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EVALUATION OF MAIZE HYBRID IN MULTI-LOCATIONAL TRIAL USING GGE BIPLOT AND AMMI MODEL

Year 2024, Volume: 29 Issue: 2, 242 - 250, 24.12.2024
https://doi.org/10.17557/tjfc.1398139

Abstract

This study was executed to assess the twenty-one single cross maize hybrids with three local checks
(BHM-12, BHM-13 and BHM-14) in five locations of Bangladesh for its adaptability and stability
and also to study the genotypes and environment interaction. Yield data of twenty-four maize hybrids
was analyzed through the additive main effects and multiplicative interaction (AMMI) and GGE
biplot methods. Considering the grain yield, bi~1 and S2 di~0 value, it was observed that G10 and G16
were the higher yielding and suitable across the environments. On the other hand, G20 and G14 were
higher yielding but were responsive to favorable environments. Among the five locations, the
environment of Hathazari was the poorest, whereas Barishal and Dinajpur were the most favorable
environments for maize production. When hybrids were compared with ideal genotypes, it was
observed that G14, G16, G10, and G20 were closed to the ideal genotypes so that they can be more
desirable than other tested hybrids. The AMMI biplot indicated that G24, G16, G13, G17 and G14
were positioned adjacent to the biplot’s origin which indicated their stability in performance across
environments. Finally, stability analysis with the help of GGE and AMMI statistics identified two
hybrids G14 and G16 that could be used as reference for future crop improvement program.

