Research Article
BibTex RIS Cite

Evaluation of genotype × environment relationship in silage maize genotypes using biplot analysis and stability index

Year 2020, Volume: 2 Issue: 2, 50 - 61, 30.12.2020

Abstract

This study was conducted to evaluate the adaptability and stability of silage maize hybrids determing herbage and dry matter yield using Biplot analysis and some stability indexes. The studies were carried out using five registered corn varieties under irrigated conditions for six years (2013-2018) in Çarşamba plain of Samsun province, Turkey. The experimental layout was a Randomized Complete Block Design with four replications. Finlay and Wilkenson's regression and Eberhart and Russel's deviation from regression (S2d) coefficients were used in statistical analysis. Genotype (G) x environment (E) interactions were studied using the additive main effects and multiplicative interaction (AMMI) and G + GE (GGE) biplot models. The combined analysis of variance revealed significant (P<0.01) effects of G, E and G × E interaction on herbage and dry matter yields. The analysis of variance indicated that 62.70% of variation in the herbage yield explained by E, 29.79% by the differences in G and 7.49% by the GE interaction. The analysis of variance indicated that 62.80% of the total variation in the dry matter yield accounted for E, 30.20% of the total variation by G and G × E interaction explained only 7.00% of the total variation in the data. The results of AMMI and GGE biplot models and stability analyses (R2, bi and S2di) revealed that PR31Y43 and Burak hybrids were stable in both herbage yield and dry matter yield.

Supporting Institution

Republic of Turkey Ministry of Agriculture and Forestry, General Directorate of Agricultural Research and Policies

Project Number

TAGEM/TA/14/A12/P03/010

Thanks

Authors thank the Republic of Turkey Ministry of Agriculture and Forestry, General Directorate of Agricultural Research and Policies for the support provided for this study

