A recent report by scientists from the University of Wisconsin (Madison), University of Minnesota, and Arizona State University (all in the United States), presents "a new biofuel yield analysis based on the best available global agricultural census data. The new information reportedly gives "the first opportunity to consider geographically-specific patterns of biofuel feedstock production in different regions, across global, continental, national and sub-national scales". Data were analyzed for ten ethanol feedstocks (barley, cassava, maize, potato, rice, sorghum, sugar beet, sugar cane, sweet potato and wheat) and ten biodiesel feedstocks (castor, coconut, cotton, mustard, oil palm, peanut, rapeseed, sesame, soybean and sunflower). The results indicate the "continued existence of significant and geographically disparate agricultural yield gaps for most biofuel crops", and the use of a single yield estimate (usually from a unique location, or agricultural field trial and applied to larger regions or on a global scale) "can be misleading, and often overestimates the actual yield of agricultural feedstocks" by about 100% to150%. The complete report is published in the Environmental Research Letters journal (URL above)..