Novel insights into factors associated with yield response and nutrient use efficiency of maize and rice in sub-Saharan Africa. A ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2022-08-22

AUTHORS

Shamie Zingore, Ivan Solomon Adolwa, Samuel Njoroge, Jean-Martial Johnson, Kazuki Saito, Steve Phillips, Job Kihara, James Mutegi, Scott Murell, Sudarshan Dutta, Pauline Chivenge, Kokou A. Amouzou, Thomas Oberthur, Somsubhra Chakraborty, Gudeta Weldesemayat Sileshi

ABSTRACT

A common theme emerging from nutrient omission trials conducted extensively across sub-Saharan Africa has been the large variability in yield response to applied nutrients. Yet, little is known about the factors associated with this variability. Therefore, the objectives of this review were to (1) synthesize the available data from nutrient omission trials of maize and rice and quantify spatial variability in yield responses and the probability of attaining specified yield targets; (2) identify the genotypic, environmental, and nutrient management factors associated with yield responses; and (3) provide insights and actionable information for setting priorities for future nutrient management research and development. Here, we provide distributions and expected values of yield response and agronomic efficiencies of nitrogen (N), phosphorus (P), and potassium (K) to serve as benchmarks for improving fertilizer recommendations. We also show that with the combined application of NPK fertilizer, rain-fed maize and rice yields can be raised from the current yields of ~2 Mg ha−1 to 4 Mg ha−1. Yield responses to N, P, and K were in the ratio of 11:6:1 in maize and 13:7:5 in rice, probably arising from differences in uptake requirements and growing environments. K yield responses were 2–3 times higher in rice than in maize. Explorative analysis using machine learning algorithms provided further insights into the possible interaction of agroecology, soil type, and exchangeable cations on the spatial variability in yield responses to N, P, and K in maize and rice. We recommend future research to address site-specific interactions between the applied and indigenous soil nutrients, focusing on optimizing application rates of K, other macronutrients and micronutrients for sustainable intensification of maize and rice production. This study highlights the critical need for balanced fertilization to optimize the productivity and nutrient use efficiencies in rice and maize production in smallholder farming systems in SSA. More... »

PAGES

82

References to SciGraph publications

  • 2017-07-03. Application of secondary nutrients and micronutrients increases crop yields in sub-Saharan Africa in AGRONOMY FOR SUSTAINABLE DEVELOPMENT
  • 2013-12-17. Distinguishing between yield advances and yield plateaus in historical crop production trends in NATURE COMMUNICATIONS
  • 2019-03-05. Spatial variation of yield response and fertilizer requirements on regional scale for irrigated rice in China in SCIENTIFIC REPORTS
  • 2006-09-28. Within-farm soil fertility gradients affect response of maize to fertiliser application in western Kenya in NUTRIENT CYCLING IN AGROECOSYSTEMS
  • 2001-10. Random Forests in MACHINE LEARNING
  • 2012-12-12. Systematic Comparison of C3 and C4 Plants Based on Metabolic Network Analysis in BMC SYSTEMS BIOLOGY
  • 2008-07-18. Assessment of nutrient deficiencies in maize in nutrient omission trials and long-term field experiments in the West African Savanna in PLANT AND SOIL
  • 2018-05-11. Potassium (K)-to-magnesium (Mg) ratio, its spatial variability and implications to potential Mg-induced K deficiency in Nitisols of Southern Ethiopia in AGRICULTURE & FOOD SECURITY
  • 2015-07-16. Revisiting fertilisers and fertilisation strategies for improved nutrient uptake by plants in BIOLOGY AND FERTILITY OF SOILS
  • 1992. Fertility of Soils, A Future for Farming in the West African Savannah in NONE
  • 2021-08-06. Understanding nutrient imbalances in maize (Zea maysL.) using the diagnosis and recommendation integrated system (DRIS) approach in the Maize belt of Nigeria in SCIENTIFIC REPORTS
  • 2017-03-17. Characteristics of maize cultivars in Africa: How modern are they and how many do smallholder farmers grow? in AGRICULTURE & FOOD SECURITY
  • 2015-08-01. Maize response to macronutrients and potential for profitability in sub-Saharan Africa in NUTRIENT CYCLING IN AGROECOSYSTEMS
  • 2012-12-13. Reconstruction of genome-scale metabolic models for 126 human tissues using mCADRE in BMC SYSTEMS BIOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s13593-022-00821-4

