Improving the sustainability of cropping systems via diversified planting in arid irrigation areas View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2022-08-30

AUTHORS

Zhiwen Gou, Wen Yin, Aziiba Emmanuel Asibi, Zhilong Fan, Qiang Chai, Weidong Cao

ABSTRACT

The development of productively viable cropping systems with lower environmental footprints to maintain sustainable agriculture in arid areas is urgently needed. Increasing crop diversity usually improves system productivity; however, the effects of crop diversification on the carbon footprint and the sustainability of a cropping system remain unclear. A 3-year field experiment (2018–2020) was conducted in northwestern China to determine the carbon footprint and productivity of five cropping systems, including spring wheat-common vetch/maize double relay cropping (three crops a year), wheat-maize intercropping (two crops a year) wheat-common vetch multiple cropping (two crops a year), monoculture maize (one crop a year), and monoculture wheat (one crop a year). The grain yield for wheat-common vetch/maize double relay cropping (the former) was higher by 8.7% in 2020 as compared to wheat-maize intercropping (the latter). For the same two cropping systems, the energy yield of the former was higher by 9.5–25.1% over 3 years. The carbon footprints of the former system were respectively 5.3%, 14.3%, 16.4%, and 7.4% lower than that of the latter in terms of unit area, kg grain yield, unit energy yield, and unit of economic output. Four carbon footprints of the former system were lower by 12.2%, 27.9%, 37.6%, and 29.6% compared with monoculture maize. The highest sustainability index was observed for a three crops per year system (0.94), due to higher productivity and a lower carbon footprint. This is the first demonstration that increased diversity via double relay cropping on the same plot annually maintained productivity without increasing the carbon footprint in arid irrigation areas. The results partly confirm the positive effect of diversified cropping systems by integrating multiple cropping green manure into an intercropping system. Adopting a diversified strategy exemplified by spring wheat-common vetch/maize double relay cropping contributes to improvements in sustainable crop production in arid, irrigated areas. More... »

PAGES

88

References to SciGraph publications

  • 2007-06. Sustainable production of barley and wheat by intercropping common vetch in AGRONOMY FOR SUSTAINABLE DEVELOPMENT
  • 2013-07-26. Higher yield and lower carbon emission by intercropping maize with rape, pea, and wheat in arid irrigation areas in AGRONOMY FOR SUSTAINABLE DEVELOPMENT
  • 2021-06-30. Combining crop diversification practices can benefit cereal production in temperate climates in AGRONOMY FOR SUSTAINABLE DEVELOPMENT
  • 2009-12-18. Intercropping green manure crops—effects on rooting patterns in PLANT AND SOIL
  • 2014-10-18. Contribution of greenhouse gas emissions during cropping and fallow seasons on total global warming potential in mono-rice paddy soils in PLANT AND SOIL
  • 2016-11-16. Farming tactics to reduce the carbon footprint of crop cultivation in semiarid areas. A review in AGRONOMY FOR SUSTAINABLE DEVELOPMENT
  • 2012-09-01. Contribution of winter cover crop amendments on global warming potential in rice paddy soil during cultivation in PLANT AND SOIL
  • 2011-03-08. Strategies for reducing the carbon footprint of field crops for semiarid areas. A review in AGRONOMY FOR SUSTAINABLE DEVELOPMENT
  • 2014-11-18. Improving farming practices reduces the carbon footprint of spring wheat production in NATURE COMMUNICATIONS
  • 2008-06. Yield potential and land-use efficiency of wheat and faba bean mixed intercropping in AGRONOMY FOR SUSTAINABLE DEVELOPMENT
  • 2022-05-12. Crop diversification reinforces soil microbiome functions and soil health in PLANT AND SOIL
  • 2020-05-23. Catch crop diversity increases rhizosphere carbon input and soil microbial biomass in BIOLOGY AND FERTILITY OF SOILS
  • 2012-12-28. Optimum application level of winter cover crop biomass as green manure under considering methane emission and rice productivity in paddy soil in BIOLOGY AND FERTILITY OF SOILS
  • 2018-10-02. Socio-technical lock-in hinders crop diversification in France in AGRONOMY FOR SUSTAINABLE DEVELOPMENT
  • 2012-02-15. Carbon footprint of spring barley in relation to preceding oilseeds and N fertilization in THE INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT
  • 2003-01. Using competitive and facilitative interactions in intercropping systems enhances crop productivity and nutrient-use efficiency in PLANT AND SOIL
  • 2018-01-18. Greenhouse gas emissions from soil under maize–soybean intercrop in the North China Plain in NUTRIENT CYCLING IN AGROECOSYSTEMS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s13593-022-00823-2

