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1. Genome-Wide Approach to Identify Quantitative Trait Loci for Drought Tolerance in Tetraploid Potato (

Author

Christina Schumacher, Susanne Thümecke, Florian Schilling, Karin Köhl, Joachim Kopka, Heike Sprenger, Dirk Karl Hincha, Dirk Walther, Sylvia Seddig, Rolf Peters, Ellen Zuther, Manuela Haas, and Renate Horn

Subjects
QH301-705.5, Genetic Linkage, Quantitative Trait Loci, drought tolerance, tuber starch content, Polymorphism, Single Nucleotide, Article, tuber starch yield, Chromosomes, Plant, transcript markers, ethylene, Biology (General), QD1-999, metabolites, Solanum tuberosum, fungi, food and beverages, Chromosome Mapping, Genomics, Droughts, Tetraploidy, Chemistry, Plant Tubers, brassinosteroids, Phenotype, cell wall, potato, Genome, Plant
Abstract

Drought represents a major abiotic stress factor negatively affecting growth, yield and tuber quality of potatoes. Quantitative trait locus (QTL) analyses were performed in cultivated potatoes for drought tolerance index DRYM (deviation of relative starch yield from the experimental median), tuber starch content, tuber starch yield, tuber fresh weight, selected transcripts and metabolites under control and drought stress conditions. Eight genomic regions of major interest for drought tolerance were identified, three representing standalone DRYM QTL. Candidate genes, e.g., from signaling pathways for ethylene, abscisic acid and brassinosteroids, and genes encoding cell wall remodeling enzymes were identified within DRYM QTL. Co-localizations of DRYM QTL and QTL for tuber starch content, tuber starch yield and tuber fresh weight with underlying genes of the carbohydrate metabolism were observed. Overlaps of DRYM QTL with metabolite QTL for ribitol or galactinol may indicate trade-offs between starch and compatible solute biosynthesis. Expression QTL confirmed the drought stress relevance of selected transcripts by overlaps with DRYM QTL. Bulked segregant analyses combined with next-generation sequencing (BSAseq) were used to identify mutations in genes under the DRYM QTL on linkage group 3. Future analyses of identified genes for drought tolerance will give a better insight into drought tolerance in potatoes.

Published
2021

2. Unravelling Differences in Candidate Genes for Drought Tolerance in Potato (

Author

Christina, Schumacher, Christoph Tim, Krannich, Lisa, Maletzki, Karin, Köhl, Joachim, Kopka, Heike, Sprenger, Dirk Karl, Hincha, Sylvia, Seddig, Rolf, Peters, Sadia, Hamera, Ellen, Zuther, Manuela, Haas, and Renate, Horn

Subjects
microsatellite, DNA, Plant, fungi, drought tolerance, protein phosphatase 2C, food and beverages, Computational Biology, candidate gene, Article, Droughts, Plant Breeding, aldehyde dehydrogenase, ethylene responsive transcription factor, poly(ADP-ribose) glycohydrolase, Stress, Physiological, potato, 1-aminocyclopropane-1-carboxylate synthase, Genetic Association Studies, Microsatellite Repeats, Solanum tuberosum
Abstract

Potato is regarded as drought sensitive and most vulnerable to climate changes. Its cultivation in drought prone regions or under conditions of more frequent drought periods, especially in subtropical areas, requires intensive research to improve drought tolerance in order to guarantee high yields under limited water supplies. A candidate gene approach was used to develop functional simple sequence repeat (SSR) markers for association studies in potato with the aim to enhance breeding for drought tolerance. SSR primer combinations, mostly surrounding interrupted complex and compound repeats, were derived from 103 candidate genes for drought tolerance. Validation of the SSRs was performed in an association panel representing 34 mainly starch potato cultivars. Seventy-five out of 154 SSR primer combinations (49%) resulted in polymorphic, highly reproducible banding patterns with polymorphic information content (PIC) values between 0.11 and 0.90. Five SSR markers identified allelic differences between the potato cultivars that showed significant associations with drought sensitivity. In all cases, the group of drought-sensitive cultivars showed predominantly an additional allele, indicating that selection against these alleles by marker-assisted breeding might confer drought tolerance. Further studies of these differences in the candidate genes will elucidate their role for an improved performance of potatoes under water-limited conditions.

Published
2021

3. PotatoScanner – ein System zur drahtlosen Übertragung von Sensordaten für Smart Farming Anwendungen am Beispiel der Trockenstresserfassung bei Kartoffelpflanzen

Author

Björn Gernert, Jan Schlichter, Rolf Peters, and Lars Wolf

Subjects
lcsh:Agriculture, lcsh:T, lcsh:Machine design and drawing, lcsh:Mechanical engineering and machinery, lcsh:S, lcsh:TJ1-1570, lcsh:Agriculture (General), lcsh:S1-972, lcsh:Technology, lcsh:TJ227-240
Abstract

Für die Umsetzung einer nachhaltigen Bewirtschaftung von Agrarflächen werden möglichst genaue Informationen über den Zustand der Pflanzen und der Umgebung, in der diese wachsen, benötigt. Unter dem Begriff „Smart Farming“ werden Technologien verstanden, die diese Informationen erheben, auswerten und zielgerichtet anwenden können. Nachfolgend wird der PotatoScanner vorgestellt, welcher in der Lage ist, Umweltparameter auf dem Feld zu erfassen und auszuwerten. Als Anwendungsbeispiel soll die Blattoberflächentemperatur von Pflanzen erfasst werden. Mit diesem Parameter ließe sich der Trockenstress von Pflanzen ermitteln. Darüber hinaus ist der PotatoScanner in der Lage, Messdaten von weiteren auf dem Feld befindlichen Sensoren abzurufen und zu speichern. Dies ist von Vorteil, wenn für die im Feld befindlichen Sensoren eine sichere Übertragungsmöglichkeit, z. B. mittels Mobilfunks, fehlt. Diese Problematik tritt verstärkt im ländlichen Raum auf, da die Bereitschaft der Mobilfunkbetreiber, dort ein flächendeckendes Netz aufzubauen, gering ist. Der PotatoScanner ist in der Lage, dieses Defizit zu kompensieren, wodurch der Einsatz von Sensortechnik auch in Gebieten ermöglich wird, in denen kein Mobilfunknetz vorhanden ist. Im Anschluss an die Vorstellung des Systems wird eine Evaluierung über zwei Wachstumsperioden durchgeführt. Weiterhin wird gezeigt, welche Möglichkeiten zur Datenübertragung auf dem Feld vorhanden und welche Umwelteinflüsse bei dessen Betrieb zu beachten sind., LANDTECHNIK, Bd. 75 Nr. 4 (2020)

Published
2020
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4. Can Metabolite- and Transcript-Based Selection for Drought Tolerance in Solanum tuberosum Replace Selection on Yield in Arid Environments?

