Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1088/1748-9326/aae7a8 |
Yield response to climate, management, and genotype: a large-scale observational analysis to identify climate-adaptive crop management practices in high-input maize systems | |
Carter, Elizabeth K.1; Riha, Susan J.2; Melkonian, Jeff3; Steinschneider, Scott1 | |
2018-11-01 | |
发表期刊 | ENVIRONMENTAL RESEARCH LETTERS
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ISSN | 1748-9326 |
出版年 | 2018 |
卷号 | 13期号:11 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Sustaining food security under climate conditions expected for the 21st century will require that existing crop production systems simultaneously increase both productivity and resiliency to warmer and more variable climate conditions. In this study, we analyzed observational rainfedmaize (Zeamays L.) yield data from major maize production areas of theUSCorn Belt. These data included detailed information on crop management and genetics not typically available in observational studies, allowing us to better understand maize yield response to climate under variable management. Spatial variability in management variables across the study domain is coincident with spatial climate gradients. Regularized global and geographically weighted regression models were used to exploremaize yield response to climate, management, genetics, and their interactions, while accounting for collinearity among them associated with corresponding scales of spatial variability. In contrast with recent analyses suggesting increased susceptibility to drought stress under higher plant populations inmaize production, our analyses indicated that under moisture limitation, higher yields were achieved when high planting rates were coupled with delayed planting date. Maize genetic families that performed best with adequate moisture saw greater yield penalties under moisture limited conditions, while positive response to increased radiation was consistentamong family lines. Themagnitude of yield response to climate, management, and their interactions was also variable across the study domain, suggesting that information on crop management in spatial yield data can be used to better tailor localmanagement practices to changes in yield potential resulting fromagronomic advancements and changing local climate. |
英文关键词 | acclimation climate variability collinearity crop management rainfed maize observational data |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000449184500001 |
WOS关键词 | PLANT-DENSITY ; KERNEL SET ; DROUGHT ; SENSITIVITY ; HYBRIDS ; TOLERANCE |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/37569 |
专题 | 气候变化 |
作者单位 | 1.Cornell Univ, Dept Biol & Environm Engn, Ithaca, NY 14853 USA; 2.Cornell Univ, Dept Earth & Atmospher Sci, Ithaca, NY 14853 USA; 3.Cornell Univ, Sch Integrat Plant Sci, Sect Soil & Crop Sci, Ithaca, NY 14853 USA |
推荐引用方式 GB/T 7714 | Carter, Elizabeth K.,Riha, Susan J.,Melkonian, Jeff,et al. Yield response to climate, management, and genotype: a large-scale observational analysis to identify climate-adaptive crop management practices in high-input maize systems[J]. ENVIRONMENTAL RESEARCH LETTERS,2018,13(11). |
APA | Carter, Elizabeth K.,Riha, Susan J.,Melkonian, Jeff,&Steinschneider, Scott.(2018).Yield response to climate, management, and genotype: a large-scale observational analysis to identify climate-adaptive crop management practices in high-input maize systems.ENVIRONMENTAL RESEARCH LETTERS,13(11). |
MLA | Carter, Elizabeth K.,et al."Yield response to climate, management, and genotype: a large-scale observational analysis to identify climate-adaptive crop management practices in high-input maize systems".ENVIRONMENTAL RESEARCH LETTERS 13.11(2018). |
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