Araştırma Makalesi
BibTex RIS Kaynak Göster

Yıl 2023, Cilt: 33 Sayı: 1, 64 - 74, 31.03.2023

Mehmet Karaman Cuma Akıncı Mehmet Yıldırım

https://doi.org/10.29133/yyutbd.1195751

Öz

Destekleyen Kurum

Bu çalışmadanın 1.yılını; Dicle Üniversitesi Bilimsel Araştırma Projeleri Koordinatörlüğü ile Tarım ve Orman Bakanlığı Tarımsal Araştırma ve Politikalar Genel Müdürlüğü (TAGEM), 2. yılını ise sadece Tarım ve Orman Bakanlığı Tarımsal Araştırma ve Politikalar Genel Müdürlüğü (TAGEM) desteklemiştir.

Proje Numarası

1) DUBAP12-ZF-111 ve 2)TAGEM / TBAD / 13 / A12 / P01 / 012

Teşekkür

Dicle Üniversitesi Bilimsel Araştırma Projeleri Koordinatörlüğü ile Tarım ve Orman Bakanlığı Tarımsal Araştırma ve Politikalar Genel Müdürlüğü (TAGEM) yetkililerine bu projeyi desteklediklerinden dolayı teşekkür ederim.

Kaynakça

  • Aktas, H. (2016). Tracing highly adapted stable yielding bread wheat (Triticum aestivum L.) genotypes for greatly variable South-Eastern Turkey. Applied Ecology and Environmental Research, 14(4), 159-176.
  • Aydemir, S.K., Karakoy, T., Kokten, K. & Nadeem, M. A. (2019). Evaluation of yield and yield components of common vetch (Vicia sativa L.) genotypes grown in different locations of Turkey by GGE biplot analysis. Applied Ecology and Environmental Research, 17(6), 15203-15217.
  • Aydogan, S. & Soylu, S. (2017). Determination of yield, yield components and some quality properties of bread wheat varieties. Journal of Field Crops Central Research Institute, 26(1), 24-30.
  • Barutcular, C., EL Sabagh, A., Koç, M. & Ratnasekera, D. (2017). Relationships between grain yield and physiological traits of durum wheat varieties under drought and high temperature stress in Mediterranean conditions. Fresenius Environmental Bulletin, 26,4282-4291.
  • Beleggia, R., Platani, C., Nigro, F., De Vita, P., Cattivelli, L. & Papa, R. (2013). Effect of genotype, environment and genotype-by-environment interaction on metabolite profiling in durum wheat (Triticum durum Desf.) grain. Journal of Creal Science, 57, 183-192.
  • Erdemci, I. (2018). Investigation of Genotype × Environment Interaction in Chickpea Genotypes Using AMMI and GGE biplot Analysis. Turkish Journal of Field Crops, 23(1), 20-26.
  • Forgone, A.G. (2009). Physiological indicators of drought tolerance of wheat. Biology PhD program. University of Szeged Faculty of Science and Informatics Department of plant Biology, Szeged.
  • GENSTAT, (2009): Genstat for Windows (12th edition) Introduction. –VSN International, Hemel Hempstead.
  • Gomez, K.A. & Gomez, A.A. (1984): Statistical Procedures for Agricultural Research. 2nd Ed. John Willey and Sons, Inc. New York. 641.
  • Grausgruber, H., Oberforster, M., Werteber, M., Ruckenbauer, P. & Volmann, J. (2000). Stability of quality traits in Austrian-grown winter wheats. Field Crops Research, 66 (3), 257-267.
  • Hassanpanah, D. (2011). Analysis of G×E interaction using the additive main effects and multiplicative interaction (AMMI) in potato cultivars. African Journal of Biotechnology, 10, 154-158.
  • Kadum, M.N., N.A. Mutlag, & A.J. Al-Khazal. (2019). Evaluation of the performance of bread wheat genotypes in central region of Iraq by using selection technique. Research Journal of Chemistry and Environment, 23, 17-22.
  • Karaman, M., Aktaş, H., Başaran, M., Erdemci, İ., Kendal, E., Tekdal, S., Bayram, S., Doğan, H. & Ayana, B. (2017). Biplot analysis of some advanced bread wheat genotypes in terms of yield and quality parameters. Journal of Field Crops Central Research Institute, 26 (Special Issue): 45−51.
