Sarah E. Manski, Yvonne Socolar, Ben Goldstein, Gina Pizzo, Zobaer Ahmed, Lawson Connor, H. Z. Cross, Katie Fettes, A McLauchlan, Leo Triet Pham, Frédéri Viens, Timothy M. Bowle. Diversified crop rotations mitigate agricultural losses from dry weather.. 2024. agriXiv.2024.00244
Diversified crop rotations mitigate agricultural losses from dry weather.
DOI: 10.31220/agriRxiv.2024.00244
Statement: This article is a preprint and has not been peer-reviewed. It reports new research that has yet to be evaluated and so should not be used to guide clinical practice.
-
Abstract: Abstract As changing climates create drought conditions with increasing frequency and severity, there is an urgent need for farmers to adopt agricultural systems that lower the risk of losses during drought. Diverse crop rotations have long been associated with a wide array of economic and environmental benefits, yet cropping systems in the US Midwest and across the world have been simplifying for over a century. Long-term experiments have shown potential for diverse rotations to avoid yield losses under dry conditions, and could be an impactful target in a region overwhelmingly dominated by corn-soy rotation. Here we use Bayesian modeling to show spatial patterns of yield benefits that result from increasing rotational diversity in a range of weather conditions. Data from over 2.2 million field-years reveal that diverse rotations decrease the risk of corn yield losses in dry years in areas that experience these conditions more frequently, while simultaneously increasing yields under favorable conditions across the region. The potential for yield risk mitigation described in the current analysis underscores the critical need for crop rotation adoption as changing climates threaten yield stability in the US and across the globe. We highlight areas where diverse rotations are most likely to improve yields and mitigate risk, amidst spatial heterogeneity in the magnitude of these benefits.
Key words: diverse; losses; rotations; region; changing climate; mitigatSubmit time: 19 April 2024
Copyright: The copyright holder for this preprint is the author/funder, who has granted agriXiv a license to display the preprint in perpetuity. -
图表
-
María‐Soledad Benítez, Patrick M. Ewing, Shannon L. Osborne, R. Michael Lehma. Rhizosphere microbial communities explain positive effects of diverse crop rotations on corn and soybean performance: microbiome explain benefits of diverse rotations.. 2020. doi: 10.31220/agriRxiv.2020.00023
Patrick M.,Ewing, Bee K.,Chim, R. Michael,Lehman, Shannon L.,Osborn. Surmounting the tradeoff between productivity and weather resilience in diversified grain rotations.. 2023. doi: 10.31220/agriRxiv.2023.00202
Alexa Varah, Kwadjo Ahodo, Dylan Z. Childs, David Comont, Laura Crook, Robert P. Freckleton, Rob Goodsell, Helen L. Hicks, Richard T. Hull, Paul Neve, Ken Norri. Managing herbicide resistance doesn't pay - but acting pre-emptively does.. 2023. doi: 10.31220/agriRxiv.2023.00183
Miranda Bane, Michael J. O. Pocock, Caroline Gibert, Matthieu Forster, Geoffroy Oudoire, Stéphane A. P. Derocles, David Boha. Farmer flexibility concerning future rotation planning is affected by the framing of climate predictions.. 2020. doi: 10.31220/agriRxiv.2020.00025
Erich,Seamon, Paul E.,Gessler, John T.,Abatzoglou, Philip W.,Mote, Stephen S.,Le. Climatic damage cause variations of agricultural insurance loss for the Pacific Northwest region of the United States.. 2023. doi: 10.31220/agriRxiv.2023.00209
Avraham Ben-Sheleg, Natalie De Falco, Uri Roll, Shimon Rachmilevitc. The contribution of the Gaza envelope region to Israel's food security.. 2024. doi: 10.31220/agriRxiv.2024.00235
Bryony Taylor, Jonathan D. Casey, Belinda Luke, Tim Beale, Joe Beeken, Steve Edgington, Rhian Whelan, Julien Godwi. EO4AgroClimate: improving modelling of pests and biological control agents to adapt to changing climates.. 2023. doi: 10.31220/agriRxiv.2023.00179
Rocío Portocarrero, Cristina Biaggi, Alejandro Valeir. Hidden nutrient leaks in agricultural soils: the case of grain residues and losses.. 2021. doi: 10.31220/agriRxiv.2021.00036
Timothy Frey, Daowen Huo, Melanie Medina, Branden C. Ritter, Laura E. Lindsey, Maria Soledad Benítez Ponc. Fungal communities associated with corn in a diverse long-term crop rotation in Ohio.. 2023. doi: 10.31220/agriRxiv.2023.00170
Ali Sina Jayhoon, Pushpendra Kuma. In-silico characterization and expression analysis of the Waxy gene in rice (Oryza sativa L.).. 2024. doi: 10.31220/agriRxiv.2024.00260
-
ID Submit time Number Download -
Public Anonymous To author only
Get Citation
Article Metrics
- Read: 69
- Download: 0
- Comment: 0
