Wheat grain yield prediction in the subhumid dry pampean region based on different weather indices

  • Miguel Ángel Fernández Universidad Nacional de La Pampa, Facultad de Agronomía

DOI:

https://doi.org/10.19137/semiarida.2019(02).61-72

Keywords:

Triticum aestivum; prediction; yield; nitrogen response

Abstract

The bread wheat is the most important winter crop in the subhumid dry Pampa region, but it has great interannual variability in grain yield. The objective this work was to predict the grain yield and the response to the aggregate of nitrogen fertilizer, based on different climate indices in the autumn prior to sowing. The trials were performed for a period of 22 years in the Agronomy Faculty of the UNLPam (36° 32' 49" S; 64° 18' 20" W). The fertilized treatment was added 100 kg.ha-1 of broadcast urea in early tillering. Climatic indexes were used for prediction; ONI (Ocean Child index), MEI (multivariate ENSO index) and TSA (Tropical South Atlantic). The MEI index of MarchApril and the ONI index of FebruaryMarchApril did not explain the grain yield. There was a negative relationship between the SST index (sea surface temperature) of March in zone 6.1 of the Atlantic Ocean (5° and 25°S, 0° and 20° W) with the grain yield and also with the response to the fertilizer aggregate. As the index increased, the grain yield and response to the aggregate of fertilizer decreased. This could beincorporated in the decision models prior of the sowing of wheat to estimate the achievable yields and also to improve the models of response to nitrogen fertilization in the region.

Downloads

Download data is not yet available.

References

Aliaga, V. S., Ferrelli, F., & Piccolo, M. C. (2017). Regionalization of climate over the Argentine Pampas. International Journal of Climatology, 37, 1237­-1247.

Anderson, W., Seager, R., Baethgen, W., & Cane, M. (2016). Life cycles of agriculturally relevant ENSO teleconnections in North and South America. International Journal of Climatology. http://dx.doi.org/10.1002/joc.4916

Andreoli, R. V., & Kayano, M. T. (2004). Multi­scale variability of the sea surface temperature in the Tropical Atlantic, Journal of Geophysical Research, 109, C05009, http://dx.doi.org/10.1029/2003JC002220

Andreoli, R. V., & Kayano, M. T. (2006). Tropical Pacific and tropical South Atlantic effect on rainfall variability over Northeast Brazil. International Journal of Climatology, 26, 1895­-1912.

Aramburu Merlos, F., Monzon, J. P., Mercau, J. L., Taboada, M., Andrade, F. H., Hall, A. J., Jobbagy, E., Cassman, K. G., & Grassini, P. (2015). Potential for crop production increase in Argentina through closure of existing yield gaps. Field Crops Research, 184, 145-­154.

Asseng, S., McIntosh, P. C., Wang, G., & Khimashia, N. (2012). Optimal N fertiliser management based on a seasonal forecast. European Journal of Agronomy, 38, 66-­73.

Barros, V. R., Castañeda, M. E., & Doyle, M. E. (2000). Recent precipitation trends in Southern South America East of the Andes: an indication of climatic variability. En P.P. Smolka, V. Volkheimer (Eds.), Southern Hemisphere Paleo & Neoclimates: Key Sites, Methods, Data and Models (pp. 187­206). Berlin: Springer­Verlag.

Bombardi, R. J., Carvalho, L. M. V., Jones, C., & Reboita, M. S. (2014). Precipitation over eastern South America and the South Atlantic Sea surface temperature during neutral ENSO periods. Climate Dynamics, 42, 1553-­1568.

Dhillon, S. S., & Ortiz Monasterio, J. I. (1993). Effects of date of Sowing on the yield and yield components of spring wheat and their relationship with solar radiation and temperature at Ludhiana, Punjab, India. Wheat special Report 23b.

Díaz, R. A., & Mormeneo, I. (2002). Zonificación del clima de la Región Pampeana mediante análisis de conglomerados con consenso. Revista Argentina de Agrometeorología, 2, 125-­131.

