Growth Performance and AMMI Yield Stability Analysis of Five New Maize Hybrid Populations

- Rustikawati, Atra Romeida, Eko Suprijono, Catur Herison


Multi-environment yield trials are essential in an estimation of genotype by environment (GE) interaction and identification of superior genotypes in the final selection cycles.  The objective of this study was to evaluate yield stability of five hybrid maize in three locations using AMMI (Additive Main Effects and Multiplicative Interaction) method.  A randomized block design with three replications was applied to the experiment at each site. The genotypes tested were UNIB CT5, UNIB CT8, UNIB CT9, UNIB CT13, and UNIB CT14.  The hybrids were single-crosses from selected pairs of S6 gamma irradiated mutant parental lines.  The hybrids were cultivated in three different locations with different agroclimatic.  They were Air Duku village, district of Curup, Rejang Lebong (rainy season of the year of 2014); Kandang Limun village, district of Muara Bangkahulu, Bengkulu (wet season of the year of 2015) and Medan Baru village, district of Muara Bangkahulu, Bengkulu (dry season of the year of 2015).  The results showed that among five newly developed hybrids tested, CT8 and CT9 were the most prospective genotype for Ultisol for a dry and wet season, respectively.  Based on the postdictive success and predictive success methods, the model used (AMMI 2) was able to explain 89% interaction-influenced variation.  The genotypes found stable in three locations based on AMMI analyses was UNIB CT14.  Three hybrids were considered specific adaptation.  They were UNIB CT9 for rainy season of Kandang Limun, UNIB CT8 for dry season of Medan Baru and UNIB CT13 for rainy season of Curup.  UNIB CT5 did not adapt to any of the three environments tested.


yield; stability; maize hybrid; AMMI.

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K.K. Tripathi, R. Warrier, O.P. Govila, V. Ahuja, Biology of Zea mays (Maize), Dep. Biotechnol. Ministry of Science and Technology & Ministry of Environment and Forests, Gov. India, 2011.

P. Ranum, J.P. Peña -Rosas, and M.N. Garcia-Casal, “Global maize production, utilization, and consumption,”,Ann.N.Y.Acad.Sci., vol. 1312(1) , pp.105-112, 2014.

Statistic Indonesia, “Foreign Trade Statistical Bulletin:Imports, “ Jakarta, Indonesia; BPS Statistic Indonesia, 2014.

Statistic Indonesia, “Foreign Trade Statistical Bulletin:Impors, “ Jakarta, Indonesia; BPS Statistic Indonesia, 2015.

K.H. Tan, Soils in the Humid Tropics and Monsoon Region of Indonesia, Florida, USA: CRC Press, 2008.

N. Hakim, R. Alfina, H. Agustian, and Yulnafatmawita, “Bacterial inoculants to increase the biomass and nutrient uptake of tithonia cultivated as hedgerow plants in Ultisols,” Malays J. Soil Sci., vol. 18, pp. 115-123, 2014.

E.C. Omondi, J.B. Norton and D.S. Ashilenje, “Performance of a local open pollinated maize vaariety and a common hybrid variety under intensive small-scale farming practices,” Afr. J. Agric. Res., vol.9 (11), pp. 950-955, 2014.

Y. Soelaeman and U. Haryati, “ Soil physical properties and production of upland Ultisol soil as influenced by manure application and P fertilization,” Agrivita, vol. 34(2), pp. 136-143, 2012.

M. Syukur, S. Sujiprihati, R. Yunianti, dan D. A. Kusumah, “Evaluasi daya hasil cabai hibrida dan daya adaptasinya di empat lokasi dalam dua tahun,” J. Agron. Indonesia, vol. 38(1), pp. 43–51, 2010.

H .G. Gauch, “Statistical analysis of yield trials by AMMI and GGE,” Crop Sci, vol. 46(4), pp. 1488–1500, 2006.

P. H. C. de Mattos, R. A. de Oliveira, J. C. B. Filho, E. Daros and M. A. A. Veríssimo, “ Evaluation of sugarcane genotypes and production environments in Paraná by GGE biplot and AMMI analysis,” Crop Breed. and Appl. Biotechnol., vol.13(1), pp. 83-90, 2013.

