IDEAS home Printed from https://ideas.repec.org/r/nat/natcli/v3y2013i1d10.1038_nclimate1585.html
   My bibliography  Save this item

Adaptation of US maize to temperature variations

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Pires, Marcel Viana & Cunha, Dênis Antônio da, 2014. "Climate Change and Adaptive Strategies in Brazil: the economic effects of genetic breeding," Revista de Economia e Sociologia Rural (RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 52(4), January.
  2. Yaqin He & Brian J. Revell & Bofeng Leng & Zhongchao Feng, 2017. "The Effects of Weather on Oilseed Rape (OSR) Yield in China: Future Implications of Climate Change," Sustainability, MDPI, vol. 9(3), pages 1-14, March.
  3. Stephen Shaw & Dhaval Mehta & Susan Riha, 2014. "Using simple data experiments to explore the influence of non-temperature controls on maize yields in the mid-West and Great Plains," Climatic Change, Springer, vol. 122(4), pages 747-755, February.
  4. Bhaskar Jyoti Neog, 2022. "Temperature shocks and rural labour markets: evidence from India," Climatic Change, Springer, vol. 171(1), pages 1-20, March.
  5. Chonabayashi, Shun, 2014. "Accounting for Land Use Adaptation to Climate Change Impacts on US Agriculture," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170710, Agricultural and Applied Economics Association.
  6. Pin Wang & Zhao Zhang & Yi Chen & Xing Wei & Boyan Feng & Fulu Tao, 2016. "How much yield loss has been caused by extreme temperature stress to the irrigated rice production in China?," Climatic Change, Springer, vol. 134(4), pages 635-650, February.
  7. Cécile Couharde & Rémi Generoso, 2023. "The financial cost of stabilizing US farm income under climate change," EconomiX Working Papers 2023-18, University of Paris Nanterre, EconomiX.
  8. Etienne ESPAGNE & Yoro DIALLO & Sébastien MARCHAND, 2019. "Impacts of Extreme Climate Events on Technical Efficiency in Vietnamese Agriculture," Working Paper c1221ee7-5311-4af0-b1b4-3, Agence française de développement.
  9. Adloff, Susann, 2021. "Adapting to Climate Change: Threat Experience, Cognition and Protection Motivation," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242400, Verein für Socialpolitik / German Economic Association.
  10. Xinlei Hu & Zuliang Zhao & Lin Zhang & Zhe Liu & Shaoming Li & Xiaodong Zhang, 2019. "A High-Temperature Risk Assessment Model for Maize Based on MODIS LST," Sustainability, MDPI, vol. 11(23), pages 1-15, November.
  11. Xun Su & Minpeng Chen, 2022. "Econometric Approaches That Consider Farmers’ Adaptation in Estimating the Impacts of Climate Change on Agriculture: A Review," Sustainability, MDPI, vol. 14(21), pages 1-23, October.
  12. Zhang, Jing & Chen, Yi & Zhang, Zhao, 2020. "A remote sensing-based scheme to improve regional crop model calibration at sub-model component level," Agricultural Systems, Elsevier, vol. 181(C).
  13. Ran Wang & Yao Jiang & Peng Su & Jing’ai Wang, 2019. "Global Spatial Distributions of and Trends in Rice Exposure to High Temperature," Sustainability, MDPI, vol. 11(22), pages 1-53, November.
  14. Ariel Ortiz-Bobea, 2021. "Climate, Agriculture and Food," Papers 2105.12044, arXiv.org.
  15. Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2022. "Robust Dynamic Space-Time Panel Data Models Using ε-contamination: An Application to Crop Yields and Climate Change," Center for Policy Research Working Papers 254, Center for Policy Research, Maxwell School, Syracuse University.
  16. Balsher Singh Sidhu & Zia Mehrabi & Milind Kandlikar & Navin Ramankutty, 2022. "On the relative importance of climatic and non-climatic factors in crop yield models," Climatic Change, Springer, vol. 173(1), pages 1-21, July.
  17. Gaurav Arora & Hongli Feng & Christopher J. Anderson & David A. Hennessy, 2020. "Evidence of climate change impacts on crop comparative advantage and land use," Agricultural Economics, International Association of Agricultural Economists, vol. 51(2), pages 221-236, March.
  18. Yoro Diallo & Sébastien Marchand & Etienne Espagne, 2019. "Impacts of extreme events on technical efficiency in Vietnamese agriculture," CERDI Working papers halshs-02080285, HAL.
  19. Yoro Diallo & Sébastien Marchand & Etienne Espagne, 2019. "Impacts of extreme events on technical efficiency in Vietnamese agriculture," Working Papers halshs-02080285, HAL.
  20. Timothy Neal & Michael Keane, 2020. "Climate Change and U.S. Agriculture: Accounting for Multi-dimensional Slope Heterogeneity in Production Functions," Discussion Papers 2018-08a, School of Economics, The University of New South Wales.
