Climate-induced reduction in US-wide soybean yields underpinned by region- and in-season-specific responses View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2015-02-02

AUTHORS

Spyridon Mourtzinis, James E. Specht, Laura E. Lindsey, William J. Wiebold, Jeremy Ross, Emerson D. Nafziger, Herman J. Kandel, Nathan Mueller, Philip L. Devillez, Francisco J. Arriaga, Shawn P. Conley

ABSTRACT

The United States is one of the largest soybean exporters in the world. Production is concentrated in the upper Midwest1. Much of this region is not irrigated, rendering soybean production systems in the area highly sensitive to in-season variations in weather. Although the influence of in-season weather trends on the yields of crops such as soybean, wheat and maize has been explored in several countries2–6, the potentially confounding influence of genetic improvements on yields has been overlooked. Here we assess the effect of in-season weather trends on soybean yields in the United States between 1994 and 2013, using field trial data, meteorological data and information on crop management practices, including the adoption of new cultivars. We show that in-season temperature trends had a greater impact on soybean yields than in-season precipitation trends over the measurement period. Averaging across the United States, we show that soybean yields fell by around 2.4% for every 1 °C rise in growing season temperature. However, the response varied significantly among individual states, ranging from −22% to +9%, and also with the month of the year in which the warming occurred. We estimate that year-to-year changes in precipitation and temperature combined suppressed the US average yield gain by around 30% over the measurement period, leading to a loss of US$11 billion. Our data highlight the importance of developing location-specific adaptation strategies for climate change based on early-, mid- and late-growing season climate trends. More... »

