Relevance of soil fertility spatial databases for parameterizing APSIM-wheat crop model in Moroccan rainfed areas View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2022-08-22

AUTHORS

Achraf Mamassi, Hélène Marrou, Mohamed El Gharous, Joost Wellens, Fatima-Ezzahra Jabbour, Youssef Zeroual, Abdellah Hamma, Bernard Tychon

ABSTRACT

Crop models have evolved over the past decade to incorporate more soil-related processes. While this may open avenues to support farmers regarding fertilization practices, it also widens the pitfalls related to model parametrization. Open-access georeferenced soil databases are often a solution for modelers to derive soil parameters. However, they can potentially add to model uncertainty depending on database resolution and the variability of the characteristics it contains. Fertimap is an online spatial database recently released in Morocco. In this study, we aim at assessing how Fertimap could support the use of crop model in the rainfed wheat production areas of Morocco. Data including local soil analysis, farmers’ practices, wheat biomass, and yield were collected on 126 farmers’ fields distributed across the rainfed wheat production area in Morocco from 2018 to 2020. Data were first used to parameterize, calibrate, and assess the model, using site-specific data to infer soil parameters. Then, the impact of soil data source on model uncertainty was assessed by rerunning the simulations while using alternatively locally measured soil inputs or inputs extracted from Fertimap. To disentangle the effect of data source from model sensitivity on model outputs, the model’s sensitivity to labile phosphorus, pH, and organic carbon parameters was also tested. The APSIM-wheat model was found to reasonably simulate wheat phenological stages, biomass, and yield. The comparison of model outputs using one or another source of soil data indicated that using Fertimap had no significant effect on the model’s outputs. This study provides the first assessment of the APSIM-wheat model for simulation of widely used wheat cultivars in Moroccan rainfed areas. It is also the first proof of the practical utility of Fertimap database for modeling purposes in Morocco. This preliminary study delivers a robust basis for model-assisted agricultural advising to take off in Morocco. More... »

PAGES

83

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s13593-022-00813-4

DOI

http://dx.doi.org/10.1007/s13593-022-00813-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1150403075


