Selection of Dwarf Stature Yield Potential Lines from F3 Populations of White Maize (Zea mays L.)

Document Type : Research Article


1 Department of Genetics and Plant Breeding, Sher-e-Bangla Agricultural University, Bangladesh

2 Department of Agronomy, Sher-e-Bangla Agricultural University, Bangladesh

3 Department of Plant Pathology, Sher-e-Bangla Agricultural University, Bangladesh

4 Department of Genetics and Plant Breeding, Patuakhali Science and Technology University, Bangladesh



'Dwarf stature' maize variety offers promises to withstand unfavorable growth environments of Kharif season. But, for developing such variety, dwarf stature inbred lines must be available. Here, twenty-four F3 populations of white maize were evaluated though assessment of their genetic variability, heritability, and character association for selection of dwarf stature promising lines based on yield and growth parameters. The populations were developed from F1 hybrids following the pedigree breeding method. Analysis of genetic variability showed that significant variations existed among the populations and the growth characters viz., plant height, cob height, number of grains row-1, and yield plant-1 showed the highest heritability and genetic advance. The correlation revealed that yield plant-1 was positively and significantly associated with plant height, cob length, cob diameter, and grains row-1. The path coefficient analysis indicated that plant height, cob length, cob diameter, rows cob-1, grains row-1 and 100-grain weight had positive and direct contributions towards yield indicating that these yield attributes might be considered for selection. Finally, based upon the criteria viz., plant height, maturity, base diameter, cob height, and yield potential, the lines G14 and G4 may be selected for high grain yield, while the lines G10, G11, G12, G1, G3, and G16 might be selected as promising dwarf stature lines for developing inbred lines.


