Climate warming over the past three decades has shortened rice growth duration in China and cultivar shifts have further accelerated the process for late rice
An extensive dataset on rice phenology in China, including 202 series broadly covering the past three decades (1980s–2000s), was compiled. From these data, we estimated the responses of growth duration length to temperature using a regression model based on the data with and without detrending. Regr...
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| Published in | Global change biology Vol. 19; no. 2; pp. 563 - 570 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Oxford
Blackwell Publishing Ltd
01.02.2013
Wiley-Blackwell |
| Subjects | |
| Online Access | Get full text |
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| Abstract | An extensive dataset on rice phenology in China, including 202 series broadly covering the past three decades (1980s–2000s), was compiled. From these data, we estimated the responses of growth duration length to temperature using a regression model based on the data with and without detrending. Regression coefficients derived from the detrended data reflect only the temperature effect, whereas those derived from data without detrending represent a combined effect of temperature and confounding cultivar shifts. Results indicate that the regression coefficients calculated from the data with and without detrending show an average shortening of the growth duration of 4.1–4.4 days for each additional increase in temperature over the full growth cycle. Using the detrended data, 95.0% of the data series exhibited a negative correlation between the growth duration length and temperature; this correlation was significant in 61.9% of all of the data series. We then compared the difference between the two regression coefficients calculated from data with and without detrending and found a significantly greater temperature sensitivity using the data without detrending (−2.9 days °C−1) than that derived from the detrended data (−2.0 days °C−1) in the period of emergence to heading for the late rice, producing a negative difference in temperature sensitivity (−0.9 days °C−1). This implies that short‐duration cultivars were planted with increase in temperature and exacerbated the undesired phenological change. In contrast, positive differences were detected for the single (0.6 days °C−1) and early rice (0.5 days °C−1) over the full growth cycle, which might indicate that long‐duration cultivars were favoured with climate warming, but these differences were insignificant. In summary, our results suggest that a major, temperature induced change in the rice growth duration is underway in China and that using a short‐duration cultivar has been accelerating the process for late rice. |
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| AbstractList | An extensive dataset on rice phenology in China, including 202 series broadly covering the past three decades (1980s-2000s), was compiled. From these data, we estimated the responses of growth duration length to temperature using a regression model based on the data with and without detrending. Regression coefficients derived from the detrended data reflect only the temperature effect, whereas those derived from data without detrending represent a combined effect of temperature and confounding cultivar shifts. Results indicate that the regression coefficients calculated from the data with and without detrending show an average shortening of the growth duration of 4.1-4.4 days for each additional increase in temperature over the full growth cycle. Using the detrended data, 95.0% of the data series exhibited a negative correlation between the growth duration length and temperature; this correlation was significant in 61.9% of all of the data series. We then compared the difference between the two regression coefficients calculated from data with and without detrending and found a significantly greater temperature sensitivity using the data without detrending (-2.9 days °C-1) than that derived from the detrended data (-2.0 days °C-1) in the period of emergence to heading for the late rice, producing a negative difference in temperature sensitivity (-0.9 days °C-1). This implies that short-duration cultivars were planted with increase in temperature and exacerbated the undesired phenological change. In contrast, positive differences were detected for the single (0.6 days °C-1) and early rice (0.5 days °C-1) over the full growth cycle, which might indicate that long-duration cultivars were favoured with climate warming, but these differences were insignificant. In summary, our results suggest that a major, temperature induced change in the rice growth duration is underway in China and that using a short-duration cultivar has been