Coupling of environmental factors and growth stages in simulation of maize biomass allocation
Purpose The patterns of biomass allocation are particularly important because it is related to crop yield, plant growth rate and plant survival in a changeable environment and constant growth. Our study aimed to develop a new model to describe the allocation strategies of maize. Methods We identifie...
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| Veröffentlicht in: | Plant and soil 2024-06, Vol.499 (1-2), p.329-347 |
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| creator | Zhang, Ruoqing Yang, Danni Li, Sien Chen, Jinliang Hu, Dan Guo, Hui Wang, Chunyu Wang, Yahui Cong, Xue |
| description | Purpose
The patterns of biomass allocation are particularly important because it is related to crop yield, plant growth rate and plant survival in a changeable environment and constant growth. Our study aimed to develop a new model to describe the allocation strategies of maize.
Methods
We identified 73 sets of data about the effect of environmental factors (water factors and nutrient factors) on maize dry matter allocation to test the functional equilibrium theory. We then coupled the Friedlingstein model (describe the influence of environmental factors) and the Logistic model (describe the trend of biomass during growth) to describe the growth of maize in the vegetative growth stage. Model performance was evaluated with experimental data including soil volume moisture content (
θ
), soil temperature (
T
s
), leaf area index (LAI), and dry matter from a five-year maize experiment under two irrigation treatments.
Results
The shoot to root ratio decreased as the water and nutrient stress level increased. The average coefficient of determination (R
2
) of three organs over five years was 0.92, 0.65, and 0.58 for the Coupled model, Friedlingstein model, and Logistic model, respectively. In addition, by an allometric analysis we found that the allocation strategies of maize were related to yield.
Conclusion
For maize, an annual crop, environmental factors and ontogeny are crucial. Hence, in the Coupled model we established, it was taken into account to present better simulation accuracy and possibly provide a new insight for yield prediction in the early growth stage. |
| doi_str_mv | 10.1007/s11104-022-05794-7 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_3061510867</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3061510867</sourcerecordid><originalsourceid>FETCH-LOGICAL-c319t-cf4dce865e93083cb91201c3ab6845c2c6ccbdce21103a7d50584327a23339793</originalsourceid><addsrcrecordid>eNp9kE9LxDAQxYMouK5-AU8Bz9VJ0jTtURb_wYIXBS8S0mxas7TJmrSKfnrTreDN0zC893vDPITOCVwSAHEVCSGQZ0BpBlxUeSYO0IJwwTIOrDhECwCWJFG9HKOTGLcw7aRYoNeVH3eddS32DTbuwwbveuMG1eFG6cGHiJXb4Db4z-ENx0G1JmLrcLT92KnBejeBvbLfBtfW9yomoOu83mun6KhRXTRnv3OJnm9vnlb32frx7mF1vc40I9WQ6SbfaFMW3FQMSqbrilAgmqm6KHOuqS60rpODpieZEhsOvMwZFYoyxipRsSW6mHN3wb-PJg5y68fg0knJoCCcQFmI5KKzSwcfYzCN3AXbq_AlCcipRjnXKFONcl-jnCA2QzGZXWvCX_Q_1A--w3YR</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3061510867</pqid></control><display><type>article</type><title>Coupling of environmental factors and growth stages in simulation of maize biomass allocation</title><source>SpringerLink Journals</source><creator>Zhang, Ruoqing ; Yang, Danni ; Li, Sien ; Chen, Jinliang ; Hu, Dan ; Guo, Hui ; Wang, Chunyu ; Wang, Yahui ; Cong, Xue</creator><creatorcontrib>Zhang, Ruoqing ; Yang, Danni ; Li, Sien ; Chen, Jinliang ; Hu, Dan ; Guo, Hui ; Wang, Chunyu ; Wang, Yahui ; Cong, Xue</creatorcontrib><description>Purpose
The patterns of biomass allocation are particularly important because it is related to crop yield, plant growth rate and plant survival in a changeable environment and constant growth. Our study aimed to develop a new model to describe the allocation strategies of maize.
Methods
We identified 73 sets of data about the effect of environmental factors (water factors and nutrient factors) on maize dry matter allocation to test the functional equilibrium theory. We then coupled the Friedlingstein model (describe the influence of environmental factors) and the Logistic model (describe the trend of biomass during growth) to describe the growth of maize in the vegetative growth stage. Model performance was evaluated with experimental data including soil volume moisture content (
θ
), soil temperature (
T
s
), leaf area index (LAI), and dry matter from a five-year maize experiment under two irrigation treatments.
Results
The shoot to root ratio decreased as the water and nutrient stress level increased. The average coefficient of determination (R
2
) of three organs over five years was 0.92, 0.65, and 0.58 for the Coupled model, Friedlingstein model, and Logistic model, respectively. In addition, by an allometric analysis we found that the allocation strategies of maize were related to yield.
