The Experts below are selected from a list of 117 Experts worldwide ranked by ideXlab platform
Eviatar Nevo - One of the best experts on this subject based on the ideXlab platform.
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an rna sequencing transcriptome analysis of the high temperature stressed tall fescue reveals novel insights into plant thermotolerance
BMC Genomics, 2014Co-Authors: Xiaoyan Sun, Xunzhong Zhang, Eviatar NevoAbstract:Background Tall fescue (Festuca arundinacea Schreb.) is major cool-season forage and Turf grass species worldwide, but high-temperature is a major environmental stress that dramatically threaten forage production and Turf Management of tall fescue. However, very little is known about the whole-genome molecular mechanisms contributing to thermotolerance. The objectives of this study were to analyzed genome-wide gene expression profiles in the leaves of two tall fescue genotypes, heat tolerant ‘PI578718’ and heat sensitive ‘PI234881’ using high-throughput RNA sequencing.
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an rna sequencing transcriptome analysis of the high temperature stressed tall fescue reveals novel insights into plant thermotolerance
BMC Genomics, 2014Co-Authors: Xiaoyan Sun, Xunzhong Zhang, Eviatar NevoAbstract:Tall fescue (Festuca arundinacea Schreb.) is major cool-season forage and Turf grass species worldwide, but high-temperature is a major environmental stress that dramatically threaten forage production and Turf Management of tall fescue. However, very little is known about the whole-genome molecular mechanisms contributing to thermotolerance. The objectives of this study were to analyzed genome-wide gene expression profiles in the leaves of two tall fescue genotypes, heat tolerant ‘PI578718’ and heat sensitive ‘PI234881’ using high-throughput RNA sequencing. A total of 262 million high-quality paired-end reads were generated and assembled into 31,803 unigenes with an average length of 1,840 bp. Of these, 12,974 unigenes showed different expression patterns in response to heat stress and were categorized into 49 Gene Ontology functional subcategories. In addition, the variance of enrichment degree in each functional subcategory between PI578718 and PI234881 increased with increasing treatment time. Cell division and cell cycle genes showed a massive increase in transcript abundance in heat-stressed plants and more activated genes were detected in PI 578718 by Kyoto Encyclopedia of Genes and Genomes pathways analysis. Low molecular weight heat shock protein (LMW-HSP, HSP20) showed activated in two stressed genotypes and high molecular weight HSP (HMW-HSP, HSP90) just in PI578718. Assimilation such as photosynthesis, carbon fixation, CH4, N, S metabolism decreased along with increased dissimilation such as oxidative phosphorylation. The assembled transcriptome of tall fescue could serve as a global description of expressed genes and provide more molecular resources for future functional characterization analysis of genomics in cool-season Turfgrass in response to high-temperature. Increased cell division, LMW/HMW-HSP, dissimilation and antioxidant transcript amounts in tall fescue were correlated with successful resistance to high temperature stress.
Thomas Kätterer - One of the best experts on this subject based on the ideXlab platform.
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energy use and greenhouse gas emissions from Turf Management of two swedish golf courses
Urban Forestry & Urban Greening, 2017Co-Authors: Pernilla Tidaker, Therese Wesstrom, Thomas KättererAbstract:Turf Management on golf courses entails frequent maintenance activities, such as mowing, irrigation and fertilisation, and relies on purchased inputs for optimal performance and aesthetic quality. Using life cycle assessment (LCA) methodology, this study evaluated energy use and greenhouse gas (GHG) emissions from Management of two Swedish golf courses, divided into green, tee, fairway and rough, and identified options for improved Management. Energy use and GHG emissions per unit area were highest for greens, followed by tees, fairways and roughs. However, when considering the entire golf course, both energy use and GHG emissions were mainly related to fairway and rough maintenance due to their larger area. Emissions of GHG for the two golf courses were 1.0 and 1.6 Mg CO2e ha−1 year−1 as an area-weighted average, while the energy use was 14 and 19 GJ ha−1 year−1. Mowing was the most energy-consuming activity, contributing 21 and 27% of the primary energy use for the two golf courses. In addition, irrigation and manufacturing of mineral fertiliser and machinery resulted in considerable energy use. Mowing and emissions associated with fertilisation (manufacturing of N fertiliser and soil emissions of N2O occurring after application) contributed most to GHG emissions. Including the estimated mean annual soil C sequestration rate for fairway and rough in the assessment considerably reduced the carbon footprint for fairway and turned the rough into a sink for GHG. Emissions of N2O from decomposition of grass clippings may be a potential hotspot for GHG emissions, but the high spatial and temporal variability of values reported in the literature makes it difficult to estimate these emissions for specific Management regimes. Lowering the application rate of N mineral fertiliser, particularly on fairways, should be a high priority for golf courses trying to reduce their carbon footprint. However, measures must be adapted to the prevailing conditions at the specific golf course and the requirements set by golfers.
