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Book of Extended summaries ISDA

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International Conference on Reimagining Rainfed Agro-ecosystems: Challenges &<br />

Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad<br />

<strong>of</strong> the crop is an important phenomenon to estimate the crop yield and understand the crop<br />

water necessity at different crop phenological stages as water deficits cause yield reduction.<br />

Crop growth simulation models are used for the optimization <strong>of</strong> sowing window and crop water<br />

stress during different stages <strong>of</strong> a crop during the season. In groundnut, flowering, pegging,<br />

and pod formation stages are the important growth stages where water availability is much<br />

needed for a better crop. Rainfall is one <strong>of</strong> the major weather parameters playing a crucial role<br />

in groundnut crop growth and yield. Simulation models help to simulate the crop water stress<br />

<strong>of</strong> different crops. There is a thresh hold <strong>of</strong> above a specific value (50%) that impacts crop<br />

growth and development process. On the other hand, the water requirement <strong>of</strong> groundnut varies<br />

with the stages and is lowest from germination to flower formation and reaches a maximum<br />

during pod formation. During these stages, if stress persists, the performance <strong>of</strong> the crop goes<br />

into trouble. In view <strong>of</strong> the above, a study has been conducted using the DSSAT model to<br />

simulate, identify and quantify the water stress at different crop stages <strong>of</strong> the Kharif sown<br />

groundnut crop.<br />

Methodology<br />

Experimental groundnut crop and weather<br />

data were collected from AICRPAM<br />

Anantapuramu center on Groundnut<br />

growth parameters and yields from the<br />

years 2009-2019. Calibrated and validated<br />

DSSAT Peanut model for K-6 variety used<br />

for simulating groundnut crop for different<br />

planting dates (15-June, 22-June, 30-June,<br />

7 July, 21 July, 28 July, 04 August, 11<br />

August and 15 August) and yields during kharif period. Simulations <strong>of</strong> pod yield and other<br />

yield attributes using the calibrated model were found to be quite accurate. The simulated<br />

output files further processed to extract the crop water stress.<br />

Results<br />

The optimum sowing window for Kharif groundnut in the Anantapur region is mid-June to mid<br />

<strong>of</strong> July and can continue up to 31 July, after that it is late sowing and will get a low yield after<br />

sowing 31 July. The CROPGRO model has been calibrated and validated for rainfed groundnut<br />

for the years 2019 and 2020 at the Anantapur agricultural station. In the package <strong>of</strong> practices<br />

for high yields <strong>of</strong> groundnut (K-6) in the Anantapur region planting in mid-June–15-July is<br />

recommended. The patterns <strong>of</strong> variation <strong>of</strong> the simulated yield with planting date, for the 11<br />

years (2009-2019) are shown in the figure.<br />

Resilience through land and water management interventions, water management and governance<br />

83 | Page

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