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Singh, Alok Kumar
- A Literature Review on Demand Models in Retail Assortment Planning
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International Journal of Marketing and Business Communication, Vol 2, No 4 (2013), Pagination: 1-11Abstract
A retailer assortment is defined as the mix of products carried by a retail store. Assortment planning (AP) is a process of selecting types and number of product to be kept from a given product line and also to determine the optimal level of inventory of these products. The assortment optimization problem in the literature varies because of the type of demand models considered by the authors or because of the context of the problem considered. Various authors have developed models in past that cater to various objectives associated with shelf-space allocation and assortment decisions. It has been observed that the demand estimation in any assortment planning problem mostly considered shelf-space and substitution parameters. In the current work, the assortment planning problem dealt by various researchers primarily with shelf-space and substitution effect consideration will be reviewed.Keywords
Assortment Planning, Demand Models, Shelf-space, SubstitutionReferences
- Abbott, H. & Palekar, U. S. (2008). Retail replenishment models with display-space elastic demand. European Journal of Operational Research, 186(2), 586-607.
- Agrawal, N., Smith, S. A. & Tsay, A. A. (2002a). Multi vendor sourcing in a retial supply chain. Production and Operations Management, 11(2), 157-182.
- Agrawal, N., Smith, S. A. & Tsay, A. A. (2002b). Multi vendor sourcing ina retail supply chain. Production and Operations Management, 11(2), 157-182.
- Anderson, E. E. & Amato, H. N. (1974a). A mathematical model for simultaneously determining the optimal brand-collection and display-area allocation. Operations Research, 22(1), 13-21.
- Anderson, E. E. & Amato, H. N. (1974b). A mathematical model for simultaneously determining the optimal brand-collection and display-area allocation. Operations Research, 22(1), 13-21.
- Arkader, R. & Ferreira, C. F. (2004). Category management initiatives from the retailer perspective: A study in the Brazilian grocery retail industry. Journal of Purchasing and Supply Management, 10(1), 41-51.
- Aydin, G. & Hausman, W. H. (2009). The role of slotting fees in the coordination of assortment decisions. Production and Operations Management, 18(6), 635-652.
- Ayd?n, G. & Hausman, W. H. (2009). The role of slotting fees in the coordination of assortment decisions. Production and Operations Management, 18(6), 635-652.
- Bai, R. & Kendall, G. (2005a). An investigation of automated planograms using a simulated annealing based hyper-heuristic. Metaheuristics: Progress as Real Problem Solvers, 32(3), 87-108.
- Bai, R. & Kendall, G. (2005b). An investigation of automated planograms using a simulated annealing based hyper-heuristics. Metaheuristics: Progress as Real Problem Solver- Operations Research/Computer Science Interface Serices, 32(3), 87-108.
- Baumol, W. J. & Ide, E. A. (1956). Variety in retailing. Management Science, 3(1), 93-101.
- Bookbinder, J. H. & Zarour, F. H. (2001). Direct product profi tability and retail shelf space allocation models. Journal of Business Logistics, 22(2), 183-208.
- Borin, N. & Farris, P. (1995). A sensitivity analysis of retailer shelf management models. Journal of Retailing, 71(2), 153-171.
- Borin, N., Farris, P. W. & Freeland, J. R. (1994). A model for determining retail product category assortment and shelf-space allocation. Decision Sciences, 25(3), 359-384.
- Brown, W. & Tucker, W. (1961). The marketing center: Vanishing shelf space. Atlanta Economic Review, 11(10), 9-13.
- Bultez, A. & Naert, P. (1988a). SH. ARP: Shelf allocation for retailers’ profi t. Marketing Science, 7(3), 211-231.
- Bultez, A. & Naert, P. (1988b). SH.A.R.P. Shelf allocation for retailers’ profi t. Marketing Science, 7(3), 211-231.
- Bultez, A., Naert, P., Gijsbrechts, E. & Abelle, P. V. (1989). Asymmetric cannibalism in retail assortments. Journal of Retailing, 65(2), 153-192.
- Cachon, G. P. & Kök, A. G. (2007). Category management and coordination in retail assortment planning in the presence of basket shopping consumers. Management Science, 53(6), 934-951.
- Cachon, G. P., Terwiesch, C. & Xu, Y. (2005). Retail assortment planning in the presence of consumer search. Manufacturing and Service Operations Management, 7(4), 330-346.
- Cairns, J. P. (1963). Allocate space for maximum profi ts. Journal of Retailing, 39(2), 43-55.
- Campo, K., Gijsbrechts, E., Goossens, T. & Verhetsel, A. (2000). The impact of location factors on the attractiveness and optimal space shares of product categories. International Journal of Research in Marketing, 17(4), 255-279.
- Chen, Y. L., Chen, J. M. & Tung, C. W. (2006). A data mining approach for retail knowledge discovery with consideration of the effect of shelf-space adjacency on sales. Decision support systems, 42(3), 1503-1520.
- Chong, J. K., Ho, T. H. & Tang, C. S. (2001). A modeling framework for category assortment planning. Manufacturing and Service Operations Management, 3(3), 191-210.
- Corstjens, M. & Doyle, P. (1981). A model for optimizing retail space allocations. Management Science, 27(7), 822-833.
- Corstjens, M. & Doyle, P. (1983). A dynamic model for strategically allocating retail space. Journal of the Operational Research Society, 34(10), 943-951.
- Cox, K. (1964). The responsiveness of food sales to shelf space changes in supermarkets. Journal of Marketing Research, 1(2), 63-67.
- Cox, K. K. (1970). The effect of shelf space upon sales of branded products. Journal of Marketing Research, 7(1), 55-58.
- Desmet, P. & Renaudin, V. (1998). Estimation of product category sales responsiveness to allocated shelf space. International Journal of Research in Marketing, 15(5), 443-457.
- Dreze, X., Hoch, S. J. & Purk, M. E. (1995). Shelf management and space elasticity. Journal of Retailing, 70(4), 301-326.
- Drèze, X., Hoch, S. J. & Purk, M. E. (1994). Shelf management and space elasticity. Journal of Retailing, 70(4), 301-326.
- Europe, P. (1998). The POPAI Europe consumer buying habits study. Point-of-Purchase Advertising Institute. Co-ordination by Retail Marketing In-Store Services Limited. Watford, Herts: POPAI Europe.
- Frank, R. E. & Massy, W. F. (1970). Shelf position and space effects on sales. Journal of Marketing Research, 7(1), 59-66.
- Gajjar, H. K. & Adil, G. K. (2010). A piecewise linearization for retail shelf space allocation problem and a local search heuristic. [Article]. Annals of Operations Research, 179(1), 149-167.