References

  • Abay, F. and A. Bjornstad. 2009. Specific adaptation of barley varieties in different locations in Ethiopia. Euphytica.167: 181-195.
  • Agahi, K., J. Ahmadi, H.A. Oghan, M.H. Fotokian and S.F. Orang. 2020. Analysis of genotype × environment interaction for seed yield in spring oilseed rape using the AMMI model. Crop. Breed. Appl. Biotechnol. 20(1): e26502012.
  • Ahmed, A., A. Hossain, M. Amiruzzaman, M.A. Alam, M. Farooq, A.E. Sabagh and A. Kizilgeci. 2020. Evaluating short stature and high yielding maize hybrids in multiple environments using GGE biplot and AMMI models. Turk. J. Field Crops. 25(2): 216-226.
  • Ahmed, M., M.A. Mian and M.A. Chowdhury. 2011. Correlation study in maize. J. Agric. Res.16: 399-405.
  • Akçura, M., S. Taner & Y. Kaya. 2011. Evaluation of bread wheat genotypes under irrigated multi-environment conditions using GGE biplot analyses. Agriculture. 98(1): 35-40.
  • BBS. 2021. Bangladesh Bureau of Statistics, Year book of Agricultural Statistics (33rd Series), Ministry of Planning, Government of the People’s Republic of Bangladesh, Dhaka.
  • Bhartiya, A., J.P. Aditya, P. Singh, J.P. Purwar and A. Aga. 2017. AMMI and GGE biplot analysis of multi-environment yield trial of soybean in North Western Himalayan state Uttarakhand of India. Legume Research. 40(2): 306-312.
  • Carson, M.L., M.M. Goodman and S.M. Williamson. 2002. Variation in aggressiveness among isolates of Cercospora from maize as a potential cause of genotype-environment interaction in gray leaf spot trials. Plant Dis. 86: 1089-1093.
  • Choukan, R. 2011. Genotype, environment and genotype × environment interaction effects on the performance of maize (Zea mays L.) inbred lines. C. B. Journal. 1(2): 97-103.
  • Crossa, J., P.L. Cornelius and W. Yan. 2002. Biplots of linearbilinear models for studying crossover genotype × environment interaction. Crop Sci. 42: 619-633.
  • Dehghani, H., N. Sabaghnia and M. Moghaddam, 2009. Interpretation of genotype-by-environment interaction for late maize hybrids grain yield using a biplot method. Turkish J. Agric. and Forest. 33:139-148.
  • Dimitrios, B., G. Christos, R. Jesus and B. Eva. 2008. Separation of cotton cultivar testing sites based on representativeness and discriminating ability using GGE Biplots. Agron. J. 100: 1230-1236.
  • Eberhart, S.A. and W.A. Russell. 1966. Stability parameters for comparing varieties. Crop Sci. 6: 36-40.
  • Gauch, H.G. 1988. Model selection and validation for yield trials with interaction. Biometrics. 44:705-715.
  • Gauch, H.G. 2013. A simple protocol for AMMI analysis of yield trials. Crop. Sci. 53:1860-1869.
  • Hassan, A.A., M. Abdikadir, M. Hasan, A.K. Azad and M. Hasanuzzaman. 2018. Genetic variability and diversity studies in maize (Zea mays L.) inbred lines. IOSR Journal of Agriculture and Veterinary Science.11(11): 69-76.
  • Gulati, A., J. Dixon and J.M. Dixon. 2008. Maize in Asia: changing markets and incentives. Contributors: International Maize and Wheat Improvement Center, International Food Policy Research Institute, International Fund for Agricultural Development. Academic Foundation, pp.489.
  • Hongyu, K., M. García-Peña, L.B. De Araújo and C.T.D.S. Dias. 2014. Statistical analysis of yield trials by AMMI analysis of genotype × environment interaction. Biom. Lett. 51. 89-102.
