ArticleAnimals : an open access journal from MDPI2020
The Effect of Integrating Genomic Information into Genetic Evaluations of Chinese Merino Sheep.
Article in Animals : an open access journal from MDPI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
10 citing papers in PubMed.
- Weight Gain and Tenderness in Nelore Cattle: Genetic Association and a Potential Pleiotropic Role of Transcription Factors and Genes.Animals : an open access journal from MDPI · 2025Article
- Article
- Estimation of genetic parameters and genetic trends for ewe longevity indicators in U.S. Katahdin sheep.Journal of animal science · 2025Article
- Caprine and Ovine Genomic Selection-Progress and Application.Animals : an open access journal from MDPI · 2024Review
- Article
- A newly identified small tRNA fragment reveals the regulation of different wool types and oxidative stress in lambs.Scientific reports · 2023Article
- Estimates of Genomic Heritability and the Marker-Derived Gene for Re(Production) Traits in Xinggao Sheep.Genes · 2023Article
- Factor Analysis of Genetic Parameters for Body Conformation Traits in Dual-Purpose Simmental Cattle.Animals : an open access journal from MDPI · 2022Article
- Estimation of direct and maternal genetic effects and annotation of potential candidate genes for weight and meat quality traits in a genotyped outdoor dual-purpose cattle breed.Translational animal science · 2022Article
- Selective Sweeps Uncovering the Genetic Basis of Horn and Adaptability Traits on Fine-Wool Sheep in China.Frontiers in genetics · 2021Article
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
Genomic evaluations are a method for improving the accuracy of breeding value estimation. This study aimed to compare estimates of genetic parameters and the accuracy of breeding values for wool traits in Merino sheep between pedigree-based best linear unbiased prediction (PBLUP) and single-step genomic best linear unbiased prediction (ssGBLUP) using Bayesian inference. Data were collected from 28,391 yearlings of Chinese Merino sheep (classified in 1992-2018) at the Xinjiang Gonaisi Fine Wool Sheep-Breeding Farm, China. Subjectively-assessed wool traits, namely, spinning count (SC), crimp definition (CRIM), oil (OIL), and body size (BS), and objectively-measured traits, namely, fleece length (FL), greasy fleece weight (GFW), mean fiber diameter (MFD), crimp number (CN), and body weight pre-shearing (BWPS), were analyzed. The estimates of heritability for wool traits were low to moderate. The largest h
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Registered trials
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