Evidence map›Paper›PMID 42265254›Full record

ArticleScientific reports2026

A data-light composite climate resilience index reveals superior drought resilience of millets in rainfed agroecosystems.

A K Nayak, B S Satpathy, S Pradhan, N M Jeepsa, S Barik, Mithlesh Kumar, D K Panda, M Jothimani, A Sarangi, S K Mishra

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

A K NayakICAR-Indian Institute of Water Management Opposite Rail Vihar, Chandrasekharpur, Bhubaneswar, 751023, Odisha, India. anayak62@gmail.com.
B S SatpathyICAR-Indian Institute of Water Management Opposite Rail Vihar, Chandrasekharpur, Bhubaneswar, 751023, Odisha, India. bsatapathy99@gmail.com.
S PradhanICAR-Indian Institute of Water Management Opposite Rail Vihar, Chandrasekharpur, Bhubaneswar, 751023, Odisha, India.
N M JeepsaICAR-Indian Institute of Water Management Opposite Rail Vihar, Chandrasekharpur, Bhubaneswar, 751023, Odisha, India.
S BarikICAR-Indian Institute of Water Management Opposite Rail Vihar, Chandrasekharpur, Bhubaneswar, 751023, Odisha, India.
Mithlesh KumarICAR-Indian Institute of Water Management Opposite Rail Vihar, Chandrasekharpur, Bhubaneswar, 751023, Odisha, India.
D K PandaICAR-Indian Institute of Water Management Opposite Rail Vihar, Chandrasekharpur, Bhubaneswar, 751023, Odisha, India.
M JothimaniDepartment of Geology, College of Natural and Computational sciences, Arba Minch University, Arba Minch, Ethiopia. muralitharangeo@gmail.com.
A SarangiICAR-Indian Institute of Water Management Opposite Rail Vihar, Chandrasekharpur, Bhubaneswar, 751023, Odisha, India.
S K MishraICAR-Indian Institute of Water Management Opposite Rail Vihar, Chandrasekharpur, Bhubaneswar, 751023, Odisha, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rainfed agriculture is highly vulnerable to increasing rainfall variability and drought under climate change, necessitating robust and transferable approaches for assessing crop resilience. The IPCC climate risk and resilience framework conceptualizes resilience as the integrated interaction of exposure, sensitivity, and adaptive capacity. Accordingly, the Composite Crop Resilience Index (CCRI) was developed by integrating exposure resilience under the exposure component, rainfall-yield elasticity-based sensitivity resilience under the sensitivity component, and detrended Yield Stability Index (YSI) under the adaptive capacity component using long-term district-level rainfall and crop yield datasets (1998-2023). Rice exhibited the highest climatic sensitivity, with drought-year yield reductions frequently exceeding 40-60% and high rainfall-yield elasticity across districts, followed by maize. In contrast, millet crops consistently recorded lower drought-induced yield losses, lower rainfall sensitivity, higher yield stability, and consequently higher CCRI values across districts. Sensitivity analysis demonstrated stable resilience rankings under alternative weighting scenarios, confirming the robustness of the CCRI framework. Overall, millet-based systems exhibited substantially greater climatic resilience than rice-based systems under drought-prone rainfed conditions, highlighting their potential for climate adaptation and resilient crop diversification in vulnerable agroecosystems.

Indexed as

Climate adaptationComposite resilience indexDrought resilienceMilletsRainfed agriculture

Identifiers

PMID42265254
PMCPMC13493875

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.