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Yadav, Aneeta
- QTL Mapping for Early Ground Cover in Wheat (Triticum aestivum L.) under Drought Stress
Abstract Views :340 |
PDF Views:152
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.Full Text
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.