Years required for field evaluation of bread wheat cultivars in Argentina
Article Sidebar
Main Article Content
Abstract
In Argentina, current regulations establish four years of yield evaluation for any new commercial bread wheat cultivar. The objective of this work was to determine the optimum number of years of evaluation in comparative yield trials of bread wheat cultivars, conditioning this optimum to the quality group, growth cycle and phytosanitary management. Variance components (REML) were estimated from the data of the bread wheat cultivar evaluation network of Argentina (RET), corresponding to ten experimental sites. The three quality groups (GC1, GC2 and GC3), the first and third sowing season (E1 and E3), and management with and without fungicide (CF and SF) were considered. The results show that three years of trials are required to evaluate the performance of the different quality groups and growth cycles managed CF. For SF, four years are required, except for GC1 in E3 and GC2 in E1, which demand three and more than five years, respectively. These results indicate that the current standard is appropriate for most cases; it could even be reduced to three CF, to improve trial quality and increase the number of repetitions.
Article Details
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
How to Cite
References
Abbate, P. E. (2018). ¿Qué es “la RET”? INTA. Ministerio de Agroindustria, Presidencia de la Nación. https://doi.org/10.13140/RG.2.2.25496.03845
Abbate, P. E. (2019). Índice de calidad de trigo pan método 2019 [Documento digital]. INASE. Disponible en: t.ly/zlRP
Abbate, P., Miralles, D. y Ballesteros, A. (2021). Nuevo mapa de subregiones trigueras argentinas y de otros cereales invernales 2021. INASE. Ministerio de Agricultura, Ganadería y Pesca, Presidencia de la Nación. https://doi.org/10.13140/RG.2.2.21236.48000
Aguate, F., Crossa, J. y Balzarini, M. (2019). Effect of Missing Values on Variance Component Estimates in Multienvironment Trials. Crop Science, 59(2), 508–517. https://doi.org/10.2135/cropsci2018.03.0209
Arief, V. N., DeLacy, I. H., Crossa, J., Payne, T., Singh, R., Braun, H. J., Tian, T., Basford, K. E. y Dieters, M. J. (2015). Evaluating Testing Strategies for Plant Breeding Field Trials: Redesigning a CIMMYT International Wheat Nursery. Crop Science, 55(1), 164–177. https://doi.org/10.2135/cropsci2014.06.0415
Balzarini, M. (2002). Applications of mixed models in plant breeding. En M. S. Kang (Ed.), Quantitative genetics, genomics and plant breeding (2da Ed., 353–363). CABI: Digital Library. https://doi.org/10.1079/9780851996011.0353
Baxevanos, D., Korpetis, E., Irakli, M. y Tsialtas, I. Τ. (2017). Evaluation of a durum wheat selection scheme under Mediterranean conditions: adjusting trial locations and replications. Euphytica, 213(4), 82. https://doi.org/10.1007/s10681-017-1871-y
Falconer, D. y Mackay, T. (1996). Introduction to Quantitative Genetics (4a Ed.). Longman.
Fehr, W. (1991). Principles of Cultivar Development: Theory and Technique. Agronomy Book1. Digital Repository: Iowa State University. https://core.ac.uk/download/pdf/212817093.pdf
Instituto Nacional de Semillas (INASE) (2003). Resolución 323/2003. Crease la red de ensayos comparativos de variedades de trigo (RET) en el ámbito de la Secretaría de Agricultura, Ganadería, Pesca y Alimentos dependiente del Ministerio de Economía y Producción. Boletín Oficial de la República Argentina, Primera Sección, 30175, 6.
Martínez-Rueda, C. G. y López-Castañeda, C. (2004). Eficiencia de la selección indirecta en el mejoramiento de trigo para condiciones limitantes y no limitantes de humedad. Revista Fitotecnia Mexicana, 27(2), 191–199. https://doi.org/10.35196/rfm.2004.2.191
Miranda, R. y Salomón N. (2001). Índice de calidad como herramienta para determinar la aptitud de los materiales genéticos. En M. M Kohli, M. D. Ackermann y M.D. de Castro (Eds.), Estrategias y metodologías utilizadas en el mejoramiento de trigo (163-173). Ed. Hemisferio Sur.
Montgomery, D. C. (2004). Diseño y análisis de experimentos (2daEd.). Grupo Noriega Editores.
Patterson, H. D., Silvey, V., Talbot, M. y Weatherup, S. T. C. (1977). Variability of yields of cereal varieties in U. K. trials. The Journal of Agricultural Science, Cambridge, 89(1), 239–245.
SAS Institute Inc. (2020). SAS Studio (3.8 EnterpriseEdition) [Software]. SAS OnDemand for Academics. https://welcome.oda.sas.com/login
Woyann, L. G., Zdziarski, A. D., Zanella, R., Rosa, A. C., Conte, J., Meira, D., Storck, L. y Benin, G. (2020). Optimal number of replications and test locations for soybean yield trials in Brazil. Euphytica, 216(1), 11. https://doi.org/10.1007/s10681-019-2548-5
Yan, W. (2013). Biplot Analysis of Incomplete Two-Way Data. Crop Science, 53(1), 48–57. https://doi.org/10.2135/cropsci2012.05.0301
Yan, W., Frégeau-Reid, J., Martin, R., Pageau, D. y Mitchell-Fetch, J. (2015). How many test locations and replications are needed in crop variety trials for a target region? Euphytica, 202(3), 361–372. https://doi.org/10.1007/s10681-014-1253-7