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
Mohapatra, T.
- DBT Propelled National Effort in Creating Mutant Resource for Functional Genomics in Rice
Abstract Views :326 |
PDF Views:102
Authors
S. V. Amitha Mithra
1,
M. K. Kar
2,
T. Mohapatra
1,
S. Robin
3,
N. Sarla
4,
M. Seshashayee
5,
K. Singh
6,
A. K. Singh
7,
N. K. Singh
1,
R. P. Sharma
1
Affiliations
1 ICAR-National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi 110 012, IN
2 ICAR-National Rice Research Institute, Cuttack 753 006, IN
3 Tamil Nadu Agricultural University, Coimbatore 641 003, IN
4 ICAR-Indian Institute Rice Research, Hyderabad 500 030, IN
5 University of Agricultural Sciences, Bengaluru 560 065, IN
6 Punjab Agricultural University, Ludhiana 500 030, IN
7 ICAR-Indian Agricultural Research Institute, New Delhi 110 012, IN
1 ICAR-National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi 110 012, IN
2 ICAR-National Rice Research Institute, Cuttack 753 006, IN
3 Tamil Nadu Agricultural University, Coimbatore 641 003, IN
4 ICAR-Indian Institute Rice Research, Hyderabad 500 030, IN
5 University of Agricultural Sciences, Bengaluru 560 065, IN
6 Punjab Agricultural University, Ludhiana 500 030, IN
7 ICAR-Indian Agricultural Research Institute, New Delhi 110 012, IN
Source
Current Science, Vol 110, No 4 (2016), Pagination: 543-548Abstract
In 2007, with the help of DBT, a research project to create mutant resources for functional genomics in rice was launched through a national initiative involving ICAR-National Research Centre on Plant Biotechnology, New Delhi; ICAR-Indian Agricultural Research Institute, New Delhi; Tamil Nadu Agricultural University, Coimbatore; ICAR-Indian Institute of Rice Research, Hyderabad; University of Agricultural Sciences, Bangalore and Punjab Agricultural University, Ludhiana. Genetically well-defined material is a prerequisite for functional genomics. Thus, the project aimed to generate EMS mutants in the background of an upland and short duration aus genotype, Nagina22, characterize the mutants and use them in crop improvement. As of now, nearly 85,000 rice M2 mutant populations have been created under the project. Based on field phenotyping, gain and or loss of function mutants for tolerance to herbicide spray, drought, salinity and resistance to rice leaf and panicle blast, sheath blight and high phosphorus (P) use efficiency under low P field have been identified. Notably, the herbicide-tolerant mutant identified is under the process of registration for distribution to public and private rice breeders under appropriate material transfer agreement. Besides this, the project also aims to serve as a 'National Repository of rice EMS mutant resource' for the researchers involved in rice biology and improvement in the country.Keywords
EMS Mutagenesis, Mutant Resources, Nagina22, Rice.References
- International Rice Genome Sequencing Project, The map-based sequence of the rice genome. Nature, 2005, 436, 793–800.
- Singh, N. K. et al. The first draft of the pigeonpea genome sequence. J. Plant Biochem. Biotechnol., 2011, 21, 98–112.
- Jain, M. et al., A draft genome sequence of the pulse crop chickpea (Cicer arietinum L.). Plant J., 2013, 74(5), 715–729; doi: 10.1111/tpj.12173.
- The 3,000 rice genomes project. GigaScience, 2014, 3, 7; doi:10.1186/2047-217X-3-7.
- Zhao, K. et al., Genome-wide association mapping reveals a rich genetic architecture of complex traits in Oryza sativa. Nat. Commun., 2011, 2, 467; doi:10.1038/ncomms1467.
- Kumar, V. et al., Genome-wide association mapping of salinity tolerance in rice (Oryza sativa). DNA Res., 2015, 22(2), 133–145; doi:10.1093/dnares/dsu046.
- Singh, N. et al., Single-copy gene based 50 K SNP chip for genetic studies and molecular breeding in rice. Sci. Rep., 2015, 5, 11600; doi:10.1038/srep11600.