R. W. Zobel, M. J. Wright and H. G. Gauch, “Statistical analysis of a yield trial, ” Agron. J., vol. 80(3), pp. 388–393, 1988.

P.S. Rao, P.S. Reddy, A. Rathore, B.V. Reddy and S. Panwar, “Application GGE biplot and AMMI model to evaluate sweet sorghum (Sorghum bicolor) hybrids for genotype x environment interaction and seasonal adaptation,” Indian J. Agric. Sci., vol. 81(5), pp. 438-444, 2011.

A. Khalil, H. Rahman, N. U. Rehman, M. Arif, I. H. Khalil, M. Iqbal, Hidayatullah, K. Afridi, M. Sajjad, and M. Ishaq, “Evaluation of maize hybrids for grain yield stability in north-west of Pakistan,” Sarhad J. Agric, vol. 27(2), pp. 213–218. 2011.

M. Munawar, G. Hammad and M. Shahbaz, “Evaluation of maize (Zea mays L.) hybrids under different environments by GGE biplot analysis,” Am-Eurasian J. Agric. Environ. Sci., vol. 13(9), pp. 1252–1257, 2013.

Rustikawati, E. Supriyono, A. Romeida, C. Herison, S.H. Sutjahjo, “Identification of M4 gamma irradiated maize mutant based on RAPD markers” Agrivita, vol.34(2), pp. 161-165, 2012.

B. Setyawan, I. Suliansyah, A. Anwar, E. Swasti, “Preliminary trial of 11 new hybrid maize genotype to the resistance on Java Downy Mildew (Peronosclerospora maydis),” Int. J. Adv. Sci. Eng. Inf. Technol. vol. 6(2), pp. 262-264, 2016.

B. Setyawan, I. Suliansyah, A. Anwar, E. Swasti, “Agronomic characters, yield components and grain yield evaluation of 11 new hybrid mayze prospective genotypes,” Int. J. Adv. Sci. Eng. Inf. Technol. vol. 6(4), pp. 483-488, 2016.

H. G. Gauch, H. P. Piepho, and P. Annicchiarico, “Statistical analysis of yield trials by AMMI and GGE: Further considerations,” Crop Sci, vol. 48(3), pp. 866–889, 2008.

M. Vargas, J. Crossa, K. Sayre, M. Reynolds, M. E. Ramirez, M. Talbot, “Interpreting genotype x environment interaction in wheat by Partial Least Square Regression,” Crop Sci. vol. 38(3), pp. 679–689. 1998.

J. N. Nwite, “Predicting grain yields of maize in an Ultisol amended with organic wastes using modified productivity index in Abakaliki, Southeastern Nigeria,” Afr. J. Agric. Res., vol 11(44), pp. 4434-4443, 2016.

A.O. Akongwubel, U. B. Ewa, A. Prince, O. Jude, A. Martins, O. Simon, O. Nicholas, “Evaluation of agronomic performance of maize (Zea mays L.) under different rates of poultry manure application in an Ultisol of Obubra, Cross River State, Nigeria,” Int. J. Agric. For., vol 2(4), pp.138-144, 2012.

C. Herison, M. Handajaningsih, Fahrurrozi, and Rustikawati, “Wet season trials on growth and yield of six newly developed chili pepper hybrids at three different locations”, Int. J. Adv. Sci. Eng. Inf. Technol. vol. 7(5), pp. 913-919, 2017.

A. A. Mattjik, I. M. Sumertajaya, A.F. Hadi, and G. N. A. Wibawa. Additive Main-effect and Multiplicative Interaction (AMMI) Modeling : Present and Future (in Indonesian), IPB Press, 2011.

B. Mitrović, D. Stanisavljevi, S. Treski, M. Stojaković, M. Ivanović, G. Bekavac, M. Rajković, “Evaluation of experimental maize hybrids tested in multi-location trials using AMMI and GGE biplot analyses,” Turk. J. Field Crops, vol. 17(1), pp. 35-40. 2012.

E. T. Nuss, S. A. Tanumihardjo, “Maize: a paramount staple crop in the context of global nutrition” Compr. Rev. in Food Sci. Food Saf. vol. 9(4), pp.417-436, 2010.



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