A5067282631- Genetic and phenotypic traits in livestock
- Genetics and Plant Breeding
- Genetic Mapping and Diversity in Plants and Animals
- Data Analysis with R
- Crop Yield and Soil Fertility
- Computer Graphics and Visualization Techniques
- Wheat and Barley Genetics and Pathology
- Artificial Intelligence in Healthcare
- Network Security and Intrusion Detection
- Advanced Clustering Algorithms Research
- Numerical Methods and Algorithms
- Image Processing and 3D Reconstruction
- Spreadsheets and End-User Computing
- Control Systems and Identification
- Genetically Modified Organisms Research
- Agriculture, Soil, Plant Science
- Error Correcting Code Techniques
- Environmental DNA in Biodiversity Studies
- Statistical Methods and Bayesian Inference
- Soil Geostatistics and Mapping
- Acoustic Wave Phenomena Research
- Sugarcane Cultivation and Processing
- Spectroscopy and Chemometric Analyses
- Health, Environment, Cognitive Aging
- Bayesian Methods and Mixture Models
Enzo Life Sciences (United States)
2023
BAE Systems (United States)
2021-2023
Corteva (United States)
2022
Pioneer Hi-Bred
2002-2015
ABSTRACT The objectives of this study were to (i) measure genetic gain using a set maize ( Zea mays L.) single‐cross hybrids that widely used in Chinese production from 1964 2001, (ii) determine if there changes morphological characteristics, and (iii) examine the germplasm backgrounds these hybrids. Yield trials conducted for 3 yr, split‐plot design. Each hybrid was planted at three different densities four locations, two locations each representing summer spring corn areas. Mean rates 52...
ABSTRACT We compared yield, genetic gain, and morphology for two sets of maize ( Zea mays L.) hybrids using yield test plots grown in China at different planting densities. One set comprised 29 Chinese that were individually widely during 1964 through 2001. A second U.S. used either the 1960s or 2000s. The had higher yields both 2000s comparisons. United States showed highest gain (81 kg ha −1 ) density (67,550 plants whereas rate was 62 medium (52,500 ). Unlike hybrids, significant...
Abstract In complex physiological systems, causal associations between protein concentration and outcomes can be difficult to determine, as proteins both effectors of responders. This problem becomes especially when the outcome interest is death because this often preceded by failure multiple systems. Our aim in study was determine extent which variation plasma abundance predict all-cause disease-specific mortality, assess potential nature any observed associations. To identify biomarkers...
We propose a framework for anomaly detection in communication network logs along with automated extraction of human-readable annotations that explain the decision logic underlying each detection. For this purpose, we develop machine learning methodology formulated terms model comprised an OR-combination multiple Boolean based sentences. Each sentence is empirically learned set inequality conditions involving subsets features. The feature set, which comprises "alphabet" annotations,...
The genotype + genotype-by-environment (GGE) biplot technique has been widely used in the recent years for analysis of multienvironment trials, as is evident by large number articles published where there a reference to this technique. One question often raised users how much and/or variability captured GGE axes. This article provides an answer establishing link between partitioning total sum squares (TSS) genotype-by-environment-centered matrix provided singular value decomposition and TSS...
ABSTRACT Biplots have been widely used in recent years for the analysis of multi‐environment trials through genotype plus × environment (GGE) biplot or additive main effects and multiplicative interaction analysis. Sometimes environments are structured blocks environments, example, regions years. In this paper, we propose a new technique describing interactions that takes into account additional information. We call it GGB block biplot. This has interesting geometrical properties will be...
Hopkins statistic [@hopkins1954new] can be used to test for spatial randomness of data and detecting clusters in data. Although the method is nearly 70 years old, there persistent confusion regarding definition calculation statistic. We investigate its possible origin. Using most general statistic, we perform a small simulation verify distributional properties, provide visualization how calculated, fast R function correctly calculate Finally, propose protocol five questions guide use
Abstract The EM algorithm is widely used in incomplete-data problems (and some complete-data problems) for parameter estimation. One limitation of the that, upon termination, it not always near a global optimum. As reported by Wu (1982), when several stationary points exist, convergence to particular point depends on choice starting point. Furthermore, saddle or local minimum also possible. In algorithm, although log-likelihood unknown, an interval containing gradient q function can be...
This article reexamines the famous barley data that are often used to demonstrate dot plots. Additional sources of supplemental provide context for interpretation original data. Graphical and mixed-model analyses shed new light on variability in challenge previously held beliefs about accuracy Supplementary materials this available online.
Self-validated computations using interval analysis produce results with a guaranteed error bound. This article presents methods for self-validated computation of probabilities and percentile points the bivariate chi-square distribution F distribution. For critical (c 1,c 2) in equation P(Y 1 @ c 1, Y 2 ≤ = − α, case is considered. A combination secant bisection algorithms developed finding enclosures Results are compared to previously published tables.