Page 248 - Breeding and regulatory opportunities, Renaud
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and G × M interactions were often small but G × M × E (location and season) were
large. Cultivars with both greater head weight and stability under conventional
conditions generally had high head weight and stability under organic
growing conditions, although there were exceptions in cultivar rank between
management systems. Larger genotypic variances and somewhat increased
error variances observed in organic compared to conventional management
systems led to repeatability for head weight and other horticultural traits that
were similar or even higher in organic compared to conventional conditions. The
ratio of correlated response (predicting performance under organic conditions
when evaluated in conventional conditions) to direct response (predicted
performance in organic when evaluated under organic conditions) for all traits
was close to but less than 1.0 with the exception of bead uniformity. This would
imply that in most cases, direct selection in an organic environment could
result in a more rapid genetic gain than indirect selection in a conventional
environment. The combined analysis of the repeatabilities and ratio of
correlated response to direct response would suggest that selection in organic
environments is equal or superior to selection in conventional environments.
In Chapter 5 the topic of organic agriculture requiring cultivars that can adapt
to organic crop management systems without the use of synthetic pesticides
was built on from Chapter 4 by further exploring genotypes with improved
nutritional value. The aim of this was to compare the 23 broccoli cultivars for
the content of phytochemicals associated with health promotion grown under
organic and conventional management in spring and fall plantings in two
broccoli growing regions in the US. The phytochemicals quantiied included:
glucosinolates (glucoraphanin, glucobrassicin, neoglucobrassin), tocopherols
(δ-, γ-, α-tocopherol) and carotenoids (lutein, zeaxanthin, β-carotene). For
glucoraphanin (17.5%) and lutein (13%), genotype was the major source of total
variation (numbers in parentheses are the percent of total variation accounted
for by a main efect or interaction); for glucobrassicin, region (36%) and the
interaction of location and season (27.5%); and for neoglucobrassicin, both
genotype (36.8%) and its interactions (34.4%) with season were important. For δ-
and γ- tocopherols, season played the largest role in the total variation followed
by location and genotype; for total carotenoids, genotype (8.41-13.03%) was
the largest source of variation and its interactions with location and season.
Overall, phytochemicals were not signiicantly inluenced by management
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