Ann. For. Sci.
Volume 67, Number 6, September 2010
|Number of page(s)||9|
|Published online||08 July 2010|
Genotype × Environment interactions in Pinus pinaster at age 10 in a multi-environment trial in Portugal: a maximum likelihood approach
Instituto Superior de Agronomia, Tapada da Ajuda, 1349-017
2 Instituto Nacional de Investigación y Tecnologia Agraria y Alimentaria. Carretera de la Coruña Km 7.5, 28040 Madrid, Spain
3 Agriculture and Agri-Food Canada, 3010 Neatby Building, 960 Carling Ave., Ottawa, ON, K1A 0C6, Canada
4 Instituto Nacional dos Recursos Biológicos, I.P., Quinta do Marquês, 2780-159 Oeiras, Portugal
* Corresponding author:
Accepted: 2 December 2009
• To study adaptive variation and genotype x environment interactions (GE) of 30 populations from Portugal, Spain, France and Australia, we evaluated total height, diameter, stem form and survival in a multi-environment provenance trial in Portugal, 10 y after plantation, using the restricted maximum likelihood (REML) approach.
• Significant differentiation was found among populations and also among seedlots from Portugal, populations from different altitude classes and from different provenance regions. Seed orchards showed significantly better growth and stem form. GE interaction was significant for all traits which indicates the existence of differences on phenotypic plasticity among populations, and displayed a pattern that could be related to general or specific adaptation of populations, and/or to human-mediated germplasm transfer.
• Seed orchards, and the Monção and Leiria populations showed generally better growth and stem form, and some high altitude populations ranked higher in growth or survival (Bragança, S.Pedro do Sul, Manteigas-Pma30) at the high-altitude Montalegre site. There was a lack of genetic uniformity among populations of the same provenance region.
• Tentative recommendations are made for afforestation, breeding and conservation.
Key words: maritime pine / adaptive variation / provenance trial / likelihood-based analysis / GGE biplot
© INRA, EDP Sciences, 2010