Legume Research
Web of Science
  • Year: 2024
  • Volume: 47
  • Issue: 4

Climate change and its impact on water requirement and productivity of Bengal gram over different agro-climatic zones of Tamil Nadu

  • Author:
  • V. Guhan1,*, S. Arul Prasad2, S. Easwaran1, K. Annadurai1, M. Marimuthu1, D. Balu3, S. Vigneswaran4, C. Navin Kumar5
  • Total Page Count: 9
  • Page Number: 574 to 582

1ICAR-Krishi Vigyan Kendra, Sirugamani-639 115, Tiruchirappalli, Tamil Nadu, India

2Krishi Vigyan Kendra, Tamil Nadu Agricultural University, Tirur-602 025, Tamil Nadu, India

3Department of Agricultural Extension, Annamalai University, Chidambaram-608 002, Tamil Nadu, India

4Institute of Forest Genetics and Tree Breeding, Coimbatore-641 002, Tamil Nadu, India

5Department of Agronomy, Adhiparasakthi Agricultural College, Ranipet-632 506, Tamil Nadu, India

*Corresponding Author: V. Guhan, ICAR-Krishi Vigyan Kendra, Sirugamani-639 115, Tiruchirappalli, Tamil Nadu, India, Email: guhanthiran@gmail.com

Online published on 3 October, 2024.

Abstract

The AquaCrop model for Bengal gram successfully matches the biomass and yield of reported crop data under various planting dates, according to results that have been validated. Further this study was carried out in different agroclimatic zones of Tamil Nadu to assess variations in yield and water requirement.

In order to simulate realistic yields for the Bengal gram in response to planting date impacts in the Guziliamparai Block in the Dindugal District of Tamil Nadu, the study parameterized and verified performance of the AquaCrop model. Four field trials planted in D1-1st November, D2-15th November, D3-1st December and D4-15th December provided the model calibration data.

Fruit yield and biomass had R2 values of 0.9 and 0.8, respectively, indicating strong agreement between observed and model-simulated data. Fruit output and biomass were found to have RMSE values of 0.4 and 0.2, respectively. The NRMSE values for fruit yield and biomass were determined to be 0.3 and 0.1, respectively. The AquaCrop model somewhat overestimated fruit production and biomass since the BIAS was less than 0.4 and 0.2 for yield and biomass, respectively. Fruit production and biomass showed less agreement between simulated and actual D levels (0.4 to 0.6). The Aqua Crop model for bengal gram successfully matches the biomass and yield of reported crop data under various planting dates, according to results that have been validated. Further this study was carried out in different agroclimatic zones of Tamil Nadu to assess variations in yield and water requirement. Across Tamil Nadu's ACZ, a 2°C temperature increase decreased the yield by an average of 6%, with minimums of 2% and maximums of 13%. An rise in temperature of 3°C and 4°C, respectively, decreased the yield by 9% and 19% on average.

Keywords

AquaCrop, Bengal gram, Biomass, Elevated temperature, Validation, Yield