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205 results on '"Bollinedi, Haritha"'

11. Variety, Pusa Basmati 1885

Author

Singh, A. K., Ellur, R. K., Krishnan, S. Gopala, Nagarajan, M., Vinod, K.K., Bhowmick, P. K., Bollinedi, Haritha, Seth, Rakesh, Khanna, Apurva, Yadav, A. K., Prakash, G., Mondal, K. K., and Singh, Chandu

Published
2023

16. Phenotypic characterization of the novel seedling stage zebra leaf mutant, Pusa Zebra 18 in rice

Author

Amaresh, Subbaiyan, Gopala Krishnan, Vinod, Kunnummal Kurungara, Chinnusamy, Viswanathan, Sevanthi, Amitha Charu Rama Mithra Viyasamurthy, Dhandapani, Raju, Ellur, Ranjith Kumar, Bhowmick, Prolay Kumar, Bollinedi, Haritha, Umadevi, Palaniyandi, Senapati, Manoranjan, Verma, Rakesh Kumar, Nagarajan, Mariappan, Dhawan, Gaurav, Kumar, Pankaj, and Singh, Ashok Kumar

Published
2023
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22. Rice Breeding

Author

Gopala Krishnan, S., Vinod, K. K., Bhowmick, Prolay K., Bollinedi, Haritha, Ellur, Ranjth K., Seth, Rakesh, Singh, A. K., Yadava, Devendra Kumar, editor, Dikshit, Harsh Kumar, editor, Mishra, Gyan Prakash, editor, and Tripathi, Shailesh, editor

Published
2022
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26. Nutritional composition patterns and application of multivariate analysis to evaluate indigenous Pearl millet ((Pennisetum glaucum (L.) R. Br.) germplasm

Author

Tomar, Maharishi, Bhardwaj, Rakesh, Kumar, Manoj, Pal Singh, Sumer, Krishnan, Veda, Kansal, Rekha, Verma, Reetu, Yadav, Vijay Kumar, dahuja, Anil, Ahlawat, Sudhir Pal, Rana, Jai Chand, Bollinedi, Haritha, Ranjan Kumar, Ranjeet, Goswami, Suneha, T, Vinutha, Satyavathi, C. Tara, Praveen, Shelly, and Sachdev, Archana

Published
2021
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27. Identification of a Promising Novel Genetic Source for Rice Root-Knot Nematode Resistance through Markers Associated with Trait-Specific Quantitative Trait Loci.

Author

Premakumar, Mohanapure, Pallavi, Chavhan, Meghraj, Singh, Divya, Yadav, Jyoti, Somvanshi, Vishal Singh, Gopala Krishnan, S., Vinod, K. K., Bhowmick, Prolay K., Bollinedi, Haritha, Singh, Ashok Kumar, Rao, Uma, and Ellur, Ranjith Kumar

Subjects
LOCUS (Genetics), ROOT-knot, RICE, ROOT-knot nematodes, FARMERS
Abstract

Direct-seeded rice (DSR) is gaining popularity among farmers due to its environmentally safe and resource-efficient production system. However, managing the rice root-knot nematode (RRKN), Meloidogyne graminicola, remains a major challenge in DSR cultivation. Developing genetic resistance is a pragmatic and effective approach compared to using hazardous pesticides. Pusa Basmati 1121 (PB1121) is the most popular Basmati rice variety, but it is highly susceptible to RRKN. In contrast, Phule Radha (PR) has shown highly resistant reaction to RRKN, as reported in our earlier study. We generated an F2:3 population from the cross of PB1121/PR and evaluated it for RRKN resistance-related traits under artificial inoculation conditions. The distribution pattern of traits in the F2:3 population indicated that resistance may be governed by a few major-effect genes and many minor-effect genes. The molecular markers reported to be associated with QTLs governing RRKN resistance traits were used to test in the current population. Although the simple linear regression identified significant associations between the markers and RRKN resistance-associated traits, these associations were spurious as the LOD score was below the threshold limit. This indicates that PR possesses novel genomic regions for resistance to RRKN as it does not possess any of the earlier reported QTLs. [ABSTRACT FROM AUTHOR]

Published
2024
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32. Implications of tolerance to iron toxicity on root system architecture changes in rice (Oryza sativa L.).

