Please use this identifier to cite or link to this item: http://krishikosh.egranth.ac.in/handle/1/5810133751
Authors: SONA KUMAR
Advisor: Deb Kumar Das
Title: Simulation of growth and yield of mustard using AquaCrop model to study crop-weather interaction
Publisher: DIVISION OF AGRICULTURAL PHYSICS ICAR-INDIAN AGRICULTURAL RESEARCH INSTITUTE NEW DELHI
Language: en_US
Type: Thesis
Agrotags: null
Abstract: Indian mustard (Brassica juncea) is an important oilseed crop in India, grown mainly in the N-W plains during rabi season (October to April). Soil moisture deficit and terminal heat stress are common problems during growing season due to low rainfall and delayed sowing, respectively. An assessment in yield penalty due to water and temperature stress is required for adopting the suitable production strategy. For that, crop modelling is the most suitable approach. Through modelling assessment is without actual cultivation and very rapid. Crop models are of two types – solar radiation based and water based. In India, water is a greater limiting factor than solar radiation and water driven models are supposed to perform better here. Therefore, AquaCrop, a water driven model developed at FAO was selected for the present study. Simultaneously, a field experiment was conducted during the rabi season of 2018-19 at IARI farm with three mustard cultivars, viz. Pusa Vijay, Pusa Mustard-21 and Pusa Bold as treatments and nine replications in RBD. Observations on crop phenology, LAI, biomass, soil moisture were recorded at regular intervals. Final biomass and seed yield were recorded at the end of the season. The data generated in this study were used for AquaCrop model validation. AquaCrop (v6.1) model is a multi-crop model and needs calibration for adopting it to simulate growth and yield of mustard cultivars. Crop parameters used in this model were taken from literature and the data generated at IARI farm in earlier years. Canopy cover was derived from LAI. The model was run with the weather data of 2013-14 till sufficient accuracy was obtained between simulated and observed biomass and yield data. Then calibrated model was run with the weather data of 2018-19 to validate the phenology, biomass, seed yield for all three cultivars. The difference between simulated and observed phenology was within ±6 days. The difference between simulated and observed final biomass was ±6%. However, the deviation was more for simulated and observed values of seed yield (±10%). 81 | ABSTRACT To study the crop weather interaction through AquaCrop model, the model was tested for soil moisture stress with weather data of a low rainfall (2017-18) and high rainfall (2012-13) years. To find the effect of terminal heat stress the model was run to simulate biomass and seed yield for normal, delayed (early November) and very delayed (late November) sowings. Simulation results revealed that biomass and seed yield reduced progressively with delayed sowings. Yield penalty was also noticed in low rainfall year. Reduction in biomass and seed yield was more in Pusa Mustard -21 in both in low and high rainfall years. It can be concluded from this study that AquaCrop model can simulate the growth and yield of Indian mustard crop with a fair degree of accuracy. The mustard crop grown without moisture stress can compensate the adverse effect of delayed sowing to some extent. Pusa Vijay and Pusa Bold are tolerant to moisture and heat stress, respectively to some extent. Key words: Mustard crop phenology, AquaCrop model, Growth and yield simulation, growing degree day
Description: t-10118
Subject: Agricultural Physics and Meteorology
Theme: Simulation of growth and yield of mustard using AquaCrop model to study crop-weather interaction
These Type: M.Sc
Issue Date: 2019
Appears in Collections:Theses

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