PAGES

14026

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nplants.2014.26

DOI

http://dx.doi.org/10.1038/nplants.2014.26

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1014092870

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27246761


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": "Department of Agronomy, University of Wisconsin-Madison, 53706, Madison, Wisconsin, USA", 
          "id": "http://www.grid.ac/institutes/grid.14003.36", 
          "name": [
            "Department of Agronomy, University of Wisconsin-Madison, 53706, Madison, Wisconsin, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mourtzinis", 
        "givenName": "Spyridon", 
        "id": "sg:person.01323032257.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01323032257.90"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Agronomy, University of Nebraska, 68583, Lincoln, Nebraska, USA", 
          "id": "http://www.grid.ac/institutes/grid.24434.35", 
          "name": [
            "Department of Agronomy, University of Nebraska, 68583, Lincoln, Nebraska, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Specht", 
        "givenName": "James E.", 
        "id": "sg:person.01167164235.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01167164235.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Horticulture and Crop Science, 43210, Columbus, Ohio, USA", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Department of Horticulture and Crop Science, 43210, Columbus, Ohio, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lindsey", 
        "givenName": "Laura E.", 
        "id": "sg:person.01077540601.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01077540601.87"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Plant Sciences, University of Missouri, 65211, Columbia, Missouri, USA", 
          "id": "http://www.grid.ac/institutes/grid.134936.a", 
          "name": [
            "Department of Plant Sciences, University of Missouri, 65211, Columbia, Missouri, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wiebold", 
        "givenName": "William J.", 
        "id": "sg:person.010757164675.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010757164675.66"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Arkansas Division of Agriculture, 72204, Little Rock, Arkansas, USA", 
          "id": "http://www.grid.ac/institutes/grid.194632.b", 
          "name": [
            "University of Arkansas Division of Agriculture, 72204, Little Rock, Arkansas, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ross", 
        "givenName": "Jeremy", 
        "id": "sg:person.0714160017.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0714160017.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Crop Sciences, University of Illinois, 61801, Urbana, Illinois, USA", 
          "id": "http://www.grid.ac/institutes/grid.35403.31", 
          "name": [
            "Department of Crop Sciences, University of Illinois, 61801, Urbana, Illinois, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nafziger", 
        "givenName": "Emerson D.", 
        "id": "sg:person.01135766411.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01135766411.67"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Plant Sciences, North Dakota State University, 58108-6050, Fargo, North Dakota, USA", 
          "id": "http://www.grid.ac/institutes/grid.261055.5", 
          "name": [
            "Department of Plant Sciences, North Dakota State University, 58108-6050, Fargo, North Dakota, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kandel", 
        "givenName": "Herman J.", 
        "id": "sg:person.011705403357.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011705403357.20"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Plant Sciences, South Dakota State University, 57007, Brookings, South Dakota, USA", 
          "id": "http://www.grid.ac/institutes/grid.263791.8", 
          "name": [
            "Department of Plant Sciences, South Dakota State University, 57007, Brookings, South Dakota, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mueller", 
        "givenName": "Nathan", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Director of the Purdue Crop Performance Program, 4540 U.S. 52 west, 47906, West Lafayette, Indiana, USA", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Director of the Purdue Crop Performance Program, 4540 U.S. 52 west, 47906, West Lafayette, Indiana, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Devillez", 
        "givenName": "Philip L.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Soil Science, University of Wisconsin-Madison, 53706, Madison, Wisconsin, USA", 
          "id": "http://www.grid.ac/institutes/grid.14003.36", 
          "name": [
            "Department of Soil Science, University of Wisconsin-Madison, 53706, Madison, Wisconsin, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Arriaga", 
        "givenName": "Francisco J.", 
        "id": "sg:person.01274522502.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01274522502.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Agronomy, University of Wisconsin-Madison, 53706, Madison, Wisconsin, USA", 
          "id": "http://www.grid.ac/institutes/grid.14003.36", 
          "name": [
            "Department of Agronomy, University of Wisconsin-Madison, 53706, Madison, Wisconsin, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Conley", 
        "givenName": "Shawn P.", 
        "id": "sg:person.012325166364.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012325166364.61"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1023/a:1023411401144", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052583591", 
          "https://doi.org/10.1023/a:1023411401144"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/387484a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000688460", 
          "https://doi.org/10.1038/387484a0"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-02-02", 
    "datePublishedReg": "2015-02-02", 
    "description": "The United States is one of the largest soybean exporters in the world. Production is concentrated in the upper Midwest1. Much of this region is not irrigated, rendering soybean production systems in the area highly sensitive to in-season variations in weather. Although the influence of in-season weather trends on the yields of crops such as soybean, wheat and maize has been explored in several countries2\u20136, the potentially confounding influence of genetic improvements on yields has been overlooked. Here we assess the effect of in-season weather trends on soybean yields in the United States between 1994 and 2013, using field trial data, meteorological data and information on crop management practices, including the adoption of new cultivars. We show that in-season temperature trends had a greater impact on soybean yields than in-season precipitation trends over the measurement period. Averaging across the United States, we show that soybean yields fell by around 2.4% for every 1\u2005\u00b0C rise in growing season temperature. However, the response varied significantly among individual states, ranging from \u221222% to +9%, and also with the month of the year in which the warming occurred. We estimate that year-to-year changes in precipitation and temperature combined suppressed the US average yield gain by around 30% over the measurement period, leading to a loss of US$11 billion. Our data highlight the importance of developing location-specific adaptation strategies for climate change based on early-, mid- and late-growing season climate trends.", 
    "genre": "article", 
    "id": "sg:pub.10.1038/nplants.2014.26", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1051401", 
        "issn": [
          "2055-026X", 
          "2055-0278"
        ], 
        "name": "Nature Plants", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "1"
      }
    ], 
    "keywords": [
      "soybean yield", 
      "location-specific adaptation strategies", 
      "weather trends", 
      "crop management practices", 
      "average yield gain", 
      "soybean production systems", 
      "yield of crops", 
      "season temperature trends", 
      "field trial data", 
      "climate-induced reductions", 
      "yield gains", 
      "new cultivars", 
      "genetic improvement", 
      "season-specific responses", 
      "production systems", 
      "management practices", 
      "season temperature", 
      "measurement period", 
      "adaptation strategies", 
      "yield", 
      "season variation", 
      "climate change", 
      "climate trends", 
      "United States", 
      "meteorological data", 
      "crops", 
      "wheat", 
      "maize", 
      "cultivars", 
      "soybean", 
      "year changes", 
      "Midwest1", 
      "great impact", 
      "production", 
      "weather", 
      "precipitation trends", 
      "exporters", 
      "adoption", 
      "warming", 
      "region", 
      "temperature trends", 
      "trial data", 
      "trends", 
      "years", 
      "response", 
      "precipitation", 
      "period", 
      "practice", 
      "area", 
      "loss", 
      "variation", 
      "impact", 
      "gain", 
      "world", 
      "changes", 
      "strategies", 
      "improvement", 
      "importance", 
      "influence", 
      "reduction", 
      "effect", 
      "data", 
      "temperature", 
      "state", 
      "system", 
      "confounding influence", 
      "information", 
      "individual states", 
      "months"
    ], 
    "name": "Climate-induced reduction in US-wide soybean yields underpinned by region- and in-season-specific responses", 
    "pagination": "14026", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1014092870"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/nplants.2014.26"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "27246761"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/nplants.2014.26", 
      "https://app.dimensions.ai/details/publication/pub.1014092870"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-08-04T17:03", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/article/article_680.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1038/nplants.2014.26"
  }
]
 

