Correlation and regression relations between the height of plant and ear with some yield characters in maize

This study was conducted at the farm of the Faculty of Agriculture in Kharabo during 2011 2012 growing season. RCB design with two replicates was used and the correlation and regression relationship among characters were tested. Results showed that plant and ear heights were both positively correlated with some quantitative characters (number of kernels per row، number of rows per ear, 100 kernel Wight, and kernels weight per ear). Regression results also showed that the increase in plant and ear height was associated with an increase in number of rows per ear, kernels weight per ear and 100 kernel wight. It was concluded that plant height and/or ear height can be used as a direct selection index for number of rows per ear, kernels weight per ear and 100 kernel wight.

Genetic Analysis of Some Yield Components in Half Diallel Sweet Corn Crosses

A half diallel set of crosses among six inbred lines of sweet corn was evaluated to study heterosis and combining ability among plant height, ear height, ear diameter, number of rows per ear and ear yield per plant. The study was carried out at the agricultural research center in, GCSAR, Lattakia, Snoubar Jableh, during the 2010, 2011 seasons. Result showed that almost all crosses expressed a significant positive heterosis effect for ear yield per plant relative to mid parents and better parents; whereas, the highest positive significant percentage of heterosis for ear yield per plant were expressed by the crosses (L4xL6) which gave (198.70%, 176.81%) and (L4xL6) which gave (196.94%, 168.56%), over mid parents and better parents, respectively. The ratio (σ2GCA/σ2SCA) which was less than (1) showed that the non-additive gene action was more important than the additive gene action in all traits except plant height and ear height. The inbred lines L3 (17.061) and L4 (12.011) seemed to be the best general combiners for ear yield. Also, based on SCA effects, many of single crosses were identified as superior for ear yield, and the best hybrid was L3xL5(50.173).

Ear segmentation using likelihood skin detector and morphological operations

This paper proposes a new approach for the segmentation of the side face images to obtain the ear region. The proposed approach is divided into two basic steps: The first step classifies the image pixels into skin and non-skin pixels using likelihood skin detector. This likelihood image is processed by using morphological operations to detect the ear region. In the second step, image containing ear region is isolated from side face image by using one of two methods; the first is based on experiment, while the second is based measurements. The study includes a comparison of the results between the proposed study and previous ones to identify the differences. The proposed approach is applied on a database containing 146 images of 20 persons. These images were taken under different illumination, pose, day, and location variations. The partial occlusion by hair or earing was also taken in account. The results showed that the system achieved a correct segmentation with rate 95.8%.

Bacteria associated with Ear Infections in the National Hospital in Qamishly- Syria and their Antimicrobial Resistance

54 isolates were isolated of the bacteria associated with ear infections which have antimicrobial resistance from the patients in the National Hospital in Qamishly City during the period from 01/08/2008 to 31/10/ 2009. The number of Pseudomonas aeruginosa was high, followed by Staphylococcus aureus. It has been found that the rate of ear infections was lower in male (44.4%) than female (55.5%), and was (48.10%) in the first age category (1- 15 year) more than the second age category (15- 30 year) (31.37%), while the rate of ear infections was (23.5%) in the third age category(30- 60 year ). We found that all the strains of isolated bacteria showed high susceptibility to Imipenem (100%), and all bacteria of Pseudomonas, klebseilla, Proteus, Enterobacter, showed high sensitivity to ciprofloxacin, levofloxacin (85%), but only staphylococcus (58%). In addition, most isolated bacteria showed intermediate sensitivity to tobramicine, amikacine, gentamycine, and cephalosporinses like ceftazidime, cefaclor and cefotaxime. At the same time, most isolated bacteria showed resistance to Amoxicilline, Ampicillin, Penicillin, Oxacylline, Sulphamethoxasole, erythromycin, vancomycine and tetracyclines.