Showing 3 results for Naik
R. Kumar, S. Yadav, D. Shrinivas, A. Kumar Srivastava, V. Shitole, G. R. Naik,
Volume 17, Issue 5 (9-2015)
Abstract
Pigeonpea (Cajanus cajan (L) Millsp.) is a drought tolerant legume widely grown in the arid and semi-arid tropics of the world which possesses a deep and extensive root system that succors a number of important physiological and metabolic functions to cope with drought. Application of available functional genomics approaches to improve productivity under water deficit requires a better understanding of the mechanisms involved during pigeonpea’s response to water deficit stress. In order to identify the genes associated with water deficit in pigeonpea, Suppression Subtractive Hybridization cDNA library was constructed from polyethylene glycol-induced water deficit young root tissues from pigeonpea and 157 high quality ESTs were generated by sequencing of 300 random clones which resulted in 95 unigenes comprising 37 contigs and 58 singlets. The cluster analysis of ESTs revealed that the majority of the genes had significant similarity with known proteins available in the databases along with unique and hypothetical/uncharacterized proteins. These differential ESTs were characterized and genes relevant to the specific physiological processes were identified. Northern blot analysis revealed the up regulation of ornithine aminotransferase, cyclophilin, DREB and peroxidase. The differentially expressed sequences are conceived to serve as a potential source of stress inducible genes of the water deficit transcriptome and hence may provide useful information to understand the molecular mechanism of water deficit management in legumes.
S. A. Savitha, S. A. Desai, S. S. Biradar, R. Naik, H. C. Lohithaswa,
Volume 18, Issue 2 (3-2016)
Abstract
A study was conducted to identify SSR markers linked to leaf rust resistance genes Lr24 and Lr28 and to be used for Marker-Assisted Selection (MAS) to transfer both genes to a widely cultivated wheat variety MP 3299 under rainfed condition. F2 individuals of the cross MP 3299×NIL PBW 343 were used for generating genotypic data employing closely linked SCAR markers S73719 and S421570 to Lr24 and Lr28, respectively, and further subjected to bulk segregant analysis. A total of 70 SSR markers that amplify sequences on long arm of chromosome 3D and long arm of chromosome 4A were used for polymorphism assay between the parents MP 3299 and NIL PBW 343. Eighteen SSRs were polymorphic between the parents, of which 10 were located on chromosome 3DL and eight on chromosome 4AL. Three SSR markers out of 18 polymorphic markers differentiated two contrasting bulks and further used for F2 genotyping. Finally, one SSR marker i.e. ‘barc 71’ linked to SCAR marker SCS73719 at a distance of 3.36 cM based on the per cent recombination frequency was identified. Thus, the newly identified SSR marker barc 71 linked to Lr24 can serve as a useful marker in gene pyramiding instead of SCAR marker SCS73719.
Shamna Aboo, Suniti Kumar Jha, Gouranga Kar, Nurnabi Meherul Alam, Ranjan Kumar Naik, Sonali Paul Mazumdar, Paritosh Biswas, Sourav Samanta,
Volume 27, Issue 3 (3-2025)
Abstract
Livelihood diversification is the key to a sustainable rural economy. The study aimed to assess livelihood diversity, determinants, and constraints among the scheduled caste families in Beraberia village of North 24 Parganas, West Bengal, to plan a foolproof developmental program. Simple random sampling was followed to select a sample size of 108 from the study area. The Simpson livelihood index formula was used to assess the level of livelihood diversification, and the Tobit model was used to find the determinants of the livelihood diversity index. A preferential ranking technique was followed to analyze the constraints in livelihood diversification. The most common livelihood activity in the study area was agriculture, with an income contribution of 60.72%. Around 66% of the households had a medium to high livelihood diversity index. The Tobit regression model result showed that income, economic motivation, and access to credit were the significant determinants of livelihood diversification in the study area. At the same time, the family dependency ratio negatively influenced the Diversification index. Further, the constraint analysis in livelihood diversification revealed that lack of capital (Rank Based Quotient, RBQ 0.77) and livelihood assets (0.75) were significant impediments to livelihood diversification. The study suggests that government bodies must prioritize credit access and capacity building among Scheduled Caste (SC) families in rural areas to create more profitable and sustainable livelihoods among the weaker sections of the society.