accelerating the process for late rice. [PUBLICATION ABSTRACT] An extensive dataset on rice phenology in China, including 202 series broadly covering the past three decades (1980s–2000s), was compiled. From these data, we estimated the responses of growth duration length to temperature using a regression model based on the data with and without detrending. Regression coefficients derived from the detrended data reflect only the temperature effect, whereas those derived from data without detrending represent a combined effect of temperature and confounding cultivar shifts. Results indicate that the regression coefficients calculated from the data with and without detrending show an average shortening of the growth duration of 4.1–4.4 days for each additional increase in temperature over the full growth cycle. Using the detrended data, 95.0% of the data series exhibited a negative correlation between the growth duration length and temperature; this correlation was significant in 61.9% of all of the data series. We then compared the difference between the two regression coefficients calculated from data with and without detrending and found a significantly greater temperature sensitivity using the data without detrending (−2.9 days °C −1 ) than that derived from the detrended data (−2.0 days °C −1 ) in the period of emergence to heading for the late rice, producing a negative difference in temperature sensitivity (−0.9 days °C −1 ). This implies that short‐duration cultivars were planted with increase in temperature and exacerbated the undesired phenological change. In contrast, positive differences were detected for the single (0.6 days °C −1 ) and early rice (0.5 days °C −1 ) over the full growth cycle, which might indicate that long‐duration cultivars were favoured with climate warming, but these differences were insignificant. In summary, our results suggest that a major, temperature induced change in the rice growth duration is underway in China and that using a short‐duration cultivar has been accelerating the process for late rice. An extensive dataset on rice phenology in China, including 202 series broadly covering the past three decades (1980s-2000s), was compiled. From these data, we estimated the responses of growth duration length to temperature using a regression model based on the data with and without detrending. Regression coefficients derived from the detrended data reflect only the temperature effect, whereas those derived from data without detrending represent a combined effect of temperature and confounding cultivar shifts. Results indicate that the regression coefficients calculated from the data with and without detrending show an average shortening of the growth duration of 4.1-4.4 days for each additional increase in temperature over the full growth cycle. Using the detrended data, 95.0% of the data series exhibited a negative correlation between the growth duration length and temperature; this correlation was significant in 61.9% of all of the data series. We then compared the difference between the two regression coefficients calculated from data with and without detrending and found a significantly greater temperature sensitivity using the data without detrending (-2.9 days degree C-1) than that derived from the detrended data (-2.0 days degree C-1) in the period of emergence to heading for the late rice, producing a negative difference in temperature sensitivity (-0.9 days degree C-1). This implies that short-duration cultivars were planted with increase in temperature and exacerbated the undesired phenological change. In contrast, positive differences were detected for the single (0.6 days degree C-1) and early rice (0.5 days degree C-1) over the full growth cycle, which might indicate that long-duration cultivars were favoured with climate warming, but these differences were insignificant. In summary, our results suggest that a major, temperature induced change in the rice growth duration is underway in China and that using a short-duration cultivar has been accelerating the process for late rice. An extensive dataset on rice phenology in China, including 202 series broadly covering the past three decades (1980s-2000s), was compiled. From these data, we estimated the responses of growth duration length to temperature using a regression model based on the data with and without detrending. Regression coefficients derived from the detrended data reflect only the temperature effect, whereas those derived from data without detrending represent a combined effect of temperature and confounding cultivar shifts. Results indicate that the regression coefficients calculated from the data with and without detrending show an average shortening of the growth duration of 4.1-4.4 days for each additional increase in temperature over the