Di Rienzo, J. A., Casanoves, F., Balzarini, M. G., González, L., Tablada, M., & Robledo, C. W. (2013). InfoStat versión 2013. Grupo InfoStat, FCA, Universidad Nacional de Córdoba. Argentina.

Enfield, D. B., Mestas, A. M., Mayer, D. A., & Cid­Serrano, L. (1999). How ubiquitous is the dipole relationship in tropical Atlantic sea surface temperatures, Journal of Geophysical Research, 104, 7841-­7848.

Fernández, M. A. (2007). Estrategias para mejorar el rendimiento de cereales graníferos invernales en la Región Semiárida Pampeana Central. (Tesis MSc. UNS), Bahía Blanca, Argentina.

Fernández, M. A. (2013). Estrés hídrico: sus efectos sobre el rendimiento de grano y la eficiencia de uso del agua de trigo pan (Triticum aestivum L.), trigo fideos (Triticum durum Desf.) y Triticale (X Triticosecale, Wittmack). Revista de la Facultad de Agronomía UNLPam., 23, 7­-23 https://cerac.unlpam.edu.ar/index.php/semiarida/article/view/3265/3150

Fernández, M. A., & Zingaretti, O. (2015). El uso consuntivo en el período crítico para la predicción del rendimiento en grano de trigo pan, trigo candeal y triticale en la región semiárida pampeana. Semiárida. Revista de la Facultad de Agronomía UNLPam, 25, 29­-39. https://cerac.unlpam.edu.ar/index.php/semiarida/article/view/2519/2407

Fischer, R. A. 1985. Number of kernels in wheat crops and the influence of solar radiation and temperature. The Journal of Agricultural Science, 105, 447­-461.

Flantua, S. G. A., Hooghiemstra, H., Vuille, M., Behling, H.,Carson, J. F., Gosling, W. D., Hoyos, I., Ledru, M. P., Montoya, E., Mayle, F., Maldonado, A., Rull, V., Tonello, M. S., Whitney, B. S., & González­Arango, C. (2016). Climate variability and human impact in South America during the last 2000 years: synthesis and perspectives from pollen records. Climate of the Past, 12, 483-­523.

Grimm, A. M. (2011). Interannual climate variability in South America: impacts on seasonal precipitation, extreme events, and possible effects of climate change. Stochastic Environmental Research & Risk Assessment, 25, 537­-54.

Heinzenknecht, G. (2011). Impacto de "El Niño" y "La Niña" sobre los rendimientos de los principales cultivos de las provincias de la Región Pampeana. Oficina de Riesgo Agropecuario.

Iizumi, T., Luo, J., Challinor, A. J., Sakurai, G., Yokozawa, M., Sakuma, H., Brown, M. E., & Yamagata, T. (2014). Impacts of El Niño Southern Oscillation on the global yields of major crops. Nature Communicatios. https://www.doi.org/10.1038/ncomms4712.

Kayano, M. T., de Oliveira, C. P., & Andreoli, R. V. (2009). Interannual relations between South American rainfall and tropical sea surface temperature anomalies before and after 1976. International Journal of Climatology, 29, 1439-­1448.

Lovino, M. A., Müller, O. V., Müller, G. V., Sgroi, L. C., & Baethgen, W. E. (2018). Interannual­ to ­multidecadal hydroclimate variability and its sectoral impacts in northeastern Argentina. Hydrology and Earth System Sciences, 22, 3155­-3174.

MAGyP. (2019). Estimaciones agrícolas .http://datosestimaciones.magyp.gob.ar/reportes.php?reporte=Estimaciones.

Nnamchi, H. C., Li, J., & Anyadike, R. N. C. (2011). Does a dipole mode really exist in the South Atlantic Ocean?. Journal of Geophysical Research, 116, D15104.

Nnamchi, H. C., Kucharski, F., Keenlyside, N. S., & Farnet, R. (2017). Analogous seasonal evolution of the South Atlantic SST dipole indices. Atmospheric Science Letters, 18, 396-­402.

