Environment characterization as an aid to wheat improvement: interpreting genotype-environment interactions by modelling water-deficit patterns in North-Eastern Australia

被引:228
作者
Chenu, K. [1 ,2 ]
Cooper, M. [3 ]
Hammer, G. L. [4 ]
Mathews, K. L. [5 ]
Dreccer, M. F. [6 ]
Chapman, S. C. [5 ]
机构
[1] Agri Sci Queensland, DEEDI, QPI&F, Toowoomba, Qld, Australia
[2] Univ Queensland, CPS, Queensland Alliance Agr & Food Innovat, Toowoomba, Qld, Australia
[3] Univ Queensland, Sch Land Crop & Food Sci, Brisbane, Qld, Australia
[4] Univ Queensland, CPS, Queensland Alliance Agr & Food Innovat, Brisbane, Qld, Australia
[5] CSIRO Plant Ind, Queensland Biosci Precinct, Brisbane, Qld, Australia
[6] CSIRO Plant Ind, Cooper Lab, Gatton, WA, Australia
关键词
Drought; environment classification; genotype-environment interaction; modelling; water deficit; wheat; AFFECTING GRAIN-SORGHUM; STRESS ENVIRONMENTS; CULTIVAR EVALUATION; YIELD ADAPTATION; SPATIAL ANALYSES; DROUGHT STRESS; MIXED MODELS; CROP; SELECTION; SIMULATION;
D O I
10.1093/jxb/erq459
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Genotype-environment interactions (GEI) limit genetic gain for complex traits such as tolerance to drought. Characterization of the crop environment is an important step in understanding GEI. A modelling approach is proposed here to characterize broadly (large geographic area, long-term period) and locally (field experiment) drought-related environmental stresses, which enables breeders to analyse their experimental trials with regard to the broad population of environments that they target. Water-deficit patterns experienced by wheat crops were determined for drought-prone north-eastern Australia, using the APSIM crop model to account for the interactions of crops with their environment (e.g. feedback of plant growth on water depletion). Simulations based on more than 100 years of historical climate data were conducted for representative locations, soils, and management systems, for a check cultivar, Hartog. The three main environment types identified differed in their patterns of simulated water stress around flowering and during grain-filling. Over the entire region, the terminal drought-stress pattern was most common (50% of production environments) followed by a flowering stress (24%), although the frequencies of occurrence of the three types varied greatly across regions, years, and management. This environment classification was applied to 16 trials relevant to late stages testing of a breeding programme. The incorporation of the independently-determined environment types in a statistical analysis assisted interpretation of the GEI for yield among the 18 representative genotypes by reducing the relative effect of GEI compared with genotypic variance, and helped to identify opportunities to improve breeding and germplasm-testing strategies for this region.
引用
收藏
页码:1743 / 1755
页数:13
相关论文
共 57 条
[1]   ADAPTATION PATTERNS AND DEFINITION OF MACRO-ENVIRONMENTS FOR SELECTION AND RECOMMENDATION OF COMMON-WHEAT GENOTYPES IN ITALY [J].
ANNICCHIARICO, P ;
PERENZIN, M .
PLANT BREEDING, 1994, 113 (03) :197-205
[2]  
[Anonymous], 2008, R LANG ENV STAT COMP
[3]   Genotype x environment interactions and some considerations of their implications for wheat breeding in Australia [J].
Basford, KE ;
Cooper, M .
AUSTRALIAN JOURNAL OF AGRICULTURAL RESEARCH, 1998, 49 (02) :153-174
[4]   DETERMINATION OF THE LOCATION AND NUMBER OF TEST ENVIRONMENTS FOR A WHEAT CULTIVAR EVALUATION PROGRAM [J].
BRENNAN, PS ;
BYTH, DE ;
DRAKE, DW ;
DELACY, IH ;
BUTLER, DG .
AUSTRALIAN JOURNAL OF AGRICULTURAL RESEARCH, 1981, 32 (02) :189-201
[5]   RETROSPECTIVE ASSESSMENT OF ENVIRONMENTS IN THE DETERMINATION OF AN OBJECTIVE STRATEGY FOR THE EVALUATION OF THE RELATIVE YIELD OF WHEAT CULTIVARS [J].
BRENNAN, PS ;
SHEPPARD, JA .
EUPHYTICA, 1985, 34 (02) :397-408
[6]   Evaluating plant breeding strategies by simulating gene action and dryland environment effects [J].
Chapman, S ;
Cooper, M ;
Podlich, D ;
Hammer, G .
AGRONOMY JOURNAL, 2003, 95 (01) :99-113
[7]   A SUNFLOWER SIMULATION-MODEL .1. MODEL DEVELOPMENT [J].
CHAPMAN, SC ;
HAMMER, GL ;
MEINKE, H .
AGRONOMY JOURNAL, 1993, 85 (03) :725-735
[8]   Genotype by environment interactions affecting grain sorghum. III. Temporal sequences and spatial patterns in the target population of environments [J].
Chapman, SC ;
Hammer, GL ;
Butler, DG ;
Cooper, M .
AUSTRALIAN JOURNAL OF AGRICULTURAL RESEARCH, 2000, 51 (02) :223-233
[9]   Genotype by environment interactions affecting grain sorghum. II. Frequencies of different seasonal patterns of drought stress are related to location effects on hybrid yields [J].
Chapman, SC ;
Cooper, M ;
Hammer, GL ;
Butler, DG .
AUSTRALIAN JOURNAL OF AGRICULTURAL RESEARCH, 2000, 51 (02) :209-221
[10]   Use of crop models to understand genotype by environment interactions for drought in real-world and simulated plant breeding trials [J].
Chapman, Scott C. .
EUPHYTICA, 2008, 161 (1-2) :195-208