Study of Extreme Precipitations in Corn Culture in Chupaca, Junin – Peru 2009–2019

Betsy L. Argomedo; Ingrid S. Galván; Diego A. Gaspar; Iralmy Y. Platero; Michelle A. Mollehuara

doi:10.1007/978-3-031-26365-1_5

Study of Extreme Precipitations in Corn Culture in Chupaca, Junin – Peru 2009–2019

Betsy L. Argomedo
, Ingrid S. Galván
, Diego A. Gaspar
, Iralmy Y. Platero
, Michelle A. Mollehuara

Faculty of Engineering

Research output: Chapter in Book/Report › Chapter › peer-review

Abstract

Using 11 years of data in Chupaca, Junin region, Peru, we studied the effects of extreme precipitation on the maize crop. For the project, extreme annual precipitation and temperature data were obtained from the Viques and Huayao meteorological stations of the National Meteorological and Hydrological Service of Peru, as well as crop yield and production data. The Spearman correlation method was used to carry out the research. The results indicated that in 2014 there was a higher yield of corn, and in 2011, there was the highest amount of rainfall. We conclude that extreme rainfall does not influence the yield of corn in the period under study.

Original language	American English
Title of host publication	Springer Proceedings in Earth and Environmental Sciences
Publisher	Springer Nature
Pages	53-61
Number of pages	9
DOIs	https://doi.org/10.1007/978-3-031-26365-1_5
State	Indexed - 2023

Publication series

Name	Springer Proceedings in Earth and Environmental Sciences
ISSN (Print)	2524-342X
ISSN (Electronic)	2524-3438

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Crop yield
Precipitation
Temperature

Access to Document

10.1007/978-3-031-26365-1_5

Cite this

Argomedo, B. L., Galván, I. S., Gaspar, D. A., Platero, I. Y., & Mollehuara, M. A. (2023). Study of Extreme Precipitations in Corn Culture in Chupaca, Junin – Peru 2009–2019. In Springer Proceedings in Earth and Environmental Sciences (pp. 53-61). (Springer Proceedings in Earth and Environmental Sciences). Springer Nature. https://doi.org/10.1007/978-3-031-26365-1_5

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abstract = "Using 11 years of data in Chupaca, Junin region, Peru, we studied the effects of extreme precipitation on the maize crop. For the project, extreme annual precipitation and temperature data were obtained from the Viques and Huayao meteorological stations of the National Meteorological and Hydrological Service of Peru, as well as crop yield and production data. The Spearman correlation method was used to carry out the research. The results indicated that in 2014 there was a higher yield of corn, and in 2011, there was the highest amount of rainfall. We conclude that extreme rainfall does not influence the yield of corn in the period under study.",

keywords = "Crop yield, Precipitation, Temperature",

author = "Argomedo, \{Betsy L.\} and Galv{\'a}n, \{Ingrid S.\} and Gaspar, \{Diego A.\} and Platero, \{Iralmy Y.\} and Mollehuara, \{Michelle A.\}",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.",

year = "2023",

doi = "10.1007/978-3-031-26365-1\_5",

language = "American English",

series = "Springer Proceedings in Earth and Environmental Sciences",

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Study of Extreme Precipitations in Corn Culture in Chupaca, Junin – Peru 2009–2019. / Argomedo, Betsy L.; Galván, Ingrid S.; Gaspar, Diego A. et al.
Springer Proceedings in Earth and Environmental Sciences. Springer Nature, 2023. p. 53-61 (Springer Proceedings in Earth and Environmental Sciences).

Research output: Chapter in Book/Report › Chapter › peer-review

TY - CHAP

T1 - Study of Extreme Precipitations in Corn Culture in Chupaca, Junin – Peru 2009–2019

AU - Argomedo, Betsy L.

AU - Galván, Ingrid S.

AU - Gaspar, Diego A.

AU - Platero, Iralmy Y.

AU - Mollehuara, Michelle A.

PY - 2023

Y1 - 2023

N2 - Using 11 years of data in Chupaca, Junin region, Peru, we studied the effects of extreme precipitation on the maize crop. For the project, extreme annual precipitation and temperature data were obtained from the Viques and Huayao meteorological stations of the National Meteorological and Hydrological Service of Peru, as well as crop yield and production data. The Spearman correlation method was used to carry out the research. The results indicated that in 2014 there was a higher yield of corn, and in 2011, there was the highest amount of rainfall. We conclude that extreme rainfall does not influence the yield of corn in the period under study.

AB - Using 11 years of data in Chupaca, Junin region, Peru, we studied the effects of extreme precipitation on the maize crop. For the project, extreme annual precipitation and temperature data were obtained from the Viques and Huayao meteorological stations of the National Meteorological and Hydrological Service of Peru, as well as crop yield and production data. The Spearman correlation method was used to carry out the research. The results indicated that in 2014 there was a higher yield of corn, and in 2011, there was the highest amount of rainfall. We conclude that extreme rainfall does not influence the yield of corn in the period under study.

KW - Crop yield

KW - Precipitation

KW - Temperature

UR - https://www.scopus.com/pages/publications/85153866472

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T3 - Springer Proceedings in Earth and Environmental Sciences

SP - 53

EP - 61

BT - Springer Proceedings in Earth and Environmental Sciences

PB - Springer Nature

ER -

Study of Extreme Precipitations in Corn Culture in Chupaca, Junin – Peru 2009–2019

Abstract

Publication series

Bibliographical note

Keywords

Access to Document

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Cite this