Prediction of Maize Single Cross Hybrids Using the Total Effects of Associated Markers Approach Assessed by Cross-Validation and Regional Trials
Joint Authors
Garcia Von Pinho, Renzo
Costa Melo, Wagner Mateus
Balestre, Marcio
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-03
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
The present study aimed to predict the performance of maize hybrids and assess whether the total effects of associated markers (TEAM) method can correctly predict hybrids using cross-validation and regional trials.
The training was performed in 7 locations of Southern Brazil during the 2010/11 harvest.
The regional assays were conducted in 6 different South Brazilian locations during the 2011/12 harvest.
In the training trial, 51 lines from different backgrounds were used to create 58 single cross hybrids.
Seventy-nine microsatellite markers were used to genotype these 51 lines.
In the cross-validation method the predictive accuracy ranged from 0.10 to 0.96, depending on the sample size.
Furthermore, the accuracy was 0.30 when the values of hybrids that were not used in the training population (119) were predicted for the regional assays.
Regarding selective loss, the TEAM method correctly predicted 50% of the hybrids selected in the regional assays.
There was also loss in only 33% of cases; that is, only 33% of the materials predicted to be good in training trial were considered to be bad in regional assays.
Our results show that the predictive validation of different crop conditions is possible, and the cross-validation results strikingly represented the field performance.
American Psychological Association (APA)
Costa Melo, Wagner Mateus& Garcia Von Pinho, Renzo& Balestre, Marcio. 2014. Prediction of Maize Single Cross Hybrids Using the Total Effects of Associated Markers Approach Assessed by Cross-Validation and Regional Trials. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1051623
Modern Language Association (MLA)
Costa Melo, Wagner Mateus…[et al.]. Prediction of Maize Single Cross Hybrids Using the Total Effects of Associated Markers Approach Assessed by Cross-Validation and Regional Trials. The Scientific World Journal No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1051623
American Medical Association (AMA)
Costa Melo, Wagner Mateus& Garcia Von Pinho, Renzo& Balestre, Marcio. Prediction of Maize Single Cross Hybrids Using the Total Effects of Associated Markers Approach Assessed by Cross-Validation and Regional Trials. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1051623
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051623