full growth cycle. Using the detrended data, 95.0% of the data series exhibited a negative correlation between the growth duration length and temperature; this correlation was significant in 61.9% of all of the data series. We then compared the difference between the two regression coefficients calculated from data with and without detrending and found a significantly greater temperature sensitivity using the data without detrending (-2.9 days °C(-1) ) than that derived from the detrended data (-2.0 days °C(-1) ) in the period of emergence to heading for the late rice, producing a negative difference in temperature sensitivity (-0.9 days °C(-1) ). This implies that short-duration cultivars were planted with increase in temperature and exacerbated the undesired phenological change. In contrast, positive differences were detected for the single (0.6 days °C(-1) ) and early rice (0.5 days °C(-1) ) over the full growth cycle, which might indicate that long-duration cultivars were favoured with climate warming, but these differences were insignificant. In summary, our results suggest that a major, temperature induced change in the rice growth duration is underway in China and that using a short-duration cultivar has been accelerating the process for late rice. An extensive dataset on rice phenology in China, including 202 series broadly covering the past three decades (1980s–2000s), was compiled. From these data, we estimated the responses of growth duration length to temperature using a regression model based on the data with and without detrending. Regression coefficients derived from the detrended data reflect only the temperature effect, whereas those derived from data without detrending represent a combined effect of temperature and confounding cultivar shifts. Results indicate that the regression coefficients calculated from the data with and without detrending show an average shortening of the growth duration of 4.1–4.4 days for each additional increase in temperature over the full growth cycle. Using the detrended data, 95.0% of the data series exhibited a negative correlation between the growth duration length and temperature; this correlation was significant in 61.9% of all of the data series. We then compared the difference between the two regression coefficients calculated from data with and without detrending and found a significantly greater temperature sensitivity using the data without detrending (−2.9 days °C−1) than that derived from the detrended data (−2.0 days °C−1) in the period of emergence to heading for the late rice, producing a negative difference in temperature sensitivity (−0.9 days °C−1). This implies that short‐duration cultivars were planted with increase in temperature and exacerbated the undesired phenological change. In contrast, positive differences were detected for the single (0.6 days °C−1) and early rice (0.5 days °C−1) over the full growth cycle, which might indicate that long‐duration cultivars were favoured with climate warming, but these differences were insignificant. In summary, our results suggest that a major, temperature induced change in the rice growth duration is underway in China and that using a short‐duration cultivar has been accelerating the process for late rice. An extensive dataset on rice phenology in China, including 202 series broadly covering the past three decades (1980s-2000s), was compiled. From these data, we estimated the responses of growth duration length to temperature using a regression model based on the data with and without detrending. Regression coefficients derived from the detrended data reflect only the temperature effect, whereas those derived from data without detrending represent a combined effect of temperature and confounding cultivar shifts. Results indicate that the regression coefficients calculated from the data with and without detrending show an average shortening of the growth duration of 4.1-4.4 days for each additional increase in temperature over the full growth cycle. Using the detrended data, 95.0% of the data series exhibited a negative correlation between the growth duration length and temperature; this correlation was significant in 61.9% of all of the data series. We then compared the difference between the two regression coefficients calculated from data with and without detrending and found a significantly greater temperature sensitivity using the data without detrending (-2.9 days °C(-1) ) than that derived from the detrended data (-2.0 days °C(-1) ) in the period of emergence to heading for the late rice, producing a negative difference in temperature sensitivity (-0.9 days °C(-1) ). This implies that short-duration cultivars were planted with increase in temperature and exacerbated the undesired phenological change. In contrast, positive differences were