Author

Sylvia Seddig, Karin Köhl, Heike Sprenger, Manuela Haas, Ellen Zuther, Joachim Kopka, Dirk Walther, Rolf Peters, and Dirk K. Hincha

Subjects
0106 biological sciences, 0301 basic medicine, phenotyping, Metabolite, Yield (finance), Drought tolerance, Population, drought tolerance, Plant Science, Biology, lcsh:Plant culture, 01 natural sciences, marker-assisted selection, 03 medical and health sciences, chemistry.chemical_compound, parasitic diseases, lcsh:SB1-1110, education, Selection (genetic algorithm), education.field_of_study, fungi, food and beverages, least absolute shrinkage and selection operator models, Marker-assisted selection, Solanum tuberosum, Arid, 030104 developmental biology, Agronomy, chemistry, multi-environment trials, metabolite profiling, 010606 plant biology & botany
Abstract

Climate models predict an increased likelihood of drought, demanding efficient selection for drought tolerance to maintain yield stability. Classic tolerance breeding relies on selection for yield in arid environments, which depends on yield trials and takes decades. Breeding could be accelerated by marker-assisted selection (MAS). As an alternative to genomic markers, transcript and metabolite markers have been suggested for important crops but also for orphan corps. For potato, we suggested a random-forest-based model that predicts tolerance from leaf metabolite and transcript levels with a precision of more than 90 independent of the agro-environment. To find out how the model based selection compares to yield-based selection in arid environments, we applied this approach to a population of 200 tetraploid Solanum tuberosum ssp. tuberosum lines segregating for drought tolerance. Twenty-four lines were selected into a phenotypic subpopulation (PPt) for superior tolerance based on relative tuber starch yield data from three drought stress trials. Two subpopulations with superior (MPt) and inferior (MPs) tolerance were selected based on drought tolerance predictions based on leaf metabolite and transcript levels from two sites. The 60 selected lines were phenotyped for yield and drought tolerance in 10 multi-environment drought stress trials representing typical Central European drought scenarios. Neither selection affected development or yield potential. Lines with superior drought tolerance and high yields under stress were over-represented in both populations selected for superior tolerance, with a higher number in PPt compared to MPt. However, selection based on leaf metabolites may still be an alternative to yield-based selection in arid environments as it works on leaves sampled in breeder’s fields independent of drought trials. As the selection against low tolerance was ineffective, the method is best used in combination with tools that select against sensitive genotypes. Thus, metabolic and transcript marker-based selection for drought tolerance is a viable alternative to the selection on yield in arid environments.

Published
2020

5. Can Metabolite- and Transcript-Based Selection for Drought Tolerance in

Author

Manuela, Haas, Heike, Sprenger, Ellen, Zuther, Rolf, Peters, Sylvia, Seddig, Dirk, Walther, Joachim, Kopka, Dirk K, Hincha, and Karin I, Köhl

Subjects
phenotyping, transcript profiling, parasitic diseases, fungi, multi-environment trials, drought tolerance, food and beverages, metabolite profiling, potato, Plant Science, least absolute shrinkage and selection operator models, marker-assisted selection, Original Research
Abstract

Climate models predict an increased likelihood of drought, demanding efficient selection for drought tolerance to maintain yield stability. Classic tolerance breeding relies on selection for yield in arid environments, which depends on yield trials and takes decades. Breeding could be accelerated by marker-assisted selection (MAS). As an alternative to genomic markers, transcript and metabolite markers have been suggested for important crops but also for orphan corps. For potato, we suggested a random-forest-based model that predicts tolerance from leaf metabolite and transcript levels with a precision of more than 90% independent of the agro-environment. To find out how the model based selection compares to yield-based selection in arid environments, we applied this approach to a population of 200 tetraploid Solanum tuberosum ssp. tuberosum lines segregating for drought tolerance. Twenty-four lines were selected into a phenotypic subpopulation (PPt) for superior tolerance based on relative tuber starch yield data from three drought stress trials. Two subpopulations with superior (MPt) and inferior (MPs) tolerance were selected based on drought tolerance predictions based on leaf metabolite and transcript levels from two sites. The 60 selected lines were phenotyped for yield and drought tolerance in 10 multi-environment drought stress trials representing typical Central European drought scenarios. Neither selection affected development or yield potential. Lines with superior drought tolerance and high yields under stress were over-represented in both populations selected for superior tolerance, with a higher number in PPt compared to MPt. However, selection based on leaf metabolites may still be an alternative to yield-based selection in arid environments as it works on leaves sampled in breeder’s fields independent of drought trials. As the selection against low tolerance was ineffective, the method is best used in combination with tools that select against sensitive genotypes. Thus, metabolic and transcript marker-based selection for drought tolerance is a viable alternative to the selection on yield in arid environments.

Published
2020

6. Confounding Factors in Container-Based Drought Tolerance Assessments in Solanum tuberosum

Author

Karin Köhl, Gedif Mulugeta Aneley, Rolf Peters, and Manuela Haas

Subjects
0106 biological sciences, phenotyping, managed environments, Drought tolerance, drought tolerance, Biology, 01 natural sciences, Crop, controlled environment, 03 medical and health sciences, Cutting, Yield (wine), 030304 developmental biology, 0303 health sciences, fungi, Confounding, food and beverages, Agriculture, yield, Solanum tuberosum, Substrate (marine biology), sample size, Agronomy, breeding, Container (abstract data type), potato, Agronomy and Crop Science, 010606 plant biology & botany
Abstract

Potato is an important food crop with high water-use-efficiency but low drought tolerance. The bottleneck in drought tolerance breeding is phenotyping in managed field environments. Fundamental research on drought tolerance is predominantly done in container-based test systems in controlled environments. However, the portability of results from these systems to performance under field conditions is debated. Thus, we analyzed the effects of climate conditions, container size, starting material, and substrate on yield and drought tolerance assessment of potato genotypes compared to field trials. A leave one out assessment indicated a minimum of three field trials for stable tolerance prediction. The tolerance ranking was highly reproducible under controlled-conditions, but weakly correlated with field performance. Changing to variable climate conditions, increasing container size, and substituting cuttings by seed tubers did not improve the correlation. Substituting horticultural substrate by sandy soil resulted in yield and tuber size distributions similar to those under field conditions. However, as the effect of the treatment × genotype × substrate interaction on yield was low, drought tolerance indices that depend on relative yields can be assessed on horticultural substrate also. Realistic estimates of tuber yield and tuber size distribution, however, require the use of soil-based substrates.

