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Assessing the potato yield gap in the Peruvian Central Andes

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  • Grados, D.
  • García, S.
  • Schrevens, E.

Abstract

The Peruvian Central Andes is a highly important area for potato production. Assessing the potato yield gap and the potential yield is an essential step towards sustainable crop intensification. Fifty-eight smallholder potato farmer's plots in total were monitored at field level during the 2005–2008 and 2010–2015 rainy cropping seasons. All the main crop management inputs were registered. Three field experiments (on-farm trials) established during the 2014–2017 rainy cropping seasons were used to calibrate (2014–2016) and validate (2016–2017) the SUBSTOR-potato model under potential conditions. Potential potato yield (Yp) was estimated for each individual field pilot plot (in kg ha−1) based on the calibrated and validated crop model. Yield gaps (Yg) were calculated as the difference between Yp and farmers' actual yield (Ya). A classification tree-based model predicting the potato gap quantiles was used to elucidate the main biophysical and crop management components inducing Yg.

Suggested Citation

  • Grados, D. & García, S. & Schrevens, E., 2020. "Assessing the potato yield gap in the Peruvian Central Andes," Agricultural Systems, Elsevier, vol. 181(C).
  • Handle: RePEc:eee:agisys:v:181:y:2020:i:c:s0308521x1930575x
    DOI: 10.1016/j.agsy.2020.102817
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    1. You, Liangzhi & Wood, Stanley & Wood-Sichra, Ulrike & Wu, Wenbin, 2014. "Generating global crop distribution maps: From census to grid," Agricultural Systems, Elsevier, vol. 127(C), pages 53-60.
    2. Douglas Gollin & David Lagakos & Michael E. Waugh, 2014. "Agricultural Productivity Differences across Countries," American Economic Review, American Economic Association, vol. 104(5), pages 165-170, May.
    3. Nolte, Kerstin & Ostermeier, Martin, 2017. "Labour Market Effects of Large-Scale Agricultural Investment: Conceptual Considerations and Estimated Employment Effects," World Development, Elsevier, vol. 98(C), pages 430-446.
    4. White, Douglas S. & Labarta, Ricardo A. & Leguia, Efrain J., 2005. "Technology adoption by resource-poor farmers: considering the implications of peak-season labor costs," Agricultural Systems, Elsevier, vol. 85(2), pages 183-201, August.
    5. van Dijk, Michiel & Morley, Tom & Jongeneel, Roel & van Ittersum, Martin & Reidsma, Pytrik & Ruben, Ruerd, 2017. "Disentangling agronomic and economic yield gaps: An integrated framework and application," Agricultural Systems, Elsevier, vol. 154(C), pages 90-99.
    6. Ozkan, Burhan & Akcaoz, Handan & Fert, Cemal, 2004. "Energy input–output analysis in Turkish agriculture," Renewable Energy, Elsevier, vol. 29(1), pages 39-51.
    7. Escobal, Javier A. & Cavero, Denice, 2012. "Transaction Costs, Institutional Arrangements and Inequality Outcomes: Potato Marketing by Small Producers in Rural Peru," World Development, Elsevier, vol. 40(2), pages 329-341.
    8. Silva, João Vasco & Reidsma, Pytrik & van Ittersum, Martin K., 2017. "Yield gaps in Dutch arable farming systems: Analysis at crop and crop rotation level," Agricultural Systems, Elsevier, vol. 158(C), pages 78-92.
    9. Yang, J.M. & Yang, J.Y. & Liu, S. & Hoogenboom, G., 2014. "An evaluation of the statistical methods for testing the performance of crop models with observed data," Agricultural Systems, Elsevier, vol. 127(C), pages 81-89.
    10. Arora, V.K. & Nath, J.C. & Singh, C.B., 2013. "Analyzing potato response to irrigation and nitrogen regimes in a sub-tropical environment using SUBSTOR-Potato model," Agricultural Water Management, Elsevier, vol. 124(C), pages 69-76.
    11. Stastná, M. & Toman, F. & Dufková, J., 2010. "Usage of SUBSTOR model in potato yield prediction," Agricultural Water Management, Elsevier, vol. 97(2), pages 286-290, February.
    12. David Lagakos & Michael E. Waugh, 2013. "Selection, Agriculture, and Cross-Country Productivity Differences," American Economic Review, American Economic Association, vol. 103(2), pages 948-980, April.
    13. Nathaniel D. Mueller & James S. Gerber & Matt Johnston & Deepak K. Ray & Navin Ramankutty & Jonathan A. Foley, 2012. "Closing yield gaps through nutrient and water management," Nature, Nature, vol. 490(7419), pages 254-257, October.
    14. Kleinwechter, Ulrich & Gastelo, Manuel & Ritchie, Joe & Nelson, Gerald & Asseng, Senthold, 2016. "Simulating cultivar variations in potato yields for contrasting environments," Agricultural Systems, Elsevier, vol. 145(C), pages 51-63.
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