  • Kendal, E. & Doğan, Y. (2015). Stability of a candidate and cultivars (Hordeum vulgare L.) by GGE biplot analysis of multi-environment yield trial in spring barley. Agriculture & Forestry/Poljoprivreda i Sumarstvo, 61, 307-318.
  • Kendal, E., Tekdal, S. &, Karaman, M. (2019). Proficiency of biplot methods (AMMI and GGE) in the appraisal of triticale genotypes in multiple environments. Applied Ecology and Environmental Research, 17(3), 5995-6007.
  • Kilic, H., Yagbasanlar, T. & Tur, Z. (2003): Genotypic environment interaction of some agricultural properties in durum wheat, stability analysis with heritability estimates. Field Crops Congress of Turkey, 1: 52-57.
  • Kizilgeci, F., Albayrak, A., Yildirim, M. & Akinci, C. (2019a). Stability evaluation of bread wheat genotypes under varying environments by AMMI model. Fresenius Environmental Bulletin, 28, 6865-6872.
  • Kizilgeci, F., Yildirim, M. & Hossain, A. (2019b). Evaluation of growth, yield, quality and physiological parameters of eleven Australian bread wheat (Triticum aestivum L.) cultivars grown under the ecological condition of Diyarbakir, Turkey. International Journal of Agriculture, Environment and Food Sciences, 3(1), 34-40.
  • Mckendry, A., Mcvetty, P.B.E. & Evans, L.E., (2011). Inheritance of grain protein concentration, grain yield, and related traits in spring wheat (Triticum aestivum L.). Genome, 30(6), 857-864.
  • Mortazavian, S.M.M., Nikkhah, H.R., Hassani, F.A., Sharif-al-Hosseini, M., Taheri, M. & Mahlooji, M. (2014). GGE biplot and AMMI analysis of yield performance of barley genotypes across different environments in Iran. Journal of Agricultural Science and Technology , 16, 609-622.
  • Rozbicki, J., Ceglinska, A., Gozdowski, D., Jakubczak, M., Cacak, G., Madry, W., Golba, J., Piechocinski, M., Sobczynski, G., Studnicki, M. & Drzazga, T. (2015). Influence of the cultivar, environment and management on the grain yield and bread making quality in winter wheat. The Journal of Cereal Science, 61, 126-132.
  • Sakin, M.A., Naneli, İ., Göy, A.G. & Özdemir, K. (2015). Determination of Yield and Yield Components of Some Bread Wheat (Triticum aestivum L.) Varieties at Tokat-Zile Conditions. Journal of Agricultural Faculty of Gazi Osmanpasa University, 32 (3), 119-132.
  • Sharma, R.C. (1994), Early generation selection for grain filling period in wheat. Crop Science, 34, 945-948.
  • Yan, W. & Hunt. L.A. (2001). Interpretation of genotype x environment interaction for winter wheat yield in Ontario. Crop Science, 41, 19-25.
  • Yan, W. & M.S. Kang. (2003). GGE Biplot Analysis: a Graphical Tool for Breeders, Geneticists, and Agronomists. Boca Raton FL, CRC Press.
  • Yan, W. & N.A. Tinker. (2006). Biplot analysis of multi environment trial data: principles and applications. Canadian Journal of Plant Science, 86, 623–645.
  • Yan, W. (2001). GGE biplot-a windows application for graphical analysis of multi environment trial data and other types of two-way data. Agronomy Journal, 93, 1111-1118.
  • Yan, W., Hunt, L. A., Sheng, Q. & Szlavnics, Z. 2000.Cultivar evaluation and mega environment investigation based on the GGE biplot. Crop Science, 40(3), 597-605.
  • Yildirim, M., Barutçular, C., Hossain, A., Koç, M., Dizlek, H., Akinci, C., Toptaş, I., Basdemir, F., Islam, M. S. & EL Sabagh, A. (2018). Assessment of the grain quality of wheat genotypes grown under multiple environments using GGE biplot analysis. Fresenius Environmental Bulletin, 27, 4830-4837.
  • Zadoks J C, Chang T T & Konzak C F. (1974): A decimal code for the growth stages of cereals. Weed Research, 14, 415–421.

