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Çukurova'da Bazı Soya Genotipleri Tohum Verimi Ve Kalite Özelliklerinin Biplot Tekniği Kullanılarak Araştırılması

Yıl 2023, Cilt: 6 Sayı: Ek Sayı, 86 - 104, 20.12.2023
https://doi.org/10.47495/okufbed.1240061

Öz

Bu araştırma, 11 soya genotipinde, 2018 ve 2019 yetiştirme sezonlarında Çukurova/Türkiye koşullarında tohum verimi ve kalite özelliklerini, genotip, genotip × çevre etkileşimleri (GGE) ve çok özellikli GGE ilişkilerini Biplot tekniği ile incelemek için gerçekleştirilmiştir. h Birleştirilmiş varyans analizi sonuçlarına göre, incelenen tüm özelliklerde çevre, genotip ve çevre × genotip etkileşimi önemli bulunmuştur (p < 0.05). Her iki yılın ortalama sonuçlarına göre, farklı genotiplerin tane verimleri 41,11 ile 55,36 kg/ha-1 arasında değişirken, yağ, protein, palmitik asit, oleik asit, linoleik asit ve doymuş yağ asidi içerikleri ise Sırasıyla %22.49– 24.17. %31.22–37.6. %10.55–11.68. %21.43–28.31. %46.68–53.83 ve %14.45–16.44 olarak tespit edilmiştir. Genotip, çoklu özellik biplotunda toplam varyasyonun %86.60'ını açıklamıştır. Tohum verimi açısından en yüksek ‘Atakisi’' çeşidi bulunmuş ve daha sonra ‘KA-08-03-1’ hattı takip etmiştir. ‘KA-08-03-1’ hattı en yüksek protein ve linoleik asit içeriğine, 'Cinsoy' çeşidi en yüksek palmitik asit ve doymuş yağ asidi içeriğine sahip bulunmuştur. Sonuç olarak, genotip ve çok özellikli biplot analiz yönteminin etkileşimi, seleksiyon için çeşit adaylarını değerlendirmek için yeterli olabileceği gösterilmiştir.

