• M Masood Department of Plant Breeding and Genetics, University of Agriculture, Faisalabad, Pakistan
  • M Ahsan Department of Plant Breeding and Genetics, University of Agriculture, Faisalabad, Pakistan
  • HA Sadaqat Department of Plant Breeding and Genetics, University of Agriculture, Faisalabad, Pakistan
  • F Awan Centre of Agriculture Biochemistry and Biotechnology, University of Agriculture, Faisalabad, Pakistan



maize, genetic variability, genetic advance, genotypic correlation, heritability, principle component analysis, water deficit


Development of the selection criteria and selection of crop plant genotypes is a crucial and important task of plant breeders. The present study was designed to screen out the drought or water deficit tolerant maize genotypes. Fifty genotypes were taken from maize germplasm restored by the Department of Plant Breeding and Genetics University of Agriculture, Faisalabad, Pakistan. One set of genotypes were grown under 100% field capacity while other set at 50% field capacity in wire house conditions. The significant contrasts were observed in genotypes of various attributes under ordinary and stress timeframe. The traits root length and root shoot ratio by mass showed the high heritability and genetic advance and genotypic correlation with each other under water deficit condition provided the basis for the selection. The principle component analysis showed that the genotypes A545, AES204, WM13RA were chosen on the premise of better performance for most of the traits under study. These lines may be used in further breeding program as candidate parents for the development of drought tolerant hybrids.


Download data is not yet available.


Ahsan, M., Zulqrnain, M.H. Saleem, M. and Aslam, M. (2008). Contribution of various leaf morpho-physiological parameters towards grain yield in maize. International Journal of Agriculture and Biology, 10(5):546-550,

Ali, Q., Ali, A., Waseem, M., Muzaffar, A., Ahmed, S., Ali, S., Bajwa, K.S., Awan, M.F., Samiullah, T.R., Nasir I.A., and Husnain, T. (2014). Correlation analysis for morpho-physiological traits of maize (Zea mays L.). Life Science Journal, 11(12s): 9-13.

Anjum, S.A., Ashraf, U., Tanveer, M., Khan, I., Hussain, S., Shahzad, B., Zohaib, A., Abbas, F., Saleem, M.F., Ali I., and Wang, L.C. (2017). Drought induced changes in growth, osmolyte accumulation and antioxidant metabolism of three maize hybrids. Frontiers in Plant Science, 8:1-12.

Anonymous. (2013). Ministry of Food and Agriculture, Bureau of Statistics. Government of Pakistan

Aslam, M., Zeeshan, M., Maqbool M.A., and Farid. B. (2014). Assessment of drought tolerance in maize (Zea mays L.) genotypes at early growth stages by using principle component and biplot analysis. International Journal of Science and Technology, 29:1943-1951

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

Chohan, M.S.M. (2012).Genetic basis of drought tolerance and other plant traits in (Zea mays L.). PhD Thesis, Deptt. Plant Breed. Genet., Univ. Agri. Faisalabad, Pakistan.

Falconer. D.S., and Mackay, T.F.C. (1996). Introduction to quantitative genetics. 4th ed. Pearson edu. Ltd. England

FAO (2013). Food and Agricultural Organization of the United Nations (FAO), FAO Statistical Database,

Farooq, M., Wahid, A., Kobayashi, N., Fujita D., and Basra. S.M.A. (2009). Plant drought stress, effects, mechanisms and management. Agronomy for Sustainable Development, 29: 185–212.

Flexas J., Gallé A., Galmés J., Ribas-Carbo M., Medrano H. (2012). The response of photosynthesis to soil water stress. In: Aroca R. (ed.): Plant Responses to Drought Stress. Berlin, Heidelberg, Springer-Verlag.

Gabriel, K.R. (1981). Biplot display of multivariate matrices for inspection of data and diagnosis. In: V. Barnett (ed.), Interpreting Multivariate Data. London: John Wiley and Sons.

Gheysari M., Sadeghi S.H., Loescher H.W., Amiri S., Zareian M.J., Majidi M.M., Asgarinia P., Payero J.O. (2017). Comparison of deficit irrigation management strategies on root, plant growth and biomass productivity of silage maize. Agricultural Water Management, 182: 126–138.

Hao B., Xue Q., Marek T.H., Jessup K.E., Hou X., Xu W., Bynum E.D., Bean B.W. (2016). Radiation-use efficiency, biomass production, and grain yield in two maize hybrids differing in drought tolerance. Journal of Agronomy and Crop Science, 202: 269–280

Johnson. H.W., Robinson H.F., and Comstock. R.E. (1955). Estimate of genetic and environmental variability in soybean. Agronomy Journal, 47: 477-83

Lawlor D.W., Uprety D.C. (1993). Effects of water stress on photosynthesis of crops and the biochemical mechanism. In: Abrol Y.P., Mohanty P., Govindjee (eds.): Photosynthesis: Photoreactions to Plant Productivity. Dordrecht, Springer.

Najeeb, S., Rather, A.G., Parray, G.A., Sheikh, F.A., and Razvi, S..M. (2009). Studies on genetic genotypic correlation and path coefficient analysis in maize under high altitude temperate ecology of Kashmir. Maize Genetics Crop News Letter. 83: 1-8

Ogunniyan, D.J. and S.A. Olakojo. (2014). Genetic variation, heritability, genetic advance and agronomic character association of yellow elite inbred lines of maize (Zea mays L.). Nigerian Journal of Genetics, 28:24-28.

Revee, E.C.R., and Robertson, F.W. (1953). Studies in quantitative inheritance. II. Analysis of a strain of Drosophilla melongastor selected for long wings. Journal of Genetics, 51: 276-316

Saseendran S.A., Ahuja L.R., Ma L., Nielsen D.C., Trout T.J., Andales A.A., Chávez J.L., Ham J. (2014). Enhancing the water stress factors for simulation of corn in RZWQM2. Agronomy Journal, 106: 81–94

Sharwood R.E., Sonawane B.V., Ghannoum O. (2014). Photosynthetic flexibility in maize exposed to salinity and shade. Journal of Experimental Botany, 65: 3715–3724.

Terashima I., Funayama S., Sonoike K. (1994): The site of photoinhibition in leaves of Cucumis sativus L. at low temperatures is photosystem I, not photosystem II. Planta, 193: 300–306.

Wang, X., Chang, J., Qin, G., Zhang, S., Cheng X., and Li. C. (2011). Analysis on yield components of elite maize variety Xundan 20 with super high yield potential. African Journal of Agricultural Research, 6(24): 5490-5495.

Yin X.G., Jabloun M., Olesen J.E., Öztürk I., Wang M., Chen F. (2016). Effects of climatic factors, drought risk and irrigation requirement on maize yield in the Northeast Farming Region of China. Journal of Agricultural Science, 154: 1171–1189.

Zhao Z., Luo Y. (2007). Projections of climate change over Northeastern China for 21st century. Journal of Meteorology and Environment, 23: 1–4. (In Chinese)




How to Cite

Masood, M., Ahsan, M., Sadaqat, H., & Awan, F. (2020). SCREENING OF MAIZE (ZEA MAYS L.) INBRED LINES UNDER WATER DEFICIT CONDITIONS. Biological and Clinical Sciences Research Journal, 2020(1).



Original Research Articles