2013
DOI: 10.1111/gcb.12324
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Negative effects of climate warming on maize yield are reversed by the changing of sowing date and cultivar selection in Northeast China

Abstract: Northeast China (NEC) accounts for about 30% of the nation's maize production in China. In the past three decades, maize yields in NEC have increased under changes in climate, cultivar selection and crop management. It is important to investigate the contribution of these changing factors to the historical yield increases to improve our understanding of how we can ensure increased yields in the future. In this study, we use phenology observations at six sites from 1981 to 2007 to detect trends in sowing dates … Show more

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Cited by 150 publications
(114 citation statements)
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References 50 publications
(78 reference statements)
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“…As noted in this study, warmer climate speeds up crop development and thereby decreases the duration of maize growth period (Liu et al 2013). In 1981-2008, maize growth season (which is mainly from June to September) experiences increasing warming conditions.…”
Section: Discussionmentioning
confidence: 51%
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“…As noted in this study, warmer climate speeds up crop development and thereby decreases the duration of maize growth period (Liu et al 2013). In 1981-2008, maize growth season (which is mainly from June to September) experiences increasing warming conditions.…”
Section: Discussionmentioning
confidence: 51%
“…Obvious reductions in the length of crop growth seasons due to warming climate are extensively documented in several studies (Porter 2005;Tao et al 2006;Estrella et al 2009;Tao and Zhang 2010;Zhang et al 2013;Xiao et al 2013a, b). Other studies have noted that climate change accelerates crop growth processes, with direct negative impact on crop yield (Liu et al 2013;Xiao and Tao 2014).…”
Section: Introductionmentioning
confidence: 98%
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“…The Agricultural Production Systems sIMulator (APSIM) model (http://www.apsim.info) simulates specific crop yields by calculating interactions among plants, animals, soil, climate, and management practices [27][28][29]. APSIM has been widely used for various regions of a wide range of environmental characteristics with multiple field experiments [30][31][32][33][34]. The model has been used to study the potential impact of climate change on crop productivity [35][36][37][38][39].…”
Section: Crop Model Descriptionmentioning
confidence: 99%
“…Modern breeding increased ear fertility and grain-filling rate, and delayed leaf senescence without modification in net photosynthetic rate. Recently, Liu et al (2013) indicated that earlier sowing dates and introduction of cultivars with higher thermal time requirements in northeastern China had overcome the negative effects of climate change during , through a crop model analyses. These results support our findings that observed yield trend ranged from 12.74 kg ha −1 (0.26%) to 243.07 kg ha −1 (4.3%) per year, with an average of 128.84 kg ha −1 (2.4%) per year, mainly due to cultivars turnover and advance in agronomic management (Table 3).…”
Section: Yield Change Due To Genetic and Agronomic Management Improvementioning
confidence: 99%