NOAA/ESRL. (2019). National Oceanic and Atmospheric Administration. Earth System Research Laboratory. U.S. Department of Commerce. https://www.esrl. noaa.gov/. visitada diciembre 2018.

Pascale, A. J., & Damario, E. A. (2004). Clasificación por tipos agroclimáticos del cultivo de trigo. En A. J. Pascale & E. A. Damario (Eds.), Bioclimatología agrícola y agroclimatología (pp. 418­-436). Facultad de Agronomía. Buenos Aires, Argentina.

Penalba, O. C., & Rivera, J. A. (2016). Precipitation response to El Niño/La Niña events in Southern South America -emphasis in regional drought occurrences. Advances in Geosciences, 42, 1­14.

Pérez, S., Sierra, E., Momo, F., & Massobrio, M. (2015). Changes in average annual precipitation in Argentina’s Pampa Region and their possible causes. Climate, 3, 150­-167.

Podestá, G., Messina, C., Grondona, M., & Magrin, G. (1999). Associations between grain crop yields in Central­ eastern Argentina and El Niño–Southern Oscillation. Journal of Applied Meteorology, 38, 1488­-1498.

Podestá, G., Letson, D., Messina, C., Royce, F., Ferreyra, R. A., Jones, J., Hansen, J., Llovet, I., Grondona, M., & O'Brien, J. J. (2002). Use of ENSO­ related climate information in agricultural decision making in Argentina: a pilot experience. Agricultural Systems, 74, 371­-392.

Pol, M., & Binyamin, J. (2014). Impact of climate change and variability on wheat and corn production in Buenos Aires, Argentina. American Journal of Climate Change, 3, 145-­152.

Ramirez­Rodrigues, M. A., Asseng, S., Fraisse, C., Stefanova, L., & Eisenkolbi, A. (2014). Tailoring wheat management to ENSO phases for increased wheat production in Paraguay. Climate Risk Management, 3, 24-­38.

Romero, P. E., Garbarini, E. M., & González, M. H. (2016). Patrones de temperatura de mar y circulación atmosférica asociados a eventos húmedos y secos en el Comahue. 3° Encuentro de Investigadores en Formación en Recursos Hídricos. https://www.ina.gob.a r/ifrh2016/trabajos/IFRH_2016_paper_9.pdf. 14p.

Seager, R., Naik, N., Baethgen, W., Robertson, A., Kushnir, Y., Nakamura, J., & Jurburg, S. (2010). Tropical oceanic causes of interannual to multidecadal precipitation variability in Southeast South America over the past century. Journal of Climate, 23, 5519­-5539.

Soil Survey Staff. 2014. Claves para la Taxonomía de Suelos. Cap. 12: Molisoles. Dpto. Agric. de USA Serv. Conservación Rec. Nat. (12nd ed.), USDA,

Travasso, M.I., G.O. Magrin & G.R. Rodríguez. (2003). Relations between sea surface temperature and crop yields in Argentina. International Journal of Climatology, 23, 1655­-1662.

Tripaldi, A., Zárate, M. A., Forman, S. L., Badger, T., Doyle M.E., & Ciccioli, P. (2013). Geological evidence for a drought episode in the western Pampas (Argentina, South America) during the early­mid 20th century. The Holocene, 23, 1731-­1746.

Viglizzo, E.F., Ricard, F. M., Jobbágy, E. G., Frank, F. C., & Carreño, L. V. (2011). Assessing the cross­scale impact of 50 years of agricultural transformation in Argentina. Field Crops Research, 124, 186­-194.

Wolter, K., & Timlin, M. S. (1998). Measuring the strength of ENSO ­ how does 1997/98 rank?. Weather, 53, 315­-324.

Yu, J., & Kim, S. T. (2013). Identifying the types of major El Niño events since 1870. International Journal of Climatology, 33, 2105-­2112.

Zadoks, J. C., Chang, T. T., & Konzak, C. F. (1974). A decimal code for the growth stages of cereals. Weed Research, 14, 415­-421.

Published

2020-03-13

Issue

Section

Artículos Científicos y Técnicos