detected for the single (0.6 days °C(-1) ) and early rice (0.5 days °C(-1) ) over the full growth cycle, which might indicate that long-duration cultivars were favoured with climate warming, but these differences were insignificant. In summary, our results suggest that a major, temperature induced change in the rice growth duration is underway in China and that using a short-duration cultivar has been accelerating the process for late rice.An extensive dataset on rice phenology in China, including 202 series broadly covering the past three decades (1980s-2000s), was compiled. From these data, we estimated the responses of growth duration length to temperature using a regression model based on the data with and without detrending. Regression coefficients derived from the detrended data reflect only the temperature effect, whereas those derived from data without detrending represent a combined effect of temperature and confounding cultivar shifts. Results indicate that the regression coefficients calculated from the data with and without detrending show an average shortening of the growth duration of 4.1-4.4 days for each additional increase in temperature over the full growth cycle. Using the detrended data, 95.0% of the data series exhibited a negative correlation between the growth duration length and temperature; this correlation was significant in 61.9% of all of the data series. We then compared the difference between the two regression coefficients calculated from data with and without detrending and found a significantly greater temperature sensitivity using the data without detrending (-2.9 days °C(-1) ) than that derived from the detrended data (-2.0 days °C(-1) ) in the period of emergence to heading for the late rice, producing a negative difference in temperature sensitivity (-0.9 days °C(-1) ). This implies that short-duration cultivars were planted with increase in temperature and exacerbated the undesired phenological change. In contrast, positive differences were detected for the single (0.6 days °C(-1) ) and early rice (0.5 days °C(-1) ) over the full growth cycle, which might indicate that long-duration cultivars were favoured with climate warming, but these differences were insignificant. In summary, our results suggest that a major, temperature induced change in the rice growth duration is underway in China and that using a short-duration cultivar has been accelerating the process for late rice. |
| Author | Zhang, Tianyi Yang, Xiaoguang Huang, Yao |
| Author_xml | – sequence: 1 givenname: Tianyi surname: Zhang fullname: Zhang, Tianyi email: zhangty@mail.iap.ac.cn organization: State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, 100029, Beijing, China – sequence: 2 givenname: Yao surname: Huang fullname: Huang, Yao organization: State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, 100093, Beijing, China – sequence: 3 givenname: Xiaoguang surname: Yang fullname: Yang, Xiaoguang organization: College of Resources and Environmental Sciences, China Agricultural University, 100094, Beijing, China |
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| Copyright | 2012 Blackwell Publishing Ltd 2014 INIST-CNRS 2012 Blackwell Publishing Ltd. Copyright © 2013 Blackwell Publishing Ltd |
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| Keywords | Warming Monocotyledones Growth climate warming Duration Dynamical climatology Climate change Oryza Gramineae Angiospermae growth duration length short-duration cultivar Spermatophyta cultivar shifts Cultivar Rice |
| Language | English |
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| Notes | istex:27228FFFE7134F9BD470AD11E7F22AE91E134666 National Natural Science Foundation of China - No. 41021004 ark:/67375/WNG-NR13N7QQ-F Appendix S1. Summary of Agrometeorological Experimental Station used in this study. ArticleID:GCB12057 Ministry of Science and Technology of China - No. 2010CB951502 Chinese Academy of Sciences - No. GJHZ1204 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-2 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
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| References | Aggarwal PK, Mall RK (2002) Climate change and rice yields in diverse agro-environments of India. II. Effect of uncertainties in scenarios and crop models on impact assessment. Climatic Change, 52, 331-343. Webb LB, Whetton PH, Barlow EW et al. (2011) Observed trends in winegrape maturity in Australia. Global Change Biology, 17, 2707-2719. Estrella N, Sparks TH, Menzel A (2007) Trends and temperature response in the phenology of crops in Germany. Global Change Biology, 13, 1737-1747. Thornton P, Running S, White M (1997) Generating surfaces of daily meteorological variables over large regions of complex terrain. Journal of Hydrology, 190, 214-251. Doi H, Takahashi M, Katano