Refine your search
Collections
Co-Authors
Journals
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Mondal, Biswajit
- QTL Mapping for Early Ground Cover in Wheat (Triticum aestivum L.) under Drought Stress
Abstract Views :225 |
PDF Views:105
Authors
Biswajit Mondal
1,
Anupam Singh
2,
Aneeta Yadav
3,
Ram Sewak Singh Tomar
4,
Vinod
5,
Gyanendra Pratap Singh
6,
Kumble Vinod Prabhu
7
Affiliations
1 Division of Crop Improvement, Indian Institute of Pulses Research, Kanpur 208 024, IN
2 Bioseeds Research Pvt Ltd, ICRISAT Campus, Hyderabad 500 033, IN
3 Department of Genetics and Plant Breeding, College of Agriculture, GB Pant University of Agriculture and Technology, Pantnagar 263 145, IN
4 ICAR-National Research Center for Plant Biotechnology, Pusa, New Delhi 110 012, IN
5 Division of Genetics, Indian Agricultural Research Institute, Pusa, New Delhi 110 012, IN
6 Indian Institute of Wheat and Barley Research, Karnal 132 001, IN
7 Directorate of Research, Indian Agricultural Research Institute, Pusa, New Delhi 110 012, IN
1 Division of Crop Improvement, Indian Institute of Pulses Research, Kanpur 208 024, IN
2 Bioseeds Research Pvt Ltd, ICRISAT Campus, Hyderabad 500 033, IN
3 Department of Genetics and Plant Breeding, College of Agriculture, GB Pant University of Agriculture and Technology, Pantnagar 263 145, IN
4 ICAR-National Research Center for Plant Biotechnology, Pusa, New Delhi 110 012, IN
5 Division of Genetics, Indian Agricultural Research Institute, Pusa, New Delhi 110 012, IN
6 Indian Institute of Wheat and Barley Research, Karnal 132 001, IN
7 Directorate of Research, Indian Agricultural Research Institute, Pusa, New Delhi 110 012, IN
Source
Current Science, Vol 112, No 06 (2017), Pagination: 1266-1271Abstract
Early vigour had been a target trait for developing wheat varieties tolerant to moisture stress. Manifestation of this trait depends on the relative efficiency of a genotype to utilize the residual soil moisture and dew precipitation, thereby developing a good canopy in lesser time after emergence. Lack of proper quantification system had always prevented the use of early vigour as a dependable selection parameter under field conditions. Digital imaging intervention has facilitated phenotyping this parameter in the form of early ground cover (EGC). Utilizing this phenotyping strategy, we have identified a quantitative trait locus for EGC located on the chromosome 6A (short arm) with a significant additive component under moisture stress in the north western plain zone of India.Keywords
Digital Ground Cover, Drought Tolerance, Early Ground Cover, Quantitative Trait Loci, Wheat.References
- Department of Agriculture and Cooperation, Understanding drought. In Manual for Drought Management, Ministry of Agriculture, Government of India, 2009.
- Mullan, D. J. and Garcia, M. B., Crop ground cover. In Physiological Breeding II: A Field Guide to Wheat Phenotyping (eds Pask, A. J. D. et al.), Mexico, 2012, DF, CIMMYT.
- Mullan, D. J. and Reynolds, M. P., Quantifying genetic effects of ground cover on soil water evaporation using digital imaging. Funct. Plant Biol., 2010, 37(8), 703–712.
- Federer, W. T. and Raghavarao, D., On augmented designs. Biometrics, 1975, 31, 39–45.
- Zadoks, J. C., Chang, T. T. and Konzak, C. R., A decimal code for the growth stages of cereals. Weed Res., 1974, 14, 415–421.
- R Core Team, R: A language and environment for statistical computing. R Foundation for statistical computing, Vienna, Austria, 2013; http://www.R-project.org
- Somers, D. J., Isaac, P. and Edwards, K., A high-density microsatellite consensus map for bread wheat (Triticum aestivum L.). Theor. Appl. Genet., 2004, 109, 1105–1114.
