@article{baltunis_genetic_2010,
	title = {Genetic {Parameters} and {Genotype} by {Environment} {Interaction} in {Radiata} {Pine} for {Growth} and {Wood} {Quality} {Traits} in {Australia}},
	volume = {59},
	issn = {2509-8934},
	url = {https://www.sciendo.com/article/10.1515/sg-2010-0014},
	doi = {10/gkgfsb},
	abstract = {Abstract
            
              The phenotypic response of genotypes across different environments can be quantified by estimating the genotype by environment interaction (GxE). In a practical sense, GxE means that the relative performance of genotypes does not remain constant under all test conditions. Genetic parameters and genotype by environment interactions for wood density, growth, branching characteristics and stem straightness were investigated in eight radiata pine progeny trials derived from a second generation breeding population in Australia. Five trials were on the mainland, while three trials were in Tasmania. Generally, ĥ
              2
              for density {\textgreater} branch angle {\textgreater} stem straightness {\textgreater} tree diameter {\textgreater} branch size; and significant ĥ
              2
              was observed for all traits and at all trials with only two exceptions. Genetic correlations were estimated among the five traits, and a large negative genetic correlation observed between wood density and tree diameter indicated that a selection strategy should be developed in dealing with this adverse genetic correlation in advanced generations of breeding for radiata pine. Interactions for density, branch angle, and stem straightness were small within the two regions. Overall, branch angle had the least GxE, followed by density and stem straightness. Growth traits (tree diameter and branch size) tended to be the most interactive with substantial GxE present. Genotype by regional interactions (Mainland versus Tasmania) revealed that density and branch angle had the least interactions (ȓ
              B
              = 0.98 and ȓ
              B
              = 0.95, respectively). Branch size and tree diameter had the highest interactions among the two regions (ȓ
              B
              = 0.55 and ȓ
              B
              = 0.63, respectively). Within Tasmania, only branch size and tree diameter had a sizable interaction within the three sites. In contrast, there was little interaction for tree diameter among the Mainland trials. Branch size in the Mainland trials had a similar size of interaction as in Tasmania. Further research is recommended in identifying the cause of GxE for tree diameter and branch size in radiata pine across the entire radiata pine estate in Australia.},
	language = {en},
	number = {1-6},
	urldate = {2021-06-08},
	journal = {Silvae Genetica},
	author = {Baltunis, Brian. S. and Gapare, W. J. and Wu, H. X.},
	month = dec,
	year = {2010},
	pages = {113--124},
}

{"_id":"Q9ugXNh5jsTyrmQcE","bibbaseid":"baltunis-gapare-wu-geneticparametersandgenotypebyenvironmentinteractioninradiatapineforgrowthandwoodqualitytraitsinaustralia-2010","author_short":["Baltunis, B. S.","Gapare, W. J.","Wu, H. X."],"bibdata":{"bibtype":"article","type":"article","title":"Genetic Parameters and Genotype by Environment Interaction in Radiata Pine for Growth and Wood Quality Traits in Australia","volume":"59","issn":"2509-8934","url":"https://www.sciendo.com/article/10.1515/sg-2010-0014","doi":"10/gkgfsb","abstract":"Abstract The phenotypic response of genotypes across different environments can be quantified by estimating the genotype by environment interaction (GxE). In a practical sense, GxE means that the relative performance of genotypes does not remain constant under all test conditions. Genetic parameters and genotype by environment interactions for wood density, growth, branching characteristics and stem straightness were investigated in eight radiata pine progeny trials derived from a second generation breeding population in Australia. Five trials were on the mainland, while three trials were in Tasmania. Generally, ĥ 2 for density \\textgreater branch angle \\textgreater stem straightness \\textgreater tree diameter \\textgreater branch size; and significant ĥ 2 was observed for all traits and at all trials with only two exceptions. Genetic correlations were estimated among the five traits, and a large negative genetic correlation observed between wood density and tree diameter indicated that a selection strategy should be developed in dealing with this adverse genetic correlation in advanced generations of breeding for radiata pine. Interactions for density, branch angle, and stem straightness were small within the two regions. Overall, branch angle had the least GxE, followed by density and stem straightness. Growth traits (tree diameter and branch size) tended to be