关于三种意大利肉牛品种平均每日收益的多品种基因组预测
Daniele Colombi1, Renzo Bonifazi2, Fiorella Sbarra3
1Dipartimento di Scienze Agrarie, Alimentari e Ambientali, University of Perugia, Perugia, Italy.
概括
基因组数据和多品种模型显著提高了意大利肉牛平均每日收益的基因组预测准确性. 将不同品种的数据结合起来,并包括相关的特征,可以增强遗传选择,特别是对于数据有限的品种.
科学领域:
- 动物遗传学和动物繁殖
- 量化遗传学 量化遗传学
- 基因组预测 基因组预测
背景情况:
- 意大利本土的肉牛品种 (Marchigiana,Chianina,Romagnola) 被选择用于肉类生产.
- 基因组数据和多品种 (MB) 模型可以提高预测准确性,特别是在有限的品种内数据的情况下.
- 准确的基因组预测对于畜牧业的有效遗传改进至关重要.
研究的目的:
- 评估和比较三种意大利肉牛品种的平均每日收益 (ADG) 的基因组预测的准确性.
- 评估单品种与多品种模型以及单特征与多特征方法的影响.
- 确定将基因组数据纳入当地牛群的遗传选择的好处.
主要方法:
- 利用了来自5303头年轻公牛的表型,23793个血统记录和4593个基因型.
- 实施了血统最佳线性无偏预测 (pBLUP) 和单步基因组BLUP (ssGBLUP) 模型.
- 比较单特征/单品种,单特征/多品种和多特征/多品种评估场景,包括相关的特征,如体重和肌肉.
主要成果:
- 与pBLUP相比,在ssGBLUP模型中,基因组数据的整合平均提高了5%的预测准确度.
- 单特征多品种模型在ADG遗传性较低的品种中平均提高了4%的准确性.
- 包括体重和肌肉质在内的多特征模型进一步提高了预测准确度,超过了仅使用ADG模型的模型.
结论:
- 多品种基因组模型有效地提高了意大利肉牛平均每日收益的预测准确性.
- 跨品种数据的利用和结合相关特征是有利于基因改进的,特别是对于具有低遗传性或有限数据的特征.
- 这些发现支持基因组预测的应用,以增强面临数据限制的当地牲畜种群的遗传收益.
更多相关视频
09:09Protocol for Assessing the Relative Effects of Environment and Genetics on Antler and Body Growth for a Long-lived Cervid
Published on: August 8, 2017
7.5K
09:04Transcriptome Profiling of In-Vivo Produced Bovine Pre-implantation Embryos Using Two-color Microarray Platform
Published on: January 30, 2017
7.9K
相关概念视频
Pedigree Analysis
85.3K
Overview
85.3K
Heritability
307
Heritability is a statistical concept that measures the degree to which genetic differences among individuals contribute to trait variations within a population. It is a fundamental idea in genetics, often prone to misinterpretation. Heritability is expressed as a percentage, reflecting the proportion of variation in a specific trait across a population that can be linked to genetic differences. However, it's important to understand that heritability does not determine how "genetic"...
307
Incomplete Dominance
25.5K
Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.
25.5K
Genome-wide Association Studies-GWAS
14.3K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...
14.3K
Prediction Intervals
2.3K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
2.3K
Polygenic Traits
66.6K
When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
66.6K