- Prabhu, K. V., Somers, D. J., Rakow, G. and Gugel, R. K., Molecular markers linked to white rust resistance in mustard Brassica juncea. Theor. Appl. Genet., 1998, 97, 865–870.
- Singh, A., Pallavi, J. K., Gupta, P. and Prabhu, K. V., Identification of microsatellite markers linked to leaf rust adult plant resistance (APR) gene Lr48 in wheat. Plant Breed., 2011, 130, 31–34.
- Lander, E. S., Green, P., Abrahamson, J., Barlow, A., Daly, M. J., Lincoln, S. E. and Newburg, I., MAPMAKER: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations. Genomics, 1987, 1, 174–218.
- Wang, S., Basten, C. J. and Zeng, Z., Windows QTL cartographer. V2.0 Program in statistical genetics, North Carolina State University, North Carolina, 2004; http://www.statgen.ncsu.edu/qtlcart/WQTLCart.html
- Evers, J. B., Vos, J, Fournier, C., Andrieu, B., Chelle, M. and Struik, P. C., Towards a genetic architectural modeling of tillering in Gramineae, as explified by spring wheat (Triticum aestivum). New Phytologist, 2005, 166, 801–812.
- Ott, A., Trautschold, B. and Sandhu, D., Using microsatellites to understand the physical distribution of recombination on soybean chromosomes. PLoS ONE, 2011, 6(7), e22306; doi:10.1371/journal.pone.0022306
- Collard, B. C. Y., Jahufer, M. Z. Z. and Pang, E. C. K., An introduction to markers, quantitative trait loci (QTL) mapping and marker-assisted selection for crop improvement: The basic concepts. Euphytica, 2005, 142, 169–196.
- Pinto, R. S., Mathews, K. L., Reynolds, M. P., McIntyre, C. L., Olivares-Villegas, J. J. and Chapman, S. C., Heat and drought adaptive QTL in a wheat population designed to minimize confounding agronomic effects. Theor. Appl. Genet., 2010, 121, 1001–1021.
- Yang, D. L., Jing, R. L., Chang, X. P. and Li, W., Quantitative trait loci mapping for chlorophyll fluorescence and associated traits in wheat (Triticum aestivum). J. Int. Plant Biol., 2007, 49(5), 646–654.
- Kumar, S., Kumar, U., Joshi, A. K., Sehgal, S. K., Vara Prasad, P. V. and Gill, B. S., Genomic characterization of drought tolerancerelated traits in spring wheat. Euphytica, 2012, 186, 265–276.
- Impact of Minimum Support Price on Paddy Cultivation: A Micro Level Assessment
Abstract Views :54 |
PDF Views:34
Authors
Affiliations
1 ICAR-National Rice Research Institute, Cuttack 753 006, IN
1 ICAR-National Rice Research Institute, Cuttack 753 006, IN
Source
Current Science, Vol 125, No 3 (2023), Pagination: 277-282Abstract
The present study aims at estimating the impact of minimum support price (MSP) on rice cultivation using a quasi-experiment-based robust research design, propensity score matching applied to household survey-based disaggregated primary data. Results indicate that MSP significantly impacts price realization in the disposal of paddy. Further, MSP has a fair influence on the marketed surplus of rice and the acreage devoted to the rice crop. The study finds important correlations between farmers’ decisions to avail MSP in rice. It has important policy implications from an implementation perspective to make it more effective to better off the paddy growers throughout the country.Keywords
Impact Evaluation, Minimum Support Price, Propensity Score Matching, Rice Cultivation.References
- Mittal, S. and Hariharan, V. K., Crop diversification by agro-climatic zones of India – trends and drivers. Indian J. Econ. Dev., 2016, 12(1), 123–132.
- Ali, S. Z., Sidhu, R. S. and Vatta, K., Effectiveness of minimum support price policy for paddy in India with a case study of Punjab. Agric. Econ. Res. Rev., 2012, 25(2), 231–242.
- Chand, R., Government intervention in foodgrain markets in the new context. Policy Paper 19, 2003, ICAR – National Institute for Agricultural Economics and Policy Research, New Delhi.