- Agarwal, P., Parida, S. K., Raghuvanshi, S., Kapoor, S., Khurana, P., Khurana, J. P. and Tyagi, A. K., Rice improvement through genome-based functional analysis and molecular breeding in India. Rice, 2016, 9, 1; doi:10.1186/s12284-015-0073-2.
- Hirochika, H. et al., Rice mutant resources for gene discovery. Plant Mol. Biol., 2004, 54, 325–334.
- Jeon, J. S. et al., T-DNA insertional mutagenesis for functional genomics in rice. Plant J., 2000, 22, 561–570.
- Krishnan, A. et al., Mutant resources in rice for functional genomics of the grasses. Plant Physiol., 2009, 149, 165–170.
- Wang, N., Long, T., Yao, W., Xiong, L., Zhang, Q. and Wu, C., Mutant resources for the functional analysis of the rice genome. Mol. Plant., 2013, 6(3), 596–604.
- Zhang, Q., Li, J., Xue, Y., Han, B. and Deng, X. W., Rice 2020: a call for an international coordinated effort in rice functional genomics. Mol. Plant., 2008, 1, 715–719.
- Mohapatra, T. et al., EMS induced mutants of upland rice variety Nagina22: generation and characterization. Proc. Indian Natl. Sci. Acad., 2014, 80, 163–172.
- Greene, E. A. et al., Spectrum of chemically induced mutations from a large-scale reverse-genetic screen in Arabidopsis. Genetics, 2003, 164, 731–740.
- Wu, J. L. et al., Chemical and irradiation-induced mutants of indica rice IR64 for forward and reverse genetics. Plant Mol. Biol., 2005, 59, 85–97.
- Till, B. J. et al., Discovery of chemically induced mutations in rice by TILLING. BMC Plant Biol., 2007, 7, 19.
- Ziska, L. H., Manalo, P. A. and Ordonez, R. A., Intraspecific variation in the response of rice (Oryza sativa L.) to increased CO2 and temperature: growth and yield response of 17 cultivars. J. Exp. Bot., 1996, 47, 1353–1359.
- Vijaya Kumar, R. and Virmani, S. S., Genetic analysis of wide compatibility trait in rice. Genome (Suppl. 1), 1988, 30, 468.
- Selote, D. S. and Chopra, R. K., Drought induced spikelet sterility is associated with an inefficient antioxidant defense in rice panicles. Physiol. Plant., 2004, 121, 462–471.
- Jagadish, S. V. K., Cairns, J., Lafitte, R., Wheeler, T. R., Price, A. H. and Craufurd, P. Q., Genetic analysis of heat tolerance at anthesis in rice (Oryza sativa L.). Crop Sci., 2010, 50, 1633–1641.
- Rang, Z. W., Jagadish, S. V. K., Zhou, Q. M., Craufurd, P. Q. and Heuer, S., Effect of heat and drought stress on pollen germination and spikelet fertility in rice. Env. Exp. Bot., 2011, 70, 58–65.
- Sidhu, G. S., Khush, G. S. and Medrano, F. G., A dominant gene in rice for resistance to white-backed planthopper and its relationship to other plant characteristics. Euphytica, 1979, 28, 227–232.
- Lima, J. M. et al., Multiple morpho-physiological, anatomical and transcriptional alterations in a mutant of upland rice variety Nagina22 showing enhanced moisture-deficit stress tolerance. AOB plants, 2015; doi:10.1093/aobpla/plv023.
- Poli, Y. et al., Characterization of a Nagina22 rice mutant for heat tolerance and mapping of yield traits. Rice, 2013, 6, 36.
- Panigrahy, M., Sarla, N., Rao, D. N. and Rajeshwari, R., Heat tolerance in stay green mutants of rice cv. Nagina22 is associated with reduced accumulation of reactive oxygen species. Biol. Plant., 2011, 55(4), 721–722.
- Kulkarni, K. P. et al., A substitution mutation in OsCCD7 cosegregates with dwarf and increased tillering phenotype in rice. J. Genet., 2014, 93.
- Abe, A. et al., Genome sequencing reveals agronomically important loci in rice using MutMap. Nat. Biotechnol., 2012, 30, 174– 178.