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.10.1038/nplants.2014.26'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/nplants.2014.26'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nplants.2014.26'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nplants.2014.26'


 

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

231 TRIPLES      21 PREDICATES      96 URIs      86 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/nplants.2014.26 schema:about anzsrc-for:07
2 anzsrc-for:0703
3 schema:author Na85e4a76228848c0bceb1cce7e1b6ebe
4 schema:citation sg:pub.10.1023/a:1023411401144
5 sg:pub.10.1038/387484a0
6 schema:datePublished 2015-02-02
7 schema:datePublishedReg 2015-02-02
8 schema:description The United States is one of the largest soybean exporters in the world. Production is concentrated in the upper Midwest1. Much of this region is not irrigated, rendering soybean production systems in the area highly sensitive to in-season variations in weather. Although the influence of in-season weather trends on the yields of crops such as soybean, wheat and maize has been explored in several countries2–6, the potentially confounding influence of genetic improvements on yields has been overlooked. Here we assess the effect of in-season weather trends on soybean yields in the United States between 1994 and 2013, using field trial data, meteorological data and information on crop management practices, including the adoption of new cultivars. We show that in-season temperature trends had a greater impact on soybean yields than in-season precipitation trends over the measurement period. Averaging across the United States, we show that soybean yields fell by around 2.4% for every 1 °C rise in growing season temperature. However, the response varied significantly among individual states, ranging from −22% to +9%, and also with the month of the year in which the warming occurred. We estimate that year-to-year changes in precipitation and temperature combined suppressed the US average yield gain by around 30% over the measurement period, leading to a loss of US$11 billion. Our data highlight the importance of developing location-specific adaptation strategies for climate change based on early-, mid- and late-growing season climate trends.
9 schema:genre article
10 schema:isAccessibleForFree false
11 schema:isPartOf Ncd724106ce7e41928a3fee1260ec926a
12 Nd877e166e7f5452ba254d8c2e4898b21
13 sg:journal.1051401
14 schema:keywords Midwest1
15 United States
16 adaptation strategies
17 adoption
18 area
19 average yield gain
20 changes
21 climate change
22 climate trends
23 climate-induced reductions
24 confounding influence
25 crop management practices
26 crops
27 cultivars
28 data
29 effect
30 exporters
31 field trial data
32 gain
33 genetic improvement
34 great impact
35 impact
36 importance
37 improvement
38 individual states
39 influence
40 information
41 location-specific adaptation strategies
42 loss
43 maize
44 management practices
45 measurement period
46 meteorological data
47 months
48 new cultivars
49 period
50 practice
51 precipitation
52 precipitation trends
53 production
54 production systems
55 reduction
56 region
57 response
58 season temperature
59 season temperature trends
60 season variation
61 season-specific responses
62 soybean
63 soybean production systems
64 soybean yield
65 state
66 strategies
67 system
68 temperature
69 temperature trends
70 trends
71 trial data
72 variation
73 warming
74 weather
75 weather trends
76 wheat
77 world
78 year changes
79 years
80 yield
81 yield gains
82 yield of crops
83 schema:name Climate-induced reduction in US-wide soybean yields underpinned by region- and in-season-specific responses
84 schema:pagination 14026
85 schema:productId N1363dff88ba64bc2a5401b8c24c2eadd
86 N75d72364e94b436fbbf1cffa2a6dc993
87 N8a39c81ff5fe471dac4c913d66445ccd
88 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014092870
89 https://doi.org/10.1038/nplants.2014.26
90 schema:sdDatePublished 2022-08-04T17:03
91 schema:sdLicense https://scigraph.springernature.com/explorer/license/