Published
2021

7. Fracture fixation in the operative management of hip fractures (FAITH): an international, multicentre, randomised controlled trial

Author

Aaron Nauth, Aaron T. Creek, Abby Zellar, Abdel-Rahman Lawendy, Adam Dowrick, Ajay Gupta, Akhil Dadi, Albert van Kampen, Albert Yee, Alexander C. de Vries, Alexander de Mol van Otterloo, Alisha Garibaldi, Allen Liew, Allison W. McIntyre, Amal Shankar Prasad, Amanda W. Romero, Amar Rangan, Amber Oatt, Amir Sanghavi, Amy L. Foley, Anders Karlsten, Andrea Dolenc, Andrew Bucknill, Andrew Chia, Andrew Evans, Andrew Gong, Andrew H. Schmidt, Andrew J. Marcantonio, Andrew Jennings, Angela Ward, Angshuman Khanna, Anil Rai, Anke B. Smits, Annamarie D. Horan, Anne Christine Brekke, Annette Flynn, Aravin Duraikannan, Are Stødle, Arie B. van Vugt, Arlene Luther, Arthur W. Zurcher, Arvind Jain, Asgeir Amundsen, Ash Moaveni, Ashley Carr, Ateet Sharma, Austin D. Hill, Axel Trommer, B. Sachidananda Rai, Barbara Hileman, Bart Schreurs, Bart Verhoeven, Benjamin B. Barden, Bernhard Flatøy, Berry I. Cleffken, Berthe Bøe, Bertrand Perey, Birgit C. Hanusch, Brad Weening, Bram Fioole, Bram Rijbroek, Brett D. Crist, Brett Halliday, Brett Peterson, Brian Mullis, C. Glen Richardson, Callum Clark, Carlos A. Sagebien, Carmen C. van der Pol, Carol Bowler, Catherine A. Humphrey, Catherine Coady, Cees L. Koppert, Chad Coles, Chadi Tannoury, Charles J. DePaolo, Chris Gayton, Chris Herriott, Christina Reeves, Christina Tieszer, Christine Dobb, Christopher G. Anderson, Claire Sage, Claudine Cuento, Clifford B. Jones, Coks H.R. Bosman, Colleen Linehan, Cor P. van der Hart, Corey Henderson, Courtland G. Lewis, Craig A. Davis, Craig Donohue, Cyril Mauffrey, D.C. Sundaresh, Dana J. Farrell, Daniel B. Whelan, Daniel Horwitz, Daniel Stinner, Darius Viskontas, Darren M. Roffey, David Alexander, David E. Karges, David Hak, David Johnston, David Love, David M. Wright, David P. Zamorano, David R. Goetz, David Sanders, David Stephen, David Yen, Davide Bardana, Davy J Olakkengil, Deanna Lawson, Deborah Maddock, Debra L. Sietsema, Deeba Pourmand, Dennis Den Hartog, Derek Donegan, Diane Heels-Ansdell, Diane Nam, Dominic Inman, Dory Boyer, Doug Li, Douglas Gibula, Dustin M. Price, Dylan J. Watson, E. Mark Hammerberg, Edward T.C.H. Tan, Eelco J.R. de Graaf, Elise Berg Vesterhus, Elizabeth Roper, Elton Edwards, Emil H. Schemitsch, Eric R. Hammacher, Eric R. Henderson, Erica Whatley, Erick T. Torres, Erik G.J. Vermeulen, Erin Finn, Esther M.M. Van Lieshout, Eugene K. Wai, Evan R. Bannister, Evelyn Kile, Evert B.M. Theunissen, Ewan D. Ritchie, Farah Khan, Farhad Moola, Fiona Howells, Frank de Nies, Frank H.W.M. van der Heijden, Frank R.A.J. de Meulemeester, Frede Frihagen, Fredrik Nilsen, G. Ben Schmidt, G.H. Robert Albers, Garland K. Gudger, Garth Johnson, Gary Gruen, Gary Zohman, Gaurav Sharma, Gavin Wood, Geert W.M. Tetteroo, Geir Hjorthaug, Geir Jomaas, Geoff Donald, Geoffrey Ryan Rieser, Gerald Reardon, Gerard P. Slobogean, Gert R Roukema, Gijs A. Visser, Gilbert Moatshe, Gillian Horner, Glynis Rose, Gordon Guyatt, Graham Chuter, Greg Etherington, Gregory J. Della Rocca, Guri Ekås, Gwendolyn Dobbin, H. Michael Lemke, Hamish Curry, Han Boxma, Hannah Gissel, Hans Kreder, Hans Kuiken, Hans L.F. Brom, Hans-Christoph Pape, Harm M van der Vis, Harvinder Bedi, Heather A. Vallier, Heather Brien, Heather Silva, Heike Newman, Helena Viveiros, Henk van der Hoeven, Henry Ahn, Herman Johal, Herman Rijna, Heyn Stockmann, Hong A. Josaputra, Hope Carlisle, Igor van der Brand, Imro Dawson, Ivan Tarkin, Ivan Wong, J. Andrew Parr, J. Andrew Trenholm, J. Carel Goslings, J. David Amirault, J. Scott Broderick, Jaap P. Snellen, Jacco A.C. Zijl, Jaimo Ahn, James Ficke, James Irrgang, James Powell, James R. Ringler, James Shaer, James T. Monica, Jan Biert, Jan Bosma, Jan Egil Brattgjerd, Jan Paul M. Frölke, Jan Wille, Janakiraman Rajakumar, Jane E. Walker, Janell K. Baker, Janos P. Ertl, Jean Paul P.M. de Vries, Jean W.M. Gardeniers, Jedediah May, Jeff Yach, Jennifer T. Hidy, Jerald R. Westberg, Jeremy A. Hall, Jeroen van Mulken, Jessica Cooper McBeth, Jochem Hoogendoorn, Jodi M. Hoffman, Joe Joseph Cherian, John A. Tanksley, John Clarke-Jenssen, John D. Adams, John Esterhai, John F. Tilzey, John Murnaghan, John P. Ketz, John S. Garfi, John Schwappach, John T. Gorczyca, John Wyrick, Jonas Rydinge, Jonathan L. Foret, Jonathan M. Gross, Jonathan P. Keeve, Joost Meijer, Joris J.G. Scheepers, Joseph Baele, Joseph O'Neil, Joseph R. Cass, Joseph R. Hsu, Jules Dumais, Julia Lee, Julie A. Switzer, Julie Agel, Justin E. Richards, Justin W. Langan, Kahn Turckan, Kaili Pecorella, Kamal Rai, Kamran Aurang, Karl Shively, Karlijn van Wessem, Karyn Moon, Kate Eke, Katie Erwin, Katrine Milner, Kees Jan Ponsen, Kelli Mills, Kelly Apostle, Kelly Johnston, Kelly Trask, Kent Strohecker, Kenya Stringfellow, Kevin K. Kruse, Kevin Tetsworth, Khalis Mitchell, Kieran Browner, Kim Hemlock, Kimberly Carcary, Knut Jørgen Haug, Krista Noble, Kristin Robbins, Krystal Payton, Kyle J. Jeray, L. Joseph Rubino, Lauren A. Nastoff, Lauren C. Leffler, Laurents P.S. Stassen, Lawrence K. O'Malley, Lawrence M. Specht, Lehana Thabane, Leo M.G. Geeraedts, Leslie E. Shell, Linda K. Anderson, Linda S. Eickhoff, Lindsey Lyle, Lindsey Pilling, Lisa Buckingham, Lisa K. Cannada, Lisa M. Wild, Liz Dulaney-Cripe, Lodewijk M.S.J. Poelhekke, Lonneke Govaert, Lu Ton, Lucksy Kottam, Luke P.H. Leenen, Lydia Clipper, Lyle T. Jackson, Lynne Hampton, Maarten C. de Waal Malefijt, Maarten P. Simons, Maarten van der Elst, Maarten W.G.A. Bronkhorst, Mahesh Bhatia, Marc Swiontkowski, Margaret J. Lobo, Marilyn Swinton, Marinis Pirpiris, Marius Molund, Mark Gichuru, Mark Glazebrook, Mark Harrison, Mark Jenkins, Mark MacLeod, Mark R. de Vries, Mark S. Butler, Markku Nousiainen, Martijne van 't Riet, Martin C. Tynan, Martin Campo, Martin G. Eversdijk, Martin J. Heetveld, Martin Richardson, Mary Breslin, Mary Fan, Matt Edison, Matthew Napierala, Matthias Knobe, Matthias Russ, Mauri Zomar, Maurits de Brauw, Max Esser, Meghan Hurley, Melissa E. Peters, Melissa Lorenzo, Mengnai Li, Michael Archdeacon, Michael Biddulph, Michael Charlton, Michael D. McDonald, Michael D. McKee, Michael Dunbar, Michael E. Torchia, Michael Gross, Michael Hewitt, Michael Holt, Michael J. Prayson, Michael J.R. Edwards, Michael L. Beckish, Michael L. Brennan, Michael P. Dohm, Michael S.H. Kain, Michelle Vogt, Michelle Yu, Michiel H.J. Verhofstad, Michiel J.M. Segers, Michiel P.C. Siroen, Mike Reed, Milena R. Vicente, Milko M.M. Bruijninckx, Mittal Trivedi, Mohit Bhandari, Molly M. Moore, Monica Kunz, Morten Smedsrud, Naveen Palla, Neeraj Jain, Nico J.M. Out, Nicole Simunovic, Niels W.L. Schep, Oliver Müller, Onno R. Guicherit, Oscar J.F. Van Waes, Otis Wang, Pascal G. Doornebosch, Patricia Seuffert, Patrick J. Hesketh, Patrick Weinrauch, Paul Duffy, Paul Keller, Paul M. Lafferty, Paul Pincus, Paul Tornetta, Paul Zalzal, Paula McKay, Peter A. Cole, Peter D. de Rooij, Peter Hull, Peter M.N.Y.M. Go, Peter Patka, Peter Siska, Peter Weingarten, Philip Kregor, Philip Stahel, Philip Stull, Philippe Wittich, Piet A.R. de Rijcke, Pim Oprel, PJ Devereaux, Qi Zhou, R. Lee Murphy, Rachel Alosky, Rachel Clarkson, Raely Moon, Rajanikanth Logishetty, Rajesh Nanda, Raymond J. Sullivan, Rebecca G. Snider, Richard E. Buckley, Richard Iorio, Richard J Farrugia, Richard Jenkinson, Richard Laughlin, Richard P.R. Groenendijk, Richard W. Gurich, Ripley Worman, Rob Silvis, Robert Haverlag, Robert J. Teasdall, Robert Korley, Robert McCormack, Robert Probe, Robert V. Cantu, Roger B. Huff, Rogier K.J. Simmermacher, Rolf Peters, Roman Pfeifer, Ronald Liem, Ronald N. Wessel, Ronald Verhagen, Ronald Vuylsteke, Ross Leighton, Ross McKercher, Rudolf W. Poolman, Russell Miller, Ryan Bicknell, Ryan Finnan, Ryan M. Khan, Samir Mehta, Sandy Vang, Sanjay Singh, Sanjeev Anand, Sarah A. Anderson, Sarah A. Dawson, Scott B. Marston, Scott E. Porter, Scott T. Watson, Sebastiaan Festen, Shane Lieberman, Shannon Puloski, Shea A. Bielby, Sheila Sprague, Shelley Hess, Shelley MacDonald, Simone Evans, Sofia Bzovsky, Sondre Hasselund, Sophie Lewis, Stein Ugland, Stephanie Caminiti, Stephanie L. Tanner, Stephanie M. Zielinski, Stephanie Shepard, Stephen A. Sems, Stephen D. Walter, Stephen Doig, Stephen H. Finley, Stephen Kates, Stephen Lindenbaum, Stephen P. Kingwell, Steve Csongvay, Steve Papp, Steven E. Buijk, Steven J. Rhemrev, Steven M. Hollenbeck, Steven M. van Gaalen, Steven Yang, Stuart Weinerman, null Subash, Sue Lambert, Susan Liew, Sven A.G. Meylaerts, Taco J. Blokhuis, Tammo S. de Vries Reilingh, Tarjei Lona, Taryn Scott, Teresa K. Swenson, Terrence J. Endres, Terry Axelrod, Teun van Egmond, Thomas B. Pace, Thomas Kibsgård, Thomas M. Schaller, Thuan V. Ly, Timothy J. Miller, Timothy Weber, Toan Le, Todd M. Oliver, Tom M. Karsten, Tor Borch, Tor Magne Hoseth, Tor Nicolaisen, Torben Ianssen, Tori Rutherford, Tracy Nanney, Trevor Gervais, Trevor Stone, Tyson Schrickel, Tyson Scrabeck, Utsav Ganguly, V. Naumetz, Valda Frizzell, Veronica Wadey, Vicki Jones, Victoria Avram, Vimlesh Mishra, Vineet Yadav, Vinod Arora, Vivek Tyagi, Vivian Borsella, W. Jaap Willems, W.H. Hoffman, Wade T. Gofton, Wesley G. Lackey, Wesley Ghent, William Obremskey, William Oxner, William W. Cross, Yvonne M. Murtha, Zoe Murdoch, and Surgery