References

  • Ahmadi, J., Mohammadi, A., Najafi Mirak¸ T. (2012). Targeting promising bread wheat (Triticum aestivum L.) lines for cold climate growing environments using AMMI and SREG GGE biplot analyses. Journal Agrıculture Science Technology Volume (14), 645-657.
  • Akçura, M., Taner, S., and Kaya, Y. (2011). Evaluation of bread wheat genotypes under irrigated multi-environment conditions using GGE biplot analyses. Žemdirbystė Agriculture (98), 35˗40.
  • Badu-Apraku, B., Oyekunle, M., Obeng-Antwi, K., Osuman, A.S., Ado, S.G., Coulibay, N., Yallou, C.G., Abdulai, M., Boakyewaa, G.A., and Didjeira, A. (2012). Performance of extra-early maize cultivars based on GGE biplot and AMMI analysis. Journal Agrıculture Science (150), 473–483.
  • Bantayehu, M., Esmael, J., and Awoke¸ Y. (2013). Additive main effect and multiplicati ve interaction analysis and clustering of environments and genotypes in malting barley. African Journal of Agricultural Research Volume 8 (18), 1896-1904.
  • Dehghani, H., Ebadiand, A., and Yousefi, A. (2006). Biplot analysis of genotype by environment interaction for barley yield in Iran Agronmy Journal (98),388–393.
  • Dia M., Wehner T.C., Hassell R., Price D.S., Boyhan G.E., Olson S., King S., Davis A.R., Tolla G.E., Bernier J., Juarez B., Sari N., Solmaz I., Aras V. (2012). Stability of fruit yield in watermelon genotypes tested in multiple US environments. University of Cukurova, Ziraat Fakultesi, (4), 84-88.
  • Eberhart, S. A., and Russell, W. A. (1966). Stability parameters for comparing varieties, Crop Science, (6), 36-40.
  • Faria, S. V., Luz, L. S., Rodrigues, M. C., Carneiro, J. E. D. S., Carneiro, P. C. S. and De Lima, R. O. (2017). Adaptability and stability in commercial maize hybrids in the southeast of the State of Minas Revista Ciência Agronômica, Volume. 48, (2), 347-357.
  • Farshadfar, E., Mahamodi, N., and Yaghotipoor, A. (2011). AMMI stability value and simultaneous estimation of yield and yield stability in bread wheat (Triticum aestivum L.). Australian Journal of Crop Science, 5 (13), 1837–1844.
  • Gauch, H.G., and Zobel, R.W. (1997). Identifying mega-environment and targeting genotypes. Crop Science (7), 381–385.
  • Gauch, H. G. (2006). Statistical analysis of yield trials by AMMI and GCE. Crop Science (46), 1488-1500.
  • Gür, İ., and Kara, B., (2019). Trabzon Ekolojik koşullarında atdişi hibrit mısır çeşitlerinin performansları. Black Sea Journal of Agriculture 2 (2), 103-108.
  • Kendal, E., and Sayar¸ M. S. (2016). The stability of some spring Triticale genotypes using biplot analysis, The Journal of Animal & Plant Sciences, 26 (3), 754-765.
  • Kendal, E., and Sener¸ O. (2015). Examination of genotype environmentinteractionsby GGE biplot analysis in spring durum wheat, Indıan Journal of Genetics and Plant Breeding 75 (3), 341-348.
  • Kendal, E., and Tekdal¸ S. (2016). Application of AMMI model for evolution spring barley genotypes in Multi-Environment trials- Bangladesh Journal Botany 45(3), 613-620.
  • 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 Agrıculture Science Tech.nology Volume (16), 609-622.
  • Munawar, M., Hammad, G., and Shahbaz, M. (2013). Evaluation of maize (Zea mays L.) hybrids under different environments by GGE Biplot analysis. American-Eurasian Journal Agriculture Environment Science 13 (9),1252-1257.
  • Muntaz, A., Hussaın, D., Saeed, M., Arshad, M., and Yousaf, I, M. (2019). Stability and adaptability of sorghum hybrids elucidated with genotype–environment interaction biplots. Turk Journal Fields Crops 24 (2), 155-163.
  • Naroui, M.R.R., Kadir, M.A., Rafii, M. Y., Hawa Jaafar, Z. E., Naghavi M. R., and Ahmadi, F. (2013). Genotype × environment interaction by AMMI and GGE biplot analysis in three consecutive generations of wheat (Triticum aestivum) under normal and drought stress conditions. Australian Journal of Crop Science (7), 956-961.