    DOI

    http://dx.doi.org/10.1007/s13593-022-00821-4

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1150403076


    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/2008/05", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Environmental Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "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/2008/0503", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Soil 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": "African Plant Nutrition Institute (APNI), Lot 660 Hay Moulay Rachid, 43150, Bengu\u00e9rir, Morocco", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "African Plant Nutrition Institute (APNI), Lot 660 Hay Moulay Rachid, 43150, Bengu\u00e9rir, Morocco"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zingore", 
            "givenName": "Shamie", 
            "id": "sg:person.014723110065.27", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014723110065.27"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "African Plant Nutrition Institute (APNI), ICIPE Campus, Nairobi, Kenya", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "African Plant Nutrition Institute (APNI), ICIPE Campus, Nairobi, Kenya"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Adolwa", 
            "givenName": "Ivan Solomon", 
            "id": "sg:person.014621341431.76", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014621341431.76"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "African Plant Nutrition Institute (APNI), ICIPE Campus, Nairobi, Kenya", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "African Plant Nutrition Institute (APNI), ICIPE Campus, Nairobi, Kenya"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Njoroge", 
            "givenName": "Samuel", 
            "id": "sg:person.010410360265.72", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010410360265.72"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Africa Rice Center (AfricaRice), 01 B.P. 2551, Bouake 01, C\u00f4te d\u2019Ivoire", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Africa Rice Center (AfricaRice), 01 B.P. 2551, Bouake 01, C\u00f4te d\u2019Ivoire"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Johnson", 
            "givenName": "Jean-Martial", 
            "id": "sg:person.012065514234.83", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012065514234.83"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Africa Rice Center (AfricaRice), 01 B.P. 2551, Bouake 01, C\u00f4te d\u2019Ivoire", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Africa Rice Center (AfricaRice), 01 B.P. 2551, Bouake 01, C\u00f4te d\u2019Ivoire"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Saito", 
            "givenName": "Kazuki", 
            "id": "sg:person.013230575337.72", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013230575337.72"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "African Plant Nutrition Institute (APNI), Lot 660 Hay Moulay Rachid, 43150, Bengu\u00e9rir, Morocco", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "African Plant Nutrition Institute (APNI), Lot 660 Hay Moulay Rachid, 43150, Bengu\u00e9rir, Morocco"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Phillips", 
            "givenName": "Steve", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "International Center for Tropical Agriculture (CIAT), c/o ICIPE Duduville Complex, PO Box 823-00621, Nairobi, Kenya", 
              "id": "http://www.grid.ac/institutes/grid.459613.c", 
              "name": [
                "International Center for Tropical Agriculture (CIAT), c/o ICIPE Duduville Complex, PO Box 823-00621, Nairobi, Kenya"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kihara", 
            "givenName": "Job", 
            "id": "sg:person.015577412351.74", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015577412351.74"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "African Plant Nutrition Institute (APNI), ICIPE Campus, Nairobi, Kenya", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "African Plant Nutrition Institute (APNI), ICIPE Campus, Nairobi, Kenya"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mutegi", 
            "givenName": "James", 
            "id": "sg:person.013635436013.21", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013635436013.21"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "African Plant Nutrition Institute (APNI), Lot 660 Hay Moulay Rachid, 43150, Bengu\u00e9rir, Morocco", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "African Plant Nutrition Institute (APNI), Lot 660 Hay Moulay Rachid, 43150, Bengu\u00e9rir, Morocco"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Murell", 
            "givenName": "Scott", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "African Plant Nutrition Institute (APNI), Lot 660 Hay Moulay Rachid, 43150, Bengu\u00e9rir, Morocco", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "African Plant Nutrition Institute (APNI), Lot 660 Hay Moulay Rachid, 43150, Bengu\u00e9rir, Morocco"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dutta", 
            "givenName": "Sudarshan", 
