Current status of coconut cultivation by households
Table 2 results showed that the age group with the highest proportion is 36-45 years old (36.5%) and 46-55 years old (30.8%), accounting for more than two-thirds of coconut growers in the middle working-age range. The number of young and elderly people was relatively low. Education level from high school and above accounted for the highest proportion at 61.1%, indicating that most current coconut growers were an intermediate to high level of education. Compared to domestic and international studies, the age and education level of coconut grower was similar. Therefore, policies were needed to attract, support and train young human resources and to improve farmers’ skills to access and apply new technical advances in coconut cultivation in Vinh Long province.
Table 3 showed that smallholder coconut farms with an area of 0.3-0.5 ha accounted for 63.2%. The age group of 5-11 years accounted for 92.8%. Most of the coconut area belongs to trees in the middle age stage, starting to bear fruit steadily and not yet old. The coconut-growing area in Tra Vinh was smaller compared to the coconut growing areas in some districts of Ben Tre province, which ranged from 0.5 to 1.0 ha, with Giong Trom districts having up to 50% of surveyed households cultivating 1.0-2.0 ha of coconut
(Thu et al., 2024).
Table 4 showed that the planting density of copra coconut ranged from 160-300 trees/ha, with an average of 254 trees ha
-1 and an average yield of 42.1 fruits/tree/year; drinking coconut ranged from 180-400 trees ha
-1, with an average of 317 trees ha
-1 and an average yield of 76.7 fruits/tree/year; Sap coconut ranged from 160-300 trees/ha, with an average of 233 trees ha
-1 and average yield of 47.5 fruits/tree/year. The reason why the planting density of the drinking coconut group was higher than that of the copra and Sap coconut groups was mostly because drinking coconut belonged to the dwarf coconut group, which was smaller biomass due to a shorter growth period and a shorter harvesting cycle. The higher yield of drinking coconut was due to smaller fruit weight and a higher fruit set rate, as most belong to self-pollinating or semi-self-pollinating trees. According to
Thomas et al., (2018), the density of coconut planting in regons around the world varies greatly, depending on soil characteristics, varieties and cultivation methods. Appropriate density helped coconut trees were given the right amount of light for growth and development
(Bhat et al., 2024). The research results by
Thu et al., (2024) showed that tall coconut varieties were a planting density of 160-240 trees ha
-1 and an average fruit of 80-100 fruits/tree/year for dwarf coconuts and 40-80 fruits/tree/year for tall coconuts,
Nhu et al., (2024) reported Sap coconut yields ranged from 40.8 to 96.3 fruits/tree/year. The yield coconut of Tien Giang province fluctuated from 30-91 fruits/tree/year
(Tri et al., 2024). According to
Gunathilake (2013), coconut trees were generally spaced 8 m × 8 m apart (160 trees ha
-1 thereby 75% of the area remains below it was production potential from the age of 20 years or so.
The equation Y = ax + b in Fig 1 showed that fruit yield per tree per year increased slightly (0.1257 fruits) with each additional year of coconut age. However, the correlation coefficient (R
2) was very low (0.0542), meaning that only about 5.42% of the annual fruit yield variation was explained by the age of the coconut. The correlation between coconut age and yield was very weak. Therefore, coconut age was not a major determinant of annual fruit yield (Author’s own survey, 2025). Many studies worldwide also indicated that coconut yield can peak at mature ages (7-20 years), then gradually decreased as the tree ages, but this effect also depends on the variety, cultivation conditions and care. In countries like India and Thailand, the correlation between age and yield was often higher (R
2 ≈ 0.2-0.4), especially for pure coconut varieties or intensive cultivation
(Thomas et al., 2018).
Physicochemical characteristics of coconut cultivation soil
Results from Table 5 showed that the average pH value was neutral, with soil pH ranging from 6 to 9, average 7.19. The suitable pH value for coconut trees to grow and develop strongly that was 6-7
(Ve et al., 2005; Issaka et al., 2012). The mean soil electrical conductivity (EC) of 0.63 mS cm
-1 suggests that the soil was within the non-saline range.
Nghia et al., (2024) surveyed coconut-growing areas in Ben Tre province and found EC ranging from 1.01 to 1.56 mS cm
-1. The appropriate EC for crops ranged from 0.4 to 1.0 mS cm
-1 (Hoa et al., 2012), while the best EC for coconut growth and development was 2 mS cm
-1 (Ve et al., 2005). Soil temperatures ranged from 28-34°C, suitable for coconut growth. Soil moisture was low, averaging 13.94%. Low moisture affected the solubility and transport of nutrients from the soil to the plant, photosynthesis, cell structure growth and temperature regulation within the plant. The reason for the low soil moisture in coconut plantations was due to the traditional practice of not irrigating coconuts directly but applying seepage irrigation by retaining water in the ditches within the coconut planting contour system. Survey results on coconut garden yields showed that coconut trees that had good water absorption conditions will yield high and stable productivity and vice versa. According to the
Philippine National Standard (2018), good coconut-growing soil usually have been suitable soil moisture content of 15-30%, ideally 20-25%. Too low (<10%) would been result in poor growth, small fruits and easy shoot death in the dry season. However, integrated use 25 % recommended dose of fertilizers and 75% recommended dose of nitrogen from arganic sources were brought upland rice in Arunachal Pradesh
(Borah et al., 2016).
