02215naa a2200421 a 450000100080000000500110000800800410001902400740006010000190013424501260015326000090027952009760028865000190126465000110128365000190129465000140131365000200132765000130134765000120136065000190137265000250139165000240141665000110144065300270145165300230147865300110150165300270151265300140153965300180155365300210157165300240159265300120161665300290162870000200165770000230167770000130170077300800171320732692017-07-27       2017    bl uuuu     u00u1 u    #d7 ahttp://dx.doi.org/10.1590/1809-4430-eng.agric.v37n2p226-235/20172DOI1 aPEQUENO, I. D.  aDairy production of "Saanen" goats based on meteorological variables and future climate scenarios.h[electronic resource]  c2017  aAbstract: This study aimed to modeling and bioclimatic zoning of "Saanen" goat milk production in northeastern Brazil. Data were obtained from a 14-year dairy control program for 246 ?Saanen? goat matrices. Dairy production meteorological influence and mathematical modeling were assessed through statistical analyses such as Pearson?s correlation matrix and path analysis. Bioclimatic zoning for current and future scenarios, with climate changes, were delineated using inverse-square distance (ISD) and spherical model (kriging) interpolations. Results showed maximum air temperature to contribute substantially to goat dairy production; therefore, its modeling was based thereon. Current and future dairy production maps highlighted Maranhão and Piauí as regions of limited ?Saanen? milk production. Furthermore, we should emphasize that temperature rises in further scenarios may have significant impact on the potential of dairy farming for the region under study.  aBioclimatology  aBrazil  aClimate change  aGoat milk  aMilk production  aCaatinga  aCaprino  aLeite de cabra  aMétodo estatístico  aProdução leiteira  aStress  aAnálise de variância  aBioclimatic zoning  aBrasil  aÍndice de temperatura  aModelagem  aPath analysis  aRegião Nordeste  aStatistical methods  aWelfare  aZoneamento bioclimático1 aTURCO, S. H. N.1 aSILVA, T. G. F. da1 aFACO, O.  tEngenharia Agrícola, Jaboticabalgv. 37, n. 2, p. 226-235, mar./abr. 2017.