Evaluation of Bayesian alphabet and GBLUP based on different marker density for genomic prediction in Alpine Merino sheep
Summary
Evaluation of Bayesian alphabet and GBLUP based on different marker density for genomic prediction in Alpine Merino sheep is a scholarly article[1].
Key Facts
Evaluation of Bayesian alphabet and GBLUP based on different marker density for genomic prediction in Alpine Merino sheep's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Evaluation of Bayesian alphabet and GBLUP based on different marker density for genomic prediction in Alpine Merino sheep. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluation-of-bayesian-alphabet-and-gblup-based-on-different-marker-density-for-genomic-prediction-in-alpine-merino-shee
MLA“Evaluation of Bayesian alphabet and GBLUP based on different marker density for genomic prediction in Alpine Merino sheep.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluation-of-bayesian-alphabet-and-gblup-based-on-different-marker-density-for-genomic-prediction-in-alpine-merino-shee.
BibTeX@misc{4ortxyz_evaluation-of-bayesian-alphabet-and-gblup-based-on-different-marker-density-for-genomic-prediction-in-alpine-merino-shee_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluation of Bayesian alphabet and GBLUP based on different marker density for genomic prediction in Alpine Merino sheep}}, year = {2026}, url = {https://4ort.xyz/entity/evaluation-of-bayesian-alphabet-and-gblup-based-on-different-marker-density-for-genomic-prediction-in-alpine-merino-shee}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluation of Bayesian alphabet and GBLUP based on different marker density for genomic prediction in Alpine Merino sheep — https://4ort.xyz/entity/evaluation-of-bayesian-alphabet-and-gblup-based-on-different-marker-density-for-genomic-prediction-in-alpine-merino-shee (retrieved 2026-05-24)