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

被引:0
|
作者
Guilherme Augusto Peres Silva
Salvador Alejandro Gezan
Melissa Pisaroglo de Carvalho
Lígia Regina Lima Gouvêa
Cecília Khusala Verardi
André Luis Bombonato de Oliveira
Paulo de Souza Gonçalves
机构
[1] Instituto Agronômico de Campinas,School of Forest Resources and Conservation
[2] Programa Seringueira,undefined
[3] University of Florida,undefined
来源
Tree Genetics & Genomes | 2014年 / 10卷
关键词
Yield; Genetic parameters; Narrow-sense heritability; Genetic correlations; Genetic gain; Genotype-by-environment interaction;
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
页码:1511 / 1518
页数:7
相关论文
共 50 条
  • [31] Genotype-by-environment interactions for mean performance and trait variation in house fly larvae reared on two diets
    Laursen, Stine Frey
    Hansen, Laura Skrubbeltrang
    Bahrndorff, Simon
    Nielsen, Hanne Marie
    Sahana, Goutam
    Sorensen, Jesper Givskov
    Orsted, Michael
    Kristensen, Torsten Nygaard
    ENTOMOLOGIA EXPERIMENTALIS ET APPLICATA, 2024,
  • [32] Estimation of Genetic Parameters by Single-Trait and Multi-Trait Models for Carcass Traits in Hanwoo Cattle
    Srivastava, Swati
    Lopez, Bryan Irvine
    de las Heras-Saldana, Sara
    Park, Jong-Eun
    Shin, Dong-Hyun
    Chai, Han-Ha
    Park, Woncheol
    Lee, Seung-Hwan
    Lim, Dajeong
    ANIMALS, 2019, 9 (12):
  • [33] The statistical analysis of multi-environment data: modeling genotype-by-environment interaction and its genetic basis
    Malosetti, Marcos
    Ribaut, Jean-Marcel
    van Eeuwijk, Fred A.
    FRONTIERS IN PHYSIOLOGY, 2013, 4
  • [34] Comparison of REML and Gibbs sampling estimates of multi-trait genetic parameters in Scots pine
    Waldmann, Patrik
    Ericsson, Tore
    THEORETICAL AND APPLIED GENETICS, 2006, 112 (08) : 1441 - 1451
  • [35] Updating knowledge in estimating the genetics parameters: Multi-trait and Multi-Environment Bayesian analysis in rice
    Azevedo, Camila Ferreira
    Valiati Barreto, Cynthia Aparecida
    Suela, Matheus Massariol
    Nascimento, Moyses
    da Silva Junior, Antonio Carlos
    Campana Nascimento, Ana Carolina
    Cruz, Cosme Damiao
    Soraes, Plinio Cesar
    SCIENTIA AGRICOLA, 2023, 80
  • [36] Estimation of genetic parameters for growth traits in Tabapua cattle using a multi-trait model
    de Oliveira Menezes, Gilberto Romeiro
    Torres, Robledo de Almeida
    de Almeida Torres Junior, Roberto Augusto
    Campos da Silva, Luiz Otavio
    Gondo, Andrea
    Euclydes, Ricardo Frederico
    REVISTA BRASILEIRA DE ZOOTECNIA-BRAZILIAN JOURNAL OF ANIMAL SCIENCE, 2013, 42 (08): : 570 - 574
  • [37] Comparison of REML and Gibbs sampling estimates of multi-trait genetic parameters in Scots pine
    Patrik Waldmann
    Tore Ericsson
    Theoretical and Applied Genetics, 2006, 112 : 1441 - 1451
  • [38] Estimation of genetic parameters for daily gains of bulls with multi-trait and random regression models
    Krejcova, Hana
    Mielenz, Norbert
    Pribyl, Josef
    Schueler, Lutz
    ARCHIV FUR TIERZUCHT-ARCHIVES OF ANIMAL BREEDING, 2007, 50 (01): : 37 - 46
  • [39] Relative costs and benefits of alternative reproductive phenotypes at different temperatures – genotype-by-environment interactions in a sexually selected trait
    Agata Plesnar-Bielak
    Anna Maria Skwierzyńska
    Kasper Hlebowicz
    Jacek Radwan
    BMC Evolutionary Biology, 18
  • [40] The Potential for Genotype-by-Environment Interactions to Maintain Genetic Variation in a Model Legume-Rhizobia Mutualism
    Vaidya, Priya
    Stinchcombe, John R.
    PLANT COMMUNICATIONS, 2020, 1 (06)