Lucia Gutierrez

Prof. Gutierrez is the Professor of Crop Breeding and Crop Diversity at the Swedish University of Agricultural Sciences (SLU). Prof. Gutierrez earned her Ph.D. in Plant Breeding and Ecology and Evolutionary Biology from Iowa State University and spent time as a postdoc at the Biometris Unit at Wageningen University and Research Center in the Netherlands. She was a Professor in Cereals Breeding and Quantitative Genetics at the University of Wisconsin-Madison before joining SLU, and an Associate Professor in Statistical Genetics at the Universidad de la Republica in Uruguay before that. Dr. Gutierrez has a strong international recognition being regularly invited to present her research in quantitative genetics and to teach advanced courses for graduate students, researchers, and plant breeders abroad. Dr. Gutierrez has served professional societies and the academic community in several roles including being Chair of the Plant Breeding and Genetics Division of the Crop Science Society of America, member of the Oat Global Board of Directors, the International Oat Nursery Executive and Genomics Committees, and the Steering Committee of the Agricultural Genomes to Phenomes Initiative, a multimillion USDA initiative to support research connecting high throughput phenotyping with genomic data. Her research focuses on resource optimization for large genomic studies and the understanding of the genetic architecture of complex traits and their response to the environment. She integrates state of the art genotyping technologies with large phenotyping experiments to study complex traits and the mechanisms employed by plants for local adaptation including the study of biotic and abiotic interactions. Her research program had also an applied component, which combined strong theoretical development, genomic tools, and high throughput phenotyping to release oat, wheat, and barley cultivars. Dr. Gutierrez has mentored more than 25 graduate students, 25 undergraduate students and served in more than 45 graduate student committees in countries as diverse as the U.S., Uruguay, Argentina, Brazil, Sweden, Australia, Norway, and Canada. Her research career includes the publication of more than 75 papers in high impact journals, securing several million dollars in research funds for her research, and the release of 5 oat and one wheat cultivar. 

Plant breeding is one of the most important endeavors in human history allowing agriculture and creating food surplus that gave rise to modern civilizations. Breeding involves disentangling genetics from environment and noise components and has recently contributed to more than doubling crop yields. I developed a research group with international recognition for expertise in experimental design and genotype by environment interaction modeling for genomic studies, as well as resource allocation optimization strategies in plant breeding. We pioneered new experimental designs based on sparse testing. While integrating cutting-edge omics strategies (i.e. genomics, phenomics, enviromics, transcriptomics), we identified the genetic determinants of complex traits in cereals such as wheat, barley, rice, and oats, mapping quantitative trait loci and predicting genotypic performance. Our quantitative genetics focus directly benefits farmers, breeders, and society. With 78 impactful publications and over $35 million secured in competitive funding, our research has produced significant scientific advancements in agriculture.

Teaching International Courses

Mixed Models Analysis in Plant Breeding. Summer Institute in Plant Breeding. UMN-USA. 2024-2026. Next edition June 1-5 2026, St. Paul, Minnesota, USA. See announcement.

Quantitative Genetics for Plant Breeding. Co-teach Walsh and Gore. Brazil-2015. South Korea-2016. Cornell-2017. Uruguay-2018. India-2023. Sweden-2023. Uruguay–2024. Next edition: May 4-9 2026, Hyderabad, India. See announcement.

Genomics-based breeding for climate adaptation. NOVA course. Co-teach Lillemo. Norway 2023.

Introduction to Plant Quantitative Genetics. TPBI, UA-USA. Co-teach Walsh, Gore. 2013-2020. Next edition: January 4-8 2027, Tucson, Arizona, USA. See announcement 

Advanced Statistical Plant Breeding. TPBI, UA-USA. Co-teach Walsh and Gore. 2013-2020. Next edition: January 4-8 2027, Tucson, Arizona, USA.  See announcement. 

Marker-Assisted Plant Breeding. Co-teach Bernardo, UMN-USA 2012, 2014, 2016, Advanta-Argentina 2013, UDELAR-Uruguay 2015.

Statistical Genetics. Latin-American Statistical Societies. Co-teach Balzarini. Chile 2014. 

GxE and QTL Mapping. Generation Challenge Program (GCP). Co-teach van Eeuwijk. Spain, 2013.

