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- Alternate food (1)
- Alternative food (1)
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- Crop yield (1)
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- TMT-quantitative proteomics; chromatin remodeling; genome expression reprogramming; protein sumoylation; protein folding; transcription factors; selective gene transcription and translation; physiological stress (1)
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Articles 1 - 4 of 4
Full-Text Articles in Agriculture
Micronutrient Availability In Alternative Foods During Agricultural Catastrophes, David Denkenberger, Joshua M. Pearce
Micronutrient Availability In Alternative Foods During Agricultural Catastrophes, David Denkenberger, Joshua M. Pearce
Civil and Architectural Engineering Faculty Research
Several catastrophes could block the sun, including asteroid/comet impact, super volcanic eruption, and nuclear war with the burning of cities (nuclear winter). Previous work has analyzed alternate food supplies (e.g., mushrooms growing on dead trees, bacteria growing on natural gas). This was shown to be technically capable of feeding everyone with macronutrients (protein, carbohydrates, and lipids) and minerals, although economics and politics remain uncertain. The present work analyzes vitamin availability in such alternative food scenarios. The vitamin content of various alternate foods is compared to the US recommended daily allowance (RDA) as well as the average requirement defined by the …
Greenhouse Gas Emissions And Crop Yield In No-Tillage Systems: A Meta-Analysis, Yawen Huang, Wei Ren, Lixin Wang, Dafeng Hui, John H. Grove, Xiaojuan Yang, Bo Tao, Ben Goff
Greenhouse Gas Emissions And Crop Yield In No-Tillage Systems: A Meta-Analysis, Yawen Huang, Wei Ren, Lixin Wang, Dafeng Hui, John H. Grove, Xiaojuan Yang, Bo Tao, Ben Goff
Biology Faculty Research
No-tillage (NT) has been touted as one of several climate-smart agriculture (CSA) management practices that improve food security and enhance agroecosystem resilience to climate change. However, the sustainable effectiveness of NT greatly depends on trade-offs between NT-induced changes in crop yield and greenhouse gas (GHG, i.e. CH4, CO2, and N2O) emissions. Such trade-offs are regulated by climate fluctuations and heterogeneous soil conditions and have not been well addressed. Supporting CSA management decisions requires advancing our understanding of how NT affects crop yield and GHG emissions in different agroecological regions. In this study, a meta-analysis was conducted using 740 paired measurements …
Association Of Proteomics Changes With Al-Sensitive Root Zones In Switchgrass, Mahesh Rangu, Zhujia Ye, Sarabjit Bhatti, Suping Zhou, Yong Yang, Tara Fish, Theodore W. Thannhauser
Association Of Proteomics Changes With Al-Sensitive Root Zones In Switchgrass, Mahesh Rangu, Zhujia Ye, Sarabjit Bhatti, Suping Zhou, Yong Yang, Tara Fish, Theodore W. Thannhauser
Agricultural and Environmental Sciences Faculty Research
In this paper, we report on aluminum (Al)-induced root proteomic changes in switchgrass. After growth in a hydroponic culture system supplemented with 400 μM of Al, plants began to show signs of physiological stress such as a reduction in photosynthetic rate. At this time, the basal 2-cm long root tips were harvested and divided into two segments, each of 1-cm in length, for protein extraction. Al-induced changes in proteomes were identified using tandem mass tags mass spectrometry (TMT-MS)-based quantitative proteomics analysis. A total of 216 proteins (approximately 3.6% of total proteins) showed significant differences between non-Al treated control and treated …
Land Cover Land Use Mapping And Change Detection Analysis Using Geographic Information System And Remote Sensing, C. E. Akumu, S. Dennis, C. Reddy
Land Cover Land Use Mapping And Change Detection Analysis Using Geographic Information System And Remote Sensing, C. E. Akumu, S. Dennis, C. Reddy
Agricultural and Environmental Sciences Faculty Research
Land cover/land use categories are relevant components in land management. Understanding how land cover/land use change over time is necessary to assess the consequences of humans and natural stressors on the earth’s environment and resources. The aim of the study was to map and monitor the spatial and temporal change in land cover/land use for the periods of 1977, 1991 and 2016 and to predict change detection areas in Davidson County, Tennessee. The land cover/land use categories were classified using maximum likelihood algorithm and post classification comparison change detection analysis was performed. Classified image differencing technique was also used to …