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Articles 1 - 7 of 7
Full-Text Articles in Life Sciences
Relative Salt Tolerance Of Seven Strawberry Cultivars, Youping Sun, Genhua Niu, Russ Wallace, Joseph Masabni, Mengmeng Gu
Relative Salt Tolerance Of Seven Strawberry Cultivars, Youping Sun, Genhua Niu, Russ Wallace, Joseph Masabni, Mengmeng Gu
Plants, Soils, and Climate Faculty Publications
Strawberry (Fragaria × ananassa) cultivars (“Albion”, “Benicia”, “Camarosa”, “Camino Real”, “Chandler”, “Radiance”, and “San Andreas”) were evaluated for salt tolerance in a greenhouse environment. Plants were irrigated with a nutrient solution with an electrical conductivity (EC) of 1.1 dS·m−1 (control) or a nutrient solution with the addition of salts (salt solution) with ECs of 2.2, 3.3, or 4.4 dS·m−1 for four months. Salinity reduced plant growth and fruit yield of strawberry; however, the magnitude of reduction varied with cultivar. For example, at an EC of 4.4 dS·m−1 , “Benicia” and “Chandler” had 39% and 44% less shoot dry weight (DW) …
Increasing Water Cycle Extremes In California And In Relation To Enso Cycle Under Global Warming, Jinho Yoon, Shih-Yu (Simon) Wang, Robert R. Gillies, Ben Kravitz, Lawrence E. Hipps, Philip J. Rasch
Increasing Water Cycle Extremes In California And In Relation To Enso Cycle Under Global Warming, Jinho Yoon, Shih-Yu (Simon) Wang, Robert R. Gillies, Ben Kravitz, Lawrence E. Hipps, Philip J. Rasch
Plants, Soils, and Climate Faculty Publications
Since the winter of 2013–2014, California has experienced its most severe drought in recorded history, causing statewide water stress, severe economic loss and an extraordinary increase in wildfires. Identifying the effects of global warming on regional water cycle extremes, such as the ongoing drought in California, remains a challenge. Here we analyse large-ensemble and multi-model simulations that project the future of water cycle extremes in California as well as to understand those associations that pertain to changing climate oscillations under global warming. Both intense drought and excessive flooding are projected to increase by at least 50% towards the end of …
Role Of The Strengthened El Nino Teleconnection In The May 2015 Floods Over The Southern Great Plains, S.-Y. Wang, W.-R. Huang, H.-H. Hsu, R. R. Gillies
Role Of The Strengthened El Nino Teleconnection In The May 2015 Floods Over The Southern Great Plains, S.-Y. Wang, W.-R. Huang, H.-H. Hsu, R. R. Gillies
Plants, Soils, and Climate Faculty Publications
The climate anomalies leading to the May 2015 floods in Texas and Oklahoma were analyzed in the context of El Niño teleconnection in a warmer climate. A developing El Niño tends to increase late-spring precipitation in the southern Great Plains, and this effect has intensified since 1980. Anthropogenic global warming contributed to the physical processes that caused the persistent precipitation in May 2015: Warming in the tropical Pacific acted to strengthen the teleconnection toward North America, modification of zonal wave 5 circulation that deepened the stationary trough west of Texas, and enhanced Great Plains low-level southerlies increasing moisture supply from …
Dzuds, Droughts, And Livestock Mortality In Mongolia, Mukund Palat Rao, Nicole K. Davi, Rosanne D. D'Arrigo, Jerry Skees, Baatarbileg Nachin, Caroline Leland, Bradfield Lyon, Shih-Yu (Simon) Wang, Oyunsanaa Byambasuren
Dzuds, Droughts, And Livestock Mortality In Mongolia, Mukund Palat Rao, Nicole K. Davi, Rosanne D. D'Arrigo, Jerry Skees, Baatarbileg Nachin, Caroline Leland, Bradfield Lyon, Shih-Yu (Simon) Wang, Oyunsanaa Byambasuren
Plants, Soils, and Climate Faculty Publications
Recent incidences of mass livestock mortality, known as dzud, have called into question the sustainability of pastoral nomadic herding, the cornerstone of Mongolian culture. A total of 20 million head of livestock perished in the mortality events of 2000–2002, and 2009–2010. To mitigate the effects of such events on the lives of herders, international agencies such as the World Bank are taking increasing interest in developing tailored market-based solutions like index-insurance. Their ultimate success depends on understanding the historical context and underlying causes of mortality. In this paper we examine mortality in 21 Mongolian aimags (provinces) between 1955 and 2013 …
Compost Carryover: Nitrogen Phosphorous And Ft-Ir Analysis Of Soil Organic Matter, Dave J. R. Olsen, Jeffrey B. Endelman, Astrid R. Jacobson, Jennifer R. Reeve
Compost Carryover: Nitrogen Phosphorous And Ft-Ir Analysis Of Soil Organic Matter, Dave J. R. Olsen, Jeffrey B. Endelman, Astrid R. Jacobson, Jennifer R. Reeve
Plants, Soils, and Climate Faculty Publications
Compost plays a central role in organic soil fertility plans but is bulky and costly to apply. Determining compost carryover is therefore important for cost-effective soil fertility planning. This study investigated two aspects of nutritive carryover [nitrogen and phosphorus (P)], and an indicator of non-nutritive carryover [soil organic matter (SOM)] to determine the residual effect of a one-time compost application applied at four rates in a corn-squash rotation. Crop yield was measured as an integrated carryover indicator of nutritive and non-nutritive effects. Functional groups of compost and SOM were investigated using FT-IR spectroscopy and soil organic carbon (SOC). While year …
Machine Learning For Predicting Soil Classes In Three Semi-Arid Landscapes, Colby W. Brungard, Janis L. Boettinger, Michael C. Duniway, Skye A. Wills, Thomas C. Edwards Jr.
Machine Learning For Predicting Soil Classes In Three Semi-Arid Landscapes, Colby W. Brungard, Janis L. Boettinger, Michael C. Duniway, Skye A. Wills, Thomas C. Edwards Jr.
Plants, Soils, and Climate Faculty Publications
Mapping the spatial distribution of soil taxonomic classes is important for informing soil use and management decisions. Digital soil mapping (DSM) can quantitatively predict the spatial distribution of soil taxonomic classes. Key components of DSM are the method and the set of environmental covariates used to predict soil classes. Machine learning is a general term for a broad set of statistical modeling techniques. Many different machine learning models have been applied in the literature and there are different approaches for selecting covariates for DSM. However, there is little guidance as to which, if any, machine learning model and covariate set …
Response Of Stomatal Density And Bound Gas Exchange In Leaves Of Maize To Soil Water Deficit, Wensai Zhao, Yonglin Sun, Roger Kjelgren, Xiping Liu
Response Of Stomatal Density And Bound Gas Exchange In Leaves Of Maize To Soil Water Deficit, Wensai Zhao, Yonglin Sun, Roger Kjelgren, Xiping Liu
Plants, Soils, and Climate Faculty Publications
Stomatal behavior in response to drought has been the focus of intensive research, but less attention has been paid to stomatal density. In this study, 5-week-old maize seedlings were exposed to different soil water contents. Stomatal density and size as well as leaf gas exchange were investigated after 2-, 4- and 6-weeks of treatment, which corresponded to the jointing, trumpeting, and filling stages of maize development. Results showed that new stomata were generated continually during leaf growth. Reduced soil water content significantly stimulated stomatal generation, resulting in a significant increase in stomatal density but a decrease in stomatal size and …