Effect of phosphorus and potassium on the growth and yield of French bean

An experiment was conducted at the Agronomy Field Laboratory of the Department of Agronomy, Bangladesh Agricultural University, Mymensingh to investigate the yield response of French bean (Phaseolus vulgaris L.) as affected by phosphorus and potassium management. The experiment consisted of two factors. Factor A: Phosphorus fertilizer (4 levels) viz. P1=15Kg P ha-1, P2=20 Kg P ha-1 and P3=25 Kg P ha-1 , P4=35 Kg P ha-1 and factor B: Potassium fertilizer (4 levels) viz. K1=0 Kg K ha-1, K2=20 Kg K ha-1, K3=30 Kg K ha-1 and K4=40 Kg K ha-1. The variety BARI Jharsheem-3 was used in this experiment as the test crop. The experiment was laid out in a randomized complete block design (RCBD) with three replications. In case of phosphorus @ 25 kg ha-1  the highest number of pods plant-1 (4.96), pod length (13.34 cm), number of seeds pod-1 (4.54), weight of 1000-seed (431.21 g), seed yield (1.33 t ha-1), stover yield (1.53 t ha-1), biological yield (2.86 t ha-1) and harvest index 46.50%  were found. In case of potassium @ 40 kg ha-1, he highest number of pods plant-1 (5.80), pod length (14.89 cm), number of seeds pod-1 (4.24), weight of 1000-seed (430.37 g), seed yield (1.53 t ha-1 ), stover yield (1.46 t ha-1 ), biological yield (2.99 t ha-1) and harvest index 51.17% were found. Interaction effect of phosphorus and potassium the highest  number of pods plant-1 (5.18), pod length (13.40 cm), number of seeds pod-1 (4.30), weight of 1000-seed (430.53 g), seed yield (1.40 t ha-1 ), stover yield (1.60 t ha-1 ), biological yield (3.00 t ha-1 ) and harvest index 46.66% were recorded from P @ 25 kg ha-1 and K @ 40 kg ha-1. However, from the study it can be concluded that application of P @ 25 kg ha-1 and K @ 40 kg ha-1 was the most suitable combination for better yield of French bean

VISCAL: Heuristic algorithm based application tool to calibrate microscopic simulation parameters

VISCAL (VISSIM calibration) is an automated calibration tool for microscopic simulation parameters in VISSIM environment, based on three heuristic optimization algorithms: (a) genetic algorithm (GA); (b) simultaneous perturbation stochastic approximation (SPSA); (c) simulated annealing (SA). It is developed with a goal to automate and ease the tedious process of calibration, offering greater flexibility to the users by providing control on every aspect of the calibration process. It includes multiple features for a generic application tool with the ability to test the significance of the appropriate decision parameter set for a particular network, to determine the most suitable objective function to reflect network characteristics, and to check the suitability of any of the three heuristic optimization algorithms for a particular network. VISCAL also offers four objective function choices into the system: (1) speed, (2) flow, (3) delay, and (4) multi-objective criteria. It is able to calibrate all the driving behavior parameters for any type (urban, rural) and extent of network (small or large network). However, for this study, the operation of the tool is tested by a dataset obtained from a 3.26 km freeway of Dhaka, Bangladesh