Evaluation of biochemical and physiological traits of corn S6 lines under normal and water deficiency conditions and examining their kinship relationships by cluster analysis

Subject Areas : Genetic

Farhad Sadeghi ¹ , Mehdi Rahimi ²

1 - Horticulture Crops Research Department, Kermanshah Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Kermanshah, Iran.
2 - Assistant Professor, Department of Biotechnology, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran

Received: 2019-09-02 Accepted : 2019-12-06 Published : 2020-06-21

Keywords: Cluster analysis, Drought stress, Maize, Proline, Soluble sugars,

Abstract :

In order to investigate the response of 15 maize S6 lines to drought stress, a split plot design based on randomized complete block design with three replications was conducted in 2015 year at the research field of Graduate University of Advanced Technology, Kerman, Iran. In this study, the main factor was stress at two levels (normal with five days irrigation and low irrigation with ten days irrigation) and the sub-factor was maize line at 15 levels. The results showed that there were significant differences between stress levels and lines for all studied traits (chlorophyll a, chlorophyll b, total chlorophyll, carotenoids, soluble sugars, protein and proline content). Mean comparison of lines showed that lines 9, 3 and 5 had the highest proline content under drought stress conditions. The lowest phenotypic coefficient of variation was for total protein (2.59) and the highest for proline (74.17). Cluster analysis divided the studied lines into four, five and six groups in normal, drought and mean conditions, respectively, and the similarity of their grouping was high. Based on the results of cluster analysis and mean comparisons, lines with high genetic distance were grouped together. Thus, three groups, each with five lines, were found to be used in the planning of breeding projects and cross-breeding programs. Line 9 also showed a high mean for most of the studied traits in both conditions and it can be considered as a promising line in future experiments.

References:

References

Anjum, S.A., Xie, X.-y., Wang, L.-c., Saleem, M.F., Man, C. and Lei, W. (2011). Morphological, physiological and biochemical responses of plants to drought stress. African Journal of Agricultural Research, 6 (9): 2026-2032.

Aslam, M., Khan, I.A., Saleem, M. and Ali, Z. (2006). Assessment of water stress tolerance in different maize accessions at germination and early growth stage. Pakistan Journal of Botany, 38 (5): 1571-1579.

Avramova, V., Nagel, K.A., AbdElgawad, H., Bustos, D., DuPlessis, M., Fiorani, F. and Beemster, G.T. (2016). Screening for drought tolerance of maize hybrids by multi-scale analysis of root and shoot traits at the seedling stage. Journal of Experimental Botany, 67 (8): 2453-2466.

Basu, S., Ramegowda, V., Kumar, A. and Pereira, A. (2016). Plant adaptation to drought stress. F1000Research, 5: F1000 Faculty Rev-1554, 10 pages.

Bates, L., Waldren, R. and Teare, I. (1973). Rapid determination of free proline for water-stress studies. Plant and soil, 39 (1): 205-207.

Bradford, M.M. (1976). A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Analytical biochemistry, 72 (1-2): 248-254.

Bruce, W.B., Edmeades, G.O. and Barker, T.C. (2002). Molecular and physiological approaches to maize improvement for drought tolerance. Journal of Experimental Botany, 53 (366): 13-25.

Cakir, R. (2004). Effect of water stress at different development stages on vegetative and reproductive growth of corn. Field Crops Research, 89 (1): 1-16.

Chimungu, J.G., Brown, K.M. and Lynch, J.P. (2014). Large root cortical cell size improves drought tolerance in maize. Plant Physiology, 166 (4): 2166-2178.

Hammer, Ø., Harper, D. and Ryan, P. (2001). PAST: Paleontological statistics software package for education and data analysis. Palaeontologia Electronica, 4 (1): 9pp.

Iqbal, J., Shinwari, Z.K. and Rabbani, M.A. (2015a). Maize (Zea mays L.) germplasm agro-morphological characterization based on descriptive, cluster and principal component analysis. Pakistan Journal of Botany, 47: 255-264.

Iqbal, J., Shinwari, Z.K., Rabbani, M.A. and Khan, S.A. (2015b). Genetic divergence in maize (Zea mays L.) germplasm using quantitative and qualitative traits. Pakistan Journal of Botany, 47: 227-238.

