Dr. Debarati Chakraborty
@naturophilia.in
CEO & Co-Founder
ASDC Naturophilia Agrotech Pvt. Ltd.
EDUCATION
1. Post-Doctorate at International Crops Research Institute for the Semi-arid Tropics (ICRISAT), Hyderabad, India.
2. Ph.D. in molecular biology and biotechnology, Faculty of Science, University of Kalyani, India.
3. M.Phil. in Oceanography and coastal management, Jadavpur University, India.
4. M.Sc. in Industrial Biotechnology, Berhampur University, India.
RESEARCH, TEACHING, or OTHER INTERESTS
Agricultural and Biological Sciences, Biochemistry, Genetics and Molecular Biology, Agronomy and Crop Science, Soil Science
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Debarati Chakraborty
Apple Academic Press
Martha Domhoefer, Debarati Chakraborty, Eva Hufnagel, Joelle Claußen, Norbert Wörlein, Marijn Voorhaar, Krithika Anbazhagan, Sunita Choudhary, Janila Pasupuleti, Rekha Baddam,et al.
Springer Science and Business Media LLC
Abstract Background In India, raw peanuts are obtained by aggregators from smallholder farms in the form of whole pods and the price is based on a manual estimation of basic peanut pod and kernel characteristics. These methods of raw produce evaluation are slow and can result in procurement irregularities. The procurement delays combined with the lack of storage facilities lead to fungal contaminations and pose a serious threat to food safety in many regions. To address this gap, we investigated whether X-ray technology could be used for the rapid assessment of the key peanut qualities that are important for price estimation. Results We generated 1752 individual peanut pod 2D X-ray projections using a computed tomography (CT) system (CTportable160.90). Out of these projections we predicted the kernel weight and shell weight, which are important indicators of the produce price. Two methods for the feature prediction were tested: (i) X-ray image transformation (XRT) and (ii) a trained convolutional neural network (CNN). The prediction power of these methods was tested against the gravimetric measurements of kernel weight and shell weight in diverse peanut pod varieties1. Both methods predicted the kernel mass with R2 > 0.93 (XRT: R2 = 0.93 and mean error estimate (MAE) = 0.17, CNN: R2 = 0.95 and MAE = 0.14). While the shell weight was predicted more accurately by CNN (R2 = 0.91, MAE = 0.09) compared to XRT (R2 = 0.78; MAE = 0.08). Conclusion Our study demonstrated that the X-ray based system is a relevant technology option for the estimation of key peanut produce indicators (Figure 1). The obtained results justify further research to adapt the existing X-ray system for the rapid, accurate and objective peanut procurement process. Fast and accurate estimates of produce value are a necessary pre-requisite to avoid post-harvest losses due to fungal contamination and, at the same time, allow the fair payment to farmers. Additionally, the same technology could also assist crop improvement programs in selecting and developing peanut cultivars with enhanced economic value in a high-throughput manner by skipping the shelling of the pods completely. This study demonstrated the technical feasibility of the approach and is a first step to realize a technology-driven peanut production system transformation of the future.
Debarati Chakraborty
Springer US
K. Sri Manjari, Debarati Chakraborty, Aakanksha Kumar, and Sakshi Singh
Wiley
Avik Ray, Debarati Chakraborty, and Surajit Ghosh
Ubiquity Press, Ltd.
We have evaluated the proto-indica model that is the proponent of multiple domestication of rice but a single origin of the key genes in japonica. Attainment of non-shattering, a marker; appeared least integral to the initial phases of domestication. The other archeological determinants were less discernible in specimens. Existence of the key domestication genes in the wild rice and absence of introgression signature in indica further weakened the hypothesis. Moreover, japonica introduction from China happened in a backdrop of a culture exploiting domesticated rice. Summarizing, we propose that proto-indica model has a little bearing on rice domestication.