Heat Stress Response of Bread Wheat Genotypes Under High and Low Rainfall Environments

Yıl 2023, Cilt: 33 Sayı: 1, 64 - 74, 31.03.2023

Mehmet Karaman Cuma Akıncı Mehmet Yıldırım

https://doi.org/10.29133/yyutbd.1195751

Öz

The research was carried out to determine the yield, yield components, quality, and stability of the bread wheat (Triticum aestivum L.) genotypes in heat-stressed and water-limited environments for two years. ANOVA and GGE biplot analysis were applied to determine the differences and relationships of investigated traits belonging to 10 different wheat varieties. While grain yield (GY) is associated with thousand-grain weight (TGW) and test weight (TW); protein ratio (PR) was found to be positively correlated with heading time (HT) and the number of spikes per square meter (SN). Besides, spike weight (SW) was found to be negatively correlated with PR, HT, and (SN). The biplot graph showed that PC1 explained 83.67% of the variability and the proportion attributed to PC2 was 16.33%. The cultivar of Kate A-1 was the most stable genotype, according to the biplot graph and it could be visually determined from the biplot graph in PC1 and PC2 together to explain 100% of the variability. In terms of the quality characteristics examined, Tahirova 2000 passed other varieties. It was concluded that Kate A-1 and Anapo varieties can be used for grain yield-oriented breeding studies, while Tahirova 2000 and Karatopak varieties can be used as parents for quality purposes.