            "id": "sg:person.013031306711.44", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013031306711.44"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "African Plant Nutrition Institute (APNI), Lot 660 Hay Moulay Rachid, 43150, Bengu\u00e9rir, Morocco", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "African Plant Nutrition Institute (APNI), Lot 660 Hay Moulay Rachid, 43150, Bengu\u00e9rir, Morocco"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Chivenge", 
            "givenName": "Pauline", 
            "id": "sg:person.07701030001.43", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07701030001.43"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "African Plant Nutrition Institute (APNI), Yamoussoukro, C\u00f4te d\u2019Ivoire", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "African Plant Nutrition Institute (APNI), Yamoussoukro, C\u00f4te d\u2019Ivoire"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Amouzou", 
            "givenName": "Kokou A.", 
            "id": "sg:person.011014114547.38", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011014114547.38"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "African Plant Nutrition Institute (APNI), Lot 660 Hay Moulay Rachid, 43150, Bengu\u00e9rir, Morocco", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "African Plant Nutrition Institute (APNI), Lot 660 Hay Moulay Rachid, 43150, Bengu\u00e9rir, Morocco"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Oberthur", 
            "givenName": "Thomas", 
            "id": "sg:person.016072036021.00", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016072036021.00"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Agricultural and Food Engineering Department, IIT Kharagpur, Kolkata, India", 
              "id": "http://www.grid.ac/institutes/grid.429017.9", 
              "name": [
                "Agricultural and Food Engineering Department, IIT Kharagpur, Kolkata, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Chakraborty", 
            "givenName": "Somsubhra", 
            "id": "sg:person.01076663216.37", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01076663216.37"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Pietermaritzburg, South Africa", 
              "id": "http://www.grid.ac/institutes/grid.16463.36", 
              "name": [
                "Department of Plant Biology and Biodiversity Management, Addis Ababa University, Addis Ababa, Ethiopia", 
                "School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Pietermaritzburg, South Africa"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sileshi", 
            "givenName": "Gudeta Weldesemayat", 
            "id": "sg:person.015677322465.21", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015677322465.21"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1186/s40066-017-0108-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084252773", 
              "https://doi.org/10.1186/s40066-017-0108-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40066-018-0165-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1100905746", 
              "https://doi.org/10.1186/s40066-018-0165-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1752-0509-6-153", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016249996", 
              "https://doi.org/10.1186/1752-0509-6-153"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1010933404324", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024739340", 
              "https://doi.org/10.1023/a:1010933404324"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13593-017-0431-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1090336924", 
              "https://doi.org/10.1007/s13593-017-0431-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11104-008-9714-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011411149", 
              "https://doi.org/10.1007/s11104-008-9714-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1752-0509-6-s2-s9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013743059", 
              "https://doi.org/10.1186/1752-0509-6-s2-s9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10705-005-8314-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011273852", 
              "https://doi.org/10.1007/s10705-005-8314-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00374-015-1039-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040448554", 
              "https://doi.org/10.1007/s00374-015-1039-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-019-40367-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1112544115", 
              "https://doi.org/10.1038/s41598-019-40367-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-84320-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018817777", 
              "https://doi.org/10.1007/978-3-642-84320-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms3918", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053113159", 
              "https://doi.org/10.1038/ncomms3918"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-021-95172-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1140236443", 
              "https://doi.org/10.1038/s41598-021-95172-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10705-015-9717-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041842768", 
              "https://doi.org/10.1007/s10705-015-9717-2"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2022-08-22", 
        "datePublishedReg": "2022-08-22", 
