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An experiment was repeated over four replications.
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Accordingly, a three-factor factorial experiment is performed within a completely randomized design with a splash cup under natural rainfall over three replications.
Table 4 Computational performance of the aggregate MILP model under the 75%% capacity load scenario (average over five replications) Demand frequency No. of demand elements Makespan (days) No. of blocks No. of sub-lots per block CPU time (s) MIP gap 1 3,939 65.57 550 64.44 22.80 0.00 3 1,26.724.83 22.60 7.34 0.28 0.00 7 550 64.44 22.80 6.72 0.23 0.00 Avg.
The average phenotypic values of each plot over three replications in each environment were used for final analysis.
The average lesion height over two replications (six lesions) consisting of three tillers in each replication after 25 DAI was used for calculating RLH.
The mean values over three replications of biomass yield; length, weight, number and yield of fruits; contents of cucurbitacin-B, lycopene, charantin and plant insulin; and water content that showed significant variation were used to compute their inter se correlation.
The experimental design was a completely randomized block design with three to four replications per treatment over time.
A sub-set of the interspecific lines and L. culinaris and L. ervoides lines were evaluated which included eight resistant, eight partially resistant and four susceptible lines using a randomized complete block design with four replications per site over two years.
A Completely Randomized Design with four replications was applied.
The mean data of PSST in RILs over the two replications was used for QTL analysis, and the extreme cold-tolerant and sensitive plants in the RIL population used for Seq-BSA were selected according to the mean data of F7, F8 and F9 RILs.
Final average and standard deviation of viability values are calculated over the five replications after blank subtraction.
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