  • Hossain, A., M.A.H.S. Jahan, J. Timsina, A. Jaime, T. Silva, M.G. Mahboob and M. Farhad, 2018. Biplot yield analysis of heattolerant spring wheat genotypes (Triticum aestivum L.) in multiple growing environments. Open Agriculture. 3(1): 404- 413.
  • Ilker, E., M. Kocaturk, A. Kadiroglu, M. Altinbas, A. Yildirim, G. Ozturk and H. Yildiz. 2018. Stability analyses for double cropping in soybean [(Glycine max L.) Merr]. Turk. J. Field Crops. 23(2): 80-84.
  • Islam, M.R. and S. Hoshain. 2022. A brief review on the present status, problems and prospects of maize production in Bangladesh. Research in Agriculture Livestock and Fisheries. 9(2):89–96.
  • Katsenios, N.P., D. Leonidakis, G. Katsaros, I. Kakabouki, D. Vlachakis and A. Efthimiadou. 2021. Effect of genotype environment interaction on yield of maize hybrids in Greece using AMMI analysis. Agronomy.11:479.
  • Kaundal R. and B.K. Sharma. 2006. Genotype × environment interaction and stability analysis for yield and other quantitative traits in maize (Zea mays L.) under rainfed and high rainfall valley areas of the sub mountain. Res Crops 7(1): 171-180.
  • Kaya, Y., M. Akcura and S. Taner. 2006. GGE-biplot analysis of multi-environment yield trials in bread wheat. Turk. J. Agric. For. 30: 325-337.
  • Kizilgeci, F., O. Albayrak and M. Yildirim. 2019. Evaluation of thirteen durum wheat (Triticium durum Desf.) genotypes suitable for multiple environments using GGE biplot analysis. Fresenius Environmental Bulletin.28(9): 6873- 6882.
  • Li, W. Z.H. Yan, Y.M. Wei, X.J. Lan and Y.L. Zheng. 2006. Evaluation of genotype × environment interactions in Chinese spring wheat by the AMMI model, correlation and path analysis. J. Agron. Crop. Sci. 192: 221–227.
  • Lu’Quez, J.E., L.A.N. Aguirrezabal, M.E. Aguero and Pereyra, V.R. 2002. Stability and adaptability of cultivars in nonbalanced yield trials. comparison of methods for selecting ’high oleic’ sunflower hybrids for grain yield and quality. J. Agron. Crop. Sci.188:225–234.
  • Mafouasson, H.N.A., V. Gracen, M.A. Yeboah, G. NtsombohNtsefong, L.N. Tandzi and C.S. Mutengwa. 2018. Genotypeby-environment interaction and yield stability of maize single cross hybrids developed from tropical inbred lines. Agronomy.8: 62.
  • Makumbi, D. 2005. Phenotypic and genotypic characterization of white maize inbreds, hybrids and synthetics under stress and non-stress environments. PhD dissertation Submitted to the Office of Graduate Studies of Texas A and M University.
  • Matin, M. Q. I., G. M. Rasul, A. K. M. A. Islam, M. A. K. Mian, J. U. Ahmed & M. Amiruzzaman. 2017. Stability analysis for yield and yield contributing characters in hybrid maize (Zea mays L.). African Journal of Agricultural Research. 12(37): 2795-2806.
  • Menkir, A., & M. A. Adepoju, 2005. Registration of 20 Tropical mid-altitude maize line sources with resistance to gray leaf spot. Crop Sci. 45: 803-804.
  • Mitrovic, B., D. Stanisavljevi, S. Treski, M. Stojakovic, M. Ivanovic, G. Bekavac and M. Rajkovic. 2012. Evaluation of experimental Maize hybrids tested in multi-location trials using AMMI and GGE biplot analysis. Turkish J. of Field Crops, 17(1): 35-40.