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": "Agricultural Innovation and Technology Transfer Centre - AgroBioSciences, Mohammed VI Polytechnic University, Benguerir, Morocco", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Spheres Research Unit, University of Li\u00e8ge, Arlon, Belgium", 
            "Agricultural Innovation and Technology Transfer Centre - AgroBioSciences, Mohammed VI Polytechnic University, Benguerir, Morocco"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mamassi", 
        "givenName": "Achraf", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "UMR AGAP Institut, L\u2019Institut Agro, Montpellier University, Montpellier, France", 
          "id": "http://www.grid.ac/institutes/grid.121334.6", 
          "name": [
            "UMR AGAP Institut, L\u2019Institut Agro, Montpellier University, Montpellier, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Marrou", 
        "givenName": "H\u00e9l\u00e8ne", 
        "id": "sg:person.01072053161.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01072053161.26"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Agricultural Innovation and Technology Transfer Centre - AgroBioSciences, Mohammed VI Polytechnic University, Benguerir, Morocco", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Agricultural Innovation and Technology Transfer Centre - AgroBioSciences, Mohammed VI Polytechnic University, Benguerir, Morocco"
          ], 
          "type": "Organization"
        }, 
        "familyName": "El Gharous", 
        "givenName": "Mohamed", 
        "id": "sg:person.07346730527.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07346730527.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Spheres Research Unit, University of Li\u00e8ge, Arlon, Belgium", 
          "id": "http://www.grid.ac/institutes/grid.4861.b", 
          "name": [
            "Spheres Research Unit, University of Li\u00e8ge, Arlon, Belgium"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wellens", 
        "givenName": "Joost", 
        "id": "sg:person.010076653675.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010076653675.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Agricultural Innovation and Technology Transfer Centre - AgroBioSciences, Mohammed VI Polytechnic University, Benguerir, Morocco", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Agricultural Innovation and Technology Transfer Centre - AgroBioSciences, Mohammed VI Polytechnic University, Benguerir, Morocco"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jabbour", 
        "givenName": "Fatima-Ezzahra", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Research and Development, OCP Group, Casablanca, Morocco", 
          "id": "http://www.grid.ac/institutes/grid.460966.b", 
          "name": [
            "Research and Development, OCP Group, Casablanca, Morocco"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zeroual", 
        "givenName": "Youssef", 
        "id": "sg:person.07704671474.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07704671474.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Al-Moutmir Program, OCP Group, Casablanca, Morocco", 
          "id": "http://www.grid.ac/institutes/grid.460966.b", 
          "name": [
            "Al-Moutmir Program, OCP Group, Casablanca, Morocco"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hamma", 
        "givenName": "Abdellah", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Spheres Research Unit, University of Li\u00e8ge, Arlon, Belgium", 
          "id": "http://www.grid.ac/institutes/grid.4861.b", 
          "name": [
            "Spheres Research Unit, University of Li\u00e8ge, Arlon, Belgium"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tychon", 
        "givenName": "Bernard", 
        "id": "sg:person.014204440157.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014204440157.69"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s10705-008-9243-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025786322", 
          "https://doi.org/10.1007/s10705-008-9243-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s42106-019-00080-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1122519400", 
          "https://doi.org/10.1007/s42106-019-00080-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nclimate1916", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017341934", 
          "https://doi.org/10.1038/nclimate1916"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s43016-019-0004-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1123045245", 
          "https://doi.org/10.1038/s43016-019-0004-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13593-014-0225-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040711096", 
          "https://doi.org/10.1007/s13593-014-0225-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-75997-3_532", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051795588", 
          "https://doi.org/10.1007/978-3-540-75997-3_532"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00442-009-1364-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000077085", 
          "https://doi.org/10.1007/s00442-009-1364-3"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2022-08-22", 
    "datePublishedReg": "2022-08-22", 
    "description": "Crop models have evolved over the past decade to incorporate more soil-related processes. While this may open avenues to support farmers regarding fertilization practices, it also widens the pitfalls related to model parametrization. Open-access georeferenced soil databases are often a solution for modelers to derive soil parameters. However, they can potentially add to model uncertainty depending on database resolution and the variability of the characteristics it contains. Fertimap is an online spatial database recently released in Morocco. In this study, we aim at assessing how Fertimap could support the use of crop model in the rainfed wheat production areas of Morocco. Data including local soil analysis, farmers\u2019 practices, wheat biomass, and yield were collected on 126 farmers\u2019 fields distributed across the rainfed wheat production area in Morocco from 2018 to 2020. Data were first used to parameterize, calibrate, and assess the model, using site-specific data to infer soil parameters. Then, the impact of soil data source on model uncertainty was assessed by rerunning the simulations while using alternatively locally measured soil inputs or inputs extracted from Fertimap. To disentangle the effect of data source from model sensitivity on model outputs, the model\u2019s sensitivity to labile phosphorus, pH, and organic carbon parameters was also tested. The APSIM-wheat model was found to reasonably simulate wheat phenological stages, biomass, and yield. The comparison of model outputs using one or another source of soil data indicated that using Fertimap had no significant effect on the model\u2019s outputs. This study provides the first assessment of the APSIM-wheat model for simulation of widely used wheat cultivars in Moroccan rainfed areas. It is also the first proof of the practical utility of Fertimap database for modeling purposes in Morocco. This preliminary study delivers a robust basis for model-assisted agricultural advising to take off in Morocco.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s13593-022-00813-4", 
    "isAccessibleForFree": true, 
    "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": [
      "APSIM-Wheat model", 
      "wheat production areas", 
      "crop models", 
      "production areas", 
      "soil parameters", 
      "soil-related processes", 
      "farmers\u2019 practice", 
      "wheat biomass", 
      "wheat cultivars", 
      "fertilization practices", 
      "phenological stages", 
      "soil inputs", 
      "soil analysis", 
      "model output", 
      "soil data", 
      "site-specific data", 
      "soil database", 
      "farmers", 
      "carbon parameters", 
      "biomass", 
      "yield", 
      "model sensitivity", 
      "Morocco", 
      "cultivars", 
      "significant effect", 
      "phosphorus", 
      "first assessment", 
      "practice", 
      "area", 
      "spatial database", 
      "input", 
      "source", 
      "robust basis", 
      "variability", 
      "output", 
      "impact", 
      "effect", 
      "past decade", 
      "stage", 
      "study", 
      "use", 
      "decades", 
      "data sources", 
      "field", 
      "preliminary study", 
      "data", 
      "assessment", 
      "parameters", 
      "model parametrization", 
      "modelers", 
      "basis", 
      "practical utility", 
      "characteristics", 
      "uncertainty", 
      "avenues", 
      "model uncertainty", 
      "model", 
      "sensitivity", 
      "comparison", 
      "analysis", 
      "database", 
      "first proof", 
      "purpose", 
      "relevance", 
      "utility", 
      "process", 
      "pitfalls", 
      "solution", 
      "simulations", 
      "resolution", 
      "proof", 
      "parametrization", 
      "organic carbon parameters", 
      "database resolution"
    ], 
    "name": "Relevance of soil fertility spatial databases for parameterizing APSIM-wheat crop model in Moroccan rainfed areas", 
    "pagination": "83", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1150403075"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s13593-022-00813-4"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s13593-022-00813-4", 
      "https://app.dimensions.ai/details/publication/pub.1150403075"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-11-24T21:09", 
    "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_930.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s13593-022-00813-4"
  }
]
 