  21. Yabin Da & Yangyang Xu & Bruce McCarl, 2022. "Effects of Surface Ozone and Climate on Historical (1980–2015) Crop Yields in the United States: Implication for Mid-21st Century Projection," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(2), pages 355-378, February.
  22. Haidong Zhao & Lina Zhang & M. B. Kirkham & Stephen M. Welch & John W. Nielsen-Gammon & Guihua Bai & Jiebo Luo & Daniel A. Andresen & Charles W. Rice & Nenghan Wan & Romulo P. Lollato & Dianfeng Zheng, 2022. "U.S. winter wheat yield loss attributed to compound hot-dry-windy events," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
  23. S. Block & B. Haile & L. You & D. Headey, 2022. "Heat shocks, maize yields, and child height in Tanzania," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(1), pages 93-109, February.
  24. Kamini Yadav & Hatim M. E. Geli, 2021. "Prediction of Crop Yield for New Mexico Based on Climate and Remote Sensing Data for the 1920–2019 Period," Land, MDPI, vol. 10(12), pages 1-27, December.
  25. Auffhammer, Maximilian, 2022. "Climate Adaptive Response Estimation: Short and long run impacts of climate change on residential electricity and natural gas consumption," Journal of Environmental Economics and Management, Elsevier, vol. 114(C).
  26. Pin Wang & Zhao Zhang & Xiao Song & Yi Chen & Xing Wei & Peijun Shi & Fulu Tao, 2014. "Temperature variations and rice yields in China: historical contributions and future trends," Climatic Change, Springer, vol. 124(4), pages 777-789, June.
  27. Pires, Marcel Viana & Cunha, Dênis Antônio da, 2014. "Climate Change and Adaptive Strategies in Brazil: the economic effects of genetic breeding," Brazilian Journal of Rural Economy and Sociology (Revista de Economia e Sociologia Rural-RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 52(4), pages 1-16, December.
  28. Pin Wang & Zhao Zhang & Yi Chen & Xing Wei & Boyan Feng & Fulu Tao, 2016. "How much yield loss has been caused by extreme temperature stress to the irrigated rice production in China?," Climatic Change, Springer, vol. 134(4), pages 635-650, February.
  29. Ivica Buhiniček & Dražen Kaučić & Zdravko Kozić & Mirko Jukić & Jerko Gunjača & Hrvoje Šarčević & Domagoj Stepinac & Domagoj Šimić, 2021. "Trends in Maize Grain Yields across Five Maturity Groups in a Long-Term Experiment with Changing Genotypes," Agriculture, MDPI, vol. 11(9), pages 1-10, September.
  30. Ashish Sharma & Subir Sen, 2022. "Droughts risk management strategies and determinants of preparedness: insights from Madhya Pradesh, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(2), pages 2243-2281, November.
  31. Jig Han Jeong & Jonathan P Resop & Nathaniel D Mueller & David H Fleisher & Kyungdahm Yun & Ethan E Butler & Dennis J Timlin & Kyo-Moon Shim & James S Gerber & Vangimalla R Reddy & Soo-Hyung Kim, 2016. "Random Forests for Global and Regional Crop Yield Predictions," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-15, June.
  32. Maximilian Auffhammer, 2018. "Climate Adaptive Response Estimation: Short And Long Run Impacts Of Climate Change On Residential Electricity and Natural Gas Consumption Using Big Data," NBER Working Papers 24397, National Bureau of Economic Research, Inc.
  33. Michael Keane & Timothy Neal, 2020. "Comparing deep neural network and econometric approaches to predicting the impact of climate change on agricultural yield," The Econometrics Journal, Royal Economic Society, vol. 23(3), pages 59-80.
  34. Jaqueline Oliveira & Bruno Palialol & Paula Pereda, 2021. "Do temperature shocks affect non-agriculture wages in Brazil? Evidence from individual-level panel data," Working Papers, Department of Economics 2021_13, University of São Paulo (FEA-USP).
  35. Geoffrey Heal & Jisung Park, 2016. "Editor's Choice Reflections—Temperature Stress and the Direct Impact of Climate Change: A Review of an Emerging Literature," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 10(2), pages 347-362.
  36. Ding, Yimin & Wang, Weiguang & Zhuang, Qianlai & Luo, Yufeng, 2020. "Adaptation of paddy rice in China to climate change: The effects of shifting sowing date on yield and irrigation water requirement," Agricultural Water Management, Elsevier, vol. 228(C).
  37. Pin Wang & Tangao Hu & Feng Kong & Dengrong Zhang, 2019. "Changes in the spatial pattern of rice exposure to heat stress in China over recent decades," Climatic Change, Springer, vol. 154(1), pages 229-240, May.
  38. Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2023. "Robust dynamic space–time panel data models using $$\varepsilon $$ ε -contamination: an application to crop yields and climate change," Empirical Economics, Springer, vol. 64(6), pages 2475-2509, June.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.