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Broccoli crop improvement
To study correlations between conventional and organic conditions at the ine
grained level of location by trialing period combinations, we used Spearman’s
rank correlations, because we were especially interested in rank changes.
A further comparison of conventional and organic conditions was performed
by evaluating stability of performance versus mean performance for the set of
varieties. Genotypic (in)stabilities under organic and conventional conditions
were calculated as the variance for individual genotypes across all trials in the
system.
Correlated Response theory (Falconer and Mackay, 1996) was used to assess the
feasibility of selection for organic conditions (the target environment) under
conventional conditions (the selection environment). The ratio of correlated
response (for organic conditions using conventional conditions), CR, to direct
response (for organic conditions in organic conditions), DR, can be used to
decide whether it is possible to use selection under conventional conditions for
improvement in organic systems; it was calculated as the product of the genetic
correlation between organic and conventional systems () and the ratio of the
r
G
roots of conventional and organic repeatabilities ( and respectively):
CR/DR=rH⁄ H.
G C O
Ratios smaller than 1 indicate that it is better to select under organic conditions
when the aim is to improve the performance in organic conditions.
4.3 Results
4.3.1 Partitioning of variance components
We itted variance components models for all traits, where we report these
variance components as coeicients of variation (CV’s). We do not report the
signiicance of the variance components as almost all components were found
to be signiicant by likelihood ratio tests, even for components that were
close to zero. The information on the variation is best considered through the
magnitude of the variance components and not through signiicance tests.
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