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Estimation of some genetic parameters and correlation in the varieties of bread wheat under the conditions of Al Diwaniyah

By: Riyadh Jabbar Al-maliki

Key Words: Varieties, Wheat, Genetic parameters, Expected genetic improvement, Genetic link.

J. Bio. Env. Sci. 13(5), 224-229, November 2018.

Certification: jbes 2018 0073 [Generate Certificate]


A field experiment was carried out in the fields of one of the farmers in AL Diwaniyah Governorate for the winter season 2015/2016 using nine varieties of wheat bread (Tamoze 1, Tamoze 2, Maksebak, Sabah, Eba 95, Latifia, Eba 99, Abu Ghraib and Sham 6). RCBD Used design with three replicate in order to estimation of some genetic parameters and correlation of bread wheat varieties under the experiment Diwaniyah to determine the most effect characters on yield that can be used as guide to select and improve the yield, an account Genetic and phenotypic variation, correlation coefficient, inheritance ratio in broad and narrow expected genetic improvement ratio for character height plant, number of Branches, spike length, number of grains spike, weight of 1000 and yield. The results showed that there were significant differences between the cultivars, with the superiority of the Eba 99 by giving the highest rate of 1043.3kg / acre between the varieties. There were significant differences between the studied characters Abu Ghraib 99 the superiority in number of branches, length of spick, number of the seed spick and weight of 1000 grin their average (11.33, 12.0, 66.3 and 47.3gram, respectively), which were positively reflected in grain yield. The genetic, environmental and morphological differences of the studied character were significant and the values of the genetic and phenotypic factors were correlated to most traits and inheritance in the broad sense higher (0.592 – 0.728). As an average percentage medal of most traits, but genetic and phenotypic correlation were significant in the desired direction of most yield and therefore yield can be considered as an electoral tool in breeding and plant improvement programs.

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Estimation of some genetic parameters and correlation in the varieties of bread wheat under the conditions of Al Diwaniyah

Agrarwal V, Ahmed Z. 1982. Heritability and genetic advance in Indian J. Agric. Res 16, 19-23.

Ahmed A, Abbas SH. 2010. Analysis of the path analysis and genetic improvement expected for several genotypes of coarse wheat. Kufa Journal of Agricultural Sciences 2, 109-121.

Ahmed N, Chowdhry MA, Khaliq I, Maekawa M. 2007. The inheritance of yield and yield components of five wheat hybrid populations under drought conditions.Indonesian J. Agric. Sci 8(2), 53-59.

Akcura M, Kaya Y, Taner S, Ayranci R. 2006. Parametric stability analyses for grain yield of durum wheat. Plant Soil Environ 52(6), 254–261.

Ali, Abd AA. 1999. Hyperbaric Hybridization and Gene Action in Yellow Corn PhD Thesis, College of Agriculture and Forestry, University of Mosul.

Al-Jubouri RM, Aziz JM, Ibrahim M. 2014. Estimation of links and path analysis in bread wheat, Tikrit University Journal of Agricultural Sciences – Special Issue of the Specialized Conference / Plant Production for 26-27 /3/2014.

Al-Maliky RJM. 2017. Study of the phenotypic stability of several varieties of wheat. Tikrit University Journal of Agricultural Sciences N 2 V17.

Al-Qasim S. 2009. Challenges of Arab Food Security: Wheat. Arab Farmer Magazine. No. 33.

Alrrator KM. 1987. Introduction to regression analysis, Directorate of Dar al-Books for printing and publishing, Mosul University.

Al-Sahuki MM, Ali HG, Ahmed MG. 1983. Plant breeding and improvement. Ministry of Higher Education and Scientific Research. University of Al Mosul. Iraq.

Ayoub MH. 2004. Correlation and path parameters and evidence for the election of the grain and its components in bread Wheat. Journal of Science Rafidain, Volume 17 N1.

Bactash FY. 2001. Improve bread wheat by selecting pure chains. Journal of Agricultural Sciences of Iraq 32(3), 87-92.

Bahlouli F, Bouzerzour H, Benmahammed A, Hassous KL. 2005. Selection for higyielding and risk efficient durum wheat (Triticum durum Desf.) cultivars under semiarid conditions. J. Agron 4(4), 360 – 365.

Ehdaie B, Waines JG. 1989. Genetic variation, heritability and path-analysis in landraces of bread wheat from southwestern Iran. Euphytica 41(3), 183-190.

Falconer DS. 1981. Introduction to quantitative genetic 3 rd edition longman, NY.

Hanson CH, Roubuson H, Comstock F. 1956. Biometrical studies of yield in sager gating population of K oven lespedeza. Agron. J 48, 268-272.

Johanson JW, Robinson HF, Comstock RE. 1955. Estimates of genetic and environmental variability in soy bean. Agron. J 47, 314-318.

Kempthorme B. 1957. An introduction to genetic statistics. John wiley and Sons, New York.

Kempthorme B. 1969. An introduction to genetic statistic. Ames Iowa State Univ. Press.

Mather K, Jinks JL. 1982. Biometrical genetic (3 rd ed ) Chapman And Hall. London, UK. PP. 396.

Rachid MS. 1989. Correlation and analysis of the coefficient of pathway and the expected genetic improvement of some traits in bread wheat (aestivum L) Tritium (Master, college of Science, University of Mosul.

Ulker M, Sonmez F, Ciftci V, Yilmaz N, Apak R. 2006. Adaptation and stability analysis in the selected lines of tir wheat. Pak. J. Bot 38(4), 1177-1183.

Walter AB. 1975. Manual of quantitative genetic (3rd edition ) Washington State Unv. Pres. U.S.A.

Riyadh Jabbar Al-maliki.
Estimation of some genetic parameters and correlation in the varieties of bread wheat under the conditions of Al Diwaniyah.
J. Bio. Env. Sci. 13(5), 224-229, November 2018.
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