Predicting Additive and Non-additive Genetic Effects from Trials Where Traits Are Affected by Interplot Competition

被引:11
|
作者
Hunt, Colleen H. [1 ,2 ]
Smith, Alison B. [3 ]
Jordan, David R. [4 ]
Cullis, Brian R. [3 ,5 ]
机构
[1] Queensland Dept Agr Fisheries & Forestry, Hermitage Res Stn, Warwick, Qld 4370, Australia
[2] Univ Queensland, Sch Agr & Food Sci, Brisbane, Qld, Australia
[3] Univ Wollongong, Sch Math & Appl Stat, Fac Informat, Wollongong, NSW, Australia
[4] Queensland Alliance Agr & Food Innovat, Hermitage Res Stn, Warwick, Qld 4370, Australia
[5] CSIRO, Clayton, Vic 3168, Australia
关键词
Mixed models; Statistical analysis; Variogram; Spatial trends; Competition; Pure stand; Pedigree information; Parental effects; SPATIAL-ANALYSIS; ENVIRONMENT; VARIETY; SELECTION; PEDIGREE; SERIES; YIELD; OIL;
D O I
10.1007/s13253-012-0117-7
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
There are two key types of selection in a plant breeding program, namely selection of hybrids for potential commercial use and the selection of parents for use in future breeding. Oakey et al. (in Theoretical and Applied Genetics 113, 809-819, 2006) showed how both of these aims could be achieved using pedigree information in a mixed model analysis in order to partition genetic effects into additive and non-additive effects. Their approach was developed for field trial data subject to spatial variation. In this paper we extend the approach for data from trials subject to interplot competition. We show how the approach may be used to obtain predictions of pure stand additive and non-additive effects. We develop the methodology in the context of a single field trial using an example from an Australian sorghum breeding program.
引用
收藏
页码:53 / 63
页数:11
相关论文
共 50 条
  • [41] Strategies and considerations for implementing genomic selection to improve traits with additive and non-additive genetic architectures in sugarcane breeding
    Kai P. Voss-Fels
    Xianming Wei
    Elizabeth M. Ross
    Matthias Frisch
    Karen S. Aitken
    Mark Cooper
    Ben J. Hayes
    Theoretical and Applied Genetics, 2021, 134 : 1493 - 1511
  • [42] Non-additive genetic variation in growth, carcass and fertility traits of beef cattle
    Bolormaa, Sunduimijid
    Pryce, Jennie E.
    Zhang, Yuandan
    Reverter, Antonio
    Barendse, William
    Hayes, Ben J.
    Goddard, Michael E.
    GENETICS SELECTION EVOLUTION, 2015, 47
  • [43] Strategies and considerations for implementing genomic selection to improve traits with additive and non-additive genetic architectures in sugarcane breeding
    Voss-Fels, Kai P.
    Wei, Xianming
    Ross, Elizabeth M.
    Frisch, Matthias
    Aitken, Karen S.
    Cooper, Mark
    Hayes, Ben J.
    THEORETICAL AND APPLIED GENETICS, 2021, 134 (05) : 1493 - 1511
  • [44] Joint association analysis of additive and non-additive genomic effects for growth and carcass traits of beef cattle
    Akanno, E. C.
    Abo-Ismail, M. K.
    Chen, L.
    Li, C.
    Basarab, J.
    Plastow, G.
    JOURNAL OF ANIMAL SCIENCE, 2016, 94 : 149 - 149
  • [45] Epistasis and the conversion of non-additive to additive genetic variance at population bottlenecks
    López-Fanjul, C
    Fernández, A
    Toro, MA
    THEORETICAL POPULATION BIOLOGY, 2000, 58 (01) : 49 - 59
  • [46] ADDITIVE AND NON-ADDITIVE GENETIC EFFECTS FOR VARIOUS ECONOMIC TRAITS AMONG SAHIWAL AND SAHIWAL X HOLSTEIN CROSS-BRED GRADES
    TANEJA, VK
    BHAT, PN
    INDIAN JOURNAL OF ANIMAL SCIENCES, 1978, 48 (12): : 845 - 852
  • [47] Genetic dissection of complex traits in citrus: additive and non-additive genetic variances, inbreeding depression, and single-chromosome heritability
    Imai, Atsushi
    Kuniga, Takeshi
    Yoshioka, Terutaka
    Nonaka, Keisuke
    Mitani, Nobuhito
    SCIENTIA HORTICULTURAE, 2023, 315
  • [48] The Importance of Additive and Non-Additive Mutational Effects in Protein Engineering
    Reetz, Manfred T.
    ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 2013, 52 (10) : 2658 - 2666
  • [49] Non-additive Effects in Genomic Selection
    Varona, Luis
    Legarra, Andres
    Toro, Miguel A.
    Vitezica, Zulma G.
    FRONTIERS IN GENETICS, 2018, 9
  • [50] Predicting nonlinear and non-additive effects of climate: the Alpine ibex revisited
    Lima, Mauricio
    Berryman, Alan
    CLIMATE RESEARCH, 2006, 32 (02) : 129 - 135