Author

Sonu, Nandakumar, Shekharappa, Singh, Vikram Jeet, Pandey, Rakesh, Krishnan, Subbaiyan Gopala, Bhowmick, Prolay Kumar, Ellur, Ranjith Kumar, Bollinedi, Haritha, Harshitha, Bheemapura Shivakumar, Yadav, Sunaina, Beniwal, Ravina, Nagarajan, Mariappan, Singh, Ashok Kumar, and Vinod, Kunnummal Kurungara

Subjects
IRON, ACID soils, PLANT growth, GENOTYPES, SURFACE area
Abstract

Introduction: Toxicity due to excess soil iron (Fe) is a significant concern for rice cultivation in lowland areas with acidic soils. Toxic levels of Fe adversely affect plant growth by disrupting the absorption of essential macronutrients, and by causing cellular damage. To understand the responses to excess Fe, particularly on seedling root system, this study evaluated rice genotypes under varying Fe levels. Methods: Sixteen diverse rice genotypes were hydroponically screened under induced Fe levels, ranging from normal to excess. Morphological and root system characteristics were observed. The onset of leaf bronzing was monitored to identify the toxic response to the excess Fe. Additionally, agronomic and root characteristics were measured to classify genotypes into tolerant and sensitive categories by computing a response stability index. Results: Our results revealed that 460 ppm of Fe in the nutrient solution served as a critical threshold for screening genotypes during the seedling stage. Fe toxicity significantly affected root system traits, emphasizing the consequential impact on aerial biomass and nutrient deprivation. To classify genotypes into tolerant and sensitive categories, leaf bronzing score was used as a major indicator of Fe stress. However, the response stability index provided a robust basis for classification for the growth performance. Apart from the established tolerant varieties, we could identify a previously unrecognized tolerant variety, ILS 12-5 in this study. Some of the popular mega varieties, including BPT 5204 and Pusa 44, were found to be highly sensitive. Discussion: Our findings suggest that root system damage, particularly in root length, surface area, and root volume, is the key factor contributing to the sensitivity responses under Fe toxicity. Tolerant genotypes were found to retain more healthy roots than the sensitive ones. Fe exclusion, by reducing Fe2+ uptake, may be a major mechanism for tolerance among these genotypes. Further field evaluations are necessary to confirm the behavior of identified tolerant and sensitive lines under natural conditions. Insights from the study provide potential scope for enhancement of tolerance through breeding programs as well as throw light on the role root system in conferring tolerance. [ABSTRACT FROM AUTHOR]

Published
2024
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35. Genetic Enhancement for Biotic Stress Resistance in Basmati Rice through Marker-Assisted Backcross Breeding

Author

Singh, Gagandeep, primary, Singh, Niraj, additional, Ellur, Ranjith Kumar, additional, Balamurugan, Alexander, additional, Prakash, G., additional, Rathour, Rajeev, additional, Mondal, Kalyan Kumar, additional, Bhowmick, Prolay Kumar, additional, Gopala Krishnan, S., additional, Nagarajan, Mariappan, additional, Seth, Rakesh, additional, Vinod, K. K., additional, Singh, Varsha, additional, Bollinedi, Haritha, additional, and Singh, Ashok Kumar, additional

Published
2023
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37. Impact of carbohydrate metabolism pathways on bearing habit of mango (Mangifera indica L.) genotypes

Author

Vittal, Hatkari, primary, Sharma, Nimisha, additional, Shivran, Mukesh, additional, Sharma, Neha, additional, Dubey, Anil Kumar, additional, Singh, Sanjay Kumar, additional, Sharma, Radha Mohan, additional, Singh, Bikram Pratap, additional, Bollinedi, Haritha, additional, Meena, Mahesh Chand, additional, Pandey, Rakesh, additional, and Gutam, Sridhar, additional

Published
2023
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41. Rootstock-mediated carbohydrate metabolism, nutrient contents, and physiological modifications in regular and alternate mango (Mangifera indica L.) scion varieties