- Gaur, V. & Honhon, D. (2005). Assortment Planning and Inventory Decisions under a Locational Choice Model. Working Paper, New York University.
- Gaur, V. & Honhon, D. (2006). Assortment planning and inventory decisions under a locational choice model. Management Science, 52(10), 1528-1543.
- Goyal, V., Levi, R. & Segev, D. (2009). Near-Optimal Algorithms for the Assortment Planning Problem under Dynamic Substitution and Stochastic Demand.
- Guadagni, P. M. & Little, J. D. C. (1983). A logit model of brand choice calibrated on scanner data. Marketing Science, 2(3), 203-238.
- Hansen, P. & Heinsbroek, H. (1979). Product selection and space allocation in supermarkets. European Journal of Operational Research, 3(6), 474-484.
- Hariga, M. A., Al-Ahmari, A. & Mohamed, A. R. A. (2007). A joint optimisation model for inventory replenishment, product assortment, shelf space and display area allocation decisions. European Journal of Operational Research, 181(1), 239-251.
- Irion, J., Al-Khayyal, F. & Lu, J. C. (2004). A Piecewise Linearization Framework for Retail Shelf Space Management Models. Retrieved from http://www.optimizationonline. org/DB_FILE/2004/10/967.pdf (accessed on May 6, 2006.)
- Kok, A. G. & Fisher, M. L. (2007). Demand estimation and assortment optimization under substitution: Methodology and application. Operations Research- Baltimore, 55(6), 1001-1021.
- Kök, A. G. & Fisher, M. L. (2007). Demand estimation and assortment optimization under substitution: Methodology and application. Operations Research, 55(6), 1001-1021.
- Kök, A. G., Fisher, M. L. & Vaidyanathan, R. (2009). Assortment planning: Review of literature and industry practice. Retail Supply Chain Management, 1-55.
- Kotzan, J. A. & Evanson, R. V. (1969). Responsiveness of drug store sales to shelf space allocations. Journal of Marketing Research, November, 6, 465-469.
- Lancaster, K. J. (1966). A new approach to consumer theory. The Journal of Political Economy, 74(2), 132-157.
- Lee, W. (1961). Space management in retail stores and implications to agriculture. Marketing Keys to Profi ts in the 1960’s, 523-533.
- Li, Z. (2007a). A single period assortment optimization model. Production and Operations Management, 16(3), 369-380.
- Li, Z. (2007b). A single period assortment optimization model. Production and Operations Management, 16(3), 369-380.
- Mahajan, S. & Van Ryzin, G. (2001a). Stocking retail assortments under dynamic consumer substitution. Operations Research, 49(3), 334-351.
- Mahajan, S. & van Ryzin, G. (2001b). Stocking retail assortments under dynamic consumer substitution. Operations research, 49(3), 334-351.
- McFadden, D., University of California, B. I. O. U. & Development. (1973). Conditional Logit Analysis of Qualitative Choice Behavior.
- Miller, C. M., Smith, S. A., McIntyre, S. H. & Achabal, D. D. (2010). Optimizing and evaluating retail assortments for infrequently purchased products. Journal of Retailing, 86(2), 159-171.
- Quelch, J. A. & Kenny, D. (1994). Extend profi ts, not product lines. Harvard Business Review, 72(5), 153-160.
- Rajaram, K. (2001). Assortment planning in fashion retailing: Methodology, application and analysis. European Journal of Operational Research, 129(1), 186-208.
- Ryzin, G. & Mahajan, S. (1999). On the relationship between inventory costs and variety benefi ts in retail assortments. Management Science, 45(11), 1496-1509.
- Shah, J. & Avittathur, B. (2007). The retailer multiitem inventory problem with demand cannibalization and substitution. International Journal of Production Economics, 106(1), 104-114.
- Smith, S. A. & Agrawal, N. (2000a). Management of multi-item retail inventory systems with demand substitution. Operations Research, 48(1), 50-64.
- Smith, S. A. & Agrawal, N. (2000b). Management of multi-item retail inventory systems with demand substitution. Operations Research, 48(1), 50-64.
- Taylor, C. G. (1970). Merchandise Assortment Planning: The Key to Retailing Profi t. Merchandising Division, National Retail Merchants Association.
- Urban, T. L. (1998). An inventory-theoretic approach to product assortment and shelf-space allocation. Journal of Retailing, 74(1), 15-35.
- Van Ryzin, G. & Mahajan, S. (1999). On the relationship between inventory costs and variety benefi ts in retail assortments. Management Science, 45(11), 1496-1509.
- Yang, M. H. (2001). An effi cient algorithm to allocate shelf space. European Journal of Operational Research, 131(1), 107-118.
- Yücel, E., Karaesmen, F., Salman, F. S. & Türkay, M. (2009). Optimizing product assortment under customer- driven demand substitution. European Journal of Operational Research, 199(3), 759-768.
- Zufryden, F. S. (1986). A dynamic programming approach for product selection and supermarket shelf-space allocation. Journal of the Operational Research Society, 37(4), 413-422
- Tools for Simple Sequence Repeat (SSR) Markers
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1 Krishi Vigyan Kendra (NDUAT), MAU (U.P.), IN
1 Krishi Vigyan Kendra (NDUAT), MAU (U.P.), IN
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Agriculture Update, Vol 11, No 2 (2016), Pagination: 163-172Abstract
SSRs or microsatellites are tandem repeats of 2-8nt units of DNA and are ubiquitous in all genomes studied so far. SSR markers have many advantages over the other marker systems. The first advantage is their high reproducibility, which would be the most important in genetic analysis. The second advantage of the SSR marker system is the polymorphic genetic information contents. The third advantage has to do with the co-dominant nature of SSR polymorphisms. The fourth advantage of the SSR marker system is their abundance and distribution in genomes. A fifth advantage of the SSR marker system is that SSRs are preferentially associated with non-repetitive DNA. This review focuses on some of the reasons for SSR mutations that occur due to replication or repair process which may depend on not only the motif size but also the nucleotide composition of each motif as well as orientation of repeats or position with reference to replication origin. In this review tools for SSRs available are given with their advantages and disadvantages.Keywords
SSRs Marker, RFLP, RAPD, AFLP, PCR, CID, SAT, TROLL, MISA.References
- Aggarwal, R.K., Hendre, P.S., Varshney, R.K., Bhat, P.R., Krishnakumar, V. and Singh, L. (2007). Identification, characterization and utilization of ESTderived genic microsatellite markers for genome analyses of coffee and related species. Theor. Appl. Genet., 114 : 359-372.