  • Mohammadi, R., R. Haghparast, A. Amri and S. Ceccarelli. 2010. Yield stability of rainfed durum wheat and GGE biplot analysis of multi-environment trials. Crop Past. Sci. 61: 92- 101.
  • Nzuve, F., S. Githiri, D. M. Mukunya and J. Gethi. 2013. Analysis of genotype × environment interaction for grain yield in maize hybrids. Journal of Agricultural Science. 5(11): 75-85. Rahman, H., Durreshawar, S, Ali, F. Iftikhar, I.H. Khalil, S.M.A. Shah and H. Ahmad. 2010. Stability analysis of maize hybrids across north west of Pakistan. Pak. J. Bot. 42(2): 1083-1091.
  • Ramos, Jr E.U., R.L. Brogin, V.P.C. Godinho, F.J.E. Botelho, F.D. Tardin and P.E. Teodoro. 2017. Identification of soybean genotypes with high stability for the Brazilian macro-region 402 via biplot analysis. Genetics and Molecular Research 16(3): 1-10.
  • Sabaghnia, N., H. Dehghani and S.H. Sabaghpour. 2008. Graphic analysis of genotype by environment interaction for lentil yield in Iran. Agron. J. 100:760–764.
  • Sharma, R. C., A. I. Morgounov, H. J. Braun, B. Akin, M. Keser, D. Bedoshvili and M. Ginkel. 2010. Identifying high yielding stable winter wheat genotypes for irrigated environments in Central and West Asia. Euphytica. 171:53-64.
  • Shiferaw, B., B. Prasanna, J. Hellin and M. Banziger. 2011. Crops that feed the world. 6. Past successes and future challenges to the role played by maize in global food security. Food Security. 3: 307–327.
  • Shiri, M. 2013. Grain yield stability analysis of maize (Zea mays L.) hybrids in different drought stress conditions using GGE biplot analysis. Crop Breeding Journal. 3(2):107-112.
  • Silveira, D.A., L.F. Pricinotto, M. Nardino, C.A. Bahry, C.E.C. Prete and L. Cruz. 2016. Determination of the adaptability and stability of soybean cultivars in different locations and at different sowing times in Paraná state using the AMMI and Eberhart and Russel methods. Ciências Agrárias Londrina. 3.7(6): 3973-3982.
  • Sousa, L.B., O.T. Hamawaki, A.P.O. Nogueira, R.O. Batista, V.M. Oliveira and R.L. Hamawaki. Evaluation of soybean lines and environmental stratification using the AMMI, GGE biplot, and factor analysis methods. 2015. Genetics and Molecular Research.14 (4): 12660-12674.
  • Yan, W., M.S. Kang., B. Ma, S. Woods and P.L. Cornelius. 2007. GGE (genotype and genotype by environment interaction) biplot vs. AMMI (additive main effects and multiplicative interaction) analysis of genotype-by-environment data.Crop Sci. 47:643–653.
  • Yan, W. and M.S. Kang. 2003. GGE biplot analysis: A graphical tool for breeders, geneticists, and agronomists. CRC Press, Boca Raton, FL, USA.
  • Yan, W. and I. Rajcan. 2002. Biplot analysis of test sites and trait relations of soybean in Ontario. Crop Sci. 42:11-20.
  • Yan, W., P.L. Cornelius, J. Crossa and L.A. Hunt. 2001. Two types of GGE biplots for analyzing multi-environment trial data. Crop Sci. 41: 656-663.
  • Yan, W., L.A. Hunt, Q. Sheng and Z. Szlavnics. 2000. Cultivar evaluation and mega-environment investigations based on the GGE biplot. Crop Sci. 40: 597-605.
  • Zhang, M., M.S. Kang, P.F. Reese Jr and H.L. Bhardwaj. 2006. Soybean cultivar evaluation via GGE biplot analysis. Journal of New Seeds 7(4): 37-50.
Year 2024, Volume: 29 Issue: 2, 242 - 250, 24.12.2024
https://doi.org/10.17557/tjfc.1398139

