Genetic Variability and Character Association in Maize (Zea mays L.) Inbred Lines

Maize grain yield is a complicated character which depends on multiple factors. Considering this aspect, we carried out an experiment to estimate the genetic parameters and character association of thirty inbred line in maize during November 2017 to April 2018. The highest genotypic coefficient of variation (GCV) was observed for a Number of kernel row per ear (NKRE), ear diameter (ED), plant height (PH), number of kernels per row (NKR). However, heritability (percentage) exhibited highest for the yield per plant (YP), thousands kernel weight (TKW), cob weight (CW), first ear height (FEH), ear length (EL). The percentage of genetic advance (GAM%) was high for YP, CW, PH, FEH, TKW. Results demonstrated that EL has a significant positive correlation with NKR (r = 0.661**). YP showed significant positive correlation with PH (r = 0.718**). While EL (r = 0.587**), NKR (r = 0.501**), NKE (r = 0.422**), and TKW (r = 0.612**) showed insignificant association with YP (0.718). YP has insignificant association with EL to NKRE (r = -0.0414) and PH to FEH (r = -0.092). Highest and positive direct effect on YP was exhibited by TKW (0.519). Considering all traits, IL-28, performed better followed by IL-9, IL-15, and IL-10. The development of hybrids genotypes, these genotypes have the chance to obtain higher heterosis with high performing crosses.

___

Afroz R, Sharif MSH and Rahman L. 2004. Genetic variability, correlation and path analysis in mustard and rape (Brassica spp.). Bangladesh J. Pl. Breed. Genet. 17(10): 59-63.

Ahmed M, Mian MA and Chowdhury MA. 2011. Correlation study in maize. J. Agric. Res. 16: 399-405.

Ali Q, Elahi M, Ahsan M, Tahir MHN and Basra SMA. 2012. Genetic Evaluation of Maize (Zea mays L.) Associations for Growth Related Seedlings Traits. IJAVMS. 6:164-172. https://doi.org/10.5455/ijavms.20110608051727

Allam CR, Jaiswal HK and Qamar A. 2015. Character association and path analysis studies of yield and quality parameters in basmati rice (Oryza sativa L.). The Bioscan. 9(4): 1733-1737.

Azad MAK, Biswas BK, Alam N and Alam SS. 2012. Genetic Diversity in Maize (Zeya mays) inbreed line. The Agriculturists. 10(1): 64-70.

BBS. 2016. Agriculture Marketing System in Bangladesh. http://www.fao.org/fileadmin/templates/ess/documents/apca s26/presentations/APCAS-16-5.2.5_-_Bangladesh_- _AMIS_in_Bangladesh.pdf

Bello OB Maliq A 2010. Correlation and path coefficient analysis of yield and agronomic characters among open-pollinated maize varieties and their F1 hybrids in a diallel cross. African J. Biotech. 9(18): 2633-263.

Begum S, Ahmed A, Omy SH, Rohman MM and Amiruzzaman M. 2016. Genetic Variability, Character Association and Path Analysis in Maize (Zea mays L.). Bangladesh J. Agric. Res. 41: 173-182. https://doi.org/10.3329/bjar.v41i1.27682

Burton G W 1952. Quantitative inheritance in grasses. 6th International Grassland Congress. 1: 277-283.

Chaudhry AR. 1993 Maize in Pakistan. Punjab Agricultural Research. Coordination Board, University of Agriculture, Faisalabad, Pakistan.

Comstock RR, Robinson HF. 1952. Genetic parameters, their estimation and significance, proc. 6th international Grassland Congress. Vol. 1, Nat. Publ. Co. Wash., D.C., U.S.A., pp: 248-291.

DAE. 2012. Department of Agriculture Extension. Annual Report for 2011-12. Bangladesh Agricultural University, Mymensingh.

Dewey DR and Lu KH. 1959. A Correlation, Path Coefficient Analysis of Components of Crested Wheat Grass Seed Production. Agron. J. 51: 515-518. https://doi.org/10.2134 /agronj1959.00021962005100090002x

Farnia A and Mansouri M. 2015. Study on Morphological Characteristics of Maize (Zea mays L.) Cultivars under Different Plant Densities. Indian J. Natural Sci. 5(30): 8391- 8397.

Garcia LF, del Moral Y, Rharrabti D, Villagas and Royo C. 2003. Evaluation of grain yield and its components in durum wheat under Mediterranean conditions: An oncogenic approach. Agron. J. 95: 266-274.

Gomez KA and Gomez AA. 1984. Statistical procedures for agricultural research (2nd.). John Wiley and sons, NewYork, 680p.

Hanson CH, Robinson HF, Comstock RE. 1956. Biometrical studies of yield in segregation populations of Korean lespedeza. Agron. J. 48: 268-272.