    DOI

    http://dx.doi.org/10.1007/s13593-022-00823-2

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1150602162


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/07", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Agricultural and Veterinary Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0703", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Crop and Pasture Production", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "College of Agronomy, Gansu Agricultural University, 730070, Lanzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.411734.4", 
              "name": [
                "State Key Laboratory of Aridland Crop Science, 730070, Lanzhou, China", 
                "College of Agronomy, Gansu Agricultural University, 730070, Lanzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gou", 
            "givenName": "Zhiwen", 
            "id": "sg:person.012700625501.64", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012700625501.64"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "College of Agronomy, Gansu Agricultural University, 730070, Lanzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.411734.4", 
              "name": [
                "State Key Laboratory of Aridland Crop Science, 730070, Lanzhou, China", 
                "College of Agronomy, Gansu Agricultural University, 730070, Lanzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yin", 
            "givenName": "Wen", 
            "id": "sg:person.010775312627.59", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010775312627.59"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "College of Agronomy, Gansu Agricultural University, 730070, Lanzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.411734.4", 
              "name": [
                "State Key Laboratory of Aridland Crop Science, 730070, Lanzhou, China", 
                "College of Agronomy, Gansu Agricultural University, 730070, Lanzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Asibi", 
            "givenName": "Aziiba Emmanuel", 
            "id": "sg:person.014220223273.11", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014220223273.11"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "College of Agronomy, Gansu Agricultural University, 730070, Lanzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.411734.4", 
              "name": [
                "State Key Laboratory of Aridland Crop Science, 730070, Lanzhou, China", 
                "College of Agronomy, Gansu Agricultural University, 730070, Lanzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Fan", 
            "givenName": "Zhilong", 
            "id": "sg:person.015374401114.83", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015374401114.83"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "College of Agronomy, Gansu Agricultural University, 730070, Lanzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.411734.4", 
              "name": [
                "State Key Laboratory of Aridland Crop Science, 730070, Lanzhou, China", 
                "College of Agronomy, Gansu Agricultural University, 730070, Lanzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Chai", 
            "givenName": "Qiang", 
            "id": "sg:person.0576423630.87", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0576423630.87"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Key Laboratory of Plant Nutrition and Fertilizer, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, 100081, Beijing, China", 
              "id": "http://www.grid.ac/institutes/grid.410727.7", 
              "name": [
                "Key Laboratory of Plant Nutrition and Fertilizer, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, 100081, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Cao", 
            "givenName": "Weidong", 
            "id": "sg:person.01363154743.70", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01363154743.70"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s11104-009-0248-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052719570", 
              "https://doi.org/10.1007/s11104-009-0248-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11367-012-0383-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034562201", 
              "https://doi.org/10.1007/s11367-012-0383-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13593-021-00703-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1139278596", 
              "https://doi.org/10.1007/s13593-021-00703-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00374-012-0766-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004176415", 
              "https://doi.org/10.1007/s00374-012-0766-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13593-016-0404-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027311899", 
              "https://doi.org/10.1007/s13593-016-0404-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13593-018-0535-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1107362749", 
              "https://doi.org/10.1007/s13593-018-0535-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10705-018-9908-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1100470656", 
              "https://doi.org/10.1007/s10705-018-9908-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11104-012-1403-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024150028", 
              "https://doi.org/10.1007/s11104-012-1403-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1022352229863", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026732423", 
              "https://doi.org/10.1023/a:1022352229863"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13593-011-0011-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018631517", 
              "https://doi.org/10.1007/s13593-011-0011-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1051/agro:2008012", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037951036", 
              "https://doi.org/10.1051/agro:2008012"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13593-013-0161-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028371003", 
              "https://doi.org/10.1007/s13593-013-0161-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms6012", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029390440", 