The results in Table 6 showed that most soil samples was low nitrogen content, accounting for 76.8%, while only a small proportion ranged from rich to very rich, accounting for 12.1%. This may be due to farmers mainly using inorganic fertilizers and the low moisture content in the soil, which increased the risk of nitrogen loss in gaseous form, leading to low nitrogen levels in the soil that affected leaf and stem development and coconut yield. In Vietnam, according to various sources, agricultural soils in the midland and mountainous provinces were often nitrogen-poor, mostly below 100 mg kg
-1, with only intensively cultivated areas showing levels above 100 mg kg
-1 (
Vietnam Academy of Agricultural Sciences, 2015). In countries with developed agriculture, the available nitrogen content in agricultural soils was generally much higher. An average of 150-300 mg kg
-1 was common for intensively cultivated land with proper chemical and organic fertilization (
FAO, 2020). According to
Kumar et al., (2012) showed farmers who applied lime (3 t ha
-1) into the furrows, increased maize yield by 32% compared to the others.
The results in Table 7 showed that the proportion of soil very rich available phosphorus was the majority about 68.2%, followed by moderately to rich soil (17.2%), with only a very small amount being poor (6.1%). The cause may be due to farmers’ habits of applying more phosphorus fertilizer than the plant’ needed to also reduce soil acidity, leading to phosphorus accumulation in the soil.
Thuy et al., (2020) were found that in vegetable-growing soil in the Mekong Delta, available phosphorus-rich soil accounted about 74%. The nutrient interactions between these nutrient and others together that measured in terms of growth, yield response and changes in concentration and uptake of nutrients
(Ramamoorthy et al., 2023).
As shown in Table 8, survey results of 198 soil samples, the proportion of potassium-poor soil (<100 mg kg
-1): 48.5%, with more than 50% of the remaining samples ranged from medium to very rich in potassium. The cause may be that farmers have applied little potassium for a long time while the potassium requirement for coconut trees was higher than both nitrogen and phosphorus. According to many studies in the Mekong Delta and rice-growing areas in Vietnam, the proportion of potassium-poor soils was usually 40-60%, with an average of around 30-40% and rich soils accounted about 10-20% of samples (
Vietnam Academy of Agricultural Sciences, 2015). In industrialized countries like the United States, potassium-deficient soil was very rare (only about 10-15%), mostly thanks to good fertilizer management and proper crop rotation. Researchers reported that globally, about 20% of agriculture land faces severe potassium deficiency, with specific regions experiencing even more serious shortages, including 44% of agricultural land in Southeast Asia, 39% in Latin America, 30% in the South Asia subregion, sub-Saharan Africa and 20% in East Asia, largely due to more intensive agriculture activities (
Ministry of Agriculture, 2024).
Correlation between yield and soil physicochemical properties
Fig 2(a) showed that R
2 coefficient was extremely low (0.0104), meaning that the moisture content in the soil had almost no significant effect on the yield of coconuts in the study sample. The reason should be that the current survey scope was not a fruit-bearing cycle time series of coconut trees (Author’s Own Survey, 2025). International studies all emphasize that soil moisture was an important factor for coconut growth, especially during the fruiting and flowering stages
(Thuy et al., 2020). Water deficiency would lead to the phenomenon of hanging coconuts and a significant decline in productivity (
Hau and Duong, 2011). Moreover, Fig 2(b) also proved that the correlation between pH and fruit yield per year in this study was very weak, almost statistically insignificant. Many international studies also showed that the effect of soil pH on fruit tree yield depend on the type of tree, ecological region and cultivation practices (Author’s own survey, 2025). In some studies, extreme soil pH (too acidic or too alkaline) often caused a significant reduction in yield. The optimal pH for the growth and yield of coconut ranges from 5.5 to 6.5 (
Philippine National Standard, 2018). Fig 3 (a) Coefficient of determination (R
2 = 0.0399). This was very small value (close to 0), indicating that the correlation between soil nitrogen content and coconut yield was very weak. Only about 3.99% of the variation in yield (fruit production) could be explained by the variation in soil nitrogen content. Although the trend suggested that higher nitrogen may slightly increase yield (R
2), the difference was not important and the predictive value was very low. The reason may be that soil nitrogen was not the main determining factor for coconut yield in the surveyed area. Other factors, such as water, variety, care and other minerals, may play a more significant role (Author’s own survey, 2025). According to
Thuy et al., (2020), coconut yield can be increased through the application of organic and inorganic fertilizers. Similarly to the correlation coefficient between soil nitrogen and coconut yield, the correlation coefficient between available phosphorus in the soil and coconut yield (Fig 3b) and available potassium in the soil and coconut yield (Fig 3c) were very low. The reason may be that yield is determined by many factors and nutrient values need to be assessed throughout the entire fruiting period.