Subjects
Male, Bone Screws, Avascular necrosis, Kaplan-Meier Estimate, law.invention, Fracture Fixation, Internal, 0302 clinical medicine, Randomized controlled trial, Femur Head Necrosis, law, Fracture Fixation, Fracture fixation, Medicine and Health Sciences, 80 and over, Single-Blind Method, 030212 general & internal medicine, Non-U.S. Gov't, Aged, 80 and over, Fracture Healing, 030222 orthopedics, Hip fracture, Research Support, Non-U.S. Gov't, Hazard ratio, General Medicine, Equipment Design, Femur Head Necrosis/etiology, 3. Good health, Pulmonary embolism, Multicenter Study, Treatment Outcome, Randomized Controlled Trial, Fracture Fixation, Internal/adverse effects, Female, Reoperation, musculoskeletal diseases, medicine.medical_specialty, Femoral Neck Fractures/surgery, Internal/adverse effects, Bone healing, Research Support, N.I.H, 03 medical and health sciences, Research Support, N.I.H., Extramural, medicine, Journal Article, Humans, Adverse effect, Aged, business.industry, Extramural, medicine.disease, Femoral Neck Fractures, Surgery, Reconstructive and regenerative medicine Radboud Institute for Health Sciences [Radboudumc 10], Reoperation/statistics & numerical data, Quality of Life, business
Abstract