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energy use and greenhouse gas emissions from Turf Management of two swedish golf courses
Urban Forestry & Urban Greening, 2017Co-Authors: Pernilla Tidaker, Therese Wesstrom, Thomas KättererAbstract:Turf Management on golf courses entails frequent maintenance activities, such as mowing, irrigation and fertilisation, and relies on purchased inputs for optimal performance and aesthetic quality. Using life cycle assessment (LCA) methodology, this study evaluated energy use and greenhouse gas (GHG) emissions from Management of two Swedish golf courses, divided into green, tee, fairway and rough, and identified options for improved Management. Energy use and GHG emissions per unit area were highest for greens, followed by tees, fairways and roughs. However, when considering the entire golf course, both energy use and GHG emissions were mainly related to fairway and rough maintenance due to their larger area. Emissions of GHG for the two golf courses were 1.0 and 1.6 Mg CO2e ha−1 year−1 as an area-weighted average, while the energy use was 14 and 19 GJ ha−1 year−1. Mowing was the most energy-consuming activity, contributing 21 and 27% of the primary energy use for the two golf courses. In addition, irrigation and manufacturing of mineral fertiliser and machinery resulted in considerable energy use. Mowing and emissions associated with fertilisation (manufacturing of N fertiliser and soil emissions of N2O occurring after application) contributed most to GHG emissions. Including the estimated mean annual soil C sequestration rate for fairway and rough in the assessment considerably reduced the carbon footprint for fairway and turned the rough into a sink for GHG. Emissions of N2O from decomposition of grass clippings may be a potential hotspot for GHG emissions, but the high spatial and temporal variability of values reported in the literature makes it difficult to estimate these emissions for specific Management regimes. Lowering the application rate of N mineral fertiliser, particularly on fairways, should be a high priority for golf courses trying to reduce their carbon footprint. However, measures must be adapted to the prevailing conditions at the specific golf course and the requirements set by golfers.
Xiaoyan Sun - One of the best experts on this subject based on the ideXlab platform.
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an rna sequencing transcriptome analysis of the high temperature stressed tall fescue reveals novel insights into plant thermotolerance
BMC Genomics, 2014Co-Authors: Xiaoyan Sun, Xunzhong Zhang, Eviatar NevoAbstract:Background Tall fescue (Festuca arundinacea Schreb.) is major cool-season forage and Turf grass species worldwide, but high-temperature is a major environmental stress that dramatically threaten forage production and Turf Management of tall fescue. However, very little is known about the whole-genome molecular mechanisms contributing to thermotolerance. The objectives of this study were to analyzed genome-wide gene expression profiles in the leaves of two tall fescue genotypes, heat tolerant ‘PI578718’ and heat sensitive ‘PI234881’ using high-throughput RNA sequencing.
