Using a Statistical Crop Model to Predict Maize Yield by the End-Of-Century for the Azuero Region in Panama
In this article, we evaluate the impact of temperature and precipitation at the end of the 21st century (2075–2099) on the yield of maize in the Azuero Region in Panama. Using projected data from an atmospheric climate model, MRI-ACGM 3.2S, the study variables are related to maize yield (t ha<inl...
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MDPI AG
2020-10-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/11/10/1097 |
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| author | Marlemys M. Martínez Tosiyuki Nakaegawa Reinhardt Pinzón Shoji Kusunoki Román Gordón Javier E. Sanchez-Galan |
| author_facet | Marlemys M. Martínez Tosiyuki Nakaegawa Reinhardt Pinzón Shoji Kusunoki Román Gordón Javier E. Sanchez-Galan |
| author_sort | Marlemys M. Martínez |
| collection | DOAJ |
| description | In this article, we evaluate the impact of temperature and precipitation at the end of the 21st century (2075–2099) on the yield of maize in the Azuero Region in Panama. Using projected data from an atmospheric climate model, MRI-ACGM 3.2S, the study variables are related to maize yield (t ha<inline-formula><math display="inline"><semantics><msup><mrow></mrow><mrow><mo>−</mo><mn>1</mn></mrow></msup></semantics></math></inline-formula>) under four different sea surface Temperature (SST) Ensembles (C0, C1, C2, and C3) and in three different planting dates (21 August, 23 September, and 23 October). In terms climate, results confirm the increase in temperatures and precipitation intensity that has been projected for the region at the end of the century. Moreover, differences are found in the average precipitation patterns of each SST-ensemble, which leads to difference in maize yield. SST-Ensembles C0, C1, and C3 predict a doubling of the yield observed from baseline period (1990–2003), while in C1, the yield is reduced around 5%. Yield doubling is attributed to the increase in rainfall, while yield decrease is related to the selection of a later planting date, which is indistinct to the SST-ensembles used for the calculation. Moreover, lower yields are related to years in which El Niño Southerm Oscilation (ENSO) are projected to occur at the end of century. The results are important as they provide a mitigation strategy for maize producers under rainfed model on the Azuero region, which is responsible for over 95% of the production of the country. |
| first_indexed | 2024-03-10T15:38:51Z |
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| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-10T15:38:51Z |
| publishDate | 2020-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-bf7fca9d320047068c0e908d2c37a78d2023-11-20T17:01:08ZengMDPI AGAtmosphere2073-44332020-10-011110109710.3390/atmos11101097Using a Statistical Crop Model to Predict Maize Yield by the End-Of-Century for the Azuero Region in PanamaMarlemys M. Martínez0Tosiyuki Nakaegawa1Reinhardt Pinzón2Shoji Kusunoki3Román Gordón4Javier E. Sanchez-Galan5Facultad de Ciencias y Tecnología, Universidad Tecnológica de Panamá (UTP), P.O. Box 0819-07289 El Dorado, PanamaMeteorological Research Institute, Tsukuba 305-0052, Ibaraki, JapanCentro de Investigaciones Hidráulicas e Hidrotécnicas, Universidad Tecnológica de Panamá (UTP), P.O. Box 0819-07289 El Dorado, PanamaMeteorological Research Institute, Tsukuba 305-0052, Ibaraki, JapanInstituto de Investigación Agropecuaria de Panamá (IDIAP), Estafeta de Los Santos, 0739 Los Santos, PanamaCentro de Estudios Multidisciplinarios de Ingeniería Ciencias y Tecnología (CEMCIT-AIP), P.O. Box 0819-07289 El Dorado, PanamaIn this article, we evaluate the impact of temperature and precipitation at the end of the 21st century (2075–2099) on the yield of maize in the Azuero Region in Panama. Using projected data from an atmospheric climate model, MRI-ACGM 3.2S, the study variables are related to maize yield (t ha<inline-formula><math display="inline"><semantics><msup><mrow></mrow><mrow><mo>−</mo><mn>1</mn></mrow></msup></semantics></math></inline-formula>) under four different sea surface Temperature (SST) Ensembles (C0, C1, C2, and C3) and in three different planting dates (21 August, 23 September, and 23 October). In terms climate, results confirm the increase in temperatures and precipitation intensity that has been projected for the region at the end of the century. Moreover, differences are found in the average precipitation patterns of each SST-ensemble, which leads to difference in maize yield. SST-Ensembles C0, C1, and C3 predict a doubling of the yield observed from baseline period (1990–2003), while in C1, the yield is reduced around 5%. Yield doubling is attributed to the increase in rainfall, while yield decrease is related to the selection of a later planting date, which is indistinct to the SST-ensembles used for the calculation. Moreover, lower yields are related to years in which El Niño Southerm Oscilation (ENSO) are projected to occur at the end of century. The results are important as they provide a mitigation strategy for maize producers under rainfed model on the Azuero region, which is responsible for over 95% of the production of the country.https://www.mdpi.com/2073-4433/11/10/1097Azuerobias correctionclimate predictioncrop yieldGCMmaize |
| spellingShingle | Marlemys M. Martínez Tosiyuki Nakaegawa Reinhardt Pinzón Shoji Kusunoki Román Gordón Javier E. Sanchez-Galan Using a Statistical Crop Model to Predict Maize Yield by the End-Of-Century for the Azuero Region in Panama Atmosphere Azuero bias correction climate prediction crop yield GCM maize |
| title | Using a Statistical Crop Model to Predict Maize Yield by the End-Of-Century for the Azuero Region in Panama |
| title_full | Using a Statistical Crop Model to Predict Maize Yield by the End-Of-Century for the Azuero Region in Panama |
| title_fullStr | Using a Statistical Crop Model to Predict Maize Yield by the End-Of-Century for the Azuero Region in Panama |
| title_full_unstemmed | Using a Statistical Crop Model to Predict Maize Yield by the End-Of-Century for the Azuero Region in Panama |
| title_short | Using a Statistical Crop Model to Predict Maize Yield by the End-Of-Century for the Azuero Region in Panama |
| title_sort | using a statistical crop model to predict maize yield by the end of century for the azuero region in panama |
| topic | Azuero bias correction climate prediction crop yield GCM maize |
| url | https://www.mdpi.com/2073-4433/11/10/1097 |
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