92 schema:sdPublisher N67342447fb2447819ec81da7ff6f3e88
93 schema:url https://doi.org/10.1038/nplants.2014.26
94 sgo:license sg:explorer/license/
95 sgo:sdDataset articles
96 rdf:type schema:ScholarlyArticle
97 N0c67b716ecee4da684011faec1708ee7 rdf:first N8c58f694576344e6877e9d0763c7489a
98 rdf:rest N120ee36e494d436baca82ebe2f21fe06
99 N0e7f5244a56b48649aae5e7b4f96752e rdf:first sg:person.010757164675.66
100 rdf:rest N72c83dbfb66c4f8198c2b757c1de3a89
101 N120ee36e494d436baca82ebe2f21fe06 rdf:first sg:person.01274522502.38
102 rdf:rest N46a43210a0b44eee9b16557db01d57d8
103 N1363dff88ba64bc2a5401b8c24c2eadd schema:name doi
104 schema:value 10.1038/nplants.2014.26
105 rdf:type schema:PropertyValue
106 N46a43210a0b44eee9b16557db01d57d8 rdf:first sg:person.012325166364.61
107 rdf:rest rdf:nil
108 N64cdff96ee2b4973b33abbac3e069d6f rdf:first sg:person.01167164235.18
109 rdf:rest N71486a56359b41dcb6f163dc5fbcead0
110 N67342447fb2447819ec81da7ff6f3e88 schema:name Springer Nature - SN SciGraph project
111 rdf:type schema:Organization
112 N6b953ff84d4f4f27a96d2a8c16c2cad2 rdf:first sg:person.01135766411.67
113 rdf:rest Na557ec3b61204692ab305b176af571c2
114 N71486a56359b41dcb6f163dc5fbcead0 rdf:first sg:person.01077540601.87
115 rdf:rest N0e7f5244a56b48649aae5e7b4f96752e
116 N72c83dbfb66c4f8198c2b757c1de3a89 rdf:first sg:person.0714160017.07
117 rdf:rest N6b953ff84d4f4f27a96d2a8c16c2cad2
118 N75d72364e94b436fbbf1cffa2a6dc993 schema:name pubmed_id
119 schema:value 27246761
120 rdf:type schema:PropertyValue
121 N81e61fae91a94d41968894d1c4dcddb6 schema:affiliation grid-institutes:grid.263791.8
122 schema:familyName Mueller
123 schema:givenName Nathan
124 rdf:type schema:Person
125 N8a39c81ff5fe471dac4c913d66445ccd schema:name dimensions_id
126 schema:value pub.1014092870
127 rdf:type schema:PropertyValue
128 N8c58f694576344e6877e9d0763c7489a schema:affiliation grid-institutes:None
129 schema:familyName Devillez
130 schema:givenName Philip L.
131 rdf:type schema:Person
132 Na557ec3b61204692ab305b176af571c2 rdf:first sg:person.011705403357.20
133 rdf:rest Ncf929ca96ac64dccaa38ff1cd68adcde
134 Na85e4a76228848c0bceb1cce7e1b6ebe rdf:first sg:person.01323032257.90
135 rdf:rest N64cdff96ee2b4973b33abbac3e069d6f
136 Ncd724106ce7e41928a3fee1260ec926a schema:issueNumber 2
137 rdf:type schema:PublicationIssue
138 Ncf929ca96ac64dccaa38ff1cd68adcde rdf:first N81e61fae91a94d41968894d1c4dcddb6
139 rdf:rest N0c67b716ecee4da684011faec1708ee7
140 Nd877e166e7f5452ba254d8c2e4898b21 schema:volumeNumber 1
141 rdf:type schema:PublicationVolume
142 anzsrc-for:07 schema:inDefinedTermSet anzsrc-for:
143 schema:name Agricultural and Veterinary Sciences
144 rdf:type schema:DefinedTerm
145 anzsrc-for:0703 schema:inDefinedTermSet anzsrc-for:
146 schema:name Crop and Pasture Production
147 rdf:type schema:DefinedTerm
148 sg:journal.1051401 schema:issn 2055-026X
149 2055-0278
150 schema:name Nature Plants
151 schema:publisher Springer Nature
152 rdf:type schema:Periodical
153 sg:person.010757164675.66 schema:affiliation grid-institutes:grid.134936.a
154 schema:familyName Wiebold
155 schema:givenName William J.
156 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010757164675.66
157 rdf:type schema:Person
158 sg:person.01077540601.87 schema:affiliation grid-institutes:None
159 schema:familyName Lindsey
160 schema:givenName Laura E.
161 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01077540601.87
162 rdf:type schema:Person
163 sg:person.01135766411.67 schema:affiliation grid-institutes:grid.35403.31
164 schema:familyName Nafziger
165 schema:givenName Emerson D.
166 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01135766411.67
167 rdf:type schema:Person
168 sg:person.01167164235.18 schema:affiliation grid-institutes:grid.24434.35
169 schema:familyName Specht
170 schema:givenName James E.
171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01167164235.18
172 rdf:type schema:Person
173 sg:person.011705403357.20 schema:affiliation grid-institutes:grid.261055.5
174 schema:familyName Kandel
