The mixed-model based composite interval mapping approach (MCIM) was used to detect QTLs, There were 12 QTLs detected with additive main effects, 27 QTLs involved in digenic interaction with aa and/or aae effects, and 18 QTLs affected by environments with ae and/or aae effects.
The single environment and multi-environment joint analyses were performed using the QTL Network ver. 2.0 software [ 34] based on a mixed-model based composite interval mapping (MCIM).
The mixed-model based composite interval mapping method (MCIM) was carried out for one-dimensional genome scan to detect putative QTLs and their environment interactions, and for two-dimensional genome scan to identify epistatic effects.
Mixed-model based composite interval mapping was carried out by using forward backward stepwise regression with a threshold of P = 0.05 to select cofactors, and the window size set at 10 cM.
The mixed-model based composite interval mapping implemented in QTLNetwork v2.0 (Institute of Bioinformatics, Zhejiang University, Hangzhou, China), and described in [ 72], was used for the QTL mapping analysis and run with two-year two-location input data and three replications per location.
The current work evaluates the application of the CODAM model, a damage mechanics based composite constitutive model, for impact simulation of PP composites.
In this work, a plasticity based composite interface model is proposed for failure analysis of unreinforced masonry.
A wear rate prediction model for aluminum based composites reinforced with 10 and 30 wt.% in situ aluminum diboride (AlB2) flakes was developed using Taguchi's method by considering the parameters of sliding velocity, normal load, sliding distance and reinforcement ratio.
A micromechanics model, based on the composite cylinders method, was implemented to study the electrical and thermal conductivity of these composites.
Furthermore, a simple mathematical model based on Voigt composite material model was developed to represent the measured solution-dependent tensile properties.
Optimal adsorption was discovered by a simple quadratic model based on central composite design (CCD) and the response surface method (RS M.
