Dibosh Bordoloi

Scopus Publications

Analysis of Genetic Diversity in Rajmah Genotypes from the Barak Valley Zone of Assam, India
Safiqul Hussain, Dibosh Bordoloi, Muqsitur Rahman Choudhury, Ritu Ranjan Taye, Parveen Khan, Abu Syed Nuruz Zaman, Sanjib Ranjan Borah
Legume Research, 2026
Background: A comprehensive examination of genetic diversity is essential for informed decisions in crossing programs. This study focused on 14 diverse germplasm lines of bush/pole type Rajmah (Phaseolus vulgaris), conducted at the Zonal Research Station, Assam Agricultural University, during the rabi seasons of 2020-21 and 2021-22. Methods: The experiment was conducted utilizing a randomized block design (RBD) and comprised three replications The aim was to assess genetic diversity using ANOVA, genetic parameters, Pearson correlation, D² analysis and principal component analysis (PCA). Result: The results revealed significant differences among the genotypes for all traits measured. The phenotypic coefficient of variation (PCV) was greater than the genotypic coefficient of variation (GCV) across all traits. Key traits like plant height, seed weight per plant adn the number of seeds per plant displayed high GCV and heritability, suggesting these should be prioritized in breeding programs. Correlation analysis indicated that seed yield positively correlates with the number of pods per plant, seeds per plant adn seed weight, which are critical for selecting high-yield Rajmah genotypes. Cluster analysis categorized the genotypes into six clusters, with Cluster I being the largest. The largest inter-cluster distance was between Clusters IV and VI, indicating potential for heterosis. Principal component analysis highlighted important yield contributors, including days to 50% flowering and average pod weight. Overall, all genotypes exhibited sufficient genetic variability, with genotypes KMJ-R-2019-02, KMJ-R-2019-17 adn KMJ-R-2017-08 performing better than the check genotypes in yield-related traits, making them valuable for breeding programs.
Deep Learning for Plant High-Throughput Phenotyping and Phenomics
Amarjeet Singh Bhogal, Ellapu Govardhana Rao, Dikshita Hazarika, Dikshita Gogoi, Gayatree Hazarika, Niharika Saharia, Dibosh Bordoloi, Debojit Sarma
Deep Learning in Plant Science and Agricultural Biotechnology, 2026
Deep learning (DL), a specialized subset of artificial intelligence (AI) and machine learning (ML), holds immense potential in the field of plant high-throughput phenotyping (HTP) and phenomics. It enables computational frameworks utilizing multiple processing layers to gain insight into data representations at numerous degrees of abstraction, recognizing complexities in big datasets by the backpropagation strategy, and instructing a system where to modify its internal features that calculate subsequent layer’s depiction of the preceding layer. In today’s era of climate change, DL is a beacon of hope, enabling the automatic assessment of intricate plant traits such as developmental cycles, disease resistance, and stress responses. This technology improves crop enhancement and oversight efficiency by precisely evaluating massive amounts of image and sensor data. DL simplifies complex phenotyping and significantly minimizes human error. This chapter details various deep learning strategies for HTP and plant phenomics, offering a glimpse into the exciting future of plant science.
Characterization of Mungbean Mutants [Vigna radiata (L.) Wilczek] in M4 and M5 Generations
Deepshikha Saikia, Akashi Sarma, Dibosh Bordoloi
Legume Research, 2025
Background: An understanding the mungbean mutant lines with the check varieties can help in identifying mutants in better adoption. The present experiment was conducted to assess the genetic variation and morpho-metric characteristics of mungbean mutants in M4 and M5 generation. Methods: A set of 7 M3 progenies along with parent Pratap and 5 check was evaluated for M4 and M5 generation using randomized complete block design with three replications during kharif 2018 and summer 2019 in the experimental area of Instructional cum Research Farm, College of Agriculture, Assam Agricultural University, Jorhat, Assam. Result: Significant differences were observed for most of the traits in both M4 and M5 generation. High heritability estimate coupled with high genetic advance as per cent of mean was documented for numbers of branches per plant, pods per plant, percentage of disease incidence, 100 seeds weight and seed yield per plant in both the generation indicate the pre-ponderance of additive gene action. Seed yield per plant was found to be significantly and positively correlated with numbers of pods per cluster, seeds per pod, pod length and 100 seeds weight at genotypic and phenotypic level in both M4 and M5 generation. The traits 100 seeds weight and branches per plant had showed positive direct effect on seed yield in both the generations; hence these two traits might be most effective for selection of higher yield mutants in mung bean.
