Characterization of the Pearl Millet Cultivation Environments in India: Status and Perspectives Enabled by Expanded Data Analytics and Digital Tools
Author:
Garin Vincent1ORCID, Choudhary Sunita1, Murugesan Tharanya1, Kaliamoorthy Sivasakthi1, Diancumba Madina2, Hajjarpoor Amir3ORCID, Chellapilla Tara Satyavathi4ORCID, Gupta Shashi Kumar1, Kholovà Jana15
Affiliation:
1. International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502324, India 2. Leibniz Centre for Agricultural Landscape Research (ZALF) e.V., 15374 Müncheberg, Germany 3. Institut de Recherche Pour le Développement, UMR DIADE, Université de Montpellier, 34394 Montpellier, France 4. All India Coordinated Research Project on Pearl Millet, Jodhpur 342304, India 5. Department of Information Technologies, Faculty of Economics and Management, Czech University of Life Sciences, 165 00 Prague, Czech Republic
Abstract
The cultivation of pearl millet in India is experiencing important transformations. Here, we propose a new characterization of the pearl millet production environment using the latest available district level data (1998–2017), principal component analysis, and large-scale crop model simulations. Pearl millet cultivation environment can be divided in up to five environments (TPEs). The eastern part of the country (Rajasthan, Haryana, Uttar Pradesh) emerges as the only region where pearl millet cultivation has grown (+0.4 Kha/year), with important yield increase (+51 kg/ha/year), and potential surplus that are likely exported. Important reductions of pearl millet cultivated area in Gujarat (−4.5 Kha/year), Maharashtra and Karnataka (−4 Kha/year) are potentially due to economy-driven transition to other more profitable crops, such as cotton or maize. The potential rain increase could also accelerate this transition. With R2∈ [0.15–0.61], the tested crop models reflected reasonably well the pearl millet production system in the A1 (North Radjasthan) and AE1 (South Rajastan and Haryana) TPEs covering the largest area (66%) and production share (59%), especially after the use of a new strategy for environment and management parameters calibration. Those results set the base for in silico system design and optimization in future climatic scenarios.
Funder
ICAR-ICRISAT Crops to End Hunger initiative Swiss National Science Foundation Faculty of Economics and Management from the Czech University of Life Sciences Prague Global Challenge Research Fund (GCRF)/Biotechnology and Biological Sciences Research Council
Subject
Agronomy and Crop Science
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