Araştırma Makalesi
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Yıl 2022, Cilt: 8 Sayı: 2, 118 - 127, 31.07.2022

Öz

Kaynakça

  • Ajay BC, Aravind J, Bera SK, Singh AL, Narendra K, Gangadhar K and Kona P, (2020). Evaluation of GEI and yield stability analysis in peanut under phosphorus stress condition using stability parameter of AMMI model. Agric Res 9: 477-486
  • Alwala S, Kwolek T, McPherson M, Pellow J and Meyer D, (2010). A comprehensive comparison between Eberhart and Russell joint regression and GGE biplot analyses to identify stable and high yielding maize hybrids. Field Crops Res. 119:225-230. doi:10.1016/j.fcr.2010.07.010
  • Cooper M and Byth DE, (1996). Understanding plant adaptation to achieve systematic applied crop improvement - a fundamental challenge. Plant adaptation and crop improvement. Edited by M. Cooper and G. L. Hammer. Wallingford, United Kingdom: CAB International. 5-23
  • Dehghani H, Ebadi A and Yousefi A, (2006). Biplot analysis of genotype by environment interaction for barley yield in Iran. Agron. J. 98:388-393. doi:10.2134/agronj2004.0310 Eberhart SA and Russell WA, (1966). Stability parameters for comparing varieties. Crop. Sci.6:36-40
  • Eberhart SA and Russell WA, (1969). Yield stability for a 10-line diallel of single-cross and double-cross maize hybrids. Crop Sci. 9, 357-361
  • Finlay KW and Wilkinson GN, (1963). The analysis of adaptation in a plant breeding programme. Aust. J. Agric. Res., 14:742-754
  • Gauch HG, (1992). Statistical analysis of regional yield trials: AMMI analysis of factorial designs. Elsevier, Amsterdam, Netherlands
  • Gomez KA and Gomez AA, (1984). Statistical Procedures for Agricultural Research. 2nd Ed. John Willey and Sons, Inc. New York. 641.
  • Letta T, (2009). Genotype environment interactions and correlation among stability parameters yield in durum wheat (Triticum durum Desf) genotypes grown in south east Ethiopia. African Crop Science Proceedings, 8:693-698
  • Maredia MK and Byerlee D, (eds.) (1999). The global wheat improvement system: Prospect for enhancing efficiency in the presence of spillovers. CIMMYT Research Report No. 5. Mexico D.F:CIMMY
  • Moldovan V, Moldovan M and Kadar R, (2000). Phenotypic stability for yield in chickpea. Pakistan of Science Research, 30:455-465
  • Naik A, Wani SH, Rafiqee S, Sofi M, Sofi NR, Shikari AB, Hussain A, Mohiddin F, Jehangir IA, Khan GH, Sofi MA, Sheikh FA, Bhat MA, Khan MN, Dar ZA and Rahimi M, (2022). Deciphering genotype × environment interaction by AMMI and GGE biplot analysis among elite wheat (Triticum aestivum L.) genotypes of himalayan region. Ekin J. 8(1):41-52
  • Öztürk İ, (2021). Genotypes × environment interaction and stability of bread wheat (Triticum aestivum L.) cultivar under rainfed conditions. International Journal of Innovative Approaches in Agricultural Research 2021, 5(3):257-268. doi:10.29329/ ijiaar.2021.378.1
  • Öztürk İ and Korkut ZK, (2018). Evaluation of drought tolerance indices and relationship with yield in bread wheat genotypes under different drought stress conditions. Journal of International Scientific Publications. Agriculture & Food. 6:359-367
  • Öztürk İ and Korkut KZ, (2020). Genotype x environment interaction analysis of Triticum aestivum L. for yield components. Agricultural Science and Technology, 12(1):6-12, (online). http://www.agriscitech.eu (Accessed 10 December 2021)
  • Petersen RG, (1994). Agricultural field experiments: Design and analysis. Marcel Dekker, New York. NY
  • Peterson CJ, Graybosch RA, Shelton DR and Baenziger PS, (1998). Baking quality of hard red winter wheat: Response of cultivars to environments in the Great Plains. Euphytica 100 (1-3):157-162
  • Pfeiffer WH and Braun HJ, (1989). Yield stability in bread wheat. In J. Anderson and PB Hazel eds. Variability in Grain Yields. Washington DC: John Hopkins Univ. and the Int. Food Policy Res. Inst. 8(2):118-127, 2022
  • Sharma RC, Morgounov AI, Braun HJ, Akin B, Keser M, Bedoshvili D, Bagcı A, Martius C and van Ginkel M, (2010). Identifying high yielding stable winter wheat genotypes for irrigated environments in Central and West Asia. Euphytica 171:53-64
  • Solomon T, Shewaye Y, Zegeye H, Asnake D, Tadesse Z and Girma B, (2018). Performance evaluation of advanced bread wheat genotypes for yield stability using the AMMI stability model. J. Agri. Res. 2018, 3(4): 000168. P:1-7.
  • Tai GCC, (1971). Genotypic stability analysis and its application to potato regional trials. Crop Sci. 11:184-190
  • Tsenov N, Atanasova D and Gubatov T, (2016). Influence of environments on the amount and stability of grain yield in the modern winter wheat cultivars II. evaluation of each variety. Ekin J. 2(1):57-73
  • Tsenov N, Gubatov T and Yanchev I, (2020). Correlations between grain yield and related traits in winter wheat under multi-environmental Traits. Agricultural Science and Technology, 12(4):295- 300, doi:10.15547/ast.2020.04.047
  • Yan W, Hunt LA, Sheng Q and Szlavnics Z, (2000). Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Sci. 40:597-605
  • Yan W and Kang MS, (2002). GGE biplot analysis: A graphical tool for breeders, geneticists and agronomists. New York, NY, USA: CRC Press.
  • Yan W and Rajcan IR, (2002). Biplot analysis of test sites and trait relations of soybean in Ontario. Canadian Journal of Plant Science 42:11-20
  • Yan W and Tinker NA, (2005). An integrated biplot analysis system for displaying, interpreting and exploring genotype × environment interaction. Crop Science 45(3):1004−1016
  • Yan W and Tinker NA, (2006). Biplot analysis of multi-environment trial data: Principles and applications. Can. J. Plant Sci. 86:623−645
  • Yan W, (2002). Singular value partitioning in biplot analysis of multi-environment trial data. Agron. J. 94:990−996
  • Yan W, Kang MS, Ma B, Woods S and Cornelius PL, (2007). GGE biplot vs. AMMI analysis of genotype-by-environment data. Crop Sci. 47: 643-653