Jakhar DS, Singh R and Kumar A. 2017. Studies on Path Coefficient Analysis in Maize (Zea mays L.) for Grain Yield and Its Attributes. Int. J. Current Microb. App. Sci. 6:2851- 2856. https://doi.org/10.20546/ijcmas.2017.604.327

Johnson HW, Robinson HF, Comstock RE. 1955. Estimation of genetic and environmental variability in soybeans. Agron. J. 47: 314-318.

Khan R and Dubey RB. 2015. Combining ability analysis for nutritional quality and yield in maize (Zea mays L.). The Bioscan. 10(2): 785-788.

Khan FA, Ali S, Shakeel A, Saeed A and Abbas G. 2006. Genetic variability and genetic advance analysis for some morphological traits in B. napus L. J. Agric. Res. 44(2): 83- 88.

Mahla HR, Jambhulkar SJ, Yadav DK. and Sharma R. 2003. Genetic variability, correlation and path analysis in Indian maize (Zea mays L.). Indian J. Genet. Pl. Breed. 63(2): 171- 172.

Maruthi RT and Jhansi Rani K. 2015. Genetic variability, heritability and genetic 65 Variability and traits association in maize genotypes advance estimates in maize (Zea mays L.) inbred lines. J. App. Natural Sci. 7(1): 149 – 154.

Matin MQI, Uddin Md.S, Rohman Md.M, Amiruzzaman M, Azad AK and Banik BR. 2017. Genetic Variability and Path Analysis Studies in Hybrid Maize (Zea mays L.). American J. Pl. Sci. 8: 3101-3109. https://doi.org/10.4236 /ajps.2017.812209

Morris ML, Risopoulos J and Beck D. 1999. Genetic Change in Farmer- Recycled Maize Seed; a Review of the Evidence. CIMMYT Economics Working Paper No. 99-07. Mexico, D.F., CIMMYT. 1.

Moulin S, Baret F, Bruguier N and Bataille. 2009. Assessing the Vertical Distribution of Leaf Chlorophyll Content in a Maize Crop. INRA Unite Climate, Soil, Environment (CSE), 7803- 7929.

Omikunle OA, Oduwaye OA, Ajala MO and Ogunbayo SA. 2006. Heritability, character correlation and path coefficient analysis among six inbred lines of maize (Zea mays L.). World J. Agric. Sci. 2(3): 352-358.

Quayyum MA. 1993. Bhuttar Chash Paddhati (in Bengali). In: Chowdhury, M.K. and Islam, M.A., Eds., Bhuttar Utpadan O Babohar, Bangladesh Agricultural Research Institute, Gazipur, 43-48.

Rafique MR, Amer H, Tariq M and Abdul WA. 2006. Heritability and Interrelationship among grain yield and yield components in maize (Zea mays L.). Int. J. Agric. Biol. 6(6): 1560-8530.

Sadek SE, Ahmed MA and Abd El-Ghaney HM. 2006. Correlation and Path Coefficient Analysis in Five Parents Inbred Lines and Their Six White Maize (Zea mays L.) Single Crosses Developed and Grown in Egypt. J. App. Sci. Res. 3: 159-167.

Shukla S, Bhargava A, Chatterjee A and Singh SP. 2004. Estimates of genetic parameters to determine variability for foliage yield and its different quantitative and qualitative traits in vegetable amaranth (A. tricolor). J. Genet. Breed. 58: 169-176.

Singh AK, Singh SK, Garg HS, Kumar R and Choudhary R. 2014. Assessment of relationships and variability of morphophysiological characters in bread wheat (Triticum aestivum L.) under drought stress and irrigated conditions. The Bioscan. 8(2): 473-484.

Singh RK and Chaudhary DB. 1985. Biometrical method in quantitative genetic Analysis Kalyani publishers, New-Delhi revised edition, India.

Uddin H, Rashid MHA and Akhter S. 2010. Relative Profitability of Maize Production under Different Farm Size Group in Kishoregonj District of Bangladesh. Progressive Agric. 21(1 & 2): 247-248.

USDA. (United States Department of Agriculture) World Agricultural Supply and Demand Estimates Report of July 12, 2018. https://www.usda.gov/oce/commodity/wasde/ Secretary_Briefing.pdf

Wright S. 1923. Theory of path coefficient. Genet. 8: 239-255.

Yadav SK, Singh AK, Pandey P and Singh S. 2015. Genetic variability and direct selection criterion for seed yield in segregating generations of barley (Hordeum vulgare L.). American J. Pl. Sci. 6: 1543-1549.

Zaman MA and Alam M. 2013. Genetic Diversity in Exotic Maize (Zea mays L.) Hybrids. Bangladesh J. Agric. Res. 38(2): 335.