  • Oliveira, T. R. A., Carvalho, H.W.L., Costa, E. F. N. and Carvalho Filho, J. L. S. (2017). Correlation among adaptability and stability assessment models in maize cultivars. Australian Journal of Crop Science, (11), 516-521.
  • Oliveira, T. R. A. D., Carvalho, H. W. L. D., Oliveira, G. H. F., Costa, E. F. N., Gravina, G. D. A., Santos, R. D. D. and Carvalho Filho, J. L. S. D. (2019). Hybrid maize selection through GGE biplot analysis. Bragantia, Campinas, 78 (2), 166-174.
  • Öner, F., Aydın, İ., Sezer, İ., Gülümser, A., Özata, E., and Algan, D (2011). Bazı silajlık mısır (Zea mays l.) çeşitlerinde verim ve kalite özelliklerinin belirlenmesi. IX. Tarla Bitkileri Kongresi. 12-15 Eylül 2011. Bursa.
  • Özata, E., Öz, A., ve Kapar, H. (2012). Silajlık hibrit mısır çeşit adaylarının verim ve kalite özelliklerinin belirlenmesi. Tarım Bilimleri Araştırma Dergisi 5 (1), 37-41.
  • Parent, B., Bonneau, J., Maphosa, L., Kovalchuk, A., Langridge, P., Fleury, D. (2017). Quantifying Wheat Sensitivities to Environmental Constraints to Dissect Genotype × Environment Interactions in the Field. Plant Physiol (174), 1669–1682.
  • Purchase, J. L. (1997). Parametric analysis to describe G × E interaction and yield stability in winter wheat. Ph.D. thesis. Dep. of Agronomy, Faculty of Agriculture, Univ. of the Orange Free State, Bloemfontein, South Africa.
  • Purchase, J.L., Hatting, H., and Vandeventer, C. S. (2000). Genotype × environment interaction of winter wheat (Triticum aestivum L.) in South Africa: Π. Stability analysis of yield performance. South African Journal Plant Soil (17), 101-107.
  • Putto, W., Patanothai, A., Jogloy, S. and Hoogenboom, G. (2008). Determination of mega-environments for peanut breeding using the CSM-CROPGRO-Peanut model. Crop Science (48), 973–982.
  • Rakshit,S., Ganapathy, K.N., Gomashe, S. S., Rathore, A., Ghorade, R. B., Kumar, M. V. N., Ganesmurthy, K., Jain, S. K., Kamtar, M.Y., Sachan, J. S., Ambekar, S.S., Ranwa, B. R., Kanawade, D. G., Balusamy, M., Kadam, D., Sarkar, A., Tonapi V. A. and Patil, J.V. (2012). GGE biplot analysis to evaluate genotype, environment and their interactions in sorghummulti-location data. Euphytica. (185), 465–479.
  • Rezene, Y. (2014). GGE and AMMI biplot analysis for fieldpea yield stability in SNNPR state Ethiopia. International Journal Sustainable Agriculture Research 1(1), 28-38.
  • Roostaei, M., Mohammadi, R., and Amri, A. (2014). Rank correlation among different statistical models in ranking of winter wheat genotypes. The Crop Journal, (2), 154-163.
  • Samonte, S.O.P.B., Wilson, L. T., Mc Clung, A. M., and Medley, J. C. (2005). Targeting cultivars onto rice growing environments using AMMI and SREG GGE biplot analyses. Crop Science (45), 2414-2424.
  • 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., and Rajcan, I. (2002). Biplot analysıs and trait relations of soybean. Crop Science, Volume (42),12-21.
  • Yan, W. (2002). Singular value partitioning in biplot analysis of multi environment trial data. Agronomy Journal (94), 990–996.
  • Yan, W., and Kang, M. S. (2003). GGE Biplot Analysis: A Graphical Tool for Breeders, Geneticists, and Agronomists. Boca Raton FL, CRC Press.
  • Yan, W., and Tinker, N. A. (2006). Biplot analysis of multi-environment trial data: Principles and applications. Canadian Journal of Plant Science (86), 623–645.
  • Yan, W., Hunt, L.A., Sheng, Q., and Szlavnics, Z. (2000). Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Science (40):597–605.
  • Yan, W., Kang, M. S., Ma, B., Woods, S., and Cornelius, P. L. (2007). GGE biplot vs. AMMI analysis of genotype-by-environment data. Crop Science (47), 643–655.
  • Yan, W., Cornelius, P. L., Crossa, J. and Hunt, L. A. (2001). Two types of GGE biplots for analyzing multi-environment trial data. Crop Science (41),656-663.
  • Yan, W. and Frégeau-Reid, J. (2018). Genotype by Yield* Trait (GYT) Biplot: a novel approach for genotype selection based on multiple traits. Scientific Reports, 8(1) 1-10.
Year 2020, Volume: 2 Issue: 2, 50 - 61, 30.12.2020

