Envirotyping: characterizing crop growing environment using soil, weather and management data

Crop genotypes interact with their environment, which is influenced by soil type and weather, and are affected by the management systems used for their cultivation. To understand why a crop has performed in a particular way and to allow comparison of this performance across multiple locations, it is necessary to characterize the growing environment. Envirotyping can show how environmental factors affect plant growth and development. Recording weather conditions, soil parameters and management practices is crucial to accurately characterise the crop growing environment. This information can further be used in crop models to estimate aspects of crop performance that are more difficult to measure, such as crop water use (IRRIGUIDE, ADAS) and nitrogen uptake (CHN, ARVALIS).

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-04
DOI
https://doi.org/10.5281/zenodo.13683214
Primary Topic
Climate change impacts on agriculture
Type
article
Field-Weighted Citation Impact
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article

Envirotyping: characterizing crop growing environment using soil, weather and management data

Zenodo (CERN European Organization for Nuclear Research)
Climate change impacts on agriculture
article

Envirotyping: characterizing crop growing environment using soil, weather and management data

article en

Abstract

Crop genotypes interact with their environment, which is influenced by soil type and weather, and are affected by the management systems used for their cultivation. To understand why a crop has performed in a particular way and to allow comparison of this performance across multiple locations, it is necessary to characterize the growing environment. Envirotyping can show how environmental factors affect plant growth and development. Recording weather conditions, soil parameters and management practices is crucial to accurately characterise the crop growing environment. This information can further be used in crop models to estimate aspects of crop performance that are more difficult to measure, such as crop water use (IRRIGUIDE, ADAS) and nitrogen uptake (CHN, ARVALIS).

Zenodo (CERN European Organization for Nuclear Research)
Agricultural Development Advisory Service (United Kingdom) (GB), Arvalis - Institut du Végétal (FR)
Life in Land
Openalex Percentile: Top 64%
Climate change impacts on agriculture
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