Anahtar Kelimeler

Heat and drought stress bread wheat GGE biplot grain yield stability

Proje Numarası

1) DUBAP12-ZF-111 ve 2)TAGEM / TBAD / 13 / A12 / P01 / 012

Kaynakça

  • Aktas, H. (2016). Tracing highly adapted stable yielding bread wheat (Triticum aestivum L.) genotypes for greatly variable South-Eastern Turkey. Applied Ecology and Environmental Research, 14(4), 159-176.
  • Aydemir, S.K., Karakoy, T., Kokten, K. & Nadeem, M. A. (2019). Evaluation of yield and yield components of common vetch (Vicia sativa L.) genotypes grown in different locations of Turkey by GGE biplot analysis. Applied Ecology and Environmental Research, 17(6), 15203-15217.
  • Aydogan, S. & Soylu, S. (2017). Determination of yield, yield components and some quality properties of bread wheat varieties. Journal of Field Crops Central Research Institute, 26(1), 24-30.
  • Barutcular, C., EL Sabagh, A., Koç, M. & Ratnasekera, D. (2017). Relationships between grain yield and physiological traits of durum wheat varieties under drought and high temperature stress in Mediterranean conditions. Fresenius Environmental Bulletin, 26,4282-4291.
  • Beleggia, R., Platani, C., Nigro, F., De Vita, P., Cattivelli, L. & Papa, R. (2013). Effect of genotype, environment and genotype-by-environment interaction on metabolite profiling in durum wheat (Triticum durum Desf.) grain. Journal of Creal Science, 57, 183-192.
  • Erdemci, I. (2018). Investigation of Genotype × Environment Interaction in Chickpea Genotypes Using AMMI and GGE biplot Analysis. Turkish Journal of Field Crops, 23(1), 20-26.
  • Forgone, A.G. (2009). Physiological indicators of drought tolerance of wheat. Biology PhD program. University of Szeged Faculty of Science and Informatics Department of plant Biology, Szeged.
  • GENSTAT, (2009): Genstat for Windows (12th edition) Introduction. –VSN International, Hemel Hempstead.
  • Gomez, K.A. & Gomez, A.A. (1984): Statistical Procedures for Agricultural Research. 2nd Ed. John Willey and Sons, Inc. New York. 641.
  • Grausgruber, H., Oberforster, M., Werteber, M., Ruckenbauer, P. & Volmann, J. (2000). Stability of quality traits in Austrian-grown winter wheats. Field Crops Research, 66 (3), 257-267.
  • Hassanpanah, D. (2011). Analysis of G×E interaction using the additive main effects and multiplicative interaction (AMMI) in potato cultivars. African Journal of Biotechnology, 10, 154-158.
  • Kadum, M.N., N.A. Mutlag, & A.J. Al-Khazal. (2019). Evaluation of the performance of bread wheat genotypes in central region of Iraq by using selection technique. Research Journal of Chemistry and Environment, 23, 17-22.
  • Karaman, M., Aktaş, H., Başaran, M., Erdemci, İ., Kendal, E., Tekdal, S., Bayram, S., Doğan, H. & Ayana, B. (2017). Biplot analysis of some advanced bread wheat genotypes in terms of yield and quality parameters. Journal of Field Crops Central Research Institute, 26 (Special Issue): 45−51.
  • Kendal, E. & Doğan, Y. (2015). Stability of a candidate and cultivars (Hordeum vulgare L.) by GGE biplot analysis of multi-environment yield trial in spring barley. Agriculture & Forestry/Poljoprivreda i Sumarstvo, 61, 307-318.
  • Kendal, E., Tekdal, S. &, Karaman, M. (2019). Proficiency of biplot methods (AMMI and GGE) in the appraisal of triticale genotypes in multiple environments. Applied Ecology and Environmental Research, 17(3), 5995-6007.
  • Kilic, H., Yagbasanlar, T. & Tur, Z. (2003): Genotypic environment interaction of some agricultural properties in durum wheat, stability analysis with heritability estimates. Field Crops Congress of Turkey, 1: 52-57.
  • Kizilgeci, F., Albayrak, A., Yildirim, M. & Akinci, C. (2019a). Stability evaluation of bread wheat genotypes under varying environments by AMMI model. Fresenius Environmental Bulletin, 28, 6865-6872.
  • Kizilgeci, F., Yildirim, M. & Hossain, A. (2019b). Evaluation of growth, yield, quality and physiological parameters of eleven Australian bread wheat (Triticum aestivum L.) cultivars grown under the ecological condition of Diyarbakir, Turkey. International Journal of Agriculture, Environment and Food Sciences, 3(1), 34-40.
  • Mckendry, A., Mcvetty, P.B.E. & Evans, L.E., (2011). Inheritance of grain protein concentration, grain yield, and related traits in spring wheat (Triticum aestivum L.). Genome, 30(6), 857-864.
  • Mortazavian, S.M.M., Nikkhah, H.R., Hassani, F.A., Sharif-al-Hosseini, M., Taheri, M. & Mahlooji, M. (2014). GGE biplot and AMMI analysis of yield performance of barley genotypes across different environments in Iran. Journal of Agricultural Science and Technology , 16, 609-622.
  • Rozbicki, J., Ceglinska, A., Gozdowski, D., Jakubczak, M., Cacak, G., Madry, W., Golba, J., Piechocinski, M., Sobczynski, G., Studnicki, M. & Drzazga, T. (2015). Influence of the cultivar, environment and management on the grain yield and bread making quality in winter wheat. The Journal of Cereal Science, 61, 126-132.
  • Sakin, M.A., Naneli, İ., Göy, A.G. & Özdemir, K. (2015). Determination of Yield and Yield Components of Some Bread Wheat (Triticum aestivum L.) Varieties at Tokat-Zile Conditions. Journal of Agricultural Faculty of Gazi Osmanpasa University, 32 (3), 119-132.
  • Sharma, R.C. (1994), Early generation selection for grain filling period in wheat. Crop Science, 34, 945-948.
  • Yan, W. & Hunt. L.A. (2001). Interpretation of genotype x environment interaction for winter wheat yield in Ontario. Crop Science, 41, 19-25.
  • Yan, W. & M.S. Kang. (2003). GGE Biplot Analysis: a Graphical Tool for Breeders, Geneticists, and Agronomists. Boca Raton FL, CRC Press.
  • Yan, W. & N.A. Tinker. (2006). Biplot analysis of multi environment trial data: principles and applications. Canadian Journal of Plant Science, 86, 623–645.
  • Yan, W. (2001). GGE biplot-a windows application for graphical analysis of multi environment trial data and other types of two-way data. Agronomy Journal, 93, 1111-1118.
  • Yan, W., Hunt, L. A., Sheng, Q. & Szlavnics, Z. 2000.Cultivar evaluation and mega environment investigation based on the GGE biplot. Crop Science, 40(3), 597-605.
  • Yildirim, M., Barutçular, C., Hossain, A., Koç, M., Dizlek, H., Akinci, C., Toptaş, I., Basdemir, F., Islam, M. S. & EL Sabagh, A. (2018). Assessment of the grain quality of wheat genotypes grown under multiple environments using GGE biplot analysis. Fresenius Environmental Bulletin, 27, 4830-4837.
  • Zadoks J C, Chang T T & Konzak C F. (1974): A decimal code for the growth stages of cereals. Weed Research, 14, 415–421.
Toplam 30 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Ziraat Mühendisliği (Diğer)
Bölüm Makaleler
Yazarlar

Mehmet Karaman 0000-0002-6176-9580

Cuma Akıncı 0000-0002-3514-1052

Mehmet Yıldırım 0000-0003-2421-4399

Proje Numarası 1) DUBAP12-ZF-111 ve 2)TAGEM / TBAD / 13 / A12 / P01 / 012
Yayımlanma Tarihi 31 Mart 2023
Kabul Tarihi 17 Ocak 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 33 Sayı: 1

Kaynak Göster

APA Karaman, M., Akıncı, C., & Yıldırım, M. (2023). Heat Stress Response of Bread Wheat Genotypes Under High and Low Rainfall Environments. Yuzuncu Yıl University Journal of Agricultural Sciences, 33(1), 64-74. https://doi.org/10.29133/yyutbd.1195751
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