Prediction of Post-harvest Soil Test Values and Fertilizer Calibrations for a Maize Based Cropping Sequence under Integrated Plant Nutrition System

2019 ◽  
Vol 106 (1-3) ◽  
Author(s):  
R. Suresh ◽  
R. Santhi
2021 ◽  
Vol 13 (4) ◽  
pp. 1545-1551
Author(s):  
R. Selvam ◽  
R. Santhi ◽  
S. Maragatham ◽  
C.N. Chandrasekhar ◽  
Patil Santosh Ganapathi

The soil test value is based on the soil test-based fertilizer prescription/ recommendation equation. Each crop harvesting after the next crop is necessary to analyze the soil. Therefore, it is necessary to develop an alternative technique to predict postharvest soil tests after the harvest of every crop. For that a study was conducted in mixed black calcareous soils at Tamil Nadu agricultural University, Coimbatore to develop the post-harvest prediction equations for available nitrogen, phosphorus and potassium in barnyard millet cropping sequence based on a multiple regression model by considering post-harvest soil test value as the dependent variable and initial available nutrients, fertilizer doses and crop yield or crop nutrient uptake as an independent variables. The developed model was validated by computing R2 value, RMSE (root means square error), RE (relative error), and the ratio of performance to deviation (RPD) and the developed model was found to be valid.  Using the validated model, post-harvest soil test values were predicted. A fertilizer recommendation was made for blackgram based on predicted post-harvest soil test values in the barnyard millet-blackgram cropping sequence. The predicted soil test values were compared with actual soil test values and it revealed that the developed model is fairly accurate and best-fitted with more precision. The predicted post-harvest soil test values of barnyard millet could be used in order to prescribe fertilizer for desired yield targets for subsequent crops.


2015 ◽  
Vol 49 (5) ◽  
Author(s):  
Sabina Ahmed ◽  
A. Basumatary ◽  
K. N. Das ◽  
B. K. Medhi

Soil Test Crop Response (STCR) study was conducted during 2010-11 for autumn rice under integrated plant nutrition system (IPNS) in Inceptisols (Aeric Endoaquepts) in Jorhat district of Assam. The basic parameters were computed from the STCR data, and the fertilizer prescription equations were developed for recommending fertilizer doses in autumn rice. The nutrient requirement (NR) for producing one quintal of autumn rice was found to be 2.40 kg, 0.84 kg and 2.25 kg of N, P<sub>2</sub>O<sub>5</sub> and K<sub>2</sub>O, respectively. The percent contribution of nutrients from soil (CS), fertilizer (CF) and FYM (CO) were calculated as 12.49, 45.31 and 32.92 for N, 13.42, 28.52 and 11.84 for P<sub>2</sub>O<sub>5</sub> and 21.99, 47.58 and 29.76 for K<sub>2</sub>O, respectively. These equations were validated in farmers’ fields during 2012 and the variation between actual yield and targeted yield ranged from +1.36 to +5.33.The fertilizer estimates under STCR-IPNS for 3000 and 4000 kg ha<sup>−1</sup> targeted yield recorded maximum response ratio and economic benefit in the field trial and confirmed the validity of proposed fertilizer prescription equations for autumn rice.


Author(s):  
U Bagavathi Ammal ◽  
K Coumaravel ◽  
R Sankar ◽  
Pradip Dey

To develop fertilizer prescription equations based on soil test crop response (STCR) approach for rice-rice cropping sequence, trials were conducted at farmer’s field in Karikalampakkam village, U.T. of Puducherry, during 2015-16. Soil test data, yield and nutrient uptake by successive crops were recorded to calculate four basic parameters viz. nutrient required to produce one quintal of rice, contribution of nutrients from fertilizers, contribution of nutrients from soil and contribution of nutrients from FYM used in developing STCR based fertilizer prescription equations. The per cent nutrient contribution of nutrients from soil (CS), fertilizer ( CF) and FYM (CFYM) were found to be 19.15, 45.90 and 23.27 for N, 12.13,40.16 and 26.98 for P2O5 and 13.76, 79.64 and 41.07 for K2O respectively for rice cv. White ponni. The same for the rice cv.ADT 45 were 13.48, 40.46 and 34.26 for N, 15.81, 44.64 and 19.89 for P2O5 and 10.48, 58.64 and 41.51 for K2O respectively. Based on fertilizer prescription equations and nomograms formulated for a range of soil test values and desired yield target for the cropping sequence. It was revealed that under the treatment NPK + FYM @ 12.5 t ha- 1 , 47, 29 and 34 kg ha- 1 for rice cv.White ponni and 41 , 22 and 27 kg ha- 1 for rice cv.ADT 45 of fertilizer N , P2O5 and K2O, respectively could be saved for attaining target yield of 70 q ha- 1 compared to NPK fertilizers alone.


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