© 2017 Elsevier Ltd Background Reoperation rates are high after surgery for hip fractures. We investigated the effect of a sliding hip screw versus cancellous screws on the risk of reoperation and other key outcomes. Methods For this international, multicentre, allocation concealed randomised controlled trial, we enrolled patients aged 50 years or older with a low-energy hip fracture requiring fracture fixation from 81 clinical centres in eight countries. Patients were assigned by minimisation with a centralised computer system to receive a single large-diameter screw with a side-plate (sliding hip screw) or the present standard of care, multiple small-diameter cancellous screws. Surgeons and patients were not blinded but the data analyst, while doing the analyses, remained blinded to treatment groups. The primary outcome was hip reoperation within 24 months after initial surgery to promote fracture healing, relieve pain, treat infection, or improve function. Analyses followed the intention-to-treat principle. This study was registered with ClinicalTrials.gov, number NCT00761813. Findings Between March 3, 2008, and March 31, 2014, we randomly assigned 1108 patients to receive a sliding hip screw (n=557) or cancellous screws (n=551). Reoperations within 24 months did not differ by type of surgical fixation in those included in the primary analysis: 107 (20%) of 542 patients in the sliding hip screw group versus 117 (22%) of 537 patients in the cancellous screws group (hazard ratio [HR] 0·83, 95% CI 0·63–1·09; p=0·18). Avascular necrosis was more common in the sliding hip screw group than in the cancellous screws group (50 patients [9%] vs 28 patients [5%]; HR 1·91, 1·06–3·44; p=0·0319). However, no significant difference was found between the number of medically related adverse events between groups (p=0·82; appendix); these events included pulmonary embolism (two patients [

Published
2017

8. Discovering plant metabolic biomarkers for phenotype prediction using an untargeted approach

Author

Joost T. van Dongen, Matthias Steinfath, Nicolas Schauer, Peter Geigenberger, Joachim Kopka, Detlef Groth, Nadine Strehmel, Rolf Peters, Martin Steup, Jan Hummel, and Joachim Selbig

Subjects
Metabolic biomarkers, business.industry, fungi, food and beverages, Feature selection, Plant Science, Biology, Phenotype, Biotechnology, Metabolomics, Trait, Biomarker (medicine), business, Agronomy and Crop Science, Functional genomics, Selection (genetic algorithm)
Abstract

Biomarkers are used to predict phenotypical properties before these features become apparent and, therefore, are valuable tools for both fundamental and applied research. Diagnostic biomarkers have been discovered in medicine many decades ago and are now commonly applied. While this is routine in the field of medicine, it is of surprise that in agriculture this approach has never been investigated. Up to now, the prediction of phenotypes in plants was based on growing plants and assaying the organs of interest in a time intensive process. For the first time, we demonstrate in this study the application of metabolomics to predict agronomic important phenotypes of a crop plant that was grown in different environments. Our procedure consists of established techniques to screen untargeted for a large amount of metabolites in parallel, in combination with machine learning methods. By using this combination of metabolomics and biomathematical tools metabolites were identified that can be used as biomarkers to improve the prediction of traits. The predictive metabolites can be selected and used subsequently to develop fast, targeted and low-cost diagnostic biomarker assays that can be implemented in breeding programs or quality assessment analysis. The identified metabolic biomarkers allow for the prediction of crop product quality. Furthermore, marker-assisted selection can benefit from the discovery of metabolic biomarkers when other molecular markers come to its limitation. The described marker selection method was developed for potato tubers, but is generally applicable to any crop and trait as it functions independently of genomic information.

Published
2010

9. Reliability, Validity, and Responsiveness of the Western Ontario and McMaster Universities Osteoarthritis Index for Elderly Patients with a Femoral Neck Fracture