        "description": "A common theme emerging from nutrient omission trials conducted extensively across sub-Saharan Africa has been the large variability in yield response to applied nutrients. Yet, little is known about the factors associated with this variability. Therefore, the objectives of this review were to (1) synthesize the available data from nutrient omission trials of maize and rice and quantify spatial variability in yield responses and the probability of attaining specified yield targets; (2) identify the genotypic, environmental, and nutrient management factors associated with yield responses; and (3) provide insights and actionable information for setting priorities for future nutrient management research and development. Here, we provide distributions and expected values of yield response and agronomic efficiencies of nitrogen (N), phosphorus (P), and potassium (K) to serve as benchmarks for improving fertilizer recommendations. We also show that with the combined application of NPK fertilizer, rain-fed maize and rice yields can be raised from the current yields of ~2 Mg ha\u22121 to 4 Mg ha\u22121. Yield responses to N, P, and K were in the ratio of 11:6:1 in maize and 13:7:5 in rice, probably arising from differences in uptake requirements and growing environments. K yield responses were 2\u20133 times higher in rice than in maize. Explorative analysis using machine learning algorithms provided further insights into the possible interaction of agroecology, soil type, and exchangeable cations on the spatial variability in yield responses to N, P, and K in maize and rice. We recommend future research to address site-specific interactions between the applied and indigenous soil nutrients, focusing on optimizing application rates of K, other macronutrients and micronutrients for sustainable intensification of maize and rice production. This study highlights the critical need for balanced fertilization to optimize the productivity and nutrient use efficiencies in rice and maize production in smallholder farming systems in SSA.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s13593-022-00821-4", 
        "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": [
          "nutrient omission trials", 
          "nutrient use efficiency", 
          "yield response", 
          "omission trials", 
          "spatial variability", 
          "use efficiency", 
          "rain-fed maize", 
          "soil nutrients", 
          "soil types", 
          "balanced fertilization", 
          "sustainable intensification", 
          "applied nutrients", 
          "exchangeable cations", 
          "fertilizer recommendations", 
          "application rates", 
          "NPK fertilizer", 
          "management factors", 
          "yield targets", 
          "Saharan Africa", 
          "agronomic efficiency", 
          "rice yield", 
          "maize production", 
          "rice production", 
          "maize", 
          "current yield", 
          "rice", 
          "combined application", 
          "nutrients", 
          "variability", 
          "large variability", 
          "yield", 
          "site-specific interactions", 
          "fertilizer", 
          "agroecology", 
          "critical need", 
          "Africa", 
          "phosphorus", 
          "production", 
          "intensification", 
          "smallholders", 
          "productivity", 
          "nitrogen", 
          "fertilization", 
          "macronutrients", 
          "micronutrients", 
          "available data", 
          "Mg", 
          "management research", 
          "potassium", 
          "priority", 
          "efficiency", 
          "environment", 
          "future research", 
          "distribution", 
          "response", 
          "SSA", 
          "factors", 
          "actionable information", 
          "novel insights", 
          "possible interactions", 
          "insights", 
          "interaction", 
          "objective", 
          "trials", 
          "research", 
          "types", 
          "need", 
          "information", 
          "values", 
          "cations", 
          "differences", 
          "data", 
          "probability", 
          "further insight", 
          "requirements", 
          "recommendations", 
          "rate", 
          "development", 
          "study", 
          "review", 
          "applications", 
          "ratio", 
          "analysis", 
          "system", 
          "common themes", 
          "time", 
          "explorative analysis", 
          "benchmarks", 
          "themes", 
          "target", 
          "machine", 
          "algorithm"
        ], 
        "name": "Novel insights into factors associated with yield response and nutrient use efficiency of maize and rice in sub-Saharan Africa. A review", 
        "pagination": "82", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1150403076"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s13593-022-00821-4"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s13593-022-00821-4", 
          "https://app.dimensions.ai/details/publication/pub.1150403076"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-11-24T21:08", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20221124/entities/gbq_results/article/article_929.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s13593-022-00821-4"
      }
    ]
     

