Page 15 - Breeding and regulatory opportunities, Renaud
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Management (M) main efect and G × M interactions were often small but G × M
× E (location and season) were large; (2) 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. Cultivars highest in tocopherols
and carotenoids were open pollinated or early maturing Fhybrids. Distinct
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locations and seasons were identiied where phytochemical performance was
higher for each compound; (3) Larger genotypic variances and increased error
variances were observed in organic compared to conventional management
systems led to repeatabilities for several horticultural and phytochemical traits
that were similar or even higher in organic compared to conventional conditions;
(4) 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; (5) Correlations among phytochemical traits demonstrated
that glucoraphanin was negatively correlated with the carotenoids and the
carotenoids were highly correlated with one another; and (6) There was little
or no association between phytochemical concentration and date of cultivar
release, suggesting that modern breeding has not negatively inluenced the
level of tested compounds and there were no signiicant diferences among
cultivars from diferent seed companies. Based on the indings strategies for
seed system models are discussed.
Keywords
Organic seed regulation, stakeholder analysis, crop improvement, Brassica
oleracea, horticulture traits, phytochemical concentrations, selection
environment, seed system models
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