TABLE 3.

Simulation results for the Atlantic dairy goat breeding scenarios considering either resilience (slopes of daily milk yield on temperature; scenarios Base and 1–4) or stability (absolute values of the slopes; scenarios Base2 and 5–11) in the breeding goals.

Results are presented for the initial (0) and final (20) generations (G). Traits simulated were daily milk yield (DMY, kg/day), productive life (Long, day), kidding age (KA, months), mastitis (Mast, 0/1), and resilience or stability (Res/Stab; kg/°C/day). A phenotypic index not accounting for resilience/stability in the breeding goal (Index0) is presented. Economic profits (€/L) are presented under the current climatic scenario (Profit0) and for an increase of +1°C (Profit1) and +2°C (Profit2) of the average temperature. Economic losses for milk yield under the +1°C (Losses1) and +2°C (Losses2) temperature changes are calculated in comparison with the respective base scenario. Most favorable scenario shaded in gray.

*Index0 was computed as a phenotypic index that combined all traits except resilience (Res), using the same weights as those in the base strategy.

¹Profit0 was computed as an economic index that combined all traits (phenotypic values) weighted by economic weights described in Sorensen et al. (2010), Lopes et al. (2012), and Fuerst-Waltl et al. (2018). Profit1 and Profit2 are similar to Profit0 but considering losses in production due to temperature variation of 1 and 2°C, respectively.

²Losses1 and Losses2 represent percentual losses in future climatic scenarios regarding the respective base scenario.