    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/s13593-022-00821-4'

    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/s13593-022-00821-4'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s13593-022-00821-4'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s13593-022-00821-4'


     

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

    325 TRIPLES      21 PREDICATES      132 URIs      108 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s13593-022-00821-4 schema:about anzsrc-for:05
    2 anzsrc-for:0503
    3 anzsrc-for:07
    4 anzsrc-for:0703
    5 schema:author N3885e6bb6ce242faac364f87ccea02f6
    6 schema:citation sg:pub.10.1007/978-3-642-84320-4
    7 sg:pub.10.1007/s00374-015-1039-7
    8 sg:pub.10.1007/s10705-005-8314-1
    9 sg:pub.10.1007/s10705-015-9717-2
    10 sg:pub.10.1007/s11104-008-9714-1
    11 sg:pub.10.1007/s13593-017-0431-0
    12 sg:pub.10.1023/a:1010933404324
    13 sg:pub.10.1038/ncomms3918
    14 sg:pub.10.1038/s41598-019-40367-2
    15 sg:pub.10.1038/s41598-021-95172-7
    16 sg:pub.10.1186/1752-0509-6-153
    17 sg:pub.10.1186/1752-0509-6-s2-s9
    18 sg:pub.10.1186/s40066-017-0108-6
    19 sg:pub.10.1186/s40066-018-0165-5
    20 schema:datePublished 2022-08-22
    21 schema:datePublishedReg 2022-08-22
    22 schema:description A common theme emerging from nutrient omission trials conducted extensively across sub-Saharan Africa has been the large variability in yield response to applied nutrients. Yet, little is known about the factors associated with this variability. Therefore, the objectives of this review were to (1) synthesize the available data from nutrient omission trials of maize and rice and quantify spatial variability in yield responses and the probability of attaining specified yield targets; (2) identify the genotypic, environmental, and nutrient management factors associated with yield responses; and (3) provide insights and actionable information for setting priorities for future nutrient management research and development. Here, we provide distributions and expected values of yield response and agronomic efficiencies of nitrogen (N), phosphorus (P), and potassium (K) to serve as benchmarks for improving fertilizer recommendations. We also show that with the combined application of NPK fertilizer, rain-fed maize and rice yields can be raised from the current yields of ~2 Mg ha−1 to 4 Mg ha−1. Yield responses to N, P, and K were in the ratio of 11:6:1 in maize and 13:7:5 in rice, probably arising from differences in uptake requirements and growing environments. K yield responses were 2–3 times higher in rice than in maize. Explorative analysis using machine learning algorithms provided further insights into the possible interaction of agroecology, soil type, and exchangeable cations on the spatial variability in yield responses to N, P, and K in maize and rice. We recommend future research to address site-specific interactions between the applied and indigenous soil nutrients, focusing on optimizing application rates of K, other macronutrients and micronutrients for sustainable intensification of maize and rice production. This study highlights the critical need for balanced fertilization to optimize the productivity and nutrient use efficiencies in rice and maize production in smallholder farming systems in SSA.
    23 schema:genre article
    24 schema:isAccessibleForFree false
    25 schema:isPartOf N7cf1a5d7ffb04acb8170850f3950a31c
    26 N8c3e1258c62945a798990210e2bd2741
    27 sg:journal.1430196
    28 schema:keywords Africa
    29 Mg
    30 NPK fertilizer
    31 SSA
    32 Saharan Africa
    33 actionable information
    34 agroecology
    35 agronomic efficiency
    36 algorithm
    37 analysis
    38 application rates
    39 applications
    40 applied nutrients
    41 available data
    42 balanced fertilization
    43 benchmarks
    44 cations
    45 combined application
    46 common themes
    47 critical need
    48 current yield
    49 data
    50 development
    51 differences
    52 distribution
    53 efficiency
    54 environment
    55 exchangeable cations
    56 explorative analysis
    57 factors
    58 fertilization
    59 fertilizer
    60 fertilizer recommendations
    61 further insight
    62 future research
    63 information
    64 insights
    65 intensification
    66 interaction
    67 large variability
    68 machine