the most interactive with substantial GxE present. Genotype by regional interactions (Mainland versus Tasmania) revealed that density and branch angle had the least interactions (ȓ B = 0.98 and ȓ B = 0.95, respectively). Branch size and tree diameter had the highest interactions among the two regions (ȓ B = 0.55 and ȓ B = 0.63, respectively). Within Tasmania, only branch size and tree diameter had a sizable interaction within the three sites. In contrast, there was little interaction for tree diameter among the Mainland trials. Branch size in the Mainland trials had a similar size of interaction as in Tasmania. Further research is recommended in identifying the cause of GxE for tree diameter and branch size in radiata pine across the entire radiata pine estate in Australia.","language":"en","number":"1-6","urldate":"2021-06-08","journal":"Silvae Genetica","author":[{"propositions":[],"lastnames":["Baltunis"],"firstnames":["Brian.","S."],"suffixes":[]},{"propositions":[],"lastnames":["Gapare"],"firstnames":["W.","J."],"suffixes":[]},{"propositions":[],"lastnames":["Wu"],"firstnames":["H.","X."],"suffixes":[]}],"month":"December","year":"2010","pages":"113–124","bibtex":"@article{baltunis_genetic_2010,\n\ttitle = {Genetic {Parameters} and {Genotype} by {Environment} {Interaction} in {Radiata} {Pine} for {Growth} and {Wood} {Quality} {Traits} in {Australia}},\n\tvolume = {59},\n\tissn = {2509-8934},\n\turl = {https://www.sciendo.com/article/10.1515/sg-2010-0014},\n\tdoi = {10/gkgfsb},\n\tabstract = {Abstract\n \n The phenotypic response of genotypes across different environments can be quantified by estimating the genotype by environment interaction (GxE). In a practical sense, GxE means that the relative performance of genotypes does not remain constant under all test conditions. Genetic parameters and genotype by environment interactions for wood density, growth, branching characteristics and stem straightness were investigated in eight radiata pine progeny trials derived from a second generation breeding population in Australia. Five trials were on the mainland, while three trials were in Tasmania. Generally, ĥ\n 2\n for density {\\textgreater} branch angle {\\textgreater} stem straightness {\\textgreater} tree diameter {\\textgreater} branch size; and significant ĥ\n 2\n was observed for all traits and at all trials with only two exceptions. Genetic correlations were estimated among the five traits, and a large negative genetic correlation observed between wood density and tree diameter indicated that a selection strategy should be developed in dealing with this adverse genetic correlation in advanced generations of breeding for radiata pine. Interactions for density, branch angle, and stem straightness were small within the two regions. Overall, branch angle had the least GxE, followed by density and stem straightness. Growth traits (tree diameter and branch size) tended to be the most interactive with substantial GxE present. Genotype by regional interactions (Mainland versus Tasmania) revealed that density and branch angle had the least interactions (ȓ\n B\n = 0.98 and ȓ\n B\n = 0.95, respectively). Branch size and tree diameter had the highest interactions among the two regions (ȓ\n B\n = 0.55 and ȓ\n B\n = 0.63, respectively). Within Tasmania, only branch size and tree diameter had a sizable interaction within the three sites. In contrast, there was little interaction for tree diameter among the Mainland trials. Branch size in the Mainland trials had a similar size of interaction as in Tasmania. Further research is recommended in identifying the cause of GxE for tree diameter and branch size in radiata pine across the entire radiata pine estate in Australia.},\n\tlanguage = {en},\n\tnumber = {1-6},\n\turldate = {2021-06-08},\n\tjournal = {Silvae Genetica},\n\tauthor = {Baltunis, Brian. S. and Gapare, W. J. and Wu, H. X.},\n\tmonth = dec,\n\tyear = {2010},\n\tpages = {113--124},\n}\n\n\n\n\n\n\n\n\n\n\n\n","author_short":["Baltunis, B. S.","Gapare, W. J.","Wu, H. X."],"key":"baltunis_genetic_2010","id":"baltunis_genetic_2010","bibbaseid":"baltunis-gapare-wu-geneticparametersandgenotypebyenvironmentinteractioninradiatapineforgrowthandwoodqualitytraitsinaustralia-2010","role":"author","urls":{"Paper":"https://www.sciendo.com/article/10.1515/sg-2010-0014"},"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/zotero/upscpub","dataSources":["fvfkWcShg3Mybjoog","Tu3jPdZyJF3j547xT","9cGcv2t8pRzC92kzs","3zTPPmKj8BiTcpc6C"],"keywords":[],"search_terms":["genetic","parameters","genotype","environment","interaction","radiata","pine","growth","wood","quality","traits","australia","baltunis","gapare","wu"],"title":"Genetic Parameters and Genotype by Environment Interaction in Radiata Pine for Growth and Wood Quality Traits in Australia","year":2010}