Page 236 - Breeding and regulatory opportunities, Renaud
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Chapter 6






variance evoked under organic conditions. This was also the case in the broccoli 

trials reported in this thesis.



6.3.5 Multiple seed system models contribute to organic sector growth


Organic production in the US is comprised of numerous small- and large- 

scattered acreages across the country producing under a broad range of 

environments and servicing multiple market types. Therefore, the assortment 

of broccoli cultivars required to meet the demands of the organic market place is 


diverse. As has been described, organic producers are presently dependent on the 

commercial cultivar assortment available that were developed predominantly 

for large-scale industrialized growers in California and Arizona. The breeding, 

selection and testing of these cultivars are performed in the target region, 

therefore organic growers (outside the target region) are not exposed to newly 


released cultivars until the release, distribution and commercialization stage 

of a breeding process (as seen in our study with grower awareness of ‘Green 

Magic’). In the context of what Ceccarelli et al. (2009) describe as the three major 

phases of a breeding process: (1) generating genetic variability, (2) selection and 

testing to identify superior recombinants within the genetic variability created 


in the irst phase, and (3) release, distribution, and commercialization of new 

cultivars, the contribution of the present seed production and breeding models 

employed in the sector are now discussed. We further consider the implications 

in the event of regulatory closure. The four model scenarios presented are 


(Figure 6.1): (1) 100% conventional seed breeding and production companies 

(Model 1), (2) conventional seed breeding and production companies with an 

organic division (Model 2), (3) 100% organic seed breeding and production 

company (Model 3), and (4) farmer-led or non-proit organic breeding and 

production initiatives (Model 4). Finally, measures for enhancing each of the 


models presented are considered.























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