Journal of Tropical Crop Science Vol. 6 No. 3, October 2019 www.j-tropical-crops.com 164 Defiyanto Djami Adi, Iskandar Lubis, Suwarto and Sugiyanta Determination of the Optimum Rates for N, P, and K Fertilizer for Upland Rice Variety “IPB 9G” Defiyanto Djami AdiA, Iskandar LubisB, SuwartoB and SugiyantaB A Graduate School, Department of Agronomy, IPB University, Darmaga Campus, Bogor 16680, Indonesia B Department of Agronomy and Horticulture, Faculty of Agriculture, IPB University, Bogor 16680, Indonesia Corresponding author; email: iskandarlbs@yahoo.com Abstract A study was conducted to determine the optimum rates of N, P, K fertilizers on “IPB 9G” upland rice variety from March to July 2018 at the Sawah Baru Experimental Field of IPB University, West Java, Indonesia. Three paralel experiments were carried out in a randomized complete block design to test five fertilizing levels, i.e. 0, 50, 100, 150 and 200% of the reference rate. The reference rates of fertilizer application are 100% N = 200 kg Urea ha-1, 100% P = 100 kg SP36 ha-1, and 100% K = 100 kg KCl ha-1. The applied fertilizers were Urea (46% N), SP36 (36% P2O5) and KCl (60% K2O). Fertilizers were applied three times, 40% at planting, 30% at 4 WAP and the rest 30% at 8 WAP; 100% P and 100% K were applied at planting. Increasing N fertilizer from 0 to 200% of the reference rate increased plant height, dry weight biomass at heading and at harvest, number of productive tillers, harvest index, and grain weight per clump. P increased dry weight of the above ground biomass, whereas K fertilizer increased the leaf area, canopy dry weight, number of grain per panicle, panicle length, harvest index and grain weight per clump. The optimum rate of N and P were 107.09 kg Urea ha-1 and 63.3 kg P2O5 kg.ha -1, respectively, whereas the optimal rate for K fertilizer for “IPB 9G” could not be determined with this study. Keywords: Oryza sativa, grain weight, growth phase, harvest index, plant growth rate Introduction Rice (Oryza sativa L.) plays an important role in the food supply in Asia, including Indonesia. Approximately 95% of the Indonesian population consumes rice as a staple food (Syakhril et al., 2014). Norsalis (2011) reported that consumption of rice can cover 63% of the total energy adequacy and 37% of protein. Efforts to increase rice production in Indonesia is still focused on intensification of culture as massive conversion of agricultural land into non-agriculture has significantly decreased the rice production area (Ministry of Agriculture, 2004). Around 5.1 million ha of dry land spread across various provinces in Indonesia has potential to be used to grow upland rice (Toha, 2007; Hidayat, 2011). The current data from BPS in 2014, however, showed that the potential area has drop into 3,292,578 ha. The common problems of developing dry land area is caused by low levels of soil fertility. The use of new rice varieties which are resistant to pests and diseases, and management of efficient application of fertilizer can potentially increase rice productivity in the dry land area. IPB University has released new superior varieties of upland rice, named “IPB 8G” and “IPB 9G”. “IPB 9G” variety has a potential yield of 9.09 tons.ha-1 with an average yield of 6.09 ton.ha-1. Both varieties have resistance to several races of blast disease infection (Food Crop Research and Development, 2017). Superior varieties in general require balanced nutrients, especially N, P and K, to reach their potential high yields. The availability of N, P and K on soil is the most limiting factor to rice growth and yield (Munawar, 2011). Putra (2012) reported that fertilizing with 200 kg NPK, 50 kg urea, and 201 kg per ha could increase the yield of upland rice “Situ Patenggang” to 3.4 t.ha-1, or 58% higher compared to the application of 200 kg urea single