Performance Evaluation of Coccinia (Coccinia grandis L. Voigt) under Different Training Systems and Growing Environments
B. Madhu Mitha *
Department of Vegetable science, Horticulture College and Research Institute, Tamil Nadu Agricultural University, Coimbatore, India.
R. Swarna Priya
Floriculture Research Station, Tamil Nadu Agricultural University, Thovalai, India.
L. Pugalendhi
Department of Vegetable science, Horticulture College and Research Institute, Tamil Nadu Agricultural University, Coimbatore, India.
M. K. Kalarani
Department of Crop Physiology, Tamil Nadu Agricultural University, Coimbatore, India.
*Author to whom correspondence should be addressed.
Abstract
The present investigation was conducted during 2021-2022 at the Department of Vegetable Science, Horticultural College and Research institute, Tamil Nadu Agricultural University (TNAU) to examine the performance of coccinia in different growing environments and training systems. The experiment was laid out in Factorial randomized block design (FRBD) with three replications. The treatment combinations comprised of two growing environments viz, open field (G1) and polyhouse (G2) with four training systems viz., Trellis system (T1), Vertical system (T2), Fish net (T3) and Pandal system (T4). Among these treatments, vertical training system and polyhouse cultivation was found to be superior for growth and yield attributing traits. In the vertical system of training the fruit yield was superior in polyhouse with the yield of 154.76 t/ha/year and 80.49 t/ha/year in open field. The interaction effect of polyhouse environment and vertical training (G2T2) was revealed by the highest number of fruits per vine (17.92), fruit yield/plant (5.15/kg), annual fruit yield (61.90 kg/plant) recorded in plants trained by vertical system. From the results it was concluded that, highest productivity in coccinia could be obtained from Polyhouse condition (G2) with the adoption of vertical system of training (T2).
Keywords: Coccinia, growing environments, training systems, yield traits