Kemiripan dan Potensi Produksi Aksesi Pohpohan (Pilea trinervia Wight.) dari Beberapa Daerah di Jawa Barat

Pohpohan (Pilea trinervia Wight.) is potential indigenous vegetable to be developed as a commercial vegetables. The objectives of this research were to observe similarity and production potential of pohpohan landraces from several areas in West Java. Result based on cluster analysis at nine similarity scale, thirteen exploration pohpohan landraces were grouped into three clusters. Clusters I consisted of Warung Loa, Tugu Selatan, Palasari, Langensari, Kayu Ambon, Lebak Muncang, Situsari, Sukalilah and Lebaksiuh. Clusters II consisted of Curug Rendeng, Argalingga and Linggarjati and clusters III was Bobojong. Result from further test using Duncan Multiple Range Test (DMRT), Warung Loa is a leading landrace because showed the best result on plant height, primary branches number, leaf width, yield per plot and plant productivity. <br /><br />Keywords: Cluster analysis, exploration, indigenous vegetable

Experiments on an elliptic circulation control aerofoil

Experiments are performed on an elliptic circulation control aerofoil in an open-jet wind tunnel facility. The influence of blowing from a single trailing-edge slot on the external flow is assessed using two-component particle image velocimetry (PIV) and steady surface pressure measurements. The test section configuration (open jet or closed wall) significantly affects the leading-edge region of the flow field. PIV is also used to measure the curved wall jet and its interaction with the external flow near the trailing edge. PIV measurements of the curved wall jet reveal mean tangential velocity similarity in the outer region of the flow above the location where the tangential velocity reaches a local maximum. The length and velocity parameters required for similarity scale with the product of the chord Reynolds number and the momentum coefficient in accordance with the recent publication by Stalnov, Kribus & Seifert (J. Renew. Sustain. Energy, vol. 2, 2010, p. 063101). The separation location is also a function of the product of these parameters. The dataset is used to assemble equations to predict the similarity length scales, velocity scales and separation location. These equations compare well with the present measurements.