Yield and yield attributes of rice
The increasing potassium application significantly increased the number of effective tillers per sq. m of rice at all growth stages, with the greatest differences observed between K level 0 kg K
2O ha
-1 (254) and higher potassium levels (20, 30, 40, 50, 60) kg K
2O ha
-1. In the case of K level 40 kg K
2O ha
-1 (410), significant differences were found when compared to 20, 30, 50 and 60 K levels, with p-values <0.05 as given in Table 1. Potassium application has been linked to a significant rise in the number of effective tillers in rice plants.
Mirza et al. (2010) reported that increase in number of tillers in rice plants was due to influence of different fertilizer combinations. This may also be probably due to increased availability and quick accessibility of nutrients. Similar findings were reported by
Siavoshi et al. (2011) and
Gebreslassie (2016).
Data in Table 1 revealed that K level of 40 kg K
2O ha
-1 (190) showed significantly higher and increase in grain number compared to 50 kg K
2O ha
-1 (172) and 60 kg K
2O ha
-1 (168). This suggests that the highest potassium levels (50 and 60 kg K
2O ha
-1) did not result in the highest number of filled grains per panicle compared to the 40 kg K
2O ha
-1. In an experiment, the application of K not only enhanced potential photosynthetic activity but also reduced sodium (Na) and magnesium (Mg) concentrations. This adjustment improved the ratios of K/Na, K/Mg and K/Ca, which are critical for effective grain filling (
Bohra and Doerffling, 1993).
Among the different levels of K, maximum test weight (28.52 g) was observed under 40 kg K
2O ha
-1 followed by 30 kg K
2O ha
-1 (28.20 g), 50 kg K
2O ha
-1 (27.84 g) and 20 kg K
2O ha
-1 (27.71 g). Potassium application shown to substantially boost the yield of various rice varieties, with optimal rates typically between 40 and 60 kg K
2O ha
-1. This level of application has been associated with improved grain weight and a reduction in pest infestations (
Sarwar, 2012).
K level of 0 kg K
2O ha
-1 recorded significantly lower yield (4020 kg ha
-1) than most other K levels. The highest grain yield was observed under 40 kg K
2O ha
-1 (5620 kg ha
-1), which was significantly superior to all other treatments (p<0.001). Overall, the potassium levels could be ranked in descending order of effectiveness as 40>30>50>60>20 >10 ≈0 kg K
2O ha
-1. Increase in yield of rice might be due to prolonged availability of K in soil, significant decrease in number of chaffy grains, increased tillering and concentration of K in straw and grain. Similar findings was also reported by
Ravichandran and Sriramachandrasekharan (2011). In this study, 40 kg K
2O ha
-1 (6720 kg ha
-1) and 30 kg K
2O ha
-1 (6500 kg ha
-1) observed the most effective K levels for increasing straw yield of rice, with consistent performance across both years. Studies have demonstrated that potassium application rates between 40 and 80 kg ha
-1 can led to significant increases in straw yield. This is in conformity with the findings reported by
Khan et al. (2006).
Yield and yield attributes of lentil
Potassium application significantly influenced lentil growth and yield parameters under residual fertility conditions in the rice-lentil cropping system.
Data presented in Table 2 showed that the number of branches per plant was highest in K level 50 kg K
2O ha
-1 (21), followed by 40 kg K
2O ha
-1 (20), which was at par with K level 60 kg K
2O ha
-1 (20), all significantly exceeding 0 kg K
2O ha
-1 (13). In a study,
Singh et al. (2011) reported that secondary branches per plants were increasing with increasing the level of nutrient. Pods per plant of lentil crop recorded the highest values in K level 50 kg K
2O ha
-1 (99) and 60 kg K
2O ha
-1 (90), significantly surpassing 0 kg K
2O ha
-1 (46). This improvement might be due to the fact that potassium acts as catalytic agent in activating a number of enzymes and synthesis of peptide bonds (
Sahay et al., 2013). Similar findings were also reported by
Srinivasarao et al. (2003).The highest test weight (28.40 g) was observed in K level 50 kg K
2O ha
-1, significantly greater than the control 0 kg K
2O ha
-1 (24.07 g), indicating better grain filling due to improved K availability. Application of potassium at higher levels resulted in higher seed weight which may be probably due to its involvement in translocation of photosynthates and its ability to develop well- developed bold seeds. These findings are in close agreement with those of
Ali et al. (2007).
