Growth parameters
The result showed that there was an effect of cropping (p<0.05) and management (p< 0.05) levels under rain-fed farming on all growth parameters. However, there was no interaction (p>0.05) between cropping and management levels. Among cropping levels, CL 1.2 performed the highest in plant height (12.56, 15.15, 29.49, 49.74 cm), stem diameter (2.83,3.36, 5.69, 8.98 mm), leaf length (3.83,4.69,8.18, 12.59 cm), leaf breadth (1.56,2.23, 3.03, 4.69 cm) at 35, 50, 70 and 85 days after transplanting (DAT). Only number of leaves per plant was found highest in CL1.1 throughout the growing season. Among management levels, ML 2.2 performed the highest in plant height (11.82, 14.42, 30.95, 48.62 cm), leaf length (3.60, 5.14,8.12, 11.69 cm) and leaf breadth (1.54, 2.12, 3.22, 4.52 cm), ML2.1 in stem diameter (2.77, 3.35, 5.84, 8.66 mm) and number of leaves per plant (13,16,67,141) at 35,50,70 85 DAT. CL1.3 performed the poorest in all growth parameters throughout the growing season. Among combination effect of cropping and management levels, CL1.2*ML2.2 showed the highest in plant height, plant diameter, leaf length, leaf breadth (Table 1, 2, 3, 4). Only leaf number was the highest under CL1.1*ML2.1 (Table 5). The lowest was performed under CL1.3*ML0 (control) in all the parameters.
The outperformed growth parameters of chilli in CL 1.2 could be due to high content of soil moisture (Table 7) in combination with soil properties enhancement in a modified bed (Table 8). Similar result is supported by
Govaerts et al., (2007) that the soil moisture variability is associated with designing raised bed methods. According to Chadha (2019) soil moisture significantly attributed to growth parameters.
Ghosh et al., (2018) further reported that soil moisture involves in nutrient transportation to roots and nutrient solution equilibrium. The growth parameters exhibited in ML 2.2 could be due combination of soil moisture with augmentation of NPK in modified bed in addition to concentrations enhancement of stored carbohydrates in stems, providing more leaf area and influencing plant size. Similar finding was also figured by
Sanchez et al., (1993) and
Maboko et al., (2012).
Yield parameters
The data showed that there was an effect of cropping levels (p<0.05) on all yield components except fruit girth at the apex and fruit length (p>0.05). Similarly, there was an effect (p<0.05) of management levels on all fruit parameters except fruit girth at the apex. However, there was no interaction (p>0.05) between cropping and management levels on yield parameters. The result indicated that CL 1.2 showed the maximum in fruit weight (27.69 gm), fruit girth (27.48mm), fruit length with pedicel (21.11 cm), fruit length (16.36 cm) and fruit number per plant (27) except fruit girth at the apex (6.91 mm) was found the maximum in CL1.1. CL 1.3 showed the minimum in fruit weight (19.24 gm), fruit girth (23.73 mm), girth at apex (6.55 mm), length with pedicel (18.56 cm), fruit length (14.46 cm) and fruit number/plant (10). ML1.1 recorded the maximum in fruit weight (26.76), fruit length with pedicel (21.41), fruit length (16.89), fruit girth at apex (7.02) and ML2.2 noted the maximum in fruit girth (27.22) and fruit number per plant (25). CL1.2*ML2.2 showed the maximum in fruit weight and number of fruits per plant whereas CL1.2*ML2.1 found the maximum in fruit girth, fruit girth at the apex and fruit length. TL1.3*0 observed the minimum in all yield parameters except minimum fruit girth at the apex which was found the minimum in TL1.2*2.2 (Table 6).
The maximum yield in CL1.2 could be due to high soil moisture content and soil properties content in a specially modified bed. The finding is similar to
Singh et al., (2008) where the modified bed of ridged and furrow saves 20-25% water and increase 10-20% yield. The finding further supported by
Bhardwaj et al., (2010) and
Hamilton et al., (2005). The result stated by Sabeh, (2016) where beds were designed to add soil moisture and utilize nutrient availability was in line with Tshering’s (2016) statement. The fluctuation of yield in both ML2.1 and ML 2.2 could be due to fluctuation of moisture content in ML 2.1 and 2.2. Thus, finding showed that the 1
st bottom three flower removal of chilli had no effect on yield irrespective of different raised beds. However, number of fruit per plant (25) were found the maximum in ML2.2. This could be in accordance with Starkeayres (2014), who mentioned that removing first few flowers enhance quality and quantity. The similar finding supported Ryczkowski (2018) and
Maboko et al., (2012) that removing flowers allow plants to allocate energy to root development and leaf growth that further produce uniform, quality and quantity fruits.
Sanchez et al., (1993) further supported that removing few flowers from pepper plants increased fruit and seed yield. This study also found that even though CL1.2*ML2.2 performed highest in fruit weight and number of fruits per plant among the treatments, the yield was comparatively lower than elsewhere yield. The low yield could be due to the fruit size of super-solo which is larger than many varieties and the large size fruits are subjected to produce less numbers than the smaller size fruit. The similar result is reported (RNRRC- Annual report 1995-1996). It also could be, since this experiment applied only farm yard manure (FYM) and compost for mulching would have attributed to low yield, whereas, application of FYM with Suphala in farmers’ field every year would have attributed to high yield. Similar result is confirmed
Dorji et al., (2011).
Soil moisture content
The finding found that there was a significant effect (p<0.05) of cropping levels of chilli on soil moisture whereas, there was no significant effect (p>0.05) of management levels on soil moisture throughout the growing period. Similarly, there was an interaction (p<0.05) between cropping and management levels on soil moisture throughout the growing period. The result showed that CL 1.2 required less water (225.83, 227.83, 188.00, 105.33 mbar) from March till July, 2019, whereas CL1.3 required more water (261.67, 236.67, 225.00, 163.00 mbar). However, there was fluctuation of moisture content in ML1.1 (252.83, 224.67, 205.33, 154.67, 115.50) and ML1.2 (240.50, 262.33, 201.67, 151.67, 123.67) from March to July, 2019. The highest soil moisture content was observed in CL1.2*ML2.2 from March to July, 2019 (Table 7). The lowest soil moisture was found in TL1.1*2.2 till the mid-season and TL1.3*0 (control) in later growing stage. The high moisture content in CL1.2 could be due to prevention of water loss from the raised ridge side of a specially modified bed as stated by Tshering (2016). This is in accordance with
Govaerts et al., (2007) and
Rossato et al., (2017).
Soil properties
The data indicated that there was significant effect of cropping and management levels on soil properties. However, there was no effect on interaction between cropping and management levels on all soil properties. CL 1.2 observed the highest in OC (0.64%), pH (6.22) and N (0.06%), P (0.44mg/I), K (1846kg/ha) and CL1.3 showed the lowest in OC (0.45%), pH (6.14), N (0.04%), P (0.31mg/I), K (1165kg/ha). ML2.2 performed the highest and ML2.1 observed the lowest in all soil properties. Similarly, CL1.2*ML2.2 found the highest and CL1.3*ML0 showed the lowest in all soil properties (Table 8). The highest content of chemical properties under specially modified bed could be due to nutrient and moisture retention within the bed which might have absorbed by plants for growth and yield of chilli crops as mentioned
Ghosh et al., (2018). Similar finding was reported
Miernicki et al., (2018). The finding by Buck (2019) observed that geometry bed reduced both run off water and nutrients. Waateringe and Geel (2016) highlighted that designing bed with climate change triggers moisture and nutrient.