预测育种值的准确性预期值,考虑到参考和目标种群之间的遗传差异
Beatriz C D Cuyabano1, Didier Boichard2, Cedric Gondro3
1INRAE, AgroParisTech, GABI, Université Paris Saclay, 78350, Jouy-en-Josas, France. beatriz.castro-dias-cuyabano@inrae.fr.
Genetics, selection, evolution : GSE
|February 29, 2024
概括
准确预测繁殖值对于改善牲畜和作物至关重要. 这项研究引入了一种方法来量化几代人的预测精度侵蚀,提高育种计划的选择精度.
科学领域:
- 动物育种和遗传学动物育种和遗传学
- 定量遗传学 是一个量子遗传学.
- 基因组选择 基因组选择
背景情况:
- 遗传价值或育种价值是商业养殖中选择动物的关键.
- 统计方法和SNP芯片技术的进步使得可以及早预测育种价值.
- 预测的繁殖值 (PBV) 的实现准确性往往低于理论最大值,原因是几代人的侵蚀.
研究的目的:
- 开发和评估一种方法来计算PBV的预期准确度,以考虑侵蚀.
- 量化在繁殖种群中预测准确性的侵蚀.
- 提供可靠的指标来评估在存在遗传变化的情况下的PBV准确性.
主要方法:
- 开发了一种使用参考和目标人群之间的关系来计算预期的PBV准确度的方法.
- 纳入了种群之间的遗传相关性指数,以解释等位基因频率和LD差异.
- 使用遗传相关性和特征可遗传性获得预期的准确性.
- 通过模拟和真实数据分析验证了该方法.
主要成果:
- 模拟证实了该方法能够准确地预测非表型个体的PBV准确度,考虑到侵蚀.
- 实时数据分析表明,推导的预期准确度是可靠的,大多数特征与预测密切一致.
- 四个特征中的一个表现出明显高于预期的实现精度,接近理论最大值.
结论:
- 定义了一个遗传相关性指数,以总结参考和目标种群之间的预期侵蚀.
- 为预期的PBV准确度推导出可靠的指标,考虑到侵蚀.
- 开发的方法提供了一个强大的工具,用于管理和提高长期育种计划的准确性.
相关概念视频
01:25What is Population Genetics?
57.9K
A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.
57.9K
01:52Regression Toward the Mean
6.3K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.3K
01:19Variation
6.8K
An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...
6.8K
01:13Accuracy and Errors in Hypothesis Testing
199
Hypothesis testing is a fundamental statistical tool that begins with the assumption that the null hypothesis H0 is true. During this process, two types of errors can occur: Type I and Type II. A Type I error refers to the incorrect rejection of a true null hypothesis, while a Type II error involves the failure to reject a false null hypothesis.
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5%...
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5%...
199
01:49Hardy-Weinberg Principle
72.1K
Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.
72.1K
01:59Plant Breeding and Biotechnology
18.9K
Crop cultivation has a long history in human civilization, with records showing the cultivation of cereal plants beginning at around 8000 BC. This early plant breeding was developed primarily to provide a steady supply of food.
18.9K