Processed potato (Solanum tuberosum L.) products, such as chips and French fries, contribute to the dietary intake of acrylamide, a suspected human carcinogen. One of the most promising approaches for reducing its consumption is to develop and commercialize new potato varieties with low acrylamide-forming potential. To facilitate this effort, a...
Processed potato (Solanum tuberosum L.) products, such as chips and French fries, contribute to the dietary intake of acrylamide, a suspected human carcinogen. One of the most promising approaches for reducing its consumption is to develop and commercialize new potato varieties with low acrylamide-forming potential. To facilitate this effort, a...
Processed potato (Solanum tuberosum L.) products, such as chips and French fries, contribute to the dietary intake of acrylamide, a suspected human carcinogen. One of the most promising approaches for reducing its consumption is to develop and commercialize new potato varieties with low acrylamide-forming potential. To facilitate this effort, a...
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. Thompson, Paul J. Voglewede, Jonathan L. Whitworth, DavidI. Parish, and Jeffrey B. Endelman*
ABSTRACT
Processed potato (Solanum tuberosum L.) products, such as chips and French fries, contribute to the dietary intake of acrylamide, a suspected human carcinogen. One of the most promising approaches for reducing its consumption is to develop and commercialize new potato varieties with low acrylamide-forming potential. To facilitate this effort, a...
1. Spatial climate variables are routinely used in species distribution models (SDMs) without accounting for the
fact that they have been predicted with uncertainty, which can lead to biased estimates, erroneous inference and
poor performances when predicting to new settings – for example under climate change scenarios.
2. We show...
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Daly, Scott D. Foster,
Michael B. Ashcroft and DavidI. Warton
4
Web Appendix A: Algorithms and
1. Spatial climate variables are routinely used in species distribution models (SDMs) without accounting for the
fact that they have been predicted with uncertainty, which can lead to biased estimates, erroneous inference and
poor performances when predicting to new settings – for example under climate change scenarios.
2. We show...
Full Text:
, D. I. (2015). A
climate of uncertainty: accounting for error in climate variables for species
1. Spatial climate variables are routinely used in species distribution models (SDMs) without accounting for the fact that they have been predicted with uncertainty, which can lead to biased estimates, erroneous inference and poor performances when predicting to new settings – for example under climate change scenarios. 2. We show...
LiDAR (Light Detection And Ranging) is an emerging remote-sensing tool that can provide fine-scale data describing vertical complexity of vegetation relevant to species that are responsive to forest structure. We used LiDAR data to estimate occupancy probability for the federally threatened marbled murrelet (Brachyramphus marmoratus) in the Oregon Coast Range...
Published November 1991. Facts and recommendations in this publication may no longer be valid. Please look for up-to-date information in the OSU Extension Catalog: http://extension.oregonstate.edu/catalog
This report presents data collected on six cruises made during the months May-October 1972 along the Oregon coast. Both complete data listings and sequential surface data contour charts are presented. The latter graphically display rapid changes in surface water characteristics on time scales as short as a few hours.
The...