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Kumar R, Mishra SK, Singh K, Al-Ashkar I, Iqbal MA, Muzamil MN, Habib ur Rahman M, El Sabagh A. Impact analysis of moisture stress on growth and yield of cotton using DSSAT-CROPGRO-cotton model under semi-arid climate. PeerJ 2023; 11:e16329. [PMID: 38025731 PMCID: PMC10640844 DOI: 10.7717/peerj.16329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 09/30/2023] [Indexed: 12/01/2023] Open
Abstract
Adequate soil moisture around the root zone of the crops is essential for optimal plant growth and productivity throughout the crop season, whereas excessive as well as deficient moisture is usually detrimental. A field experiment was conducted on cotton (Gossipium hirsuttum) with three water regimes (viz. well-watered (control); rainfed after one post-sowing irrigation (1-POSI) and rainfed after two post-sowing irrigations (2-POSI)) in main plots and application of eight osmoprotectants in sub plots of Split plot design to quantify the loss of seed cotton yield (SCY) under high and mild moisture stress. The DSSAT-CROPGRO-cotton model was calibrated to validate the response of cotton crop to water stress. Results elucidated that in comparison of well watered (control) crop, 1-POSI and 2-POSI reduced plant height by 13.5-28.4% and lower leaf area index (LAI) by 21.6-37.6%. Pooled analysis revealed that SCY under control was higher by 1,127 kg ha-1 over 1-POSI and 597 kg ha-1 than 2-POSI. The DSSAT-CROPGRO-cotton model fairly simulated the cotton yield as evidenced by good accuracy (d-stat ≥ 0.92) along with lower root mean square error (RMSE) of ≤183.2 kg ha-1; mean absolute percent error (MAPE) ≤6.5% under different irrigation levels. Similarly, simulated and observed biomass also exhibited good agreement with ≥0.98 d-stat; ≤533.7 kg ha-1 RMSE; and ≤4.6% MAPE. The model accurately simulated the periodical LAI, biomass and soil water dynamics as affected by varying water regimes in conformity with periodical observations. Both the experimental and the simulated results confirmed the decline of SCY with any degree of water stress. Thus, a well calibrated DSSAT-CROPGRO-cotton model may be successfully used for estimating the crop performance under varying hydro-climatic conditions.
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Affiliation(s)
- Rotash Kumar
- Punjab Agricultural University, Regional Research Station, Faridkot, Punjab, India
| | - Sudhir Kumar Mishra
- Punjab Agricultural University, Regional Research Station, Faridkot, Punjab, India
| | - Kulvir Singh
- Punjab Agricultural University, Regional Research Station, Faridkot, Punjab, India
| | - Ibrahim Al-Ashkar
- Plant Production Department, College of Food and Agriculture Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Muhammad Aamir Iqbal
- Department of Agronomy, Faculty of Agriculture, University of Poonch, Rawalakot, Pakistan
| | | | - Muhammad Habib ur Rahman
- Institute of Crop Science and Resource Conservation (INRES), Crop Science, University of Bonn, Bonn, Germany
- Department of Seed Science and Technology, Institute of Plant Breeding and Biotechnology (IPBB), MNS-University of Agriculture, Multan, Punjab, Pakistan
| | - Ayman El Sabagh
- Department of Agronomy, Faculty of Agriculture, Kafrelsheikh University, Kafr El-Shaikh, Egypt
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