Ahmad SQ, Khan S, Ghaffar M, Ahmad F. 2011. Genetic diversity analysis for yield and other parameters in maize (Zea mays L.) genotypes. Asian J Agric Sci 3: 385- 388.
Ahmed N, Chowdhury A, Uddin MS, Rashad MM. 2020. Genetic variability, correlation and path analysis of exotic and local hybrid maize (Zea mays L.) genotypes. Asian J Med Biol Res 6 (1): 8- 15.
Amiruzzaman M, Islam MA, Hasan L, Kadir M, Rohman MM. 2013. Heterosis and combining ability in a diallel among elite inbred lines of maize (Zea mays L.). Emir J Food Agric 25 (2): 132- 137.
Bangladesh Agricultural Research Institute (BARI). 2018. Annual Report 2017-2018, Bangladesh Agricultural Research Institute. Gazipur, Bangladesh.
Bartaula S, Panthi U, Timilsena K, Acharya SS, Shrestha J. 2019. Variability, heritability and genetic advance of maize (Zea mays L.) genotypes. Res Agric Livest Fish 6: 163-169.
Bangladesh Bureau of Statistics (BBS). 2018. Annual Agricultural Statistics 2017-18, Bangladesh Bureau of Statistics. Statistic Division, Ministry of Planning, Dhaka, Bangladesh.
Beulah G, Marker S, Rajasekhar D. 2018. Assessment of quantitative genetic variability and character association in maize (Zea mays L.). J Pharmacogn Phytochem 7: 2813- 2816.
Ceccarelli S, Grando S, Maatougui M, Michael M, Slash M, Haghparast R, Rahmanian M, Taheri A, Al-Yassin A, Benbelkacem A, Labdi M. 2010. Plant breeding and climate changes. J Agricu Sci 148: 627–637.
Chozin M, Sudjatmiko S, Setyowati N, Fahrurrozi F, Muktamar Z. 2017. Analysis of traits association in sweet corn inbred lines as grown under organic crop management. SABRAO J Breed Genet 49: 361- 367.
Cochran WG, Cox GM. 1957. Experimental design. New York.John Wiley & Sons, 546- 568.
Comstock RE, Robinson HF. 1952. Genetic Parameters, their Estimation and Significance,Proc Sixth International Grassland Congress, Washington, D.C., USA: National Publishing Company.
Dewey DR, Lu HK. 1959. A correletion and path coefficient analysis of components of creasted wheat grass and seed production. Agron J 51: 515- 518.
Ghimire B, Timsina D. 2015. Analysis of yield and yield attributing traits of maize genotypes in chitwan, Nepal. World J Agric Res 3: 153- 162.
Hepziba SJ, Geeta K, Ibrahim. 2013. Evalution of genetic diversity, variability, characters association and path analysis in divers inbreds of maize (Zea mays L.). Electron J Plant Breed 4: 1067– 1072.
Hossain S, Haque M, Rahman J. 2015. Genetic variability, correlation and path coefficient analysis of morphological traits in some extinct local aman rice (Oryza sativa L). J Rice Res 3: 158.
Idris AE, Abuali AI. 2011. Genetic variability for vegetative and yield traits in maize (Zea mays L.) genotypes. Int Res J Agric Sci Soil Sci 1: 408- 411.
Karim ANMS, Ahmed S, Akhi AH, Talukder MZA, Mujahidi TA. 2018. Combining ability and heterosis study in maize (Zea mays L.) Hybrids at different environments in Bangladesh. Bangladesh J Agric Res 43: 125-134.
Khan AA, Islam MR, Ahmed KU, Khaldun ABM. 2013. Studies on genetic divergence in maize (Zea mays) inbreds. Bangladesh J Agric Res 38: 71-76.
Kumar S, Gupta D, Nayyar H. 2012. Comparative response of maize and rice genotypes to heat stress: status of oxidative stress and antioxidants. Acta Physiol Plant 34: 75-86. 
Kumar SR, Arumugam T, Balakrishnan, Anandakumar CR. 2013. Variability in the segregating generation of eggplant for earliness and yield. Pak J Biol Sci 16: 1122- 1129.
Matin MQI, Rasul MG, Islam AKMA, Mian MK, Ivy NA, Ahmed JU. 2016. Combining ability and heterosis in maize (Zea mays L.). Am J Bio Sci 4: 84- 90.
Mishra PK, Ram RB, Kumar N. 2015. Genetic variability, heritability, and genetic advance in strawberry (Fragaria× ananassa Duch.). Turk J Agric For 9: 451- 458.
Nayaka MP, Lambani N, Sandhya, Marker S. 2015. Genetic variability and heritability studies in the Maize genotype at Allahabad. Int J Tropic Agric 33: 1987-1990.
Olawamide DO, Fayeun LS. 2020. Correlation and path coefficient analysis for yield and yield components in late maturing pro-vitamin a synthetic maize (Zea mays L.) breeding lines. J Exp Agric Int 42: 64-72.
Pandey Y, Vyas RP, Kumar J, Singh L, Singh HC, Yadav PC, Vishwanath. 2017. Heritability, correlation and path coefficient analysis for determining interrelationships among grain yield and related characters in maize (Zea mays L.). Int J Pure App Biosci 5: 595-603.
Rafiq CM, Rafique M, Hussain A, Altaf M. 2010. Studies on heritability, correlation and path analysis in maize (Zea mays L.). J Agric Res 48: 35-38.
Ranum P, Peña‐Rosas JP, Garcia‐Casal MN. 2014. Global maize production, utilization, and consumption. Ann N Y Acad Sci 1312: 105-112.
Reddy VR, Jabeen F. 2016. Narrow sense heritability, correlation and path analysis in maize (Zea mays L.). SABRAO J Breed Genet 48: 120-126.
Reddy VR, Jabeen F, Sudarshan MR, Rao AS (2012). Studies on genetic variability, heritability, correlation and path analysis in maize (Zea mays L.) over locations. Int J Appl Biol Pharm 4: 196-199.
Sesay S, Ojo D, Ariyo OJ, Meseka S. 2016. Genetic variability, heritability and genetic advance studies in topcross and three-way cross maize (Zea mays L) hybrids. Maydica 61: 1-7.
Singh P, Das S, Kumar Y, Dutt Y, Sangwan O. 2003. Variability studies for grain yield and its component traits in maize (Zea mays L.). Ann Agri-Bio Res 8: 2-31.
Sumathi PA, Kumara N, Moharaj K. 2005. Genetic variability and traits inter-relationship studies in inheritability utilized oil rich CYMMYT maize (Zea mays L.). Madras Agric J 92: 612-617.
Tahir M, Tanveer A, Ali A, Abbas M, Wasaya A. 2008. Comparative yield performance of different maize (Zea mays L.) hybrids under local conditions of Faisalabad-Pakistan. Pak J Life Soc Sci 6: 118-120.
Ullah MJ, Islam MM, Fatima K, Mahmud MS, Akhter S, Rahman J, Quamruzzaman M. 2017. Comparing modern varieties of white maize with landraces in Bangladesh: Phenotypic traits and plant characters. J Expt Biosci 8: 27-40.
Ullah MJ, Islam MM, Fatima K, Mahmud MS, Islam MR. 2019. Yield and yield attributes of two exotic white maize hybrids at different agroclimatic regions of Bangladesh under varying fertilizer doses. Adv Agr Environ Sci 2: 65-71.