GWAS in Plants. Ibero-American Biometrics Conference. Co-teach Balzarini. Argentina 2013.

GWAS Data Analysis Workshop. Latin-American Genetics Conference. Argentina 2012.

QTL detection and deployment. GCP. Co-teach van Eeuwijk. WUR-Netherlands 2011. 

Mixed Models QTL Mapping. Co-teach Malosetti, UNC-Argentina 2011.

Statistical Genetics. Lab instructor for van Eeuwijk, Leiden University-Netherlands 2010.

Teaching Graduate Courses

Understanding Popuation Genetics, SLU, Sweden, 2026 (Co-instructor). 

Advanced Plant Breeding and Genetic Resources, SLU, Sweden, 2022, 2025 (Guest lecturer).

Plant Biology for Breeding and Protection, SLU, Sweden, 2026 (Guest lecturer).

Experimental Design, UW-Madison, USA, 2017-2025 (Responsible). 

Applications in ANOVA, UW-Madison, USA, 2017-2025 (Responsible). 

Current Topics in Plant Breeding and Genetics, Oregon State University, USA, 2021 (Guest lecturer).

Techniques of Plant Breeding, UW-Madison, USA, 2017, 2019 (Guest lecturer).

Plant Breeding and Plant Genetics Seminar, UW-Madison, USA, 2018 (Co-instructor 50%).

Marker Assisted Plant Breeding, UW-Madison, USA, 2016 (Co-instructor 50%).

Plant Disease Resistance, UW-Madison, USA, 2016 (Guest lecturer). 

QTL Analysis, FAGRO, UDELAR, Uruguay, 2009-2017 (Co-instructor 50%).

Advanced Plant Breeding, FAGRO, UDELAR, Uruguay, 2009-2014 (Co-instructor 50%).

Statistical Inference, FAGRO, UDELAR, Uruguay, 2009-2012 (Responsible).

Quantitative Genetics, FAGRO, UDELAR, Uruguay, 2009 (Co-instructor 20%).

Population and Quantitative Genetics for Breeding, ISU, USA, 2003 (Teaching Assistant).

Teaching Undergraduate Courses

Plant Breeding and Biotechnology, UW-Madison, USA, 2016-2025 (Responsible). 

Statistical Experimental Design, FAGRO, UDELAR, Uruguay, 2009-2015 (Responsible).

Plant Breeding, FAGRO, UDELAR, Uruguay, 2008, 2009, 2014 (Co-instructor 20%, Guest Lecturer).

Issues in Sustainable Agriculture in Uruguay, ISU, USA, 2004, 2006 (Teaching Assistant).

Plant Breeding, FAGRO, UDELAR, Uruguay, 2001 (Teaching Assistant).

Dhakal, R., Sandro, P., Gutierrez, L.‡ 2025. Optimized protocol for high-throughput vernalization with speed breeding in winter wheat. BMC Plant Methods. http://doi.org/10.1186/s13007-025-01473-7 [78]

Bekele, W., Itaya, A., Wight, C., Yan, W., Avni, R., Fiebig, A., Mascher, M., Birkett, C., Waring, D., Jannink, J.-L., Brodführer, S., Herrmann, M., Canales, F., Prats, E., Carlson, C., Sekhar Nandety, R., Fiedler, J., Gupta, R., Li, Y., Arbelaez, J., Beattie, A., Caffe, M., del Blanco, I., Gutierrez, L., Harris, J., Sutton, T., Huang, Y.-F., Isidro-Sánchez, J., McMullen, M., Mitchell Fetch, J., Nilsen, K., Parkin, I., Fu, Y-B., Diederichsen, A., Peng, Y.-Y, Smith, K., Zwer, P., Esvelt Klos, K., Howarth, C., Langdon, T., Jellen, E., Maughan, J., Paczos-Grzeda, E., Harrison, S., Sen, T., Michel, S., Tinker, N. 2025. Global genomic diversity analysis of wild and cultivated oat reveals population structure and signatures of chromosome rearrangements. Nature Communications 16, 9486. https://doi.org/10.1038/s41467-025-57895-3 [77]

Neyhart, J.‡, Gutierrez, L., Smith, K.P. 2025. Genomewide association and prediction of phenotypic plasticity in barley. The Plant Genome 18(4): e70121. https://doi.org/10.1002/tpg2.70121[76]