    69 macronutrients
    70 maize
    71 maize production
    72 management factors
    73 management research
    74 micronutrients
    75 need
    76 nitrogen
    77 novel insights
    78 nutrient omission trials
    79 nutrient use efficiency
    80 nutrients
    81 objective
    82 omission trials
    83 phosphorus
    84 possible interactions
    85 potassium
    86 priority
    87 probability
    88 production
    89 productivity
    90 rain-fed maize
    91 rate
    92 ratio
    93 recommendations
    94 requirements
    95 research
    96 response
    97 review
    98 rice
    99 rice production
    100 rice yield
    101 site-specific interactions
    102 smallholders
    103 soil nutrients
    104 soil types
    105 spatial variability
    106 study
    107 sustainable intensification
    108 system
    109 target
    110 themes
    111 time
    112 trials
    113 types
    114 use efficiency
    115 values
    116 variability
    117 yield
    118 yield response
    119 yield targets
    120 schema:name Novel insights into factors associated with yield response and nutrient use efficiency of maize and rice in sub-Saharan Africa. A review
    121 schema:pagination 82
    122 schema:productId N2cc9b87b88d847319ac4db605b09d943
    123 N4e612169249c49eeba48557a1f775f45
    124 schema:sameAs https://app.dimensions.ai/details/publication/pub.1150403076
    125 https://doi.org/10.1007/s13593-022-00821-4
    126 schema:sdDatePublished 2022-11-24T21:08
    127 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    128 schema:sdPublisher N1109e797371840399f43f65b65787fd7
    129 schema:url https://doi.org/10.1007/s13593-022-00821-4
    130 sgo:license sg:explorer/license/
    131 sgo:sdDataset articles
    132 rdf:type schema:ScholarlyArticle
    133 N04ad857fe34c402bab50020266c552a1 rdf:first N7fc787e773604d52813e6c2374478b32
    134 rdf:rest N99b039c842ca49fbaf9eb98a2bbf2571
    135 N1109e797371840399f43f65b65787fd7 schema:name Springer Nature - SN SciGraph project
    136 rdf:type schema:Organization
    137 N28c3a89347014bc7b27be13728034efa rdf:first sg:person.015677322465.21
    138 rdf:rest rdf:nil
    139 N2cc9b87b88d847319ac4db605b09d943 schema:name doi
    140 schema:value 10.1007/s13593-022-00821-4
    141 rdf:type schema:PropertyValue
    142 N353b0ec00f614448a8d32120e6348039 rdf:first sg:person.07701030001.43
    143 rdf:rest Ne8f2c68739bb4b7cb09451a0c50d5ad9
    144 N3885e6bb6ce242faac364f87ccea02f6 rdf:first sg:person.014723110065.27
    145 rdf:rest N3d5c72290996469db1ff63504bfbb49d
    146 N3d5c72290996469db1ff63504bfbb49d rdf:first sg:person.014621341431.76
    147 rdf:rest N797d01a0e25e4802947a89901158cad1
    148 N453055f1e03546ce859c610509e47ae5 rdf:first N4d94f0f43cd6452b9862961f50eb060f
    149 rdf:rest N5a6cd388968845049d65e1dce7511f83
    150 N483f5bf9a83544a3bd8b7d728a4082b1 rdf:first sg:person.01076663216.37
    151 rdf:rest N28c3a89347014bc7b27be13728034efa
    152 N4d94f0f43cd6452b9862961f50eb060f schema:affiliation grid-institutes:None
    153 schema:familyName Phillips
    154 schema:givenName Steve
    155 rdf:type schema:Person
    156 N4e612169249c49eeba48557a1f775f45 schema:name dimensions_id
    157 schema:value pub.1150403076
    158 rdf:type schema:PropertyValue
    159 N4ed80f3567a14969ad0dc61c54c67b95 rdf:first sg:person.012065514234.83
    160 rdf:rest Nd8422e53cd7c4a2cb53fd0f4aa60688d
    161 N5a6cd388968845049d65e1dce7511f83 rdf:first sg:person.015577412351.74
    162 rdf:rest Naca8d1194262488c9e79ac796c2f8b87
    163 N797d01a0e25e4802947a89901158cad1 rdf:first sg:person.010410360265.72
    164 rdf:rest N4ed80f3567a14969ad0dc61c54c67b95
    165 N7cf1a5d7ffb04acb8170850f3950a31c schema:volumeNumber 42
    166 rdf:type schema:PublicationVolume
    167 N7fc787e773604d52813e6c2374478b32 schema:affiliation grid-institutes:None
    168 schema:familyName Murell
    169 schema:givenName Scott
    170 rdf:type schema:Person
    171 N8c3e1258c62945a798990210e2bd2741 schema:issueNumber 5
    172 rdf:type schema:PublicationIssue
    173 N99b039c842ca49fbaf9eb98a2bbf2571 rdf:first sg:person.013031306711.44
    174 rdf:rest N353b0ec00f614448a8d32120e6348039
    175 Naca8d1194262488c9e79ac796c2f8b87 rdf:first sg:person.013635436013.21
    176 rdf:rest N04ad857fe34c402bab50020266c552a1
    177 Nba050be62f3f4fd8948d7f16c54cda94 rdf:first sg:person.016072036021.00
    178 rdf:rest N483f5bf9a83544a3bd8b7d728a4082b1
