | Ebdon: Dep. of Plant, Soil and Insect Sciences, Univ. of Massachusetts, Amherst, MA; Gauch: Crop and Soil Sciences, Cornell Univ., Ithaca, NY |
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| Title: | Direct validation of AMMI predictions in turfgrass trials |
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| Section: | Turfgrass science
Other records with the "Turfgrass science" Section
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| Source: | Crop Science. Vol. 51, No. 2, March 2011, p. 862-869. |
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| Publishing Information: | Madison, WI: Crop Science Society of America |
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| # of Pages: | 8 |
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| Keywords: | TIC Keywords: AMMI; Models; National Turfgrass Evaluation Program; Quality evaluation; Statistics
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| Abstract/Contents: | "Previous studies using turfgrass quality (TQ) data from the National Turfgrass Evaluation Program (NTEP) used cross validation with additive main effects and multiplicative interactions (AMMI) models to demonstrate accuracy gain within a single trial. The objective of this study is to test AMMI predictive accuracy for new years or new years x locations. Five winners recommended by the raw data AMMIF and five winners recommended by the more accurate AMMI5 model were selected, resulting in a 10-entry roster at six validation sites for evaluation over 5 yr. Average TQ for AMMI5 selections was 5.57 and was significantly greater than AMMIF selections averaging only 5.31. In five of six validation locations, higher TQ was observed by planting AMMI5 selections over AMMIF. The correlation between the 60 validation observations and AMMI5 predictions was 0.628 but for AMMIF was 0.479. Better predictive success indicated by a significantly lower mean squared deviation (MSD) was observed with AMMI5 (0.453) than AMMIF (0.608). The AMMI5 model predicted winners were five times as effective as AMMIF in predicting observed winners from the top group (rank one and two). There was decisive evidence of a parsimonious AMMI model increasing predictive success across years despite a meager 1.24 statistical efficiency with AMMI5." |
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| Language: | English |
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| References: | 35 |
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| Note: | Tables |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Ebdon, J. S., and H. G. Jr. Gauch. 2011. Direct validation of AMMI predictions in turfgrass trials. Crop Sci. 51(2):p. 862-869. |
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| DOI: 10.2135/cropsci2010.03.0158 |
| Web URL(s):
https://acsess.onlinelibrary.wiley.com/doi/10.2135/cropsci2010.03.0158
Last checked: 03/24/2024
Access conditions: Item is within a limited-access website
https://acsess.onlinelibrary.wiley.com/doi/epdf/10.2135/cropsci2010.03.0158
Last checked: 03/24/2024
Requires: PDF Reader
Access conditions: Item is within a limited-access website |
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MSU catalog number: b2211522a |
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