Person: Singh, S.
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Singh
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Singh, S.
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0000-0003-2683-177X 12 results
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- Genome-wide association analysis of Mexican bread wheat landraces for resistance to yellow and stem rust(Public Library of Science, 2021) Vikram, P.; Sehgal, D.; Sharma, A.R.; Bhavani, S.; Gupta, P.; Randhawa, M.S.; Pardo, N.; Basandrai, D.; Puja Srivastava; Singh, S.; Sood, T.; Sansaloni, C.; Rahman, H.; Singh, S.
Publication - Genetic characterization for lesion mimic and other traits in relation to spot blotch resistance in spring wheat(Public Library of Science, 2020) Singh, S.; Mishra, V.K.; Kharwar, R.N.; Neeraj Budhlakoti; Ram Narayan Ahirwar; Dwijesh Chandra Mishra; Kumar, S.; Chand, R.; Kumar, U.; Kumar, S.; Joshi, A.K.
Publication - Transforming labor requirement, crop yield, and profitability with precision dry-direct seeding of rice and integrated weed management in Eastern India(Elsevier, 2020) Panneerselvam, P.; Kumar, V.; Banik, N.C.; Kumar, V.; Parida, N.; Wasim, I.; Das, A.; Pattnaik, S.; Roul, P.K.; Sarangi, D.R.; Sagwal, P.K.; Craufurd, P.; Singh, B.; Yadav, A.; Malik, R.; Singh, S.; Mcdonald, A.
Publication - Intercomparison of crop establishment methods for improving yield and profitability in the rice-wheat system of Eastern India(Elsevier, 2020) Singh, M.; Kumar, Pankaj; Kumar, V.; Solanki, I.S.; Mcdonald, A.; Kumar, A.; Poonia, S. P.; Kumar, V.; Anurag Ajay; Singh, D.K.; Singh, B.; Singh, S.; Malik, R.
Publication - Strategic use of Iranian bread wheat landrace accessions for genetic improvement: core set formulation and validation(Wiley, 2021) Vikram, P.; Franco, J.; Burgueño, J.; Huihui Li; Sehgal, D.; Saint Pierre, C.; Ortiz, C.; Singh, V.K.; Sneller, C.; Sharma, A.R.; Tattaris, M.; Guzman, C.; Peña-Bautista, R.J.; Sansaloni, C.; Campos, J.; Thiyagarajan, K.; Fuentes Dávila, G.; Reynolds, M.P.; Sonder, K.; Velu, G.; Ellis, M.H.; Bhavani, S.; Jalal Kamali, M.R.; Roostaei, M.; Singh, S.; Basandrai, D.; Bains, N.; Basandrai, A.K.; Payne, T.S.; Crossa, J.; Singh, S.
Publication - Genetic analysis revealed a quantitative trait loci (QTL2A.K) on short arm of chromosome 2A associated with yellow rust resistance in wheat (Triticum aestivum L.)(Indian Society of Genetics & Plant Breeding, 2020) Ortiz, C.; Vikram, P.; Singh, S.; Singh, S.