- Amador, M.L., Oppenheimer, D., Perea, S., Maitra, A., Cusatis, G., Iacobuzio-Donahue, C., Baker, S.D., Ashfaq, R., Takimoto, C., Forastiere, A. and Hidalgo, M. (2004). An epidermal growth factor receptor intron polymorphism mediates response to epidermal growth factor receptor inhibitors. Cancer Res., 64 (24) : 9139 - 9143.
- Andersen, J. R. and Liberstedt, T. (2003). Functional markers in plants. Trends Plant Sci., 8: 554–560.
- Bacolla, A. and Wells, R. D. (2009). Non-B DNA conformations as determinants of mutagenesis and human disease. Mol.Carcinog, 48 (4): 273-285.
- Batley, J., Hopkins, C.J., Cogan, N.O.I., Hand, M., Jewell, E., Kaur, J., Kaur, S., Li, X., Ling, A.E., Love, C., Mountford, H., Todorovic, M., Vardy, M., Walkiewicz, M., Spangenberg and Edwards, D. (2007). Identification and characterization of simple sequence repeat markers from Brassica napus expressed sequences. Mol. Ecol. Notes., 7 : 886-889.
- Bekessy, S. A., Ennos, R. A., Burgman, M. A., Newton, A. C. and Ades, P. K. (2003). Neutral DNA markers fail to detect genetic divergence in an ecologically important trait. Biol. Conserv., 110: 267–275.
- Benson, G. (1999). Tandem repeats finder: A programme to analyze DNA sequences. Nucleic Acids Res., 27: 573–580.
- Boder, P.,Deak, T., Bacso, R., Velich, I., Bisztray, G. D., Fascar, G. and Gyulai, P. (2006). Morphological and genetic investigation of medieval grape seeds. Acta Hort. (ISHS), 713–718.
- Breseghello, F. and Sorrels, M. E. (2006). Association analysis as a strategy for improvement of quantitative traits in plants. Crop Sci., 46: 1323–1330.
- Buerstmayr, H., Lemmens, M., Hartl, L., Doldi, L., Steiner, B., Stierschneider, M. and Ruckenbauer, P. (2002). Molecular mapping of QTLs for Fusarium head blight resistance in spring wheat. I. Resistance to fungal spread (Type II resistance). Theor. Appl. Genet., 104: 84–91.
- Burgess, B.,Mountford, H., Hopkins, C.J., Love, C., Ling, A.E., Spangenberg, G.C., Edwards, D. and Batley, J. (2006). Identification and characterization of simple sequence repeat (SSR) markers derived in silico fromBrassica oleracea genome shotgun sequences. Mol. Ecol. Notes., 1191-1194.
- Castelo, A.T.,Martins, W. and Gao, G.R. (2002). Troll-Tandem. Bioinformatics, 18: 634-636.
- Cervigni, G.D., Paniego, N., Díaz, M., Selva, J.P., Zappacosta, D., Zanazzi, D., Landerreche, I., Martelotto, L., Felitti, S., Pessino, S., Spangenberg, G. and Echenique, V. (2008). Expressed sequence tag analysis and development of gene associated markers in a near-isogenic plant system of Eragrostis curvula. Plant. Mol Biol., 67 : 1-10.
- Chen, C.X., Zhou, P., Choi, Y.A., Huang, S. and Gmitter, F.G. (2006). Mining and characterizing microsatellites from citrus ESTs. Theor. Appl. Genet., 112 : 1248-1257.
- Chen, X.,Cho, Y. and Mc Couch, S. (2002). Sequence divergence of rice microsatellites in Oryza and other plant species. Mol. Genet. Genomics, 268 : 331–343.
- Chen, X.F., Laudeman, T.W., Rushton, P.J., Spraggins, T.A. and Timko, M.P. (2007). CGKB:An annotation knowledge base for cowpea (Vigna unguiculata L.) methylation filtered genomic genespace sequences. BMC Bioinf., 8: 112-116.
- Coil, D. A., Vandersmissen, L., Ginevra, C., Jarraud, S., Lammertyn, E. and Anné, J. (2008). Intragenic tandem repeat variation between Legionella pneumophila strains. BMC Microbiol., 8: 218.
- Crossa, J., Burgueno, J., Dreisigacker, S., Vargas, M., HerreraFoessel, S.A., Lillemo, M., Singh, R.P., Trethowan, R., Warburton, M. and Franco, J. (2007). Association analysis of historical bread wheat germplasm using additive genetic covariance of relatives and population structure. Genetics, 177: 1889-1913.
- Cruz, F., Perez, M. and Presa, P. (2005). Distribution and abun dance of microsatellites in the genome of bivalves. Gene., 346 : 241-247.
- Cummings, C. J. and Zoghbi, H. Y. (2000). Fourteen and counting: Unraveling trinucleotide repeat diseases. Hum. Mol. Genet., 9: 909–916.
- Dieringer, D. and Schlotterer, C. (2003). Two distinct modes of microsatellite mutation processes: evidence from the complete genomic sequences of nine species. Genome. Res., 13 (10): 2242-2251.
- Eckert, K. A. and Hile, S. E. (2009). Every microsatellite is different: Intrinsic DNA features dictate mutagenesis of common microsatellites present in the human genome. Mol. Carcinog, 48(4): 379-388.
- Ennos, R. A. (1996). Utilizing genetic information in plant conservation programmes. In: Aspects of the genesis and maintenance of biological diversity; Hochberg, M.E., Clbert, J., Barbault, R., Eds.; Oxford University Press: Oxford, UK, pp. 278–291.
- Fitz, Simmons N. N., Moritz, C. and Moore, S. S. (1995). Conservation and dynamics of microsatellite loci over 300 million years of marine turtle evolution. Mol. Biol. Evol., 12: 432–440.
- Gupta, P. K., Rustgi, S., Sharma, S., Singh, R., Kumar, N. and Balyan, H. S. (2003). Transferable EST-SSR markers for the study of polymorphism and genetic diversity in bread wheat. Mol. Genet. Genomics, 270: 315–323.
- Hancock, J.M. and Santibanez-Koref, M.F. (1998). Trinucleotide expansion diseases in the context of micro- and minisatellite evolution. EMBO J. 17: 5521-5524.
- Hancock, J. M., Worthey, E.A. and Santibáñez-Koref, M.F. (2001). A role for selection in regulating the evolutionary emergence of disease-causing and other coding CAG repeats in humans and mice. Mol. Biol. Evol., 18 (6): 1014-1023.