Kresović, B., Gajić, B., Tapanarova, A. and Dugalić, G. (2018). How irrigation water affects the yield and nutritional quality of maize (Zea mays L.) in a temperate climate. Polish Journal of Environmental Studies, 27 (3): 1123-1131.

Kumar, A., Kumari, J., Rana, J., Chaudhary, D., Kumar, R., Singh, H., Singh, T. and Dutta, M. (2015). Diversity among maize landraces in North West Himalayan region of India assessed by agro-morphological and quality traits. Indian Journal of Genetics and Plant Breeding, 75 (2): 188-195.

Kumar, S., Sachdeva, S., Bhat, K. and Vats, S. (2018). Plant Responses to Drought Stress: Physiological, Biochemical and Molecular Basis. In: Biotic and Abiotic Stress Tolerance in Plants.  pp. 1-25. Springer,

Löffler, C.M., Wei, J., Fast, T., Gogerty, J., Langton, S., Bergman, M., Merrill, B. and Cooper, M. (2005). Classification of maize environments using crop simulation and geographic information systems. Crop Science, 45 (5): 1708-1716.

Madadi, E. and Fallah, S. (2017). Effects of jasmonic acid and humic acid to mitigate drought stress effect during pollination of forage maize. Journal of Water and Soil, 31 (5): 1396-1408 (In Persian with English Abstract).

Nasrollahzade Asl, V., Shiri, M.R., Moharramnejad, S., Yusefi, M. and Baghbani, F. (2017). Effect of drought tension on agronomy and biochemical traits of three maize hybrids (Zea mays L.). Crop Physiology Journal, 8 (32): 45-60 (In Persian with English Abstract).

Ragh ara, H. and Moosavi, S.G.R. (2018). Effect of water deficit stress and application of humic and salicylic acid on physiological traits, yield and yield components of corn. Journal of Iranian Plant Ecophysiological Research, 13 (50): 88-101 (In Persian with English Abstract).

Rauf, S., Al-Khayri, J.M., Zaharieva, M., Monneveux, P. and Khalil, F. (2016). Breeding strategies to enhance drought tolerance in crops. In: Advances in plant breeding strategies: agronomic, abiotic and biotic stress traits.  pp. 397-445. Al-Khayri, J.M., Jain, S.M. and Johnson, D.V. (eds.), Springer, Cham, Switzerland,

SAS-Institute-Inc (2014). Base SAS 9.4 Procedures Guide: Statistical Procedures, Third Edition. SAS Institute Inc., Cary, NC, USA.

Seghatoleslami, M., Kafi, M. and Majidi, E. (2008). Effect of drought stress at different growth stages on yield and water use efficiency of five proso millet (Panicum miliaceum L.) genotypes. Pakistan Journal of Botany, 40 (4): 1427-1432.

Setimela, P., Chitalu, Z., Jonazi, J., Mambo, A., Hodson, D. and Bänziger, M. (2005). Environmental classification of maize-testing sites in the SADC region and its implication for collaborative maize breeding strategies in the subcontinent. Euphytica, 145 (1-2): 123-132.

Somogyi, M. (1952). Notes on sugar determination. Journal of Biological Chemistry, 195: 19-23.

Sudhakar, P., Latha, P. and Reddy, P. (2016). Phenotyping Crop Plants for Physiological and Biochemical Traits. Academic Press.

Yordanov, I., Velikova, V. and Tsonev, T. (2000). Plant responses to drought, acclimation, and stress tolerance. Photosynthetica, 38 (2): 171-186.

York, L.M., Nord, E. and Lynch, J. (2013). Integration of root phenes for soil resource acquisition. Frontiers in Plant Science, 4: Article 355- 15 pages.

Yusefi, M., Nasrollahzade asl, V. and Moharramnejad, S. (2017). Grain yield, chlorophyll content, osmolyte accumulation, total phenolics and catalase activity in maize (Zea mays L.) under drought stress. Journal of Iranian Plant Ecophysiological Research, 12 (46): 1-14 (In Persian with English Abstract).