Destekleyen Kurum

TAGEM

Proje Numarası

TAGEM/ TBAD/B/20/A7/P4/1649

Kaynakça

  • Abdelghany AM., Zhang S., Azam M., Shaibu AS., Feng Y., Qi J., Li J., Li Y., Tian Y., Hong H., Lamlom SF., Li B., Sun J. Exploring the phenotypic stability of soybean seed compositions using multi-trait stability index approach. Agronomy 2021; 11(11): 2200.
  • Ahmed A., Hossain A., Amiruzzaman M., Alam MA., Farooq M., El Sabagh A., Kızılgeci F. Evaluating short stature and high yielding maize hybrids in multiple environments using gge biplot and ammi models. Turkish Journal of Field Crops 2020; 25: 216-226.
  • Angelini J., Faviere G., Bortolotto E., Cervigni GDL., Quaglino MB. Handling outliers in multi-environment trial data analysis: in the direction of robust SREG model. Journal of Crop Improvement 2022; 1-25.
  • AOAC. 2005. Official Methods of Analysis of the AOAC. 18th ed. Association of Official Analytical Chemists, Gaithersburg, MD.
  • Assefa Y., Bajjalieh N., Archontoulis S., Casteel S., Davidson D., Kovács P., Naeve S., Ciampitti IA. Spatial characterization of soybean yield and quality (amino acids, oil, and protein) for United States. Scientific Reports 2018; 8: 14653.
  • Crossa J., Cornelius P. Sites regression and shifted multiplicative model clustering of cultivar trial sites under heterogeneity of error variances. Crop Science 1997; 37: 406-415.
  • Enyew M., Feyissa T., Geleta M., Tesfaye K., Hammenhag C., Carlsson AS. Genotype by environment interaction, correlation, AMMI, GGE biplot and cluster analysis for grain yield and other agronomic traits in sorghum (Sorghum bicolor L. Moench). PLoS ONE 2021; 16(10): e0258211.
  • Erdemci I. Investigation of genotype × environment interaction in chickpea genotypes using AMMI and GGE biplot analysis, Turkish Journal of Field Crops 2018; 23: 20-26.
  • FAOSTAT. 2018 Food and agriculture organization of the United Nations. Rome, https://app.amis-outlook.org/#/market-database/supply-and-demand-overview (the date of access: 10.11.2022)
  • Gauch HG. Statistical analysis of regional yield trials: AMMI analysis of factorial designs. Elsevier 1992, Amsterdam.
  • Gauch HG., Piepho HP., Annicchiarico P. Statistical analysis of yield trials by AMMI and GGE: Further considerations. Crop Science 2008; 48: 866-889.
  • GGE-biplot. GGE-biplot software version 5.2. The Complete Biplot Analysis System: GGEbiplot Pattern Explorer. 2009, Weikai Yan, USA.
  • Goksoy AT., Sincik M., Erdogmus M., Ergin M., Aytac S., Gumuscu G., Senyigit E. The parametric and non-parametric stability analyses for interpreting genotype by environment interaction of some soybean genotypes. Turkish Journal of Field Crops 2019; 24: 28-38.
  • Huanuqueño H., Zolla G., Jimenez J. Selection of stable and high-yielding lines of purple corn (Zea mays L.) var. popcorn using multi-trait stability index (MTSI) Agris 2022.
  • IBM: SPSS Software (Version 25.0). 2020. https://www.ibm.com/analitics/spss-statistic-software. (the date of access: 10.10.2022)
  • Johnson HW., Robinson HF., Comstock RE.. Genotypic and phenotypic correlations in soybeans and their implications in selection. Agronomy Journal 1955; 47: 477-483.
  • Kocaturk M., Cubukcu P., Goksoy AT., Sıncık M., Ilker E., Kadıroglu A., Vurarak Y., Sahin Y., Karakus M., Akgun Yıldırım U. GGE biplot analysis of genotype × environment interaction in soybean grown as a second crop. Turkish Journal of Field Crops 2019; 24: 145-154.

Investigation Of Seed Yield And Quality Traits Of Some Soybean Genotypes Using A Biplot Technique In Çukurova, Turkey

Yıl 2023, Cilt: 6 Sayı: Ek Sayı, 86 - 104, 20.12.2023
https://doi.org/10.47495/okufbed.1240061

Öz

This research was carried out in Cukurova, Turkey, in the 2018 and 2019 growing seasons to investigate seed yield and quality characteristics, genotype, genotype × environment interactions (GGE), and the relationships between the characteristics and environment examined by multi-featured GGE Biplot analysis in 11 soybean genotypes. According to the results of the combined analysis of variance, the interaction of environment, genotype and environment × genotype was significant (p < 0.05) in all examined traits. According to the average results of both years, the seed yield of the different genotypes varied between 41.11 and 55.36 kg/ha−1, and the oil, protein, palmitic acid, oleic acid, linoleic acid, and saturated fatty acid contents were 22.49–24.17%, 31.22–37.6%, 10.55–11.68%, 21.43–28.31%, 46.68–53.83%, and 14.45–16.44%, respectively. Genotype explained 86.60% of the total variation of the experiment in the multi-trait biplot. In terms of seed yield, the ‘Atakisi’ variety was the highest, followed by the ‘KA-08-03-1’ line. The ‘KA-08-03-1’ line had the highest protein and linoleic acid contents, whereas the ‘Cinsoy’ variety had the highest palmitic acid and saturated fatty acid contents. In conclusion, the interaction of genotype and the multi-featured biplot analysis method may be sufficient to evaluate cultivar candidates for selection.

