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 |
DOI | 10.1002/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 |
推荐引用方式 GB/T 7714 | 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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