Araştırma Makalesi
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Yıl 2022, Cilt: 5 Sayı: 1, 21 - 26, 01.01.2022
https://doi.org/10.47115/bsagriculture.912411

Öz

Kaynakça

  • Akongo GO, Gombya-Ssembajjwe W, Buyinza M, Namaalwa J. 2017. Characterization of rice production systems in Northern Agro-Ecological Zone, Uganda. J Agri Sci, 10(1): 272-282.
  • Biswaranjan B, Simanchal S, Rajesh K, Ritu K. 2018. Studies on genetic variability for some metric traits in slender grain rice genotypes. J Applied Nat Sci, 10(1): 375-378.
  • Burton GW. 1952. Quantitative inheritance in grasses. In Proceedings of the Sixth International Grassland Congress, August 17-23, Pennsylvania State College, State College, Pennsylvania, USA, (1), 277-283.
  • Dogara AM, Jumare AI. 2014. Origin, distribution, and heading date in cultivated rice. Int J Plant Biol Res, 2: 2-6.
  • FAO. 2018. Food and agriculture organization of the united nations statistics division. URL: https://www.fao.org/home/en (accessed date: March 23, 2020).
  • Haggblade S, Dewina R. 2010. Staple food price in Uganda. URL: https://core.ac.uk/download/pdf/6449502.pdf (accessed date: March 23, 2020).
  • Johnson HW, Robinson HF, Comstock RE. 1955. Estimates of genetic and environmental variability in soybean. Agron J, 47: 314-318.
  • Kijima Y, Sserunkuuma D. 2006. The adoption of NERICA rice varieties at the initial stage of the diffusion process in Uganda. African J Agric Res Econ, 8: 1-11.
  • Kijima, Y. 2012. Expansion of lowland rice production and constraints on a rice green revolution. JICA-RI working paper, No. 49, URL: https://www.jica.go.jp/jica-ri/publication/workingpaper/post.html (accessed date: March 23, 2020).
  • Nikki K, Parmar M. 2020. Heritability and genetic advance analysis in rice (Oryza sativa L.) genotype under aerobic condition. Int J Curr Microbiol App Sci, 9(3): 1196-1204.
  • Payne RW, Murray DA, Harding SA, Baird DB, Soutar DM. 2009. An introduction to GenStat for Windows. VSN International, 5. The Waterhouse, Waterhouse Street, Hemel Hempstead, London, UK 12th ed., pp. 287.
  • Senapati BK, Kumar A. 2015. Genetic assessment of some phenotypic variants of rice (Oryza spp.) for some quantitative characters under the genetic plains of West Bengal. African J Biotechnol, 14(3): 187-201.
  • Seyoum M, Alamerew S, Bantte K. 2012. Genetic variability, heritability, correlation coefficient, and path analysis for yield and yield-related traits in upland rice (Oryza sativa L.). J Plant Sci, 7(1): 13-22.
  • Sravan T, Rangare NR, Suresh BG, Kumar SR. 2012. Genetic variability and character association in rainfed upland rice (Oryza sativa L.) J Rice Res, 5(1-2): 24-28.
  • Suwansa C, Charassri N, Nattapon J, Watcharin S. 2017. Genetic diversity, genetic variability, and path analysis for yield and its components in indigenous upland rice (Oryza sativa L. var. glutinosa). Songklanakarin J Sci Technol, 40(3): 609-616.

Genetic Divergence of Lowland Rice (Oryza sativa L.) Genotypes in Uganda

Yıl 2022, Cilt: 5 Sayı: 1, 21 - 26, 01.01.2022
https://doi.org/10.47115/bsagriculture.912411

Öz

Forty-eight lowland rice genotypes with two checks were evaluated for agronomic performance, genetic variability, heritability, and genetic advance for yield and yield contributing traits. Genotypes SR33859-HB3324-133 (45.7 qha-1), SR33859-HB3324-93 (40.2 qha-1) were the high yielding genotypes above the better check. The analysis of variance showed significant differences for all measured traits and indicating the presence of high genetic variability among genotypes. A highly significant (P≤0.001) correlations were observed between flag leaf length and plant height (rp= 0.76 and rg=0.84), panicle length and plant height (rp= 0.77, rg= 0.90), and panicle length and flag leaf length (rp= 0.75 and rg= 0.89). The estimates of GCV were lower than the respective PCV for all traits, indicating the influence of environmental factors on the expression of the traits. Characters like grain yield (94 % and 90.9), flag leaf length (97 % and 71.6), number of effective tillers per hill (91 % and 67.2) and plant height (99.0 % and 50.7) showed high heritability coupled with moderate genetic advance as percent of the mean, which suggesting that these traits are controlled by the additive type of gene action and selection could be possible for the improvement of these characters. Moderate heritability estimates with low genetic advance as percent of the mean were recorded for flag leaf width and number of days to maturity indicated the presence of non-additive gene effects, and selection for these traits would be poor. As a result, the variability that exists in the germplasm provides an opportunity to use these genotypes in the genetic improvement program.

