6 results on '"Bhat, Rohini"'
Search Results
2. From field to fork: revitalizing underutilized alliums through value chain development.
- Author
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Kale, Rajiv B., Gavhane, Abhishek D., Gadge, Shailendra S., Gaikwad, Shivam Y., Singh, Sharadveer, Khandagale, Kiran S., Bhat, Rohini, Wayal, Sagar M., and Mahajan, Vijay
- Subjects
PERCEPTION (Philosophy) ,SENSORY perception ,VALUE chains ,PERCEPTION testing ,ALLIUM - Abstract
The genus Allium is a prominent member of the Amaryllidaceae family and encompasses approximately 1,063 species worldwide. These diverse species vary in appearance and flavor but they share biochemical similarities. Underutilized Alliums present a promising alternative to onion and garlic in various Indian regions, given their adaptability, versatile utility, and nutraceutical properties. Their adaptation in the plains of India is a great opportunity to add medicinal and nutraceutical value to Indian cuisine. Therefore, the present study aimed to evaluate the underutilized raw Allium leaves for their sensory perception by hedonic test (n = 60), consumer perceptions and willingness to purchase (n = 180), and the development and validation of value chain model (n = 30) to popularize these species in plains. For the various sensory attributes evaluated, Allium tuberosum Kazakhstan CGN-1587 emerged out to be the most suitable for its advancement into the consumer survey. The consumer perception study recorded 74.44% willingness to purchase of total respondents and a majority preference for consuming it in cooked form (38.30%). A value chain model of Allium tuberosum Kazakhstan CGN-1587 with supply chain agencies was subsequently developed. Validation of this value chain model was done with a panel of different stakeholders. Panelists perceived the value chain as highly valid, particularly in terms of economic feasibility (4.30 ± 0.70) and sustainability (4.20 ± 0.81). Thus, the present study provides valuable insights that can support and promote the use of underutilized Alliums in non-traditional areas of India. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
3. Myrosinase: insights on structural, catalytic, regulatory, and environmental interactions
- Author
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Bhat, Rohini and Dhiraj Vyas
- Subjects
food and beverages - Abstract
Glucosinolate–myrosinase is a substrate-enzyme defense mechanism present in Brassica crops. This binary system provides the plant with an efficient system against herbivores and pathogens. For humans, it is well known for its anti-carcinogenic, anti-inflammatory, immunomodulatory, anti-bacterial, cardio-protective, and central nervous system protective activities. Glucosinolate and myrosinase are spatially present in different cells that upon tissue disruption come together and result in the formation of a variety of hydrolysis products with diverse physicochemical and biological properties. The myrosinase-catalyzed reaction starts with cleavage of the thioglucosidic linkage resulting in release of a D-glucose and an unstable thiohydroximate-O-sulfate. The outcome of this thiohydroximate-O-sulfate has been shown to depend on the structure of the glucosinolate side chain, the presence of supplementary proteins known as specifier proteins and/or on the physiochemical condition. Myrosinase was first reported in mustard seed during 1939 as a protein responsible for release of essential oil. Until this date, myrosinases have been characterized from more than 20 species of Brassica, cabbage aphid, and many bacteria residing in the human intestine. All the plant myrosinases are reported to be activated by ascorbic acid while aphid and bacterial myrosinases are found to be either neutral or inhibited. Myrosinase catalyzes hydrolysis of the S-glycosyl bond, O-β glycosyl bond, and O-glycosyl bond. This review summarizes information on myrosinase, an essential component of this binary system, including its structural and molecular properties, mechanism of action, and its regulation and will be beneficial for the research going on the understanding and betterment of the glucosinolate–myrosinase system from an ecological and nutraceutical perspective.
