Genotype-by-management interactions for grain yield and grain protein concentration of wheat


Autoria(s): Cooper, M.; Woodruff, D. R.; Phillips, I. G.; Basford, K. E.; Gilmour, A. R.
Data(s)

01/01/2001

Resumo

The magnitude of genotype-by-management (G x M) interactions for grain yield and grain protein concentration was examined in a multi-environment trial (MET) involving a diverse set of 272 advanced breeding lines from the Queensland wheat breeding program. The MET was structured as a series of management-regimes imposed at 3 sites for 2 years. The management-regimes were generated at each site-year as separate trials in which planting time, N fertiliser application rate, cropping history, and irrigation were manipulated. irrigation was used to simulate different rainfall regimes. From the combined analysis of variance, the G x M interaction variance components were found to be the largest source of G x E interaction variation for both grain yield (0.117 +/- 0.005 t(2) ha(-2); 49% of total G x E 0.238 +/- 0.028 t(2) ha(-2)) and grain protein concentration (0.445 +/- 0.020%(2); 82% of total G x E 0.546 +/- 0.057%(2)), and in both cases this source of variation was larger than the genotypic variance component (grain yield 0.068 +/- 0.014 t(2) ha(-2) and grain protein 0.203 +/- 0.026%(2)). The genotypic correlation between the traits varied considerably with management-regime, ranging from -0.98 to -0.31, with an estimate of 0.0 for one trial. Pattern analysis identified advanced breeding lines with improved grain yield and grain protein concentration relative to the cultivars Hartog, Sunco and Meteor. It is likely that a large component of the previously documented G x E interactions for grain yield of wheat in the northern grains region are in part a result of G x M interactions. The implications of the strong influence of G x M interactions for the conduct of wheat breeding METs in the northern region are discussed. (C) 2001 Elsevier Science B.V. All rights reserved.

Identificador

http://espace.library.uq.edu.au/view/UQ:60198

Idioma(s)

eng

Publicador

Elsevier Science

Palavras-Chave #Agronomy #Genotype X Environment Interaction #Broad And Specific Adaptation #Multi-environment Trials #Environment Interaction #3-way Data #Algorithm #Selection #Strategy #C1 #300203 Plant Improvement (Selection, Breeding and Genetic Engineering) #620101 Wheat
Tipo

Journal Article