Environment by Genotype Interaction and Stability of Bread Wheat (Triticum aestivum L.) Genotypes under Rainfed Conditions in Trakia Region

Yıl 2022, Cilt: 8 Sayı: 2, 118 - 127, 31.07.2022

Öz

The study was conducted in the Trakya region, Turkey at five environments during the 2015-2016 growing cycles. Grain
yield were subjected to analysis of variance (ANOVA), the additive main effect and multiplicative interaction (AMMI) and
genotype and genotype-by-environment (GGE) biplot analyses. ANOVA and AMMI analysis showed highly significant
(p < 0.01) differences among environments (E). Environment was responsible for the greatest part of the variation, followed
by genotype and its interaction effects. Average yield across five environments varied from the highest 6673 kg ha-1 to the
lowest 5008 kg ha-1. Across five environment Genotypes G7 and G12 had highest grain yield. Burgaz was found near the
ideal test environment of the average environment coordination. Therefore, this location should be used as the most suitable
to select widely adapted genotypes. For grain yield, cultivars Gelibolu, and G17, G8, and G12 lines were well adaptable
to all environmental conditions. The graphical result showed that the first principal component PC1 explained 44.71%
of the interaction sum of the square while the second principal component, PC2 explained 22.57% of some of the square
interaction. The result of PCA revealed that the 2 principal components contributed 67.27% of the total variability. In the
study, genotypes G12 and G17 selected in 2016 and then were released in 2019 named Anafarta and Abide, respectively.

