Abstract
Soybean yield is mainly influenced by the interaction among genotype, environmental conditions and management practices. Based on that, the aim of this study was to quantify the soybean yield gap caused by water deficit (YGWD) and sub-optimum crop management (YGCM), considering data from the areas of soybean yield contest in Brazil. Potential (Yp) and attainable (Ya) yields were estimated by a crop yield simulation model, whereas actual farmers yields (Yf) were obtained from the contests conducted by the Brazilian Soybean Strategic Committee (CESB), comprising 200 sites. The YGWD and YGCM were, respectively, calculated by the difference between Yp and Ya, and Ya and Yf. The climate efficiency (EFC) was obtained by the ratio between Ya and Yp, while crop management efficiency (EFM) considered the ratio between Yf and Ya. The mean Yf from CESB was 5021 kg ha−1, higher than the national average of about 3000 kg ha−1. The YGWD and YGCM were, respectively, 2931 and 3458 kg ha−1, representing 46 and 54% of total yield gap. The weather conditions did not affect Yf in the studied sites with lower EFM. For sites with EFC higher than 0.80, Yf increased in a rate of 92 kg ha−1 per percentage of increase in EFM. When comparing the national average and CESB winners, the results showed that average Yf could be increased in 2514 and 2584 kg ha−1, respectively, by closing YGCM and YGWD, which shows that there is room to double the present Brazilian soybean yield by adopting the technology already available to the farmers. These results can serve as reference to guide other studies about soybean yield gap around the world, helping policy makers and other stakeholders to elaborate strategies for closing yield gaps and making soybean production more sustainable.
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References
Allen, G. R., Pereira, L. S., Raes, D. & Smith, M. (1998). Crop evapotranspiration—Guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper 56, p. 300.
Barth, G., Francisco, E., Suyama, J. T., & Garcia, F. (2018). Nutrient uptake for modern, high-yielding soybean. Better Crops, 102, 11–14. https://doi.org/10.24047/BC102111.
Battisti, R. (2016). Calibration, uncertainties and use of soybean crop simulation models for evaluating strategies to mitigate the effects of climate change in Southern Brazil. Thesis (Phd. in Agricultural Engineering Systems)—ESALQ, University of São Paulo, Piracicaba, SP, Brazil. p. 188.
Battisti, R., Parker, P. S., Sentelhas, P. C., & Nendel, C. (2017a). Gauging the sources of uncertainty in soybean yield simulations using the MONICA model. Agricultural Systems, 155, 9–18. https://doi.org/10.1016/j.agsy.2017.04.004.
Battisti, R., & Sentelhas, P. C. (2015). Drought tolerance of Brazilian soybean cultivars simulated by a simple agrometeorological yield model. Experimental Agriculture, 51, 285–298. https://doi.org/10.1017/S0014479714000283.
Battisti, R., & Sentelhas, P. C. (2017). Improvement of soybean resilience to drought through deep root system in Brazil. Agronomy Journal, 109, 1612–1622. https://doi.org/10.2134/agronj2017.01.0023.
Battisti, R., Sentelhas, P. C., & Boote, K. J. (2017b). Inter-comparison of performance of soybean crop simulation models and their ensemble in southern Brazil. Field Crop Research, 200, 28–37. https://doi.org/10.1016/j.fcr.2016.10.004.
Battisti, R., Sentelhas, P. C., Boote, K. J., Câmara, G. M. S., Farias, J. R. B., & Basso, C. J. (2017c). Assessment of soybean yield with altered water-related genetic improvement traits under climate change in Southern Brazil. European Journal of Agronomy, 83, 1–14. https://doi.org/10.1016/j.eja.2016.11.004.
Battisti, R., Sentelhas, P. C., & Pilau, F. G. (2012). Agricultural efficiency of soybean, corn and wheat production in the state of Rio Grande do Sul, Brazil, between 1980 and 2008. Ciência Rural, 42, 24–30. https://doi.org/10.1590/S0103-84782012000100005. (in Portuguese with abstract in English).
Battisti, R., Sentelhas, P. C., Pilau, F. G., & Wollmann, C. A. (2013). Climatic efficiency for soybean and wheat crops in the state of Rio Grande do Sul, Brazil, in different sowing date. Ciência Rural, 43, 390–396. https://doi.org/10.1590/S0103-84782013000300003. (in Portuguese with abstract in English).
CESB. (2017). National challenge of maximum productivity. Brazilian Soybean Strategic Committee. http://www.cesbrasil.org.br/desafio-da-soja/. Accessed June 2017 (in Portuguese).
CONAB. (2017). Survey of Crop Season: Soybean. http://www.conab.gov.br/conteudos.php?a=1253&. Accessed 15 June 17 (in Portuguese).
Del Ponte, E. M., Godoy, C. V., Li, X., & Yang, X. B. (2006). Predicting severity of Asian soybean rust epidemics with empirical rainfall models. Phytopathology, 96, 797–803. https://doi.org/10.1094/PHYTO-96-0797.
