SELECTION OF A CORN HYBRID FOR SYSTEMS MECHANIZED PLANTING IN PANAMA

Keywords: Adaptability, Biplot SReg, reliability of the normalized response, simple cross, stability.

Abstract

With the aim of selecting a corn hybrid to be used in the mechanized planting system in Panama, the adaptability and stability of many normal grain yellow corn hybrids was evaluated. To achieve this, 40 trials were planted in different locations. The trials were planted in fields of collaborating farmers during five years (2016-2020). All genetic material evaluated came from the International Maize and Wheat Improvement Center Maize Program. The number of hybrids varied over the years, so the experimental design also varied. Alpha Lattice designs with three replications were used. An individual variance analysis and a combined REML type analysis per year were applied to the data obtained, eliminating from the combined analysis all locations with a repeatability of less than 0.05. The means were separated using the Least Significant Difference and stability through the GGE-SReg Biplot Model. The analysis of individual variance per year and combined across years showed highly significant differences between the different hybrids evaluated for the variable grain yield and other agronomic characteristics. After five years, the tester 30F35 had a yield of 6.75 t·ha-1, and this was surpassed 18% by the single cross CLTHY15107 with a yield of 7.96 t·ha-1. The stability analysis identified the latter as the most stable across locations in three of the five years and among the three most stable in the other two years. Analysis of the reliability of the normalized response indicated that in eight out of ten locations CLTHY15107 outperformed the control. According to the results of this research, it is concluded that this simple cross meets the requirements to be registered and its planting could be recommended by farmers in the Republic of Panama.

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References

Camargo-Buitrago, I., Gordón Mendoza, R., y Quirós McIntire, E.I. (2017). La repetitividad como estimador de la precisión experimental en el análisis de experimentos. Agronomía Mesoamericana 28(1), 159-169. https://doi.org/10.15517/am.v28i1.24239

Camargo, I., Quirós, E. I., y Camargo, V. M. (2014). Selección de nuevos genotipos de arroz basados en la probabilidad de superar al testigo. Agron. Mesoamericana, 25(1), 63-71. https://doi.org/10.15517/am.v25i1.14198

Córdova, H. S., Barreto, H. J., y Crossa, J. (1993). Impacto del desarrollo de híbridos en Centro América: Confiabilidad de las ganancias en rendimiento sobre el genotipo H5 y consideraciones para selección de testigos regionales. En: Síntesis de resultados Experimentales del PRM. 4:3-10. http://hdl.handle.net/10883/3636

Cornelius, P. L.; Crossa, J.; and Seyedsadr, M. S. (1993). Tests and estimators of multiplicative models for variety trials. Conference on Applied Statistics in Agriculture. https://doi.org/10.4148/2475-7772.1379

Eskridge, K. M. (1997). Evaluation of corn hybrids using the probability of outperforming a check based on strip-test data. Journal of agricultural, biological and environmental statistics, 2(3), 245-254. https://doi.org/10.2307/1400444

Eskridge, K. M., Smith, O. S., y Byrne, P. F. (1993). Comparing test cultivars using reliability functions of test check differences from on farm trials. Theor. Appl. Genet. 87, 60-64. https://doi.org/10.1007/BF00223745

Eskridge, K. M., y Mumm, R. F. (1992). Choosing plant cultivars based on the probability of outperforming a check. Theor Appl. Genet. 84, 494-500. https://doi.org/10.1007/bf00229512

Gordón M, R., y Camargo B, I. (2015). Selección de estadísticos para la estimación de la precisión experimental en ensayos de maíz. Agronomía Mesoamericana, 26(1), 55-63. https://doi.org/10.15517/AM.V26I1.16920

Gordón M, R. (2021). El maíz en Panamá: Características, requerimientos y recomendaciones para su producción en ambientes con alta variabilidad climática. IDIAP. 110 p. https://proyectos.idiap.gob.pa/uploads/adjuntos/manual_tecnico_el_maiz_en_panama.pdf

Holland, J. B., Nyquist, W. E., and Cervantes-Martínez, C. T. (2002). Estimating and interpreting heritability for plant breeding: An Update. Plant Breed. Rev. 22, 9-11. https://doi.org/10.1002/9780470650202.ch2

Vargas, M., Combs, E., Alvarado, G., Atlin, G., Mathews, K., y Crossa, J. (2013). META: A suite of SAS Programs to analyze Multi environment breeding trials. Agron. J. 105, 11-19. http://dx.doi.org/10.2134/agronj2012.0016

Yan, W. (2014). Crop variety trials. Data management and analysis. John Wiley & Sons Inc., MA, USA. ISBN: 978-1-118-68864-9

Yan, W., and J.B. Holland. (2010). A heritability adjusted GGE Biplot for test environmental evaluation. Euphytica, 171, 355-369. https://doi.org/10.1007/s10681-009-0030-5

Yan, W., y Hunt, L. A. (2002). Biplot analysis of multi-environment trial data. En: M. S. Kang, editor, Quantitative genetics, genomics and plant breeding. CAB International, Wallingford. p. 289-319. https://doi.org/10.1079/9780851996011.0289

Yan, W., Hunt, L. A., Sheng, Q., y Szlavnics, Z. (2000). Cultivar Evaluation and Mega Environment Investigation based on the GGE Biplot. Crop Sci. 40, 597-605. https://doi.org/10.2135/cropsci2000.403597x

Published
2024-07-10
How to Cite
Gordón-Mendoza, R., Franco-Barrera, J., Ramos-Manzané, F., & San Vicente-García, F. (2024). SELECTION OF A CORN HYBRID FOR SYSTEMS MECHANIZED PLANTING IN PANAMA. Ciencia Agropecuaria, (39), 135-159. Retrieved from http://www.revistacienciaagropecuaria.ac.pa/index.php/ciencia-agropecuaria/article/view/655
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