Kaynakça

  • Ajay BC, Aravind J, Bera SK, Singh AL, Narendra K, Gangadhar K and Kona P, (2020). Evaluation of GEI and yield stability analysis in peanut under phosphorus stress condition using stability parameter of AMMI model. Agric Res 9: 477-486
  • Alwala S, Kwolek T, McPherson M, Pellow J and Meyer D, (2010). A comprehensive comparison between Eberhart and Russell joint regression and GGE biplot analyses to identify stable and high yielding maize hybrids. Field Crops Res. 119:225-230. doi:10.1016/j.fcr.2010.07.010
  • Cooper M and Byth DE, (1996). Understanding plant adaptation to achieve systematic applied crop improvement - a fundamental challenge. Plant adaptation and crop improvement. Edited by M. Cooper and G. L. Hammer. Wallingford, United Kingdom: CAB International. 5-23
  • Dehghani H, Ebadi A and Yousefi A, (2006). Biplot analysis of genotype by environment interaction for barley yield in Iran. Agron. J. 98:388-393. doi:10.2134/agronj2004.0310 Eberhart SA and Russell WA, (1966). Stability parameters for comparing varieties. Crop. Sci.6:36-40
  • Eberhart SA and Russell WA, (1969). Yield stability for a 10-line diallel of single-cross and double-cross maize hybrids. Crop Sci. 9, 357-361
  • Finlay KW and Wilkinson GN, (1963). The analysis of adaptation in a plant breeding programme. Aust. J. Agric. Res., 14:742-754
  • Gauch HG, (1992). Statistical analysis of regional yield trials: AMMI analysis of factorial designs. Elsevier, Amsterdam, Netherlands
  • Gomez KA and Gomez AA, (1984). Statistical Procedures for Agricultural Research. 2nd Ed. John Willey and Sons, Inc. New York. 641.
  • Letta T, (2009). Genotype environment interactions and correlation among stability parameters yield in durum wheat (Triticum durum Desf) genotypes grown in south east Ethiopia. African Crop Science Proceedings, 8:693-698
  • Maredia MK and Byerlee D, (eds.) (1999). The global wheat improvement system: Prospect for enhancing efficiency in the presence of spillovers. CIMMYT Research Report No. 5. Mexico D.F:CIMMY
  • Moldovan V, Moldovan M and Kadar R, (2000). Phenotypic stability for yield in chickpea. Pakistan of Science Research, 30:455-465
  • Naik A, Wani SH, Rafiqee S, Sofi M, Sofi NR, Shikari AB, Hussain A, Mohiddin F, Jehangir IA, Khan GH, Sofi MA, Sheikh FA, Bhat MA, Khan MN, Dar ZA and Rahimi M, (2022). Deciphering genotype × environment interaction by AMMI and GGE biplot analysis among elite wheat (Triticum aestivum L.) genotypes of himalayan region. Ekin J. 8(1):41-52
  • Öztürk İ, (2021). Genotypes × environment interaction and stability of bread wheat (Triticum aestivum L.) cultivar under rainfed conditions. International Journal of Innovative Approaches in Agricultural Research 2021, 5(3):257-268. doi:10.29329/ ijiaar.2021.378.1
  • Öztürk İ and Korkut ZK, (2018). Evaluation of drought tolerance indices and relationship with yield in bread wheat genotypes under different drought stress conditions. Journal of International Scientific Publications. Agriculture & Food. 6:359-367
  • Öztürk İ and Korkut KZ, (2020). Genotype x environment interaction analysis of Triticum aestivum L. for yield components. Agricultural Science and Technology, 12(1):6-12, (online). http://www.agriscitech.eu (Accessed 10 December 2021)
  • Petersen RG, (1994). Agricultural field experiments: Design and analysis. Marcel Dekker, New York. NY
  • Peterson CJ, Graybosch RA, Shelton DR and Baenziger PS, (1998). Baking quality of hard red winter wheat: Response of cultivars to environments in the Great Plains. Euphytica 100 (1-3):157-162
  • Pfeiffer WH and Braun HJ, (1989). Yield stability in bread wheat. In J. Anderson and PB Hazel eds. Variability in Grain Yields. Washington DC: John Hopkins Univ. and the Int. Food Policy Res. Inst. 8(2):118-127, 2022
  • Sharma RC, Morgounov AI, Braun HJ, Akin B, Keser M, Bedoshvili D, Bagcı A, Martius C and van Ginkel M, (2010). Identifying high yielding stable winter wheat genotypes for irrigated environments in Central and West Asia. Euphytica 171:53-64
  • Solomon T, Shewaye Y, Zegeye H, Asnake D, Tadesse Z and Girma B, (2018). Performance evaluation of advanced bread wheat genotypes for yield stability using the AMMI stability model. J. Agri. Res. 2018, 3(4): 000168. P:1-7.
  • Tai GCC, (1971). Genotypic stability analysis and its application to potato regional trials. Crop Sci. 11:184-190
  • Tsenov N, Atanasova D and Gubatov T, (2016). Influence of environments on the amount and stability of grain yield in the modern winter wheat cultivars II. evaluation of each variety. Ekin J. 2(1):57-73
  • Tsenov N, Gubatov T and Yanchev I, (2020). Correlations between grain yield and related traits in winter wheat under multi-environmental Traits. Agricultural Science and Technology, 12(4):295- 300, doi:10.15547/ast.2020.04.047
  • Yan W, Hunt LA, Sheng Q and Szlavnics Z, (2000). Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Sci. 40:597-605
  • Yan W and Kang MS, (2002). GGE biplot analysis: A graphical tool for breeders, geneticists and agronomists. New York, NY, USA: CRC Press.
  • Yan W and Rajcan IR, (2002). Biplot analysis of test sites and trait relations of soybean in Ontario. Canadian Journal of Plant Science 42:11-20
  • Yan W and Tinker NA, (2005). An integrated biplot analysis system for displaying, interpreting and exploring genotype × environment interaction. Crop Science 45(3):1004−1016
  • Yan W and Tinker NA, (2006). Biplot analysis of multi-environment trial data: Principles and applications. Can. J. Plant Sci. 86:623−645
  • Yan W, (2002). Singular value partitioning in biplot analysis of multi-environment trial data. Agron. J. 94:990−996
  • Yan W, Kang MS, Ma B, Woods S and Cornelius PL, (2007). GGE biplot vs. AMMI analysis of genotype-by-environment data. Crop Sci. 47: 643-653
Toplam 30 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Ziraat Mühendisliği
Bölüm Makaleler
Yazarlar