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an rna sequencing transcriptome analysis of the high temperature stressed tall fescue reveals novel insights into plant thermotolerance
BMC Genomics, 2014Co-Authors: Xiaoyan Sun, Xunzhong Zhang, Eviatar NevoAbstract:Tall fescue (Festuca arundinacea Schreb.) is major cool-season forage and Turf grass species worldwide, but high-temperature is a major environmental stress that dramatically threaten forage production and Turf Management of tall fescue. However, very little is known about the whole-genome molecular mechanisms contributing to thermotolerance. The objectives of this study were to analyzed genome-wide gene expression profiles in the leaves of two tall fescue genotypes, heat tolerant ‘PI578718’ and heat sensitive ‘PI234881’ using high-throughput RNA sequencing. A total of 262 million high-quality paired-end reads were generated and assembled into 31,803 unigenes with an average length of 1,840 bp. Of these, 12,974 unigenes showed different expression patterns in response to heat stress and were categorized into 49 Gene Ontology functional subcategories. In addition, the variance of enrichment degree in each functional subcategory between PI578718 and PI234881 increased with increasing treatment time. Cell division and cell cycle genes showed a massive increase in transcript abundance in heat-stressed plants and more activated genes were detected in PI 578718 by Kyoto Encyclopedia of Genes and Genomes pathways analysis. Low molecular weight heat shock protein (LMW-HSP, HSP20) showed activated in two stressed genotypes and high molecular weight HSP (HMW-HSP, HSP90) just in PI578718. Assimilation such as photosynthesis, carbon fixation, CH4, N, S metabolism decreased along with increased dissimilation such as oxidative phosphorylation. The assembled transcriptome of tall fescue could serve as a global description of expressed genes and provide more molecular resources for future functional characterization analysis of genomics in cool-season Turfgrass in response to high-temperature. Increased cell division, LMW/HMW-HSP, dissimilation and antioxidant transcript amounts in tall fescue were correlated with successful resistance to high temperature stress.
Pernilla Tidaker - One of the best experts on this subject based on the ideXlab platform.
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energy use and greenhouse gas emissions from Turf Management of two swedish golf courses
Urban Forestry & Urban Greening, 2017Co-Authors: Pernilla Tidaker, Therese Wesstrom, Thomas KättererAbstract:Turf Management on golf courses entails frequent maintenance activities, such as mowing, irrigation and fertilisation, and relies on purchased inputs for optimal performance and aesthetic quality. Using life cycle assessment (LCA) methodology, this study evaluated energy use and greenhouse gas (GHG) emissions from Management of two Swedish golf courses, divided into green, tee, fairway and rough, and identified options for improved Management. Energy use and GHG emissions per unit area were highest for greens, followed by tees, fairways and roughs. However, when considering the entire golf course, both energy use and GHG emissions were mainly related to fairway and rough maintenance due to their larger area. Emissions of GHG for the two golf courses were 1.0 and 1.6 Mg CO2e ha−1 year−1 as an area-weighted average, while the energy use was 14 and 19 GJ ha−1 year−1. Mowing was the most energy-consuming activity, contributing 21 and 27% of the primary energy use for the two golf courses. In addition, irrigation and manufacturing of mineral fertiliser and machinery resulted in considerable energy use. Mowing and emissions associated with fertilisation (manufacturing of N fertiliser and soil emissions of N2O occurring after application) contributed most to GHG emissions. Including the estimated mean annual soil C sequestration rate for fairway and rough in the assessment considerably reduced the carbon footprint for fairway and turned the rough into a sink for GHG. Emissions of N2O from decomposition of grass clippings may be a potential hotspot for GHG emissions, but the high spatial and temporal variability of values reported in the literature makes it difficult to estimate these emissions for specific Management regimes. Lowering the application rate of N mineral fertiliser, particularly on fairways, should be a high priority for golf courses trying to reduce their carbon footprint. However, measures must be adapted to the prevailing conditions at the specific golf course and the requirements set by golfers.
