Development and application of SNP chips in goat breeding: a mini review
Ting-Chieh Kang, Hisn-Hung Lin, Kai-Fei Tseng, Yu-Hsin Chen, Ya-Chun Liu · 2026
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Description
Kang and colleagues reviewed in 2026 SNP chips in goat breeding, the tools that read single-letter DNA differences across the genome to guide selection. Goats supply milk, meat, and fibre worldwide, but pedigree-based breeding is slow and weak for hard-to-measure traits. Chips let breeders select young animals early and accurately, without waiting for their own records.
Kang traces platforms from the first 52-thousand-marker chip to dense arrays and cheap liquid capture panels, weighing cost, accuracy, and fit for different herds. Prediction accuracy for key traits across countries and breeds ran from moderate to strong. Gene hunts have named candidates for milk makeup, growth, fertility, and fibre quality. Hurdles include building reference herds, filling missing genotypes, and managing inbreeding. The authors look to custom chips, AI-assisted prediction, and climate-ready breeding next.
Catalog record
| CREATOR | Ting-Chieh Kang, Hisn-Hung Lin, Kai-Fei Tseng, Yu-Hsin Chen, Ya-Chun Liu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 50 KB |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |