A study was conducted to estimate soil organic carbon pools and the carbon sequestration of major agroforestry tree species in semiarid region of Telangana during the year, 2022. Major agroforestry tree species studied were eucalyptus, malabar neem, sandal wood, red sanders, teak, subabul, malabar neem + sandal wood, red sanders + sandalwood and barren land. There is an interaction between land use systems and soil depth. Significantly higher organic carbon (6.17 g kg− 1) was recorded in the eucalyptus tree species at 0–20 cm soil depth. Significantly low organic carbon (1.41 g kg− 1) was recorded in barren land at 20–40 cm soil depth. Significantly higher values of soil organic carbon pools viz., very labile (3.64 g kg− 1), labile (2.56 g kg− 1), less labile (2.11 g kg− 1) and nonlabile (2.06 g kg− 1), total organic carbon (10.37 g kg− 1) were recorded under eucalyptus tree species at 0–20 cm. Significantly low soil organic carbon pools viz., very labile (1.10 g kg− 1), labile (0.51 g kg− 1), less labile (0.66 g kg− 1), nonlabile (0.88 g kg− 1), total organic carbon (3.15g kg− 1) were recorded under barren land at 20–40 cm soil depth. Carbon sequestration of eucalyptus tree species ranged from 15 to 821 kg tree− 1(5–15 years), teak ranged from 11 to 704 kg tree− 1 (5–20 years), malabar neem ranged from 118–392 kg tree− 1 (5–8 years), sandalwood ranged from 33–164 kg tree− 1 (5–8 years), red sanders ranged from 17–611 kg tree− 1 (5–10 years), subabul ranged from 11–591 kg tree− 1 (5–10 years). There was significant and positive correlation between soil organic carbon and organic carbon pool and carbon sequestration. Amount of carbon sequestered by all these tree species was positively correlated with organic carbon of their respective soils (r = 0.408). This study reported the rate of carbon sequestration by these tree species and their importance in raising them in barren lands and as border plantations.

Aim: An incubation experiment was conducted, which aimed to investigate NH4+ and NO3- release pattern and GHG emissions as influenced by paddy residue decomposition over 120 days. Study Design: Completely randomized block design. Place and Duration of Study: The study was conducted at Agrometerology laboratory, CRIDA, Hyderabad. The experiment was conducted between 2021-22. Methodology: Sampling was performed at 2, 4, 6, 8, 10, 20, 30, 45, 60, 75, 90, 105 and 120 days after incubation (DAI). The treatments included control (T1), soil + N (T2), paddy residue + 100% RDN (Recommended dose of Nitrogen) - 33:33:33 (T3), paddy residue + 100% RDN - 43:23:33 (T4), paddy residue + 100% RDN - 43:33:23 (T5), paddy residue + 10% extra RDN - 43:23:33 (T6). Fertilizer N was applied in three splits (first at initiation of experiment, second and third at 30 and 60 DAI respectively). RDN used in the study was 240 kg ha-1 (i.e., maize). Results: Residue incorporation along with inorganic fertilizer significantly influenced NH4+ - N and NO3- - N, as well as GHG emissions. After addition of each split, there was an increase in NH4+ - N and NO3- - N contents. Significantly higher NH4+ - N and NO3- - N was recorded in T6, compared to other treatments. The cumulative CO2 and N2O emissions were significantly higher in paddy residue + 10 % extra RDN – 43:23:33 i.e., 296.63 µg C g-1 of soil and 1.81 µg N g-1 of soil respectively, while lowest (42.59 µg C g-1 of soil and 0.09 µg N g-1 of soil respectively) was observed in control.

A fixed field plot experiment was carried out for two consecutive rabi seasons of 2022-23 and 2023-24 at Agriculture Research Station, Tornala, Telangana, India to evaluate various rice residue management options on the performance and economics of sunflower grown after dry direct sown rice. Plant height and dry matter production at different growth stages and yield attributes and yield per hectare were consistently and significantly superior in the treatments where incorporation of rice straw was done 15 days prior to planting duly adjusting C: N and C: N: P ratio of straw by adding part of recommended nitrogen and phosphorus, and both of which were on par with each other. The performance of zero till sunflower along with straw retention and application recommended doses of fertilizers after dry direct sown rice was also on par with the C: N and C: N: P adjusted straw incorporation treatments during the second year of study. Mean seed and stalk yield, harvest index, net returns and B: C ratio were superior with incorporation of C: N: P and C: N ratio adjusted straw treatments and zero till sunflower treatments when compared to straw burning, straw incorporation as such, straw removal and incorporation of C: P ratio adjusted straw treatments.

Enhancing nutrient use efficiency (NUE) and water use efficiency (WUE) are most critical and turn daunting research issues.A number of approaches are to be used in order to enhance water and nutrient use efficiency by reducing losses and to minimize the detrimental effect of water and nutrient stress in crop plants.This can be achieved through adoption of efficient methods of irrigation and fertilizer application.Field experiments were carried in College of Agriculture, PJTSAU, Hyderabad, to determine the impact of drip irrigation and , fertigation levels on the growth, yield and output of sweetcorn under high density planting during consecutive summer seasons of 2020 and 2021 respectively.Twelve treatment combinations (three levels of irrigation and four levels of fertigation through drip) with factorial concept.The results revealed that based on mean of two years, among irrigation levels, 1.0 Epan registered considerably higher growth parameters (plant height, leaf area and dry matter production), yield attributes (no. of cobs plant , cob length, no. of kernels, cob weight, cob girth) and -1 yield over 0.8 and 0.6 E pan.Among the fertigation levels, 125% RDNK in differential dosage (225-75-62.5 kg N, P O , K O ha ) in accordance

A field experiment was conducted at College Farm, Agricultural College, Rajendranagar, Hyderabad, during kharif 2019-20 and 2020-21 to study the effect of genotypes and integrated nutrient management practices on growth of HDPS cotton. Experiment was laid out in Split plot design, with two genotypes as main plots (M) and nine Integrated Nutrient Management practices as sub-plots (S). Among genotypes, Leaf Area Index (LAI), Absolute Growth Rate (AGR), Relative Growth Rate (RGR), Net Assimilation Rate (NAR) were recorded with Bt (KCH-14 K59 BG II) compared to Non-Bt (ADB-542) during kharif 2019-20 and 2020-21. Among integrated nutrient management treatments, significantly higher LAI, AGR, RGR, NAR were observed with 100% RDF + soil application Jeevamrutha @ 500 L ha-1 at 15 days interval up to harvest (S5) during both years and which was comparable with 100 % RDF + Foliar spray of Jeevamrutha @ 5% at 15 days interval up to harvest (S7) and 100 % RDF (S3), respectively. Finally, Bt cotton had recorded LAI, AGR, RGR, NAR than non Bt. Among integrated nutrient management practices, S5 had recorded maximum LAI, AGR, RGR, NAR.

A study was conducted to assess the influence of various agroforestry systems on soil physicochemical and chemical parameters in the erstwhile Warangal district, Telangana during the year, 2022. Soil samples were collected from 0-20 cm and 20-40 cm depths of different agroforestry land use systems (Eucalyptus, Malabar neem, Sandal wood, Red sanders, Teak, Subabul, Mango + Teak (border plantation), Malabar neem + Sandalwood, Red sanders + Sandalwood plantations) and barren land. The statistical analysis of the data revealed that the soil organic carbon and available nutrients were significantly higher in the surface soil depth (0-20 cm) than in the lower depth (20-40 cm) irrespective of agroforestry systems. Organic carbon and available nutrients were significantly more under all the agroforestry systems compared to barren land in two depths. There is significant interaction between the land use systems and soil depth. Significantly higher OC (5.12 g kg -1), CEC (18.3 c mol p+ kg-1) available N (198 kg ha-1) and available P2O5 (69 kg ha-1) were recorded at 0-20cm depth in eucalyptus plantation and significantly high K2O (530 kg ha-1) was recorded in the teak plantation. Soil organic carbon significantly and positively correlated with cation exchange capacity (r = 0.839**), available N (r = 0.900 **), available P2O5 (r = 0.408**) and available K2O (r = 0.521**) in all the agroforestry land use systems. Therefore, from this study it was reported that raising tree species in barren lands and also as border plantations improves soil fertility through the addition of leaf litter.

Afield experiment was conducted at College of Agriculture, Rajendranagar, Hyderabad in kharif 2011 to study effect of Pendimethalin and Imazethapyr on nodulation, nitrogen fixation and nitrogenase activity in groundnut. Results indicated that Seed treatment with Rhizobium in groundnut significantly influence the total nodule number up to 45 DAS and active nodules throughout the crop growth period. Application of Pendimethalin doses did not adversely affect the number of total nodules or active nodule count. But, application of Imazethapyr at double dosage resulted in significantly lower total nodule and active nodule up to 45 DAS. Nitrogenase activity in groundnut increased up to 60 DAS and thereafter decreased gradually. Imazethapyr double dose adversely affected the nitrogenase activity up to 45 DAS which later on recovered from 60 DAS. Despite better weed control achieved in Imazethapyr double dose treatment, highest pod yield was recorded in Imazethapyr at recommended dose where seed inoculation was done compared to Imazethapyr double dose.

In the present study a comprehensive field survey was undertaken to evaluate the levels of soil macro nutrients in the arable lands of Rangareddy district, situated in the Southern Telangana region. A total of 179 surface soil samples (0–15 cm depth) were collected from the cultivable soils in parts of Rangareddy district, considering topography and soil types. This collection was accomplished using a stratified random sampling approach, conducted after the kharif season and prior to the commencement of the rabi season. The collected soil samples were analysed for soil Available Nitrogen (Avl. N) (Kg ha-1), Available Phosphorus (Avl. P) (Kg ha-1) and Available Potassium (Avl. K) (Kg ha-1) using standard protocols. The prevalent soil types in the study area predominantly consist of clay, clayey loam, and gravelly clay. The concentrations of Avl. N, Avl. P, and Avl. K exhibited a range of 13.86 to 501.73 Kg ha-1, 1.13 to 127.58 Kg ha-1, and 69.88 to 896.0 Kg ha-1, respectively. The outcomes pertaining to different crop varieties indicated that the highest content of Avl. N was observed in plantation crops, while the maximum Avl. P and Avl. K were recorded in agricultural soils. Conversely, the least Avl. N was noted in agricultural crop types, and the lowest Avl. P and Avl. K were registered in plantation crop types. Regarding soil categorizations, clay soils demonstrated the highest levels of Avl. NPK, whereas gravelly soils exhibited the lowest Avl. N content, and clayey loam soils displayed the lowest levels of Avl. P and Avl. K.

Soil salinization is one of the major land degradation processes spread over millions of hectares of global land. Hyperspectral Remote Sensing (HRS) coupled with modern data mining approaches help in real-time and cost-effective assessment or monitoring of salt-affected soils. This study aimed at predicting soil salinity across five sites in India using the Airborne Visible-Infrared Imaging Spectrometer - Next Generation (AVIRIS-NG) data in low to moderately salt-affected cropland soils. We have identified four unique spectral absorption features having sensitivity towards soil salinity through a hybrid feature selection algorithm. Soil electrical conductivity (EC) was estimated using different machine learning (ML) based models such as random forest (RF), gradient boosting machines (GBM), and deep learning (DL). An ensemble of RF and DL models showed the best performance with the coefficient of determination (R2) of 0.89 and 0.55 and normalized root-mean-squared error of 0.15 and 0.16 in training and test datasets, respectively. We also proposed a new hyperspectral soil salinity index using Shannon entropy-based aggregation of selected absorption features. The newly proposed index outperformed other majorly used remote sensing-based salinity indices. It also showed a strong correlation with measured EC (r = 0.68) and ML-predicted soil EC (r = 0.78), both being significant at 1% level of significance. The index was effective in classifying HRS images into six distinct salinity classes. We also assessed the feasibility of applying the proposed salinity index for future hyperspectral missions through the simulation of various spectral-spatial resampling scenarios and estimated the optimal spectral and spatial resolution for salinity prediction. The hyperspectral salinity index can be directly estimated from HRS data without the need for time-consuming and expensive field samplings and used as a proxy to evaluate soil salinity status under field conditions.

Aim: To evaluate the efficacy of different soil amendments on plant growth parameters and economics in maize (Zea mays L). Place and Duration of Study: Maize variety 900-M-GOLD was cultivated during rabi 2014-15 at College Farm, College of Agriculture, Rajendranagar, PJTSAU, Hyderabad, Telangana state, India. Methodology: The Experiment was laid out in Randomized Complete Block Design (RCBD) with 6 treatments replicated four times. Treatments consist of T1- vermicompost @ 5 t ha-1 ,T2-FYM @ 10 t ha-1 , T3-tanksilt @ 50 t ha-1 , T4- biochar @10 t ha-1 ,T5- control (without any fertilizer),T6- RDF (NPK-200, 60, 50 kg ha-1). Recommended Dose of Fertilizers was commonly applied from treatment T1 to T4. Results: There were no significant difference in plant population with the application of all the treatments. At harvest, significantly higher leaf area index recorded with application of tanksilt (1.67) which was on par with vermicompost (1.66), biochar (1.65), FYM (1.65), RDF (1.51) and significantly higher than control (0.80). Maximum gross returns (INR 1,31,283 ha–1), net returns (INR 85,533 ha–1) and BC ratio (2.87) were recorded with the application of tanksilt and minimum gross returns (INR 51,431 ha–1), net returns (INR 24,781 ha–1) and BC ratio (1.93) were recorded in the control. Conclusion: It was determined that growth parameter viz., leaf area, leaf area index recorded significantly higher with tanksilt application which is on par with the application of vermicompost, biochar, FYM. Maximum gross returns (INR 131283 ha–1), net returns (INR 85533 ha–1) and BC ratio (2.87) were recorded with the application of tanksilt.

A study was conducted to identify suitable spectral bands related to soil properties of major soils of Telangana using hyperspectral data. A total of 200 surface soil samples were collected from district of Sangareddy (20 soil samples), Yadadri Bhuvangiri (20 soil samples), Nizamabad (20 soil samples), Adilabad (20 soil samples), Jayashankar Bhupalpally (60 soil samples), Nagar Kurnool (20 soil samples) and Nalgonda (40 soil samples) analyzed for soil properties viz., pH, electric conductivity (EC), organic carbon, total nitrogen, total phosphorus, total potassium, soil texture (percent clay). Soil spectral data (350-2500 nm) was measured using ASD spectroradiometer and correlated with soil properties using Pearson correlation test. Result shows that the soil properties like pH, OC, total N, total K , total Mn, % Clay showed significant negative correlation at 1210-1280 nm (r= -0.345**) for Ph, 610-630 nm (r= -0.415**) for OC, 390-410 nm (r= -0.180*, 0.183*, 0.175*, 0.170*) for total N, 360-390 nm (r= -0.174**,-0.158**,-0.163**,0.160**) for total K , 590-610 nm (r= -0.527** and -0.526**) for clay %.However significant positive correlation was observed with ECand 1110-1130 nm (r= 0.150* and 0.149*). These sensitive bands for soil parameters can be further used for prediction of soil properties.

The rice - maize cropping system is one of the predominant cropping systems in Telangana state, which also produces large quantities of residues, whose disposal is a major problem. A large quantity of paddy straw is burnt on the farm to clear the field for succeeding crop. On the farm, a significant amount of paddy straw is burned to prepare the land for a subsequent crop. Burning crop residue damages the air and results in the loss of a significant amount of biomass plant nutrients and the entire amount of carbon. The purpose of the study was to investigate the impact of paddy straw burning on soil biological properties (enzyme activities, microbial population) and to know the amount of green house gas (GHG) emissions released due to burning of residue, under two tillage systems viz., no tillage and conventional tillage. Results indicated that there was a significant decrease in soil microbial population, dehydrogenase activity (41.52% in NT and 40.07% in CT), acid and alkaline phosphatase activity and urease activity in soil due to residue burning. It also indicated that there was a rise in CO2, CH4 and N2O emissions 48 hours after residue burning. It can be concluded that crop residue burning leads to decrease in the enzyme activities and soil microbial population. It also leads to rise in green house gas emissions. The impact of rice straw burning on different microbial genera has to be further studied by researchers.

The field experiments were conducted during kharif seasons (July–November) 2018 to determine the physiological, yield parameters and yield of super early pigeonpea under different sowing windows and with integrated nutrient management practices at Regional Agricultural Research Station, Palem, Telangana, India situated at 16˚ 51’ N Latitude and 78º25’ E Longitude with an average Altitude of 478 m above the mean sea level of Southern Telangana Zone of Telangana State, India. The experiment was laid out in strip plot design for pigeonpea with 3 main treatments i.e., (M1)1st July, (M2)20th July and (M3) 10th August sowings and four integrated nutrient management practices as sub treatments viz.S1: 75% RDF, S2:75% RDF+FYM enriched with microbial consortia (1 t ha-1), S3:100% RDFand S4:100% RDF+FYM enriched with microbial consortia (1 t ha-1) and replicated thrice. The findings of two years of field study revealed that, among the three sowing dates in main treatments, 1st July (M1) recorded a greater number of days to 50% flowering and 75% pod maturity of SEPP. Similar trend in the CGR, RGR, yield parameters and yield except 1000 seed weight of SEPP was noticed superior with 10th August sowing (M3) compared to other two sowing dates viz. July 1st and July 20th. The sub treatment containing INM practices revealed higher values of physiological, yield parameters and yield with application 100% RDF+FYM enriched with microbial consortia @ 1 t ha-1 (S4) compared to other INM practices.

A field study was conducted on clay loam soil at college farm, College of Agriculture, Rajendranagar, Hyderabad, Telangana, India During Rabi 2015-16 and Rabi 2016-17, to investigate the effect of water management strategies and nitrogen sources on rice N-mineralization patterns. The experiment was laid out in a split plot design under two types of water management practices i.e., Continuous flooding (CF) and alternate wetting and drying (AWD) as main treatments with five treatments viz., T1- N0:P2O5 @ 60 kg ha-1: K2O @ 60 kg ha-1 (Control); T2- Nitrogen @ 120 kg ha-1 (Prilled Urea): P2O5 @ 60 kg ha-1: K2O @ 60 kg ha-1 T3- Soil test based Nitrogen fertiliser application (STCR); T4- Nitrogen @ 60 kg ha-1 + 60 kg ha-1 through green manure and T5- Nitrification inhibitor Coated Urea as sub plot treatments. The MTU-1010 variety was grown with the recommended management practices. Continuous flooding plots were kept at a 5cm water level at all times, while alternate wetting and drying plots were irrigated when a hairline fissure emerged on the soil surface. Significantly NH4+-N content increases with time and peaked at 15 DAT under continuous flooding as well as alternate wetting and drying (27.12 mg kg-1 and 28.28 mg kg-1). Green manure treatment resulted in faster NH4+ -N release and accumulation, in the order of Green manure > PU > STCR > coated urea > control treatments. In comparison to STCR and green manure, NO3--N release was low in coated urea, followed by prilled urea. Alternate wetting and drying resulted in 29 per cent greater AE than continuously flooded rice. The treatment which receives nitrogen through STCR (21.30 kg grain yield per kg N applied and 23.94 kg grain yield per kg N applied) followed by nitrification inhibitor coated urea treatment had the highest AE.

A Greenhouse experiment was conducted on loamy sand soils of Agricultural College, Rajendranagar, Hyderabad during rabi 2021-2022 to find out the influence of crop residues in addition to decomposition enhancers on soil nitrogen transformation and available macronutrients status during growth of maize. The crop residues were incorporated in soil during sowing of maize either alone or in combination with decomposition enhanceres (microbial consortia and single super phosphate). The nitrogen transformation and macronutrients assayed at different intervals of maize were significantly increased by the application of crop residue along with microbial consortia. At 30 DAI, 60 DAI and 90 DAI among the treatments, the highest ammonical and nitrate nitrogen and macronutrient status of were recorded with T9 (T5 + as Microbial consortium @ 1.5%) and it was on par with the treatment T13 (T5 + as Single Super Phosphate @5%). At 120 DAI among the treatments highest ammonical and nitrate nitrogen and macronutrient status of were recorded with T8 (T4+ as Microbial consortium @ 1.5%,) and it was on par with the T6 (T2+ as Microbial consortium @ 1.5 %). At all intervals the lowest ammonical and nitrate nitrogen and macronutrient status were recorded in control (T1). Incorporation of crop residues along with microbial consortium before sowing has significant effect on growth and yield of maize when compared to residue alone.

The study was carried out to know the soil fertility status of Nagarjuna Sagar Left Bank Command area, of Nalgonda district, Telangana by using GPS-GIS technology during the year 2020-2021. The pH of soils of Nagarjuna Sagar Left Bank Command area varied from 6.21 to 9.62, most of the soils were found to be moderately alkaline to very alkaline (78.23%) while EC varied from 0.17 to 4.33dS m-1, most soils were found to be high saline to very high saline (97.54 %) in salinity. Organic carbon content varied from 0.15 to 1.16% and categorized as low (30.4%), medium (66.6%) and high (3.0%). The soil available nitrogen, phosphorus and potassium in study area varied between 100.0 to 450.0, 10.3 to 71.2 and 25.5 to 1115.9 kg ha-1, respectively. The soils were low (50.1%) and medium (49.9%) in available nitrogen, with respect to available phosphorus low (0.1%), medium (87.2%) and high (12.7%). In case of available potassium low (0.2%), medium (21.7%) and high (78.1%). The exchangeable calcium and magnesium ranged from 6.2 to 16.2 and 3.2 to 9.8 cmol (p+) kg-1, respectively. The available sulphur varied from 0.32 to 29.9 mg kg-1. The soils were low (0.5%), medium (67.1%) and high (32.4%) in available sulphur content. The soils were sufficient (100.0%) in exchangeable calcium and magnesium, respectively. Available Zn, Cu, Fe and Mn were deficient in 97.49%, 94.95%, 99.63% and 99.01% soil samples respectively.