              "https://doi.org/10.1038/ncomms6012"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00374-020-01475-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1127838239", 
              "https://doi.org/10.1007/s00374-020-01475-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11104-022-05436-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1147829118", 
              "https://doi.org/10.1007/s11104-022-05436-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11104-014-2287-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000055971", 
              "https://doi.org/10.1007/s11104-014-2287-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1051/agro:2006033", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042938013", 
              "https://doi.org/10.1051/agro:2006033"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2022-08-30", 
        "datePublishedReg": "2022-08-30", 
        "description": "The development of productively viable cropping systems with lower environmental footprints to maintain sustainable agriculture in arid areas is urgently needed. Increasing crop diversity usually improves system productivity; however, the effects of crop diversification on the carbon footprint and the sustainability of a cropping system remain unclear. A 3-year field experiment (2018\u20132020) was conducted in northwestern China to determine the carbon footprint and productivity of five cropping systems, including spring wheat-common vetch/maize double relay cropping (three crops a year), wheat-maize intercropping (two crops a year) wheat-common vetch multiple cropping (two crops a year), monoculture maize (one crop a year), and monoculture wheat (one crop a year). The grain yield for wheat-common vetch/maize double relay cropping (the former) was higher by 8.7% in 2020 as compared to wheat-maize intercropping (the latter). For the same two cropping systems, the energy yield of the former was higher by 9.5\u201325.1% over 3 years. The carbon footprints of the former system were respectively 5.3%, 14.3%, 16.4%, and 7.4% lower than that of the latter in terms of unit area, kg grain yield, unit energy yield, and unit of economic output. Four carbon footprints of the former system were lower by 12.2%, 27.9%, 37.6%, and 29.6% compared with monoculture maize. The highest sustainability index was observed for a three crops per year system (0.94), due to higher productivity and a lower carbon footprint. This is the first demonstration that increased diversity via double relay cropping on the same plot annually maintained productivity without increasing the carbon footprint in arid irrigation areas. The results partly confirm the positive effect of diversified cropping systems by integrating multiple cropping green manure into an intercropping system. Adopting a diversified strategy exemplified by spring wheat-common vetch/maize double relay cropping contributes to improvements in sustainable crop production in arid, irrigated areas.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s13593-022-00823-2", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1430196", 
            "issn": [
              "1774-0746", 
              "1773-0155"
            ], 
            "name": "Agronomy for Sustainable Development", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "5", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "42"
          }
        ], 
        "keywords": [
          "arid irrigation areas", 
          "relay cropping", 
          "grain yield", 
          "cropping systems", 
          "monoculture maize", 
          "irrigation area", 
          "carbon footprint", 
          "wheat-maize intercropping", 
          "diversified cropping systems", 
          "sustainable crop production", 
          "highest sustainability index", 
          "crop diversification", 
          "monoculture wheat", 
          "crop diversity", 
          "multiple cropping", 
          "intercropping system", 
          "crop production", 
          "sustainable agriculture", 
          "green manure", 
          "low carbon footprint", 
          "low environmental footprint", 
          "system productivity", 
          "energy yield", 
          "field experiment", 
          "same plots", 
          "cropping", 
          "high productivity", 
          "unit area", 
          "arid areas", 
          "sustainability index", 
          "environmental footprint", 
          "productivity", 
          "year system", 
          "yield", 
          "economic output", 
          "maize", 
          "northwestern China", 
          "sustainability", 
          "positive effect", 
          "footprint", 
          "intercropping", 
          "crops", 
          "wheat", 
          "planting", 
          "manure", 
          "agriculture", 
          "diversity", 
          "arid", 
          "plots", 
          "area", 
          "production", 
          "diversification", 
          "former system", 
          "China", 
          "effect", 
          "experiments", 
          "index", 
          "system", 
          "years", 
          "strategies", 
          "improvement", 
          "development", 
          "output", 
          "contributes", 
          "first demonstration", 
          "results", 
          "terms", 
          "units", 
          "demonstration", 
          "relay"
        ], 
        "name": "Improving the sustainability of cropping systems via diversified planting in arid irrigation areas", 
        "pagination": "88", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1150602162"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s13593-022-00823-2"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s13593-022-00823-2", 
          "https://app.dimensions.ai/details/publication/pub.1150602162"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-12-01T06:44", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_928.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s13593-022-00823-2"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s13593-022-00823-2'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s13593-022-00823-2'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s13593-022-00823-2'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s13593-022-00823-2'


     

    This table displays all metadata directly associated to this object as RDF triples.