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/s13593-022-00813-4'

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/s13593-022-00813-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s13593-022-00813-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s13593-022-00813-4'


 

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

225 TRIPLES      21 PREDICATES      107 URIs      90 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s13593-022-00813-4 schema:about anzsrc-for:05
2 anzsrc-for:0503
3 anzsrc-for:07
4 anzsrc-for:0703
5 schema:author N44dc4fdd4b744a40b02d86d4b8c0ffda
6 schema:citation sg:pub.10.1007/978-3-540-75997-3_532
7 sg:pub.10.1007/s00442-009-1364-3
8 sg:pub.10.1007/s10705-008-9243-6
9 sg:pub.10.1007/s13593-014-0225-6
10 sg:pub.10.1007/s42106-019-00080-6
11 sg:pub.10.1038/nclimate1916
12 sg:pub.10.1038/s43016-019-0004-2
13 schema:datePublished 2022-08-22
14 schema:datePublishedReg 2022-08-22
15 schema:description Crop models have evolved over the past decade to incorporate more soil-related processes. While this may open avenues to support farmers regarding fertilization practices, it also widens the pitfalls related to model parametrization. Open-access georeferenced soil databases are often a solution for modelers to derive soil parameters. However, they can potentially add to model uncertainty depending on database resolution and the variability of the characteristics it contains. Fertimap is an online spatial database recently released in Morocco. In this study, we aim at assessing how Fertimap could support the use of crop model in the rainfed wheat production areas of Morocco. Data including local soil analysis, farmers’ practices, wheat biomass, and yield were collected on 126 farmers’ fields distributed across the rainfed wheat production area in Morocco from 2018 to 2020. Data were first used to parameterize, calibrate, and assess the model, using site-specific data to infer soil parameters. Then, the impact of soil data source on model uncertainty was assessed by rerunning the simulations while using alternatively locally measured soil inputs or inputs extracted from Fertimap. To disentangle the effect of data source from model sensitivity on model outputs, the model’s sensitivity to labile phosphorus, pH, and organic carbon parameters was also tested. The APSIM-wheat model was found to reasonably simulate wheat phenological stages, biomass, and yield. The comparison of model outputs using one or another source of soil data indicated that using Fertimap had no significant effect on the model’s outputs. This study provides the first assessment of the APSIM-wheat model for simulation of widely used wheat cultivars in Moroccan rainfed areas. It is also the first proof of the practical utility of Fertimap database for modeling purposes in Morocco. This preliminary study delivers a robust basis for model-assisted agricultural advising to take off in Morocco.
16 schema:genre article
17 schema:isAccessibleForFree true
18 schema:isPartOf N57b67b91f6a84fd89f3de5f4c45a5a89
19 N7539bf31f82c4fac8328130717e06bb1
20 sg:journal.1430196
21 schema:keywords APSIM-Wheat model
22 Morocco
23 analysis
24 area
25 assessment
26 avenues
27 basis
28 biomass
29 carbon parameters
30 characteristics
31 comparison
32 crop models
33 cultivars
34 data
35 data sources
36 database
37 database resolution
38 decades
39 effect
40 farmers
41 farmers’ practice
42 fertilization practices
43 field
44 first assessment
45 first proof
46 impact
47 input
48 model
49 model output
50 model parametrization
51 model sensitivity
52 model uncertainty
53 modelers
54 organic carbon parameters
55 output
56 parameters
57 parametrization
58 past decade
59 phenological stages
60 phosphorus
61 pitfalls
62 practical utility
63 practice
64 preliminary study