- Holderegger, R.,Kamm, U. and Gugerli, F. (2006). Adaptive vs. neutral genetic diversity: Implications for landscape genetics. Landsci. Ecol., 21: 797–807.
- Hopkins, C.J., Cogan, N.O.I., Hand, M., Jewell, E., Kaur, J., Li, X., Lim, G.A.C., Ling, A., Love, C., Mountford, H., Todorovic, M., Vardy, M., Spangenberg, G.C., Edwards, D. and Batley, J. (2007). Sixteen new simple sequence repeat markers from Brassica juncea expressed sequences and their crossspecies amplification.Mol. Ecol. Notes., 7: 697-700.
- Jacob, K.D. and Eckert, K. A. (2007). Escherichia coli DNA polymerase IV contributes to spontaneous mutagenesis at coding sequences but not microsatellite alleles. Mutat. Res., 619 (1-2) : 93-103.
- Jewell, E., Robinson, A., Savage, D., Erwin, T., Love, C.G., Lim, G.A.C., Li, X., Batley, J., Spangenberg, G.C. and Edwards, D.( 2006) .SSR Primer and SSR Taxonomy Tree: Biome SSR discovery. Nucleic Acids Res., 34 : 656- 659.
- Kantety, R.V., Rota, M.L., Matthews, D.E. and Sorrells, M.E. (2002). Data mining for simple sequence repeats in expressed sequence tags from barely, maize, rice, sorghum and wheat. Plant Mol. Biol., 48: 501-510.
- Kashi, Y. and King, D.G. (2006). Simple sequence repeats as advantageous mutators in evolution. Trends Genet., 22(5): 253-259.
- Kehrer-Sawatzki, H. and Cooper, D. N. (2008). Molecular mechanisms of chromosomal rearrangement during primate evolution. Chromosome Res., 16(1): 41-56.
- Keniry, A.,Hopkins, C.J., Jewell, E., Morrison, B., Spangenberg, G.C., Edwards, D. and Batley, J. (2006). Identification and characterization of simple sequence repeat (SSR) markers from Fragaria x ananassa expressed sequences. Mol. Ecol. Notes., 6 : 319-322.
- Khlestkina, E.K., Than, M.H.M., Pestsova, E.G., Röder, M.S., Malyshev, S.V., Korzun, V. and Börner, A. (2004). Mapping of 99 new microsatellitederived loci in rye (Secale cereale L.) including 39 expressed sequence tags. Theor. Appl. Genet., 109 : 725-732.
- Kostia, S., Varvio, S. L., Vakkari, P. and Pulkkinen, P. (1995). Microsatellite sequences in a conifer, Pinus sylvestris.Genome, 38 : 1244–1248.
- Kota, R.,Varshney, R.K., Thiel, T., Dehmer, K.J. and Graner, A. (2001). Generation and comparison of EST-derived SSRs and SNPs in barley (Hordeum vulgare L.). Hereditas, 135 : 145-151.
- Kwon, S.,Hong, S., Son, J., Lee, J. K., Cha, Y., Eun, M. andKim, N. (2006). CACTA and MITE transposon distributions on a genetic map of rice using F15 RILs derived from Milyang 23 and Gihobyeo hybrids. Mol. Cells, 21: 360–366.
- Lee, J. R.,Hong, G. Y., Dixit, A., Chung, J. W., Ma, K. H., Lee, J. H., Kang, H. K., Cho, Y. H., Gwag, J. G. and Park, Y. J. (2008). Characterization of microsatellite loci developed for Amaranthus hypochondriacus and their cross-amplifications in wild species. Conserv. Genet. 9: 243–246.
- Liang, X., Chen, X., Hong, Y., Liu, H., Zhou, G., Li, S. and Guo, B. (2009). Utility of EST-derived SSR in cultivated peanut (Arachis hypogaea L.) and Arachis wild species. BMC Plant Biol., 9 : 35.
- Lindqvist, C., Scheen, A.C., Yoo, M.J., Grey, P., Oppenheimer, D.G., LeebensMack, J.H., Soltis, D.E., Soltis, P.S. and Albert, V.A. (2006). An expressed sequence tag (EST) library from developing fruits of an Hawaiian endemic mint (Stenogynerugosa, Lamiaceae): characterization and microsatellite markers. BMC Plant Biol., 6 : 16.
- Ling, A.E.,Kaur, J., Burgess, B., Hand, M., Hopkins, C.J., Li, X., Love, C.G., Vardy, M., Walkiewicz, M., Spangenberg, G., Edwards, D. and Batley, J. (2007). Characterization of simple sequence repeat markers derived in silico from Brassica rapa bacterial artificial chromosome sequences and their application in Brassica napus. Mol. Ecol. Notes.,7: 273-277.
- Liquori, C. L., Ricker, K., Moseley, M. L., Jacobsen, J. F., Kress, W., Naylor, S. L., Day, J. W. and Ranum, L. P. W. (2001). Myotonic dystrophy type 2 caused by a CCTG expansion in intron 1 of ZNF9. Science, 293: 864–867.
- Li, W. H. and Graur, D. (1991). Fundamentals of molecular evolution. Sinauer Pub.: Sunderland, MA, USA.
- Li, Y. C., Korol, A.B., Fahima, T., Beiles, A. and Nevo, E. (2002).Microsatellites:Genomic distribution, putative functions and mutational mechanisms: A review. Mol. Ecol., 11: 2453– 2465.
- Li, Y.C., Korol, A.B., Fahima, T. and Nevo, E. (2004). Microsatellites within genes: Structure, function, and evolution. Mol. Biol. Evol., 21: 991–1007.
- Lukusa, T. and Fryns, J. P. (2008). Human chromosome fragility. Biochem. Biophys. Acta., 1779 (1): 3-16.
- Ma, K.H.,Kim, N.S., Lee, G.A., Lee, S.Y., Lee, J.K., Yi, J.Y., Park, Y.J., Kim, T.S., Gwag, J.G. and Kwon, S.J. (2009). Development of SSR markers for studies of diversity in common buckwheat. Theor. Appl. Genet., 119: 1247–1254.
- Maia, L.C., Palmieri, D.A., Souza, V.Q., Kopp, M.M., Carvalho, F.I. and Oliveira, A.C. (2008). SSR Locator: Tool for Simple Sequence Repeat Discovery Integrated with Primer Design and PCR Simulation. Internat. J. Plant Genomics,1–9. ( doi:10.1155/ 2008/412696).