    234 TRIPLES      21 PREDICATES      111 URIs      86 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s13593-022-00823-2 schema:about anzsrc-for:07
    2 anzsrc-for:0703
    3 schema:author Nb9675005e2f843b8953e8b9fad7a9d54
    4 schema:citation sg:pub.10.1007/s00374-012-0766-2
    5 sg:pub.10.1007/s00374-020-01475-8
    6 sg:pub.10.1007/s10705-018-9908-8
    7 sg:pub.10.1007/s11104-009-0248-y
    8 sg:pub.10.1007/s11104-012-1403-4
    9 sg:pub.10.1007/s11104-014-2287-2
    10 sg:pub.10.1007/s11104-022-05436-y
    11 sg:pub.10.1007/s11367-012-0383-1
    12 sg:pub.10.1007/s13593-011-0011-7
    13 sg:pub.10.1007/s13593-013-0161-x
    14 sg:pub.10.1007/s13593-016-0404-8
    15 sg:pub.10.1007/s13593-018-0535-1
    16 sg:pub.10.1007/s13593-021-00703-1
    17 sg:pub.10.1023/a:1022352229863
    18 sg:pub.10.1038/ncomms6012
    19 sg:pub.10.1051/agro:2006033
    20 sg:pub.10.1051/agro:2008012
    21 schema:datePublished 2022-08-30
    22 schema:datePublishedReg 2022-08-30
    23 schema:description The development of productively viable cropping systems with lower environmental footprints to maintain sustainable agriculture in arid areas is urgently needed. Increasing crop diversity usually improves system productivity; however, the effects of crop diversification on the carbon footprint and the sustainability of a cropping system remain unclear. A 3-year field experiment (2018–2020) was conducted in northwestern China to determine the carbon footprint and productivity of five cropping systems, including spring wheat-common vetch/maize double relay cropping (three crops a year), wheat-maize intercropping (two crops a year) wheat-common vetch multiple cropping (two crops a year), monoculture maize (one crop a year), and monoculture wheat (one crop a year). The grain yield for wheat-common vetch/maize double relay cropping (the former) was higher by 8.7% in 2020 as compared to wheat-maize intercropping (the latter). For the same two cropping systems, the energy yield of the former was higher by 9.5–25.1% over 3 years. The carbon footprints of the former system were respectively 5.3%, 14.3%, 16.4%, and 7.4% lower than that of the latter in terms of unit area, kg grain yield, unit energy yield, and unit of economic output. Four carbon footprints of the former system were lower by 12.2%, 27.9%, 37.6%, and 29.6% compared with monoculture maize. The highest sustainability index was observed for a three crops per year system (0.94), due to higher productivity and a lower carbon footprint. This is the first demonstration that increased diversity via double relay cropping on the same plot annually maintained productivity without increasing the carbon footprint in arid irrigation areas. The results partly confirm the positive effect of diversified cropping systems by integrating multiple cropping green manure into an intercropping system. Adopting a diversified strategy exemplified by spring wheat-common vetch/maize double relay cropping contributes to improvements in sustainable crop production in arid, irrigated areas.
    24 schema:genre article
    25 schema:isAccessibleForFree false
    26 schema:isPartOf Na4426c8a768a4cbb8f7079968147ab30
    27 Ndda9514cc60546ec96c24a44a77b91ef
    28 sg:journal.1430196
    29 schema:keywords China
    30 agriculture
    31 area
    32 arid
    33 arid areas
    34 arid irrigation areas
    35 carbon footprint
    36 contributes
    37 crop diversification
    38 crop diversity
    39 crop production
    40 cropping
    41 cropping systems
    42 crops
    43 demonstration
    44 development
    45 diversification
    46 diversified cropping systems
    47 diversity
    48 economic output
    49 effect
    50 energy yield
    51 environmental footprint
    52 experiments
    53 field experiment
    54 first demonstration
    55 footprint
    56 former system
    57 grain yield
    58 green manure
    59 high productivity
    60 highest sustainability index
    61 improvement
    62 index
    63 intercropping
    64 intercropping system
    65 irrigation area
    66 low carbon footprint
    67 low environmental footprint
    68 maize
    69 manure
    70 monoculture maize
    71 monoculture wheat
    72 multiple cropping
    73 northwestern China
