Welcome to International Network for Natural Sciences | INNSpub

Paper Details

Research Paper | May 1, 2016

| Download 2

Study of variability in bread wheat (Triticum aestivum L.)

MA Rahman, ML Kabir, M Hasanuzzaman, MA Rahman, RH Rumi, MT Afrose

Key Words:

Int. J. Agron. Agri. Res.8(5), 66-76, May 2016


IJAAR 2016 [Generate Certificate]


A field experiment was conducted at Central Research Farm, Hajee Mohammad Danesh Science and Technology University, Dinajpur with 12 wheat genotypes collected WRC (Wheat Research Center), Dinajpur during 2013-2014 to study their variability and select genotypes for improvement of wheat. There was significant variation for all the 13 characters studied indicating the presence of considerable variations for selection. All the genotypes were earlier in heading than Agrani. Heading days (HD), plant/ m2 (PPM), spikelet per spike (SPS) and 1000 grains weight (TGW) exhibited high heritability coupled with a moderate genetic advance. These characters had also medium to high genotypic coefficient of variation and phenotypic coefficient of variation coupled with high to moderate heritability and genetic advance. So, selection on the basis of these characters. Grain yield had positive and highly significant association with heading days, maturity days and 1000 grains weight at both genotypic and phenotypic levels. Grains per spike exhibited significantly negative association with grain yield per hectare. These results suggested that use of these traits in selecting high yielding genotypes would bring out good results and supplement empirical breeding approach.


Copyright © 2016
By Authors and International Network for
Natural Sciences (INNSPUB)
This article is published under the terms of the Creative
Commons Attribution Liscense 4.0

Study of variability in bread wheat (Triticum aestivum L.)

Anonymous. 2008. Statistical year Book. Bangladesh Bureau of statistics. Statistics Division, Ministry of planning, Govt. of the People’s Republic of Bangladesh P. 168.

Bayoumi RL, Gratius JE, Hatin SK. 2008.Genetic analysis of correlation sequential characters. International Journal of Plant Breeding 26, 423-432.

BBS. 2014. Estimation of wheat 2013-2014. Bangladesh Bureau of Statistics. Agriculture Wing. Parishankhyan Bhaban, Government Peoples Republic of Bangladesh. E-27/A, Agargaon, Dhaka – 1207.

Bergale S, Billore, Mridulla, Holkar AS, Ruwali KN, Prasad SVS. 2005. Genetic variability, diversity and association of quantitative traits with grain yield in bread wheat (Triticum aestivum L.) Madras-Agricultural- Journal 88(7/9), 457 -461.

Burton GM. 1998. Quantitative inheritance in grasses. International Journal of Plant Breeding 277-283.

Caldrini DF, Reynolds MP, Salfer GA. 1999. Genetic grains in wheat yield and main physiological charges associated with then durum the 20th century. In: Satorre, E11 and GA., Slafer, (eds.) wheat: Ecology and physiology of yield Determination. New York, Food Products Press.

Comstock RE, Robinsion HF. 1952. Genetic parameters, their estimation and significance, Proc. 6th. International Grassland Conference 1, 284-291.

FAO. 2013. International wheat Production Statistics. Rome, Italy: FAO: http://faostat.fao.org.

Fischer RA, Kertesz Z. 2000. Harvest index in spaced population and grain weight in microplots as indicators of yielding ability in spring wheat. Crop Science 16, 55-59.

Gautam DP, Garg D. 2002. Evaluation of genetic divergence in wheat (Triticum aestivum L.) germplasrn The Indian Journal of Genetics and Plant Breeding 56, 1.

Hanson KW, Johary F. 1956. Site of einkorn wheat domestication identifying by DNA fingerprinting. Science 278, 1312-1314.

Inamullah AS. 2006. Correlation and regression studies in wheat. Journal of Maharastra Agricultural University 14 (l), 84-85.

Jadhav DS, Anand SC. 1994. Studies on correlation and implication in selection in wheat. Madras Agricultural Journal 57 (10), 713-717.

