Assessing gene action for hypoxia tolerance in cotton (Gossypium hirsutum L.)
DOI:
https://doi.org/10.15517/am.v30i1.31832Keywords:
waterlogging, regression coefficient, diallel, heritabilityAbstract
Introduction. The inheritance studies on hypoxia tolerance in cotton are very scanty. Objective. The objective of this work was to study the inheritance pattern of seed cotton yield, ginning out-turn, and fiber length under normal and hypoxia conditions. Materials and Methods. An 8×8 diallel mating system was employed in F1 generation of cotton. The experiment was conducted during the years 2011-2012 at Cotton Research Institute, Multan, Pakistan. Results. Analysis of variance revealed significant variation (P<0.01) for all the traits under both non-stress and flooding stress conditions. The value of regression coefficient b deviated significantly from zero but not from unity for all the traits which enabled further analysis of the data. The additive component (D) was significant for all the traits and this has more values than the values of dominance components H1 and H2, which clearly indicates the preponderance of additive genetic effects. Under normal and hypoxia conditions the estimates of narrow sense heritability were higher. Conclusion. Predominance of additive genetic effects, high heritability along with partial dominance under both conditions suggested that selection for these traits under hypoxic environment at early generation will be useful.
Downloads
References
Ali, M.A., and I.A. Khan 2007. Assessment of genetic variation and inheritance mode of some metric traits in cotton (Gossypium hirsutum L.). J. Agric. Soc. Sci. 3:112-116.
Ali, M.A., I.A. Khan, S.I. Awan, S. Ali, and S. Niaz. 2008. Genetics of fibre quality traits in cotton (Gossypium hirsutum L.). Aust. J. Crop Sci. 2:10-17.
Bange, M., S. Milroy, and P. Thongbai. 2004. Growth and yield of cotton in response to waterlogging. Field Crops Res. 88:129-142. DOI: https://doi.org/10.1016/j.fcr.2003.12.002
Carvalho, L., and L. De-Carvalho. 1995. Genetic control of fibre percentage and boll weight in cotton. Rev. Ceres 42:626-636.
de-Brito, GG, A.C. de-Barcellos-Ferreira, A.L.D.C. Borin, and C. de-Lelis-Morello. 2013. 1-Methylcyclopropene and Aminoethoxyvinylglycine effects on yield components of field-grown cotton. Ciênc. Agrotecnol. 37:9-16. DOI: https://doi.org/10.1590/S1413-70542013000100001
Dickinson, A.G., and J.L. Jinks. 1956. A generalised analysis of diallel crosses. Genetics 41:65-78. DOI: https://doi.org/10.1093/genetics/41.1.65
Falconer, D., and T. Mackay. 1996. Introduction to quantitative genetics. 4th ed. Longman Group Ltd, Essex, GBR.
Farooq, A., J. Farooq, A. Mahmood, A. Shakeel, A. Rehman, A. Batool, and S. Mehboob. 2011. An overview of cotton leaf curl virus disease (CLCuD) a serious threat to cotton productivity. Aust. J. Crop Sci. 5:1823-1831.
Hayman, B. 1954a. The analysis of variance of diallel tables. Biometrics 10:235-244. DOI: https://doi.org/10.2307/3001877
Hayman, B. 1954b. The theory and analysis of diallel crosses. Genetics 39:789-809. DOI: https://doi.org/10.1093/genetics/39.6.789
Hodgson. A.S. 1982. The effects of duration, timing and chemical amelioration of short-term waterlogging during furrow irrigation of cotton in a cracking grey clay. Crop Pasture Sci. 33:1019-1028. DOI: https://doi.org/10.1071/AR9821019
Hussain, S., M. Javed, M. Zubair, and N. Ahmad. 2013. Gene action in the inheritance of agronomic traits ininter varietal diallel crosses of Gossypium hirsutum L. J. Anim. Plant Sci. 23:849-853.
Imran, M., A. Shakeel, F.M. Azhar, J. Farooq, M. Saleem, A. Saeed, and A. Javaid. 2012, Combining ability analysis for within-boll yield components in upland cotton (Gossypium hirsutum L.). Gen. Mol. Res. 11:2790-2800. DOI: https://doi.org/10.4238/2012.August.24.4
Jinks, J., and B. Hayman. 1953. The analysis of diallel crosses. Maize GDB 27:48-54.