Morphological Characterization of Aromatic Rice of Assam
Safiqul Hussain, Dibosh Bordoloi, Muqsitur Rahman Choudhury, Ritu Ranjan Taye, Parveen Khan
Agricultural Research, 2025
Morpho-molecular and nutritional profiling for yield improvement and value addition of indigenous aromatic Joha rice of Assam
Dibosh Bordoloi, Debojit Sarma, Nagendra Sarma Barua, Ranjan Das, Bikram Kishore Das
Scientific Reports, 2024
Short-grain aromatic Joha rice of Assam is a unique class of specialty rice having tremendous potential in domestic and international markets. The poor yielding ability of Assam's Joha rice demands its systematic characterization for an effective breeding program. This study investigates the morphological, molecular and biochemical profiles of twenty popular Joha (aromatic) rice cultivars indigenous to Assam. Distinctiveness, Uniformity and Stability (DUS) characterization of the cultivars revealed polymorphism in thirty-seven traits, establishing distinctiveness for their utilization in breeding programs. Unweighted Neighbor Joining (UNJ) clustering based on usual Euclidean distances for the polymorphic morphological markers grouped the cultivars into three clusters with eight, eleven, and one genotypes. The Joha rice cultivars showed significant differences for all the quantitative traits except for panicle length. The genotypic and phenotypic coefficients of variability (GCV & PCV) were high for grain yield ha−1 (24.62 & 24.85%) and filled grains panicle−1 (23.69 & 25.02%). Mahalanobis D2 analysis revealed three multi-genotypic and four mono-genotypic clusters of the cultivars. The first five principal components explain 85.87% of the variation among the cultivars for the traits under study; filled grain panicle−1 (0.91) and stem thickness (0.55) positively contributed to the first PC. The cultivars' average polyunsaturated fatty acids were 37.9% oleic acid, 39.22% linoleic acid, and 0.5% linolenic acid. Kon Joha 4 and Ronga Joha contained the highest iron (82.88 mg kg−1) and zinc (47.39 mg kg−1), respectively. Kalijeera, Kunkuni Joha, Kon Joha-5, Manimuni Joha and Kon Joha-2 accorded a strong aroma. PCR amplified 174 alleles with a mean value 2.64 across the 66 polymorphic SSR markers. PIC values ranged from 0.091 to 0.698, with an average of 0.326. The highly informative (PIC > 0.50) markers were RM316, RM283, RM585, RM1388, RM3562, RM171, R1M30, RM118, RM11and RM29 for identification of the twenty aromatic rice cultivars. PCR amplification of 27 SSR markers identified 28 unique alleles (97–362 bp) in 13 Joha rice cultivars, which can help their identification/DNA fingerprinting. The UNJ clustering based on Jaccard's coefficients classified the cultivars into three distinct clusters with eight, ten, and two genotypes. Our study revealed the nutritional richness of these specialty Joha rice cultivars and sufficient scope for yield enhancement through their interbreeding to keep quality intact.
A single-base deletion in exon 2 of Hd1 delineates monogenic recessive photoperiod insensitivity in aromatic Joha rice: a novel allele for seasonal adaptability
Bodeddula Jayasankar Reddy, Shreekant M. Baradkar, Tamma V. S. S. Manogna, Dibosh Bordoloi, Subhash C. Bihani, Nagendra Sarma Barua, Akhil Ranjan Baruah, Bikram Kishore Das, Suvendu Mondal, Debojit Sarma
Biological Research, 2024
Background Assam's aromatic Joha rice is a unique rice class famous for its aroma, taste, and nutritional benefits, which fetch high market prices in domestic and international markets. Joha landraces are inherently poor yielders due to their strong aroma and predominantly photoperiod sensitivity. Hybridization involving non-aromatic HYVs improves yield with concomitant loss of quality. In this context, mutation breeding, a sustainable approach where genetic mutations are induced to create desirable traits, often provides useful allelic variation in specific morpho-agronomic traits. The present study delves into the genetic characterization of a photoperiod-insensitive mutant. As part of our mutation breeding programme, this mutant was isolated from a gamma ray-induced M2 population of a Joha rice landrace, Kon Joha. Results The mutant was unique, and a single recessive gene conditions the induced photoperiod insensitivity. Mutant gene tagging involved 402 SSR and InDel markers, and later polymorphic markers were used for bulk segregant analysis (BSA) in the F2 population of ‘mutant × Kalijeera (distant parent)’. BSA revealed an association between the SSR marker RM527 and this mutant trait. This marker is present on chromosome 6 of the rice genome. Using chromosome 6-specific SSR markers in polymorphic screening and BSA revealed another associated marker, RM19725, for the mutant trait. The genomic interval between RM527 and RM19725 harbors a photoperiod-insensitive gene, Hd1, on chromosome 6. Cloning and sequencing of Hd1 genomic fragments from the parents and mutants revealed a single-base deletion in exon 2, leading to a frameshift mutation in the Hd1 protein. This mutation in exon 2 leads to severe structural abnormalities in the CCT domain of the Hd1 protein that is critical for the interaction of the repressing complex with conserved response elements in the florigen gene under long-day conditions, thereby causing photoperiod insensitivity. Conclusions The mutant's pleasant aroma and other quality characteristics, comparable to those of the parent cultivar, hold significant promise. They expand its potential use in a structured breeding programme aimed at developing high-value aromatic Joha rice. This rice, resilient to winter- and summer-growing environments and with broad seasonal adaptability, could revolutionize the rice market. The practical value of our research is underscored by this exciting possibility.
