Soil quality indices based on long‐term conservation cropping systems management

Abstract The Soil Management Assessment Framework (SMAF) may provide insight into how conservation practices affect soil quality (SQ) regionally. Therefore, we aimed to quantify SQ in a long‐term (15‐yr) crop rotation and bio‐covers experiment under no‐tillage using SMAF. Main effects were cropping...

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Main Authors: Helen C. S. Amorim, Amanda J. Ashworth, Brian J. Wienhold, Mary C. Savin, Fred L. Allen, Arnold M. Saxton, Phillip R. Owens, Nilton Curi
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Agrosystems, Geosciences & Environment
Online Access:https://doi.org/10.1002/agg2.20036
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spelling doaj-ed0185ecc3c24b9c9d68501a92fac83a2021-02-19T11:21:43ZengWileyAgrosystems, Geosciences & Environment2639-66962020-01-0131n/an/a10.1002/agg2.20036Soil quality indices based on long‐term conservation cropping systems managementHelen C. S. Amorim0Amanda J. Ashworth1Brian J. Wienhold2Mary C. Savin3Fred L. Allen4Arnold M. Saxton5Phillip R. Owens6Nilton Curi7USDA‐ARS, Poultry Production and Product Safety Research Unit Univ. of Arkansas O‐303 Poultry Science Center Fayetteville AR 72701 USAUSDA‐ARS, Poultry Production and Product Safety Research Unit Univ. of Arkansas O‐303 Poultry Science Center Fayetteville AR 72701 USAUSDA‐ARS, Agroecosystem Management Research Unit Univ. of Nebraska 251 Filley Hall, East Campus Lincoln NE 68583 USACrop, Soil, and Environmental Sciences Univ. of Arkansas 115 Plant Sciences Building Fayetteville AR 72701 USAPlant Sciences Univ. of Tennessee 2431 Joe Johnson Dr., 252 Ellington Plant Science Bldg. Knoxville TN 37996 USAAnimal Science Department Univ. of Tennessee 2506 River Dr., 232 Brehm Animal Science Bldg. Knoxville TN 37996 USADale Bumpers Small Farms Research Center USDA‐ARS 6883 South Highway 23 Booneville AR 72927 USASoil Science Universidade Federal de Lavras 1001 Av. Doutor Silvio Menicucci Lavras MG 37200‐000 BrazilAbstract The Soil Management Assessment Framework (SMAF) may provide insight into how conservation practices affect soil quality (SQ) regionally. Therefore, we aimed to quantify SQ in a long‐term (15‐yr) crop rotation and bio‐covers experiment under no‐tillage using SMAF. Main effects were cropping rotations of soybean [Glycine max (L.) Merr.], corn (Zea mays L.), and cotton (Gossypium hirsutum L.). Split‐block bio‐cover treatments consisted of winter wheat (Triticum aestivum L.), Austrian winter pea (Pisum sativum L. sativum var. arvense), hairy vetch (Vicia villosa Roth), poultry litter, and fallow (control). Seven SQ indicators—soil pH, total organic carbon (TOC), bulk density (BD), soil extractable P and K, electrical conductivity (EC), and sodium adsorption ration (SAR)—were scored using SMAF algorithms, and investigated individually and as an overall soil quality index (SQI). Simple linear regressions were performed between SQI and crop yields. Differences (p < .05) in SQI within rotations varied when analyzed across and by depth. Overall, cotton–corn and/or continuous corn had greater SQI than soybean‐based rotations. Poultry litter had the greatest TOC, pH, K, and BD scores at the 0‐ to 15‐cm soil depth, and the lowest SQI. Reductions in SQI within bio‐covers were linked to P scores. A positive relationship was found between SQI and cotton yield at the 15‐ to 30‐cm soil depth (R2 = .48; p < .05). Investigating SMAF scores individually and separately per depth addresses the effects of long‐term conservation practices on SQ. Overall, SMAF can be used to develop best management practices and nutrient management strategies.https://doi.org/10.1002/agg2.20036
collection DOAJ
language English
format Article
sources DOAJ
author Helen C. S. Amorim
Amanda J. Ashworth
Brian J. Wienhold
Mary C. Savin
Fred L. Allen
Arnold M. Saxton
Phillip R. Owens
Nilton Curi
spellingShingle Helen C. S. Amorim
Amanda J. Ashworth
Brian J. Wienhold
Mary C. Savin
Fred L. Allen
Arnold M. Saxton
Phillip R. Owens
Nilton Curi
Soil quality indices based on long‐term conservation cropping systems management
Agrosystems, Geosciences & Environment
author_facet Helen C. S. Amorim
Amanda J. Ashworth
Brian J. Wienhold
Mary C. Savin
Fred L. Allen
Arnold M. Saxton
Phillip R. Owens
Nilton Curi
author_sort Helen C. S. Amorim
title Soil quality indices based on long‐term conservation cropping systems management
title_short Soil quality indices based on long‐term conservation cropping systems management
title_full Soil quality indices based on long‐term conservation cropping systems management
title_fullStr Soil quality indices based on long‐term conservation cropping systems management
title_full_unstemmed Soil quality indices based on long‐term conservation cropping systems management
title_sort soil quality indices based on long‐term conservation cropping systems management
publisher Wiley
series Agrosystems, Geosciences & Environment
issn 2639-6696
publishDate 2020-01-01
description Abstract The Soil Management Assessment Framework (SMAF) may provide insight into how conservation practices affect soil quality (SQ) regionally. Therefore, we aimed to quantify SQ in a long‐term (15‐yr) crop rotation and bio‐covers experiment under no‐tillage using SMAF. Main effects were cropping rotations of soybean [Glycine max (L.) Merr.], corn (Zea mays L.), and cotton (Gossypium hirsutum L.). Split‐block bio‐cover treatments consisted of winter wheat (Triticum aestivum L.), Austrian winter pea (Pisum sativum L. sativum var. arvense), hairy vetch (Vicia villosa Roth), poultry litter, and fallow (control). Seven SQ indicators—soil pH, total organic carbon (TOC), bulk density (BD), soil extractable P and K, electrical conductivity (EC), and sodium adsorption ration (SAR)—were scored using SMAF algorithms, and investigated individually and as an overall soil quality index (SQI). Simple linear regressions were performed between SQI and crop yields. Differences (p < .05) in SQI within rotations varied when analyzed across and by depth. Overall, cotton–corn and/or continuous corn had greater SQI than soybean‐based rotations. Poultry litter had the greatest TOC, pH, K, and BD scores at the 0‐ to 15‐cm soil depth, and the lowest SQI. Reductions in SQI within bio‐covers were linked to P scores. A positive relationship was found between SQI and cotton yield at the 15‐ to 30‐cm soil depth (R2 = .48; p < .05). Investigating SMAF scores individually and separately per depth addresses the effects of long‐term conservation practices on SQ. Overall, SMAF can be used to develop best management practices and nutrient management strategies.
url https://doi.org/10.1002/agg2.20036
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