Heritability and interrelationship among traits of twenty Brassica genotypes
By: Shahab Ahmad, Haneef Raza, Abdul Saboor Khan, Fawad Ali, Naila Nawaz Khan, Murad Khan, Muhammad Nauman, Shahid Ali, Naimat Ullah, Sohail Ahmad, Khalid Khan
Key Words: Genetic potential, Heritability, Correlation, Selection response, Brassica cultivars
Int. J. Biosci. 10(5), 1-7, May 2017.
The genetic potential, heritability, selection response and correlation were studied during 2011-12 in brassica cultivars at the University of Agriculture, Peshawar, Pakistan. Data were recorded on days to maturity, plant height, pods per main raceme, pod width and 100-seed weight. Analysis of variance showed highly significant (P≤0.01) differences for all the traits. Mean ranges were days to maturity (178 to 205 days), plant height (174.7 to 215 cm), pods per main raceme length (27.0 to 56.3), pod width (0.3 to 0.5 cm) and 100-seed weight (0.25 to 0.41 g). Heritability and selection response were; days to maturity (0.70; 8.11), plant height (0.35; 8.7), pods main raceme-1, (0.68; 9.11), pod width (0.60; 0.06) and 100-seed weight (0.57; 0.04), respectively. Days to maturity revealed significant positive with plant height (r= 0.661**), pods per main raceme (r= 0.302*) and non-significant with 100-seed weight. Plant height revealed positive significant correlation with 100-grain weight (r= 0.375**) and non-significant with pods per main raceme and pod width. Similarly pods per main raceme exhibited positive non-significant correlation with 100-seed weight and negative with pod width. Whereas, pod width manifested negative correlation with 100-grain weight. Results revealed that the studied genotypes with larger genetic potential, positive relationship between yield and yield contributing traits and moderate to high heritability could guide intensive selection and improvement and could further be studied to identify better performing lines for Peshawar division.
Heritability and interrelationship among traits of twenty Brassica genotypes
Akbar M, Mahmood T, Yaqub M, Anwar M, Ali M, Iqbal N. 2003. Variability, correlation and path coefficient studies in summer mustard (Brassica Juncea L.). Asian Journal of Plant Science 2(9), 696-698.
Akbar M, Tahira M, Hussain. 2007. Heterosis for seed yield and its components in rapeseed. Journal of Agriculture Research 45(2), 95-104.
Ali N, Javidfar F, Elmira JY, Mirza MY. 2003. Relationship among yield components and selection criteria for yield improvement in winter rapeseed (Brassica napus L.). Pakistan Journal of Botany, 35(2), 167-174.
Ali Y, Farhatullah, RahmanH, Nasim A, Azam SM, Khan A. 2013. Heritability and correlation analysis for morphological and biochemical traits in Brassica carinata. Sarhad Journal of Agriculture, 29(3), 359-369.
Aytaç Z, Kinaci G. 2009. Genetic variability and
association studies of some quantitative characters in winter rapeseed (Brassica napus L.) African Journal of Biotechnology 8(15), 3547-3554.
Azadgoleh MA, Zamani M, Yasari E. 2009. Agronomical important traits correlation in rapeseed (B. napus L.) genotypes. Research Journal of Biological Sciences 5(5), 798-802.
Azam SM, Farhatullah, Nasim A, Shah S, Iqbal S. 2013. Correlation studies for some agronomic and quality traits in Brassica napus L. Sarhad Journal of Agriculture 29(4), 547-550.
Bilal M, Khan SA, Raza H, Ali F, Khan SM, Ali N, Hussain I, Khan J. 2015. Evaluation of some indigenous rapeseed genotypes for adaptability and yield traits in the agro-climatic conditions of Mansehra. International journal of Bioscience 7(5), 127-135.
Burton GW, Devane EH. 1953, Estimating heritability in tall fesque (Festuca arundinacea) from replicated clonal material. Agronomy Journal 45, 478-481. http://dx.doi.org/10.2134/agronj1953.00021962004500100005
Christopher GL, Andrew JR, Geraldine ACL, Clare JH, Jacqueline B, Gary B, German C, David S. 2005. Brassica ASTRA: an integrated database for Brassica genomic research. Nucleic Acids Research 33(2), 656-659.
