Simulating the Impacts of Climate Change on UH Manoa Lettuce (Lactuca sativa) Growth by Modifying Air Temperature, Soil Water Availability, and Atmospheric CO2 Concentration
Yos, N.; Mora, C.; Webster, K.; McDowell, K.
Show abstract
Plant species are adapted to survive under specific ranges of temperature, water availability, and atmospheric CO2 concentration. Climate change-induced shifts in these environmental conditions have the potential to significantly affect nearly all terrestrial plants. A number of studies have explored the impacts of changing one or two of the conditions listed above, but few have examined the combined effects of all three. To study the cumulative influences of the three environmental conditions, 350 M[a]noa lettuce (Lactuca sativa) plants were grown in indoor growth chambers. Within the chambers, plants were grown under varying degrees of CO2 concentration, water availability, and temperature for 21 days. At the end of this period, the leaf mass (biomass) of each plant was cut, dried, and weighed. Percent mortality and nitrogen content were also measured. Across all combinations of temperature and water availability, elevated CO2 concentrations were associated with increased biomass production and survival rates. Survival and biomass decreased under high temperatures and both high and low water availability. The combination of environmental conditions that produced the largest amount of biomass was 750 ppm CO2, 80% of soil water capacity, and 24 {degrees}C while the treatment that produced the least amount was ambient CO2, 60% of soil water capacity, and 36 {degrees}C. Nitrogen content increased under high temperatures and water availability. These results suggest that although increased atmospheric CO2 levels have the potential to promote lettuce growth, lettuce yield is still likely to decrease in many regions due to the negative effects of high temperatures, drought, and flooding.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- Elevated CO2 and warming change the nutrient status and use efficiency of Panicum maximum Jacq. 97%
- Seed encrusting with salicylic acid: a novel approach to improve establishment of grass species in ecological restoration 96%
- Light spectra modify nitrogen assimilation and nitrogen content in Quercus variabilis Blume seedling components: A bioassay with 15N pulses 96%
Similar papers in this journal
- Raspberry plant stress detection using hyperspectral imaging 96%
- Non-destructive, whole-plant phenotyping reveals dynamic changes in water use efficiency, photosynthesis efficiency, and rhizosphere acidification of sorghum accessions under osmotic stress 93%
- UAV Based Imaging Platform for Monitoring Maize Growth Throughout Development 93%
Similar papers in this journal
- Monitoring of drought stress and transpiration rate using proximal thermal and hyperspectral imaging in an indoor automated plant phenotyping platform 95%
- Accelerating leaf area measurement using a volumetric approach 94%
- Installation and imaging of thousands of minirhizotrons to phenotype root systems of field-grown plants 94%
Similar papers in this journal
- Impacts of environmental factors on seed germination and seedling emergence of white clover (Trifolium repens L.) 95%
- Gibberellins target shoot-root growth, morpho-physiological and molecular pathways to induce cadmium tolerance in mung bean 94%
- Marker-assisted introgression of multiple resistance genes confers broad spectrum resistance against bacterial leaf blight and blast diseases in Putra-1 rice variety 92%
Similar papers in this journal
- An integrative process-based model for biomass and yield estimation of hardneck garlic (Allium sativum) 96%
- Comparative analysis of machine learning and evolutionary optimization algorithms for precision tissue culture of Cannabis sativa: Prediction and validation of in vitro shoot growth and development based on the optimization of light and carbohydrate sources 95%
- Photoperiodic Flowering Response of Essential Oil, Grain, and Fiber Hemp (Cannabis sativa L.) Cultivars 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.