Li Wu, Guo-Zhen Chen, Zu-Rui Zeng, Cun-Wei Ji, An-Qin Zhang, Jian-Hong Xia, Guo-Cheng Liu
Analysis of Breast Cancer Screening Results and Influencing Factors of Breast Cancer in Guangdong Province from 2017 to 2021
Journal of epidemiology and global health
brazilian livestock breeding programmes strive enhance genetics beef cattle strong emphasis nellore breed extensive database achieved significant genetic progress last years indicine breeds economically important brazil however breeds modest sets phenotypes pedigree genotypes slowing genetic progress predictions less accurate combining several breeds multibreed evaluation could help enhance predictions breeds less information available study aimed evaluate feasibility multibreed singlestep genomic best linear unbiased predictor genomic evaluations nellore brahman guzerat tabapua multibreed evaluations contrasted singlebreed ones data sourced national association breeders researchers brazil included pedigree 4207516 phenotypic 328748 genomic 63492 information across breeds phenotypes available adjusted weight 210 450 days age scrotal circumference 365 days age various scenarios evaluated ensure pedigree genomic information compatibility combining different breeds including metafounders mf building genomic relationship matrix breedspecific allele frequencies scenarios compared using linear regression method bias dispersion accuracy results showed using multibreed evaluations significantly improved accuracy especially smaller breeds like guzerat tabapua validation statistics indicated mf approach provided accurate predictions albeit bias singlebreed evaluations tended lower accuracy merging breeds multibreed evaluations increased accuracy reduced dispersion study demonstrates multibreed genomic evaluations proper indicine beef cattle breeds mf approach may particularly beneficial lessrepresented breeds addressing limitations related small reference populations incompatibilities g a22 leveraging genomic information across breeds breeders producers make informed selection decisions ultimately improving genetic gain cattle populations