At the meeting held in Bologna, the Economic Committee for the multiplication of fodder seeds operating under the national framework contract for the multiplication of fodder seeds indicated the reference price for alfalfa seed certified in nature at 1.30 € / kg , for clean product, ie net of every tare and scrap, as well as any additional bonuses.
“It is undoubtedly a positive sign that the structures participating in the interprofessional agreement have wanted to give the sector in view of a continuous qualification of Italian seed production”, said Roberto Guarnieri , coordinator of the Committee and representative of the industrial part. “The definition of this price was not easy and required several meetings of the inter-professional committee as it was influenced by the extremely significant production results achieved in the last campaign, as in the present, and strongly conditioned by a still very stuck national and international market” .
“The market for alfalfa seed is particular, which is affected by the polyanuality of the crop and in 2018 also by an unfavorable seasonal trend that has seen the collapse of prices, making the destination a non-profitable seed for farms,” he stressed Alessandro Lualdi , president of Coams, the Consortium of seed multiplier farmers and member of the committee. “This is a production that qualifies the Italian agricultural sector: we recognize the effort made this year to support a sector that still needs programming in the short to medium term, to ensure high production standards and economic satisfactions for operators”, he concludes Lualdi.
The official statistics of the CREA-DC, even if it is still not definitive data, show that in 2018 there were just under 50,000 (last year were 37,655) the hectares for which an application for control was presented in the field for of certification , with a constantly growing trend for the past five years. Regarding seed production at the moment official data are not yet available even if the adverse environmental conditions recorded during the production cycle allow to predict lower results than those of the past season.