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
  • [1] Genetic parameters in a rubber tree population: heritabilities, genotype-by-environment interactions and multi-trait correlations
    Peres Silva, Guilherme Augusto
    Gezan, Salvador Alejandro
    de Carvalho, Melissa Pisaroglo
    Lima Gouvea, Ligia Regina
    Verardi, Cecilia Khusala
    Bombonato de Oliveira, Andre Luis
    Goncalves, Paulo de Souza
    TREE GENETICS & GENOMES, 2014, 10 (06) : 1511 - 1518
  • [2] Genetic parameters in subtropical pine F1 hybrids: heritabilities, between-trait correlations and genotype-by-environment interactions
    Pomerayi Mutete
    Ruramai Murepa
    Washington J Gapare
    Tree Genetics & Genomes, 2015, 11
  • [3] Genetic parameters in subtropical pine F1 hybrids: heritabilities, between-trait correlations and genotype-by-environment interactions
    Mutete, Pomerayi
    Murepa, Ruramai
    Gapare, Washington J.
    TREE GENETICS & GENOMES, 2015, 11 (05)
  • [4] The superiority of multi-trait models with genotype-by-environment interactions in a limited number of environments for genomic prediction in pigs
    Hailiang Song
    Qin Zhang
    Xiangdong Ding
    JournalofAnimalScienceandBiotechnology, 2021, 12 (01) : 207 - 219
  • [5] The superiority of multi-trait models with genotype-by-environment interactions in a limited number of environments for genomic prediction in pigs
    Song, Hailiang
    Zhang, Qin
    Ding, Xiangdong
    JOURNAL OF ANIMAL SCIENCE AND BIOTECHNOLOGY, 2020, 11 (01)
  • [6] The superiority of multi-trait models with genotype-by-environment interactions in a limited number of environments for genomic prediction in pigs
    Hailiang Song
    Qin Zhang
    Xiangdong Ding
    Journal of Animal Science and Biotechnology, 11
  • [7] Genotype by environment interactions, heritabilities and genetic correlations for productive traits of Haliotis rufescens
    Farias, William J.
    Winkler, Federico M.
    Brokordt, Katherina B.
    AQUACULTURE, 2017, 473 : 407 - 416
  • [8] Analysis of genotype-by-environment interactions in a maize mapping population
    Hudson, Asher, I
    Odell, Sarah G.
    Dubreuil, Pierre
    Tixier, Marie-Helene
    Praud, Sebastien
    Runcie, Daniel E.
    Ross-Ibarra, Jeffrey
    G3-GENES GENOMES GENETICS, 2022, 12 (03):
  • [9] Genotype-by-Environment Interaction and Trait Associations in Two Genetic Populations of Oat
    Yan, Weikai
    Fregeau-Reid, J.
    Pageau, Denis
    Martin, Richard
    CROP SCIENCE, 2016, 56 (03) : 1136 - 1145
  • [10] Multi-trait Improvement by Predicting Genetic Correlations in Breeding Crosses
    Neyhart, Jeffrey L.
    Lorenz, Aaron J.
    Smith, Kevin P.
    G3-GENES GENOMES GENETICS, 2019, 9 (10): : 3153 - 3165