Browsing by Author "Balwant Singh"

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Effect of sowing date and inter-row annual legume green-manuring on growth, yield and quality of desi cotton (Gossypium arboreum)
(Indian Society of Agronomy, 2022) Balwant Singh; R.N. Meena; Ashvin Kumar Meena; Kamlesh Meena; A. Akash; R. Meena; Sanjay Kumar
A field experiment was conducted during the rainy (kharif) season of 2018 at the Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, to study the effect of sowing date and inter-row annual legume green-manuring on desi cotton (Gossypium arboreum L). The experiment comprised 5 sowing dates, viz. 20 April, 5 May, 20 May, 5 June, 20 June, in main plot and 4 inter-row legume green-manuring, viz. dhaincha [Sesbania bispinosa (Jacq.) Wight], sunnhemp (Crotalaria juncea L.), clusterbean [Cyamopsis tetragonoloba (L.) Taub.] and cowpea [Vigna unguiculata (L.) Walp.] in subplot. The results indicated that, growth parameters, yield attributes and quality parameters were found maximum in desi cotton when sown on 20 April and minimum when sown on 20 June. Amongst inter-row legume green-manuring, sunnhemp resulted in significantly maximum growth, yield and quality parameters. Thus, desi cotton sown on 20 April with inter-row legume green-manuring of sunnhemp was found better for improving the growth, yield and quality. © 2022, Indian Society of Agronomy. All rights reserved.
Identification of QTLs for zinc deficiency tolerance in a recombinant inbred population of rice (Oryza sativa L.)
(John Wiley and Sons Ltd, 2022) Bapsila Loitongbam; Pawan Kumar Singh; Rameswar Prasad Sah; Om Prakash Verma; Balwant Singh; Prashant Bisen; Sandhya Kulhari; Sanket R Rathi; Sameer Upadhyay; Nagendra Kumar Singh; Rabin Sahu; Rakesh Kumar Singh
BACKGROUND: Deficiency of Zn is a major soil constraint in rice plant growth and yield. Edaphic factors such as Zn deficiency in soil in relation to plant performance are still poorly understood. Here, we report promising quantitative trait loci (QTL) conferring tolerance to Zn deficiency, which were identified through biparental mapping. The experiment was conducted using the 236 F7 recombinant inbred line mapping population derived from the cross of Kinandang Patong (Zn deficiency sensitive) and A69-1 (Zn deficiency tolerant). RESULTS: A total of six QTLs (qLB-2B, qLB-4B, qPM-4B, qPM-6B, qRZC-4B, qSZC-4B) on chromosomes 2, 4 and 6 were identified for environment 1, whereas five QTLs (qLB-2 N, qLB-4 N, qPM-4 N, qRZC-4 N, qSZC-4 N) on chromosomes 2 and 4 were detected for environment 2. Among these, five major (51.30, 48.70, 28.60, 56.00, 52.00 > 10 R2) and one minor (5.40 < 10 R2) QTLs for environment 1 and four major (51.48, 50.20, 53.00, 48.00 > 10 R2) and one minor (4.44 < 10) QTLs for environment 2 for Zn deficiency tolerance with a logarithm of odd threshold value higher than 3 were identified. The QTLs (qLB-4B, qPM-4B, qRZC-4B, qSZC-4B, qLB-4 N, qPM-4 N, qRZC-4 N, qSZC-4 N) for leaf bronzing, plant mortality root zinc concentration and shoot zinc concentration identified on chromosome 4 were found to be the most promising and highly reproducible across the locations that explained phenotypic variation from 48.00% to 56.00% with the same marker interval RM6748–RM303. CONCLUSION: The new QTLs and its linked markers identified in the present study can be utilized for Zn deficiency tolerance in elite cultivars using marker-assisted backcrossing. © 2022 Society of Chemical Industry. © 2022 Society of Chemical Industry.
Wild rices of Eastern Indo-Gangetic plains of India constitute two sub-populations harbouring rich genetic diversity
(2013) Aparajita Singh; Balwant Singh; Kabita Panda; Ved Prakash Rai; Anil Kumar Singh; Sheo Pratap Singh; Sandeep Kumar Chouhan; Vandna Rai; Pawan Kumar Singh; Nagendra K. Singh
Analysis of variability and genetic structure of wild rice populations is important for the management and conservation of the valuable genetic resources. To better understand the relationships among wild rice accessions, we analyzed a subset of germplasm collected from the eastern Indo-Gangetic plains of Uttar Pradesh and Bihar. Thirty-five wild rice accessions were characterized for fourteen morphological traits and genotyped using 25 genome wide SSR markers. The accessions showed significant phenotypic variation for all the traits analyzed. Analysis of SSR markers revealed average 2.4 alleles per locus with PIC values ranging from 0.51 to 0.90 with an average of 0.79. Cluster analysis and principal component analysis clearly demarcated the wild rice accessions into two main groups representing Oryza rufipogon and Oryza nivara. The high level of genetic diversity found in wild rices of this region suggests that it is a valuable resource that should be conserved for utilization in rice breeding programs.