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Research Paper | July 1, 2018

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Effect of different environmental location on the estimation of genetic parameters in the characters of growth and yield of varieties of wheat

Riyadh Jabbar Mansour Al-Maliki

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J. Bio. Env. Sci.13(1), 307-315, July 2018


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An experiment on nine varieties of wheat (tamoz 1, tamoz 2, Abba 95, Abba 99, maxebak, alrasheed, latefeae, Abu greeb and Sham 6) was carried out in three different locations (Wasit, Diwaniya and Dhi- Qar) during winter 2016-17. In order to estimate some of genetic traits. The experiment was applied according to RCBD, with three replicates. Assess the components of phenotypic variation (G and E) based on expected mean variance of the fixed model. The predicted genetic improvement was assessed and the phenotypic, genetic and environmental variances were significantly tested for zero. According to the environmental, genetic, and phenotypic variation, the extent of inheritance in the broad sense, and the limits of expected genetic improvement. alrasheed cultivar was the best in yield (4.267, 4.532, and 4.308 tons .e.1) for the location respectively. The second site gave the highest average grain yield (3.600 tons.h-1). Wasit Governorate recorded the highest variance and environmental difference coefficient (862.5 and 3.38) respectively. Diwaniyah Governorate achieved the highest genetic and phenotypic differences (27659.722 and 28522.222) respectively. While the province of Dhi-Qar showed a difference of genetic and phenotypic (18.693 and 18.847) sequentially. Dhi-Qar recorded highest inheritance rate in the broad sense (0.98), highest expected genetic and improvement percentage (244.963,28.738%), Compared to the governorates of Wasit and Diwaniyah.


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Effect of different environmental location on the estimation of genetic parameters in the characters of growth and yield of varieties of wheat

Abd El, Mohsen AA, Amein MM. 2016. Comparing two statistical models for studying genotype x environment interaction and stability analysis in flax. Intl J. Farm and Alli Sci 5(4), 278-289.

Agarwal V, Ahmad Z. 1982. Heritability and genetic advance in triticale. Indian J. Agric. Res 16, 19-23.

Bhatta M. 2015. Effect of Genotype, Environment, and Production Packages on Yield, Agronomic Characteristics, and End-Use Quality of Winter Wheat. A Thesis, M. S. University of Nebraska pp.1-97.

Bornhofen E, Benin G, Storck L, Marchioro VS, Meneguzzi C, Milioli AS, Trevizan DM. 2017. Environmental effect on genetic gains and its impact on bread-making quality traits in brazilian spring wheat. Chilean J. Agri. Res 77(11), 27-34.

Chenu K, Cooper M, Hammer GL, Mathews KL, Dreccer MF, Chapman SC. 2011. Environment characterization as an aid to wheat improvement: interpreting genotype–environment interactions by modeling water-deficit patterns in North-Eastern Australia. J. Exp. Botany 62(6), 1743-1755.

Demisie D. 2016. Genotype by Environment Interaction and Yield Stability Analysis of Ethiopian Bread Wheat Using Mixed Model. Haramaya University, Haramaya pp.78.

Falconer DS. 1981. Introduction to Quantitative Genetics, Ed. 2. Longmans Green, London/New York pp.365.

Hanson CH, Roubuson HF, Comstock. 1956. Biometerical studies of yield in seger gating population of Kovean Lespedeza. Agron. J. 48, 268-272.

Herrera LAC, Crossa J, Espino JH, Autrique E, Mondal S, Velu G, Vargas M, Braun HJ, Singh RP. 2017. Genetic yield gains in cimmyt’s international elite spring wheat yield trials by modeling the genotype environment interaction. Crop Sci 57, 789-801.

Khalil IH, Ul-Wahab A, E-Nayab D, Ghani SS, Ullah H. 2016. Heritability and selection response for morphological and yield traits in normal and late planted wheat. Advances in Envi.Bio 10(9), 172-179.

Khan IFU, Khalil IH. 2011. Environmental effect on wheat phenology and yields. Sarhad J. Agric 27(3), 395-402.

Mather K, Jinks JL. 1982. Biometrical genetics, the study of continuous variation, third Ed, Chapman & Hall, London, New York, J. Basic Microbiology 26(1), 62.

Mehari M, Tesfay M, Yirga H, Mesele A, Abebe T, Workineh A, Amare B. 2015. GGE biplot analysis of genotype-by-environment interaction and grain yield stability of bread wheat genotypes in South Tigray, Ethiopia. Communications In Biometry and Crop Sci 10(1), 17-26.

Mohamed NEM. 2013. Genotype by environment interactions for grain yield in bread wheat (Triticum aestivum L.). J. of Plant Breeding and Crop Science 5(7), 150-157.

Mohammadi M, Ghojigh H, Khanzadeh H, Hosseinpour T, Armion M. 2016a. Assessment of yield stability of spring bread wheat genotypes in multi environment trials under rainfed conditions of Iran using the AMMI model. Crop Breeding J. 4, 5 and 6(2; 1 and 2), 59-66.

Mohammadi R, Farshadfar E Amri A. 2016 b. Path analysis of genotype × environment interactions in rainfed durum wheat. Plant Prod. Sci 19(1), 43-50.

Mutwali NIA, Mustafa AI, Gorafi YSA, Ahmed IAM. 2015. Effect of environment and genotypes on the physicochemical quality of the grains of newly developed wheat inbred lines. Food Science and Nutrition 4(4), 508-520.

Storck L, Benin G, Marchioro VS, Silva RR, Woyann LG, Bornhofen E. 2016. Strategy for grouping wheat genotypes according to environmental responses in multi-location trials. Aus. J. Crop Sci 10(4), 571-578.

Subira J, Alvaro F, LuisF, Moral G, Royo C. 2015. Breeding effects on the cultivar × environment interaction of durum wheat yield. Europ. J. Agron 68, 78-88.

Walter AB. 1975. Manual of quantitative genetics (3rd edition) Washington State Univ. Press. U.S.A pp.593.


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