Proje Numarası

TAGEM/ TBAD/B/20/A7/P4/1649

Kaynakça

  • Abdelghany AM., Zhang S., Azam M., Shaibu AS., Feng Y., Qi J., Li J., Li Y., Tian Y., Hong H., Lamlom SF., Li B., Sun J. Exploring the phenotypic stability of soybean seed compositions using multi-trait stability index approach. Agronomy 2021; 11(11): 2200.
  • Ahmed A., Hossain A., Amiruzzaman M., Alam MA., Farooq M., El Sabagh A., Kızılgeci F. Evaluating short stature and high yielding maize hybrids in multiple environments using gge biplot and ammi models. Turkish Journal of Field Crops 2020; 25: 216-226.
  • Angelini J., Faviere G., Bortolotto E., Cervigni GDL., Quaglino MB. Handling outliers in multi-environment trial data analysis: in the direction of robust SREG model. Journal of Crop Improvement 2022; 1-25.
  • AOAC. 2005. Official Methods of Analysis of the AOAC. 18th ed. Association of Official Analytical Chemists, Gaithersburg, MD.
  • Assefa Y., Bajjalieh N., Archontoulis S., Casteel S., Davidson D., Kovács P., Naeve S., Ciampitti IA. Spatial characterization of soybean yield and quality (amino acids, oil, and protein) for United States. Scientific Reports 2018; 8: 14653.
  • Crossa J., Cornelius P. Sites regression and shifted multiplicative model clustering of cultivar trial sites under heterogeneity of error variances. Crop Science 1997; 37: 406-415.
  • Enyew M., Feyissa T., Geleta M., Tesfaye K., Hammenhag C., Carlsson AS. Genotype by environment interaction, correlation, AMMI, GGE biplot and cluster analysis for grain yield and other agronomic traits in sorghum (Sorghum bicolor L. Moench). PLoS ONE 2021; 16(10): e0258211.
  • Erdemci I. Investigation of genotype × environment interaction in chickpea genotypes using AMMI and GGE biplot analysis, Turkish Journal of Field Crops 2018; 23: 20-26.
  • FAOSTAT. 2018 Food and agriculture organization of the United Nations. Rome, https://app.amis-outlook.org/#/market-database/supply-and-demand-overview (the date of access: 10.11.2022)
  • Gauch HG. Statistical analysis of regional yield trials: AMMI analysis of factorial designs. Elsevier 1992, Amsterdam.
  • Gauch HG., Piepho HP., Annicchiarico P. Statistical analysis of yield trials by AMMI and GGE: Further considerations. Crop Science 2008; 48: 866-889.
  • GGE-biplot. GGE-biplot software version 5.2. The Complete Biplot Analysis System: GGEbiplot Pattern Explorer. 2009, Weikai Yan, USA.
  • Goksoy AT., Sincik M., Erdogmus M., Ergin M., Aytac S., Gumuscu G., Senyigit E. The parametric and non-parametric stability analyses for interpreting genotype by environment interaction of some soybean genotypes. Turkish Journal of Field Crops 2019; 24: 28-38.
  • Huanuqueño H., Zolla G., Jimenez J. Selection of stable and high-yielding lines of purple corn (Zea mays L.) var. popcorn using multi-trait stability index (MTSI) Agris 2022.
  • IBM: SPSS Software (Version 25.0). 2020. https://www.ibm.com/analitics/spss-statistic-software. (the date of access: 10.10.2022)
  • Johnson HW., Robinson HF., Comstock RE.. Genotypic and phenotypic correlations in soybeans and their implications in selection. Agronomy Journal 1955; 47: 477-483.
  • Kocaturk M., Cubukcu P., Goksoy AT., Sıncık M., Ilker E., Kadıroglu A., Vurarak Y., Sahin Y., Karakus M., Akgun Yıldırım U. GGE biplot analysis of genotype × environment interaction in soybean grown as a second crop. Turkish Journal of Field Crops 2019; 24: 145-154.
Toplam 17 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Ziraat Mühendisliği (Diğer), Ziraat, Veterinerlik ve Gıda Bilimleri
Bölüm Araştırma Makaleleri (RESEARCH ARTICLES)
Yazarlar

