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Fig. 11


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Representation of continuous variables (a) and categorical variables (b) on the first plane issued from Multiple Factor Analysis. Individuals are not plotted to enhance graphical display. Objectives for making decisions about farm management are as follows: O1, to get more free time; O2, to improve quality of life; O3, to preserve the environment; O4, to improve social recognition of farmer profession; O5, to increase farm income; O6, to increase farm income stability; O7, to facilitate farm succession. Importance of these objectives in making decisions about farm management varies from 1 (not considered at all) to 4 (crucial). Other continuous variables are as follows: AGE, age of farmers; FAA, farm arable area; FLAX, proportion of farm arable area under oilseed flax in 2011-2012; AGR, ranking of the agronomic scenario; ALT, ranking of the alternative scenario; ECO, ranking of the economic scenario. Ranking of the three scenarios varies from 1 (the least favourable) to 3 (the most favourable). Farm types are as follows: FT_1, specialist field crops; FT_4, specialist grazing livestock; FT_5, specialist granivores; FT_7, mixed livestock holdings; FT_8, mixed crop-livestock. Farmers’ projects (0, no; 1; yes) are as follows: P1, change in farm size; P2, change in type and intensity of animal production; P3, change in type and intensity of crop production; P4, change in crop management; P5, change in farm territory; P6, change in farm equipment; P7, change in work organisation.

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