fertilizer, 100 kg of SP 36 and 50 kg.ha-1 of KCl per ha. According to Ramadhan (2014) application of NPK fertilizer can significantly improve rice growth. In addition, Krismawati and Firmansyah (2014) also stated that the use of fertilizers N, P, K could increase plant height, number of tillers, panicle, grain weight, and yield of “Situ Patenggang” variety. Most rice growers tend to use the excessive amount of fertilizer to increase yield. The objective of this study is to determine the optimum doses of N, P, and K fertilizers for upland rice “IPB 9G”. Andika Determination of the Optimum Rates for N, P, and K Fertilizer for Upland Rice .......... Journal of Tropical Crop Science Vol. 6 No. 3, October 2019 www.j-tropical-crops.com 165 Material and Methods Time and Place This study was carried out at the Sawah Baru Experimental Station of Department of Agronomy and Horticulture, IPB University from March to July 2018. “IPB 9G” seeds were used for this study. Experimental Design The experiment consisted of three parallel experiments, each to determine the optimum fertilization of N, P, and K (Table 1). Each trial tested five levels of fertilizer doses, i.e., 0, 50, 100, 150 and 200% of the reference rate, which are 100% N = 200 kg Urea; 100% P = 100 kg SP36; and 100% K = 100 kg KCl per ha (Doberman and Fairhust, 2000). The three experiments consisted of a total of 45 plots organized in a completely randomized block design; each treatment was replicated three times. Fertilizer Application The fertilizers used in this study were Urea (46% N), SP36 (36% P2O5), KCl (60% K2O). The N fertilizer was applied at three stages, 40% at planting, 30% at 4 week after planting (WAP), and the rest of 30% at 8 week after planting. Both P and K fertilizers were applied 100% at planting. Measurement and Observation The physical and chemical properties of the soil were analysed prior to and after the experiment. Growth parameters measured are height (cm), number of tillers, leaf area (cm2), canopy dry weight (g), yield and yield components, namely the number of productive tillers, number of grains per panicle, harvest index and grain weight per clump (g). Determination of Optimum Fertilizer Dose The optimum N, P, and K fertilizer doses were determined by calculating the relative yield, which was the value of a variable compared to the maximum value of the variable obtained from each dose, using the following formula of Suminar (2016) : Yi/Ymax x 100% where Yi = the values of the treatment variables N, P, and K- ith Ymax = maximum values of the nutrients N, P, K variables The determination of the recommended options was conducted at the end of the study using a multi- nutrient response approach based on the grain weight per clump variable (Jannah, 2012; Rohmawati, 2013). This approach was used to determine fertilizer recommendations using the quadratic model of several fertilization experiments. The relative results were converted into quadratic equations, then used to determine the selection of recommendations. The maximum fertilizer dose was determined using the quadratic regression model y = ax2 + bx + c with y = relative plant values, x = fertilizer dosage, whereas a, b, c are constant values. The determination of the Table 1. Fertilizer doses of the experiment with N, P, and K fertilizer Fertilizer % Reference doses 0 50 100 150 200 N fertilizer experiment (kg.ha-1) N 0 46 92 138 184 P2O5 36 36 36 36 36 K2O 60 60 60 60 60 P2O5 fertilizer experiment (kg.ha -1) N 92 92 92 92 92 P2O5 0 18 36 54 72 K2O 60 60 60 60 60 K2O fertilizer experiment (kg.ha -1) N 92 92 92 92 92 P2O5 36 36 36 36 36 K2O 0 30 60 90 120 Journal of Tropical Crop Science Vol. 6 No. 3, October 2019 www.j-tropical-crops.com 166 Defiyanto Djami Adi, Iskandar Lubis, Suwarto and Sugiyanta maximum fertilizer dosage was calculated by