International Journal of Horticulture, 2024, Vol.14, No.4, 207-217 http://hortherbpublisher.com/index.php/ijh 210 2.5.5 Neck length The length of the neck was measured with the help of measuring scale at 100 DAT in centimeters. 2.6. Yield parameters 2.6.1 Bulb diameter The diameter of the bulb was measured by using vernier caliper after harvesting the bulb of the onion. 10 tagged sample plants were taken from each plot. The diameter was expressed in cm. 2.6.2 Bulb length The length of the bulb was measured with the help of vernier caliper after harvesting of the bulb of onion for higher accuracy. Bulb length of the tagged sample plant from each plot was measured. The bulb length was expressed in cm. 2.6.3 Total yield The total yield of each tagged sample plant was measured using digital weighing balance. Whole plant was weighted and expressed in kilogram (kg). 2.6.4 Shoot weight The weight of the shoot was measured using weighing balance after harvesting of the onion. The shoot was removed from the bulb by cutting it 5cm above the bulb with sterilized scissor and knife. The weight of the shoot was expressed in gram (gm). 2.6.5 Bulb weight The weight of the bulb which were cut leaving 5cm of shoots were measured using weighing balance. All the sample bulb from each plot were weighted and expressed in gram. 2.6.6 Root weight Root weight of the onion was taken by cutting the roots from the bulb and measured by using weighing balance. The weight of root was expressed in gram. 2.7 Data analysis and techniques 2.7.1 Statistical analysis The tagged ten sample plants were taken from each plot and observation were recorded for each parameter. The collected data were arranged in Microsoft excel. Mean value was calculated and used for statistical analysis. To analyze the treatment means and their variations statistically, collected data were subjected to analysis of variance (ANOVA) for randomized complete block design (RCBD) model.The variations among the treatment means were compared by Ducan's multiple range test at the 5% level of significance. The significance effect of treatments was judged with the help of F (Variance ratio) value. Furthermore, after the ANOVA test, a post hoc test known as Fisher's Least Significant Difference (LSD) test was conducted to separate the treatment means. 3 Results and Discussion 3.1 Effect of different mulching materials on growth parameters 3.1.1 Number of leaves The data showed the effect of mulching on number of leaves (Table 2). It showed that there is no significant effect of mulching materials in 60 DAT. However, the effect of mulching on number of leaves was increasing significantly (P<0.01) at 100 DAT. The number of leaves at 100 DAT was highest on straw mulch followed by rice husk mulch, banana leaves mulch and the least number of leaves were recorded on sawdust mulch. More number of leaves results in high photosynthetic activities which directly influenced the yield. Higher plant height and more number of leaves in mulching may be due to suitable moisture, nutrient availability in root zone and reduced evaporation. At 100 DAT maximum number of leaves was found in straw mulch.More number of leaves results in high photosynthetic activities which directly influence the yield. Organic amendment including straw
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