I (2010) Genetic diversity increases regional variation in phenological dates in response to climate change. Global Change Biology, 16, 373-379. Menzel A, Sparks TH, Estrella N et al. (2006) European phenological response to climate change matches the warming pattern. Global Change Biology, 12, 1969-1976. Hu Q, Weiss A, Feng S et al. (2005) Earlier winter wheat heading dates and warmer spring in the US Great Plains. Agricultural and Forest Meteorology, 135, 284-290. Jagadish SVK, Septiningsih EM, Kohli A et al. (2012) Genetic advances in adapting rice to a rapidly changing climate. Journal of Agronomy and Crop Science, 198, 360-373. Menzel A, Estrella N, Testka A (2005) Temperature response rates from long-term phenological records. Climate Research, 30, 21-28. Lobell DB, Sibley A, Ivan Ortiz-Monasterio J (2012) Extreme heat effects on wheat senescence in India. Nature Climate Change, 2, 186-189. Matthews RB, Kropff MJ, Horie T et al. (1997) Simulating the impact of climate change on rice production in Asia and evaluating options for adaptation. Agricultural Systems, 54, 399-425. Yao F, Xu Y, Lin E et al. (2007) Assessing the impacts of climate change on rice yields in the main rice areas of China. Climatic Change, 80, 395-409. Liu L, Wang E, Zhu Y et al. (2012) Contrasting effects of warming and autonomous breeding on single-rice productivity in China. Agriculture, Ecosystems and Environment, 149, 20-29. Craufurd PQ, Wheeler TR (2009) Climate change and the flowering time of annual crops. Journal of Experimental Botany, 60, 2529-2539. Peng S, Khush GS, Virk P et al. (2008) Progress in ideotype breeding to increase rice yield potential. Field Crops Research, 108, 32-38. Summerfield RJ, Collinson ST, Ellis RH et al. (1992) Photothermal responses of flowering in rice (Oryza sativa). Annuals of Botany, 69, 101-112. Adams RM, Rosenzweig C, Peart RM et al. (1990) Global climate change and US agriculture. Nature, 345, 219-224. Ibanez I, Primack RB, Miller-Rushing AJ et al. (2010) Forecasting phenology under global warming. Philosophical Transactions of the Royal Society B, 365, 3247-3260. Siebert S, Ewert F (2012) Spatio-temporal patterns of phenological development in Germany in relation to temperature and day length. Agricultural and Forest Meteorology, 152, 44-57. Tao F, Yokozawa M, Xu Y et al. (2006) Climate changes and trends in phenology and yields of field crops in China, 1981-2000. Agricultural and Forest Meteorology, 138, 82-92. De Vries ME, Leffelaar PA, Sakane N et al. (2011) Adaptability of irrigated rice to temperature change in Sahelian environments. Experimental Agriculture, 47, 69-87. Nagarajan S, Jagadish SVK, Prasad ASH et al. (2010) Local climate affects growth, yield, and grain quality of aromatic and nonaromatic rice in northwestern India. Agriculture, Ecosystems and Environment, 138, 274-281. Yin X, Kropff MJ, Goudriaan J (1996) Differential effects of day and night temperature on development to flowering in rice. Annuals of Botany, 77, 203-213. R Development Core Team (2011) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, Available at: http://www.R-project.org/. Kim J, Shon J, Lee CK et al. (2011) Relationship between grain filling duration and leaf senscence of temperature rice under high temperature. Field Crops Research, 112, 207-213. Li Z, Tang H, Yang P et al. (2012) Spatio-temporal responses of cropland phenophases to climate change in Northeast China. Journal of Geographical Sciences, 22, 29-45. Askeyev OV, Sparks TH, Askeyev IV et al. (2010) East versus west: contrasts in phenological patterns. Global Ecology and Biogeography, 19, 783-793. Fujisawa M, Kobayashi K (2010) Apple (Malus pumila var. domestica) phenology is advancing due to rising air temperature in northern Japan. Global Change Biology, 16, 2651-2660. Gordo O, Sanz JJ (2010) Impact of climate change on plant phenology in Mediterranean ecosystems. Global Change Biology, 16, 1082-1106. Liu Y, Wang E, Yang X et al. (2010) Contributions of climatic and crop varietal changes to crop production in the North China Plain, since 1980. Global Change Biology, 16, 2287-2299. Sacks WJ, Kucharik CJ (2011) Crop management and phenology trends in the U.S. Corn Belt: impacts on yields, evapotranspiration and energy balance. Agricultural and Forest Meteorology, 151, 882-894. 2010; 16 1990; 345 2002; 52 2006; 12 2010; 19 2011 2009; 60 2005; 135 2010; 365 2008; 108 2008 2006; 138 2011; 17 2011; 151 2012; 149 2007; 13 2011; 112 1996; 77 2012; 152 2012; 198 2012; 2 1997; 54 2010; 138 2005; 30 2007; 80 1992; 69 1997; 190 2011; 47 2012; 22 e_1_2_6_32_1 e_1_2_6_10_1 e_1_2_6_31_1 e_1_2_6_30_1 e_1_2_6_19_1 R Development Core Team (e_1_2_6_24_1) 2011 e_1_2_6_13_1 e_1_2_6_14_1 e_1_2_6_11_1 e_1_2_6_12_1 e_1_2_6_33_1 e_1_2_6_17_1 e_1_2_6_18_1 e_1_2_6_15_1 e_1_2_6_16_1 e_1_2_6_21_1 e_1_2_6_20_1 e_1_2_6_9_1 e_1_2_6_8_1 e_1_2_6_5_1 e_1_2_6_4_1 e_1_2_6_7_1 e_1_2_6_6_1 e_1_2_6_25_1 e_1_2_6_3_1 e_1_2_6_23_1 e_1_2_6_2_1 e_1_2_6_22_1 e_1_2_6_29_1 e_1_2_6_28_1 e_1_2_6_27_1 e_1_2_6_26_1 |