Doorenbos, J., & Kassam, A. M. (1979). Yield response to water (p. 300). Rome: FAO. (Irrigation and Drainage Paper, 33).
Edreira, J. I. R., Mourtzinis, S., Conley, S. P., Roth, A. C., Ciampitti, I. A., Licht, M. A., et al. (2017). Assessing causes of yield gaps in agricultural areas with diversity in climate and soils. Agricultural and Forest Meteorology, 247, 170–180. https://doi.org/10.1016/j.agrformet.2017.07.010.
Espe, M. B., Cassman, K. G., Yang, H., Guilpart, N., Grassini, P., Van Wart, J., et al. (2016). Yield gap analysis of US rice production systems shows opportunities for improvement. Field Crop Research, 196, 276–283. https://doi.org/10.1016/j.fcr.2016.07.011.
Franchini, J. C., Debiasi, H., Sacoman, A. & Nepomuceno, A. I. (2009). Soil management for reducing soybean yield losses by drought. Londrina—EMBRAPA Soja. Document 314. p. 39 (in Portuguese).
Hall, A. J., Feoli, C., Ingaramo, J., & Balzarini, M. (2013). Gaps between farmer and attainable yield across sunflower growing regions of Argentina. Field Crop Research, 143, 119–129. https://doi.org/10.1016/j.fcr.2012.05.003.
IBGE (2018). Agricultural production. http://www.sidra.ibge.gov.br/bda/pesquisas/pam. Accessed 12 Feb 2018 (in Portuguese).
Kassam, A. H. (1977). Net biomass production and yield of crops (p. 29). Rome: FAO.
La Menza, N. C., Monzon, J. P., Specht, J. E., & Grassini, P. (2017). Is soybean yield limited by nitrogen supply? Field Crop Research, 213, 204–212. https://doi.org/10.1016/j.fcr.2017.08.009.
Lobell, D. B., Cassman, K. G., & Field, C. B. (2009). Crop yield gaps: Their importance, magnitudes, and causes. Annual Review of Environment and Resources, 34, 179–204. https://doi.org/10.1146/annurev.environ.041008.093740.
Monteiro, L. A., & Sentelhas, P. C. (2014). Calibration and test of an agrometeorological model for the estimation of soybean yields in different Brazilian regions. Acta Scientiarum. Agronomy, 36, 265–272.
Monteiro, L. A., Sentelhas, P. C., & Piedade, S. M. D. S. (2014). Working days for soil management as a function of rainfall and soil moisture in different Brazilian regions. Revista Ambiente & Água, 9, 459–475. https://doi.org/10.4136/ambi-agua.1389.
Novák, V., & Vidovic, J. (2003). Transpiration and nutrient uptake dynamics in maize (Zea mays L.). Ecological Modelling, 166, 99–107. https://doi.org/10.1016/S0304-3800(03)00102-9.
OECD. (2017). Oilseeds and Oilseed Products. In OECD-FAO Agricultural Outlook 2017–2026. Paris: Organization for economic co-operation and development (OECD) Publishing. http://dx.doi.org/10.1787/agr_outlook-2017-8-en.
Rao, N. H., Sarma, P. B. S., & Chander, S. (1988). A simple dated water-production function for use in irrigated agriculture. Agricultural Water Management, 13, 25–32. https://doi.org/10.1016/0378-3774(88)90130-8.
Sentelhas, P. C., Battisti, R., Câmara, G. M. S., Farias, J. R. B., Hampf, A., & Nendel, C. (2015). The soybean yield gap in Brazil-magnitude, causes and possible solutions for a sustainable production. Journal of Agricultural Science, 153, 1394–1411. https://doi.org/10.1017/S0021859615000313.
Sentelhas, P. C., Battisti, R., Sako, H., Zeni, R., & Rodrigues, L. A. (2017). Climate and soybean yield: Climate variability as controlling fator of yield. Mato Grosso Foundation Bulletin, 1, 25–41. (in Portuguese).
Sinclair, T. R., Purcell, L. C., King, C. A., Sneller, C. H., Chen, P., & Vadez, V. (2007). Drought tolerance and yield increase of soybean resulting from improved symbiotic N2 fixation. Field Crops Research, 101, 68–71. 10.1016/j.fcr.2006.09.010.
van Ittersum, M. K., Cassman, K. G., Grassini, P., Wolf, J., Tittonell, P., & Hochman, Z. (2013). Yield gap analysis with local to global relevance—A review. Field Crops Research, 143, 4–17. https://doi.org/10.1016/j.fcr.2012.09.009.
van Roekel, R. J., Purcell, L. C., & Salmerón, M. (2015). Physiological and management factors contributing to soybean potential yield. Field Crop Research, 182, 86–97. https://doi.org/10.1016/j.fcr.2015.05.018.
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Battisti, R., Sentelhas, P.C., Pascoalino, J.A.L. et al. Soybean Yield Gap in the Areas of Yield Contest in Brazil. Int. J. Plant Prod. 12, 159–168 (2018). https://doi.org/10.1007/s42106-018-0016-0
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DOI: https://doi.org/10.1007/s42106-018-0016-0