Evaluation of maize hybrids and environmental stratification by the methods AMMI and GGE biplot
The purpose of this study was to evaluate yield stability, adaptability and environmental stratification by the methods AMMI (Additive Main Effects and Multiplicative Interaction Analysis) and GGE (Genotype and Genotypes by Environment Interaction) biplot and to compare the efficiency of these methods. Data from the evaluation of 20 experimental single-cross and three commercial hybrids and 11 locations, in two growing seasons, 2005/2006 and 2006/2007 were used. Analyses of variance, adaptability, stability and environmental stratification were performed. A better combination of adaptability and stability was observed in the hybrids 10 and 16, according to the graphics of AMMI and GGE biplot methods, respectively. The number of locations could be reduced by 28% based on stratification. The predictive correlation of the AMMI and GGE methods was 0.88 and 0.86, respectively. The results showed that it is possible to reduce the number of evaluation sites; AMMI tended to be more accurate than GGE analysis.
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Digital revista |
| Language: | English |
| Published: |
Crop Breeding and Applied Biotechnology
2010
|
| Online Access: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332010000300010 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
oai:scielo:S1984-70332010000300010 |
|---|---|
| record_format |
ojs |
| spelling |
oai:scielo:S1984-703320100003000102011-04-15Evaluation of maize hybrids and environmental stratification by the methods AMMI and GGE biplotOliveira,Rogério Lunezzo deVon Pinho,Renzo GarciaBalestre,MárcioFerreira,Denys Vitor Zea mays genotype by environment interaction mega-environments The purpose of this study was to evaluate yield stability, adaptability and environmental stratification by the methods AMMI (Additive Main Effects and Multiplicative Interaction Analysis) and GGE (Genotype and Genotypes by Environment Interaction) biplot and to compare the efficiency of these methods. Data from the evaluation of 20 experimental single-cross and three commercial hybrids and 11 locations, in two growing seasons, 2005/2006 and 2006/2007 were used. Analyses of variance, adaptability, stability and environmental stratification were performed. A better combination of adaptability and stability was observed in the hybrids 10 and 16, according to the graphics of AMMI and GGE biplot methods, respectively. The number of locations could be reduced by 28% based on stratification. The predictive correlation of the AMMI and GGE methods was 0.88 and 0.86, respectively. The results showed that it is possible to reduce the number of evaluation sites; AMMI tended to be more accurate than GGE analysis.info:eu-repo/semantics/openAccessCrop Breeding and Applied BiotechnologyCrop Breeding and Applied Biotechnology v.10 n.3 20102010-09-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332010000300010en10.1590/S1984-70332010000300010 |
| institution |
SCIELO |
| collection |
OJS |
| country |
Brasil |
| countrycode |
BR |
| component |
Revista |
| access |
En linea |
| databasecode |
rev-scielo-br |
| tag |
revista |
| region |
America del Sur |
| libraryname |
SciELO |
| language |
English |
| format |
Digital |
| author |
Oliveira,Rogério Lunezzo de Von Pinho,Renzo Garcia Balestre,Márcio Ferreira,Denys Vitor |
| spellingShingle |
Oliveira,Rogério Lunezzo de Von Pinho,Renzo Garcia Balestre,Márcio Ferreira,Denys Vitor Evaluation of maize hybrids and environmental stratification by the methods AMMI and GGE biplot |
| author_facet |
Oliveira,Rogério Lunezzo de Von Pinho,Renzo Garcia Balestre,Márcio Ferreira,Denys Vitor |
| author_sort |
Oliveira,Rogério Lunezzo de |
| title |
Evaluation of maize hybrids and environmental stratification by the methods AMMI and GGE biplot |
| title_short |
Evaluation of maize hybrids and environmental stratification by the methods AMMI and GGE biplot |
| title_full |
Evaluation of maize hybrids and environmental stratification by the methods AMMI and GGE biplot |
| title_fullStr |
Evaluation of maize hybrids and environmental stratification by the methods AMMI and GGE biplot |
| title_full_unstemmed |
Evaluation of maize hybrids and environmental stratification by the methods AMMI and GGE biplot |
| title_sort |
evaluation of maize hybrids and environmental stratification by the methods ammi and gge biplot |
| description |
The purpose of this study was to evaluate yield stability, adaptability and environmental stratification by the methods AMMI (Additive Main Effects and Multiplicative Interaction Analysis) and GGE (Genotype and Genotypes by Environment Interaction) biplot and to compare the efficiency of these methods. Data from the evaluation of 20 experimental single-cross and three commercial hybrids and 11 locations, in two growing seasons, 2005/2006 and 2006/2007 were used. Analyses of variance, adaptability, stability and environmental stratification were performed. A better combination of adaptability and stability was observed in the hybrids 10 and 16, according to the graphics of AMMI and GGE biplot methods, respectively. The number of locations could be reduced by 28% based on stratification. The predictive correlation of the AMMI and GGE methods was 0.88 and 0.86, respectively. The results showed that it is possible to reduce the number of evaluation sites; AMMI tended to be more accurate than GGE analysis. |
| publisher |
Crop Breeding and Applied Biotechnology |
| publishDate |
2010 |
| url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332010000300010 |
| work_keys_str_mv |
AT oliveirarogeriolunezzode evaluationofmaizehybridsandenvironmentalstratificationbythemethodsammiandggebiplot AT vonpinhorenzogarcia evaluationofmaizehybridsandenvironmentalstratificationbythemethodsammiandggebiplot AT balestremarcio evaluationofmaizehybridsandenvironmentalstratificationbythemethodsammiandggebiplot AT ferreiradenysvitor evaluationofmaizehybridsandenvironmentalstratificationbythemethodsammiandggebiplot |
| _version_ |
1756437577108291584 |