65 process
66 production areas
67 proof
68 purpose
69 relevance
70 resolution
71 robust basis
72 sensitivity
73 significant effect
74 simulations
75 site-specific data
76 soil analysis
77 soil data
78 soil database
79 soil inputs
80 soil parameters
81 soil-related processes
82 solution
83 source
84 spatial database
85 stage
86 study
87 uncertainty
88 use
89 utility
90 variability
91 wheat biomass
92 wheat cultivars
93 wheat production areas
94 yield
95 schema:name Relevance of soil fertility spatial databases for parameterizing APSIM-wheat crop model in Moroccan rainfed areas
96 schema:pagination 83
97 schema:productId N16ba0ab23ee047bc8a5d49734965172f
98 Nf4370d75fa64465aa325d9c4eb8414f4
99 schema:sameAs https://app.dimensions.ai/details/publication/pub.1150403075
100 https://doi.org/10.1007/s13593-022-00813-4
101 schema:sdDatePublished 2022-11-24T21:09
102 schema:sdLicense https://scigraph.springernature.com/explorer/license/
103 schema:sdPublisher N8a4df956cdf54ae4bf6a6453142ef665
104 schema:url https://doi.org/10.1007/s13593-022-00813-4
105 sgo:license sg:explorer/license/
106 sgo:sdDataset articles
107 rdf:type schema:ScholarlyArticle
108 N0b0dfd5c1d094b8ca27a575481b8a66c rdf:first N81dc28b452d34a92820fdc3f906d5b85
109 rdf:rest N62a194302fe44e01a306cba1f1876d04
110 N16ba0ab23ee047bc8a5d49734965172f schema:name doi
111 schema:value 10.1007/s13593-022-00813-4
112 rdf:type schema:PropertyValue
113 N44dc4fdd4b744a40b02d86d4b8c0ffda rdf:first N946eccd93137454c9ac23cc0a1519eb4
114 rdf:rest N5f098ea13814457a90e4240f09d8054e
115 N51040b4ebebf4722b106b794c9647c7c schema:affiliation grid-institutes:None
116 schema:familyName Jabbour
117 schema:givenName Fatima-Ezzahra
118 rdf:type schema:Person
119 N57b67b91f6a84fd89f3de5f4c45a5a89 schema:issueNumber 5
120 rdf:type schema:PublicationIssue
121 N5f098ea13814457a90e4240f09d8054e rdf:first sg:person.01072053161.26
122 rdf:rest N9f46427af3de42ba95c01e9151993d45
123 N62a194302fe44e01a306cba1f1876d04 rdf:first sg:person.014204440157.69
124 rdf:rest rdf:nil
125 N70783cc4641b46468b9c0f0d0b22ee4b rdf:first N51040b4ebebf4722b106b794c9647c7c
126 rdf:rest N9091c47a662c45ea9b2f741f5c140e4a
127 N7539bf31f82c4fac8328130717e06bb1 schema:volumeNumber 42
128 rdf:type schema:PublicationVolume
129 N81dc28b452d34a92820fdc3f906d5b85 schema:affiliation grid-institutes:grid.460966.b
130 schema:familyName Hamma
131 schema:givenName Abdellah
132 rdf:type schema:Person
133 N8a4df956cdf54ae4bf6a6453142ef665 schema:name Springer Nature - SN SciGraph project
134 rdf:type schema:Organization
135 N9091c47a662c45ea9b2f741f5c140e4a rdf:first sg:person.07704671474.43
136 rdf:rest N0b0dfd5c1d094b8ca27a575481b8a66c
137 N946eccd93137454c9ac23cc0a1519eb4 schema:affiliation grid-institutes:None
138 schema:familyName Mamassi
139 schema:givenName Achraf
140 rdf:type schema:Person
141 N9f46427af3de42ba95c01e9151993d45 rdf:first sg:person.07346730527.23
142 rdf:rest Nf9073a46280344cca2467c0994e400eb
143 Nf4370d75fa64465aa325d9c4eb8414f4 schema:name dimensions_id
144 schema:value pub.1150403075
145 rdf:type schema:PropertyValue
146 Nf9073a46280344cca2467c0994e400eb rdf:first sg:person.010076653675.40
147 rdf:rest N70783cc4641b46468b9c0f0d0b22ee4b
148 anzsrc-for:05 schema:inDefinedTermSet anzsrc-for:
149 schema:name Environmental Sciences
150 rdf:type schema:DefinedTerm
151 anzsrc-for:0503 schema:inDefinedTermSet anzsrc-for:
152 schema:name Soil Sciences
153 rdf:type schema:DefinedTerm
154 anzsrc-for:07 schema:inDefinedTermSet anzsrc-for:
155 schema:name Agricultural and Veterinary Sciences
156 rdf:type schema:DefinedTerm
157 anzsrc-for:0703 schema:inDefinedTermSet anzsrc-for:
158 schema:name Crop and Pasture Production
159 rdf:type schema:DefinedTerm
160 sg:journal.1430196 schema:issn 1773-0155
161 1774-0746
