Comparative performance of supertree algorithms in large data sets using the soapberry family (Sapindaceae) as a case study.

For the last 2 decades, supertree reconstruction has been an active field of research and has seen the development of a large number of major algorithms. Because of the growing popularity of the supertree methods, it has become necessary to evaluate the performance of these algorithms to determine which are the best options (especially with regard to the supermatrix approach that is widely used). In this study, seven of the most commonly used supertree methods are investigated by using a large empirical data set (in terms of number of taxa and molecular markers) from the worldwide flowering plant family Sapindaceae. Supertree methods were evaluated using several criteria: similarity of the supertrees with the input trees, similarity between the supertrees and the total evidence tree, level of resolution of the supertree and computational time required by the algorithm. Additional analyses were also conducted on a reduced data set to test if the performance levels were affected by the heuristic searches rather than the algorithms themselves. Based on our results, two main groups of supertree methods were identified: on one hand, the matrix representation with parsimony (MRP), MinFlip, and MinCut methods performed well according to our criteria, whereas the average consensus, split fit, and most similar supertree methods showed a poorer performance or at least did not behave the same way as the total evidence tree. Results for the super distance matrix, that is, the most recent approach tested here, were promising with at least one derived method performing as well as MRP, MinFlip, and MinCut. The output of each method was only slightly improved when applied to the reduced data set, suggesting a correct behavior of the heuristic searches and a relatively low sensitivity of the algorithms to data set sizes and missing data. Results also showed that the MRP analyses could reach a high level of quality even when using a simple heuristic search strategy, with the exception of MRP with Purvis coding scheme and reversible parsimony. The future of supertrees lies in the implementation of a standardized heuristic search for all methods and the increase in computing power to handle large data sets. The latter would prove to be particularly useful for promising approaches such as the maximum quartet fit method that yet requires substantial computing power.

Responses of yield and N use of spring sown crops to N fertilization, with special reference to the use of plant growth regulators

Selostus: Typpilannoituksen ja kasvunsääteiden vaikutukset kevätviljojen ja rypsin satoon sekä typen käyttöön

Final Research and Analysis Report: Iowa Energy Poll, January 15, 2009

 The Iowa Power Fund and the Office of Energy Independence are charged with the responsibility of creating an economically viable and sound energy future for Iowa through energy independence. This vision can only be achieved if a majority, if not all Iowans, are united in this cause and actively participate in it

Iowa Power Fund Board Project Report Update, November 12, 2008

ISU’s proposed research will (1) develop methods for designing clean and efficient burners for low‐Btu producer gas and medium‐Btu syngas, (2) develop catalysts and flow reactors to produce ethanol from medium‐Btu synthesis gas, and (3) upgrade the BECON gasifier system to enable medium‐Btu syngas production and greatly enhanced capabilities for detailed gas analysis needed by both (1) and (2). This project addresses core development needs to enable grain ethanol industry reduce its natural gas demand and ultimately transition to cellulosic ethanol production.

Yield formation of spring rye at high latitudes with reference to seeding rate and plant growth regulation

Selostus: Kylvötiheyden ja kasvunsääteiden vaikutus kevätrukiin satoon

Plant communities of field boundaries in Finnish farmland

Appendix: List of species found in boundaries

Polyamine metabolism and signaling in plant abiotic stress protection

Polyamines (PAs) are small polycationic compounds present in all living organisms. Compelling evidences indicate a role for PAs in plant protection against stress. During the recent years, genetic, molecular and ‘omic’ approaches have been undertaken to unravel the role of PAs in stress signaling. Overall, results point to intricate relationships between PAs, stress hormone pathways and ROS signaling. Such cross-regulations condition stress signaling through the modulation of abscisic acid (ABA) and ROS amplification-loops. In this chapter we compile our recent findings which elucidate molecular mechanisms and signalingpathways by which PAs contribute to stress protection in plants.

Books, publications, project completion reports, M.S. and Ph. D. theses : research supported by Iowa State Water Resources Research Institute under the Water Resources Research Act of 1964, U.S. Public Law 88-379, U.S. Department of the Interior, Office of Water Resources Research, 1970

This book, published jointly by the American Society of Agronomy, Soil Science Society of American and Iowa State University presents the papers that were given at a symposium held in Ames, Iowa, on Nov. 30 and Dec. 1, 1965 on the general topic of plant environment and efficient water use.