Author

Vittal, Hatkari, primary, Sharma, Nimisha, additional, Dubey, Anil Kumar, additional, Shivran, Mukesh, additional, Singh, Sanjay Kumar, additional, Meena, Mahesh Chand, additional, Kumar, Nirmal, additional, Sharma, Neha, additional, Singh, Nisha, additional, Pandey, Rakesh, additional, Bollinedi, Haritha, additional, Singh, Bikram Pratap, additional, and Sharma, Radha Mohan, additional

Published
2023
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45. Genome-wide association study reveals novel genomic regions governing agronomic and grain quality traits and superior allelic combinations for Basmati rice improvement

Author

Abhijith, Krishnan P., primary, Gopala Krishnan, S., additional, Ravikiran, Kuram Tirumala, additional, Dhawan, Gaurav, additional, Kumar, Pankaj, additional, Vinod, Kunnummal Kurungara, additional, Bhowmick, Prolay Kumar, additional, Nagarajan, Mariappan, additional, Seth, Rakesh, additional, Sharma, Ritesh, additional, Badhran, Sourav Kumar, additional, Bollinedi, Haritha, additional, Ellur, Ranjith Kumar, additional, and Singh, Ashok Kumar, additional

Published
2022
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46. From farm to plate: Spatio-temporal characterization revealed compositional changes and reduced retention of γ-oryzanol upon processing in rice

Author

Ghosh, Swarnadip, Bollinedi, Haritha, Gopala Krishnan, S., Kundu, Aditi, Singh, Anupama, Bhowmick, Prolay Kumar, Singh, Archana, Nagarajan, Mariappan, Vinod, Kunnummal Kurungara, Ellur, Ranjith Kumar, and Singh, Ashok Kumar

Subjects
Nutrition and Dietetics, Endocrinology, Diabetes and Metabolism, Food Science
Abstract

BackgroundAntioxidants detain the development and proliferation of various non-communicable diseases (NCDs). γ-oryzanol, a group of steryl ferulates and caffeates, is a major antioxidant present in rice grain with proven health benefits. The present study evaluated the distribution and dynamics of γ-oryzanol and its components in spatial and temporal scales and also delineated the effect of processing and cooking on its retention.MethodsSix rice varieties (four Basmati and two non-Basmati) belonging to indica group were analyzed at spatial scale in four different tissues (leaf blades, leaf sheaths, peduncle and spikelets) and temporal scale at three developmental stages (booting, milky and dough). Additionally, the matured grains were fractioned into husk, embryo, bran, and endosperm to assess differential accumulation in these tissues. Further, milling and cooking of the samples was done to assess the retention upon processing. After extraction of γ-oryzanol by solvent extraction method, individual components were identified by UPLC-QToF-ESI-MS and quantified by RP-HPLC.ResultsThe non-seed tissues were significantly different from the seed tissues for composition and quantitative variation of γ-oryzanol. Cycloartenyl caffeate was predominant in all the non-seed tissues during the three developmental stages while it showed significant reduction during the growth progression toward maturity and was totally absent in the matured grains. In contrary, the 24-methylenecycloartanyl ferulate, campesteryl ferulate and β-sitosteryl ferulate showed significant increment toward the growth progression to maturity. Milling caused significant reduction, retaining only an average of 58.77% γ-oryzanol. Cooking of brown rice in excess water showed relatively lower average retention (43.31%) to samples cooked in minimal water (54.42%). Cooked milled rice showed least mean retention of 21.66%.ConclusionThe results demonstrate prominent compositional variation of γ-oryzanol during different growth stages. For the first time, the study demonstrated that ferulate esters of γ-oryzanol were predominant in the seed tissues while caffeate esters were dominant in non-seed tissues. Basmati cultivars show differential expression of γ-oryzanol and its components compared to non-Basmati cultivars. Cooking in excess water causes maximum degradation of γ-oryzanol. Post-harvest losses due to milling and cooking indicate the necessity of biofortification for γ-oryzanol content in rice grain.

Published
2022

49. Quantitative trait loci for stay‐greenness and agronomic traits provide new insights into chlorophyll homeostasis and nitrogen use in rice.

