Genotype by environment interactions affecting grain sorghum. II. Frequencies of different seasonal patterns of drought stress are related to location effects on hybrid yields
Sc. Chapman et al., Genotype by environment interactions affecting grain sorghum. II. Frequencies of different seasonal patterns of drought stress are related to location effects on hybrid yields, AUST J AGR, 51(2), 2000, pp. 209-221
Genotype x environment (GxE) interactions due to variation in soil moisture
and rainfall complicate the interpretation of sorghum hybrid performance t
rials over locations (L) and years (Y). This paper aims to use pattern anal
ysis to explain measures of the GxL interaction for yield, and whether thes
e can, in turn, be explained using simulation models to determine the occur
rence of environment types (within-season patterns of drought). The aim of
this work is to simplify the analysis of GxE by explaining it in terms of i
nteractions of genotypes with environment types (ET) that are not 'fixed' t
o locations and years.
In a sequential analysis of 17 seasons, 18 locations were separated into gr
oups that tended to represent either the northern (i.e. central Queensland,
CQ) or southern Queensland (SQ) regions. For a subset of 6 locations, ordi
nation partially explained differences among locations as being related to
latitude (r = 0.88) and rainfall (r = -0.46), but they were better related
(r > 0.9) to the frequencies of 3 stress ETs as determined by long-term cro
p simulations. These 3 environment types were: (1) low stress (occurring in
33% of seasons); (2) severe terminal stress with an early-season (9%) or m
idseason time (29%) of onset; and (3) intermediate terminal stress with a m
idseason (9%) or late-season (20%) time of onset. Low stress ETs were more
common in two SQ locations than in CQ. Stress ETs as defined by simulation
models and pattern analysis had more consistent relationships with simulate
d yields than did the fixed descriptors of locations and years.
Sorghum hybrid trials for broad adaptation in Queensland should include loc
ations at least from each of the 2 regions and the results should be interp
reted in the context of the season in which they are conducted. To match th
e long-term patterns in the 6 locations of the analysis, trial yields would
need to sample from at least 3 yield ranges: <1 t/ha, 1-3.5 t/ha, and >3.5
t/ha. Additional seasons of testing are likely to be required when the loc
ations used during a season do not adequately represent the target populati
on of environments over all locations and years.