The research investigation was carried out in the
experimental area of Sher-e-Bangla Agricultural university, Sher-e-Bangla
Nagar, Dhaka-1207, during the late Rabi
season Mid December to May 2018 to study the genetic diversity with cluster
analysis for the 35 maize genotypes as experimental materials that were
laid out in Randomized Complete Block Design (RCBD) with three replications.
The research work was oriented to calculate and estimate the yield factor
through analyzing genetic diversity involving the yield contributing
characters. The maximum yield per plant (117.51 g) was estimated in the
genotype G12 (Pacific) and the minimum yield per plant (51.89 g) was recorded
in the genotype G17 (Dekalb Super). Due to
the crossing among the 35 maize genotypes, a wide range of divergence
was observed in this experiment. The highest
genotypes were included in cluster number V with 12 genotypes: BHM-5,
PAC-60, Pacific-98, HP-222, Khai Bhutta, AS-999, Pioneer, Duranta, Kaveri 218, Chamak-07 and Golden-984. Here, the intra
cluster distance was observed in cluster I (1.23), II (0.00), III
(0.76), IV (2.08) and V (1.89) respectively. The highest intra cluster was
recorded in cluster IV (2.08) and the lowest in cluster III (0.76) that showed
that the genotypes within the intra cluster distances were closely related and inter cluster distances were recorded higher
and larger than intra cluster distances. Between inter and intra cluster
mean values, inter cluster distances were recorded higher than the intra
cluster distances which indicated wider genetic diversity among the genotypes
of different groups involved. The maximum value for the cluster distance D2 was
recorded in cluster III (18.740) followed by cluster II (15.470, 13.032). The
farthest cluster distance was recorded in cluster III that means it represented
the highest diversified genotypes than other clusters. The nearest cluster
distance was recorded in cluster IV and cluster V with 3.441 values which
denoted the less diversified genotypes. In this case, days to male flowering,
number of rows per cob, number of seeds per cob and 100-seed weight contributed
towards cluster mean performance, the maximum in cluster number V.
References
[1]
FAO (2016) World Agriculture: Towards 2015/2030 Summary Report. FAO, Rome.
[2]
Tollenaar, M. and Dwyer, L.M. (1999) Physiology of Maize. In: Smith, D.L. and Hamel, C., Eds., Crop Yield, Springer, Berlin, 169-204.
https://doi.org/10.1007/978-3-642-58554-8_5
[3]
Khan, R. and Dubey, R.B. (2015) Combining Ability Analysis for Nutritional Quality and Yield in Maize (Zea mays L.). The Bioscan, 10, 785-788.
[4]
BBS (2017) Statistical Yearbook of Bangladesh. Bangladesh Bureau of Statistics, Statistics Division, Ministry of Planning, Government of the People’s Republic of Bangladesh, Dhaka, 9-190.
[5]
BBS (2012) Statistical Yearbook of Bangladesh. Bangladesh Bureau of Statistics, Statistics Division, Ministry of Planning, Government of the People’s Republic of Bangladesh, Dhaka.
[6]
BBS (2015) Statistical Yearbook of Bangladesh. Bangladesh Bureau of Statistics, Statistics Division, Ministry of Planning, Government of the People’s Republic of Bangladesh, Dhaka.
[7]
Naushad, A., Turi, S., Shah, S., Ali, S., Rahman, H., Ali, T. and Sajjad, M. (2007) Genetic Variability for Yield Parameters in Maize (Zea mays L.) Genotypes. Journal of Agricultural and Biological Science, 2, 1-3.
[8]
Muhammad, B.A., Muhammad, R., Hussain, A., Tariq, M. and Sarwar, M. (2003) Character Association and Path Coefficient Analysis of Grain Yield Components Maize (Zea mays L.). Pakistan Journal of Biological Sciences, 6, 136-138.
https://doi.org/10.3923/pjbs.2003.136.138
[9]
OECD-FAO (2018) Agricultural Outlook 2018-2027.
[10]
Abdurakhmonov, I.Y. and Abdukarimov, A. (2008) Application of Association Mapping to Understanding the Genetic Diversity of Plant Germplasm Resources. International Journal of Plant Genomics, 2008, Article ID: 574927.
https://doi.org/10.1155/2008/574927
[11]
Singh, P., Singh, P. and Mukul, K. (2013) Genetic Variability and Analysis of Yield Components in Linseed Germplasm. Annals of Agricultural Research, 16, 164-167.
[12]
Sumanth, V., Suresh, B.G., Ram, B.J. and Srujana, G. (2017) Estimation of Genetic Variability, Heritability and Genetic Advance for Grain Yield Components in Rice (Oryza sativa L.). Journal of Pharmacognosy and Phytochemistry, 6, 1437-1439.
[13]
Adhikari, B.N., Pokhrel, B.B. and Shrestha, J. (2018) Evaluation and Development of Fingermillet (Eleusine coracana L.) Genotypes for Cultivation in High Hills of Nepal. Farming & Management, 3, 37-46.
https://doi.org/10.31830/2456-8724.2018.0001.7
[14]
Pal, S., Sharma, H.R., Rai, A.K. and Bhardwaj, R.K. (2016) Genetic Variability, Heritability and Genetic Gain for Yield and Quality Traits in Cucumber (Cucumis sativus L.) Genotypes. The Bioscan, 11, 1985-1990.
[15]
Girma, B.T., Kitil, M.A., Banje, D.G., Biru, H.M. and Serbessa, T.B. (2018) Genetic Variability Study of Yield and Yield Related Traits in Rice (Oryza sativa L.) Genotypes. Advances in Crop Science and Technology, 6, Article No. 381.
[16]
Shukla, S., Bhargava, A., Chatterjee, A., Srivastava, A. and Singh, S.P. (2006) Genotypic Variability in Vegetable Amaranth (Amaranthus tricolor L.) for Foliage and Its Contributing Traits over Successive Cuttings and Years. Euphytica, 151, 103-110. https://doi.org/10.1007/s10681-006-9134-3
[17]
Aditya, J.P. and Bhartiya, A. (2013) Genetic Variability, Correlation and Path Analysis for Quantitative Characters in Rainfed Upland Rice of Uttarakhand Hills. Journal of Rice Research, 6, 24-34.
[18]
FAO-UNDP (1988) Land Resources Appraisal of Bangladesh for Agricultural Development. Report 2. Agroecological Regions of Bangladesh. FAO, Rome.
[19]
Rahman, M.M. and Alam, M. (2010) Disappearing Forest Tree Species Diversity in Tropical Moist Deciduous Forest and Its Implications: A Case Study in the Madhupur Tract of Central Bangladesh. Journal of Forest Science, 26, 161-170.
[20]
SRDI (2001) Land and Soil Resources Utilization Guide (In Bengali) Upazila Nirdeshica Series-Madhupur Upazila, Soil Resources Development Institute, Dhaka.
[21]
Gomez, K.A. and Gomez, A.A. (1984) Statistical Procedure for Agricultural Research. 2nd Edition, John Willey & Sons, Singapore, 28-192.