de Araujo Neto, Francisco Ribeirodos Santos, Jessica Cristina Gonçalves [UNESP]da Silva Arce, Cherlynn Daniela [UNESP]Borquis, Rusbel Raul Ascpilcuetados Santos, Daniel Jordan AbreuGuimarães, Katia Cylenedo Nascimento, André Vieira [UNESP]de Oliveira, Henrique Nunes [UNESP]Tonhati, Humberto [UNESP]2022-04-292022-04-292022-01-01Journal of Applied Genetics.2190-38831234-1983http://hdl.handle.net/11449/230273The research article was carried out with the objective of studying the genetic variation on the resilience of buffaloes to negative energy balance—NEB (measured by changes in body weight in early lactation)—as well as investigating genomic regions of interest for this trait. A model of reaction norms was used, considering milk production as the trait to be analyzed and solutions of the contemporary groups to weight changes as environmental gradient. In this methodology, the genetic value of the slope represents the measure of resilience of the animals. After the estimation step, a genome-wide association analysis was performed for the slope of the reaction norms model, to obtain a list of windows and associated genes. The heritability estimates for milk production over the resilience gradient ranged from 0.13 to 0.28, with lower values in the intermediate environmental groups. Regarding the productive resilience of dairy buffalo cows to NEB, the genomic windows with the highest contribution to the genetic variance were detected on chromosomes BBU 1, 2, 3, 4, 9, 12, 19, and 21. A functional analysis of the genes described in the selected windows indicated association with metabolic routes related to growth and immunity of the animals, with an emphasis on the STAT6 gene. The results presented indicate that there is for this trait genetic variation to be used as selection criteria, in addition to genomic regions that can increase the precision of the selection.engBubalus bubalisGWASProduction efficiencyssGBLUPArtigo10.1007/s13353-021-00680-x2-s2.0-85123496651