- Manen, J.F., Bouby, L., Dalnoki, O., Marinval, P., Turgay, M. and Schlumbaum, A. (2003). Microsatellites from archaeological Vitis vinifera seeds allow a tentative assignment of the geographical origin of ancient cultivars. J. Archaeol. Sci., 30: 721–729.
- Marcotte, E.M., Pellegrini, M., Yeates, T.O. and Eisenberg, D. (1999). A census of protein repeats. J. Mol. Biol., 293: 151– 160.
- Morgante, M., Hanafey, M. and Powell, W. (2002).Microsatellites are preferentially associated with nonrepetitive DNA in plant genomes. Nat. Genet., 30: 194–200.
- Morgante, M., Rafalski, A., Biddle, P., Tingey, S. and Olivieri, A.M. (1994). Genetic mapping and variability of seven soybean simple sequence repeat loci. Genome, 37: 763–769.
- Mrázek, J. (2006). Analysis of distribution indicates diverse functions of simple sequence repeats in Mycoplasma genomes. Mol. Biol. Evol., 23(7): 1370-1385.
- Peakall, R., Gilmore, S., Keys, W., Morgante, M. and Rafalski, A. (1998). Cross-species amplification of soybean (Glycine max) simple sequence repeats (SSRs) within the genus and other legume genera: Implications for the transferability of SSRs in plants. Mol. Biol. Evol., 15: 1275–1287.
- Pérez, M., Cruz, F. and Presa, P. (2005). Distribution properties of poly mononucleotide repeat in molluscan genomes. J. Hered. 96 (1) : 40-51.
- Powell, W., Morgante, M., Andre, C., Hanafey, M., Vogel, J., Tingey, S. and Rafalski, A. (1996). The comparison of RFLP, RAPD, AFLP and SSR (microsatellite) markers for germplasm analysis. Mol. Breed., 2: 225–238.
- Rico, C., Rico, I. and Hewitt, G. (1996). 470 million years of conservation of microsatellite loci among fish species. Proc. R. Soc. Lond., B., Biol. Sci., 263 : 549–557.
- Robinson, A.J.,Love, C.G., Batley, J., Barker, G. and Edwards, D. (2004). Simple sequence repeat marker loci discovery using SSR primer. Bioinfor, 20 : 1475-1476.
- Ronning, C. M., Stegalkina, S.S., Ascenzi, R.A., Bougri, O., Hart, A.L., Utterbach, T. R., Vanaken, S. E., Riedmuller, S. B., White, J. A. and Cho, J. (2003). Comparative analyses of potato expressed sequence tag libraries. Plant Physiol., 131: 419– 429.
- Scott, K. D., Eggler, P., Seaton, G., Rossetto, M., Ablett, E. M., Lee, L.S. and Henry, R. J. (2000). Analysis of SSRs derived from grape ESTs. Theor. Appl. Genet., 100 : 723–726.
- Shin, J. H., Kwon, S. J., Lee, J. K., Min, H. K. and Kim, N.S. (2006). Genetic diversity of maize kernel starch-synthesis genes with SNAPs.Genome, 49 : 1287–1296.
- Singhal, D., Gupta, P., Sharma, P., Kashyap, N., Anand, S. and Sharma, H. (2011). In-silico single nucleotide polymorphisms (SNP) mining of sorghum bicolor genome. African J.Biotechnol., 10 (4) : 580-583.
- Slavov, G. T., Howe, G. T., Gyaourova, A.V., Birkes, D. S. and Adams, W. T. (2005). Estimating pollen flow using SSR markers and paternity exclusion: Accounting for mistyping. Mol. Ecol., 14 : 3109–3121.
- Sreenu, V. B., Kumar, P., Nagaraju, J. and Nagarajam, H. A. (2007). Simple sequence repeats in mycobacterial genomes. J. Biosci., 32(1): 3-15.
- Streelman, J.T. and Kocher, T.D. (2002). Microsatellite variation associated with prolactin expression and growth of saltchallenged tilapia. Physiol. Genomics, 9: 1–4.
- Szalma, S.J., Buckler, E.S., Snook, M.E. and McMullen, M.D. (2005). Association analysis of candidate genes for maysin and chlorogenic acid accumulation in maize silks. Theor. Appl. Genet., 110: 1324–1333.
- Temnykh, S., DeClerck, G., Lukashova, A., Lipovich, L., Cartinhour, S. and McCouch, S. (2001). Computational and experimental analysis of microsatellites in rice (Oryza sativa L.) : Frequency, length variation, transposon associations and genetic marker potential.Genome Res., 11: 1441–1452.
- Thiel, T.,Michalek, W., Varshney, R.K. and Graner, A. (2003). Exploiting EST databases for the development and characterization of gene-derived SSR-markers in barley (Hordeum vulgare L.). Theor. Appl. Genet.,106 : 411-422.
- Tóth, G., Gáspári, Z. and Jurka, J. (2000). Microsatellites in different eukaryotic genomes: Survey and analysis. Genome Res., 10: 967–981.
- Van, Tienderen P. H.,De Haan, A. A., Van der Linden, C. G. and Vosman, B. (2002). Biodiversity assessment using markers for ecologically important traits. Trends Ecol. Evol., 17: 577–582.
- Varshney, R.K., Graner, A. and Sorrells, M.E. (2005). Genic microsatellite markers in plants: Features and applications. Trends Biotechnol., 23: 48–55.
- Volfovsky, N.,Haas, B.J. and Salzberg, S.L. (2001). A clustering method for repeat analysis in DNA sequences. Genome Biol., 2 (8) RESEARCH0027.
- Vuylsteke, M., Mank, R., Antonise, R., Bastiaans, E., Senior, M. L., Stuber, C. W., Melchinger, A. E., Lbberstedt, T., Xia, X. C.and Stam, P. (1999). Two high-density AFLP® linkage maps of Zea mays L.: Analysis of distribution of AFLP markers. Theor. Appl. Genet., 99: 921–935.
- Wang, Z., Weber, J. L., Zhong, G. and Tanksley, S. D. (1994). Survey of plant short tandem DNA repeats. Theor. Appl. Genet., 88: 1–6.
- White, G. and Powell, W. (1997). Cross-species amplification of SSR loci in the Meliaceae family.Mol. Ecol., 6: 1195–1197.
- Winton, L.M., Krohn, A.L. and Leiner, R.H. (2007). Microsatellite markers for Sclerotiniasubarctica nom. prov., a new vegetable pathogen of the High North. Mol. Ecol. Notes., 7:1077-1079.
- Wren, J. D., Forgacs, E., Fondon, J. W., Pertsemlidis, A., Cheng, S. Y., Gallardo, T., Williams, R. S., Shohet, R. V., Minna, J. D. and Garner, H. R. (2000). Repeat polymorphisms within gene regions: Phenotypic and evolutionary implications. Am. J. Hum. Genet., 67: 345–356.