    74 output
    75 planting
    76 plots
    77 positive effect
    78 production
    79 productivity
    80 relay
    81 relay cropping
    82 results
    83 same plots
    84 strategies
    85 sustainability
    86 sustainability index
    87 sustainable agriculture
    88 sustainable crop production
    89 system
    90 system productivity
    91 terms
    92 unit area
    93 units
    94 wheat
    95 wheat-maize intercropping
    96 year system
    97 years
    98 yield
    99 schema:name Improving the sustainability of cropping systems via diversified planting in arid irrigation areas
    100 schema:pagination 88
    101 schema:productId N025a103b043549f9a8ddae0d3b3c98a0
    102 Nec5b9b58c5a6490eb5be57eed04383f3
    103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1150602162
    104 https://doi.org/10.1007/s13593-022-00823-2
    105 schema:sdDatePublished 2022-12-01T06:44
    106 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    107 schema:sdPublisher Ne9e2f86fb2554923aeb82be68a08cf77
    108 schema:url https://doi.org/10.1007/s13593-022-00823-2
    109 sgo:license sg:explorer/license/
    110 sgo:sdDataset articles
    111 rdf:type schema:ScholarlyArticle
    112 N025a103b043549f9a8ddae0d3b3c98a0 schema:name doi
    113 schema:value 10.1007/s13593-022-00823-2
    114 rdf:type schema:PropertyValue
    115 N02e8fe1af4714e558fad93730e5db9e2 rdf:first sg:person.01363154743.70
    116 rdf:rest rdf:nil
    117 N136c94a0883f41478867e403852363e5 rdf:first sg:person.0576423630.87
    118 rdf:rest N02e8fe1af4714e558fad93730e5db9e2
    119 N4925a323ab7f48eebd995a4c292a705a rdf:first sg:person.010775312627.59
    120 rdf:rest Nd86dc7702f814eda910611ef8b202d97
    121 N7f692272701c40da9dbba9cf5461b04a rdf:first sg:person.015374401114.83
    122 rdf:rest N136c94a0883f41478867e403852363e5
    123 Na4426c8a768a4cbb8f7079968147ab30 schema:volumeNumber 42
    124 rdf:type schema:PublicationVolume
    125 Nb9675005e2f843b8953e8b9fad7a9d54 rdf:first sg:person.012700625501.64
    126 rdf:rest N4925a323ab7f48eebd995a4c292a705a
    127 Nd86dc7702f814eda910611ef8b202d97 rdf:first sg:person.014220223273.11
    128 rdf:rest N7f692272701c40da9dbba9cf5461b04a
    129 Ndda9514cc60546ec96c24a44a77b91ef schema:issueNumber 5
    130 rdf:type schema:PublicationIssue
    131 Ne9e2f86fb2554923aeb82be68a08cf77 schema:name Springer Nature - SN SciGraph project
    132 rdf:type schema:Organization
    133 Nec5b9b58c5a6490eb5be57eed04383f3 schema:name dimensions_id
    134 schema:value pub.1150602162
    135 rdf:type schema:PropertyValue
    136 anzsrc-for:07 schema:inDefinedTermSet anzsrc-for:
    137 schema:name Agricultural and Veterinary Sciences
    138 rdf:type schema:DefinedTerm
    139 anzsrc-for:0703 schema:inDefinedTermSet anzsrc-for:
    140 schema:name Crop and Pasture Production
    141 rdf:type schema:DefinedTerm
    142 sg:journal.1430196 schema:issn 1773-0155
    143 1774-0746
    144 schema:name Agronomy for Sustainable Development
    145 schema:publisher Springer Nature
    146 rdf:type schema:Periodical
    147 sg:person.010775312627.59 schema:affiliation grid-institutes:grid.411734.4
    148 schema:familyName Yin
    149 schema:givenName Wen
    150 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010775312627.59
    151 rdf:type schema:Person
    152 sg:person.012700625501.64 schema:affiliation grid-institutes:grid.411734.4
    153 schema:familyName Gou
    154 schema:givenName Zhiwen
    155 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012700625501.64
    156 rdf:type schema:Person
    157 sg:person.01363154743.70 schema:affiliation grid-institutes:grid.410727.7
    158 schema:familyName Cao
    159 schema:givenName Weidong
    160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01363154743.70
    161 rdf:type schema:Person
    162 sg:person.014220223273.11 schema:affiliation grid-institutes:grid.411734.4
    163 schema:familyName Asibi
    164 schema:givenName Aziiba Emmanuel
    165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014220223273.11
    166 rdf:type schema:Person
    167 sg:person.015374401114.83 schema:affiliation grid-institutes:grid.411734.4
    168 schema:familyName Fan
    169 schema:givenName Zhilong
