Experimental site
The present experiment was carried out during
Kuruvai (July-November) 2022 at Wetland farm, Department of Agronomy, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India. (11 N latitude and 77°E longitude, 426.7 m above mean sea level). The region is located the Semi-Arid Tropics and belongs to the Western Agro-climatic zone of Tamil Nadu.
Experimental design
The present study was carried out using a Randomized Complete Block Design (RCBD) in which the rice cultivation methods were evaluated. Five treatments
viz., T
1- 100 % Saturation, T
2- 150 % Saturation T
3- 200 % Saturation, T
4- SRI, T
5- Conventional method were selected for this study. Each treatment was replicated four times. Treatments T
1, T
2, T
3 involved the aerobic method with drip irrigation. T
1 was irrigated automatically based on the soil moisture sensor and then irrigation duration was calculated. Based on T
1 duration, T
2 and T
3 were irrigated 1.5x times and 2x times, respectively. T
4 was irrigated based on alternate wetting and drying and continuous flooding was done in conventional method (T
5).
Crop management
The rice variety CO 53 was used in this study. For the aerobic method dry seeds (75 kg ha
-1) were sown by hand dibbling at 3-cm depth with a spacing of 22.5 cm × 15 cm in a unpuddled condition. Fourteen days old seedlings were transplanted (one seedling hill
-1) in puddled field at 25 × 25 cm spacing in SRI. In the conventional method, transplanting (two to three seedling hill
-1) was done in a well puddled field on 22 DAS with a spacing of 20 × 10 cm. Pendimethalin at 1.0 kg
a.i. ha
-1 was applied as pre-emergence on 3 DAS followed by an early post emergence application of bispyribac sodium 25 g
a.i. ha
-1 on 25 DAS. Later, one hand weeding was done on 40 DAS in the aerobic method. For SRI and conventional method, pretilachor @ 1.0 kg
a.i. ha
-1 was applied as pre-emergence. Later,
cono weeding was done at 10 days intervals,
i.e., 25, 35 and 45 DAT in both directions in SRI. For conventional method, one hand weeding was done at 35 DAT. Recommended dose of fertilizer (150 :50: 50 kg N,P,K ha
1) was applied as per the TNAU crop production guide. Irrigation was applied through drip as per the treatments based on the soil moisture sensor. In SRI, irrigation was provided at 2.5 cm height and allowed for 2-3 days and the next irrigation was given immediately when hairline cracks developed. In conventional method, irrigation was given at 2.5 cm height and stagnated in the entire field up to 10 days before harvest. The recommended agronomic practices and standard plant protection techniques were followed in all the treatments. Harvesting was done after the crop attained physiological maturity.
Observations
Soil enzymes activity analysis
Soil samples were collected at active tillering and flowering stage of rice. Soil dehydrogenase activity was estimated by spectrophotometer at 485 nm (
Casida et al., 1964) and alkaline phosphatase activity was estimated by spectrophotometer at 420 nm (
Tabatabai and Bremner, 1969).
Nutrient uptake
Uptake of N, P and K were estimated in plants at harvest stage of the rice crop. The samples were dried at 70°C was recorded as dry weight. The samples were then ground to pass through a 250-meshsieve. Estimation of total nitrogen is done by Kjedahl distillation (
Jackson, 1967), total phosphorous by Spectrophotometer (
Jackson, 1967), total potassium by Flame photometery (
Jackson, 1967). The uptake of N, P and K was measured by multiplying the concentration of each nutrient by the dry weight expressed in kg ha
-1.
Partial Factor Productivity (PFF)
Partial factor productivity is the ratio to the grain yield and amount of nutrient applied and it was calculated by following equation:
Data analysis
Analysis of variance (ANOVA) was evaluated using SPSS 16.0 software and Fisher’s Least Significant Difference at a significance of P≤0.05 was used to compare the difference between means. Pearson correlation was used to measure the relationship between yield with various physiological parameters by using SPSS 16.0 software.