Title: SIMULATION OF INFOCROP WHEAT MODEL UNDER DIFFERENT SOWING WINDOWS AT AKOLA.
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Date
2019-08-21
Journal Title
Journal ISSN
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Publisher
Publisher : Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra.
Abstract
Abstract: An experiment entitled “Simulation of InfoCrop wheat model under different sowing windows at Akola” was carried out in rabi season 2017-2018 at the farm of Wheat Research Unit, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola (M.S.). The treatments consisted of three sowing dates (46thMW, 48thMW and 51stMW) and five wheat genotypes (AKAW-4627, AKAW-3722, AKW-1071, AKAW-3997, and AKAW-4210-6). The experiment was laid out in a factorial randomized block design with three replications. The soil was clayey with pH 7.64 containing 206.08, 15.32, 339.45 kg ha-1 available N, P, K respectively.
The growth and yield attributes were by significant increased, when wheat crop was sown at D1 (46thMW) than D2 (48thMW) and D3 (51stMW). Grain yield obtained was significantly higher at D1 (46thMW) sowing. Out of five genotypes, (AKAW-4210-6) was superior over numbers of functional leaves plant-1, number of tillers plant-1, dry matter accumulation plant-1, spikelet plant-1, length of earhead, weight of earhead, number of earhead plant-1, number of spikelets earhead-1, number of grain earhead-1,weight of grains earhead-1, test weight(g), grain yield (kg ha-1), straw yield (kg ha-1), biological yield, harvest index. Genotype AKAW-4210-6 was proved better in obtaining highest B:C ratio.
Wheat crop sown at 51stMW required significantly lower growing degree days (GDD) and heliothermal units for completion of reproductive phase than 46thMW and 48thMW sown crop. Growing degree days and heliothermal units were observed maximum with genotype AKAW-3997 over the other genotypes at all stages of crop growth. The highest thermal use efficiency with grain yield, straw yield and biological yield was observed in AKAW-4210-6, while lowest thermal use efficiency was recorded in genotype AKAW-3997.
The results revealed that simulation of growth and yield parameters were compared with observed data and results indicated that the model underestimated all the growth parameters within the acceptable range (<15%) with significant accuracy. The model simulated the leaf area against observed value at different dates of sowing (0.81/0.89, 0.80/0.85, 0.80/0.81) and with genotypes (0.80/0.89, 0.78/0.83, 0.78/0.84, 0.79/0.81, 0.87/0.90), which was underestimated the per cent error below 10. The biomass yield and straw yield was slightly overestimated in all treatments and grain yields were well matched with different dates of sowing i.e. D1, D2, D3 and genotypes i.e. G1, G2, G3, G4, and G5. The grain yield was well simulated at all treatments. The predicted environmental factors play important role in growth of wheat, which were well matched with observed data. However the bright sunshine hours simulated by the model were more than the observed values. Thus, model predicted most of weather parameters correctly as compared to observed value of weather parameters.
Description
Description: The experiment was conducted during rabi, 2017 at Wheat Research Unit, Dr. P.D.K.V., Akola. The experiment conducted with factorial randomized block design, which deals with growth and yield performances of wheat genotypes and InfoCrop wheat model simulated under different sowing windows at Akola condition.
Keywords
Agro tags: Crops, Field crops, Triticum aestivum, Genotypes, High yielding genotypes, Sowing dates, Sowing windows, Growth component, Phenological stages, Production practices, Agronomy, Cultivation, Fertilizers, Harrowing, Hoeing, Weeding, Crop performance, Harvesting date, Crop yield, Yield component, Simulation, InfoCrop model, Crop model, Climate change, Statistical model prediction, Crop modeling, Simulation of crop model, Experimentation, Field experimentation, Statistical methods, Data collection, Data analysis, Experimental design,
Citation
Citation: DOFE, SHASHWATI GANESHRAO. (2019). Simulation of InfoCrop wheat model under different sowing windows at Akola. Department of Agronomy, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola. M. Sc. 2019. Print. xii, 129p. (Unpublished).