CPCRI Digital Repository
DSpace is a digital service that collects, preserves, and distributes digital material. Repositories are important tools for preserving an organization's legacy; they facilitate digital preservation and scholarly communication
Recent Submissions
Current status of application of digital technologies in plantation crops
(2024) Hebbar, K.B.; Ravi Bhat
The plantation sector in India, comprising crops like coconut, arecanut, tea, coffee, rubber, and oil palm, significantly contributes to the national economy, supporting over 30 million small-scale growers. Despite its importance, the sector faces challenges in resource management, labour shortages, and environmental sustainability. The integration of digital technologies such as loT, AI, drones, and block chain is revolutionizing plantation crop management. These technologies enhance resource efficiency, facilitate precise crop monitoring, predict yields, detect diseases, and improve pest control. Additionally, AI-driven tools and big data analytics aid in optimizing irrigation, fertilization, and market strategies. Drones offer advantages in aerial surveys and pesticide application, while blockchain ensures transparency in the supply chain, especially for export-oriented crops. The collaborative efforts between agricultural and technological sectors are paving the way for a more sustainable, efficient, and competitive plantation industry. This integration is crucial for addressing resource limitations and ensuring long-term growth and global market competitiveness in the plantation sector.
Plantation Sector for Viksit Bharat: : Nutririon, Empowerment, and Livelihood
(2025) Hebbar, K.B.; Ravi Bhat
Predicting current and future climate suitability for arecanut (Areca catechu L.) in India using ensemble model
(2024) Hebbar, K.B; Abhin Sukumar P; Sanjo Jose V; Ramesh, S.V.; Ravi Bhat
Climate change has the potential to influence plant development, physiology, and distribution. Arecanut (Areca catechu L.), with its long life span of 60–70 years, thrives in a tropical habitat remains exposed to various abiotic and biotic factors. It is pertinent to comprehend the adaptation strategies of this crop towards climate change over time. The Biomod2 ensemble platform for species distribution modeling was utilized to predict the potential impact of climate change on the adaptability of the crop. The extracted study region of India was used for prediction, and the final run of 6 models ensemble includes 894 occurrence points and 9 climate variables with 80%–20% of training and validation sets. The model’s outputs had area under curve (AUC) values of 0.943 and true skills statistics (TSS) of 0.741, which are regarded as accurate. The research area was categorized into five groups: very high, high, moderate, low, and very low. The examination involved assessing the shift in each category from the present to two prospective scenarios (shared socio-economic pathways; SSP 2–4.5 and SSP 5–8.5) projected for the 2050s and 2070s. A shift in the climate suitability area from ‘very high’ and ‘high’ categories to ‘moderate’ or ‘very low’ categories was observed suggesting the need for adaptive strategies to sustain the current yield levels. Amongst the regions, Karnataka state, which at present has more than 50% area under cultivation, is highly vulnerable and more area is coming under ‘very low’ and ‘low’ categories from eastern side. Meanwhile, in north eastern part of the country a shift in high suitable region from northwest to southwest is observed. Overall, the model prediction suggests that some parts of west and south interior regions of the country warrant immediate consideration in order to adapt to future climate change, whereas some part of north east can be considered for future cultivation.
Perspectives on the cardioprotective, neuroprotective and anti-obesity functions of coconut (Cocos nucifera L.)
(2024) Shameena Beegum; Ramesh, S.V.; Pandiselvam, R.; Neema, M.; Daliyamol; Manikantan, M.R.; Hebbar, K.B
Widely acclaimed as the "tree of life," the coconut is intrinsically woven into human culture as a source of food, shelter, and medicine. Coconut oil and its derivatives have found diverse applications in both food and industry. Of late, the consumption of coconut in the form of oil and its derivatives has been proven to be beneficial. Taking into account the most recent clinical evidences, an attempt was made to present a concise review of the cardioprotective, neuroprotective, and anti-obesity effects of coconut and its derivatives. Our analysis reveals that research evidence supports the cardioprotective and neuroprotective effects of coconut. Numerous clinical trials have proven the anti-obesity and hypoglycemic effects of coconut oil and products. High contents of myocardial anti-oxidants, and differential metabolism of medium chain fatty acids (MCFAs) provide cardioprotective effects. The ketogenic effect of coconut derived products confers neuroprotective measures and enhanced energy expenditure in the metabolism of MCFAs and polyphenolic anti-oxidants are suggested to offer anti-obesity effects. Nevertheless, further research with more randomized, controlled, large clinical trials that evaluate the optimal dosage and side effects, if any, are warranted. Based on this comprehensive review, it is understood that MCFAs are the key component, apart from the phytochemicals such as polyphenols, tocopherols, and other antioxidants that accord these health benefits. Overall, the health benefits of coconut and its derivatives are perceptible, though there is a need for long-term clinical trials. Also a shift of research focus from coconut fatty acids and oil to other phytochemicals and to design appropriate clinical and epidemiological studies to discover coconut biomolecules of health importance is warranted.
Regulation of coconut somatic embryogenesis: decoding the role of long non‑coding RNAs
(2024) Sabana, A.A; Ginny Antony; K. P. Gangaraj; Tony Grace; Rajesh, M.K.
Long non-coding RNAs (lncRNAs) are transcripts longer than 200 nucleotides that lack significant protein coding potential and have been shown to regulate various biological processes. This study was designed to identify lncRNAs in coconut and their role in the process of somatic embryogenesis in coconut, a crop with high recalcitrance to in vitro culture. RNA-Seq data of coconut embryogenic calli of the West Coast Tall cultivar was exploited for in silico prediction of lncRNA. From a total of 6328 transcripts, which were annotated as uncharacterised or with no homology hits with the existing database, 5110 putative lncRNAs are identified. We also studied the relationship between lncRNAs, microRNAs (miRNAs) and mRNAs and found that some of the lncRNAs act as miRNA precursors, some as potential miRNA targets and some function as endogenous target mimics (eTMs) for miRNAs. Real-time quantitative PCR confirmed that 10 selected lncRNAs showed significant differences in the expression pattern in different stages of coconut somatic embryogenesis. Our results suggest the existence of diverse lncRNAs in coconut embryogenic calli, some of which are differentially expressed. The information generated in this study could be of great value in understanding the molecular mechanisms governing somatic embryogenesis in coconut