Abstract

References

  • Abay, F. and A. Bjornstad. 2009. Specific adaptation of barley varieties in different locations in Ethiopia. Euphytica.167: 181-195.
  • Agahi, K., J. Ahmadi, H.A. Oghan, M.H. Fotokian and S.F. Orang. 2020. Analysis of genotype × environment interaction for seed yield in spring oilseed rape using the AMMI model. Crop. Breed. Appl. Biotechnol. 20(1): e26502012.
  • Ahmed, A., A. Hossain, M. Amiruzzaman, M.A. Alam, M. Farooq, A.E. Sabagh and A. Kizilgeci. 2020. Evaluating short stature and high yielding maize hybrids in multiple environments using GGE biplot and AMMI models. Turk. J. Field Crops. 25(2): 216-226.
  • Ahmed, M., M.A. Mian and M.A. Chowdhury. 2011. Correlation study in maize. J. Agric. Res.16: 399-405.
  • Akçura, M., S. Taner & Y. Kaya. 2011. Evaluation of bread wheat genotypes under irrigated multi-environment conditions using GGE biplot analyses. Agriculture. 98(1): 35-40.
  • BBS. 2021. Bangladesh Bureau of Statistics, Year book of Agricultural Statistics (33rd Series), Ministry of Planning, Government of the People’s Republic of Bangladesh, Dhaka.
  • Bhartiya, A., J.P. Aditya, P. Singh, J.P. Purwar and A. Aga. 2017. AMMI and GGE biplot analysis of multi-environment yield trial of soybean in North Western Himalayan state Uttarakhand of India. Legume Research. 40(2): 306-312.
  • Carson, M.L., M.M. Goodman and S.M. Williamson. 2002. Variation in aggressiveness among isolates of Cercospora from maize as a potential cause of genotype-environment interaction in gray leaf spot trials. Plant Dis. 86: 1089-1093.
  • Choukan, R. 2011. Genotype, environment and genotype × environment interaction effects on the performance of maize (Zea mays L.) inbred lines. C. B. Journal. 1(2): 97-103.
  • Crossa, J., P.L. Cornelius and W. Yan. 2002. Biplots of linearbilinear models for studying crossover genotype × environment interaction. Crop Sci. 42: 619-633.
  • Dehghani, H., N. Sabaghnia and M. Moghaddam, 2009. Interpretation of genotype-by-environment interaction for late maize hybrids grain yield using a biplot method. Turkish J. Agric. and Forest. 33:139-148.
  • Dimitrios, B., G. Christos, R. Jesus and B. Eva. 2008. Separation of cotton cultivar testing sites based on representativeness and discriminating ability using GGE Biplots. Agron. J. 100: 1230-1236.
  • Eberhart, S.A. and W.A. Russell. 1966. Stability parameters for comparing varieties. Crop Sci. 6: 36-40.
  • Gauch, H.G. 1988. Model selection and validation for yield trials with interaction. Biometrics. 44:705-715.
  • Gauch, H.G. 2013. A simple protocol for AMMI analysis of yield trials. Crop. Sci. 53:1860-1869.
  • Hassan, A.A., M. Abdikadir, M. Hasan, A.K. Azad and M. Hasanuzzaman. 2018. Genetic variability and diversity studies in maize (Zea mays L.) inbred lines. IOSR Journal of Agriculture and Veterinary Science.11(11): 69-76.
  • Gulati, A., J. Dixon and J.M. Dixon. 2008. Maize in Asia: changing markets and incentives. Contributors: International Maize and Wheat Improvement Center, International Food Policy Research Institute, International Fund for Agricultural Development. Academic Foundation, pp.489.
  • Hongyu, K., M. García-Peña, L.B. De Araújo and C.T.D.S. Dias. 2014. Statistical analysis of yield trials by AMMI analysis of genotype × environment interaction. Biom. Lett. 51. 89-102.
  • Hossain, A., M.A.H.S. Jahan, J. Timsina, A. Jaime, T. Silva, M.G. Mahboob and M. Farhad, 2018. Biplot yield analysis of heattolerant spring wheat genotypes (Triticum aestivum L.) in multiple growing environments. Open Agriculture. 3(1): 404- 413.
  • Ilker, E., M. Kocaturk, A. Kadiroglu, M. Altinbas, A. Yildirim, G. Ozturk and H. Yildiz. 2018. Stability analyses for double cropping in soybean [(Glycine max L.) Merr]. Turk. J. Field Crops. 23(2): 80-84.
  • Islam, M.R. and S. Hoshain. 2022. A brief review on the present status, problems and prospects of maize production in Bangladesh. Research in Agriculture Livestock and Fisheries. 9(2):89–96.
  • Katsenios, N.P., D. Leonidakis, G. Katsaros, I. Kakabouki, D. Vlachakis and A. Efthimiadou. 2021. Effect of genotype environment interaction on yield of maize hybrids in Greece using AMMI analysis. Agronomy.11:479.
  • Kaundal R. and B.K. Sharma. 2006. Genotype × environment interaction and stability analysis for yield and other quantitative traits in maize (Zea mays L.) under rainfed and high rainfall valley areas of the sub mountain. Res Crops 7(1): 171-180.
  • Kaya, Y., M. Akcura and S. Taner. 2006. GGE-biplot analysis of multi-environment yield trials in bread wheat. Turk. J. Agric. For. 30: 325-337.
  • Kizilgeci, F., O. Albayrak and M. Yildirim. 2019. Evaluation of thirteen durum wheat (Triticium durum Desf.) genotypes suitable for multiple environments using GGE biplot analysis. Fresenius Environmental Bulletin.28(9): 6873- 6882.