Pınar Cubukcu Bu kişi benim 0000-0001-8949-0832

Hatice Hızlı 0000-0002-5451-1397

Ahmet Korhan Sahar Bu kişi benim 0000-0003-2690-9821

Celile Aylin Oluk 0000-0001-8939-3610

Abdurrahim Göksoy 0000-0002-0012-4412

Proje Numarası TAGEM/ TBAD/B/20/A7/P4/1649
Yayımlanma Tarihi 20 Aralık 2023
Gönderilme Tarihi 20 Ocak 2023
Kabul Tarihi 14 Mayıs 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 6 Sayı: Ek Sayı

Kaynak Göster

APA Cubukcu, P., Hızlı, H., Sahar, A. K., Oluk, C. A., vd. (2023). Investigation Of Seed Yield And Quality Traits Of Some Soybean Genotypes Using A Biplot Technique In Çukurova, Turkey. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 6(Ek Sayı), 86-104. https://doi.org/10.47495/okufbed.1240061
AMA Cubukcu P, Hızlı H, Sahar AK, Oluk CA, Göksoy A. Investigation Of Seed Yield And Quality Traits Of Some Soybean Genotypes Using A Biplot Technique In Çukurova, Turkey. Osmaniye Korkut Ata University Journal of The Institute of Science and Techno. Aralık 2023;6(Ek Sayı):86-104. doi:10.47495/okufbed.1240061
Chicago Cubukcu, Pınar, Hatice Hızlı, Ahmet Korhan Sahar, Celile Aylin Oluk, ve Abdurrahim Göksoy. “Investigation Of Seed Yield And Quality Traits Of Some Soybean Genotypes Using A Biplot Technique In Çukurova, Turkey”. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi 6, sy. Ek Sayı (Aralık 2023): 86-104. https://doi.org/10.47495/okufbed.1240061.
EndNote Cubukcu P, Hızlı H, Sahar AK, Oluk CA, Göksoy A (01 Aralık 2023) Investigation Of Seed Yield And Quality Traits Of Some Soybean Genotypes Using A Biplot Technique In Çukurova, Turkey. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi 6 Ek Sayı 86–104.
IEEE P. Cubukcu, H. Hızlı, A. K. Sahar, C. A. Oluk, ve A. Göksoy, “Investigation Of Seed Yield And Quality Traits Of Some Soybean Genotypes Using A Biplot Technique In Çukurova, Turkey”, Osmaniye Korkut Ata University Journal of The Institute of Science and Techno, c. 6, sy. Ek Sayı, ss. 86–104, 2023, doi: 10.47495/okufbed.1240061.
ISNAD Cubukcu, Pınar vd. “Investigation Of Seed Yield And Quality Traits Of Some Soybean Genotypes Using A Biplot Technique In Çukurova, Turkey”. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi 6/Ek Sayı (Aralık 2023), 86-104. https://doi.org/10.47495/okufbed.1240061.
JAMA Cubukcu P, Hızlı H, Sahar AK, Oluk CA, Göksoy A. Investigation Of Seed Yield And Quality Traits Of Some Soybean Genotypes Using A Biplot Technique In Çukurova, Turkey. Osmaniye Korkut Ata University Journal of The Institute of Science and Techno. 2023;6:86–104.
MLA Cubukcu, Pınar vd. “Investigation Of Seed Yield And Quality Traits Of Some Soybean Genotypes Using A Biplot Technique In Çukurova, Turkey”. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi, c. 6, sy. Ek Sayı, 2023, ss. 86-104, doi:10.47495/okufbed.1240061.
Vancouver Cubukcu P, Hızlı H, Sahar AK, Oluk CA, Göksoy A. Investigation Of Seed Yield And Quality Traits Of Some Soybean Genotypes Using A Biplot Technique In Çukurova, Turkey. Osmaniye Korkut Ata University Journal of The Institute of Science and Techno. 2023;6(Ek Sayı):86-104.

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