单步贝叶斯回归方法用于基因组评估穆拉水牛的牛奶产量
Thalita Bianca Paiva1, José Macedo1, Jaliston Júlio Alves1
1Instituto Federal de Ciência e Tecnologia Goiano - IFGoiano, Rio Verde, GO, Brazil.
The Journal of dairy research
|August 8, 2025
概括
贝叶斯拉索模型准确地预测了穆拉水牛的牛奶产量. 这项研究确定了贝叶斯拉索作为牛肉牛奶产量的遗传评估的最佳方法.
科学领域:
- 动物遗传学和动物繁殖
- 量化遗传学 量化遗传学
- 统计基因组学 统计基因组学
背景情况:
- 预测牛奶产量对于奶牛的遗传改进至关重要.
- 基因组选择为提高牲畜生产率提供了先进的工具.
- 穆拉水牛是重要的乳品品种,需要有效的繁殖策略.
研究的目的:
- 评估单步贝叶斯回归 (ssBR) 模型的性能,用于预测Murrah水牛的牛奶产量.
- 为了比较基因组预测中的各种贝叶斯方法的准确性和分散性.
- 为了确定最适合的ssBR模型用于牛奶生产的遗传评估.
主要方法:
- 应用了五个单步贝叶斯回归模型:贝叶斯A (ssBA),贝叶斯B (ssBB),贝叶斯C (ssBC),贝叶斯拉索 (ssBL) 和贝叶斯回归 (ssBRR).
- 利用了2026只初哺乳期的Murrah水牛的牛奶产量记录,以270天的累积牛奶产量为表型.
- 研究的混合物分布模型 (ssBB,ssBC) 使用固定或估计的标记物比例 (π).
主要成果:
- 精度值在0.550 (ssBBπ) 到0.584 (ssBCπ) 之间.
- 分散估计值从0.867 (ssBA) 到0.958 (ssBRR) 不同.
- 贝叶斯拉索 (ssBL) 基于精度和分散标准表现出卓越的性能.
结论:
- 贝叶斯拉索是预测穆拉水牛牛奶产量的最有效模型.
- 这项研究为选择适合乳品品种的基因组预测模型提供了有价值的见解.
- 优化基因评估模型可以显著提高水牛牛奶生产效率.
相关概念视频
Multiple Regression
3.2K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.2K
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
712
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
On...
712
Distributions to Estimate Population Parameter
4.3K
The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
4.3K
Estimating Population Mean with Unknown Standard Deviation
8.3K
In practice, we rarely know the population standard deviation. In the past, when the sample size was large, this did not present a problem to statisticians. They used the sample standard deviation s as an estimate for σ and proceeded as before to calculate a confidence interval with close enough results. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
William S. Gosset (1876–1937) of the...
William S. Gosset (1876–1937) of the...
8.3K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
101
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
101


