Genotype x Environment Interaction in Pinus patula and its implications in South Africa

dc.contributor.advisorH. Lee Allen, Committee Memberen_US
dc.contributor.advisorBailian Li, Committee Memberen_US
dc.contributor.advisorGary R. Hodge, Committee Chairen_US
dc.contributor.advisorWilliam S. Dvorak, Committee Memberen_US
dc.contributor.authorKanzler, Arnulfen_US
dc.date.accessioned2010-04-02T18:26:21Z
dc.date.available2010-04-02T18:26:21Z
dc.date.issued2002-06-13en_US
dc.degree.disciplineForestryen_US
dc.degree.leveldissertationen_US
dc.degree.namePhDen_US
dc.description.abstractThe Genotype x environment interaction was examined using 81 provenance and / or progeny tests of Pinus patula over 54 sites in Southern Africa (South Africa and Swaziland). Type B genetic correlation estimates were calculated for all possible pairs of tests amongst these trials. The mean Type B genetic correlation for all tests across all sites was 0.69. The difference between the imported Mexican provenance material and a range of South African genetically improved populations was minimal with estimates of 0.68 and 0.70, respectively. Standardization of the data had a small but significant effect on the estimates of genotype x environment interaction with increasing significance as growth differences amongst tests increased. The proportion of interactive genotypes was examined using the joint regression method, and varied markedly between populations. Amongst the imported Mexican material, the most interactive populations were found to be those originating from the northern part of the distribution of P. patula in Mexico. The proportion of interactive genotypes varied from 9 – 40% amongst the Mexican material and 10 – 16% for the South African families. Interacting environments were not restricted to a small number of sites and moderate levels of genotype x environment interaction were found across most sites. A range of climatic factors was examined in an attempt to define regions of predictable, minimal genotype x environment interaction. Some variables related to the spring rainfall and winter potential evaporation were identified and utilized in provisional models that were able to differentiate a difference in Type B genetic correlation estimates of 0.11. Small predicted genetic gains of between 0.5 – 1.5 % were estimated when utilizing the benefits of regionalization as proposed in these models. The breeding strategy and testing procedures are discussed in the context of P. patula within the region.en_US
dc.identifier.otheretd-06132002-032333en_US
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.16/3058
dc.rightsI hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.en_US
dc.subjectregionalisationen_US
dc.subjectSouth Africaen_US
dc.subjectType B genetic correlationsen_US
dc.subjectGenetic gainen_US
dc.subjectsiteen_US
dc.subjectPinus patulaen_US
dc.subjectGenotype x Environment interactionen_US
dc.titleGenotype x Environment Interaction in Pinus patula and its implications in South Africaen_US

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