The effects of temperature, soil moisture and A. flavus population on kernel colonization and aflatoxin contamination, and drought tolerance traits viz.
For each population, fifteen kernels were grown out as follows.
Firstly we would note that genes with zero counts were not included in the bimodality analyses and so did not contribute to the LE population within the kernel density plots; we have added text to the manuscript to clarify this point.
Based on this coalescence mechanism, a new coalescence kernel for population balance modelling of granule growth is presented.
To calculate densities, we considered the area occupied by each population as the 95% kernel of all wolf sightings during the breeding season (October March).
The disease associated SNP on chromosome 5 was in a sucrose synthase gene (GRMZM2G060659) located in an LD block extending approximately 0.2 Mbp on chromosome 5. Examination of the lines carrying the minor allele at this locus revealed no relationship between population structure due to kernel type (namely the sweet corn and popcorn groups) and presence of the minor allele.
Here we present a novel nonmodel-based approach, population structure inference using kernel-PCA and optimization (PSIKO), which is based on a unique combination of linear kernel-PCA and least-squares optimization and allows for the inference of admixture coefficients, principal components, and number of founder populations of a dataset.
In this paper, we incorporate the EKE kernel into a population balance model to extract the effective aggregation rate constant that accounts for the net granule growth for the series of FBMG experiments shown in Tan, et al. [(2004b).
This work is concerned with the theoretical development of a semi-mechanistic aggregation kernel in a population balance model (PBM) which takes into account the effect of droplet spreading on a particle surface that aids in the coalescence of particles.
Each grid was then designated either as urban or suburban based upon land use classification, and its associated density measure was adjusted for the underlying variation in population density (i.e., kernel density × population density × grid cell size/1,000) to yield infection rates per 1,000 population.