Author

Paul T.P.W. Burgers, Rudolf W Poolman, Theodorus MJ Van Bakel, Wim E Tuinebreijer, Stephanie M Zielinski, Mohit Bhandari, Peter Patka, Esther MM Van Lieshout, P J Devereaux, Gordon H Guyatt, Thomas A Einhorn, Lehana Thabane, Emil H Schemitsch, Kenneth J Koval, Frede Frihagen, Kevin Tetsworth, Ernesto Guerra-Farfan, Stephen D Walter, Sheila Sprague, Marilyn Swinton, Taryn Scott, Paula McKay, Kim Madden, Diane Heels-Ansdell, Lisa Buckingham, Aravin Duraikannan, Heather Silva, Martin J Heetveld, Robert D Zura, Victoria Avram, Ajay Manjoo, Dale Williams, John Antoniou, Tim Ramsay, Earl R Bogoch, Andrew Trenholm, Stephen Lyman, Madhu Mazumdar, Kevin J Bozic, Mark Luborsky, Stuart Goodman, Susan Muray, Rob Korley, Richard Buckley, Paul Duffy, Shannon Puloski, Kimberly Carcary, Melissa Lorenzo, Michael D McKee, Jeremy A Hall, Aaron Nauth, Daniel Whelan, Timothy R Daniels, James P Waddell, Henry Ahn, Milena R Vicente, Jennifer T Hidy, Melanie T MacNevin, Hans Kreder, Terry Axelrod, Richard Jenkinson, Markku Nousiainen, David Stephen, Veronica Wadey, Monica Kunz, Katrine Milner, Ria Cagaanan, Melanie MacNevin, Peter J O’Brien, Piotr A Blachut, Henry M Broekhuyse, Pierre Guy, Kelly A Lefaivre, Gerard P Slobogean, Raman Johal, Irene Leung, Chad Coles, Ross Leighton, C. Glen Richardson, Michael Biddulph, Michael Gross, Michael Dunbar, J. David Amirault, David Alexander, Catherine Coady, Mark Glazebrook, David Johnston, William Oxner, Gerald Reardon, Ivan Wong, Kelly Trask, Shelley MacDonald, Andrew Furey, Craig Stone, Minnie Parsons, Trevor Stone, Mauri Zomar, Robert McCormack, Kelly Apostle, Dory Boyer, Farhad Moola, Bertrand Perey, Darius Viskontas, Karyn Moon, Raely Moon, Yves Laflamme, Benoit Benoit, Pierre Ranger, Michel Malo, Julio Fernandes, Karine Tardif, Julie Fournier, Pascal André Vendittoli, Vincent Massé, Alain G Roy, Martin Lavigne, Daniel Lusignan, Craig Davis, Philip Stull, Stewart Weinerman, Peter Weingarten, Steven Lindenbaum, Michael Hewitt, Rebecca Danielwicz, Janell Baker, Michael Mont, Donald E Delanois, Bhaveen Kapadia, Kimona Issa, Marylou Mullen, Andrew Sems, Barb Foreman, Javad Parvizi, Tiffany Morrison, Courtland Lewis, Stephanie Caminiti, Paul Tornetta, William R Creevy, Michelle J Lespasio, Hope Carlisle, Andrew Marcantonio, Michael Kain, Lawrence Specht, John Tilzey, John Garfi, Samir Mehta, John L Esterhai, Jaimo Ahn, Derek Donegan, Annamarie Horan, Kelly McGinnis, James Roberson, Thomas Bradbury, Greg Erens, Kyle Webb, Brian Mullis, Karl Shively, Andrew Parr, Janos Ertl, Ripley Worman, Mark Webster, Judd Cummings, Valda Frizzell, Molly Moore, Clifford B Jones, James R Ringler, Debra L Sietsema, Jane E Walker, Enes Kanlic, Amr Abdelgawad, Juan Shunia, Charles DePaolo, Susan Sutherland, Rachel Alosky, Robert Zura, Maria Manson, Gregg Strathy, Kathleen Peter, Paul Johnson, Meaghan Morton, James Shaer, Tyson Schrickel, Barbara Hileman, Marina Hanes, Elisha Chance, E. Matthew Heinrich, David Dodgin, Michele LaBadie, David Zamorano, Martin Tynan, Ran Schwarzkopf, John A Scolaro, Ranjan Gupta, Samuel Bederman, Nitin Bhatia, Bang Hoang, Douglas Kiester, Neil Jones, Gregory Rafijah, Damon Alavekios, Jason Lee, Akshay Mehta, Steven Schroder, Tom Chao, Vincent Colin, Phuc (Phil) Dang, Stephen Keun Heng, Gregory Lopez, Samuel Galle, Sohrab Pahlavan, Duy L Phan, Minal Tapadia, Christopher Bui, Nickul Jain, Tyler Moore, Nathan Moroski, Deeba Pourmand, Erik N Kubiak, Jeremy Gililland, David Rothberg, Christopher Peters, Christopher Pelt, Ami R Stuart, Kirby Corbey, Franklin D Shuler, James Day, Tigran Garabekyan, Felix Cheung, Ali Oliashirazi, Jonathon Salava, Linda Morgan, Timothy Wilson-Byrne, Mary Beth Cordle, Leon H.G.J. Elmans, Joost A.A.M. van den Hout, Adrianus JP Joosten, Ad FA van Beurden, Stefan BT Bolder, Denise Eygendaal, Adrianus F.C.M. Moonen, Rutger CI van Geenen, Eric A Hoebink, Robert Wagenmakers, Wouter van Helden, Hans-Peter W van Jonbergen, Herbert Roerdink, Joost M Reuver, Alexander FW Barnaart, Elvira R Flikweert, Rover Krips, J. Bernard Mullers, Hans Schüller, Mark LM Falke, Frans J Kurek, Adrianus CH Slingerland, Jan P van Dijk, Wouter H van Helden, Hugo W Bolhuis, Pieter HJ Bullens, Mike Hogervorst, Karin E de Kroon, Rob H Jansen, Ferry Steenstra, Eric EJ Raven, W. Peter J Fontijne, Saskia C Wiersma, Bastiaan Boetes, Edgar JT ten Holder, Huub JL van der Heide, Jochem Nagels, Enrike H.M.J. van der Linden-van der Zwaag, Stefan B Keizer, Jan-Willem A Swen, Peter HC den Hollander, Bregje JW Thomassen, Willem Jan Kleyn Molekamp, Frank R.A.J. de Meulemeester, Arthur EB Kleipool, Robert Haverlag, Maarten P Simons, Eduard L.A.R. Mutsaerts, Rob Kooijman, Roelf R Postema, René J.T.M. Bleker, Harald IH Lampe, Lein Schuman, John Cheung, Frank van Bommel, W. Paul Winia, Daniel Haverkamp, Harm van der Vis, Peter A Nolte, Michel PJ van den Bekerom, Tjitte de Jong, Arthur van Noort, Diederik A Vergroesen, Bernard G Schutte, Harm M van der Vis, Lijkele Beimers, Jasper de Vries, Arthur W Zurcher, G.H. Rob Albers, Maarten Rademakers, Stefan Breugem, Ibo van der Haven, Pieter Jan Damen, Gythe H Bulstra, Martin M Campo, Mathijs P Somford, Daniël Haverkamp, Susan Liew, Harvinder Bedi, Ashley Carr, Andrew Chia, Steve Csongvay, Craig Donohue, Stephen Doig, Elton Edwards, Max Esser, Richard Freeman, Andrew Gong, Doug Li, Russell Miller, Lu Ton, Otis Wang, Ian Young, Adam Dowrick, Zoe Murdoch, Claire Sage, Richard Page, David Bainbridge, Richard Angliss, Ben Miller, Andrew Thomson, Graeme Brown, Simon Williams, Kevin Eng, David Bowyer, John Skelley, Chatar Goyal, Sally Beattie, Enrique Guerado, Encarnacion Cruz, Juan Ramon Cano, Miguel Angel Froufe, Lluis Marull Serra, Samer Al-dirra, Cristina Martinez, Francisco José Tarazona Santabalbina, Jordi Teixidor Serra, Jordi Tomas Hernandez, Marc Aguilar Garcia, Vicente Molero Garcia, Sergi Barrera, Miriam Garrido, Lars Nordsletten, John Clarke-Jenssen, Geir Hjorthaug, Anne Christine Brekke, Elise Berg Vesterhus, Ingunn Skaugrud, Pradeep Tripathi, Sandesh Katiyar, Preksha Shukla, Marc Swiontkowski, Gordon Guyatt, Kyle Jeray, Stephen Walter, Helena Viveiros, Victoria Truong, Kaitlin Koo, Qi Zhou, Deborah Maddock, Nicole Simunovic, Julie Agel, Amar Rangan, Birgit C Hanusch, Lucksy Kottam, Rachel Clarkson, Gregory J Della Rocca, Gerard Slobogean, Jeffrey Katz, Brenda Gillespie, Gail A Greendale, Curtis Hartman, Craig Rubin, James Waddell, H. Michael Lemke, Amber Oatt, Richard E Buckley, Robert