Conclusion
For maize, an annual crop, environmental factors and ontogeny are crucial. Hence, in the Coupled model we established, it was taken into account to present better simulation accuracy and possibly provide a new insight for yield prediction in the early growth stage.</description><identifier>ISSN: 0032-079X</identifier><identifier>EISSN: 1573-5036</identifier><identifier>DOI: 10.1007/s11104-022-05794-7</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Agricultural production ; Agriculture ; Biomass ; Biomedical and Life Sciences ; Cereal crops ; Corn ; Crop yield ; Dry matter ; Ecology ; Environmental effects ; Environmental factors ; Growth stage ; Leaf area ; Leaf area index ; Life Sciences ; Moisture content ; Nutrients ; Ontogeny ; Plant growth ; Plant Physiology ; Plant Sciences ; Research Article ; Soil moisture ; Soil Science & Conservation ; Soil temperature ; Water content</subject><ispartof>Plant and soil, 2024-06, Vol.499 (1-2), p.329-347</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-cf4dce865e93083cb91201c3ab6845c2c6ccbdce21103a7d50584327a23339793</citedby><cites>FETCH-LOGICAL-c319t-cf4dce865e93083cb91201c3ab6845c2c6ccbdce21103a7d50584327a23339793</cites><orcidid>0000-0002-9460-7449</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11104-022-05794-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11104-022-05794-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Zhang, Ruoqing</creatorcontrib><creatorcontrib>Yang, Danni</creatorcontrib><creatorcontrib>Li, Sien</creatorcontrib><creatorcontrib>Chen, Jinliang</creatorcontrib><creatorcontrib>Hu, Dan</creatorcontrib><creatorcontrib>Guo, Hui</creatorcontrib><creatorcontrib>Wang, Chunyu</creatorcontrib><creatorcontrib>Wang, Yahui</creatorcontrib><creatorcontrib>Cong, Xue</creatorcontrib><title>Coupling of environmental factors and growth stages in simulation of maize biomass allocation</title><title>Plant and soil</title><addtitle>Plant Soil</addtitle><description>Purpose
The patterns of biomass allocation are particularly important because it is related to crop yield, plant growth rate and plant survival in a changeable environment and constant growth. Our study aimed to develop a new model to describe the allocation strategies of maize.
Methods
We identified 73 sets of data about the effect of environmental factors (water factors and nutrient factors) on maize dry matter allocation to test the functional equilibrium theory. We then coupled the Friedlingstein model (describe the influence of environmental factors) and the Logistic model (describe the trend of biomass during growth) to describe the growth of maize in the vegetative growth stage. Model performance was evaluated with experimental data including soil volume moisture content (
θ
), soil temperature (
T
s
), leaf area index (LAI), and dry matter from a five-year maize experiment under two irrigation treatments.
Results
The shoot to root ratio decreased as the water and nutrient stress level increased. The average coefficient of determination (R
2
) of three organs over five years was 0.92, 0.65, and 0.58 for the Coupled model, Friedlingstein model, and Logistic model, respectively. In addition, by an allometric analysis we found that the allocation strategies of maize were related to yield.
Conclusion
For maize, an annual crop, environmental factors and ontogeny are crucial. Hence, in the Coupled model we established, it was taken into account to present better simulation accuracy and possibly provide a new insight for yield prediction in the early growth stage.</description><subject>Agricultural production</subject><subject>Agriculture</subject><subject>Biomass</subject><subject>Biomedical and Life Sciences</subject><subject>Cereal crops</subject><subject>Corn</subject><subject>Crop yield</subject><subject>Dry matter</subject><subject>Ecology</subject><subject>Environmental effects</subject><subject>Environmental factors</subject><subject>Growth stage</subject><subject>Leaf area</subject><subject>Leaf area index</subject><subject>Life Sciences</subject><subject>Moisture content</subject><subject>Nutrients</subject><subject>Ontogeny</subject><subject>Plant growth</subject><subject>Plant Physiology</subject><subject>Plant Sciences</subject><subject>Research Article</subject><subject>Soil moisture</subject><subject>Soil Science & Conservation</subject><subject>Soil temperature</subject><subject>Water content</subject><issn>0032-079X</issn><issn>1573-5036</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kE9LxDAQxYMouK5-AU8Bz9VJ0jTtURb_wYIXBS8S0mxas7TJmrSKfnrTreDN0zC893vDPITOCVwSAHEVCSGQZ0BpBlxUeSYO0IJwwTIOrDhECwCWJFG9HKOTGLcw7aRYoNeVH3eddS32DTbuwwbveuMG1eFG6cGHiJXb4Db4z-ENx0G1JmLrcLT92KnBejeBvbLfBtfW9yomoOu83mun6KhRXTRnv3OJnm9vnlb32frx7mF1vc40I9WQ6SbfaFMW3FQMSqbrilAgmqm6KHOuqS60rpODpieZEhsOvMwZFYoyxipRsSW6mHN3wb-PJg5y68fg0knJoCCcQFmI5KKzSwcfYzCN3AXbq_AlCcipRjnXKFONcl-jnCA2QzGZXWvCX_Q_1A--w3YR</recordid><startdate>20240601</startdate><enddate>20240601</enddate><creator>Zhang, Ruoqing</creator><creator>Yang, Danni</creator><creator>Li, Sien</creator><creator>Chen, Jinliang</creator><creator>Hu, Dan</creator><creator>Guo, Hui</creator><creator>Wang, Chunyu</creator><creator>Wang, Yahui</creator><creator>Cong, Xue</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7ST</scope><scope>7T7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-9460-7449</orcidid></search><sort><creationdate>20240601</creationdate><title>Coupling