    179 Nd8422e53cd7c4a2cb53fd0f4aa60688d rdf:first sg:person.013230575337.72
    180 rdf:rest N453055f1e03546ce859c610509e47ae5
    181 Ne8f2c68739bb4b7cb09451a0c50d5ad9 rdf:first sg:person.011014114547.38
    182 rdf:rest Nba050be62f3f4fd8948d7f16c54cda94
    183 anzsrc-for:05 schema:inDefinedTermSet anzsrc-for:
    184 schema:name Environmental Sciences
    185 rdf:type schema:DefinedTerm
    186 anzsrc-for:0503 schema:inDefinedTermSet anzsrc-for:
    187 schema:name Soil Sciences
    188 rdf:type schema:DefinedTerm
    189 anzsrc-for:07 schema:inDefinedTermSet anzsrc-for:
    190 schema:name Agricultural and Veterinary Sciences
    191 rdf:type schema:DefinedTerm
    192 anzsrc-for:0703 schema:inDefinedTermSet anzsrc-for:
    193 schema:name Crop and Pasture Production
    194 rdf:type schema:DefinedTerm
    195 sg:journal.1430196 schema:issn 1773-0155
    196 1774-0746
    197 schema:name Agronomy for Sustainable Development
    198 schema:publisher Springer Nature
    199 rdf:type schema:Periodical
    200 sg:person.010410360265.72 schema:affiliation grid-institutes:None
    201 schema:familyName Njoroge
    202 schema:givenName Samuel
    203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010410360265.72
    204 rdf:type schema:Person
    205 sg:person.01076663216.37 schema:affiliation grid-institutes:grid.429017.9
    206 schema:familyName Chakraborty
    207 schema:givenName Somsubhra
    208 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01076663216.37
    209 rdf:type schema:Person
    210 sg:person.011014114547.38 schema:affiliation grid-institutes:None
    211 schema:familyName Amouzou
    212 schema:givenName Kokou A.
    213 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011014114547.38
    214 rdf:type schema:Person
    215 sg:person.012065514234.83 schema:affiliation grid-institutes:None
    216 schema:familyName Johnson
    217 schema:givenName Jean-Martial
    218 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012065514234.83
    219 rdf:type schema:Person
    220 sg:person.013031306711.44 schema:affiliation grid-institutes:None
    221 schema:familyName Dutta
    222 schema:givenName Sudarshan
    223 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013031306711.44
    224 rdf:type schema:Person
    225 sg:person.013230575337.72 schema:affiliation grid-institutes:None
    226 schema:familyName Saito
    227 schema:givenName Kazuki
    228 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013230575337.72
    229 rdf:type schema:Person
    230 sg:person.013635436013.21 schema:affiliation grid-institutes:None
    231 schema:familyName Mutegi
    232 schema:givenName James
    233 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013635436013.21
    234 rdf:type schema:Person
    235 sg:person.014621341431.76 schema:affiliation grid-institutes:None
    236 schema:familyName Adolwa
    237 schema:givenName Ivan Solomon
    238 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014621341431.76
    239 rdf:type schema:Person
    240 sg:person.014723110065.27 schema:affiliation grid-institutes:None
    241 schema:familyName Zingore
    242 schema:givenName Shamie
    243 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014723110065.27
    244 rdf:type schema:Person
    245 sg:person.015577412351.74 schema:affiliation grid-institutes:grid.459613.c
    246 schema:familyName Kihara
    247 schema:givenName Job
    248 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015577412351.74
    249 rdf:type schema:Person
    250 sg:person.015677322465.21 schema:affiliation grid-institutes:grid.16463.36
    251 schema:familyName Sileshi
    252 schema:givenName Gudeta Weldesemayat
    253 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015677322465.21
    254 rdf:type schema:Person
    255 sg:person.016072036021.00 schema:affiliation grid-institutes:None
    256 schema:familyName Oberthur
    257 schema:givenName Thomas
    258 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016072036021.00
    259 rdf:type schema:Person
    260 sg:person.07701030001.43 schema:affiliation grid-institutes:None
    261 schema:familyName Chivenge
    262 schema:givenName Pauline
    263 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07701030001.43
    264 rdf:type schema:Person
    265 sg:pub.10.1007/978-3-642-84320-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018817777
