在基维 (Actinidia arguta) 的育种价值预测中实施不同的关系估计方法
Daniel Mertten1,2, Samantha Baldwin3, Canhong H Cheng4
1The New Zealand Institute for Plant and Food Research Ltd (PFR), Auckland, 1142 New Zealand.
Molecular breeding : new strategies in plant improvement
|October 23, 2023
概括
使用基因组选择和最好的线性无偏预测 (BLUP) 繁殖桃更快. 一个基于四体标记的关系矩阵显著提高了男性兄弟姐妹的繁殖值的准确性,加速了品种的发展.
科学领域:
- 植物育种 植物育种
- 定量遗传学 是一种定量遗传学.
- 基因组选择 基因组选择
背景情况:
- 像果 (Actinidia arguta) 这样的二元作物在选择雄性父母和长期青春期的水果特征繁殖方面面临挑战.
- 目前的后代测试用于估计雄性亲生品种价值,耗时且昂贵,阻碍了高效的品种发展.
- 最好的线性无偏预测 (BLUP) 为直接估计与性别相关的特征和加速育种计划提供了潜在的解决方案.
研究的目的:
- 通过使用线性混合模型方法,估计桃中葡萄藤和水果特征的狭义遗传性.
- 评估不同关系矩阵 (基于血统与基于标记) 和 ploidy 级别对 BLUP 准确性的影响.
- 为了比较BLUPs的预测能力,将各种基因组和表型数据源纳入自动四化基的基因组和表型数据源.
主要方法:
- 采用线性混合模型,在两个不完整的因数交叉设计中估计六个特征的遗传性.
- 计算了所有基因型的BLUP,使用基于血统和基于标记的关系矩阵.
- 通过结合不同的关系矩阵,并考虑自动四倍流动性 (autotetraploid ploidy) 来比较BLUP的准确性和预测能力.
主要成果:
- 实现了所有基因型的BLUP,考虑了血统和标记信息.
- 证明基于四体标记的关系矩阵显著提高了缺乏表型数据的男性兄弟姐妹BLUP的准确性.
- 与使用父母BLUP或女性兄弟姐妹与表型观测相比,显示了增强的预测准确性.
结论:
- 这项研究提供了一种创新的方法,用于Autotetraploid基维繁殖计划.
- 使用基于四体标记的关系矩阵对于准确估计雄性桃兄弟姐妹的繁殖价值至关重要.
- 通过BLUP进行基因组选择,通过提高预测准确性和减少对后代测试的依赖,加速新果品种的发展.
更多相关视频
10:00Methods of Pairing and Pair Maintenance of New Zealand White Rabbits Oryctolagus Cuniculus Via Behavioral Ethogram, Monitoring, and Interventions
Published on: March 16, 2018
14.0K
06:44Induction and Evaluation of Inbreeding Crosses Using the Ant, Vollenhovia Emeryi
Published on: October 5, 2018
7.6K
相关概念视频
Pedigree Analysis
84.4K
Overview
84.4K
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
531
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...
531
Heritability
206
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"...
206
Monohybrid Crosses
230.2K
Overview
230.2K
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
Chi-square Analysis
38.3K
The chi-square test is a statistical hypothesis test. It is used to check whether there is a significant difference between an expected value and an observed value. In the context of genetics, it enables us to either accept or reject a hypothesis, based on how much the observed values deviate from the expected values.
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...
38.3K
