中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Simulating the effects of optimizing sowing date and variety shift on maize production at finer scale in northeast China under future climate

文献类型:期刊论文

作者Zhang, Chuanwei1; Gao, Jiangbo1; Liu, Lulu; Wu, Shaohong1
刊名JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
出版日期2024-01-12
关键词optimizing sowing date variety shift APSIM northeast China climate change
DOI10.1002/jsfa.13247
产权排序1
英文摘要BACKGROUNDGlobal warming and the rising occurrences of climate extremes have become formidable challenges for maize production in northeast China. The optimization of sowing date and variety choice stand out as two economic approaches for maize to enhance its resilience to climate change. Nevertheless, assessment of the potential of optimizing sowing date and variety shift on maize yield at finer scale remains underexamined. This study investigated the implications of optimizing sowing date and implementing variety shift on maize yield from a regional perspective.RESULTSCompared to the reference period (1986-2005), climate change would decrease by 11.5-34.6% (the range describes the differences among climate scenarios and agro-ecological regions) maize yield in the 2050s (2040-2059) if no adaption measure were to be implemented. The combined adaption (optimizing sowing date and variety shift) can improve maize yield by 38.8 +/- 11.3%, 42.7 +/- 9.7% and 33.9 +/- 7.6% under the SSP1-2.6, SSP2-4.5 and SSP5-8.5 scenarios, respectively. The current sowing window typically falls within the projected optimal sowing window, defined as the period capable of achieving 90% of the maximum yield within the potential sowing window under future climate conditions. Consequently, the potential of the effect of optimizing sowing window on maize yield is limited. In contrast, variety shift results in higher yield improvement, as temperature rise creates favorable conditions for transplanting varieties with an extended growth period, particularly in high latitudes and mountainous regions. Under future climate, cumulative precipitation and compound drought and hot days during maize growing seasons are two key factors influencing maize production.CONCLUSIONSThe optimization of sowing date and variety choice can improve maize yield in northeast China. In addition, maize production should consider varieties with longer growth period and drought and heat tolerance to adapt to climate change. (c) 2023 Society of Chemical Industry.
WOS关键词CULTIVAR SELECTION ; CROP MODELS ; YIELD ; IMPACTS ; PHENOLOGY ; ADAPTATION ; MANAGEMENT ; GROWTH
WOS研究方向Agriculture ; Chemistry ; Food Science & Technology
WOS记录号WOS:001141925800001
源URL[http://ir.igsnrr.ac.cn/handle/311030/201664]  
专题陆地表层格局与模拟院重点实验室_外文论文
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing, Peoples R China
2.Univ Chinese Acad Sci Resources & Environm, Beijing, Peoples R China
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Zhang, Chuanwei,Gao, Jiangbo,Liu, Lulu,et al. Simulating the effects of optimizing sowing date and variety shift on maize production at finer scale in northeast China under future climate[J]. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE,2024.
APA Zhang, Chuanwei,Gao, Jiangbo,Liu, Lulu,&Wu, Shaohong.(2024).Simulating the effects of optimizing sowing date and variety shift on maize production at finer scale in northeast China under future climate.JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE.
MLA Zhang, Chuanwei,et al."Simulating the effects of optimizing sowing date and variety shift on maize production at finer scale in northeast China under future climate".JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE (2024).

入库方式: OAI收割

来源:地理科学与资源研究所

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