**Executive Summary**
Scientists from the Birbal Sahni Institute of Palaeosciences (BSIP) have developed a novel biometric threshold to distinguish between cultivated cereal and wild grass pollen in India's Central Ganga Plain. This first-of-its-kind indigenous study, published in *The Holocene* on April 6, 2026, provides a precise tool for reconstructing ancient agricultural practices and human settlements over the last 11,700 years. The findings offer a region-specific scientific analogue, removing the previous reliance on European reference databases for Indian palaeoecology.
**Key Points / Main Content**
* **Study Methodology and Scope**
* Conducted by BSIP, an autonomous institution of the Department of Science and Technology (DST), in collaboration with the Botanical Survey of India and other national institutions.
* Researchers analyzed 22 cereal and non-cereal species to establish a reliable biometric threshold.
* The study utilized advanced imaging techniques, including Light Microscopy (LM), Confocal Laser Scanning Microscopy (CLSM), and Field Emission Scanning Electron Microscopy (FESEM).
* **Pollen Identification Criteria**
* The study established a "paired biometric threshold" based on micro-morphology, specifically grain diameter and annulus diameter (the ring surrounding the pore).
* Cereal pollen generally exceeds 46 µm in grain diameter and 9 µm in annulus size.
* Wild grass pollen typically falls below these specific measurements.
* Pearl millet was identified as an exception to these thresholds, as its pollen is smaller than other cereals.
* **Scientific Breakthroughs**
* Develops the first comprehensive pollen micro-morphological analogue for major Indian food crops and wild grass taxa.
* Provides indigenous data specific to the Central Ganga Plain, allowing for more accurate local reconstructions compared to European databases.
* Enables the identification of "fossil anthropogenic marker pollen" to reveal past agriculture, deforestation, and settlement patterns.
**Impact Analysis**
**Scientists and Palaeontologists**
* **Impact:** They gain a robust, region-specific framework for distinguishing between cultivated and wild grasses in sediment samples.
* **Action Required:** Use the established 46 µm/9 µm biometric thresholds to identify pollen taxa and reconstruct palaeoecology with higher precision.
**Archaeologists and Environmental Historians**
* **Impact:** This discovery enhances the accuracy of research regarding how humans transformed the Ganga Plain into a major agricultural hub.
* **Action Required:** Incorporate this local evidence-based analogue into studies of ancient land use and human influence on ecosystems.
**The Department of Science and Technology (DST) and Research Institutions**
* **Impact:** The study validates the effectiveness of collaborative, indigenous scientific research in solving long-standing morphological challenges.
* **Action Required:** Support the further application of this tool to trace the onset and intensity of ancient agricultural practices across diverse Indian landscapes.
Key Entities Referenced
Birbal Sahni Institute of Palaeosciences (BSIP): An autonomous institution under the Department of Science and Technology that led the study to establish biometric thresholds for distinguishing cultivated crop pollen from wild grasses.
Central Ganga Plain: The specific geographical region in India central to the study's scope, where the research established indigenous biometric thresholds to reconstruct agricultural history.
Department of Science and Technology (DST): The government department overseeing the BSIP and the primary authority behind the announcement of the research findings.
Dr. Swati Tripathi: The Senior Scientist from BSIP who led the research team in developing India's first region-specific scientific tool for tracing the origins of agriculture.
Ministry of Science & Technology
NEW STUDY HELPS IN DECODING INDIA’S
FARMING PAST IN GANGA PLAIN USING GRASS
POLLEN GRAINS
Posted On: 06 APR 2026 3:16PM by PIB Delhi
A novel way to distinguish between pollen from cultivated crops and from wild grasses enables scientists
to unlock the story of India’s agricultural beginnings, particularly in the Central Ganga Plain. It offers a
powerful window into how human societies shaped the landscape over millennia.
India is the second-largest producer of wheat and rice, the world’s major food staples. Establishing region-
specific biometric thresholds for cereal and non-cereal grasses is essential for accurately identifying the
cultivated and wild grass pollen, which could aid in reconstructing past human habitation and agricultural
practices in India.
Most cereal crops such as wheat, rice, barley, and millets belong to the Poaceae (grass) family, whose
pollen looks very similar to that of wild grasses. Under a microscope, telling them apart has long been
difficult. As the pollen is preserved in sediments, its assemblage can reveal past agriculture, deforestation,
and settlement during the Holocene (last 11,700 years).
Pollen micro-morphology, particularly overall grain size and annulus diameter (the ring surrounding the
pore), is a key criterion for distinguishing cultivated cereals from wild ones for reconstructing past human
influence and palaeoecology.
Yet no comprehensive study has yet been undertaken to develop a detailed pollen micro-morphological
analogue of major food crops and associated wild taxa of the Poaceae (grass) family. Accurate
identification of fossil anthropogenic marker pollen taxa is therefore crucial for reconstructing human
activities over the past few millennia.
In a first-of-its-kind study from India, scientists from Birbal Sahni Institute of Palaeosciences (BSIP), an
autonomous institution of the Department of Science and Technology (DST) along with collaborators
analysed 22 cereal and non-cereal species using Light Microscopy (LM), Confocal Laser Scanning
Microscopy (CLSM), and Field Emission Scanning Electron Microscopy (FESEM) to establish a reliable
biometric threshold. They focused on the Central Ganga Plain.
This is because establishing region-specific biometric thresholds for cereal and non-cereal grasses is
essential for reliably distinguishing cultivated from wild grasses, thereby providing a robust tool for
accurately reconstructing past human habitation and agricultural practices in India and the Central Ganga
Plain (CGP), a region with extensive croplands and agricultural diversity, was appropriate for this study.
It helped the researchers reconstruct past environments, tracing the plants that grew there, how landscapes
changed, and even how humans influenced ecosystems.Published in the journal, The Holocene (SAGE publication), the study establishes a clear “paired
biometric threshold,” where cereal pollen generally exceeds 46 µm in grain diameter and 9 µm in annulus
size (except pearl millet, which is smaller), while wild grasses fall below these values.
This framework provides a robust tool for distinguishing cereal from non-cereal pollen in the Central
Ganga Plain, India’s food basket, and for accurately tracing the onset and intensity of ancient agricultural
practices.
This is the first time such an analogue has been developed using indigenous data from the Ganga Plain,
enabling scientists to reconstruct the region’s agricultural past based on local evidence rather than relying
on European pollen reference databases.
Fig 1:. Pollen micro-morphology of Non-cereal pollen
The study was led by Senior Scientist Dr. Swati Tripathi from BSIP, Lucknow, in collaboration with Dr.
Arti Garg (Botanical Survey of India, Prayagraj); Arya Pandey and Anupam Sharma (BSIP); Priyanka
Singh (Indian Institute of Geomagnetism, Mumbai); and Anshika Singh (Lucknow University).
This discovery will significantly enhance the accuracy of research on ancient agriculture, land use, and
human impact on ecosystems. It will help archaeologists and environmental historians understand how
humans gradually transformed the fertile plains of the Ganga into a major agricultural hub.Fig. 2. Pollen micro-morphology of Cereal pollen
The study provides India with its first clear, region-specific scientific tool to trace the origins of
agriculture and human settlement with much greater precision.
Publication link: https://doi.org/10.1177/09596836251414010.
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