Selection strategies for growth characters and rubber yield in two populations of rubber trees in Brazil
•Estimates of estimated genetic parameters between growth traits and dry rubber production for the two rubber populations indicate a favorable selection situation.•The MEI-based selection provided promising selection gains without drastically affecting effective size and diversity in rubber populati...
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Published in: | Industrial crops and products Vol. 118; pp. 118 - 124 |
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01-08-2018
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Abstract | •Estimates of estimated genetic parameters between growth traits and dry rubber production for the two rubber populations indicate a favorable selection situation.•The MEI-based selection provided promising selection gains without drastically affecting effective size and diversity in rubber populations.•The MEI is the most appropriate strategy being selection within families, providing adequate levels of genetic variability and possible seed orchard formation.
The objective of this work was to evaluate the genetic parameters and estimate genetic gains in two populations of Hevea brasiliensis. The first population of the study is originated from the primary forest of Rio Branco – Acre (wild population – PS), and the other population is originated from clonal matrices (improved population – PM). Thirty-seven progenies were evaluated at 23 years for PS. For PM, 31 progenies at eight years of age were evaluated for growth traits and dry rubber yield. Estimates of the genetic parameters were made using the univariate linear mixed-model additive model REML/BLUP and gains in selection by the Multi-Effects Index (MEI) method. The selection strategies of 50%, 40% and 22% of individuals for the character of dry rubber yield (PBS) and stem perimeter (PAP) using the multi-effects index revealed high and low selection gains in both populations. For MP, the strategy of selection between and within progenies was more appropriate and for PS, the individual selection. The gains obtained in the selection were 54% for the PBS character in the improved population of 0.46% for the PAP character for the wild population. |
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AbstractList | •Estimates of estimated genetic parameters between growth traits and dry rubber production for the two rubber populations indicate a favorable selection situation.•The MEI-based selection provided promising selection gains without drastically affecting effective size and diversity in rubber populations.•The MEI is the most appropriate strategy being selection within families, providing adequate levels of genetic variability and possible seed orchard formation.
The objective of this work was to evaluate the genetic parameters and estimate genetic gains in two populations of Hevea brasiliensis. The first population of the study is originated from the primary forest of Rio Branco – Acre (wild population – PS), and the other population is originated from clonal matrices (improved population – PM). Thirty-seven progenies were evaluated at 23 years for PS. For PM, 31 progenies at eight years of age were evaluated for growth traits and dry rubber yield. Estimates of the genetic parameters were made using the univariate linear mixed-model additive model REML/BLUP and gains in selection by the Multi-Effects Index (MEI) method. The selection strategies of 50%, 40% and 22% of individuals for the character of dry rubber yield (PBS) and stem perimeter (PAP) using the multi-effects index revealed high and low selection gains in both populations. For MP, the strategy of selection between and within progenies was more appropriate and for PS, the individual selection. The gains obtained in the selection were 54% for the PBS character in the improved population of 0.46% for the PAP character for the wild population. |
Author | de Moraes, Marcela Aparecida da Silva, Janaína Rodrigues da Silva, Alonso Ângelo Kubota, Thaisa Yuriko Kuboyama Cambuim, José Moreira, Juliana Prado de Souza Gonçalves, Paulo Alves, Patrícia Ferreira de Moraes, Mario Luiz Teixeira Dourado, Cecília Luzia |
Author_xml | – sequence: 1 givenname: Cecília Luzia orcidid: 0000-0001-7330-3983 surname: Dourado fullname: Dourado, Cecília Luzia email: douradocl.cl@gmail.com organization: Universidade do Estado de Mato Grasso/UNEMAT, CP 08, Rua Prof. Dr. Renato Figueiro Varella, Nova Xavantina, Mato Grosso State, 78690-000, Brazil – sequence: 2 givenname: Marcela Aparecida surname: de Moraes fullname: de Moraes, Marcela Aparecida organization: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto/USP, Ribeirão Preto, SP, 14040-901, Brazil – sequence: 3 givenname: Patrícia Ferreira surname: Alves fullname: Alves, Patrícia Ferreira organization: Faculdade de Engenharia de Ilha Solteira/UNESP, Ilha Solteira, SP, CP 31, 15385-000, Brazil – sequence: 4 givenname: Thaisa Yuriko Kuboyama surname: Kubota fullname: Kubota, Thaisa Yuriko Kuboyama organization: Faculdade de Engenharia de Ilha Solteira/UNESP, Ilha Solteira, SP, CP 31, 15385-000, Brazil – sequence: 5 givenname: Janaína Rodrigues surname: da Silva fullname: da Silva, Janaína Rodrigues organization: Faculdade de Engenharia de Ilha Solteira/UNESP, Ilha Solteira, SP, CP 31, 15385-000, Brazil – sequence: 6 givenname: Juliana Prado surname: Moreira fullname: Moreira, Juliana Prado organization: Faculdade de Engenharia de Ilha Solteira/UNESP, Ilha Solteira, SP, CP 31, 15385-000, Brazil – sequence: 7 givenname: Alonso Ângelo surname: da Silva fullname: da Silva, Alonso Ângelo organization: Faculdade de Engenharia de Ilha Solteira/UNESP, Ilha Solteira, SP, CP 31, 15385-000, Brazil – sequence: 8 givenname: José surname: Cambuim fullname: Cambuim, José organization: Faculdade de Engenharia de Ilha Solteira/UNESP, Ilha Solteira, SP, CP 31, 15385-000, Brazil – sequence: 9 givenname: Paulo surname: de Souza Gonçalves fullname: de Souza Gonçalves, Paulo organization: Instituto Agronômico de Campinas/IAC, Campinas, SP, CP 28, 13012-970, Brazil – sequence: 10 givenname: Mario Luiz Teixeira surname: de Moraes fullname: de Moraes, Mario Luiz Teixeira organization: Faculdade de Engenharia de Ilha Solteira/UNESP, Ilha Solteira, SP, CP 31, 15385-000, Brazil |
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Cites_doi | 10.1590/1984-70332016v16n4a49 10.1016/j.indcrop.2013.10.038 10.1590/S0100-204X2011000900015 10.1590/S1415-47572000000200035 10.18671/scifor.v44n109.10 10.1590/S0006-87052008000300013 10.1515/sg-2005-0025 10.1590/S0006-87052010000100007 10.1590/S1415-47572005000500018 10.1016/j.indcrop.2017.01.017 10.1590/S0100-204X2010001200012 10.1515/sg-2016-0004 10.1590/S0100-204X2013000400009 10.1590/0034-737X201562050002 10.3738/1982.2278.691 10.1590/S0103-90162006000300006 10.1590/S0100-67622009000200007 10.1590/S1415-47572000000300028 10.4336/2010.pfb.30.62.107 |
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Keywords | Hevea brasiliensis Multi-effect index Estimation of genetic parameters Rubber yield Selection gains |
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