Gopinathan, G.; Meints, B.; Sandro, P.; Gutiérrez, L. 2025. Speed Breeding with Early Harvest Shortens the Growth Cycle of Barley. Agronomy, 15, 2275. https://doi.org/10.3390/agronomy15102275 [75]

Riela, V., Lado, B., Condón, F., Pritsch, C., Quincke, M., Kavanova, M., Garcia, R., Pereira F., Perez, N., Castro, A., Gutierrez, L., German, S., Silva, P. 2025. Wheat yellow rust: understanding the genetic resistance in a panel of breeding and commercial germplasm. Theoretical and Applied Genetics 138:145. https://doi.org/10.1007/s00122-025-04937-5 [74]

Guidalevich, V.‡, Berro, I., Aparicio, A.G., Azpilicueta, M.M., López, A.S., Arias-Rios, J.A., Picasso, V.D., Gutierrez, L., Marchelli, P. 2025. Genetic variation and heritability of agronomic traits in a native perennial forage species from drylands: breeding potential of Festuca pallescens. Sci Rep 15: 6896. https://doi.org/10.1038/s41598-025-90875-7 [73]

Kunze, K.H., Meints, B., Massman, C., Gutiérrez, L., Hayes, P.M., Smith, K.P., Bergstrom, G.C., Sorrells, M.E. 2024. Genome wide association of an organic naked barley diversity panel identified quantitative trait loci for disease resistance. The Plant Genome 17(4): e20530. https://doi.org/10.1002/tpg2.20530 [72]

Osterman, J., Gutiérrez, L., Öhlund, L., Ortiz, R., Hammenhag, C., Parsons, D., Geleta, M. 2024. Comparison of single-trait and multi-trait GBLUP models for genomic prediction in red clover. Agronomy 14: 2445. https://doi.org/10.3390/agronomy14102445 [71]

Berro, I., Yandell, B., Gutierrez, L.‡ 2024. A finite mixture distribution to model genetic architecture of image-based grain morphology. Crop Science 65(1):e21400. http://doi.org/10.1002/csc2.21400 [70]

Sandro, P., Bhatta, M., Bower, A., Carlson, S., Jannink, J-L., Waring, D.J., Birkett, C., Smith, K., Wiersma, J., Caffe, M, Kleinjan, J., McMullen, M.S., English, L., Gutierrez, L.‡ 2024. Genomic prediction for targeted populations of environments in oat (Avena sativa L.). Crop & Pasture Science 75: CP23126. https://doi.org/10.1071/CP23126 [69]

Kunze, K.; Meints, B.; Massman, C.; Gutierrez, L.; Smith, K.P.; Hayes, P.; Sorrells, M.E.‡ 2024. Genotype x environment interactions of organic winter naked barley for agronomic, disease and grain quality traits. Crop Science 64(2): 678-696. https://doi.org/10.1002/csc2.21195 [68]

Li, Z.‡, Gutierrez, L.‡ 2023. Editorial: Statistical Methods for Analysing Multiple Environmental Quantitative Genomic Data. Front. Genet. 14:121280. https://doi.org/10.3389/fgene.2023.1212804 [67]

Rebollo, I., Aguilar, I., Perez de Vida, F., Molina, F., Gutierrez, L., Rosas, J.‡ 2023. Genotype by environment interaction characterization and its modelling with random regression to climatic variables in two rice breeding populations. Crop Science 63(4): 2220-2240. https://doi.org/10.1002/csc2.21029 [66]

Brzozowski, L.J.‡, Campbell, M., Hu, H., Yao, L., Caffe, M., Gutiérrez, L., Smith, K.P., Sorrells, M.E., Gore, M.A., Jannink, J.-L. 2023. Genomic prediction of seed nutritional traits in biparental families of oat (Avena sativa). The Plant Genome 16(4): e20370. https://doi.org/10.1002/tpg2.20370 [65]

Berro, I., Varela, J., Gutierrez, L.‡ 2023. An image-based methodology to evaluate oat panicle architecture. Crop Science 63(2):648–661. https://doi.org/10.1002/csc2.20884 [64]

Massman, C., Meints, B., Hernandez, J., Kunze, K., Smith, K.P., Sorrells, M.E., Hayes, P.M., Gutierrez, L.‡ 2023. Genomic prediction of threshability in naked barley. Crop Science 63(2):674–689. https://doi.org/10.1002/csc2.20907 [63]