İrfan Öztürk Bu kişi benim

Yayımlanma Tarihi 31 Temmuz 2022
Yayımlandığı Sayı Yıl 2022 Cilt: 8 Sayı: 2

Kaynak Göster

APA Öztürk, İ. (2022). Environment by Genotype Interaction and Stability of Bread Wheat (Triticum aestivum L.) Genotypes under Rainfed Conditions in Trakia Region. Ekin Journal of Crop Breeding and Genetics, 8(2), 118-127.
AMA Öztürk İ. Environment by Genotype Interaction and Stability of Bread Wheat (Triticum aestivum L.) Genotypes under Rainfed Conditions in Trakia Region. Ekin Journal. Temmuz 2022;8(2):118-127.
Chicago Öztürk, İrfan. “Environment by Genotype Interaction and Stability of Bread Wheat (Triticum Aestivum L.) Genotypes under Rainfed Conditions in Trakia Region”. Ekin Journal of Crop Breeding and Genetics 8, sy. 2 (Temmuz 2022): 118-27.
EndNote Öztürk İ (01 Temmuz 2022) Environment by Genotype Interaction and Stability of Bread Wheat (Triticum aestivum L.) Genotypes under Rainfed Conditions in Trakia Region. Ekin Journal of Crop Breeding and Genetics 8 2 118–127.
IEEE İ. Öztürk, “Environment by Genotype Interaction and Stability of Bread Wheat (Triticum aestivum L.) Genotypes under Rainfed Conditions in Trakia Region”, Ekin Journal, c. 8, sy. 2, ss. 118–127, 2022.
ISNAD Öztürk, İrfan. “Environment by Genotype Interaction and Stability of Bread Wheat (Triticum Aestivum L.) Genotypes under Rainfed Conditions in Trakia Region”. Ekin Journal of Crop Breeding and Genetics 8/2 (Temmuz 2022), 118-127.
JAMA Öztürk İ. Environment by Genotype Interaction and Stability of Bread Wheat (Triticum aestivum L.) Genotypes under Rainfed Conditions in Trakia Region. Ekin Journal. 2022;8:118–127.
MLA Öztürk, İrfan. “Environment by Genotype Interaction and Stability of Bread Wheat (Triticum Aestivum L.) Genotypes under Rainfed Conditions in Trakia Region”. Ekin Journal of Crop Breeding and Genetics, c. 8, sy. 2, 2022, ss. 118-27.
Vancouver Öztürk İ. Environment by Genotype Interaction and Stability of Bread Wheat (Triticum aestivum L.) Genotypes under Rainfed Conditions in Trakia Region. Ekin Journal. 2022;8(2):118-27.