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The effect of genotypic variability on the yield and yield components of okra (Abelmoschus esculentus L. Moench) in Thailand
Author(s):
1. Sorapong Benchasri: Department of Plant Science, Faculty of Technology and Community Development, Thaksin University,Phatthalung 93210,Thailand
2. Sakunkan Simla: Department of Agricultural Technology, Faculty of Technology, Mahasarakham University,44150,Thailand
3. Bhornchai Harakotr: Department of Agricultural Technology, Faculty of Science and Technology, Thammasat University,12120,Thailand
Abstract:
This study was conducted on twenty of okra lines (treatments) at the Thaksin University in two farming systems (conventional and organic cultivations). The experiments of conventional and organic cultivations were carried out in a Randomized complete block design (RCBD) with four replications to evaluate the yield, yield components and genetic variations. The results showed significant variability (p=0.05) in the okra lines for fresh important traits of yield; marketable fruits.plant-1, fruit yields.plant-1, seeds.fruit-1, 100 seed weight, 1000 seed weight and harvest index. The number of marketable fruits.plant-1 of KN-OYV-02 line showed the number of marketable fruits yield approximately 60.85 and 51.91 fruits.plant-1 under the conventional and organic farming systems, respectively. The lowest of marketable fruits.plant-1 were investigated in the OP (Open Pollination) line (30.58 and 26.74 fruits.plant-1 under the conventional and organic farming systems, respectively). KN-OYV-02 line produced the highest yield of two farming system (1,168.37 g.plant-1). The OP line produced the lowest yield under the organic farming system (505.16 g.plant-1). There were significant interactions between the cropping system and lines for the two system plantations. So, the results indicated that the KN-OYV-02 line showed the highest potential for okra breeding and production in both systems.
Page(s): 480-490
Published: Journal: Asian Journal of Agriculture and Biology, Volume: 8, Issue: 4, Year: 2020
Keywords:
Okra , Yield components , Line , Gene interactions
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