An experiment was conducted to study the effect of different drip irrigation and fertigation levels on yield and economics of high-density cotton at College of Agriculture, Professor Jayashankar Telangana State Agricultural University, Hyderabad, during kharif 2019 and 2020. The experiment consisted of twelve treatments laid out in Factorial randomised block design (FRBD) replicated thrice. Three irrigation levels (irrigation scheduled at 0.6 [I1], 0.8 [I2] and 1.0 [I3] Epan throughout the crop growth period) and four fertigation levels (application of 100% RDNK in differential dosage as per recommendation [F1], application of 100% RDNK in differential dosage as per crop coefficient curve [F2], application of 125% RDNK in differential dosage as per recommendation [F3], and application of 125% RDNK in differential dosage as per crop coefficient curve [F4],) were included as treatments in this study. Irrigation levels did not show any significant influence on yield and economics during 2020 and 2021. While among the four fertigation levels, application of 125% RDNK in differential dosage as per crop coefficient curve (F4) recorded significantly higher gross returns, net returns and B:C ratio which were on par with application of 125% RDNK in differential dosage as per recommendation (F3). Lower gross returns, net returns and B:C ratio were obtained with the application of 100% RDNK in differential dosage as per recommendation (F1) which were on par with application of 100% RDNK in differential dosage as per crop coefficient curve during both the seasons (F2). Further the gross returns and net returns produced under F3 was also on par with F2.

A field experiment was conducted during kharif and rabi seasons of 2011-12 and 2012-13 at Indian Institute of Rice Research, Hyderabad to study the performance of different crop establishment methods under different nutrient management practices. The treatment consisted of four establishment methods i.e., system of rice intensification (SRI), modified drumseeder (25X25cm spacing), normal drumseeder and normal transplanting in mainplots and four nutrient management practices i.e., 100% RDN (recommended dose of nitrogen) through inorganic, 75% RDN through inorganic+ 25% RDN through organic, 50% RDN through inorganic + 50% RDN through organic and 100% RDN through organic in sub plots. Experimental results revealed that SRI recorded significantly higher water productivity (kg ha mm-1) as compared to other establishment methods during all the seasons of experiment. SRI registered significantly higher crop growth rate between 45-75 DAS over other establishment practices, between 45-75 DAT, 75-105 DAT and 105 DAT-harvest, the CGR was on par among planting methods during both the years of study. In respect of root dry weight (g hill-1) at 60 DAS and 90 DAS SRI and modified drum seeder was on par to each other and was superior to normal drum seeder and normal transplanting. Significant increase in grain and straw yield was observed with SRI followed by modified drum seeder, normal drumseeder and normal transplanting. Under different nutrient management practices 50% inorganic + 50% organic treatment registered higher water productivity, crop growth rate, root dry weight, grain and straw yield as compared to all other nutrient management practices during all the seasons of data.

Aim: Study was conducted to compare and to identify the best combination of rice crop establishment method and nutrient management in terms of crop growth, development and yield. Study Design: Experiment was laid out in splitplot design. Place and Duration of Study: The field experiments were conducted at the research farm of Indian Institute of Rice Research, Hyderabad, Telangana State, India during the kharifand rabiseasons of 2011-12 and 2012-13. Methodology: The treatments consisted of four establishment methods (System of rice intensification (SRI), modified drum seeder, normal drum seeder and normal transplanting) as main plot treatments and four nutrient management practices (100% recommended dosage of nitrogen (RDN) through inorganic, 75% RDN through inorganic+ 25% RDN through organic, 50% RDN through inorganic+50% RDN through organic and 100% RDN through organic) as sub plot treatments with 16 treatment combinations and three replications. The semi dwarf, high yielding Sampada variety was raised during the study period. Results: Growth parameters like plant height, leaf area index (LAI), dry matter accumulation, number of tillers per square meter were observed at 45,75,105 days after transplanting and at harvest stages. The two years experimental results and the pooled mean data revealed that SRI recorded significantly superior growth parameters at all the crop growth stages followed by modified drum seeder. In respect of subplots 50% RDN through inorganic+50% RDN through organic resulted in superior growth parameters and yield. Conclusions:The combination of SRI with nutrient management practice 50% nitrogen through urea and 50% nitrogen through vermiconpost resulted in greater growth parameters and grain yield.