Performance and variation in phenotypic characters of maize genotypes in Mid-Western Region of Nepal

Year 2018, Volume: 2 Issue: 3, 109 - 113, 20.09.2018

Kiran Pariyar , Pradip Sapkota Salina Panta Puspa Buda Tika Bahadur Karki

https://doi.org/10.31015/jaefs.18018

Abstract

An
experiment was conducted to evaluate the morphological characters of maize
genotypes at Horticultural Research Station, Dailekh in two consecutive years
(2016 and 2017). Altogether, seven genotypes consisting of BGBY POP, BLSPRSO7,
Across 9942/9944, Across 9331/RE, TLBRSO7 along with check varieties (Deuti and
Local) were experimented. The trial was laid out in Randomized Complete Block
Design with three replicates. Data on morphological parameters and yield
attributing traits were recorded. The results over the years of experiment
revealed significant differences for days to maturity, plant height, ear
height, number of kernel per row and grain yield. Furthermore, highest grain
yield was recorded in Across 9944/9942 (7.24 tha^-1) followed by
BLSPRSO7 (6.73 tha^-1). Similarly, number of kernel per row was maximum
in Across 9942/9944 (37.6) followed by Deuti (37.1). The significant variation
in ear height was observed which ranged from 125.4 cm (Across 9944/9942) to 146
cm (local variety). It showed local variety to be early maturing (114 Days After
Sowing); however, Across 9942/9944 was late maturing (119 DAS). Correlation
analysis revealed that ear population, plant population and plant height were
yield determinative and simultaneous selection for these traits might bring an
improvement in grain yield. This study revealed that Across9931/RE can be a
potential genotype for yield and for further maize breeding program.    

Keywords

Correlation, Genotypes, Maize, Phenotype, Yield

References

• ABPSD. (2016). Statistical Information on Nepalese Agriculture 2015/2016. Agribusiness Promotion and Statistics Division, Kathmandu. 3p. Agri-Business Promotion and Statistics Division (ABPSD). Ministry of Agriculture and Cooperatives (MOAC), Singh Darbar, Kathmandu, Nepal.
• Abuzar, M.R., Sadozai, G.U., Baloch, M.S. Baloch, A. A., Shah, I. H., Javaid, T., and Hussain, N. (2011). Effect of plant population densities on yield of maize. The Journal of Animal & Plant Science. 21(4), 692-695.
• Dar, Z.A., Lone, A.A., Alaie, B.A., Ali, G., Gazal, A., Gulzar, S., and Yousuf, N. (2015). Correlation studies in temperate maize (Zea mays L.) inbred lines. Plant Archives, 15(2), 1191-1194.
• Emam Y. (2001). Sensitivity of grain yield components to plant population density in non-prolific maize (Zea mays L.) hybrids. Indian Journal of Agricultural Science, 71(6), 367-370.
• Halidu, J., Abubakar, L., Izge, U.A, Ado, S.G.,, Yakubu,ld, H., and Haliru, B.S. (2015). Correlation analysis for maize grain yield, other agronomic parameters and Striga affected traits under Striga infested/free environment. Journal of Plant Breeding and Crop Science, 7(1), 9-71.
• Jhakar, D.S., Singh, R., Ojha, V.K., and Kumar, S. (2017). Correlation studies in maize (Zea mays L.) for yield and other yield attributing characters. International Journal of Advanced Biological Research, 7(2), 246-248.
• Kaini, B.R. (2004). Increasing crop production in Nepal. In: D.P. Sherchan, K. Adhikari, B.K. Bista and D. Sharma (eds) Proceedings of the 24th National Summer Crops Research Workshop in Maize Research and Production in Nepal held in June 28-30, 2004 at NARC, Khumaltar, Lalitpur, Nepal, 15-19.
• Mandic, V., Bijelic, Z., Krnjaja, V., Tomica, Z., Sebic, Stanojkovic, A.S., Stanojkovic, A., and Petrovic, C. (2016). The effect of crop density on maize grain yield. Biotechnology in Animal Husbandry, 32 (1), 83-90.
• MOAD. (2015). Nepal portolio performance review (NPPR). Ministry of Agricultural Developmentt, Singhadurbar, Kathmandu, Nepal. Noor, M., Rahman, H.UR., Durrishahwar, Iqbal M., Shah, S.M.A., and Ihteramullah. (2010). Evaluation of maize Half-Sib families for maturity and grain yield attributes. Sarhad Journal of Agriculture, 26(4), 545-549.
• Pathik, D.S. 2002. Maize research achievements and constraints. In: Rajbhandari, N.P., J.K. Ransom, K. Adhikari and A.F.E. Palmer (eds.), 2002. Sustainable maize production systems for Nepal: proceedings of a maize sympodium held, December 3-5, 2001, Kathmandu, Nepal. Kathmandu: NARC and CIMMYT, 7-12.
• Paudyal, K.R., Ransom, J.K., Rajbhandari, N.P., Adhikari, K., Gerpacio, R.V. & Pingali, P.L. (2001).Maize in Nepal: Production systems, constraints, and priorities for research. NARC and CIMMYT. Kathmandu. Nepal, 48p.
• Sadek, S.E., Ahmed, M.A., and Elghaney, H.M. (2006). Correlation and Path Coefficient analysis in five parent inbred lines and their six white maize (Zea mays L.), Journal of Applied Sciences Research, 2, 159-167.
• Shafi, M., Bakht, J., Ali, S., Khan, H., Khan, M.A., and Sharif, M. (2012). Effect of planting density on phenolgy, growth and yield of maize (Zea mays L.) Pakistan Journal of Botany, Karachi, 44(2), 691-696.
• Shafi, R.S., Sedghi M., and Gholipouri, A. (2009). Effect of population density on yield and yield attributes of maize hybrids. Research Journal of Biolocial Sciences, 4(4), 375-379.
• Shrestha, J. (2015). Growth and Productivity of Winter Maize (Zea mays L.) Under Different Levels of Nitrogen and Plant Populations. Universal-Publishers, 2015.
• Silva, P.S.L, Silva, P.I.B, Soares, E.B., Silva, E.M., and Santos, L.E.B. (2014).Green ear and grain yield of maize grown at sowing densities. Revista Caatinga, Mossoró, 27(1), 116-121.
• Silva, T.N., Moro, G.V., Moro, F.V., Santos, D.M.M., and Rodolfo, B. (2016). Correlation and path analysis of agronomic and morphological traits in maize. Revista Ciencia Agronomica, 47(2), 351-357.
• Steel, R.G.D. and Torrie, J.H. (1980). Principles and Procedures of Statistics. In: A biometrical approach. 2nd edition, McGrew-Hill, New York, USA, 20-90.