using the derivative formula of the regression equation: dy/ dx = 2a + xb = -b/2a (Suminar, 2016). Results and Discussion General Condition Based on information from the Meteorology, Climatology and Geophysics Agency (BMKG) Dramaga Climatology Station, Bogor (2018) Sawah Baru experimental site is located on 207 m above the sea level. The highest weekly rainfall during the experiment was 150 mm, air temperature was 25.50- 27°C and humidity was 76-90%. Irrigation was applied according to weather condition (Figure 1). Soil in the experimental site is classified as latosol, containing 9.7% sand, 38.5% dust, 51.8% clay, and categorized as acidic with H2O pH of 5.0 (Table 2). Total of N-content, P, K, C-organic and Ca were classified as moderate, very high, low, low and medium, with medium cation and Mg exchange capacity (Table 2). In general, the level of soil fertility in the experimental land is classified as moderate, therefore additional fertilizer was expected to increase the growth and yield of upland rice “IPB 9G”. The results of soil analysis at the end of this study showed that soil N, P and K increased compared to pre experiment (Table 3). This result showed that fertilizing with N, P, K increased nutrient availability in the soil even though N and P tended to decrease due to the uptake by the crops, or washed by rainwater. In this experiment, availability of soil N and P was classified from low to high, whereas the availability of K was classified as moderate to very high. a. Rainfall b. Temperature c. Humidity Figure 1 Rainfall (a), average temperature (b), and humidity (c). Source: BMKG Dramaga Climatology Station, Bogor   0 20 40 60 80 100 120 140 160 1 3 5 7 9 11 13 15 A m ou nt o f r ai nf al l ( m m ) WAP (Weeks after planting) 70 75 80 85 90 95 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 H un id ili ty (% ) WAP (Weeks after planting) 24,5 25,0 25,5 26,0 26,5 27,0 27,5 1 3 5 7 9 11 13 15 Te m pe ra tu re (° C ) WAP (Weeks after planting) Figure 1. Rainfall (a), average temperature (b), and humidity (c). Source: BMKG Dramaga Climatology Station, Bogor Determination of the Optimum Rates for N, P, and K Fertilizer for Upland Rice .......... Journal of Tropical Crop Science Vol. 6 No. 3, October 2019 www.j-tropical-crops.com 167 Plant Height, Number of Tillers and Leaf Area Increasing of N doses from 0 to 200% from the reference rate linearly increased plant height, but it was not significantly affect the number of tillers and leaf area (Table 4). Since the soil nutrient status was categorized as moderate (0.27%), N supply is still required. Nitrogen is the basic component of chlorophyll and can increase the plants’ photosynthetic capacity, hence plant growth (Anhar et al., 2016). N is also involved in the formation of protoplasm, as a constituent of plant cell structure and cell division (Hernita et al., 2012). Increasing the dose of P from 0 to 200% of the reference rate had positive correlation with development of leaf area. According to Karamanos et al. (2010) leaf area affects light interception during photosynthesis, so greater leaf area will increase photosynthesis, resulting in better plant growth. Increasing the K dose from 0 to 200% of the reference rate increased the leaf area, but did not affect plant height and number of tillers (Table 4). K also plays an important role in water absorption and can improve plant resistance to drought (Karamanos et al., 2010). Water shortages that last for a long time can hamper cell enlargement due to a decrease in the rate of photosynthesis, Table 2. Sawah baru soil analysis prior to the experiment* Soil characteristic Value Status pH 5.0 Acid C-organic (%) 1.77 Low N-total (%) 0.27 Moderate C/N 7 Low P2O5 Bray (ppm) 17.0 Very high KTK 19.21 Moderate Ca (me/100g) 6.94 Moderate Mg (me/100g) 1.62 Moderate K (me/100g) 