- Yamakoshi, K., Shishido, Y. and Shimoda, N. (2005). Generation of aberrant transcripts of and free DNA ends in zebra fish no tail gene. Mar Biotechnol., 7 (3) : 163-172.
- Yu, J.K., Dake, T.M., Singh, S., Benscher, D., Li, W., Gill, B.S. and Sorrells, M.E. (2004). Development and mapping of ESTderived simple sequence repeat (SSR) markers for hexaploid wheat. Genome, 47 : 805 - 818.
- Zeng, Y.,Yang, S., Cui, H., Yang, X., Xu, L., Du, J., Pu, X., Li, Z., Cheng, Z. and Huang, X. (2009). QTLs of cold-related traits at the booting stage for NIL-RILsin rice revealed by SSR. Genes Genom., 31: 143–145.
- Zhang, X., Yue, B., Jiang, W. and Song, Z. (2009). The complete mitochondrial genome of rock carp Procypris rabaudi (Cypriniformes: Cyprinidae) and phylogenetic implications. Mol. Biol. Rep., 36 (5) : 981-191.
- http://www.gramene.org/db/searches/ssrtool, Temnykh et al., 2001).
- (http://pgrc.ipk-gatersleben.de/misa/).
- (http://www.cbcb.umd.edu/software/Repeat Finder/) . (http://www.ufpel. edu.br/).
- http://www.shrimp.ufscar.br/cid/index.php.
- (http://tandem.bu.edu/trf/trf.html) .
- (http://acpfg.imb.uq.edu.au/ssrpoly. php).
- http://www.shrimp.ufscar.br/cid/index.php
- Dual Tone Multiple Frequency (DTMF) Mobile Control Robot
Abstract Views :217 |
PDF Views:5
Authors
Affiliations
1 Dept. EEE, Dr. MGR Educational and Research Institute, IN
2 Dept. EEE, Dr. MGR Educational and Research Institute, Chennai-95, Tamilnadu, IN
3 Department of EEE, Dr. MGR Educational and Research Institute, Chennai-95, Tamilnadu, IN
1 Dept. EEE, Dr. MGR Educational and Research Institute, IN
2 Dept. EEE, Dr. MGR Educational and Research Institute, Chennai-95, Tamilnadu, IN
3 Department of EEE, Dr. MGR Educational and Research Institute, Chennai-95, Tamilnadu, IN
Source
Automation and Autonomous Systems, Vol 7, No 4 (2015), Pagination: 106-110Abstract
In the age of existing systems it is important to be able to control robots everywhere. Although many methods to remotely control robots have been devised, the methods have the problems such as the need for special devices or software to control the robots. This paper suggests a method for robotic control using the DTMF tone generated when the user pushes mobile phone keypad buttons o when connected with a remote mobile robot. This paper summarizes a the feasibility of implementing Dual-Tone, Multi-Frequency (DTMF) as an alternative mean of robotic communication to Radio Frequency (RF). Our robot is controlled by a cell phone, through this we can make our robot communicate on a large scale over a large distance even from different cities. This robot can also be used to reach the places where humans cannot reach such as small tunnels, etc.Keywords
Atmega 8 Microcontroller, DTMF Mobile.- Study of Heritability Gene Action and Combining Ability Using CMS Line in Hybrid Rice (Oryza sativa L.)
Abstract Views :195 |
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Authors
Affiliations
1 Department of Genetics and Plant Breeding, Tilak Dhari Post Graduate College, Jaunpur (U.P.), IN
1 Department of Genetics and Plant Breeding, Tilak Dhari Post Graduate College, Jaunpur (U.P.), IN
Source
International Journal of Plant Sciences, Vol 12, No 2 (2017), Pagination: 282-293Abstract
Low heritability (h2ns) estimate was observed with grain yield plant-1 and test weight indicating preponderance of non-additive gene action to govern these traits. Combining ability revealed higher specific combining ability variance than their respective general combining ability variances indicating the predominance of non-additive gene effects indicated relevance of heterosis breeding for improving the yield and yield contributing attributes. Among the testers high gca was recorded in Sarjoo 52 and Narendra Usar 3 for harvest index, grain yield plant-1, days to 50% flowering (earliness), plant height (dwarf stature), panicle bearing tillers plant-1 and biological yield. Among the female parental lines, IR 58025 was observed as a good general combiner only for seedling height, panicle length, spikelets panicle-1, test weight, biological yield palnt-1. Cross between IR 688897A X Sarjoo 52 , IR 58025 A X 21-2-5-B-1-1, IR 58025 A X Narendra Usar 3 and IR 58025 A X IR 71829-3R-73-1-2-B shown favorable per se performances and higher significant positive sca effects in related to grain yield plant-1. These combinations proved to be good hybrids based on CMS system in rice.Keywords
Heterosis, Combining Ability, Line × Tester, Rice Hybrids.References
- Adilakshmi, D. and Reddy, P.R. (2012). Combining ability analysis for yield components and physiological traits in rice. Internat. J. Plant Sci., 7 : 295-300.
- Arunachalam, V. (1974). The fallacy behind the use of modified line × tester design. Indian J. Genet., 34(2): 200-207.
- Dorosti, H. and Monajjem, S. (2014). Gene action and combining ability for grain yield and yield related traits in rice (Oryza sativa L.). J. Agric. Sci., 9:100-108.
- Hasan, M.J., Kulsum, U.K., Lipi, L.F. and Shamsuddin, A.K.M. (2013). Combining ability studies for developing new rice hybrids in Bangladesh. Bangladesh J. Bot., 42(2): 215-222.
- Kempthorne, O. (1957). An Introduction to Genetical Statistics (Ed.) John Wiley and Sons, Inc. New York, USA.
- Patial, M., Pal, D. and Kumar, J. (2016). Combining ability and gene action studies for grain yield and its component traits in barley (Hordeum vulgare L.). SABRAO J. Breed. Genet., 48 (1) 90-96.
- Prasad, S., Verma, O.P., Treepathi, N., Ashish and Yadav, P.K. (2013). Combining ability for yield and its contributing traits in rice (Oryza sativa L.) under salt affected soil. Internat. J. Sci. & Res., 6 : 1050-1054.
- Priyanka, K., Jaiswal, H.K. and Waza, S.A. (2014). Combining ability and heterosis for yield, its component traits and some grain quality parameters in rice (Oryza sativa L.). J. Appl. & Nat. Sci., 6 (2): 495-506.
