Optimizing Sowing Date and Planting Density Can Mitigate the Impacts of Future Climate on Maize Yield: A Case Study in the Guanzhong Plain of China

Xu, F; Wang, B; He, C; Liu, DL; Feng, P; Yao, N; Zhang, R; Xu, S; Xue, J; Feng, H; Yu, Q; He, J

Optimizing Sowing Date and Planting Density Can Mitigate the Impacts of Future Climate on Maize Yield: A Case Study in the Guanzhong Plain of China

Xu, F Wang, B He, C Liu, DL Feng, P Yao, N Zhang, R Xu, S Xue, J Feng, H Yu, Q

He, J

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Publisher:: MDPI AG
Publication Type:: Journal Article
Citation:: Agronomy, 2021, 11, (8), pp. 1452
Issue Date:: 2021-07-21

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Field	Value	Language
dc.contributor.author	Xu, F
dc.contributor.author	Wang, B
dc.contributor.author	He, C
dc.contributor.author	Liu, DL
dc.contributor.author	Feng, P
dc.contributor.author	Yao, N
dc.contributor.author	Zhang, R
dc.contributor.author	Xu, S
dc.contributor.author	Xue, J
dc.contributor.author	Feng, H
dc.contributor.author	Yu, Q https://orcid.org/0000-0001-6950-1821
dc.contributor.author	He, J
dc.date.accessioned	2022-02-12T19:34:03Z
dc.date.available	2022-02-12T19:34:03Z
dc.date.issued	2021-07-21
dc.identifier.citation	Agronomy, 2021, 11, (8), pp. 1452
dc.identifier.issn	2073-4395
dc.identifier.issn	2073-4395
dc.identifier.uri	http://hdl.handle.net/10453/154437
dc.description.abstract	<jats:p>We used the APSIM-Maize model to simulate maize potential yield (Yp) and rain-fed yield (Yw) when adaptation options of sowing date and planting density were adopted under Representative Concentration Pathway (RCP) 4.5 and 8.5 in the Guanzhong Plain of China. The results showed that Yp would decrease by 10.6–14.9% and 15.0–31.4% under RCP4.5 and RCP8.5 for summer maize, and 13.9–19.7% and 18.5–36.3% for spring maize, respectively. The Yw would decrease by 17.1–19.0% and 23.6–41.1% under RCP4.5 and RCP8.5 for summer maize, and 20.9–24.5% and 27.8–45.5% for spring maize, respectively. The loss of Yp and Yw could be reduced by 2.6–9.7% and 0–9.9%, respectively, under future climate for summer maize through countermeasures. For spring maize, the loss of Yp was mitigated by 14.0–25.0% and 2.0–21.8% for Yw. The contribution of changing sowing date and plant density on spring maize yield was more than summer maize, and the optimal adaptation options were more effective for spring maize. Additionally, the influences of changing sowing date and planting density on yields become weak as climate changes become more severe. Therefore, it is important to investigate the potential of other adaptation measures to cope with climate change in the Guanzhong Plain of China.</jats:p>
dc.language	en
dc.publisher	MDPI AG
dc.relation.ispartof	Agronomy
dc.relation.isbasedon	10.3390/agronomy11081452
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0502 Environmental Science and Management, 0703 Crop and Pasture Production
dc.title	Optimizing Sowing Date and Planting Density Can Mitigate the Impacts of Future Climate on Maize Yield: A Case Study in the Guanzhong Plain of China
dc.type	Journal Article
utslib.citation.volume	11
utslib.for	0502 Environmental Science and Management
utslib.for	0703 Crop and Pasture Production
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
utslib.copyright.status	open_access	*
dc.date.updated	2022-02-12T19:33:55Z
pubs.issue	8
pubs.publication-status	Published online
pubs.volume	11
utslib.citation.issue	8

Abstract:

We used the APSIM-Maize model to simulate maize potential yield (Yp) and rain-fed yield (Yw) when adaptation options of sowing date and planting density were adopted under Representative Concentration Pathway (RCP) 4.5 and 8.5 in the Guanzhong Plain of China. The results showed that Yp would decrease by 10.6–14.9% and 15.0–31.4% under RCP4.5 and RCP8.5 for summer maize, and 13.9–19.7% and 18.5–36.3% for spring maize, respectively. The Yw would decrease by 17.1–19.0% and 23.6–41.1% under RCP4.5 and RCP8.5 for summer maize, and 20.9–24.5% and 27.8–45.5% for spring maize, respectively. The loss of Yp and Yw could be reduced by 2.6–9.7% and 0–9.9%, respectively, under future climate for summer maize through countermeasures. For spring maize, the loss of Yp was mitigated by 14.0–25.0% and 2.0–21.8% for Yw. The contribution of changing sowing date and plant density on spring maize yield was more than summer maize, and the optimal adaptation options were more effective for spring maize. Additionally, the influences of changing sowing date and planting density on yields become weak as climate changes become more severe. Therefore, it is important to investigate the potential of other adaptation measures to cope with climate change in the Guanzhong Plain of China.

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http://hdl.handle.net/10453/154437