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Genetic parameters in a rubber tree population: heritabilities, genotype-by-environment interactions and multi-trait correlations

Rubber tree breeding programs are mainly driven by selection of individuals with high yield and quality of rubber. Data from 51 open-pollinated progenies tested on six sites in Brazil were analyzed over several traits to estimate the following: genetic parameters such as narrow-sense heritability an...

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Published in:Tree genetics & genomes 2014-12, Vol.10 (6), p.1511-1518
Main Authors: Silva, Guilherme Augusto Peres, Gezan, Salvador Alejandro, de Carvalho, Melissa Pisaroglo, Gouvêa, Lígia Regina Lima, Verardi, Cecília Khusala, de Oliveira, André Luis Bombonato, Gonçalves, Paulo de Souza
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Language:English
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Summary:Rubber tree breeding programs are mainly driven by selection of individuals with high yield and quality of rubber. Data from 51 open-pollinated progenies tested on six sites in Brazil were analyzed over several traits to estimate the following: genetic parameters such as narrow-sense heritability and additive genetic variance in single- and multi-site analyses, type B correlations to determine the relevance of genotype-by-environment interactions and its effects on alternative selection strategies, additive genetic repeatability correlation for rubber yield based on three consecutive yearly measurements, and type A correlations to evaluate trait-to-trait genetic associations for all measured traits. Average rubber yield (RYm) showed an estimated narrow-sense heritability of 0.31, with an estimated type B correlation of 0.84, indicating low levels of genotype-by-environment interaction. The trait survival and number of latex vessel rings (RG) showed larger genotype-by-environment interaction and the lowest heritabilites. High to moderate type B correlation was found for most traits, with a value of 0.85 between diameter (or girth) and RYm; therefore, it is possible to achieve interesting rubber yield genetic gains (over 3 years of measurements) from indirect selection based on diameter at age 2.
ISSN:1614-2942
1614-2950
DOI:10.1007/s11295-014-0766-5