0.16 Low Na (me/100g) 2.30 Very high Base saturation (%) 57.40 Moderate * Data was obtained from SEAMEO BIOTROP Soil Laboratory Table 3. Sawah baru soil analysis after the experiment* Treatment (%) Nutrients Status N (%) P (ppm) K (ppm) N (%) P (ppm) K (ppm) N0 0.20 8.17 79.21 Low Moderate Very high N50 0.20 9.04 99.01 Low Moderate Very high N100 0.24 11.13 59.41 Moderate High Very high N150 0.23 11.30 84.16 Moderate High Very high N200 0.20 10.78 71.78 Low Moderate Very high P0 0.24 6.96 47.03 Moderate Low High P50 0.17 5.22 39.60 Low Low High P100 0.27 4.87 56.93 Moderate Low High P150 0.29 5.74 37.13 Moderate Low High P200 0.36 6.43 49.50 Moderate Low High K0 0.24 4.35 34.65 Moderate Low Moderate K50 0.26 5.39 44.55 Moderate Low High K100 0.18 9.22 42.08 Low Moderate High K150 0.24 4.87 51.98 Moderate Low High K200 0.20 5.04 44.55 Low Low High *Data was obtained from Laboratory of the Department of Soil Sciences and Land Resources of IPB Journal of Tropical Crop Science Vol. 6 No. 3, October 2019 www.j-tropical-crops.com 168 Defiyanto Djami Adi, Iskandar Lubis, Suwarto and Sugiyanta protein synthesis, and resulted in smaller leaf area (Toha et al., 2002). K is also important for enzyme activation during photosynthesis, and regulating stomata opening and closing (Song and Banyo, 2011). Canopy Biomass Dry Weight Increasing the N dose from 0 to 200% of the reference rate tended to increase dry weight of canopy biomass at the vegetative phase, especially at heading and harvesting time. Bustami et al. (2012) demonstrated that optimum application of fertilization had a good impact on plant growth and dry weight of canopy biomass. Furthermore, increasing of N dose also related to N content in the soil. In this study, soil analysis was categorized as moderate (0.23-0.27%) before and after N application. Sarif et al. (2015) reported that N deficiency decreases plant growth, whereas excessive N causes pollution to the environment. Treatments with P and K fertilizer doses of 0-200% of the reference increased canopy dry weight at the vegetative, primordia, heading and harvesting phases. Soil nutrients availability will support absorption by the plants resulting in a better canopy growth. Anisyah et al. (2014) stated that availability of P in the soil is associated with the application of P fertilizer. K availability supports photosynthesis through photophosphorylation which produces ATP and NADPH (Novizan, 2002), resulting in greater dry weight of plant biomass (Gardner et al., 2017). Yield and Yield Components Increasing N fertilizer doses from 0 to 200% from the reference rate increased the number of productive tillers, harvest index and grain weight per clump, whereas the number of grains per panicle was not significantly affected. Number of tillers in the treatment of 200 kg.N-1 showed the highest value compared to the other N treatments. However, increasing of N dose reduced harvest index; application of N at 200% Table 4. The effects of increasing N, P, K doses from 0 to 200% of the reference rate on plant height at 10 WAP, number of tillers at 8 WAP and leaf area at heading phase Treatment (%) Plant height (cm) Number of tillers (stem) Leaf area (cm2) 10 WAP 8 WAP Heading N0 108.71 12.20 1799.38 N50 114.05 13.33 4786.35 N100 118.46 12.93 3198.66 N150 120.53 15.20 4501.70 N200 124.73 15.13 5585.15 Pr>F 0.0112 0.0853 0.0707 Response patternt L* ns ns P0 127.51 11.30 1724.87 P50 124.72 11.93 2559.52 P100 124.97 11.53 2404.40 P150 124.35 13.00 2212.93 P200 122.15 12.20 2846.69 Pr>F 0.3545 0.4713 0.0064 Response patternt ns ns L** K0 121.89 10.45 1786.23 K50 124.19 11.67 2748.58 K100 125.72 10.67 3224.81 K150 129.15 11.73 2920.28 K200 127.98 10.93 3766.72 Pr>F 0.2399 0.2566 0.0139 Response patternt ns ns L* Note: t: orthogonal polynomial test for fertilizer dosage; L:linear; ns: not