Pattern analysis of multi-environment trials in bread wheat
Titel:
Pattern analysis of multi-environment trials in bread wheat
Auteur:
Yuksel Kaya Mevlut Akcura Ramazan Ayranci Seyfi Taner
Verschenen in:
Communications in biometry and crop science
Paginering:
Jaargang 1 (2006) nr. 2 pagina's 63-71
Jaar:
2006
Inhoud:
To detect genotype-by-environment interactions (GEIs), pattern analysis (PA) was performed on yield data of 20 bread wheat (Triticum aestivum L.) genotypes tested across nine environments during the 2001-2002 growing season in the Central Anatolian Region of Turkey. Nine clusters of genotypes with similar patterns in performance, mostly reflecting their origin and pedigree, were identified. Most of the genotypes from the National Bread Wheat Improvement Program (NBWIP), Turkey, fell into one of the two broad genotypic clusters, whereas most of those from the International Winter Wheat Improvement Program (IWWIP), a collaborative breeding program among Turkey, CIMMYT and ICARDA, were clustered together in another cluster. Six clusters of the environments with similar trends in discriminating genotypes were identified; discrimination of the environments tested indicated that there existed two distinct main types of environments: rain-fed and irrigated. However, the rain-fed environment E2 (Eskisehir) joined the irrigated environments, whereas the irrigated environment E9 (Haymana) was clustered with the rain-fed environments. Irrigated environments E6 (Konya) and E7 (Cumra) contributed trivially to discrimination of the genotypes, as they exhibited a pattern that was almost identical to that of the irrigated environments. The first two principal components explained 53.3% of the total variation in GEI data. This study revealed that the genotypes with a common parent in their pedigree or with the same origin tended to be clustered together. All the genotypes from the NBWIP and one-third of genotypes from the IWWIP were stable; therefore, the NBWIP could be strengthened by introductions from the IWWIP. Environmental cluster analysis effectively identified trials that received rainfall and supplementary irrigation. It might be possible to reduce the number of test environments by eliminating one or more of those that differentiate among genotypes in a similar manner (e.g., irrigated environments E6 in Konya and E7 in Cumra).
Uitgever:
Faculty of Agriculture and Biology, Warsaw Agricultural University, Poland