Kaynakça

  • Akongo GO, Gombya-Ssembajjwe W, Buyinza M, Namaalwa J. 2017. Characterization of rice production systems in Northern Agro-Ecological Zone, Uganda. J Agri Sci, 10(1): 272-282.
  • Biswaranjan B, Simanchal S, Rajesh K, Ritu K. 2018. Studies on genetic variability for some metric traits in slender grain rice genotypes. J Applied Nat Sci, 10(1): 375-378.
  • Burton GW. 1952. Quantitative inheritance in grasses. In Proceedings of the Sixth International Grassland Congress, August 17-23, Pennsylvania State College, State College, Pennsylvania, USA, (1), 277-283.
  • Dogara AM, Jumare AI. 2014. Origin, distribution, and heading date in cultivated rice. Int J Plant Biol Res, 2: 2-6.
  • FAO. 2018. Food and agriculture organization of the united nations statistics division. URL: https://www.fao.org/home/en (accessed date: March 23, 2020).
  • Haggblade S, Dewina R. 2010. Staple food price in Uganda. URL: https://core.ac.uk/download/pdf/6449502.pdf (accessed date: March 23, 2020).
  • Johnson HW, Robinson HF, Comstock RE. 1955. Estimates of genetic and environmental variability in soybean. Agron J, 47: 314-318.
  • Kijima Y, Sserunkuuma D. 2006. The adoption of NERICA rice varieties at the initial stage of the diffusion process in Uganda. African J Agric Res Econ, 8: 1-11.
  • Kijima, Y. 2012. Expansion of lowland rice production and constraints on a rice green revolution. JICA-RI working paper, No. 49, URL: https://www.jica.go.jp/jica-ri/publication/workingpaper/post.html (accessed date: March 23, 2020).
  • Nikki K, Parmar M. 2020. Heritability and genetic advance analysis in rice (Oryza sativa L.) genotype under aerobic condition. Int J Curr Microbiol App Sci, 9(3): 1196-1204.
  • Payne RW, Murray DA, Harding SA, Baird DB, Soutar DM. 2009. An introduction to GenStat for Windows. VSN International, 5. The Waterhouse, Waterhouse Street, Hemel Hempstead, London, UK 12th ed., pp. 287.
  • Senapati BK, Kumar A. 2015. Genetic assessment of some phenotypic variants of rice (Oryza spp.) for some quantitative characters under the genetic plains of West Bengal. African J Biotechnol, 14(3): 187-201.
  • Seyoum M, Alamerew S, Bantte K. 2012. Genetic variability, heritability, correlation coefficient, and path analysis for yield and yield-related traits in upland rice (Oryza sativa L.). J Plant Sci, 7(1): 13-22.
  • Sravan T, Rangare NR, Suresh BG, Kumar SR. 2012. Genetic variability and character association in rainfed upland rice (Oryza sativa L.) J Rice Res, 5(1-2): 24-28.
  • Suwansa C, Charassri N, Nattapon J, Watcharin S. 2017. Genetic diversity, genetic variability, and path analysis for yield and its components in indigenous upland rice (Oryza sativa L. var. glutinosa). Songklanakarin J Sci Technol, 40(3): 609-616.
Toplam 15 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Ziraat Mühendisliği
Bölüm Research Articles
Yazarlar

Zelalem Zewdu 0000-0003-3727-7129

Yayımlanma Tarihi 1 Ocak 2022
Gönderilme Tarihi 9 Nisan 2021
Kabul Tarihi 12 Ekim 2021
Yayımlandığı Sayı Yıl 2022 Cilt: 5 Sayı: 1

Kaynak Göster

APA Zewdu, Z. (2022). Genetic Divergence of Lowland Rice (Oryza sativa L.) Genotypes in Uganda. Black Sea Journal of Agriculture, 5(1), 21-26. https://doi.org/10.47115/bsagriculture.912411

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