- Published
- 2019
- Full Text
- View/download PDF
4. Detection of QTL for panicle architecture in $$\hbox {F}_{2}$$ population of rice
- Author
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Bhat, Rohini, primary, Singh, Anil Kumar, additional, Salgotra, Romesh Kumar, additional, Sharma, Manmohan, additional, Mushtaq, Muntazir, additional, Bagati, Sreshti, additional, Hangloo, Sharmishta, additional, and Singh, Amrinder, additional
- Published
- 2019
- Full Text
- View/download PDF
5. Detection of QTL for panicle architecture in F2 population of rice.
- Author
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BHAT, ROHINI, SINGH, ANIL KUMAR, SALGOTRA, ROMESH KUMAR, SHARMA, MANMOHAN, MUSHTAQ, MUNTAZIR, BAGATI, SRESHTI, HANGLOO, SHARMISHTA, and SINGH, AMRINDER
- Abstract
Panicle traits are the most important agronomic characters which directly relate to yield in rice. Panicle length (PL) being one of the major components of rice panicle structure is controlled by quantitative trait loci (QTLs). In our research, conducted at Research Farmof SKUAST-J, crosses of parental linesK343 and DHMAS were made for generating F2 mapping population, which were then transplanted into the field using augmented design-I. The F2 population was used for phenotypic evaluation, development of linkage map and identification of QTLs on the chromosomes by using SSR markers. A total of 450 SSR markers were used for screening both the parents of which 53 highly polymorphic markers were selected and used for genotyping of 233 genotypes of F2 population. Linkage map was generated using MAPMAKER/EXP3.0 software, seven linkage groups were found distributed on 11 chromosomes of rice. QTLs were detected using QTL Cartographer (v2.5) software. Based on 1000 permutation tests, a logarithm of odds (LOD) threshold value 2.0 and 3.0 was set. Composite interval mapping was used to map QTLs in populations derived from bi-parental crosses. The phenotypic data, genotypic data and the genetic linkage map generated identified total three QTLs of which one was identified for PL qPL2, located at 85.01 cM position with 2.1 LOD value and in between the marker intervals RM324–RM208, this QTL explained the phenotype variation by 4.36%. The other two QTLs were identified for spikelet density (SD) qSD3.1 and qSD3.2, located at 28.91 and 39.51 cM, respectively, both with a flanking marker RM6832 on chromosome 3. The LODvalue and phenotypic variation explained for qSD3.1 and qSD3.2 was 3.00 and 3.25; 9.70 and 12.34% respectively. The reported QTLs identified in the study suggested a less diversity in the parents used and also the rejection of not so useful markers from the used set of markers for PL and SD. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
6. Detection of QTL for panicle architecture in F 2 population of rice.
- Author
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Bhat R, Singh AK, Salgotra RK, Sharma M, Mushtaq M, Bagati S, Hangloo S, and Singh A
- Subjects
- Chromosome Mapping, Genetic Linkage, Genotype, Lod Score, Oryza classification, Phenotype, Polymorphism, Genetic, Repetitive Sequences, Nucleic Acid, Genetics, Population, Oryza genetics, Quantitative Trait Loci
- Abstract
Panicle traits are the most important agronomic characters which directly relate to yield in rice. Panicle length (PL) being one of the major components of rice panicle structure is controlled by quantitative trait loci (QTLs). In our research, conducted at Research Farm of SKUAST-J, crosses of parental lines K343 and DHMAS were made for generating F
2 mapping population, which were then transplanted into the field using augmented design-I. The F2 population was used for phenotypic evaluation, development of linkage map and identification of QTLs on the chromosomes by using SSR markers. A total of 450 SSR markers were used for screening both the parents of which 53 highly polymorphic markers were selected and used for genotyping of 233 genotypes of F2 population. Linkage map was generated using MAPMAKER/EXP3.0 software, seven linkage groups were found distributed on 11 chromosomes of rice. QTLs were detected using QTL Cartographer (v2.5) software. Based on 1000 permutation tests, a logarithm of odds (LOD) threshold value 2.0 and 3.0 was set. Composite interval mapping was used to map QTLs in populations derived from bi-parental crosses. The phenotypic data, genotypic data and the genetic linkage map generated identified total three QTLs of which one was identified for PL qPL2, located at 85.01 cM position with 2.1 LOD value and in between the marker intervals RM324-RM208, this QTL explained the phenotype variation by 4.36%. The other two QTLs were identified for spikelet density (SD) qSD3.1 and qSD3.2, located at 28.91 and 39.51 cM, respectively, both with a flanking marker RM6832 on chromosome 3. The LOD value and phenotypic variation explained for qSD3.1 and qSD3.2 was 3.00 and 3.25; 9.70 and 12.34% respectively. The reported QTLs identified in the study suggested a less diversity in the parents used and also the rejection of not so useful markers from the used set of markers for PL and SD.- Published
- 2019
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