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Calibration and validation of soybean cultivar JS97-52 for predicting yield using CROPGRO model in vertisol

KrishiKosh

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Title Calibration and validation of soybean cultivar JS97-52 for predicting yield using CROPGRO model in vertisol
 
Creator Mehra, Vinod Kumar
 
Contributor Bhan, Manish
 
Subject null
 
Description ABSTRACT
The present investigation entitled “Calibration and Validation of Soybean Cultivar JS 97-52 for Predicting Yield using CROPGRO Model in Vertisol” was conducted during the Kharif season of the year 2015-16 at research farm, Department of Physics and Agro-meteorology, College of Agricultural Engineering, JNKVV, Jabalpur (M.P.). The total 989.20 mm rainfall was received during experimental period. During crop season, minimum and maximum temperatures observed 17.90 C and 37.80 C respectively. The soil of experimental field was sandy clay loam in texture and neutral in reaction with low electrical conductivity and medium in available N, P, K, and organic carbon.
The growth parameters like plant height (cm), branches per plant and dry weight per plant (g) decreased at medium to late sown dates than early sown dates. The physiological parameter as leaf area index decreases with 07th July and 24th July sown dates. The aforesaid characters were significantly superior under 19th June sown date over 07th July and 24th July sown dates. Various yield attributing characters like number of pods per plant, number of seeds per pod and 100-Seed weight (g) were significantly higher in 1st sown date (19th June) while lowest in 3rd sown date (24th July) resulted in lowered values of yield attributing characters. The seed and biological yield was maximum (1408.67 kg/ha and 3527.83 kg/ha) under 19th June sown date and it proved significantly superior over 07th July and 24th July sown crop which produced 1218.61 kg/ha and 3294.63 kg/ha and 910.37 kg/ha and 2950.10 kg/ha seed and biological yield, respectively. As regards, soybean cultivar seed and biological yield was maximum in JS 97-52 cultivar under 19th June sown date and it proved significantly superior over 07th July and 24th July sown dates, while minimum seed and biological yield was found in JS 95-60 cultivar. Hence, JS 97-52 variety proves beneficial if planted early from 2nd to 3rd week of June under normal moisture conditions.
The CROPGRO-Soybean model (Ver. 4.6) was used to simulate the growth, development and yield of soybean crop sown on different dates. The model successfully predicted growth, phenology and yield of crop with least error values. The genetic coefficients was generated and calibrated for soybean cultivar JS 97-52 with good RMSE and D-value for phenology, Biomass, seed yield and Harvest Index for model performance. The model was validated with the last six years data for anthesis day, harvest maturity day, grain yield, biological yield and harvest index of soybean cultivar JS 97-52. Comparing observed with simulated results showed fewer relative deviation at harvest maturity day and seed yield, while deviation was high at anthesis day, total biomass and harvest index. Poor management practices coupled with lacking of management details of weed infestation, insect-pest and disease outbreak may be the reason for this deviation.
Among sensitivity analysis, grain yield increase with increase in maximum temperature among all the sowing dates, and vice-versa. Similarly, increase in minimum temperature decrease grain yield while decrease in minimum temperature increase grain yield levels. The future assessment using 2020, 2050 and 2080 years MarkSim model weather data suggest the predicted yield levels decline with the increase in the number of years. Yield levels increase till 2020 followed which yield trend decreases till 2080 year, suggesting a change in management practices with improvement in varieties for sustaining soybean yield levels.
 
Date 2017-02-04T06:00:35Z
2017-02-04T06:00:35Z
2016
 
Type Thesis
 
Identifier http://krishikosh.egranth.ac.in/handle/1/5810000097
 
Language en
 
Format application/pdf
 
Publisher JNKVV