Comparative sensitivity and relative biological effectiveness of gamma-rays, X-rays and electron beams in aromatic Joha rice derived from different locations in Assam state
Dibosh Bordoloi, Debojit Sarma, Bikram Kishor Das
Cereal Research Communications, 2024
Morpho-physiological Variability and Yield Determinants for Drought Tolerance in Blackgram [Vigna mungo (L.) Hepper]
D. Bordoloi, A. Sarma, D. Sarma
Agricultural Science Digest, 2023
Background: An understanding of genotypic differences to water deficit stress can help in identifying genotypes that can tolerate drought with reasonable grain yield. The present experiment was conducted to assess the physiological and yield-related parameters of ten black gram genotypes under water deficit stress environment. Methods: We evaluated ten diverse black gram genotypes for yield and drought-related traits under water deficit stress (3.98% moisture content) and non-stress (14.35% moisture content) environments in separate pot experiments following complete randomized designs with three replications during Kharif 2015-16. Result: Analysis of variance revealed significant genetic variation among the genotypes for almost all the observed traits. The traits viz., 100-seed weights, proline content, pods per plant, relative leaf water content, chlorophyll content and seed yield per plant showed high heritability estimates coupled with a high genetic advance under both the environments. Based on grain yield efficiency index, the genotypes AKU 10-6, COBG 10-06 and NDUK 13-4 were drought efficient with high yield under stress condition.
Mutation induction in aromatic Joha rice of Assam for improvement of morpho-agronomic traits through M1 to M3 generation
Dibosh Bordoloi, Debojit Sarma, Nagendra Sarma Barua, Bikram Kishore Das
International Journal of Radiation Biology, 2023
PURPOSE: and is susceptible to lodging. MATERIALS AND METHODS: 2019, and 66 mutants were confirmed. RESULTS: . The GCV and PCV estimates were high (>20%) for grain yield, biological yield, productive tillers, filled grains, and average panicle weight. All the traits except panicle length exhibited high heritability coupled with high genetic advance, suggesting the predominance of additive gene action and the effectiveness of simple selection. Grain yield showed a significant positive correlation with plant height, panicle length, filled grains, spikelet fertility, the average panicle weight and harvest index in the mutant population. CONCLUSIONS: proved useful in inducing desirable changes in plant architectural traits. The study further emphasized the short stature high yielding mutants with strong aroma for wide-scale testing in the state.
Induced Genetic Variability through Physical and Chemical Mutagens in M2 Generation of Greengram
Akashi , , , , , Sarma, V. J. Dhole, A. Bhattacharjee, P. Das, D. Sarma, D. Bordoloi
Legume Research, 2022
Uniform and healthy seeds of green gram cv. Pratap (SG-1) were treated with two mutagens, gamma rays (physical mutagen) and EMS (chemical mutagen) alone and in combination. The two hundred forty M1 progenies were laid in randomized block design with three replications during Kharif, 2017 to raise M2 generation. Analysis of variance discloses significant differences among the treatments for all the eight characters studied. It was observed that in general, the combination dose, i.e., 200 Gy+0.2% EMS gave superior results in almost all the yield attributing characteristics. High heritability coupled with high genetic advance was recorded for seed yield per plant, which indicates the predominance of additive gene action. Number of pods per plant followed by pod length showed high significant positive correlation with seed yield per plant. The character number of pods per cluster had shown positive correlation with seed yield per plant, but path analysis revealed its negative direct effect on seed yield.
Variation in Morpho-Agronomic Traits of Lowland Rice (Oryza Sativa) Genotypes of Assam in Response to Phosphorus Fertilization
Priyanka Das, Dibosh Bordoloi, Debojit Sarma
Agricultural Research, 2022
Studies on Character Association and Causal Relationship of Seed Yield and Its Components in Early Maturing Genotypes of Pigeon Pea (Cajanus cajan L.)
N. Borah, A. Sarma, D. Sarma, A. Bhattacharjee, D. Bordoloi
Indian Journal of Agricultural Research, 2020

Dibosh Bordoloi

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Scopus Publications