Determination of Surface Seed Distribution in the Different Seeding Methods of Maize

Authors : Djaha Venceslas Pacome NZI, Nurettin KAYAHAN, Kazım ÇARMAN

Pages : 48-55

View : 16 | Download : 15

Publication Date : 2017-04-28

Article Type : Research Paper

Abstract :In this study, the quality of surface insert ignore into journalissuearticles values(horizontal); seeds distribution and the growing area of seeds was determined by carrying out laboratory tests at 4 different seeding methods insert ignore into journalissuearticles values(conventional and twin row); and 3 forward speeds of precision pneumatic seeder insert ignore into journalissuearticles values(3; 5 and 7 km h-1);. We compared the different seeding methods with the the average shape coefficient insert ignore into journalissuearticles values(rort); of growing area and determined the most optimal seeding method for maize. The coordinates insert ignore into journalissuearticles values(x, y); of each seed were measured and entered into the MATLAB software to generate the Voronoi polygons around each seed. These polygons were considered as the growing area of the seeds. According to the results, the analysis of variance performed on shape coefficients values showed that the difference between seeding methods were significant insert ignore into journalissuearticles values(P < 0.01);. The most optimal seeding method for corn is the twin row method 25 cm seeds spacing intra row because it had a better growing area for the seeds with a average shape coefficient closer to 1 insert ignore into journalissuearticles values(rort=0.87);. In addition we found the twin row seeding method 16 cm seeds spacing intra row very interesting because it had a high coefficient of form insert ignore into journalissuearticles values(rort=0.81); and also allowed to seed more seeds in a same area than all the other seeding methods of our study. This is a method whose can be a good alternative for maize seeding.
Keywords : Growing area, Forward speed, Maize, Twin row, Shape coefficient, Voronoi polygon