The analysis of results shown in Table 2 indicated that the seed yield of lentil was observed highest in K level 50 kg K
2O ha
-1 (762 kg ha
-1) across all comparisons, while 0 kg K
2O ha
-1 (544 kg ha
-1) the lowest. This may also be due to the excess K applied in K levels 50 kg K
2O ha
-1 and 60 kg K
2O ha
-1 in rice which remained in the soil, making more potassium available for the lentil crop leading to more nutrient uptake and growth. Similar results was also reported by
Fratini and Ruiz (2001). Stover yield was maximized in K level 50 kg K
2O ha
-1 (1219 kg ha
-1), followed by 60 kg K
2O ha
-1 (1108 kg ha
-1). This might be due to the cumulative effect of yield attributing characters and enhanced photosynthetic efficiency and greater diversion of assimilates towards reproductive organs. Similar findings were also reported by
Farjam et al. (2014).
Nutrient content and uptake in rice
The N content in grain and straw of rice was statistically significant which ranges from 0.93% to 1.13% and 0.32% to 0.63%. The phosphorus content due to different K levels in grain of rice varied from 0.26% to 0.42% and in straw from 0.08% to 0.24%. Potassium content in rice grain was non significantly affected by different levels of K but was statistically significant in straw which ranges from 2.29% to 3.38% as observed in Table 3. It was observed that potassium content in rice straw was higher than that of grains in all the K levels.
Krishnappa et al. (1990) reported that K application increased K content in rice. In terms of nutrient ratios, potassium application raises the concentration of K in rice straw while simultaneously decreasing levels of sodium (Na) and magnesium (Mg). This adjustment improves the ratios of K/Na, K/Mg and K/Ca ratios (
Bohra and Doerffling, 1993).
Data in Fig (1 to 6) showed that K level 40 Kg K
2O ha
-1 recorded the highest uptake of N, P and K in grain and straw of rice with other level comparisons. This might be due to the fact that nutrients are absorbed by plants proportionately as the available nutrients pool in soil solution increases. This was very close with the findings reported by
Singh et al. (2005) and
Rayar (1990). In a study,
Frederick et al. (2025) reported that a significant increase in yield, yield components and NPK uptake of rice was noted with increase in potassium levels from 0 to 30 and 60 kg ha
-1.
Nutrient content and uptake in lentil
The percentage of N, P and K concentration in lentil seed and stover was recorded maximum in K level 50 kg K
2O ha
-1 and 60 kg K
2O ha
-1, although they did not differ significantly from each other and the lowest in 0 kg K
2O ha
-1 and 10 kg K
2O ha
-1 (Table 4). Similarly, 50 kg K
2O ha
-1 and 60 kg K
2O ha
-1 both observed the highly effective nutrient uptake of N, P and K compared to lower K levels, but there was no yield advantage to increasing the potassium level beyond 50 kg K
2O ha
-1 for maximizing uptake in seed and stover as shown in Table 5. This may be due to the involvement of potassium nutrient to increase the crop growth with increase in utilization and translocation of other essential nutrient especially N to plant and synergy between N and K in soil system resulting in boosting crop yield (
Guo and Zhu, 2004;
Bruns and Ebelhar, 2006).
Limitations and future scope
The present study focused primarily on the agronomic and nutrient response of rice- lentil cropping system to potassium fertilization under acid soil conditions. Economic analysis of treatments was not conducted, which restricts direct recommendations on the profitability of different potassium levels. In addition, the experiment was carried out over two years at a single location; therefore, the findings should be validated under diverse agro-ecological conditions and longer-term trials before drawing generalized recommendations. Future investigations should integrate both agronomic and economic analyses to identify the economically optimal potassium dose for rice-lentil systems. Multi-location and multi-season trials across varied soil types and altitudes in the North-Eastern region would help refine recommendations and capture site-specific responses. Long-term studies are also needed to evaluate the residual and cumulative effects of potassium on soil fertility, nutrient balances and system sustainability. In addition, incorporating advanced approaches such as soil test-based fertilizer recommendations, nutrient budgeting and precision agriculture tools could further improve potassium management strategies in acid soils.