Plant height
Plant height at the beginning of growth was only significantly affected by the population treatment. The tallest and shortest plant heights were 16.0cm for P
3 and 14.0 cm for P
1. Crowded plants resulted in competition for nutrients and sunlight, making the plants grow taller and etiolated to exploit light to the maximum in dense plant populations. Moreover,
Irawan et al., (2018) mentioned that the positive effect of population on vegetative growth is related to the capability of the plant to adapt with all growth factors so that it can reach maximal growth.
Number of plants per clump
A shallot plant produces bulbs, each of which grows and has its leaves. It develops as a tiller, which gather in clusters (clump). Number of tillers per clump was only significantly affected by the population. There was a positive correlation (r = 0.904*) between population (X) and tiller number per plot (Y). (Y = 0.659 + 0.818 X; R
2 = 0.818*). However, if counted per plant, the highest total tiller number was for the P
1 (100 plants/m
2) treatment (Table 1).
Leaf number per clump
Total leaf number per clump was only significantly affected by the plant population at two to eight weeks after transplanting (Fig 2). The P
3 treatment had the highest leaf number per clump because the plant population per planting hole was the greatest. The total number of leaves was positively correlated (r = 0.93*) with the number of tillers (R
2 = 0.87*). The higher the number of tillers, the higher the number of leaves produced. However, the highest of leaves number per plant was at P
1 treatment (Table 2).
Vegetative growth performance was generally similar to previous research
(Sumarni et al., 2012). In contrast, according to
Dawar et al., (2007), the increasing of plant population by 100% would induce their plant height significantly. However, research carried out by
Gessesew et al., (2015) stated that N fertilizer and levels of spacing treatments also affected the onion performance. This latter result corresponded with other studies
(Kishor et al., 2017; Kahsay et al., 2014; Ngullie and Biswas 2017). The reason for the higher number of leaves and tillers per plant in a less dense population is thought to be due to the lack of competition between plants for the main factors supporting growth.
Percentage of productive plants
The percentage of plants per plot that grew and produced bulbs was only significantly affected by the plant population treatment (R
2 = 0.756*), it was about 55 to 75% and (Fig 3). Increasing the population in a planting hole results in competition for water, light and nutrition. Because of a bundle of fibrous roots extending only for a short way into the soil, any factors that cause a sub-optimal environment quickly affect the growth and development of the plants, the formation of bulbs and ultimately the production. Plants in the P
1 treatment performed better than those in the other treatments. This was the outcome of better access to nutrition and lower levels of competition. This implies that a denser population leads to a reduction in the number of plants that grow and produce normally.
Bulb performance
The percentage of plants that produced single or multiple bulbs was only significantly affected by the variety and population separately, which Trisula and P
3 treatments had significantly more single bulbs than Brebes and other population-treatments, respectively (Table 3; Fig 4).
It seems that variety has genetically response to environment as well as cultural practices.
Ramanjaneyulu et al., (2017) reported that the difference of genotypes is mostly due to their growth, expression, root characters, photosynthetic efficiency and tolerance to moisture stress as well. Physiological processes such as growth and development, are principally impaced by the environmental conditions, such as photoperiod, temperature, the wavelength of light, density, water stress, nutrients and growth hormones. However, the plant’s genetic character is also a factor. In shallot, the
AcFT1 and
AcFT4 genes promote and inhibit bulb formation, respectively (Khokhar 2014;
Shimeles 2014;
Abdissa et al., 2011). According to
Masuzaki et al., (2007), a gene or genes that could inhibit the bulb formation and stimulate side shoot formation in the shallot plant may be located on chromosome 2A.
The size of the bulb produced was only affected by the population (Table 4). There was a negative correlation (r = -0.882*) between bulb weight and population. A greater plant population decreased the bulb size (R
2 = 0.788*). We also observed that the percentage of multiple bulbs (Y) was positively correlated (r = 0.704*) with bulb size (X) (Y = -2.6 + 4,75 X; R
2 = 0.495*). This indicated that reducing the population (P
1), would trigger the formation of multiple bulbs in response to the environment.
Yields: the weight and total number of marketable bulbs per plot
The weight and number of marketable bulbs per plot were only significantly affected by the population. We found positive correlations between the total number of marketable bulbs with population number (r = 0.85*) and the weight of bulbs per plot with population number (r = 0.48*) (Table 5). The P
3 treatment yielded both the highest number of bulbs (356 bulbs) and the highest total mass of bulbs (3,306g per plot). In terms of variety, bulb weight of 2,840g and 2,726g and total marketable bulbs per plot of 256 and 231 were found for Trisula and Bima Brebes, respectively.
Derived TSS-shallot yield was significantly and positively correlated with the number of tillers, the number of leaves and the population and negatively correlated with the average bulb weight (Table 5). Increasing the population per plot would increase in the number of tillers and leaves as a source of photosynthesis, enhance their productivity and increase the yield per hectare. For Bima and Trisula, the estimated production of bulbs was 7.45 t/ha and 7.03 t/ha, respectively. However, the size of the bulbs was negatively correlated (r = -0.735*) with the total number of bulbs. Thus, smaller individual bulb size is essential in maximizing the total number of productive shallots per unit area (Fig 5). These findings were in line of other studies
(Maintang et al., 2019).