| References_xml | – reference: Askeyev OV, Sparks TH, Askeyev IV et al. (2010) East versus west: contrasts in phenological patterns. Global Ecology and Biogeography, 19, 783-793. – reference: Webb LB, Whetton PH, Barlow EW et al. (2011) Observed trends in winegrape maturity in Australia. Global Change Biology, 17, 2707-2719. – reference: Doi H, Takahashi M, Katano I (2010) Genetic diversity increases regional variation in phenological dates in response to climate change. Global Change Biology, 16, 373-379. – reference: Jagadish SVK, Septiningsih EM, Kohli A et al. (2012) Genetic advances in adapting rice to a rapidly changing climate. Journal of Agronomy and Crop Science, 198, 360-373. – reference: Thornton P, Running S, White M (1997) Generating surfaces of daily meteorological variables over large regions of complex terrain. Journal of Hydrology, 190, 214-251. – reference: Hu Q, Weiss A, Feng S et al. (2005) Earlier winter wheat heading dates and warmer spring in the US Great Plains. Agricultural and Forest Meteorology, 135, 284-290. – reference: Nagarajan S, Jagadish SVK, Prasad ASH et al. (2010) Local climate affects growth, yield, and grain quality of aromatic and nonaromatic rice in northwestern India. Agriculture, Ecosystems and Environment, 138, 274-281. – reference: Kim J, Shon J, Lee CK et al. (2011) Relationship between grain filling duration and leaf senscence of temperature rice under high temperature. Field Crops Research, 112, 207-213. – reference: Li Z, Tang H, Yang P et al. (2012) Spatio-temporal responses of cropland phenophases to climate change in Northeast China. Journal of Geographical Sciences, 22, 29-45. – reference: Peng S, Khush GS, Virk P et al. (2008) Progress in ideotype breeding to increase rice yield potential. Field Crops Research, 108, 32-38. – reference: Tao F, Yokozawa M, Xu Y et al. (2006) Climate changes and trends in phenology and yields of field crops in China, 1981-2000. Agricultural and Forest Meteorology, 138, 82-92. – reference: Fujisawa M, Kobayashi K (2010) Apple (Malus pumila var. domestica) phenology is advancing due to rising air temperature in northern Japan. Global Change Biology, 16, 2651-2660. – reference: Yin X, Kropff MJ, Goudriaan J (1996) Differential effects of day and night temperature on development to flowering in rice. Annuals of Botany, 77, 203-213. – reference: Aggarwal PK, Mall RK (2002) Climate change and rice yields in diverse agro-environments of India. II. Effect of uncertainties in scenarios and crop models on impact assessment. Climatic Change, 52, 331-343. – reference: Menzel A, Sparks TH, Estrella N et al. (2006) European phenological response to climate change matches the warming pattern. Global Change Biology, 12, 1969-1976. – reference: Sacks WJ, Kucharik CJ (2011) Crop management and phenology trends in the U.S. Corn Belt: impacts on yields, evapotranspiration and energy balance. Agricultural and Forest Meteorology, 151, 882-894. – reference: R Development Core Team (2011) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, Available at: http://www.R-project.org/. – reference: Yao F, Xu Y, Lin E et al. (2007) Assessing the impacts of climate change on rice yields in the main rice areas of China. Climatic Change, 80, 395-409. – reference: Ibanez I, Primack RB, Miller-Rushing AJ et al. (2010) Forecasting phenology under global warming. Philosophical Transactions of the Royal Society B, 365, 3247-3260. – reference: Craufurd PQ, Wheeler TR (2009) Climate change and the flowering time of annual crops. Journal of Experimental Botany, 60, 2529-2539. – reference: Liu L, Wang E, Zhu Y et al. (2012) Contrasting effects of warming and autonomous breeding on single-rice productivity in China. Agriculture, Ecosystems and Environment, 149, 20-29. – reference: Adams RM, Rosenzweig C, Peart RM et al. (1990) Global climate change and US agriculture. Nature, 345, 219-224. – reference: De Vries ME, Leffelaar PA, Sakane N et al. (2011) Adaptability of irrigated rice to temperature change in Sahelian environments. Experimental Agriculture, 47, 69-87. – reference: Lobell DB, Sibley A, Ivan Ortiz-Monasterio J (2012) Extreme heat effects on wheat senescence in India. Nature Climate Change, 2, 186-189. – reference: Matthews RB, Kropff MJ, Horie T et al. (1997) Simulating the impact of climate change on rice production in Asia and evaluating options for adaptation. Agricultural Systems, 54, 399-425. – reference: Siebert S, Ewert F (2012) Spatio-temporal patterns of phenological development in Germany in relation to temperature and day length. Agricultural and Forest Meteorology, 152, 44-57. – reference: Summerfield