相关实验视频
Updated: Sep 12, 2025

07:11
Sampling Soils in a Heterogeneous Research Plot
Published on: January 7, 2019
34.9K
通过地理统计优化提高大豆囊线虫空间分布的预测:手动和自动采样方法的比较
Richard S González Aquino1, Sandip Mondal2, Kendall Lovejoy3
1The Ohio State University, Department of Plant Pathology, Columbus, Ohio, United States; gonzalezaquino.1@buckeyemail.osu.edu.
Plant disease
|August 11, 2025
概括
自动精密土壤采样 (APSS) 准确地绘制了大豆囊线虫 (SCN) 种群,与使用空间插曲时的手动方法相匹配. 这种高效的方法减少了采样点,为SCN管理提供了成本优势.
科学领域:
- 农业科学 农业科学
- 遗体学 遗体学 是一个学科.
- 精准农业 精准农业 精准农业
背景情况:
- 有效的大豆囊线虫 (SCN) 管理依赖于准确的土壤采样,以评估人口密度.
- 手动土壤采样是劳动密集型的,对于大面积来说效率低下,可能会错过SCN空间聚合.
研究的目的:
- 优化和比较自动精密土壤采样器 (APSS) 与手动土壤采样用于SCN检测的准确性和效率.
- 为了评估SCN卵数和空间插值方法来评估采样方法协议.
主要方法:
- 从俄俄州的SCN感染的田地采集了土壤样本,使用手动和自动网格模式方法.
- 使用了两种评估方法:直接的SCN卵数和通过反向距离权重 (IDW) 插曲的基于像素的计数.
- 林的一致性相关系数 (ρc) 评估了采样方法之间的一致性.
主要成果:
- 直接蛋计数显示手动和自动采样之间的适度一致 (ρc = 0.530.77).
- 在所有领域中,IDW插值方法显示了这两种方法的高度一致性 (ρc = 0.99).
- 将APSS积分减少50%保持了空间分辨率,这表明了成本效益优势.
结论:
- 与地理空间分析集成的自动精密土壤采样改善了SCN分布的理解,并简化了土壤采样.
- 这种方法有助于识别超过经济门的领域,支持基于信息的SCN管理决策.
- 展示了APSS在农场试验中的可行性,强调了其实际应用.
相关概念视频
Cluster Sampling Method
12.7K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
12.7K
Stratified Sampling Method
12.9K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...
To choose a stratified sample, divide the population into groups called strata and then take a...
12.9K
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
Sampling Plans
271
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
271
Convenience Sampling Method
9.6K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
9.6K

