Analyzing the effects of climate variability on spatial pattern of yield in a maize-wheat-soybean rotation

Bruno Basso, Matteo Bertocco, Luigi Sartori, Edward C Martin

Research output: Contribution to journalArticle

68 Citations (Scopus)

Abstract

The identification of homogeneous management zones within a field is crucial for variable rate application of agronomic inputs. This study proposed a methodology to identify homogeneous management zones within a 8 ha field, based on the stability of measured and simulated yield patterns in a maize-soybean-wheat crop rotation in north-east Italy. Crop growth and yield were simulated over a 14-year period (1989-2002) using CERES-Maize, CROPGRO-Soybean and CERES-Wheat models to account for weather effects on yield spatial patterns. The overlay of long-term assessments of yield spatial and temporal data allowed for the identification of two stable zones with different yield levels, one with greater yield (called HS for high and stable yield) and one with lower yield (called LS for low and stable yield). The size of the HS zone identified using 14 years of simulated yield was smaller than the one obtained when considering only yield monitor data taken during the 5-year crop rotation. The LS zone was larger when using simulated data, confirming that the consistency of temporal stability increased by increasing the years considered. The models were able to closely simulate yield across the field when site-specific inputs were used, showing potential for use in yield map interpretation in the context of precision agriculture. Results showed that a combination of GIS tools and crop growth simulation models can be used to identify temporally stable zones, which is a fundamental prerequisite for adopting variable rate technologies.

Original languageEnglish (US)
Pages (from-to)82-91
Number of pages10
JournalEuropean Journal of Agronomy
Volume26
Issue number2
DOIs
StatePublished - Feb 2007

Fingerprint

soybean
wheat
maize
soybeans
climate
corn
crop rotation
effect
variable rate application
precision agriculture
crop
crops
growth models
simulation models
weather
Italy
GIS
methodology
monitoring

Keywords

  • Crop simulation model
  • Maize
  • Management zones
  • Soybean
  • Wheat
  • Yield spatial variability
  • Yield temporal stability

ASJC Scopus subject areas

  • Agronomy and Crop Science

Cite this

Analyzing the effects of climate variability on spatial pattern of yield in a maize-wheat-soybean rotation. / Basso, Bruno; Bertocco, Matteo; Sartori, Luigi; Martin, Edward C.

In: European Journal of Agronomy, Vol. 26, No. 2, 02.2007, p. 82-91.

Research output: Contribution to journalArticle

@article{bee91e4cada24705ae7e2996868e0dd6,
title = "Analyzing the effects of climate variability on spatial pattern of yield in a maize-wheat-soybean rotation",
abstract = "The identification of homogeneous management zones within a field is crucial for variable rate application of agronomic inputs. This study proposed a methodology to identify homogeneous management zones within a 8 ha field, based on the stability of measured and simulated yield patterns in a maize-soybean-wheat crop rotation in north-east Italy. Crop growth and yield were simulated over a 14-year period (1989-2002) using CERES-Maize, CROPGRO-Soybean and CERES-Wheat models to account for weather effects on yield spatial patterns. The overlay of long-term assessments of yield spatial and temporal data allowed for the identification of two stable zones with different yield levels, one with greater yield (called HS for high and stable yield) and one with lower yield (called LS for low and stable yield). The size of the HS zone identified using 14 years of simulated yield was smaller than the one obtained when considering only yield monitor data taken during the 5-year crop rotation. The LS zone was larger when using simulated data, confirming that the consistency of temporal stability increased by increasing the years considered. The models were able to closely simulate yield across the field when site-specific inputs were used, showing potential for use in yield map interpretation in the context of precision agriculture. Results showed that a combination of GIS tools and crop growth simulation models can be used to identify temporally stable zones, which is a fundamental prerequisite for adopting variable rate technologies.",
keywords = "Crop simulation model, Maize, Management zones, Soybean, Wheat, Yield spatial variability, Yield temporal stability",
author = "Bruno Basso and Matteo Bertocco and Luigi Sartori and Martin, {Edward C}",
year = "2007",
month = "2",
doi = "10.1016/j.eja.2006.08.008",
language = "English (US)",
volume = "26",
pages = "82--91",
journal = "European Journal of Agronomy",
issn = "1161-0301",
publisher = "Elsevier",
number = "2",

}

TY - JOUR

T1 - Analyzing the effects of climate variability on spatial pattern of yield in a maize-wheat-soybean rotation

AU - Basso, Bruno

AU - Bertocco, Matteo

AU - Sartori, Luigi

AU - Martin, Edward C

PY - 2007/2

Y1 - 2007/2

N2 - The identification of homogeneous management zones within a field is crucial for variable rate application of agronomic inputs. This study proposed a methodology to identify homogeneous management zones within a 8 ha field, based on the stability of measured and simulated yield patterns in a maize-soybean-wheat crop rotation in north-east Italy. Crop growth and yield were simulated over a 14-year period (1989-2002) using CERES-Maize, CROPGRO-Soybean and CERES-Wheat models to account for weather effects on yield spatial patterns. The overlay of long-term assessments of yield spatial and temporal data allowed for the identification of two stable zones with different yield levels, one with greater yield (called HS for high and stable yield) and one with lower yield (called LS for low and stable yield). The size of the HS zone identified using 14 years of simulated yield was smaller than the one obtained when considering only yield monitor data taken during the 5-year crop rotation. The LS zone was larger when using simulated data, confirming that the consistency of temporal stability increased by increasing the years considered. The models were able to closely simulate yield across the field when site-specific inputs were used, showing potential for use in yield map interpretation in the context of precision agriculture. Results showed that a combination of GIS tools and crop growth simulation models can be used to identify temporally stable zones, which is a fundamental prerequisite for adopting variable rate technologies.

AB - The identification of homogeneous management zones within a field is crucial for variable rate application of agronomic inputs. This study proposed a methodology to identify homogeneous management zones within a 8 ha field, based on the stability of measured and simulated yield patterns in a maize-soybean-wheat crop rotation in north-east Italy. Crop growth and yield were simulated over a 14-year period (1989-2002) using CERES-Maize, CROPGRO-Soybean and CERES-Wheat models to account for weather effects on yield spatial patterns. The overlay of long-term assessments of yield spatial and temporal data allowed for the identification of two stable zones with different yield levels, one with greater yield (called HS for high and stable yield) and one with lower yield (called LS for low and stable yield). The size of the HS zone identified using 14 years of simulated yield was smaller than the one obtained when considering only yield monitor data taken during the 5-year crop rotation. The LS zone was larger when using simulated data, confirming that the consistency of temporal stability increased by increasing the years considered. The models were able to closely simulate yield across the field when site-specific inputs were used, showing potential for use in yield map interpretation in the context of precision agriculture. Results showed that a combination of GIS tools and crop growth simulation models can be used to identify temporally stable zones, which is a fundamental prerequisite for adopting variable rate technologies.

KW - Crop simulation model

KW - Maize

KW - Management zones

KW - Soybean

KW - Wheat

KW - Yield spatial variability

KW - Yield temporal stability

UR - http://www.scopus.com/inward/record.url?scp=33846229640&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33846229640&partnerID=8YFLogxK

U2 - 10.1016/j.eja.2006.08.008

DO - 10.1016/j.eja.2006.08.008

M3 - Article

VL - 26

SP - 82

EP - 91

JO - European Journal of Agronomy

JF - European Journal of Agronomy

SN - 1161-0301

IS - 2

ER -