- Paul, S., Pradhan, A. K., Srivastava, S. K., Mishra, S. K. and Kumar, G. A. K., Role of women in ensuring food and nutrition security. Vigyan Varta, 2022, 3(4), 140–145.
- Aditya, K. S., Subash, S. P., Praveen, K. V., Nithyashree, M. L., Bhuvana, N. and Sharma, A., Awareness about minimum support price and its impact on diversification decision of farmers in India. Asia Pac. Policy Stud., 2017, 4(3), 514–526.
- Som, S., Roy Burman, R., Sharma, J. P., Singh, A. K. and Paul, S., Impact of mera gaon mera gaurav (MGMG) programme in Uttar Pradesh and Haryana. Indian J. Agric. Sci., 2019, 89(7), 1115–1120.
- Roy Burman, R. et al., Comparative study on extent of adoption and economic impact of NARS paddy varieties in Indo-Gangetic plains of India. Indian J. Agric. Sci., 2020, 90(2), 331–336.
- Paul, S., Tripathi, A. K., Burman, R. R. and Singh, A. K., Performance appraisal of the frontline extension system in Northeastern region of India: a policy imperative. Indian J. Agric. Sci., 2016, 86(9), 1183–1188.
- Jalan, J. and Ravallion, M., Estimating the benefit incidence of an antipoverty program by propensity score matching. J. Bus. Econ. Stat., 2003, 21(1), 19–30.
- Rosenbaum, P. and Paul, D., Observational Studies, A Springer Series in Statistics Publication, New York, 2002, 2nd edn.
- Paul, S. et al., Development of an indicator based composite measure to assess livelihood sustainability of shifting cultivation dependent ethnic minorities in the disadvantageous northeastern region of India. Ecol. Indic., 2020, 110, 105934.
- Kumar, R. K., Paul, S., Singh, P. and Chahal, V. P., Factors determining farmers’ progressiveness: a principal component analysis. Indian J. Agric. Sci., 2015, 85(8), 1026–1029.
- Sekhon, J. S., Multivariate and propensity score matching software with automated balance optimization: the matching package for R. J. Stat. Softw., 2011, 42(7), 1–52.
- Keele, L., An overview of R bounds: an R package for Rosenbaum bounds sensitivity analysis with matched data. White Paper, 2010, A Ohio State University Publication, Columbus, Ohio.
- Wickham, H., François, R., Henry, L. and Müller, K., dplyr: a grammar of data manipulation, 2022; https://dplyr.tidyverse.org, https://github.com/tidyverse/dplyr
- Sendhil, R., Ramasundaram, P. and Balaji, S. J., Transforming Indian agriculture: is doubling farmers’ income by 2022 in the realm of reality. Curr. Sci., 2017, 113(5), 848–850.
- Patil, S., Aditya and Jha, A. K., Role of financial agencies in integrating small farmers into a sustainable value chain: a synthesis-based on successful value chain financing efforts. Curr. Sci., 2016, 110(11), 2082–2090.
- Kumar, S., High level committee report on reorienting the role and restructuring of Food Corporation of India, 2015; https://fci.gov.in/app2/webroot/upload/News/Report%20of%20the%20High%20Level-%20Committee%20on%20Reorienting%20the%20Role%20and%20-Restructuring%20of%20FCI_English.pdf
- Das, R., Minimum support price in India: what determines farmers’ access. Agric. Econ. Res. Rev., 2020, 33(1), 61–69.
- Gertler, P. J., Martinez, S., Rawlings, L. B. and Vermeersch, C. M. J., Impact Evaluation in Practice, The World Bank Publication, Washington DC, 2011.
- Singh, A. K. et al., Farmers’ experience with subsidy scheme on power tillers to enhance farm mechanization in India. Indian J. Agric. Sci., 2020, 90(1), 146–151.
- Ghosh, B., Roy Burman, R., Padaria, R. N. and Paul, S., Global lens – agricultural development and poverty alleviation – cash transfer as policy instrument. Agric. Today, 2022, 25(2), 56–58.