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    Soil organic carbon and nitrogen pools are increased by mixed grass and legume cover crops in vineyard agroecosystems: Detecting short-term management effects using infrared spectroscopy

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    Name:
    Geoderma_21072020.pdf
    Embargo:
    2022-08-07
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    941.3Kb
    Format:
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    Description:
    Final Accepted Manuscript
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    Author
    Ball, K.R.
    Baldock, J.A.
    Penfold, C.
    Power, S.A.
    Woodin, S.J.
    Smith, P.
    Pendall, E.
    Affiliation
    Univ Arizona, Dept Environm Sci
    Issue Date
    2020-08-07
    Keywords
    Shiraz
    Merlot
    Soil health
    Particulate organic matter
    Mineral-associated organic matter
    Roots
    MIR
    Facilitation
    
    Metadata
    Show full item record
    Publisher
    ELSEVIER
    Citation
    Ball, K. R., Baldock, J. A., Penfold, C., Power, S. A., Woodin, S. J., Smith, P., & Pendall, E. (2020). Soil organic carbon and nitrogen pools are increased by mixed grass and legume cover crops in vineyard agroecosystems: Detecting short-term management effects using infrared spectroscopy. Geoderma, 379, 114619.
    Journal
    GEODERMA
    Rights
    © 2020 Elsevier B.V. All rights reserved.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    The incorporation of cover crops in orchards and vineyards can increase soil organic carbon (OC) and improve nitrogen (N) availability. This study compared how three herbaceous under-vine cover crop assemblages affected OC and N pools in four edaphically distinct vineyard agroecosystems. Using physical fractionation and soil spectral analysis we: 1) compared effects of grass and legume mono- and poly-cultures on total, coarse (>= 50 mu m) and fine (< 50 mu m) pools of OC and total N (TN), as well as extractable N (ExN), and 2) assessed predictions of OC and TN pools by infrared spectroscopy (IRS) and partial least squares regression analyses (PLSR). Compared with the control treatment, total, coarse and fine fraction OC were greater in the presence of grasses and legumes; ExN was increased 38% by legumes, and 78% in legume-grass mixture. With initial calibration, we used one soil spectral analysis to successfully derive models predicting contents of OC in the whole soil, and the allocation of OC to coarse and fine fractions. In addition to demonstrating the efficacy of incorporating grass and legume cover crops into vineyard cropping systems to improve OC and the storage and availability of N across diverse soil types, this study confirms the ability of IRS/PLSR to predict changes in OC concentrations related to differential ground cover management. IRS/PLSR is an important and practical approach for the rapid quantification of short-term management impacts on SOM pools, contributing significantly towards improved under- standing of soil C and N dynamics in vineyard agroecosystems.
    Note
    24 month embargo; published 7 August 2020
    ISSN
    0016-7061
    DOI
    10.1016/j.geoderma.2020.114619
    Version
    Final accepted manuscript
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.geoderma.2020.114619
    Scopus Count
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    UA Faculty Publications

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