  • Li, W. Z.H. Yan, Y.M. Wei, X.J. Lan and Y.L. Zheng. 2006. Evaluation of genotype × environment interactions in Chinese spring wheat by the AMMI model, correlation and path analysis. J. Agron. Crop. Sci. 192: 221–227.
  • Lu’Quez, J.E., L.A.N. Aguirrezabal, M.E. Aguero and Pereyra, V.R. 2002. Stability and adaptability of cultivars in nonbalanced yield trials. comparison of methods for selecting ’high oleic’ sunflower hybrids for grain yield and quality. J. Agron. Crop. Sci.188:225–234.
  • Mafouasson, H.N.A., V. Gracen, M.A. Yeboah, G. NtsombohNtsefong, L.N. Tandzi and C.S. Mutengwa. 2018. Genotypeby-environment interaction and yield stability of maize single cross hybrids developed from tropical inbred lines. Agronomy.8: 62.
  • Makumbi, D. 2005. Phenotypic and genotypic characterization of white maize inbreds, hybrids and synthetics under stress and non-stress environments. PhD dissertation Submitted to the Office of Graduate Studies of Texas A and M University.
  • Matin, M. Q. I., G. M. Rasul, A. K. M. A. Islam, M. A. K. Mian, J. U. Ahmed & M. Amiruzzaman. 2017. Stability analysis for yield and yield contributing characters in hybrid maize (Zea mays L.). African Journal of Agricultural Research. 12(37): 2795-2806.
  • Menkir, A., & M. A. Adepoju, 2005. Registration of 20 Tropical mid-altitude maize line sources with resistance to gray leaf spot. Crop Sci. 45: 803-804.
  • Mitrovic, B., D. Stanisavljevi, S. Treski, M. Stojakovic, M. Ivanovic, G. Bekavac and M. Rajkovic. 2012. Evaluation of experimental Maize hybrids tested in multi-location trials using AMMI and GGE biplot analysis. Turkish J. of Field Crops, 17(1): 35-40.
  • Mohammadi, R., R. Haghparast, A. Amri and S. Ceccarelli. 2010. Yield stability of rainfed durum wheat and GGE biplot analysis of multi-environment trials. Crop Past. Sci. 61: 92- 101.
  • Nzuve, F., S. Githiri, D. M. Mukunya and J. Gethi. 2013. Analysis of genotype × environment interaction for grain yield in maize hybrids. Journal of Agricultural Science. 5(11): 75-85. Rahman, H., Durreshawar, S, Ali, F. Iftikhar, I.H. Khalil, S.M.A. Shah and H. Ahmad. 2010. Stability analysis of maize hybrids across north west of Pakistan. Pak. J. Bot. 42(2): 1083-1091.
  • Ramos, Jr E.U., R.L. Brogin, V.P.C. Godinho, F.J.E. Botelho, F.D. Tardin and P.E. Teodoro. 2017. Identification of soybean genotypes with high stability for the Brazilian macro-region 402 via biplot analysis. Genetics and Molecular Research 16(3): 1-10.
  • Sabaghnia, N., H. Dehghani and S.H. Sabaghpour. 2008. Graphic analysis of genotype by environment interaction for lentil yield in Iran. Agron. J. 100:760–764.
  • Sharma, R. C., A. I. Morgounov, H. J. Braun, B. Akin, M. Keser, D. Bedoshvili and M. Ginkel. 2010. Identifying high yielding stable winter wheat genotypes for irrigated environments in Central and West Asia. Euphytica. 171:53-64.
  • Shiferaw, B., B. Prasanna, J. Hellin and M. Banziger. 2011. Crops that feed the world. 6. Past successes and future challenges to the role played by maize in global food security. Food Security. 3: 307–327.
  • Shiri, M. 2013. Grain yield stability analysis of maize (Zea mays L.) hybrids in different drought stress conditions using GGE biplot analysis. Crop Breeding Journal. 3(2):107-112.
  • Silveira, D.A., L.F. Pricinotto, M. Nardino, C.A. Bahry, C.E.C. Prete and L. Cruz. 2016. Determination of the adaptability and stability of soybean cultivars in different locations and at different sowing times in Paraná state using the AMMI and Eberhart and Russel methods. Ciências Agrárias Londrina. 3.7(6): 3973-3982.
  • Sousa, L.B., O.T. Hamawaki, A.P.O. Nogueira, R.O. Batista, V.M. Oliveira and R.L. Hamawaki. Evaluation of soybean lines and environmental stratification using the AMMI, GGE biplot, and factor analysis methods. 2015. Genetics and Molecular Research.14 (4): 12660-12674.
  • Yan, W., M.S. Kang., B. Ma, S. Woods and P.L. Cornelius. 2007. GGE (genotype and genotype by environment interaction) biplot vs. AMMI (additive main effects and multiplicative interaction) analysis of genotype-by-environment data.Crop Sci. 47:643–653.
  • Yan, W. and M.S. Kang. 2003. GGE biplot analysis: A graphical tool for breeders, geneticists, and agronomists. CRC Press, Boca Raton, FL, USA.
  • Yan, W. and I. Rajcan. 2002. Biplot analysis of test sites and trait relations of soybean in Ontario. Crop Sci. 42:11-20.
  • Yan, W., P.L. Cornelius, J. Crossa and L.A. Hunt. 2001. Two types of GGE biplots for analyzing multi-environment trial data. Crop Sci. 41: 656-663.
  • Yan, W., L.A. Hunt, Q. Sheng and Z. Szlavnics. 2000. Cultivar evaluation and mega-environment investigations based on the GGE biplot. Crop Sci. 40: 597-605.
  • Zhang, M., M.S. Kang, P.F. Reese Jr and H.L. Bhardwaj. 2006. Soybean cultivar evaluation via GGE biplot analysis. Journal of New Seeds 7(4): 37-50.
There are 47 citations in total.