- Rosamma, C.A. and Vijayakumar, N.K. (2005). Heterosis and combining ability in rice (Oryza sativa L.). Indian J. Genet., 65(2): 119-120.
- Saleem, M.Y., Mirza, J.I. and Haq, M.A. (2010). combining ability analysis for yield and related traits in basmati rice (Oryza sativa L.). Pak. J. Bot., 42(1): 627-637.
- Singh, N.K. and Kumar, Anand (2004). Combining ability analysis to identify suitable parents for heterotic rice hybrid breeding. Internat. Rice Res. Notes, 29(1): 21-22.
- Study of Heritability and Gene Action Using CMS Line in Hybrid Rice (Oryza sativa L.)
Abstract Views :232 |
PDF Views:1
Authors
Affiliations
1 Department of Genetics and Plant Breeding, Pilikothi Farm of Tilak Dhari Post Graduate College, Jaunpur (U.P.), IN
1 Department of Genetics and Plant Breeding, Pilikothi Farm of Tilak Dhari Post Graduate College, Jaunpur (U.P.), IN
Source
Asian Journal of Bio Science, Vol 12, No 2 (2017), Pagination: 122-125Abstract
The low heritability (h2ns ) estimate was observed with grain yield plant-1 and test weight indicating a preponderance of non-additive gene action to govern these traits. Combining ability revealed higher specific combining ability variance than their respective general combining ability variances indicating the predominance of non-additive gene effects indicated the relevance of heterosis breeding for improving the yield and yield contributing attributes.Keywords
Heterosis, Combining Ability, Line X Tester, Rice Hybrids.References
- Allam, C.R., Jaiswal, H.K., Qamar, A. ,Venkateshwarlu, C. and Reddy, Y.S. (2015). Variability, heritability and genetic advance studies in some indigenous genotypes of basmati rice (Oryza sativa L.). Electronic J. Plant Breed., 6 (2) : 506-511.
- Hanson, W. D. (1963). Heritability. In: Statistical genetics and plant breeding,Washington DC, USA, pp: 125-140.
- Kempthorne, O. (1957). An introduction to genetical statistics. (Ed.) John Wiley and Sons, Inc.NEWYORK, USA.
- Ketan, R. and Sarkar, G. (2014). Studies on variability, heritability, genetic advance and path analysis in some indigenous Aman rice (Oryza sativa L.) J. Crop & Weed, 10 (2) : 308-315.
- Mahmood, T., Shabbir, G., Sarfraz, M., Sadiq, M., Bhatti, M.K., Mehdi, S.M., Jamil, M. and Hassan, G. (2002). Combining ability studies in rice (Oryza sativa L.) under salinized soil conditions. Asian J. Plant Sci., 1 (2) : 88-90.
- Panse V.G. (1957).Genetics of quantitative characters in relation to plant breeding. Indian J. Genet.,17: 318-328.
- Rajput, A.S., Babu, G.S. and Bhatti, M. (2014).Genetic diversity of irrigated medium duration of rice genotypes suited for eastern plain zone of U.P. IOSR J. Agric. & Veterinary Sci.,7 : 42-45.
- Robinson, H.F., Comstock, R.E. and Harvey, P.H. (1949). Estimates of heritability and degree of dominance in corn. Agro. J., 41: 353-359.
- Singh, R.V., Maurya, D.M., Dwivedi, J.L. and Verma, O.P. (2005). Combining ability studies on yield and its components using CMS lines in rice (Oryza sativa L.).Oryza, 42(4): 306-309.
- Variability, Heritability and Genetic Advance in Rice (Oryza sativa L.)
Abstract Views :190 |
PDF Views:1
Authors
Affiliations
1 Department of Genetics and Plant Breeding, Pilikothi Farm of Tilak Dhari Post Graduate College, Jaunpur (U.P.), IN
1 Department of Genetics and Plant Breeding, Pilikothi Farm of Tilak Dhari Post Graduate College, Jaunpur (U.P.), IN
Source
Asian Journal of Bio Science, Vol 12, No 2 (2017), Pagination: 244-247Abstract
Genetic parameters for yield and its correspondent characters in rice were estimated from a trial with two CMS, twenty testers and forty hybridscross evaluated for ten characters related to yield. The highest GCV was recorded for grain yield plant-1. High heritability and the low genetic advance were recorded for grain yield plant-1, spikelet fertility, plant height, harvest index, seedling height, flag leaf area, panicle bearing tillers plant-1, test weight and panicle length suggesting apredominance of non-additive gene action in the inheritance of these traits.Keywords
Rice, Genetic Variability, Heritability, Genetic Advance.References
- Allam, C. R., Jaiswal, H.K., Qamar, A., Venkateshwarlu, Challa and Reddy, Y.S. (2015).Variability, heritability and genetic advance studies in some indigenous genotypes of basmati rice (Oryza sativa L.). Electronic J. Plant Breed., 6 : 506-511.
- Anonymous (2013). Progress report: Towards achieving food security, Directorate of Rice Research. (ICAR), Hyderabad, India, pp.1-5.
- Babu, R. V., Sandhya, K., Rani, N. S. and Chandran, R. (2006). Genetic diversity analysis using quality traits in rice genotypes. Oryza, 43 : 260-263.
- Bisne, R., Sarawagi, A.K. and Verulkar S.B. (2009). Study of heritability, genetic advance and variability for yield contributing characters in rice. Bangladesh J. Agril. Res., 34 (2) : 175-179.
- Chakraborty, Subrata and Chaturvedi, H.P. (2014).Genetic variability in upland rice (Oryza sativa L.) Genotypes of Nagaland. Indian Res. J. Genet. & Biotech., 6: 374 - 378.
- Ghara, A.G., Nematzadeh, G., Bagheri, N., Oladi, M. and Bagheri, A. (2014). Heritability and heterosis of agronomic traits in rice lines. Intl. J. Farm & Alli. Sci., 3 (1): 66-70.
- Hanson, W. D. (1963). Heritability. In: Statistical genetics and plant breeding,Washington DC, USA, pp: 125-140.
- Idris, A.E., Justin, F.J., Dagash, Y.M.I. and Abuali, A.I. (2012). Genetic variability and inter relationship between yield and yield components in some rice genotypes. American J.Exp. Agric., 2(2): 233-239.
- Kempthorne, O. (1957). An introduction to genetical statistics. (Ed.) John Wiley and Sons, Inc. NEWYORK, U.S.A.
- Ketan, R. and Sarkar, G. (2014). Studies on variability, heritability, genetic advance and path analysis in some indigenous Aman rice (Oryza sativa L.) J. Crop & Weed, 10 (2) : 308-315.