Khan, N., and G. Hassan. 2011. Genetic effects on morphological and yield traits in cotton (Gossypium hirsutum L.). Span. J. Agric. Res. 9:460-472. DOI: https://doi.org/10.5424/sjar/20110902-166-10
Klok, E.J., I.W. Wilson, D. Wilson, S.C. Chapman, R.M. Ewing, S.C. Somerville, and E.S. Dennis. 2002. Expression profile analysis of the low-oxygen response in Arabidopsis root cultures. Plant Cell 14:2481-2494. DOI: https://doi.org/10.1105/tpc.004747
Kreuzwieser, J., J. Hauberg, K.A. Howell, A. Carroll, H. Rennenberg, A.H. Millar, and J. Whelan. 2009. Differential response of gray poplar leaves and roots underpins stress adaptation during hypoxia. Plant Physiol. 149:461-473. DOI: https://doi.org/10.1104/pp.108.125989
Liu, F., T. VanToai, L.P. Moy, G. Bock, L.D. Linford, and J. Quackenbush. 2005. Global transcription profiling reveals comprehensive insights into hypoxic response in Arabidopsis. Plant Physiol. 137:1115-1129. DOI: https://doi.org/10.1104/pp.104.055475
Mather, K., and J.L. Jinks. 1971. Biometrical genetics. 2nd ed. Chapman & Hall, London, GBR. DOI: https://doi.org/10.1007/978-1-4899-3404-8
Pang, J., M. Zhou, N. Mendham, and S. Shabala. 2004. Growth and physiological responses of six barley genotypes to waterlogging and subsequent recovery. Crop Pasture Sci. 55:895-906. DOI: https://doi.org/10.1071/AR03097
Najeeb, U., B.J. Atwell, M.P. Bange, and D.K.Y. Tan. 2015. Aminoethoxyvinylglycine (AVG) ameliorates waterlogging-induced damage in cotton by inhibiting ethylene synthesis and sustaining photosynthetic capacity. Plant Growth Reg. 76:83-98. DOI: https://doi.org/10.1007/s10725-015-0037-y
Parelle, J., E. Dreyer, and O. Brendel. 2010. Genetic variability and determinism of adaptation of plants to soil waterlogging. In: S. Mancuso and S. Shabala, editors, Waterlogging signalling and tolerance in plants. Springer, GER. p. 241-265. DOI: https://doi.org/10.1007/978-3-642-10305-6_12
Riaz, M., J. Farooq, G. Sakhawat, A. Mahmood, M.A. Sadiq, and M. Yaseen. 2013. Genotypic variability for root/shoot parameters under water stress in some advanced lines of cotton (Gossypium hirsutum L.). Gen. Mol. Res. 12:552-561. DOI: https://doi.org/10.4238/2013.February.27.4
Sairam, R., D. Kumutha, K. Ezhilmathi, P. Deshmukh, and G. Srivastava. 2008. Physiology and biochemistry of waterlogging tolerance in plants. Biol. Plantarum 52:401-412. DOI: https://doi.org/10.1007/s10535-008-0084-6
Saranga, Y., C.X. Jiang, R. Wright, D. Yakir, and A. Paterson. 2004. Genetic dissection of cotton physiological responses to arid conditions and their inter-relationships with productivity. Plant Cell Environ. 27:263-277. DOI: https://doi.org/10.1111/j.1365-3040.2003.01134.x
Sayal, O., and M. Sulemani. 1996. Comparison of gene action controlling the qualitative traits in some early maturing cultivars of American cotton (Gossypium hirsutum L). Sar. J. Agric. 12:137-145.
Setter, T. and I. Waters. 2003. Review of prospects for germplasm improvement for waterlogging tolerance in wheat, barley and oats. Plant Soil 253:1-34. DOI: https://doi.org/10.1023/A:1024573305997
Shakeel, A., J. Farooq, M.A. Ali, M. Riaz, A. Farooq, A. Saeed, and M.F. Saleem. 2011. Inheritance pattern of earliness in cotton (‘Gossypium hirsutum’ L.). Aust. J. Crop Sci. 5:1224-1231.
Singh, D., and R. Singh. 1980. Genetics of ginning characters in Upland cotton. Indian J. Agric. Sci. 50:537-540.
Stansfield, W.D. 1969. Theory and problems of genetics. Schaum’s Outline Series. McGraw-Hill Education, NY, USA.
Steel, R.G., J.H. Torrie, and D.A. Dickey. 1997. Principles and procedures of statistics: A biological approach. McGraw-Hill, NY, USA.
Turner, J.H., H.H. Ramey, and S. Worley. 1976. Relationship of yield, seed quality, and fiber properties in Upland cotton. Crop Sci. 16:578-580. DOI: https://doi.org/10.2135/cropsci1976.0011183X001600040038x
Zhou, M. 2010. Improvement of plant waterlogging tolerance. In: S. Mancuso, and S. Shabala, editors, Waterlogging signalling and tolerance in plants. Springer-Verlag, GER. p. 267-285. DOI: https://doi.org/10.1007/978-3-642-10305-6_13
Published
Issue
Section
License
Copyright (c) 2019 Altaf Hussain, Zafar Ullah Zafar, Habib-ur-Rehman Athar, Jehanzeb Farooq, Saghir Ahmad, Wajad Nazeer (Autor/a)

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.