    170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015374401114.83
    171 rdf:type schema:Person
    172 sg:person.0576423630.87 schema:affiliation grid-institutes:grid.411734.4
    173 schema:familyName Chai
    174 schema:givenName Qiang
    175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0576423630.87
    176 rdf:type schema:Person
    177 sg:pub.10.1007/s00374-012-0766-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004176415
    178 https://doi.org/10.1007/s00374-012-0766-2
    179 rdf:type schema:CreativeWork
    180 sg:pub.10.1007/s00374-020-01475-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1127838239
    181 https://doi.org/10.1007/s00374-020-01475-8
    182 rdf:type schema:CreativeWork
    183 sg:pub.10.1007/s10705-018-9908-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100470656
    184 https://doi.org/10.1007/s10705-018-9908-8
    185 rdf:type schema:CreativeWork
    186 sg:pub.10.1007/s11104-009-0248-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1052719570
    187 https://doi.org/10.1007/s11104-009-0248-y
    188 rdf:type schema:CreativeWork
    189 sg:pub.10.1007/s11104-012-1403-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024150028
    190 https://doi.org/10.1007/s11104-012-1403-4
    191 rdf:type schema:CreativeWork
    192 sg:pub.10.1007/s11104-014-2287-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000055971
    193 https://doi.org/10.1007/s11104-014-2287-2
    194 rdf:type schema:CreativeWork
    195 sg:pub.10.1007/s11104-022-05436-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1147829118
    196 https://doi.org/10.1007/s11104-022-05436-y
    197 rdf:type schema:CreativeWork
    198 sg:pub.10.1007/s11367-012-0383-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034562201
    199 https://doi.org/10.1007/s11367-012-0383-1
    200 rdf:type schema:CreativeWork
    201 sg:pub.10.1007/s13593-011-0011-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018631517
    202 https://doi.org/10.1007/s13593-011-0011-7
    203 rdf:type schema:CreativeWork
    204 sg:pub.10.1007/s13593-013-0161-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1028371003
    205 https://doi.org/10.1007/s13593-013-0161-x
    206 rdf:type schema:CreativeWork
    207 sg:pub.10.1007/s13593-016-0404-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027311899
    208 https://doi.org/10.1007/s13593-016-0404-8
    209 rdf:type schema:CreativeWork
    210 sg:pub.10.1007/s13593-018-0535-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107362749
    211 https://doi.org/10.1007/s13593-018-0535-1
    212 rdf:type schema:CreativeWork
    213 sg:pub.10.1007/s13593-021-00703-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1139278596
    214 https://doi.org/10.1007/s13593-021-00703-1
    215 rdf:type schema:CreativeWork
    216 sg:pub.10.1023/a:1022352229863 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026732423
    217 https://doi.org/10.1023/a:1022352229863
    218 rdf:type schema:CreativeWork
    219 sg:pub.10.1038/ncomms6012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029390440
    220 https://doi.org/10.1038/ncomms6012
    221 rdf:type schema:CreativeWork
    222 sg:pub.10.1051/agro:2006033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042938013
    223 https://doi.org/10.1051/agro:2006033
    224 rdf:type schema:CreativeWork
    225 sg:pub.10.1051/agro:2008012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037951036
    226 https://doi.org/10.1051/agro:2008012
    227 rdf:type schema:CreativeWork
    228 grid-institutes:grid.410727.7 schema:alternateName Key Laboratory of Plant Nutrition and Fertilizer, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, 100081, Beijing, China
    229 schema:name Key Laboratory of Plant Nutrition and Fertilizer, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, 100081, Beijing, China
    230 rdf:type schema:Organization
    231 grid-institutes:grid.411734.4 schema:alternateName College of Agronomy, Gansu Agricultural University, 730070, Lanzhou, China
    232 schema:name College of Agronomy, Gansu Agricultural University, 730070, Lanzhou, China
    233 State Key Laboratory of Aridland Crop Science, 730070, Lanzhou, China
    234 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...