Publication - New frontiers in agricultural extension - volume 1(CIMMYT, 2019) Singh, A.K.; Craufurd, P.; Mcdonald, A.; Singh, A.K.; Kumar, A.; Singh, Randhir; Singh, B.; Singh, S.; Kumar, V.; Malik, R.India’s self-sufficiency in food is widely regarded as its greatest achievement since Independence. The green revolution has played a great supporting role in increasing the income of rural households (HHs) where farms are too small and ecologies are too diverse. The topdown scaling out process was fundamental to the accelerated adoption of green revolution technologies in late 1960s and 70s. However, with the current development of an extensive network of KVKs, Indian agriculture has the opportunity to use diagnostic surveys and analytical tools for planning and implementing scaling-up and scalingout strategies in a bottom-up approach rather than a top-down process. In this book, data based evidence has been utilised for monitoring, evaluation and learning (ME&L) of adoption patterns of technologies. The objective is to achieve accelerated adoption of technologies in different ways, wherein extension also acts as part of priority setting (testing and evaluation at scale plus learning/feedback), and the sum of these components brings the specific technological intervention to focus. This publication on “New Frontiers in Agricultural Extension”, based on a landscape diagnostic survey of approximately 8,000 fields, is the first in series of three publications from the BMGF-funded KVK-CSISA network project being implemented by Indian Council of Agricultural Research (ICAR). The publication provides evidence on how different technologies are being accepted by farmers and how to improve the delivery system of technologies. The challenge has been to analyse how technologies were modified as they diffused and became more reliable and acceptable by a larger proportion of farmers. The Agricultural Extension Division (ICAR), through its Agricultural Technology Application and Research Institutes (ATARIs), hoped to create an end-to-end feedback mechanism for research and extension, as well as a digital transformation based convergence program, that will define the impact pathways of its KVK system and change the way research and extension systems operate. The innovations include: methods to design spatially representative surveys, digital survey data collection tools that enable rapid data uploading, a web-based portal hosted by ICAR to make data visible and accessible, and data analysis packages in open-source software for analysis. Data have enabled us to increase the reach of KVKs, and once properly analysed such data sets can help KVKs and their parent institutions to serve in a better way and a much larger population of farmers. The first volume of this document “New Frontiers in Agricultural Extension” incorporates the main outcomes of landscape diagnostic survey (LDS) of wheat across 29 districts of Bihar and nine districts of Eastern Uttar Pradesh with 7,648 data points (wheat) and from Odisha with 400 data points (rice). The project has set a target to conduct the LDS in 110 districts across eight ATARIs with more than 40,000 data points. This volume contains the methodology involved in LDS, data from respondent farmers on the production practices of wheat and rice, and their relationship with existing recommendations. It also contains a priority setting exercise that can be shared with multi-disciplinary research teams in the research institutes including State Agricultural Universities (SAUs) and with Department of Agriculture (DoA) in the concerned state. This publication will help in developing a vibrant and faster cycle of research and extension, by improving the linkage with DoAs for better seasonal planning and linking it with research institutions for setting research priorities and strengthening the monitoring, evaluation and learning (ME&L) in NARES.
Publication - Simultaneous biofortification of wheat with zinc, iodine, selenium, and iron through foliar treatment of a micronutrient cocktail in six countries(American Chemical Society, 2019) Chunqin Zou; Yunfei Du; Rashid, A.; Ram, H.; Savasli, E.; Pieterse, P.J.; Ortiz-Monasterio, I.; Yazici, A.; Kaur, C.; Mahmood, K.; Singh, S.; Le Roux, M.R.; Kuang, W.; Onder, O.; Kalayci, M.; Cakmak, I.Field experiments were conducted on wheat to study the effects of foliar-applied iodine(I) alone, Zn (zinc) alone, and a micronutrient cocktail solution containing I, Zn, Se (selenium), and Fe (iron) on grain yield and grain concentrations of micronutrients. Plants were grown over 2 years in China, India, Mexico, Pakistan, South Africa, and Turkey. Grain-Zn was increased from 28.6 mg kg-1 to 46.0 mg-1 kg with Zn-spray and 47.1 mg-1 kg with micronutrient cocktail spray. Foliar-applied I and micronutrient cocktail increased grain I from 24 μg kg-1 to 361 μg kg-1 and 249 μg kg-1, respectively. Micronutrient cocktail also increased grain-Se from 90 μg kg-1 to 338 μg kg-1 in all countries. Average increase in grain-Fe by micronutrient cocktail solution was about 12%. The results obtained demonstrated that foliar application of a cocktail micronutrient solution represents an effective strategy to biofortify wheat simultaneously with Zn, I, Se and partly with Fe without yield trade-off in wheat.