RJ, Collinson ST, Ellis RH et al. (1992) Photothermal responses of flowering in rice (Oryza sativa). Annuals of Botany, 69, 101-112. – reference: Menzel A, Estrella N, Testka A (2005) Temperature response rates from long-term phenological records. Climate Research, 30, 21-28. – reference: Estrella N, Sparks TH, Menzel A (2007) Trends and temperature response in the phenology of crops in Germany. Global Change Biology, 13, 1737-1747. – reference: Gordo O, Sanz JJ (2010) Impact of climate change on plant phenology in Mediterranean ecosystems. Global Change Biology, 16, 1082-1106. – reference: Liu Y, Wang E, Yang X et al. (2010) Contributions of climatic and crop varietal changes to crop production in the North China Plain, since 1980. Global Change Biology, 16, 2287-2299. – volume: 138 start-page: 274 year: 2010 end-page: 281 article-title: Local climate affects growth, yield, and grain quality of aromatic and nonaromatic rice in northwestern India publication-title: Agriculture, Ecosystems and Environment – year: 2011 – volume: 138 start-page: 82 year: 2006 end-page: 92 article-title: Climate changes and trends in phenology and yields of field crops in China, 1981–2000 publication-title: Agricultural and Forest Meteorology – volume: 149 start-page: 20 year: 2012 end-page: 29 article-title: Contrasting effects of warming and autonomous breeding on single‐rice productivity in China publication-title: Agriculture, Ecosystems and Environment – volume: 47 start-page: 69 year: 2011 end-page: 87 article-title: Adaptability of irrigated rice to temperature change in Sahelian environments publication-title: Experimental Agriculture – volume: 2 start-page: 186 year: 2012 end-page: 189 article-title: Extreme heat effects on wheat senescence in India publication-title: Nature Climate Change – volume: 190 start-page: 214 year: 1997 end-page: 251 article-title: Generating surfaces of daily meteorological variables over large regions of complex terrain publication-title: Journal of Hydrology – volume: 16 start-page: 373 year: 2010 end-page: 379 article-title: Genetic diversity increases regional variation in phenological dates in response to climate change publication-title: Global Change Biology – volume: 16 start-page: 1082 year: 2010 end-page: 1106 article-title: Impact of climate change on plant phenology in Mediterranean ecosystems publication-title: Global Change Biology – volume: 135 start-page: 284 year: 2005 end-page: 290 article-title: Earlier winter wheat heading dates and warmer spring in the US Great Plains publication-title: Agricultural and Forest Meteorology – volume: 77 start-page: 203 year: 1996 end-page: 213 article-title: Differential effects of day and night temperature on development to flowering in rice publication-title: Annuals of Botany – volume: 152 start-page: 44 year: 2012 end-page: 57 article-title: Spatio‐temporal patterns of phenological development in Germany in relation to temperature and day length publication-title: Agricultural and Forest Meteorology – volume: 19 start-page: 783 year: 2010 end-page: 793 article-title: East versus west: contrasts in phenological patterns publication-title: Global Ecology and Biogeography – volume: 151 start-page: 882 year: 2011 end-page: 894 article-title: Crop management and phenology trends in the U.S. Corn Belt: impacts on yields, evapotranspiration and energy balance publication-title: Agricultural and Forest Meteorology – volume: 12 start-page: 1969 year: 2006 end-page: 1976 article-title: European phenological response to climate change matches the warming pattern publication-title: Global Change Biology – volume: 60 start-page: 2529 year: 2009 end-page: 2539 article-title: Climate change and the flowering time of annual crops publication-title: Journal of Experimental Botany – volume: 22 start-page: 29 year: 2012 end-page: 45 article-title: Spatio‐temporal responses of cropland phenophases to climate change in Northeast China publication-title: Journal of Geographical Sciences – volume: 30 start-page: 21 year: 2005 end-page: 28 article-title: Temperature response rates from long‐term phenological records publication-title: Climate Research – volume: 69 start-page: 101 year: 1992 end-page: 112 article-title: Photothermal responses of flowering in rice ( ) publication-title: Annuals of Botany – volume: 17 start-page: 2707 year: 2011 end-page: 2719 article-title: Observed trends in winegrape maturity in Australia publication-title: Global Change Biology – volume: 80 start-page: 395 year: 2007 end-page: 409 article-title: Assessing the impacts of climate change on rice yields in the main rice areas of China publication-title: Climatic Change – volume: 345 start-page: 219 year: 1990 end-page: 224 article-title: Global climate change and US agriculture publication-title: Nature – volume: 16 