Korley, Kelly Johnston, James Powell, David Sanders, Abdel Lawendy, Christina Tieszer, John Murnaghan, Diane Nam, Albert Yee, Daniel B Whelan, Lisa M Wild, Ryan M Khan, Cathy Coady, David Amirault, Glen Richardson, Gwen Dobbin, Ryan Bicknell, Jeff Yach, Davide Bardana, Gavin Wood, Mark Harrison, David Yen, Sue Lambert, Fiona Howells, Angela Ward, Paul Zalzal, Heather Brien, V Naumetz, Brad Weening, Eugene K Wai, Steve Papp, Wade T Gofton, Stephen P Kingwell, Garth Johnson, Joseph O’Neil, Darren M Roffey, Vivian Borsella, Todd M Oliver, Vicki Jones, Terrence J Endres, Samuel G Agnew, Kyle J Jeray, J. Scott Broderick, David R Goetz, Thomas B Pace, Thomas M Schaller, Scott E Porter, Stephanie L Tanner, Rebecca G Snider, Lauren A Nastoff, Shea A Bielby, Julie A Switzer, Peter A Cole, Sarah A Anderson, Paul M Lafferty, Mengnai Li, Thuan V Ly, Scott B Marston, Amy L Foley, Sandy Vang, David M Wright, Andrew J Marcantonio, Michael SH Kain, Richard Iorio, Lawrence M Specht, John F Tilzey, Margaret J Lobo, John S Garfi, Heather A Vallier, Andrea Dolenc, Chalitha Robinson, Michael J Prayson, Richard Laughlin, L. Joseph Rubino, Jedediah May, Geoffrey Ryan Rieser, Liz Dulaney-Cripe, Chris Gayton, John T Gorczyca, Jonathan M Gross, Catherine A Humphrey, Stephen Kates, Krista Noble, Allison W McIntyre, Kaili Pecorella, Craig A Davis, Stephen Lindenbaum, John Schwappach, Janell K Baker, Tori Rutherford, Heike Newman, Shane Lieberman, Erin Finn, Kristin Robbins, Meghan Hurley, Lindsey Lyle, Khalis Mitchell, Kieran Browner, Erica Whatley, Krystal Payton, Christina Reeves, Lisa K Cannada, David Karges, Leslie Hill, John Esterhai, Annamarie D Horan, Christine A Kaminski, Brynn N Kowalski, Jonathan P Keeve, Christopher G Anderson, Michael D McDonald, Jodi M Hoffman, Ivan Tarkin, Peter Siska, Gary Gruen, Andrew Evans, Dana J Farrell, James Irrgang, Arlene Luther, William W Cross, Joseph R Cass, Stephen A Sems, Michael E Torchia, Tyson Scrabeck, Mark Jenkins, Jules Dumais, Amanda W Romero, Carlos A Sagebien, Mark S Butler, James T Monica, Patricia Seuffert, Joseph R Hsu, James Ficke, Michael Charlton, Matthew Napierala, Mary Fan, Chadi Tannoury, Michael Archdeacon, Ryan Finnan, Toan Le, John Wyrick, Shelley Hess, Michael L Brennan, Robert Probe, Evelyn Kile, Kelli Mills, Lydia Clipper, Michelle Yu, Katie Erwin, Daniel Horwitz, Kent Strohecker, Teresa K Swenson, Andrew H Schmidt, Jerald R Westberg, Kamran Aurang, Gary Zohman, Brett Peterson, Roger B Huff, Joseph Baele, Timothy Weber, Matt Edison, Jessica McBeth, Janos P Ertl, J. Andrew Parr, Molly M Moore, Erin Tobias, Emily Thomas, Charles J DePaolo, Leslie E Shell, Lynne Hampton, Stephanie Shepard, Tracy Nanney, Claudine Cuento, Robert V Cantu, Eric R Henderson, Linda S Eickhoff, E. Mark Hammerberg, Philip Stahel, David Hak, Cyril Mauffrey, Douglas Gibula, Hannah Gissel, Corey Henderson, David P Zamorano, Martin C Tynan, Deanna Lawson, Brett D Crist, Yvonne M Murtha, Linda K Anderson, Colleen Linehan, Lindsey Pilling, Courtland G Lewis, Raymond J Sullivan, Elizabeth Roper, William Obremskey, Philip Kregor, Justin E Richards, Kenya Stringfellow, Michael P Dohm, Abby Zellar, Michiel JM Segers, Jacco AC Zijl, Bart Verhoeven, Anke B Smits, Jean Paul PM de Vries, Bram Fioole, Henk van der Hoeven, Evert BM Theunissen, Tammo S de Vries Reilingh, Lonneke Govaert, Philippe Wittich, Maurits de Brauw, Jan Wille, Peter M.N.Y.M. Go, Ewan D Ritchie, Ronald N Wessel, Eric R Hammacher, Gijs A Visser, Heyn Stockmann, Rob Silvis, Jaap P Snellen, Bram Rijbroek, Joris JG Scheepers, Erik GJ Vermeulen, Michiel PC Siroen, Ronald Vuylsteke, Hans LF Brom, Herman Rijna, Piet AR de Rijcke, Cees L Koppert, Steven E Buijk, Richard PR Groenendijk, Imro Dawson, Geert WM Tetteroo, Milko MM Bruijninckx, Pascal G Doornebosch, Eelco JR de Graaf, Maarten van der Elst, Carmen C van der Pol, Martijne van’t Riet, Tom M Karsten, Mark R de Vries, Laurents PS Stassen, Niels WL Schep, G Ben Schmidt, W H Hoffman, Frank H.W.M. van der Heijden, W. Jaap Willems, Cor P van der Hart, Kahn Turckan, Sebastiaan Festen, Frank de Nies, Nico JM Out, Jan Bosma, Albert van Kampen, Jan Biert, Arie B van Vugt, Michael JR Edwards, Taco J Blokhuis, Jan Paul M Frölke, Leo MG Geeraedts, Jean WM Gardeniers, Edward T.C.H. Tan, Lodewijk M.S.J. Poelhekke, Maarten C de Waal Malefijt, Bart Schreurs, Gert R Roukema, Hong A Josaputra, Paul Keller, Peter D de Rooij, Hans Kuiken, Han Boxma, Berry I Cleffken, Ronald Liem, Steven J Rhemrev, Coks HR Bosman, Alexander de Mol van Otterloo, Jochem Hoogendoorn, Alexander C de Vries, Sven AG Meylaerts, Michiel HJ Verhofstad, Joost Meijer, Teun van Egmond, Igor van der Brand, Martin G Eversdijk, Rolf Peters, Dennis Den Hartog, Oscar JF Van Waes, Pim Oprel, Martin Campo, Ronald Verhagen, G.H. Robert Albers, Rogier KJ Simmermacher, Jeroen van Mulken, Karlijn van Wessem, Steven M van Gaalen, Luke PH Leenen, Maarten W.G.A. Bronkhorst, Onno R Guicherit, J. Carel Goslings, Kees Jan Ponsen, Mahesh Bhatia, Vinod Arora, Vivek Tyagi, Ajay Gupta, Neeraj Jain, Farah Khan, Ateet Sharma, Amir Sanghavi, Mittal Trivedi, Anil Rai, null Subash, Kamal Rai, Vineet Yadav, Sanjay Singh, Amal Shankar Prasad, Vimlesh Mishra, D C Sundaresh, Angshuman Khanna, Joe Joseph Cherian, Davy J Olakkengil, Gaurav Sharma, Akhil Dadi, Naveen Palla, Utsav Ganguly, B. Sachidananda Rai, Janakiraman Rajakumar, Peter Hull, Sophie Lewis, Simone Evans, Rajesh Nanda, Rajanikanth Logishetty, Sanjeev Anand, Carol Bowler, Andrew Jennings, Graham Chuter, Glynis Rose, Gillian Horner, Callum Clark, Kate Eke, Mike Reed, Chris Herriott, Christine Dobb, Hamish Curry, Greg Etherington, Arvind Jain, Ash Moaveni, Matthias Russ, Geoff Donald, Patrick Weinrauch, Paul Pincus, Steven Yang, Brett Halliday, Trevor Gervais, Michael Holt, Annette Flynn, Marinis Pirpiris, David Love, Andrew Bucknill, Richard J Farrugia, Torben Ianssen, Asgeir Amundsen, Jan Egil Brattgjerd, Tor Borch, Berthe Bøe, Bernhard Flatøy, Sondre Hasselund, Knut Jørgen Haug, Kim Hemlock, Tor Magne Hoseth, Geir Jomaas, Thomas Kibsgård, Tarjei Lona, Gilbert Moatshe, Oliver Müller, Marius Molund, Tor Nicolaisen, Fredrik Nilsen, Jonas Rydinge, Morten Smedsrud, Are Stødle, Axel Trommer, Stein Ugland, Anders Karlsten, Guri Ekås, Hans-Christoph Pape, Matthias Knobe, Roman Pfeifer, Orthopedic Surgery and Sports Medicine, Graduate School, Other departments, Surgery, Other Research, Amsterdam Movement Sciences, Cardiothoracic Surgery, and Emergency Medicine