Jagsharan WT, Lambert JM. 1995. Multivariate models in plant ecology.11.the use of an electric digital computer for association analysis. Journal Ecology 48, 689-710.

Jat F. 2003. Botany and breeding of wheat.In progressive wheat production. Centre d’Etude, Azote, Geneva. Switzerland.

Johnson  HW,  Robinson  HF,  Comstock  RE 2003. Estimation of genetic environmental variability in soyabean. Agronomy Journal 47, 314-318.

Kabir ML, Hasanuzzaman M, Rabby MK, Haque MR, Rahman W. 2015. Selection of parents for hybridization in wheat. International Journal of Agronomy and Agricultural Research 7(3), 76-84.

Khan NI, Shah MNK, Newaz A. 1999. Corcelation and path coefficient analysis in spring wheat (Triticum aestivum L.). Bangladesh Journal of Agrilultural Science 21, 365-370.

Korkut JT, Bacon RK, Gbur EE. 2011. Relationship of grain yield and test weight in soft red winter wheat. Cereal Research communication 23(1-2), 53-57.

Kumar B, Gaibriyal ML, Ruchi Ashish. 2009. Genetic variability, diversity and association of quantitative traits with grain yield in bread wheat Asian journal of agricultural sciences 1(1), 4-6.

Larik RS, Joshi AB. 2004. Correlation, path coefficients and the implication of discriminate function for selection in wheat. Journal of plant Breeding 25, 383-392.

Mahfoozi S, Roustaii M, Jasemi SH, Ketata H, David Flower B. 2004. Breeding for increasing wheat yield in the cold dryland regions of Iran. Proceeding of the 4th International/Crop Science Congress Brisbane, Australia, 26 Sep-1 Oct 2004/ ISBN 1 9208420 9/ www.Crop Science. Org. au

Miller PA, Williams JC, Rabinsion HF, Comstock RE. 1958. Estimates of genetic environmental variance and covariance and their implicating in selection. Agronomy Journal 50, 126-131.

Navin K, Marker S, Kumar V. 2014. Studies on heritability and genetic advance estimates in timely sown bread wheat. Bioscience Discvery 5(1), 64-69.

Rahman MH, Razzaque CA. 2009.Genetic study on yield and earliness in wheat. (Triticum aestivum L.) 8th Bangladesh Science Conference Bangladesh association for the Advancement of Science. p. 49-50.

Rauf S, Tariq SA, Hassan SW. 2012. Estimation of pedigree based diversity in the Pakistani wheat (Triticum aestivum L.) germplasm. Communications in Biometry and Crop Science 7(1), 14–22.

Robinson HF, Comstock RE, Harvey PH. 1949. Genotypic and phenotypic correlations in corn and their implications in selection. Agronomy Journal 43, 282-287.

Sangan MK, Murty BR. 1994. Genetic divergence in relation to geographical distribution in pear millet.Indian Jornal of Genetics 30, 704-715.

Singh V, Tewari SN. 1997. Analysis of variability for grain yield and other important characters in triticale. Journal of Maharashtra Agricultural University 15(3), 291-293.

Singh, Gyanendra, Khan MH, Bhan SK. 2008. Genetic divergence in wheat (Triticum aestivum L.) Intemational Journal of Plant Science Research 35, 1-4.

Steel RGD, Tories JH. 1960. Principles and procedures of statistics. McGraw Hill Book, New York pp. 107-109.

Sufian MA. 2005. Sustainable wheat production in Bangladesh in relation to climate change a key note paper presented at the work shop on “Sustainable Wheat Production” held at BRAC Centre in Dhaka on October 2005.

Zecevic S, Pawar IS. 2004. Genetic divergence for yield, its components and quality traits in bread wheat. Haryana-Agricultural-University-Journal-of– Research. 2007; 37(1), 27 -31.


Style Switcher

Select Layout
Chose Color
Chose Pattren
Chose Background