162 schema:name Agronomy for Sustainable Development
163 schema:publisher Springer Nature
164 rdf:type schema:Periodical
165 sg:person.010076653675.40 schema:affiliation grid-institutes:grid.4861.b
166 schema:familyName Wellens
167 schema:givenName Joost
168 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010076653675.40
169 rdf:type schema:Person
170 sg:person.01072053161.26 schema:affiliation grid-institutes:grid.121334.6
171 schema:familyName Marrou
172 schema:givenName Hélène
173 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01072053161.26
174 rdf:type schema:Person
175 sg:person.014204440157.69 schema:affiliation grid-institutes:grid.4861.b
176 schema:familyName Tychon
177 schema:givenName Bernard
178 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014204440157.69
179 rdf:type schema:Person
180 sg:person.07346730527.23 schema:affiliation grid-institutes:None
181 schema:familyName El Gharous
182 schema:givenName Mohamed
183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07346730527.23
184 rdf:type schema:Person
185 sg:person.07704671474.43 schema:affiliation grid-institutes:grid.460966.b
186 schema:familyName Zeroual
187 schema:givenName Youssef
188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07704671474.43
189 rdf:type schema:Person
190 sg:pub.10.1007/978-3-540-75997-3_532 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051795588
191 https://doi.org/10.1007/978-3-540-75997-3_532
192 rdf:type schema:CreativeWork
193 sg:pub.10.1007/s00442-009-1364-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000077085
194 https://doi.org/10.1007/s00442-009-1364-3
195 rdf:type schema:CreativeWork
196 sg:pub.10.1007/s10705-008-9243-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025786322
197 https://doi.org/10.1007/s10705-008-9243-6
198 rdf:type schema:CreativeWork
199 sg:pub.10.1007/s13593-014-0225-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040711096
200 https://doi.org/10.1007/s13593-014-0225-6
201 rdf:type schema:CreativeWork
202 sg:pub.10.1007/s42106-019-00080-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1122519400
203 https://doi.org/10.1007/s42106-019-00080-6
204 rdf:type schema:CreativeWork
205 sg:pub.10.1038/nclimate1916 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017341934
206 https://doi.org/10.1038/nclimate1916
207 rdf:type schema:CreativeWork
208 sg:pub.10.1038/s43016-019-0004-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1123045245
209 https://doi.org/10.1038/s43016-019-0004-2
210 rdf:type schema:CreativeWork
211 grid-institutes:None schema:alternateName Agricultural Innovation and Technology Transfer Centre - AgroBioSciences, Mohammed VI Polytechnic University, Benguerir, Morocco
212 schema:name Agricultural Innovation and Technology Transfer Centre - AgroBioSciences, Mohammed VI Polytechnic University, Benguerir, Morocco
213 Spheres Research Unit, University of Liège, Arlon, Belgium
214 rdf:type schema:Organization
215 grid-institutes:grid.121334.6 schema:alternateName UMR AGAP Institut, L’Institut Agro, Montpellier University, Montpellier, France
216 schema:name UMR AGAP Institut, L’Institut Agro, Montpellier University, Montpellier, France
217 rdf:type schema:Organization
218 grid-institutes:grid.460966.b schema:alternateName Al-Moutmir Program, OCP Group, Casablanca, Morocco
219 Research and Development, OCP Group, Casablanca, Morocco
220 schema:name Al-Moutmir Program, OCP Group, Casablanca, Morocco
221 Research and Development, OCP Group, Casablanca, Morocco
222 rdf:type schema:Organization
223 grid-institutes:grid.4861.b schema:alternateName Spheres Research Unit, University of Liège, Arlon, Belgium
224 schema:name Spheres Research Unit, University of Liège, Arlon, Belgium
225 rdf:type schema:Organization
 




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


...