of environmental factors and growth stages in simulation of maize biomass allocation</title><author>Zhang, Ruoqing ; Yang, Danni ; Li, Sien ; Chen, Jinliang ; Hu, Dan ; Guo, Hui ; Wang, Chunyu ; Wang, Yahui ; Cong, Xue</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-cf4dce865e93083cb91201c3ab6845c2c6ccbdce21103a7d50584327a23339793</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Agricultural production</topic><topic>Agriculture</topic><topic>Biomass</topic><topic>Biomedical and Life Sciences</topic><topic>Cereal crops</topic><topic>Corn</topic><topic>Crop yield</topic><topic>Dry matter</topic><topic>Ecology</topic><topic>Environmental effects</topic><topic>Environmental factors</topic><topic>Growth stage</topic><topic>Leaf area</topic><topic>Leaf area index</topic><topic>Life Sciences</topic><topic>Moisture content</topic><topic>Nutrients</topic><topic>Ontogeny</topic><topic>Plant growth</topic><topic>Plant Physiology</topic><topic>Plant Sciences</topic><topic>Research Article</topic><topic>Soil moisture</topic><topic>Soil Science & Conservation</topic><topic>Soil temperature</topic><topic>Water content</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Ruoqing</creatorcontrib><creatorcontrib>Yang, Danni</creatorcontrib><creatorcontrib>Li, Sien</creatorcontrib><creatorcontrib>Chen, Jinliang</creatorcontrib><creatorcontrib>Hu, Dan</creatorcontrib><creatorcontrib>Guo, Hui</creatorcontrib><creatorcontrib>Wang, Chunyu</creatorcontrib><creatorcontrib>Wang, Yahui</creatorcontrib><creatorcontrib>Cong, Xue</creatorcontrib><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Plant and soil</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Ruoqing</au><au>Yang, Danni</au><au>Li, Sien</au><au>Chen, Jinliang</au><au>Hu, Dan</au><au>Guo, Hui</au><au>Wang, Chunyu</au><au>Wang, Yahui</au><au>Cong, Xue</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Coupling of environmental factors and growth stages in simulation of maize biomass allocation</atitle><jtitle>Plant and soil</jtitle><stitle>Plant Soil</stitle><date>2024-06-01</date><risdate>2024</risdate><volume>499</volume><issue>1-2</issue><spage>329</spage><epage>347</epage><pages>329-347</pages><issn>0032-079X</issn><eissn>1573-5036</eissn><abstract>Purpose
The patterns of biomass allocation are particularly important because it is related to crop yield, plant growth rate and plant survival in a changeable environment and constant growth. Our study aimed to develop a new model to describe the allocation strategies of maize.
Methods
We identified 73 sets of data about the effect of environmental factors (water factors and nutrient factors) on maize dry matter allocation to test the functional equilibrium theory. We then coupled the Friedlingstein model (describe the influence of environmental factors) and the Logistic model (describe the trend of biomass during growth) to describe the growth of maize in the vegetative growth stage. Model performance was evaluated with experimental data including soil volume moisture content (
θ
), soil temperature (
T
s
), leaf area index (LAI), and dry matter from a five-year maize experiment under two irrigation treatments.
Results
The shoot to root ratio decreased as the water and nutrient stress level increased. The average coefficient of determination (R
2
) of three organs over five years was 0.92, 0.65, and 0.58 for the Coupled model, Friedlingstein model, and Logistic model, respectively. In addition, by an allometric analysis we found that the allocation strategies of maize were related to yield.
Conclusion
For maize, an annual crop, environmental factors and ontogeny are crucial. Hence, in the Coupled model we established, it was taken into account to present better simulation accuracy and possibly provide a new insight for yield prediction in the early growth stage.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s11104-022-05794-7</doi><tpages>19</tpages><orcidid>https://orcid.org/0000-0002-9460-7449</orcidid></addata></record> |
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| subjects | Agricultural production Agriculture Biomass Biomedical and Life Sciences Cereal crops Corn Crop yield Dry matter Ecology Environmental effects Environmental factors Growth stage Leaf area Leaf area index Life Sciences Moisture content Nutrients Ontogeny Plant growth Plant Physiology Plant Sciences Research Article Soil moisture Soil Science & Conservation Soil temperature Water content |
| title | Coupling of environmental factors and growth stages in simulation of maize biomass allocation |
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