The average of the correlations between economic values of traits and individual farmers' trait weights was 0.591±0.231, indicating a fair congruence between farmers' preferences for traits and economic values of traits.
εi is the consumption efficiency of the consumer species, which is a function of the difference between the values of traits ν and ui, and ηj is the predation efficiency of the predator species, which is a function of the difference between the values of traits ui and ω.
There is a fair congruence between farmers' preferences for traits and economic values of traits, both in terms of the rankings of traits and their relative weights.
Relationships between goats' attributes and prices were estimated by hedonic modeling, while economic values of traits included in the CE were estimated by conditional logit (CL) model.
As all the traits showed significant correlations between the control and salinity treatments, indicating that the value of traits in the salinity treatment were influenced by the potential value in the control treatment, the traits were expressed as relative values, calculated as the ratio of values in salinity treatment to the mean value of the trait in the control treatment for each RIL.
The value of traits is measured as mean ± s.
For each period, genetic correlations were sought between the genetic values of the traits, computed as the sum of the residuals of the models' random parts with the predicted value of the dependent variable for a 1.6 mm female.
The results for scenario 1 show that for models G and BCπ0, the correlations between estimated breeding values of both traits were similar but higher than the simulated genetic correlation.
There is a trade-off for the predator between prey consumption and mortality: increasing the value of trait y increases the attack rate, f x, y), and simultaneously leads to higher predator mortality.