    266 https://doi.org/10.1007/978-3-642-84320-4
    267 rdf:type schema:CreativeWork
    268 sg:pub.10.1007/s00374-015-1039-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040448554
    269 https://doi.org/10.1007/s00374-015-1039-7
    270 rdf:type schema:CreativeWork
    271 sg:pub.10.1007/s10705-005-8314-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011273852
    272 https://doi.org/10.1007/s10705-005-8314-1
    273 rdf:type schema:CreativeWork
    274 sg:pub.10.1007/s10705-015-9717-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041842768
    275 https://doi.org/10.1007/s10705-015-9717-2
    276 rdf:type schema:CreativeWork
    277 sg:pub.10.1007/s11104-008-9714-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011411149
    278 https://doi.org/10.1007/s11104-008-9714-1
    279 rdf:type schema:CreativeWork
    280 sg:pub.10.1007/s13593-017-0431-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090336924
    281 https://doi.org/10.1007/s13593-017-0431-0
    282 rdf:type schema:CreativeWork
    283 sg:pub.10.1023/a:1010933404324 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024739340
    284 https://doi.org/10.1023/a:1010933404324
    285 rdf:type schema:CreativeWork
    286 sg:pub.10.1038/ncomms3918 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053113159
    287 https://doi.org/10.1038/ncomms3918
    288 rdf:type schema:CreativeWork
    289 sg:pub.10.1038/s41598-019-40367-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112544115
    290 https://doi.org/10.1038/s41598-019-40367-2
    291 rdf:type schema:CreativeWork
    292 sg:pub.10.1038/s41598-021-95172-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1140236443
    293 https://doi.org/10.1038/s41598-021-95172-7
    294 rdf:type schema:CreativeWork
    295 sg:pub.10.1186/1752-0509-6-153 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016249996
    296 https://doi.org/10.1186/1752-0509-6-153
    297 rdf:type schema:CreativeWork
    298 sg:pub.10.1186/1752-0509-6-s2-s9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013743059
    299 https://doi.org/10.1186/1752-0509-6-s2-s9
    300 rdf:type schema:CreativeWork
    301 sg:pub.10.1186/s40066-017-0108-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084252773
    302 https://doi.org/10.1186/s40066-017-0108-6
    303 rdf:type schema:CreativeWork
    304 sg:pub.10.1186/s40066-018-0165-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100905746
    305 https://doi.org/10.1186/s40066-018-0165-5
    306 rdf:type schema:CreativeWork
    307 grid-institutes:None schema:alternateName Africa Rice Center (AfricaRice), 01 B.P. 2551, Bouake 01, Côte d’Ivoire
    308 African Plant Nutrition Institute (APNI), ICIPE Campus, Nairobi, Kenya
    309 African Plant Nutrition Institute (APNI), Lot 660 Hay Moulay Rachid, 43150, Benguérir, Morocco
    310 African Plant Nutrition Institute (APNI), Yamoussoukro, Côte d’Ivoire
    311 schema:name Africa Rice Center (AfricaRice), 01 B.P. 2551, Bouake 01, Côte d’Ivoire
    312 African Plant Nutrition Institute (APNI), ICIPE Campus, Nairobi, Kenya
    313 African Plant Nutrition Institute (APNI), Lot 660 Hay Moulay Rachid, 43150, Benguérir, Morocco
    314 African Plant Nutrition Institute (APNI), Yamoussoukro, Côte d’Ivoire
    315 rdf:type schema:Organization
    316 grid-institutes:grid.16463.36 schema:alternateName School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Pietermaritzburg, South Africa
    317 schema:name Department of Plant Biology and Biodiversity Management, Addis Ababa University, Addis Ababa, Ethiopia
    318 School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Pietermaritzburg, South Africa
    319 rdf:type schema:Organization
    320 grid-institutes:grid.429017.9 schema:alternateName Agricultural and Food Engineering Department, IIT Kharagpur, Kolkata, India
    321 schema:name Agricultural and Food Engineering Department, IIT Kharagpur, Kolkata, India
    322 rdf:type schema:Organization
    323 grid-institutes:grid.459613.c schema:alternateName International Center for Tropical Agriculture (CIAT), c/o ICIPE Duduville Complex, PO Box 823-00621, Nairobi, Kenya
    324 schema:name International Center for Tropical Agriculture (CIAT), c/o ICIPE Duduville Complex, PO Box 823-00621, Nairobi, Kenya
    325 rdf:type schema:Organization
     




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


    ...