Dryland Winter Wheat Production and Its Relationship to Fine-Scale Soil Carbon Heterogeneity—A Case Study in the US Central High Plains

Soil carbon plays a key role in maintaining soil quality, but its direct impact on crop yields depends on the interplay of different factors. This study aims to study fine–spatial variation soil properties and their effect on grain productivity in fallow–wheat cropping systems in the US central High...

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Main Authors: Paulina B. Ramírez, Francisco J. Calderón, Merle F. Vigil, Kyle R. Mankin, David Poss, Steven J. Fonte
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Agronomy
Subjects:
Online Access:https://www.mdpi.com/2073-4395/13/10/2600
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author Paulina B. Ramírez
Francisco J. Calderón
Merle F. Vigil
Kyle R. Mankin
David Poss
Steven J. Fonte
author_facet Paulina B. Ramírez
Francisco J. Calderón
Merle F. Vigil
Kyle R. Mankin
David Poss
Steven J. Fonte
author_sort Paulina B. Ramírez
collection DOAJ
description Soil carbon plays a key role in maintaining soil quality, but its direct impact on crop yields depends on the interplay of different factors. This study aims to study fine–spatial variation soil properties and their effect on grain productivity in fallow–wheat cropping systems in the US central High Plains. We evaluate wheat yields in relation to soil macro and micronutrients, total C (TC), and texture as well as subtle variations in field elevation. To document soil–yield relationships at a fine spatial scale, soil sampling (0–15 and 15–30 cm depths) was conducted using a regular 30 m grid spacing in eleven adjacent fields. Interpolated yield maps indicated that the availability of key nutrients and textures contributed to the spatial distribution of wheat productivity. Random forest (RF) showed that these soil attributes were able to explain slightly under 30% of the spatial variation in crop yields. Our findings demonstrate that TC can often serve as a reliable proxy for delineating yield-based management zones, even in inherently low C soils. In addition, Fe, Zn, SO<sub>4</sub>-S, sand, and subtle topographic changes were also critical factors affecting wheat yield. Our results highlight that developing management zones in these soils relying exclusively on soil information is not straightforward. However, the high level of within-field spatial variability observed needs to be addressed.
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spelling doaj.art-6c86f259b3ad48538db75d9e3d78a3f42023-11-19T15:22:28ZengMDPI AGAgronomy2073-43952023-10-011310260010.3390/agronomy13102600Dryland Winter Wheat Production and Its Relationship to Fine-Scale Soil Carbon Heterogeneity—A Case Study in the US Central High PlainsPaulina B. Ramírez0Francisco J. Calderón1Merle F. Vigil2Kyle R. Mankin3David Poss4Steven J. Fonte5Columbia Basin Agricultural Research Center, Oregon State University, Pendleton, OR 97801, USAColumbia Basin Agricultural Research Center, Oregon State University, Pendleton, OR 97801, USAUSDA-ARS, Central Plains Resources Management Research Unit, Akron, CO 80720, USAUSDA-ARS, Central Plains Resources Management Research Unit, Akron, CO 80720, USAUSDA-ARS, Central Plains Resources Management Research Unit, Akron, CO 80720, USADepartment Soil and Crop Sciences, Colorado State University, Fort Collins, CO 80523, USASoil carbon plays a key role in maintaining soil quality, but its direct impact on crop yields depends on the interplay of different factors. This study aims to study fine–spatial variation soil properties and their effect on grain productivity in fallow–wheat cropping systems in the US central High Plains. We evaluate wheat yields in relation to soil macro and micronutrients, total C (TC), and texture as well as subtle variations in field elevation. To document soil–yield relationships at a fine spatial scale, soil sampling (0–15 and 15–30 cm depths) was conducted using a regular 30 m grid spacing in eleven adjacent fields. Interpolated yield maps indicated that the availability of key nutrients and textures contributed to the spatial distribution of wheat productivity. Random forest (RF) showed that these soil attributes were able to explain slightly under 30% of the spatial variation in crop yields. Our findings demonstrate that TC can often serve as a reliable proxy for delineating yield-based management zones, even in inherently low C soils. In addition, Fe, Zn, SO<sub>4</sub>-S, sand, and subtle topographic changes were also critical factors affecting wheat yield. Our results highlight that developing management zones in these soils relying exclusively on soil information is not straightforward. However, the high level of within-field spatial variability observed needs to be addressed.https://www.mdpi.com/2073-4395/13/10/2600dryland systemsgrain yielddecision makingorganic matterprecision agriculturesoil heterogeneity
spellingShingle Paulina B. Ramírez
Francisco J. Calderón
Merle F. Vigil
Kyle R. Mankin
David Poss
Steven J. Fonte
Dryland Winter Wheat Production and Its Relationship to Fine-Scale Soil Carbon Heterogeneity—A Case Study in the US Central High Plains
Agronomy
dryland systems
grain yield
decision making
organic matter
precision agriculture
soil heterogeneity
title Dryland Winter Wheat Production and Its Relationship to Fine-Scale Soil Carbon Heterogeneity—A Case Study in the US Central High Plains
title_full Dryland Winter Wheat Production and Its Relationship to Fine-Scale Soil Carbon Heterogeneity—A Case Study in the US Central High Plains
title_fullStr Dryland Winter Wheat Production and Its Relationship to Fine-Scale Soil Carbon Heterogeneity—A Case Study in the US Central High Plains
title_full_unstemmed Dryland Winter Wheat Production and Its Relationship to Fine-Scale Soil Carbon Heterogeneity—A Case Study in the US Central High Plains
title_short Dryland Winter Wheat Production and Its Relationship to Fine-Scale Soil Carbon Heterogeneity—A Case Study in the US Central High Plains
title_sort dryland winter wheat production and its relationship to fine scale soil carbon heterogeneity a case study in the us central high plains
topic dryland systems
grain yield
decision making
organic matter
precision agriculture
soil heterogeneity
url https://www.mdpi.com/2073-4395/13/10/2600
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