significantly different; *: significantly different at α = 0.05; **: significantly different at α=0.01 Determination of the Optimum Rates for N, P, and K Fertilizer for Upland Rice .......... Journal of Tropical Crop Science Vol. 6 No. 3, October 2019 www.j-tropical-crops.com 169 Table 5. The rice dry weight of canopy biomass at the vegetative, primordia, heading and harvesting phase Treatment (%) The dry weight of the canopy biomass (g) Vegetative Primordia Heading Harvest N0 5.34 21.61 35.90 20.35 N50 8.42 24.94 49.82 24.87 N100 10.52 27.97 59.27 28.17 N150 10.28 32.61 66.61 27.59 N200 10.16 27.73 81.84 28.68 Pr>F 0.0717 0.2058 <.0001 0.0395 Response patternt L+ ns L** L* P0 9.92 24.17 49.59 18.05 P50 11.64 27.24 62.44 21.27 P100 13.04 28.69 64.48 20.56 P150 14.77 35.51 68.61 25.03 P200 16.19 36.65 79.16 25.25 Pr>F 0.0070 0.0357 0.0022 0.0045 Response patternt L** L* L** L** K0 8.93 17.38 50.41 22.96 K50 10.18 34.54 59.02 27.16 K100 11.61 31.05 59.68 25.17 K150 11.85 36.99 67.16 28.71 K200 13.50 37.45 86.63 28.25 Pr>F 0.0066 0.0202 <.0001 0.0133 Response patternt L** L* L** L* t: orthogonal polynomial test for fertilizer dosage; L: linear ; ns: not significantly different; *: significantly different at α = 0.05; **: significantly different at α=0.01 of the reference rate produced a low harvest index compared to 100% of the reference. Proportionally, grain weight was lower than canopy dry weight, whereas the harvest index value tended to decrease in line with increasing of total dry weight of plants. N is the main constituent of protein ingredients, and has important roles in chlorophyll formation and photosynthesis processes, resulting in the promotion of plant height, number of tillers, increasing size and grain, improving plant and grain quality, increasing protein content, as well as the amount and the percentage of grain contents (Misbahudi et al., 2017). Manurung and Ismunadji (1988) reported that the range of rice crop index to obtain high yield was ± 0.5. P fertilizer 0 to 200% of the reference rate generally did not affect the number of productive tillers, the number of grain per panicle, harvest index, and grain weight per clump. However, the excessive nutrient levels over plant needs only caused an increasing of P level in the soil and no longer effect on plant growth. Similar with N, optimum level of P correlates positively with P availability in the soil (Fitriatin et al., 2008). Furthermore, Setiawati et al. (2016) reported that phosphate levels in the soil can be increased by fungi; fungi possess phosphatase enzymes which can hydrolize inositol hexaphosphate. Increasing of K doses from 0 to 200% from the reference rate increased grain number per panicle and grain weight per clump and harvest index, but did not affect the number of grain per panicle. K plays an essential role in translocating assimilates from leaves to all plant organs whereas can accelerate photosynthesis (Muslim, 2017). The best timing of potassium absorption on rice plant is tillering which can increase the number of panicles and grain, and in the primordial phase which helping the increment of both weight and yield of grain (Salbiah et al., 2012). Hardjowigeno (2003) stated that potassium is very important in plant physiology processes. Lubis (2018) demonstrated that application of higher concentration of K increased the circumference of Belitung taro (Xanthosoma sagittifolium (L.) stem. Journal of Tropical Crop Science Vol. 6 No. 3, October 2019 www.j-tropical-crops.com 170 Defiyanto Djami Adi, Iskandar Lubis, Suwarto and Sugiyanta Recommendations for N, P and K for Rice “IPB 9G” Fertilizer recommendations were made based on grain weight per upland rice clump of the “IPB 9G”. The yields were converted into relative results so that the three trials could be compared. Fertilization recommendations cannot