Author:
Chapman S. C.,Cooper M.,Hammer G. L.,Butler D. G.
Abstract
Genotype × environment (G×E) interactions due to variation in soil
moisture and rainfall complicate the interpretation of sorghum hybrid
performance trials over locations (L) and years (Y). This paper aims to use
pattern analysis to explain measures of the G×L interaction for yield,
and whether these can, in turn, be explained using simulation models to
determine the occurrence of environment types (within-season patterns of
drought). The aim of this work is to simplify the analysis of G×E by
explaining it in terms of interactions of genotypes with environment types
(ET) that are not ‘fixed’ to locations and years.
In a sequential analysis of 17 seasons, 18 locations were separated into
groups that tended to represent either the northern (i.e. central Queensland,
CQ) or southern Queensland (SQ) regions. For a subset of 6 locations,
ordination 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 crop simulations. These 3 environment types were: (1)
low stress (occurring in 33% of seasons); (2) severe terminal stress
with an early-season (9%) or midseason time (29%) of onset; and
(3) intermediate terminal stress with a midseason (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 simulated yields than did the
fixed descriptors of locations and years.
Sorghum hybrid trials for broad adaptation in Queensland should include
locations at least from each of the 2 regions and the results should be
interpreted in the context of the season in which they are conducted. To match
the 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 locations used during a season do not adequately represent
the target population of environments over all locations and years.
Subject
General Agricultural and Biological Sciences
Cited by
153 articles.
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