Publication - Integrated weed management in rice: training of trainers modules(CIMMYT, 2017) Kumar, V.; Yadav, A.K.; Malik, R.; Peramaiyan, P.; Kumar, A.; Krupnik, T.J.; Das, B.N.; Dubey, S.; Gautam, U.S.; Kumar, A.; Mishra, J.S.; Pathak, H.; Panwar, G.S.; Das, A.; Pattnaik, S.; Singh, S.; Mcdonald, A.In India, weeds are responsible for about 33% of total yield losses caused by pests, whereas insects and diseases are responsible for 26% and 20%, respectively. Weeds interfere with crops by competing for light, water, nutrients and space resulting in reduction of crop yield and quality. The yield reduction in any crop through weed competition depends on several factors such as weed flora and density, duration of competition, management practices and climatic conditions. Therefore, timely weed management is crucial for attaining optimal grain yield of a crop. However, none of the single weed control methods are effective for all weeds and to manage weeds effectively and sustainably in the long run, it is essential to develop and deploy flexible integrated weed management (IWM) practices. IWM consists of physical, cultural, chemical, and biological means developed on knowledge of weed ecology and biology. In addition, costs involved in weed management constitute a significant share of total cost of production. Weeds have also become major constraints in adoption of new resource-efficient (labor, water, and tillage) technologies such as direct-seeded rice and reduced/zero-till systems. In eastern India, hand weeding has traditionally been the most common practice of weed control in rice and other cereals crops. In recent years, because of rising scarcity of labor and increasing labor wages, farmers have started adopting herbicides for weed control. However, farmers have limited knowledge on proper herbicide handling, selection of herbicide molecules and their time of application, application technologies for better efficacy, and environmental and human health risks associated with their incorrect use. Therefore, there is a need to train and develop master trainers with a strong understanding of IWM, who will help to pass on this knowledge on to farmers. This training module covers critical topics on the principles and practices of IWM, in the context of Indian agriculture, where the majority of farmers are smallholders. Strong emphasis has been placed on hands-on learning and learning by experience. This module aims to provide guidance to the training facilitators to conduct rapid two-day trainings on IWM, including step-by-step detailed instructions on how to facilitate the training, training materials required for successfully conducting different sessions, and instructions on how to conduct hands-on trainings, field visits and practical sessions. IWM principles can be better learned through multiple training sessions combined with practical sessions, or as part of a farmer field school than a single classroom session covering different aspects of IWM. Hence, while this module covers five training sessions that can be conducted consecutively over two days, they can also be delivered as individual modules, for example, during a season-long farmer field school.
Publication - Genome-wide association mapping of spot blotch resistance in wheat association mapping initiative (WAMI) panel of spring wheat (Triticum aestivum L.)(Public Library of Science, 2018) Ram Narayan Ahirwar; Mishra, V.K.; Chand, R.; Neeraj Budhlakoti; Dwijesh Chandra Mishra; Kumar, S.; Singh, S.; Joshi, A.K.Spot blotch (SB) caused by Bipolaris sorokiniana, is one of the most important diseases of wheat in the eastern part of south Asia causing considerable yield loss to the wheat crop. There is an urgent need to identify genetic loci closely associated with resistance to this pathogen for developing resistant cultivars. Hence, genomic regions responsible for SB resistance were searched using a wheat association mapping initiative (WAMI) panel involving 287 spring wheat genotypes of different origin. Genome-wide association mapping (GWAM) was performed using single nucleotide polymorphism (SNP) markers from a custom 90 K wheat SNP array. A mixed linear model (MLM) was used for assessing the association of SNP markers with spot blotch resistance in three consecutive years. Three traits were measured: incubation period, lesion number and area under the disease progress curve (AUDPC). Significant SNP markers were found linked to five, six and four quantitative trait loci (QTLs) for incubation period, lesion number and AUDPC respectively. They were detected on 11 different chromosomes: 1A, 1B, 1D, 4A, 5A, 5B, 6A, 6B, 6D, 7A, 7B with marker R2 range of 0.083 to 0.11. The greatest number of significant SNP-markers was found for lesion number and AUDPC on chromosome 6B and 5B, respectively, representing a better coverage of B-genome by SNPs. On the other hand, the most significant and largest SNP markers for incubation period were detected on 6A and 4A chromosomes indicating that this trait is associated with the A-genome of wheat. Although, QTLs for spot blotch resistance have been reported in wheat on these same chromosomes, the association of incubation period and lesion number with SB resistance has not been reported in previous studies. The panel exhibits considerable variation for SB resistance and also provides a good scope of marker-assisted selection using the identified SNP markers linked to resistant QTLs.
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