Author

Archana, Ramakrishnappa, Vinod, Kunnummal Kurungara, Gopala Krishnan, Subbaiyan, Vadhana, Elangovan Devi Chandra, Bhowmick, Prolay Kumar, Singh, Vikram Jeet, Ellur, Ranjith Kumar, Sathee, Lekshmy, Mandal, Pranab Kumar, Bollinedi, Haritha, Nanda Kumar, Shekharappa, Sonu, Nagarajan, Mariappan, and Singh, Ashok Kumar

Subjects
LOCUS (Genetics), CHLOROPHYLL, HOMEOSTASIS, FLOWERING time, GRAIN yields, NITROGEN
Abstract

Functional stay‐green (FSG) is characterized by delayed senescence during the reproductive stage in rice. A recombinant inbred line (RIL) population derived from 'Pusa 677'/'PSG16' was used to study the genetics of FSG in a rice mutant, 'PSG16'. The RILs exhibited significant variation under two N regimes for agro‐morphological traits, leaf chlorophyll content, flowering time, yield components and nitrogen (N) use. Using a genome wide linkage map spanning 1910.8 cM with 104 polymorphic markers, we have mapped six major quantitative trait loci (QTLs). One robust QTL on chromosome 1 was associated consistently across different N regimes with chlorophyll content and flowering time. The QTL on chromosome 7 was associated with grain number, whereas the QTL on chromosome 6 was found related to N harvest index and spikelet fertility. Although 'PSG16' showed a clear advantage in grain yield as well as having better N assimilation, we could not establish a direct genetic relationship SG trait and N use. Based on the QTL information, FSG trait of 'PSG16' could be useful in deciphering multiple stress responses in rice. [ABSTRACT FROM AUTHOR]

Published
2023
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50. Novel quantitative trait loci for yield and yield related traits identified in Basmati rice (Oryza sativa).

Author

Malik, Ankit, Kumar, Aruna, Ellur, Ranjith Kumar, Gopala Krishnan, Subbaiyan, Vinod, Kunnummal Kurungara, Dixit, Deepshikha, Nagarajan, Mariappan, Bhowmick, Prolay Kumar, Bollinedi, Haritha, Singh, Nagendra Kumar, and Singh, Ashok Kumar

Subjects
LOCUS (Genetics), RICE, PLANT breeding, GRAIN yields, GENETIC markers, GENE mapping
Abstract

Increasing crop productivity is one of the prime goals of crop breeding research. Rice grain yield is a complex quantitative trait governed by polygenes. Although several QTLs governing grain yield traits have been reported and limited attempts have been made to map QTLs for grain yield parameters in Basmati rice. A population from the cross Sonasal and Pusa Basmati 1121 comprising 352 RILs was generated through the single seed descent method. A total of 12 QTLs governing yield and yield‐related traits were mapped on six chromosomes, namely, 1, 2, 3, 7, 8 and 9, of which five QTLs were novel. We identified a novel and robust epistatic QTL (qPH1.1 and qPL1.1) governing plant height and panicle length, flanked by the markers RM5336‐RM1 on chromosome 1. The gene encoding brassinosteroid insensitive 1‐associated receptor kinase 1 precursor is the putative candidate gene underlying this epistatic QTL. Another novel QTL, qNT3.1, governing tiller number was bracketed to a region of.77 Mb between the markers RM15247 and RM15281 on chromosome 3. Of the 57 annotated gene models, Os03g0437600 encoding alpha/beta‐fold hydrolase, a homologous to AtKai2 is a putative candidate gene underlying the novel QTL qNT3.1. The other QTLs such as qDFF1.1 governing days to 50% flowering co‐localizes with the gene Ghd7, QTL for plant height qPH1.2 co‐localizes with the gene sd1, the QTLs for panicle length co‐localizes with FUWA and DEP2, the QTL for tiller number co‐localizes with OsRLCK57 and QTLs for thousand‐grain weight co‐localize with the major gene GS3. The QTLs identified in the current study can be effectively used in marker‐assisted selection for developing Basmati rice varieties with a higher yield. [ABSTRACT FROM AUTHOR]

Published
2023
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