be determined by a multi- nutrient response approach as the observation characters with quadratic curves are only found in the N and P experiments on the grain weight per clump (Figure 2). Therefore the fertilizer recommendations were determined using the optimum dose range of the growth variables. Based on the quadratic equation of relative results (Figures 2a and 2b) the optimum dose of N was 107.9 kg N.ha-1, and the optimum dose of P was 63.3 kg P2O5.ha -1. The optimum dose of K could not be determined because a negative value of -11.27 kg K2O ha -1 was obtained. The relative yield of “9G IPB” upland rice, which consists of relative value of N, P and K, are described in Figure 2a, 2b and 2c, respectively. The relative yield showed that grain weight per clump was significantly affected by N and P fertilization treatments with quadratic response pattern, whereas the grain weight per clump was affected by K fertilization treatment with linear response pattern. Conclusion The optimum dose of K fertilizer can not be determined from this experiment. The optimum doses of N and P fertilization for upland rice “IPB 9G” in Sawah Baru were 107.09 kg N.ha-1 and 63.3 kg P2O5. ha -1, respectively. Table 5. Yield and Yield Components Treatment (%) Number of productive tillers Number of grain per panicle Harvest index Grain weight per clump (g) N0 9.56 210.03 0.40 49.73 N50 10.44 210.38 0.37 100.72 N100 11.44 215.59 0.41 89.38 N150 11.11 211.51 0.35 83.16 N200 13.89 226.69 0.26 105.06 Pr>F 0.0033 0.5447 0.0062 0.0027 Response patternt L** ns L** L** P0 9.89 202.69 0.41 65.48 P50 12.44 224.69 0.43 93.41 P100 11.44 220.29 0.37 93.13 P150 11.78 245.20 0.42 98.62 P200 12.11 231.69 0.41 88.20 Pr>F 0.1799 0.1625 0.2246 0.1404 Response patternt nsd nsd nsd Nsd K0 11.22 216.54 0.45 93.48 K50 13.00 229.28 0.35 87.69 K100 12.44 232.10 0.43 97.25 K150 12.22 237.35 0.41 104.42 K200 13.22 260.46 0.47 116.86 Pr>F 0.3675 0.0254 0.0186 0.0368 Response patternt ns L* Q* L* t: orthogonal polynomial test for fertilizer dosage; L: linear ; ns: not significantly different; *: significantly different at α = 0.05; **: significantly different at α=0.01 Determination of the Optimum Rates for N, P, and K Fertilizer for Upland Rice .......... Journal of Tropical Crop Science Vol. 6 No. 3, October 2019 www.j-tropical-crops.com 171 a. b. c Figure 2. The relative value of grain weight per experimental group; N (a), P (b), and K (c) Based on the quadratic equation of relative results (Figures 2a and 2b) the optimum dose of N was 107.9 kg N.ha-1, and the optimum dose of P was 63.3 kg P2O5.ha-1. The optimum dose of K could not be determined because a negative value of -11.27 kg K2O ha-1 was obtained. The relative yield of “9G IPB” upland rice, which consists of relative value of N, P and K, are described in Figure 2a, 2b and 2c, respectively. The relative yield showed that grain weight per clump was significantly affected by N and P fertilization treatments with 44.47 91.22 75.69 94.70 58.50 y = -0.0038x2 + 0.8139x + 47.838 R² = 0.7262 0 20 40 60 80 100 120 0 50 100 150 200 R el at iv e va lu e (% ) 100% = 92 kg N per ha 82.28 83.75 87.37 78.00 77.89 y = -0.0005x2 + 0.0633x + 82.454 R² = 0.6137 0 20 40 60 80 100 120 0 50 100 150 200 R el at iv e va lu e (% ) 100 % = 36 kg P2O5 per ha 74.19 80.88 86.36 96.63 116.81 y = 0.0009x2 + 0.0203x + 75.32 R² = 0.988 0 20 40 60 80 100 120 0 50 100 150 200 R el at iv e va lu e (% ) 100% = 60 kg K2O per ha Figure 2. The relative value of grain weight per experimental group; N (a), P (b), and K (c) References Anhar, R., Hayati, E., and Efendi, E. (2016). Pengaruh dosis pupuk urea terhadap pertumbuhan dan produksi plasma nutfah padi lokal asal Aceh. Jurnal Kawista Agroteknologi 1, 30-36. Anisyah, F., Sipayung, R., and Hanum, C. (2014). 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