Details

Primary Language English
Subjects Cereals and Legumes
Journal Section Articles
Authors

Nasrın Jahan 0000-0003-2227-4697

Md. Sarowar Hossaın This is me 0009-0003-5122-5824

Md. Saleh Uddın This is me 0009-0005-7305-6368

Md. Ashraful Alam 0000-0002-8839-7895

Md. Rashedul Islam 0000-0003-0166-3597

Quazi Maruf Ahmed This is me 0000-0002-1502-166X

Mst. Fatima Khatun This is me 0000-0002-6067-3106

Mohammad Golam Hossaın This is me 0000-0001-5054-9489

Abu Nayem Md. Sajedul Karım This is me 0009-0008-9082-6792

Nishat Jahan This is me 0000-0003-0344-7353

Nizam Uddin Ahmed This is me 0000-0002-8308-1162

Rojina Akter This is me 0000-0001-8172-9220

Sherity Hasna This is me 0009-0008-8357-411X

Publication Date December 24, 2024
Submission Date November 30, 2023
Acceptance Date November 21, 2024
Published in Issue Year 2024 Volume: 29 Issue: 2

Cite

APA Jahan, N., Hossaın, M. S., Uddın, M. S., Alam, M. A., et al. (2024). EVALUATION OF MAIZE HYBRID IN MULTI-LOCATIONAL TRIAL USING GGE BIPLOT AND AMMI MODEL. Turkish Journal Of Field Crops, 29(2), 242-250. https://doi.org/10.17557/tjfc.1398139
AMA Jahan N, Hossaın MS, Uddın MS, Alam MA, Islam MR, Ahmed QM, Khatun MF, Hossaın MG, Karım ANMS, Jahan N, Ahmed NU, Akter R, Hasna S. EVALUATION OF MAIZE HYBRID IN MULTI-LOCATIONAL TRIAL USING GGE BIPLOT AND AMMI MODEL. TJFC. December 2024;29(2):242-250. doi:10.17557/tjfc.1398139
Chicago Jahan, Nasrın, Md. Sarowar Hossaın, Md. Saleh Uddın, Md. Ashraful Alam, Md. Rashedul Islam, Quazi Maruf Ahmed, Mst. Fatima Khatun, Mohammad Golam Hossaın, Abu Nayem Md. Sajedul Karım, Nishat Jahan, Nizam Uddin Ahmed, Rojina Akter, and Sherity Hasna. “EVALUATION OF MAIZE HYBRID IN MULTI-LOCATIONAL TRIAL USING GGE BIPLOT AND AMMI MODEL”. Turkish Journal Of Field Crops 29, no. 2 (December 2024): 242-50. https://doi.org/10.17557/tjfc.1398139.
EndNote Jahan N, Hossaın MS, Uddın MS, Alam MA, Islam MR, Ahmed QM, Khatun MF, Hossaın MG, Karım ANMS, Jahan N, Ahmed NU, Akter R, Hasna S (December 1, 2024) EVALUATION OF MAIZE HYBRID IN MULTI-LOCATIONAL TRIAL USING GGE BIPLOT AND AMMI MODEL. Turkish Journal Of Field Crops 29 2 242–250.
IEEE N. Jahan, “EVALUATION OF MAIZE HYBRID IN MULTI-LOCATIONAL TRIAL USING GGE BIPLOT AND AMMI MODEL”, TJFC, vol. 29, no. 2, pp. 242–250, 2024, doi: 10.17557/tjfc.1398139.
ISNAD Jahan, Nasrın et al. “EVALUATION OF MAIZE HYBRID IN MULTI-LOCATIONAL TRIAL USING GGE BIPLOT AND AMMI MODEL”. Turkish Journal Of Field Crops 29/2 (December 2024), 242-250. https://doi.org/10.17557/tjfc.1398139.
JAMA Jahan N, Hossaın MS, Uddın MS, Alam MA, Islam MR, Ahmed QM, Khatun MF, Hossaın MG, Karım ANMS, Jahan N, Ahmed NU, Akter R, Hasna S. EVALUATION OF MAIZE HYBRID IN MULTI-LOCATIONAL TRIAL USING GGE BIPLOT AND AMMI MODEL. TJFC. 2024;29:242–250.
MLA Jahan, Nasrın et al. “EVALUATION OF MAIZE HYBRID IN MULTI-LOCATIONAL TRIAL USING GGE BIPLOT AND AMMI MODEL”. Turkish Journal Of Field Crops, vol. 29, no. 2, 2024, pp. 242-50, doi:10.17557/tjfc.1398139.
Vancouver Jahan N, Hossaın MS, Uddın MS, Alam MA, Islam MR, Ahmed QM, Khatun MF, Hossaın MG, Karım ANMS, Jahan N, Ahmed NU, Akter R, Hasna S. EVALUATION OF MAIZE HYBRID IN MULTI-LOCATIONAL TRIAL USING GGE BIPLOT AND AMMI MODEL. TJFC. 2024;29(2):242-50.

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