Subjects
Male, medicine.medical_specialty, WOMAC, Abstracting and Indexing, Osteoarthritis, Cronbach's alpha, Surveys and Questionnaires, medicine, Humans, Orthopedics and Sports Medicine, Clinical significance, Femoral neck, Aged, 80 and over, Ontario, business.industry, Reproducibility of Results, Construct validity, General Medicine, medicine.disease, RELIABILITY VALIDITY, Femoral Neck Fractures, Reconstructive and regenerative medicine Radboud Institute for Health Sciences [Radboudumc 10], Clinical trial, Reconstructive and regenerative medicine Radboud Institute for Molecular Life Sciences [Radboudumc 10], medicine.anatomical_structure, Physical therapy, Female, Surgery, business
Abstract

Item does not contain fulltext BACKGROUND: The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) has been extensively evaluated in groups of patients with osteoarthritis, yet not in patients with a femoral neck fracture. This study aimed to determine the reliability, construct validity, and responsiveness of the WOMAC compared with the Short Form-12 (SF-12) and the EuroQol 5D (EQ-5D) questionnaires for the assessment of elderly patients with a femoral neck fracture. METHODS: Reliability was tested by assessing the Cronbach alpha. Construct validity was determined with the Pearson correlation coefficient. Change scores were calculated from ten weeks to twelve months of follow-up. Standardized response means and floor and ceiling effects were determined. Analyses were performed to compare the results for patients less than eighty years old with those for patients eighty years of age or older. RESULTS: The mean WOMAC total score was 89 points before the fracture in the younger patients and increased from 70 points at ten weeks to 81 points at two years postoperatively. In the older age group, these scores were 86, 75, and 78 points. The mean WOMAC pain scores before the fracture and at ten weeks and two years postoperatively were 92, 76, and 87 points, respectively, in the younger age group and 92, 84, and 93 points in the older age group. Function scores were 89, 68, and 79 points for the younger age group and 84, 71, and 73 points for the older age group. The Cronbach alpha for pain, stiffness, function, and the total scale ranged from 0.83 to 0.98 for the younger age group and from 0.79 to 0.97 for the older age group. Construct validity was good, with 82% and 79% of predefined hypotheses confirmed in the younger and older age groups, respectively. Responsiveness was moderate. No floor effects were found. Moderate to large ceiling effects were found for pain and stiffness scales at ten weeks and twelve months in younger patients (18% to 36%) and in the older age group (38% to 53%). CONCLUSIONS: The WOMAC showed good reliability, construct validity, and responsiveness in both age groups of elderly patients with a femoral neck fracture who had been physically and mentally fit before the fracture. The instrument is suitable for use in future clinical studies in these populations. CLINICAL RELEVANCE: The results are based on two clinical trials. The questionnaires used concern pure, clinically relevant issues (ability to walk, climb stairs, etc.). Moreover, the results can be used for future research comparing clinical outcomes (or treatments) for populations with a femoral neck fracture.

Published
2015

10. Assessment of drought tolerance and its potential yield penalty in potato

Author

Sylvia Seddig, Joachim Kopka, Heike Sprenger, Dirk Walther, Karin Köhl, Rolf Peters, Arne Neumann, Dirk K. Hincha, Christian Schudoma, Ellen Zuther, and Katharina Rudack

Subjects
Ecophysiology, education.field_of_study, Starch, Yield (finance), fungi, Drought tolerance, Population, food and beverages, Plant Science, Biology, chemistry.chemical_compound, chemistry, Agronomy, Genetic variation, Cultivar, education, Agronomy and Crop Science, Institut für Biochemie und Biologie, Selection (genetic algorithm)
Abstract

Climate models predict an increased likelihood of seasonal droughts for many areas of the world. Breeding for drought tolerance could be accelerated by marker-assisted selection. As a basis for marker identification, we studied the genetic variance, predictability of field performance and potential costs of tolerance in potato (Solanum tuberosum L.). Potato produces high calories per unit of water invested, but is drought-sensitive. In 14 independent pot or field trials, 34 potato cultivars were grown under optimal and reduced water supply to determine starch yield. In an artificial dataset, we tested several stress indices for their power to distinguish tolerant and sensitive genotypes independent of their yield potential. We identified the deviation of relative starch yield from the experimental median (DRYM) as the most efficient index. DRYM corresponded qualitatively to the partial least square model-based metric of drought stress tolerance in a stress effect model. The DRYM identified significant tolerance variation in the European potato cultivar population to allow tolerance breeding and marker identification. Tolerance results from pot trials correlated with those from field trials but predicted field performance worse than field growth parameters. Drought tolerance correlated negatively with yield under optimal conditions in the field. The distribution of yield data versus DRYM indicated that tolerance can be combined with average yield potentials, thus circumventing potential yield penalties in tolerance breeding.

Published
2014

11. Discovering plant metabolic biomarkers for phenotype prediction using an untargeted approach

Author

Matthias, Steinfath, Nadine, Strehmel, Rolf, Peters, Nicolas, Schauer, Detlef, Groth, Jan, Hummel, Martin, Steup, Joachim, Selbig, Joachim, Kopka, Peter, Geigenberger, and Joost T, Van Dongen

Subjects
Phenotype, Artificial Intelligence, Plants, Biomarkers, Solanum tuberosum
Abstract

Biomarkers are used to predict phenotypical properties before these features become apparent and, therefore, are valuable tools for both fundamental and applied research. Diagnostic biomarkers have been discovered in medicine many decades ago and are now commonly applied. While this is routine in the field of medicine, it is of surprise that in agriculture this approach has never been investigated. Up to now, the prediction of phenotypes in plants was based on growing plants and assaying the organs of interest in a time intensive process. For the first time, we demonstrate in this study the application of metabolomics to predict agronomic important phenotypes of a crop plant that was grown in different environments. Our procedure consists of established techniques to screen untargeted for a large amount of metabolites in parallel, in combination with machine learning methods. By using this combination of metabolomics and biomathematical tools metabolites were identified that can be used as biomarkers to improve the prediction of traits. The predictive metabolites can be selected and used subsequently to develop fast, targeted and low-cost diagnostic biomarker assays that can be implemented in breeding programs or quality assessment analysis. The identified metabolic biomarkers allow for the prediction of crop product quality. Furthermore, marker-assisted selection can benefit from the discovery of metabolic biomarkers when other molecular markers come to its limitation. The described marker selection method was developed for potato tubers, but is generally applicable to any crop and trait as it functions independently of genomic information.

Published
2010

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