Serge Svizzero, Avik Ray, and Debarati Chakraborty
Springer Science and Business Media LLC
Debarati Chakraborty and Avik Ray
Cambridge University Press (CUP)
AbstractThe rice-based agriculture of the Indian subcontinent has been interwoven in the rich socio-cultural fabric of the country. Of which, bio-culturally diverse North-Eastern states nurture thousands of landraces with poorly tapped agronomic traits. In the present study, 27 standard microsatellite data from 171 rice landraces from six states were analysed to understand their genetic diversity and population structure. Further, combining with a global dataset, we determined subpopulation identity using both model-based and multivariate analyses to uncover their history. We found moderate to high genetic diversity and high differentiation [standardized G”ST = 0.57]. The AMOVA partitioned overall variance into within population (75%) and among population (25%). The landraces from six states remained at various degrees of differentiation (pairwise FST = 0.09–0.41). We have detected a preponderance of aus-type in a majority of aromatic landraces. Rests were japonica and admixed with a little representation of indica. The presence of aromatic aus probably implied assimilation into local culture from the primary aus growing region of Bangladesh and India. Likewise, the arrival of japonica may stem from the exchange of goods among neighbouring dynasties via Southern and Southwestern Silk routes. The shared ancestry may reflect a merger of two ancient cultures. Our analyses also uncovered the existence of aus-type short and medium grain aromatic rice predicting an origin of aroma in aus subpopulation. Collectively, it demonstrated the diversity and divergent history of the rice landraces have been shaped by various socio-cultural interactions operative over time and space.
Peter Civáň, Sajid Ali, Riza Batista-Navarro, Konstantina Drosou, Chioma Ihejieto, Debarati Chakraborty, Avik Ray, Pierre Gladieux, and Terence A Brown
Oxford University Press (OUP)
Abstract The aromatic group of Asian cultivated rice is a distinct population with considerable genetic diversity on the Indian subcontinent and includes the popular Basmati types characterized by pleasant fragrance. Genetic and phenotypic associations with other cultivated groups are ambiguous, obscuring the origin of the aromatic population. From analysis of genome-wide diversity among over 1,000 wild and cultivated rice accessions, we show that aromatic rice originated in the Indian subcontinent from hybridization between a local wild population and examples of domesticated japonica that had spread to the region from their own center of origin in East Asia. Most present-day aromatic accessions have inherited their cytoplasm along with 29–47% of their nuclear genome from the local Indian rice. We infer that the admixture occurred 4,000–2,400 years ago, soon after japonica rice reached the region. We identify aus as the original crop of the Indian subcontinent, indica and japonica as later arrivals, and aromatic a specific product of local agriculture. These results prompt a reappraisal of our understanding of the emergence and development of rice agriculture in the Indian subcontinent.
Madhurima Bakshi, Somdeep Ghosh, Debarati Chakraborty, Sugata Hazra, and Punarbasu Chaudhuri
Elsevier BV
Avik Ray and Debarati Chakraborty
Springer Science and Business Media LLC
Debarati Chakraborty, Debal Deb, and Avik Ray
Springer Science and Business Media LLC
Hasanur Jaman, Debarati Chakraborty, and Papita Saha
Wiley
AbstractThe use of rice husk as a low cost adsorbent for the removal of copper from wastewater has been explored in a laboratory scale experiment. The rice husk used for the study was treated with alkali to increase the sorption properties. The influence of metal ion concentration, weight of biosorbent, stirring rates, temperature and pH were also evaluated, and the results are fitted using adsorption isotherm models. From the experimental results it was observed that almost 90–98% of the copper could be removed using treated rice husk. The Langmuir adsorption isotherm, Freundlich isotherm and Tempkin isotherm models were used to describe the distribution of copper between the liquid and solid phases in batch studies, and it was observed that the Langmuir isotherm better represented the adsorption phenomenon. The experimental rate constant, activation energy, Gibbs free energy, enthalpy and entropy of the reaction were calculated in order to determine the mechanism of the sorption process.
RECENT SCHOLAR PUBLICATIONS
MOST CITED SCHOLAR PUBLICATIONS
Publications
PREPRINT
Preprint
Ghosh S, Chakraborty D, Dash P et al. 2018. Climate risks adaptation strategies for Indian Sundarbans.
POPULAR SCIENCE ARTICLE
1. Chakraborty D. Winged Guardians of rice fields: stories of Dragonflies and Damselflies. CEiBa Newsletter Vol. 1, Issue 2, 2018, DOI: 10.13140/ .
03364.
2. Chakraborty D. The scented story of rice. MarcH25, 2020.
3. Chakraborty D. Bhoot Choturdoshi - An ancient Shaak eating ritual with ethnomedicinal importance. CEiBa Newsletter Vol. 3, Issue 1, 2020, DOI:10.13140/
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