Abstract

Project Number

TAGEM/TA/14/A12/P03/010

References

  • Ahmadi, J., Mohammadi, A., Najafi Mirak¸ T. (2012). Targeting promising bread wheat (Triticum aestivum L.) lines for cold climate growing environments using AMMI and SREG GGE biplot analyses. Journal Agrıculture Science Technology Volume (14), 645-657.
  • Akçura, M., Taner, S., and Kaya, Y. (2011). Evaluation of bread wheat genotypes under irrigated multi-environment conditions using GGE biplot analyses. Žemdirbystė Agriculture (98), 35˗40.
  • Badu-Apraku, B., Oyekunle, M., Obeng-Antwi, K., Osuman, A.S., Ado, S.G., Coulibay, N., Yallou, C.G., Abdulai, M., Boakyewaa, G.A., and Didjeira, A. (2012). Performance of extra-early maize cultivars based on GGE biplot and AMMI analysis. Journal Agrıculture Science (150), 473–483.
  • Bantayehu, M., Esmael, J., and Awoke¸ Y. (2013). Additive main effect and multiplicati ve interaction analysis and clustering of environments and genotypes in malting barley. African Journal of Agricultural Research Volume 8 (18), 1896-1904.
  • Dehghani, H., Ebadiand, A., and Yousefi, A. (2006). Biplot analysis of genotype by environment interaction for barley yield in Iran Agronmy Journal (98),388–393.
  • Dia M., Wehner T.C., Hassell R., Price D.S., Boyhan G.E., Olson S., King S., Davis A.R., Tolla G.E., Bernier J., Juarez B., Sari N., Solmaz I., Aras V. (2012). Stability of fruit yield in watermelon genotypes tested in multiple US environments. University of Cukurova, Ziraat Fakultesi, (4), 84-88.
  • Eberhart, S. A., and Russell, W. A. (1966). Stability parameters for comparing varieties, Crop Science, (6), 36-40.
  • Faria, S. V., Luz, L. S., Rodrigues, M. C., Carneiro, J. E. D. S., Carneiro, P. C. S. and De Lima, R. O. (2017). Adaptability and stability in commercial maize hybrids in the southeast of the State of Minas Revista Ciência Agronômica, Volume. 48, (2), 347-357.
  • Farshadfar, E., Mahamodi, N., and Yaghotipoor, A. (2011). AMMI stability value and simultaneous estimation of yield and yield stability in bread wheat (Triticum aestivum L.). Australian Journal of Crop Science, 5 (13), 1837–1844.
  • Gauch, H.G., and Zobel, R.W. (1997). Identifying mega-environment and targeting genotypes. Crop Science (7), 381–385.
  • Gauch, H. G. (2006). Statistical analysis of yield trials by AMMI and GCE. Crop Science (46), 1488-1500.
  • Gür, İ., and Kara, B., (2019). Trabzon Ekolojik koşullarında atdişi hibrit mısır çeşitlerinin performansları. Black Sea Journal of Agriculture 2 (2), 103-108.
  • Kendal, E., and Sayar¸ M. S. (2016). The stability of some spring Triticale genotypes using biplot analysis, The Journal of Animal & Plant Sciences, 26 (3), 754-765.
  • Kendal, E., and Sener¸ O. (2015). Examination of genotype environmentinteractionsby GGE biplot analysis in spring durum wheat, Indıan Journal of Genetics and Plant Breeding 75 (3), 341-348.
  • Kendal, E., and Tekdal¸ S. (2016). Application of AMMI model for evolution spring barley genotypes in Multi-Environment trials- Bangladesh Journal Botany 45(3), 613-620.
  • 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 Agrıculture Science Tech.nology Volume (16), 609-622.
  • Munawar, M., Hammad, G., and Shahbaz, M. (2013). Evaluation of maize (Zea mays L.) hybrids under different environments by GGE Biplot analysis. American-Eurasian Journal Agriculture Environment Science 13 (9),1252-1257.
  • Muntaz, A., Hussaın, D., Saeed, M., Arshad, M., and Yousaf, I, M. (2019). Stability and adaptability of sorghum hybrids elucidated with genotype–environment interaction biplots. Turk Journal Fields Crops 24 (2), 155-163.
  • Naroui, M.R.R., Kadir, M.A., Rafii, M. Y., Hawa Jaafar, Z. E., Naghavi M. R., and Ahmadi, F. (2013). Genotype × environment interaction by AMMI and GGE biplot analysis in three consecutive generations of wheat (Triticum aestivum) under normal and drought stress conditions. Australian Journal of Crop Science (7), 956-961.
  • Oliveira, T. R. A., Carvalho, H.W.L., Costa, E. F. N. and Carvalho Filho, J. L. S. (2017). Correlation among adaptability and stability assessment models in maize cultivars. Australian Journal of Crop Science, (11), 516-521.
  • Oliveira, T. R. A. D., Carvalho, H. W. L. D., Oliveira, G. H. F., Costa, E. F. N., Gravina, G. D. A., Santos, R. D. D. and Carvalho Filho, J. L. S. D. (2019). Hybrid maize selection through GGE biplot analysis. Bragantia, Campinas, 78 (2), 166-174.