- Lingaiah, N. (2015).Genetic variability, heritability and genetic advance in rice (Oryza sativa L.). Asian J. Environ. Sci., 10: 110-112.
- Mahmood, T., Shabbir, G., Sarfraz, M., Sadiq, M., Bhatti, M.K., Mehdi, S.M., Jamil, M. and Hassan, G. (2002). Combining ability studies in rice (Oryza sativa L.) under salinized soil conditions. Asian J. Plant Sci., 1(2) : 88-90.
- Munhat, M.K., Sarawgi, A.K. and Rastogi, N.K. (2000).Gene action and combining ability for yield, grain quality and other related characters in rice.Oryza, 37(1): 1-6.
- Rai, S.K., Suresh, B.G., Rai, P.K., Lavanya, G.R., Ravi Kumar, Snadhya (2014). Genetic variability, correlation and path co-efficient studies for grain yield and other yield attributing traits in rice (Oryza sativa L.), Internat. J. Life Sci. Res.,2: 229-234.
- Rajput, A.S., Babu, G.S. and Bhatti, M. (2014).Genetic diversity of irrigated medium duration of rice genotypes suited for eastern plain zone of U.P. IOSR J. Agric. & Veterinary Sci.,7: 42-45.
- Robinson, H.F., Comstock, R.E. and Harvey, P.H.(1949). Genotypic and phenotypic correlation in corn, their importance in selection. Agron. J.,43: 282-287.
- Roy, B., Hossain, N. and Hossain, F. (2001). Genetic variability in yield components of rice (O. sativa L.). En. & Eco.,19 (1): 186-189.
- Shiva Prasad, G., Sujatha, M., Subba, R.L.V. and Chaithanya, U. (2013). Studies on variability, heritability and genetic advance for quantitative characters in rice (Oryza sativa L.). Annl Biological Res., 4 (6) : 372-375.
- Thirumeni, S. and Subramanian, M. (2000). Heterosis in coastal saline rice (Oryza sativa L.). Crop Res. Hisar, 19 (2) : 245-250.
- Tuwar, A.K., Singh, S.K.,Sharma, A. and Bhati, P.K. (2013). Appraisal of genetic variability for yield and its component characters in rice (Oryza sativa L.). Biolife, 3 : 84-89.
- Study of Combining Ability Using CMS Line in Hybrid Rice (Oryza sativa L.)
Abstract Views :301 |
PDF Views:28
Authors
Affiliations
1 Department of Genetics and Plant Breeding, Pilikothi Farm of Tilak Dhari Post Graduate College, Jaunpur (U.P.), IN
1 Department of Genetics and Plant Breeding, Pilikothi Farm of Tilak Dhari Post Graduate College, Jaunpur (U.P.), IN
Source
Asian Journal of Bio Science, Vol 13, No 1 (2018), Pagination: 1-9Abstract
Combining ability revealed higher specific combining ability variance than their respective general combining ability variances indicating the predominance of non-additive gene effects indicated relevance of heterosis breeding for improving the yield and yield contributing attributes. Among the testers high GCA was recorded in Sarjoo 52 and Narendra Usar 3 for harvest index, grain yield plant-1, days to 50% flowering (earliness), plant height (dwarf stature), panicle bearing tillers plant-1 and biological yield. Among the female parental lines, IR 58025 was observed as a good general combiner only for seedling height, panicle length, spikelets panicle-1, test weight, biological yield palnt-1. Cross between IR 688897A X Sarjoo 52 , IR 58025 A X 21-2-5-B-1-1, IR 58025 A X Narendra Usar 3 and IR 58025 A X IR 71829-3R-73-1-2-B shown favorable per se performances and higher significant positive SCA effects in related to grain yield plant-1. These combinations proved to be good hybrids based on CMS system in rice.Keywords
Combining Ability, Line X Tester, Rice Hybrids.References
- Adilakshmi, D. and Reddy, P.R. (2012). Combining ability analysis for yield components and physiological traits in rice. Internat. J. Plant Sci., 7 : 295-300.
- Adilakshmi, D. and Upendra, A. (2014). Combining ability analysis for quality and nutritional traits in rice. Internat. J. Farm Sci., 4(2): 15-23.
- Arunachalam, V. (1974). The fallacy behind the use of modified line x tester design. Indian J. Genet, 34(2): 200-207.
- Dorosti, H. and Monajjem, S. (2014). Gene action and combining ability for grain yield and yield related traits in rice (Oryza sativa L.). J. Agric. Sci., 9:100-108.
- Dwivedi, D.K., Pandey, M.P., Pandey, S.K. and Li, R. (1999). Studies on screening and genetics of wide compatibility in rice. Indian J. Genet., 53: 1-14.
- Ghosh, A. (1993). Combining ability for yield and its related traits in upland rice. Oryza, 30 : 275-279.
- Hasan, M.J., Kulsum, U.K., Lipi, L.F. and Shamsuddin, A.K.M. (2013). Combining ability studies for developing new rice hybrids in Bangladesh. Bangladesh J. Bot., 42(2): 215-222.
- Kempthorne, O. (1957). An introduction to genetical statistics (Ed.). John Wiley and Sons, Inc. New York, USA.
- Patial, M., Pal, D. and Kumar, J. (2016). Combining ability and gene action studies for grain yield and its component traits in barley (Hordeum vulgare L.) SABRAO J. Breed. Genet., 48 (1) : 90-96.
- Prasad, S., Verma, O.P., Treepathi, N., Ashish and Yadav, P.K. (2013). Combining ability for yield and its contributing traits in rice (Oryza sativa L.) under salt affected soil. Internat. J. Sci. & Res., 6 : 1050-1054.
- Priyanka, K., Jaiswal, H.K. and Waza, S.A. (2014). Combining ability and heterosis for yield, its component traits and some grain quality parameters in rice (Oryza sativa L.). J. Appl. & Natural Sci., 6 (2): 495-506.
- Rosamma, C.A. and Vijayakumar, N.K. (2005). Heterosis and combining ability in rice (Oryza sativa L.). Indian J. Genet., 65(2): 119-120.
- Saleem, M.Y., Mirza, J.I. and Haq, M.A. (2010). Combining ability analysis for yield and related traits in basmati rice (Oryza sativa L.). Pak. J. Bot., 42(1): 627-637.
- Singh, N.K. and Kumar, Anand (2004). Combining ability analysis to identify suitable parents for heterotic rice hybrid breeding. Internat. Rice Res. Notes, 29(1): 21-22.