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GENOSIM

    The genosim package simulates genotypes, breeding values, and phenotypes; simulates DNA sequence read depth (numbers of A and B alleles); and resolves SNP conflicts between parent and offspring genotypes.

    Non-dominated Sorting Genetic Algorithm-II

      This code is implements the nondominated sorting genetic algorithm (NSGA-II) in the R statistical programming language. The function is theoretically applicable to any number of objectives without modification. The function automatically detects the number of objectives from the population matrix used in the function call. NSGA-II has been applied in ARS research for automatic calibration of hydrolgic models (whittaker link) and economic optimization (whittaker link).

      Data from: Life history changes in Trogoderma variabile and T. inclusum due to mating delay with implications for mating disruption as a management tactic

        Egg and progeny counts for Trogoderma variabile and Trogoderma inclusum adults with delays in mating. These data were generated to examine the effect of mating delay on life history and reproductive capacity as a cue to the use of mating disruption tactics such as pheromone lures. Survivorship was calculated as the last day egg counts were recorded for an individual. Blocks were adults that were all mated on the same day. Reps are an individual female. Control beetles are coded with either an "f" or an "m" for female and male and were never mated. Male control data was examined for similarity to female control data but was not used in further analysis and comparison. The experiment was all done at 30C, 65% relative humidity and a 16 light/8 dark photoperiod. Adults were transferred every 2 days to new vials and eggs were then counted and save for progeny counts. Trogoderma variabile populations were laboratory colonies for over 20 years. T. inclusum populations were collected in Kansas in August of 2012. We did not transform these data.