  • Öner, F., Aydın, İ., Sezer, İ., Gülümser, A., Özata, E., and Algan, D (2011). Bazı silajlık mısır (Zea mays l.) çeşitlerinde verim ve kalite özelliklerinin belirlenmesi. IX. Tarla Bitkileri Kongresi. 12-15 Eylül 2011. Bursa.
  • Özata, E., Öz, A., ve Kapar, H. (2012). Silajlık hibrit mısır çeşit adaylarının verim ve kalite özelliklerinin belirlenmesi. Tarım Bilimleri Araştırma Dergisi 5 (1), 37-41.
  • Parent, B., Bonneau, J., Maphosa, L., Kovalchuk, A., Langridge, P., Fleury, D. (2017). Quantifying Wheat Sensitivities to Environmental Constraints to Dissect Genotype × Environment Interactions in the Field. Plant Physiol (174), 1669–1682.
  • Purchase, J. L. (1997). Parametric analysis to describe G × E interaction and yield stability in winter wheat. Ph.D. thesis. Dep. of Agronomy, Faculty of Agriculture, Univ. of the Orange Free State, Bloemfontein, South Africa.
  • Purchase, J.L., Hatting, H., and Vandeventer, C. S. (2000). Genotype × environment interaction of winter wheat (Triticum aestivum L.) in South Africa: Π. Stability analysis of yield performance. South African Journal Plant Soil (17), 101-107.
  • Putto, W., Patanothai, A., Jogloy, S. and Hoogenboom, G. (2008). Determination of mega-environments for peanut breeding using the CSM-CROPGRO-Peanut model. Crop Science (48), 973–982.
  • Rakshit,S., Ganapathy, K.N., Gomashe, S. S., Rathore, A., Ghorade, R. B., Kumar, M. V. N., Ganesmurthy, K., Jain, S. K., Kamtar, M.Y., Sachan, J. S., Ambekar, S.S., Ranwa, B. R., Kanawade, D. G., Balusamy, M., Kadam, D., Sarkar, A., Tonapi V. A. and Patil, J.V. (2012). GGE biplot analysis to evaluate genotype, environment and their interactions in sorghummulti-location data. Euphytica. (185), 465–479.
  • Rezene, Y. (2014). GGE and AMMI biplot analysis for fieldpea yield stability in SNNPR state Ethiopia. International Journal Sustainable Agriculture Research 1(1), 28-38.
  • Roostaei, M., Mohammadi, R., and Amri, A. (2014). Rank correlation among different statistical models in ranking of winter wheat genotypes. The Crop Journal, (2), 154-163.
  • Samonte, S.O.P.B., Wilson, L. T., Mc Clung, A. M., and Medley, J. C. (2005). Targeting cultivars onto rice growing environments using AMMI and SREG GGE biplot analyses. Crop Science (45), 2414-2424.
  • 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., and Rajcan, I. (2002). Biplot analysıs and trait relations of soybean. Crop Science, Volume (42),12-21.
  • Yan, W. (2002). Singular value partitioning in biplot analysis of multi environment trial data. Agronomy Journal (94), 990–996.
  • Yan, W., and Kang, M. S. (2003). GGE Biplot Analysis: A Graphical Tool for Breeders, Geneticists, and Agronomists. Boca Raton FL, CRC Press.
  • Yan, W., and Tinker, N. A. (2006). Biplot analysis of multi-environment trial data: Principles and applications. Canadian Journal of Plant Science (86), 623–645.
  • Yan, W., Hunt, L.A., Sheng, Q., and Szlavnics, Z. (2000). Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Science (40):597–605.
  • Yan, W., Kang, M. S., Ma, B., Woods, S., and Cornelius, P. L. (2007). GGE biplot vs. AMMI analysis of genotype-by-environment data. Crop Science (47), 643–655.
  • Yan, W., Cornelius, P. L., Crossa, J. and Hunt, L. A. (2001). Two types of GGE biplots for analyzing multi-environment trial data. Crop Science (41),656-663.
  • Yan, W. and Frégeau-Reid, J. (2018). Genotype by Yield* Trait (GYT) Biplot: a novel approach for genotype selection based on multiple traits. Scientific Reports, 8(1) 1-10.
There are 40 citations in total.

Details

Primary Language English
Subjects Agronomy
Journal Section Research Articles
Authors

Erkan Özata 0000-0002-4646-6426

Project Number TAGEM/TA/14/A12/P03/010
Publication Date December 30, 2020
Submission Date October 18, 2020
Acceptance Date December 5, 2020
Published in Issue Year 2020 Volume: 2 Issue: 2

Cite

APA Özata, E. (2020). Evaluation of genotype × environment relationship in silage maize genotypes using biplot analysis and stability index. Turkish Journal of Food and Agriculture Sciences, 2(2), 50-61.

 22605      22604        23639     


17579     21244    21245   29292



21866   

Turkish Journal of Food and Agriculture Sciences (TURJFAS) is an open access journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author. This is accordance with the BOAI (Budapest Open Access Initiative) definition of open access. 


 17580 

Turkish Journal of Food and Agriculture Sciences is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.


Journal Abbreviation: Turk J Food Agric Sci