start-page: 2651 year: 2010 end-page: 2660 article-title: Apple ( ) phenology is advancing due to rising air temperature in northern Japan publication-title: Global Change Biology – volume: 16 start-page: 2287 year: 2010 end-page: 2299 article-title: Contributions of climatic and crop varietal changes to crop production in the North China Plain, since 1980 publication-title: Global Change Biology – volume: 54 start-page: 399 year: 1997 end-page: 425 article-title: Simulating the impact of climate change on rice production in Asia and evaluating options for adaptation publication-title: Agricultural Systems – volume: 108 start-page: 32 year: 2008 end-page: 38 article-title: Progress in ideotype breeding to increase rice yield potential publication-title: Field Crops Research – volume: 52 start-page: 331 year: 2002 end-page: 343 article-title: Climate change and rice yields in diverse agro‐environments of India. II. Effect of uncertainties in scenarios and crop models on impact assessment publication-title: Climatic Change – volume: 365 start-page: 3247 year: 2010 end-page: 3260 article-title: Forecasting phenology under global warming publication-title: Philosophical Transactions of the Royal Society B – year: 2008 – volume: 112 start-page: 207 year: 2011 end-page: 213 article-title: Relationship between grain filling duration and leaf senscence of temperature rice under high temperature publication-title: Field Crops Research – volume: 13 start-page: 1737 year: 2007 end-page: 1747 article-title: Trends and temperature response in the phenology of crops in Germany publication-title: Global Change Biology – volume: 198 start-page: 360 year: 2012 end-page: 373 article-title: Genetic advances in adapting rice to a rapidly changing climate publication-title: Journal of Agronomy and Crop Science – ident: e_1_2_6_2_1 doi: 10.1038/345219a0 – ident: e_1_2_6_30_1 doi: 10.1111/j.1365-2486.2011.02434.x – ident: e_1_2_6_5_1 doi: 10.1093/jxb/erp196 – ident: e_1_2_6_18_1 doi: 10.1038/nclimate1356 – ident: e_1_2_6_23_1 doi: 10.1016/j.fcr.2008.04.001 – ident: e_1_2_6_31_1 – ident: e_1_2_6_7_1 doi: 10.1111/j.1365-2486.2009.01993.x – ident: e_1_2_6_32_1 doi: 10.1007/s10584-006-9122-6 – ident: e_1_2_6_6_1 doi: 10.1017/S0014479710001328 – ident: e_1_2_6_8_1 doi: 10.1111/j.1365-2486.2007.01374.x – ident: e_1_2_6_26_1 doi: 10.1016/j.agrformet.2011.08.007 – ident: e_1_2_6_15_1 doi: 10.1007/s11442-012-0909-2 – ident: e_1_2_6_9_1 doi: 10.1111/j.1365-2486.2009.02126.x – ident: e_1_2_6_19_1 doi: 10.1016/S0308-521X(95)00060-I – ident: e_1_2_6_22_1 doi: 10.1016/j.agee.2010.05.012 – ident: e_1_2_6_17_1 doi: 10.1016/j.agee.2011.12.008 – ident: e_1_2_6_28_1 doi: 10.1016/j.agrformet.2006.03.014 – ident: e_1_2_6_20_1 doi: 10.3354/cr030021 – ident: e_1_2_6_12_1 doi: 10.1098/rstb.2010.0120 – ident: e_1_2_6_25_1 doi: 10.1016/j.agrformet.2011.02.010 – ident: e_1_2_6_10_1 doi: 10.1111/j.1365-2486.2009.02084.x – ident: e_1_2_6_13_1 doi: 10.1111/j.1439-037X.2012.00525.x – ident: e_1_2_6_3_1 doi: 10.1023/A:1013714506779 – volume-title: R: A language and environment for statistical computing year: 2011 ident: e_1_2_6_24_1 – ident: e_1_2_6_16_1 doi: 10.1111/j.1365-2486.2009.02077.x – ident: e_1_2_6_4_1 doi: 10.1111/j.1466-8238.2010.00566.x – ident: e_1_2_6_11_1 doi: 10.1016/j.agrformet.2006.01.001 – ident: e_1_2_6_29_1 doi: 10.1016/S0022-1694(96)03128-9 – ident: e_1_2_6_33_1 doi: 10.1006/anbo.1996.0024 – ident: e_1_2_6_14_1 doi: 10.1016/j.fcr.2011.03.014 – ident: e_1_2_6_27_1 doi: 10.1093/oxfordjournals.aob.a088314 – ident: e_1_2_6_21_1 doi: 10.1111/j.1365-2486.2006.01193.x |
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| Snippet | An extensive dataset on rice phenology in China, including 202 series broadly covering the past three decades (1980s–2000s), was compiled. From these data, we... An extensive dataset on rice phenology in China, including 202 series broadly covering the past three decades (1980s-2000s), was compiled. From these data, we... |
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| SubjectTerms | Animal and plant ecology Animal, plant and microbial ecology Biological and medical sciences China Climate Change climate warming Climatology. Bioclimatology. Climate change Crops, Agricultural - growth & development cultivar shifts Cultivars Earth, ocean, space Exact sciences and technology External geophysics Fundamental and applied biological sciences. Psychology General aspects Global warming growth duration length Meteorology Oryza - growth & development Oryza sativa Phenology Plant growth Rice short-duration cultivar Temperature Temperature effects |
| Title | Climate warming over the past three decades has shortened rice growth duration in China and cultivar shifts have further accelerated the process for late rice |
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