- Fekih, R. et al., MutMap+: genetic mapping and mutant identification without crossing in rice. PLoS One, 2013, 10:8(7), e68529; doi:10.1371/journal.pone.0068529.
- Chen, Z. et al., Cloning of a rice male sterility gene by a modified MutMap method. Hereditas (Beijing), 2014, 36(1), 85–93.
- Takagi, H. et al., MutMap accelerates breeding of a salt-tolerant rice cultivar. Nat. Biotechnol., 2015, 33(5), 445–449.
- Takagi, H. et al., MutMap-Gap: whole-genome resequencing of mutant F2 progeny bulk combined with de novo assembly of gap regions identifies the rice blast resistance gene Pii. New Phytol., 2013, 200(1), 276–283; doi:10.1111/nph.12369.
- India’s Evergreen Revolution in Cereals
Abstract Views :245 |
PDF Views:76
Authors
Affiliations
1 ICAR-Central Arid Zone Research Institute, Jodhpur 342 003, IN
2 Punjab Agricultural University, Ludhiana 141 004, IN
3 Indian Council of Agricultural Research, New Delhi 110 014, IN
1 ICAR-Central Arid Zone Research Institute, Jodhpur 342 003, IN
2 Punjab Agricultural University, Ludhiana 141 004, IN
3 Indian Council of Agricultural Research, New Delhi 110 014, IN
Source
Current Science, Vol 116, No 11 (2019), Pagination: 1805-1808Abstract
The term ‘Green Revolution’ (GR) is used to highlight an unprecedented increase in wheat production in India during 1968–72. The critics of GR allege that there is technology fatigue, especially after 1980s. The present study was undertaken to analyse the trends in productivity of major cereals and compare yield gains during the GR era and post-GR era. The period of 68 years since 1950 was divided in four phases: pre-GR era (1950–66) referred to as phase I, GR era (1967–83) as phase II, post-GR era of 1984–2000 as phase III and post-GR era of 2001–17 as phase IV. The annual rate of gain in productivity (kg/ha/yr) in each phase was estimated by linear regression. The annual gain in wheat productivity in phase III (53.1 kg/ha) was 30% higher than that in the GR era (41.0 kg/ha). In rice, the productivity gains increased consistently: annual gain in phase III (32.3 kg/ha) and phase IV (41.6 kg/ha) was 68% to 117% respectively, higher than that in the GR era (19.2 kg/ha). The rate of gain in productivity of maize and pearl millet in phases III and IV was 188–530% higher in comparison to the GR phase. The progress can largely be attributed to development and adoption of improved cultivars with higher yield potential and crop management technologies. The analysis provided conclusive evidence of India experiencing evergreen revolution in major cereals.Keywords
Cereals, Crop Productivity, Green Revolution, Improved Cultivars.References
- Byerlee, D., Modern varieties, productivity and sustainability: recent experience and emerging challenges. World Dev., 1996, 24, 697– 718.
- Singh, I. J., Rai, K. N. and Karwasrea, J. C., Regional variations in agricultural performance in India. Indian J. Agric. Econ., 1997, 52, 374–386.
- Pingali, P. L., Green revolution: impacts, limits, and the path ahead. Proc. N.Y. Acad. Sci., 2012, 109, 12302–12308.
- Narayanamoorthy, A., Deceleration in agricultural growth: technology fatigue or policy fatigue? Econ. Polit. Wkly, 2007, 42, 2375– 2377.
- Singh, S. K., Saxena, R., Porwal, A., Neetu and Ray, S. S., Assessment of hailstorm damage in wheat crop using remote sensing. Curr. Sci., 2017, 112, 2095–2100.
- Richaria, R. H. and Mishro, B., The Japonica × Indica hybridization project in rice – an attempt for increased rice production. J. Biol. Sci., 1959, 2, 35–47.
- Dhillon, B. S. and Malhi, N. S., Maize breeding in India – retrospective analysis and prospects. Indian J. Plant Genet. Resour., 2006, 19, 327–345.
- Yadav, O. P. et al., Genetic improvement of maize in India – retrospect and prospects. Agric. Res., 2015, 4, 325–338.
- Yadav, O. P. and Rai, K. N., Genetic improvement of pearl millet in India. Agric. Res., 2013, 2, 275–292.