TY - JOUR
T1 - Application of GGE biplot analysis to evaluate genotype (G), environment (E) and GxE interaction on Pinus radiata: A case study
AU - Wu, Harry
AU - Ding, M.
AU - Tier, B.
AU - Yan, W.
AU - Powell, M. B.
AU - McRae, T. A.
PY - 2008
Y1 - 2008
N2 - Genetics, genetics×environment (GGE) biplot analysis is an effective method, based on principal component analysis, to fully explore multi-environment trial data. It allows visual examination of the relationships among the test environments, genotypes, and the genotype × environment (G×E) interactions. Data from multi-environment trials of P. radiata D. Don containing 165 to 216 families in five environments were used to demonstrate the results and application of GGE biplot analysis. There were non-overlapping clusters of two and three sites, which indicated two distinct environments. The best family for both of the distinct environments was also identified. Genetic correlations among sites ranged from 0.98 to –0.50, indicating that there were large G×E interactions among the test environments.
AB - Genetics, genetics×environment (GGE) biplot analysis is an effective method, based on principal component analysis, to fully explore multi-environment trial data. It allows visual examination of the relationships among the test environments, genotypes, and the genotype × environment (G×E) interactions. Data from multi-environment trials of P. radiata D. Don containing 165 to 216 families in five environments were used to demonstrate the results and application of GGE biplot analysis. There were non-overlapping clusters of two and three sites, which indicated two distinct environments. The best family for both of the distinct environments was also identified. Genetic correlations among sites ranged from 0.98 to –0.50, indicating that there were large G×E interactions among the test environments.
KW - GGE biplot
KW - principal component analysis
KW - G×E interaction
KW - Pinus radiata.
KW - GGE biplot
KW - principal component analysis
KW - G×E interaction
KW - Pinus radiata.
UR - https://res.slu.se/id/publ/106526
UR - https://www.scionresearch.com/__data/assets/pdf_file/0008/59039/NZJFS_38_12008_Ding_et_al_132-142.pdf
M3 - Journal article
SN - 0048-0134
VL - 38
SP - 132
EP - 142
JO - New Zealand Journal of Forestry Science
JF - New Zealand Journal of Forestry Science
IS - 1
ER -