CGSpaceA Repository of Agricultural Research Outputs
    View Item 
    •   CGSpace Home
    • CGIAR 2030 research initiatives (2022-2024)
    • CGIAR Initiative on Fragility to Resilience in Central and West Asia and North Africa
    • View Item
       
    • CGSpace Home
    • CGIAR 2030 research initiatives (2022-2024)
    • CGIAR Initiative on Fragility to Resilience in Central and West Asia and North Africa
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Crop Yields under Climate Variability and No-Tillage System in Dry Areas of Morocco

    Thumbnail
    View/Open
    Journal Article (1000.Kb)
    Authors
    Moussadek, Rachid
    Laghrour, Malika
    Mrabet, Rachid
    Van Ranst, Eric
    Date Issued
    2022-11
    Date Online
    2023-01
    Language
    en
    Type
    Journal Article
    Review status
    Peer Review
    Accessibility
    Open Access
    Usage rights
    CC-BY-4.0
    Metadata
    Show full item record
    Share
    
    Citation
    Rachid Moussadek, Malika Laghrour, Rachid Mrabet, Eric Van Ranst. (1/11/2022). Crop Yields under Climate Variability and No-Tillage System in Dry Areas of Morocco. Ecological Engineering & Environmental Technology, 24 (1).
    Permanent link to cite or share this item: https://hdl.handle.net/10568/127625
    DOI: https://doi.org/10.12912/27197050/155024
    Abstract/Description
    In Morocco, the intensive use of agricultural land coupled with irregular precipitation is a serious threat to the country’s food security. Conservation agriculture especially no-tillage (NT) system has shown an important result in the semi-arid regions of Morocco, but its dissemination to other, more humid, agro-ecological zones (precipita tion > 350 mm) is still low. For this purpose, a field experiment under NT system has been installed since 2004 in the Zaer Plateau (Central Morocco) to study the adaptation of this system to the irregular rainfall compared to a conventional tillage (CT). Yields (grain and biomass) of crops (wheat and lentil) under NT and CT were analyzed and compared over the years of study. The ANOVA test showed that yields over the seven years were significantly different and that both crop yields under NT system were greater than or equal to those under CT system even though lentil is more vulnerable to extreme climate events under CT and NT systems. Unlike NT, yields under CT were significantly correlated with the rainfall amount received during the crop cycle. This indicates the dependence of CT precipitation, whereas NT is more adaptable to the irregularities of the climate in the study area.
    CGIAR Author ORCID iDs
    Rachid Mrabethttps://orcid.org/0000-0003-0311-193X
    Rachid Moussadekhttps://orcid.org/0000-0001-8037-9054
    Dr. Malika Laghrourhttps://orcid.org/0000-0003-4377-5052
    Van Ranst E.https://orcid.org/0000-0002-1698-3684
    CGIAR Action Areas
    Resilient Agrifood Systems
    CGIAR Impact Areas
    Climate adaptation and mitigation; Nutrition, health and food security; Poverty reduction, livelihoods and jobs; Gender equality, youth and social inclusion; Environmental health and biodiversity
    CGIAR Initiatives
    Fragility to Resilience in Central and West Asia and North Africa
    Contributes to SDGs
    SDG 1 - No poverty; SDG 2 - Zero hunger
    AGROVOC Keywords
    wheat; crop yield; morocco; climate variability; no-tillage; dry areas; lentil
    Countries
    Morocco
    Regions
    Northern Africa
    Organizations Affiliated to the Authors
    International Center for Agricultural Research in the Dry Areas; Ghent University; National Institute of Agronomic Research Morocco
    Investors/sponsors
    Partnership for Research and Innovation in the Mediterranean Area; CGIAR Trust Fund
    Collections
    • CGIAR Initiative on Fragility to Resilience in Central and West Asia and North Africa [162]

    Show Statistical Information


    AboutPrivacy StatementSend Feedback
     

    My Account

    LoginRegister

    Browse

    All of CGSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesBy AGROVOC keywordBy ILRI subjectBy RegionBy CountryBy SubregionBy River basinBy Output typeBy CIP subjectBy CGIAR System subjectBy Alliance Bioversity–CIAT subjectThis CollectionBy Issue DateAuthorsTitlesBy AGROVOC keywordBy ILRI subjectBy RegionBy CountryBy SubregionBy River basinBy Output typeBy CIP subjectBy CGIAR System subjectBy Alliance Bioversity–CIAT subject

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    AboutPrivacy StatementSend Feedback