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energy use and greenhouse gas emissions from Turf Management of two swedish golf courses
Urban Forestry & Urban Greening, 2017Co-Authors: Pernilla Tidaker, Therese Wesstrom, Thomas KättererAbstract:Turf Management on golf courses entails frequent maintenance activities, such as mowing, irrigation and fertilisation, and relies on purchased inputs for optimal performance and aesthetic quality. Using life cycle assessment (LCA) methodology, this study evaluated energy use and greenhouse gas (GHG) emissions from Management of two Swedish golf courses, divided into green, tee, fairway and rough, and identified options for improved Management. Energy use and GHG emissions per unit area were highest for greens, followed by tees, fairways and roughs. However, when considering the entire golf course, both energy use and GHG emissions were mainly related to fairway and rough maintenance due to their larger area. Emissions of GHG for the two golf courses were 1.0 and 1.6 Mg CO2e ha−1 year−1 as an area-weighted average, while the energy use was 14 and 19 GJ ha−1 year−1. Mowing was the most energy-consuming activity, contributing 21 and 27% of the primary energy use for the two golf courses. In addition, irrigation and manufacturing of mineral fertiliser and machinery resulted in considerable energy use. Mowing and emissions associated with fertilisation (manufacturing of N fertiliser and soil emissions of N2O occurring after application) contributed most to GHG emissions. Including the estimated mean annual soil C sequestration rate for fairway and rough in the assessment considerably reduced the carbon footprint for fairway and turned the rough into a sink for GHG. Emissions of N2O from decomposition of grass clippings may be a potential hotspot for GHG emissions, but the high spatial and temporal variability of values reported in the literature makes it difficult to estimate these emissions for specific Management regimes. Lowering the application rate of N mineral fertiliser, particularly on fairways, should be a high priority for golf courses trying to reduce their carbon footprint. However, measures must be adapted to the prevailing conditions at the specific golf course and the requirements set by golfers.
Xunzhong Zhang - One of the best experts on this subject based on the ideXlab platform.
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an rna sequencing transcriptome analysis of the high temperature stressed tall fescue reveals novel insights into plant thermotolerance
BMC Genomics, 2014Co-Authors: Xiaoyan Sun, Xunzhong Zhang, Eviatar NevoAbstract:Background Tall fescue (Festuca arundinacea Schreb.) is major cool-season forage and Turf grass species worldwide, but high-temperature is a major environmental stress that dramatically threaten forage production and Turf Management of tall fescue. However, very little is known about the whole-genome molecular mechanisms contributing to thermotolerance. The objectives of this study were to analyzed genome-wide gene expression profiles in the leaves of two tall fescue genotypes, heat tolerant ‘PI578718’ and heat sensitive ‘PI234881’ using high-throughput RNA sequencing.
-
an rna sequencing transcriptome analysis of the high temperature stressed tall fescue reveals novel insights into plant thermotolerance
BMC Genomics, 2014Co-Authors: Xiaoyan Sun, Xunzhong Zhang, Eviatar NevoAbstract:Tall fescue (Festuca arundinacea Schreb.) is major cool-season forage and Turf grass species worldwide, but high-temperature is a major environmental stress that dramatically threaten forage production and Turf Management of tall fescue. However, very little is known about the whole-genome molecular mechanisms contributing to thermotolerance. The objectives of this study were to analyzed genome-wide gene expression profiles in the leaves of two tall fescue genotypes, heat tolerant ‘PI578718’ and heat sensitive ‘PI234881’ using high-throughput RNA sequencing. A total of 262 million high-quality paired-end reads were generated and assembled into 31,803 unigenes with an average length of 1,840 bp. Of these, 12,974 unigenes showed different expression patterns in response to heat stress and were categorized into 49 Gene Ontology functional subcategories. In addition, the variance of enrichment degree in each functional subcategory between PI578718 and PI234881 increased with increasing treatment time. Cell division and cell cycle genes showed a massive increase in transcript abundance in heat-stressed plants and more activated genes were detected in PI 578718 by Kyoto Encyclopedia of Genes and Genomes pathways analysis. Low molecular weight heat shock protein (LMW-HSP, HSP20) showed activated in two stressed genotypes and high molecular weight HSP (HMW-HSP, HSP90) just in PI578718. Assimilation such as photosynthesis, carbon fixation, CH4, N, S metabolism decreased along with increased dissimilation such as oxidative phosphorylation. The assembled transcriptome of tall fescue could serve as a global description of expressed genes and provide more molecular resources for future functional characterization analysis of genomics in cool-season Turfgrass in response to high-temperature. Increased cell division, LMW/HMW-HSP, dissimilation and antioxidant transcript amounts in tall fescue were correlated with successful resistance to high temperature stress.