Downey RK, Rakow GF. 1987. Rapeseed and mustard in principles of cultivar developments. (Ed.): W.R. Fehr. Mac. Pub. Co., New York, 2, 437-486.
Fehr WR. 1993. Principles of cultivar development: Vol. I. Theory and techniques. McMillan Pub. Co., USA.
Gaines CS, Finney PL, Raubenthaler G. 1996.
Milling and baking qualities of some wheat developed for Eastern or North-Western Regions of the United States and grown at both locations. Cereal Chemistry, 73, 521-525.
Khan AS, Salim I, Ali Z. 2003. Heritability of various morphological traits in wheat. International Journal of Agriculture and Biology, 138-140.
Kwon, SH, Torrie JH. 1964. Heritability and interrelationship among traits of two soybean population. Crop Science 4, 194-198.
Mahmood T, `Ali M, Iqbal S, Anwar M. 2003. Genetic variability and heritability estimates in Summer Mustard (B. juncea L.). Asian Journal of Plant Sciences 2(1), 77-79.
Nasim A, Farhatullah, Iqbal S, Shah S, Azam SM. 2013. Genetic variability and correlation studies for morpho-physiological traits in Brassica napus L. Pakistan Journal Botany 45(4), 1229-1234.
Nazeer A, Javidfar F, Elmira JY, Mirza M. 2003.Relationship among yield components and selection criteria for yield improvement in winter rapeseed (Brassica napus L.). Pakistan Journal of Botany, 35, 167-174.
Novoselovic D, Baric M, Drezner G, Gunjaca J, Lalic A. 2004. Quantitative inheritance of some wheat plant traits. Genetics and Molecular Biology, 27(1), 92-98.
Panse VG, Sukhatme PV. 1967. Statistical Methods for Agricultural Workers. Indian Council of
Agricultural Research, New Delhi.
Rakow G. 2004. Species origin and economicimportance of Brassica. In: Biotechnology in Agriculture and Forestry. (Eds.): E.C. Pua and C. J. Douglas. 54, 3-11.
Rich TCG. 1991. Crucifers of Great Britain and Ireland. Botanical Society of the British Isles (BSBI),
Sadat HA, Nematzadeh GA, Jelodar NB, Chapi OG. 2010. Genetic evaluation of yield and yield components at advanced generations in rapeseed (Brassica napus L.). African journal of agricultural research 5(15), 1958-1964.
Samad A, Khaleque MA. 2000. Diversity estimates of yield and some of the agronomical characters in rapeseed (B. campestris L.). Bangladesh Journal of Scientific and Industrial Research 35(1-4), 20-26.
Shukla S, Bhargava A, Chatterjee A 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). Journal of Genetics and Breeding, 58, 169-176.
Singh RK, Chaudhary BD. 1985. Biometrical methods in quantitative genetic analysis. Kalyani Publishers, New Delhi, Ludhiana, India, 39-78 P.
Sinha P, Singh SP, Andey IDP. 2001. Character isolation and path analysis in brassica species. Indian Journal Agriculture Research, 35(1), 63-65.
Steel RGD, Torrie JH, Dickey DA. 1997. Principles and procedures of statistics. A biometrical approach. 3rd Ed. McGraw-Hill, New York, NY.
Tahir MHN, Bashir S, Bibi A. 2006. Genetic potential of canola (Brassica napus L.) varieties under water stress conditions. Caderno de Pesquisasér. Biology 18(2), 127-135.
Warwick SI, Francis A, Al-Shehbaz IA. 2006. Brassicaceae species checklist and database on CD Rom. Plant Systematics and Evolution, 259, 249-258.
Zare M, Sharafzadeh S. 2012. Genetic
Variability of some rapeseed (Brassica napus L.) cultivars in Southern Iran. African Journal of Agriculture Research. 7(2), 224-229
Zhang G, Zhou W. 2006. Genetic analyses of agronomic and seed quality traits of synthetic oilseed brassica napus produced from inter specific hybridization of Brassica campestris and Brassica olearacea. Journal of Genetics 85(1), 45-51.
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