Pattern of genotype by environment interaction for radiata pine in southern Australia

2018-11-23 未知

题目： Pattern of genotype by environment interaction for radiata pine in southern Australia

作者：Miloš Ivković1，Washington Gapare1，Huixiao Yang2，Gregory Dutkowski3，Peter Buxton4，Harry Wu1

单位：1.CSIRO Agriculture FlagshipCanberraAustralia；2.CSIRO and College of ForestryGuangdong Academy of ForestryGuangzhouChina；3.PlantPlan GeneticsHobartAustralia；4.Southern Tree Breeding AssociationMount GambierAustralia

期刊：Annals of Forest Science

摘要：Key message

Based on analyses using 20 美高梅ally connected radiata pine trials and on the pattern of trial-trial 美高梅 correlations, current regionalisation of breeding in southern Australia seems justified. However, relationships between environmental variables and genotype by environment interaction are complex.
       Context
       Current radiata pine breeding and deployment in Australia is based largely on the plantation inventory zones rather than on biological patterns of genotype by environment interaction (G × E), and consequently cannot deliver optimal 美高梅 gains across the whole plantation estate.
       Aim
       This study examined patterns of G × E to facilitate deployment of 美高梅 stock to particular environments.
       Methods
       We used 20 美高梅ally well-connected trials across southern Australia to obtain estimates of 美高梅 correlations between performances at different trial sites. Extended factor analyses (XFA) were used to estimate G × E variance and produce a matrix of site-site 美高梅 correlations. The patterns among these correlations were examined using a heat map and hierarchical clustering.
       Results
       The XFA captured a large proportion of both additive and non-additive G × E. Significant G × E for diameter growth can be expected between Tasmania and Mainland, and within Tasmania itself. The study also confirmed presence of G × E between Murray Valley region in New South Wales and the rest of southern Australia.
       Conclusion
       The G × E interaction at transcontinental scale can be correlated to the climate variables, primarily rainfall and temperature; however, the drivers of G × E may also be related to smaller scale environmental variation (i.e. soil and terrain variation).

关键词：Pinus radiata， Factor analysis， Breeding zones， Genotype deployment