175 schema:givenName Herman J.
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011705403357.20
177 rdf:type schema:Person
178 sg:person.012325166364.61 schema:affiliation grid-institutes:grid.14003.36
179 schema:familyName Conley
180 schema:givenName Shawn P.
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012325166364.61
182 rdf:type schema:Person
183 sg:person.01274522502.38 schema:affiliation grid-institutes:grid.14003.36
184 schema:familyName Arriaga
185 schema:givenName Francisco J.
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01274522502.38
187 rdf:type schema:Person
188 sg:person.01323032257.90 schema:affiliation grid-institutes:grid.14003.36
189 schema:familyName Mourtzinis
190 schema:givenName Spyridon
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01323032257.90
192 rdf:type schema:Person
193 sg:person.0714160017.07 schema:affiliation grid-institutes:grid.194632.b
194 schema:familyName Ross
195 schema:givenName Jeremy
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0714160017.07
197 rdf:type schema:Person
198 sg:pub.10.1023/a:1023411401144 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052583591
199 https://doi.org/10.1023/a:1023411401144
200 rdf:type schema:CreativeWork
201 sg:pub.10.1038/387484a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000688460
202 https://doi.org/10.1038/387484a0
203 rdf:type schema:CreativeWork
204 grid-institutes:None schema:alternateName Department of Horticulture and Crop Science, 43210, Columbus, Ohio, USA
205 Director of the Purdue Crop Performance Program, 4540 U.S. 52 west, 47906, West Lafayette, Indiana, USA
206 schema:name Department of Horticulture and Crop Science, 43210, Columbus, Ohio, USA
207 Director of the Purdue Crop Performance Program, 4540 U.S. 52 west, 47906, West Lafayette, Indiana, USA
208 rdf:type schema:Organization
209 grid-institutes:grid.134936.a schema:alternateName Department of Plant Sciences, University of Missouri, 65211, Columbia, Missouri, USA
210 schema:name Department of Plant Sciences, University of Missouri, 65211, Columbia, Missouri, USA
211 rdf:type schema:Organization
212 grid-institutes:grid.14003.36 schema:alternateName Department of Agronomy, University of Wisconsin-Madison, 53706, Madison, Wisconsin, USA
213 Department of Soil Science, University of Wisconsin-Madison, 53706, Madison, Wisconsin, USA
214 schema:name Department of Agronomy, University of Wisconsin-Madison, 53706, Madison, Wisconsin, USA
215 Department of Soil Science, University of Wisconsin-Madison, 53706, Madison, Wisconsin, USA
216 rdf:type schema:Organization
217 grid-institutes:grid.194632.b schema:alternateName University of Arkansas Division of Agriculture, 72204, Little Rock, Arkansas, USA
218 schema:name University of Arkansas Division of Agriculture, 72204, Little Rock, Arkansas, USA
219 rdf:type schema:Organization
220 grid-institutes:grid.24434.35 schema:alternateName Department of Agronomy, University of Nebraska, 68583, Lincoln, Nebraska, USA
221 schema:name Department of Agronomy, University of Nebraska, 68583, Lincoln, Nebraska, USA
222 rdf:type schema:Organization
223 grid-institutes:grid.261055.5 schema:alternateName Department of Plant Sciences, North Dakota State University, 58108-6050, Fargo, North Dakota, USA
224 schema:name Department of Plant Sciences, North Dakota State University, 58108-6050, Fargo, North Dakota, USA
225 rdf:type schema:Organization
226 grid-institutes:grid.263791.8 schema:alternateName Department of Plant Sciences, South Dakota State University, 57007, Brookings, South Dakota, USA
227 schema:name Department of Plant Sciences, South Dakota State University, 57007, Brookings, South Dakota, USA
228 rdf:type schema:Organization
229 grid-institutes:grid.35403.31 schema:alternateName Department of Crop Sciences, University of Illinois, 61801, Urbana, Illinois, USA
230 schema:name Department of Crop Sciences, University of Illinois, 61801, Urbana, Illinois, USA
231 rdf:type schema:Organization
 




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


...