Locatelli, A., Gutierrez, L., Duchene, O., Speranza, P.R., Picasso, V.D. 2023. Agronomic performance of intermediate wheatgrass - Kernza® (Thinopyrum intermedium) in temperate South America. Grassland Research 1:262-278, https://doi.org/10.1002/glr2.12032 [62]

Sandro, P., Kissing Kucek, L., Sorrells, M.E., Dawson, J.‡, Gutierrez, L.‡ 2022. Developing high-quality value-added cereals for organic systems in the U.S. Upper Midwest: hard red winter wheat (Triticum aestivum L.) breeding. Theor Appl Genet 1-23. https://doi.org/10.1007/s00122-022-04112-0 [61]

Brzozowski, L.J.‡, Campbell, M.T., Hu, H., Broeckling, C.D., Caffe-Treml, M., Gutierrez, L., Smith, K.P., Sorrells, M.E., Gore, M.A., and Jannink, J-L. 2022. Generalizable approaches for genomic prediction of metabolites in plants. The Plant Genome 15(2): e20205. https://doi.org/10.1002/tpg2.20205 [60]

Locatelli, A., Gutierrez, L., Mastrandea, N., Viega, L., Castro, A.J.‡ 2022. Genetic control of barley phenology in South American environments. Euphytica 218:53. https://doi.org/10.1007/s10681-022-02993-2 [59]

Massman, C., Meints, B., Hernandez, J., Kunze, K., Hayes, P.M., Sorrells, M.E., Smith, K.P., Dawson, J.C., Gutierrez, L.‡ 2022. Characterization of agronomic traits in organic spring naked barley. Crop Science 62(2): 690-703. https://doi.org/10.1002/csc2.20686 [58]

Locatelli, A.; Gutierrez, L.; Picasso, V‡. 2022. Vernalization requirements of Kernza intermediate wheatgrass (Thinopyrum   intermedium).   Crop   Science   62(1):   524-535. https://doi.org/10.1002/csc2.20667 [57]

Neyhart, J.L., Silverstein, K., Gutierrez, L., Smith, K.P. 2022. Optimizing the choice of test locations for multi-trait genotypic evaluation. Crop Science 62(1): 192-202. https://doi.org/10.1002/csc2.20657 Outstanding paper in Crop Science. [56]

Hu, H., Campbell, M.T., Yeats, T.H. Zheng, X., Runcie, D.E., Covarrubias-Pazaran, G., Broeckling, C., Yao, L., Caffe-Treml, M., Gutiérrez, L., Smith, K.P., Tanaka, J., Hoekenga, O.A., Sorrells, M.E., Gore, M.A., Jannink, J.-L. 2021. Multi-omics prediction of oat agronomic and seed nutritional traits across environments and in distantly related populations. Theor Appl Genet 134, 4043–4054. https://doi.org/10.1007/s00122-021-03946-4 [55]

Brzozowski, L.; Hu, H.; Campbell, M.; Broeckling, C.; Caffe-Treml, M.; Gutierrez, L.; Smith, K.; Sorrells, M.; Gore, M.; Jannink, J.-L. 2021. Selection for seed size has indirectly shaped specialized metabolite abundance in oat (Avena sativa L.). G3 (Bethesda). 12(10): jkab419. http://doi.org/10.1093/g3journal/jkab419 [54]

Campbell, M.C.; Hu, H.; Yeats, T.H; Brzozowski, L.J; Caffe-Treml, M; Gutierrez, L; Smith, K.P; Sorrells, M.E; Gore, M.A; Jannink, J.-L. 2021. Improving genomic prediction for seed quality traits in oat (Avena sativa L.) using trait-specific relationship matrices. Frontiers in Genetics 12:643733 https://doi.org/10.3389/fgene.2021.643733 [53]

Campbell, M., Hu, H., Yeats, T., Caffe-Treml, M., Gutierrez, L., Smith, K., Sorrells, M., Gore, M., Jannink, J.-L. 2021. Translating insights from the seed metabolome into improved prediction for lipid-composition traits in oat (Avena sativa L.). Genetics, 217(3): March 2021, iyaa043. https://doi.org/10.1093/genetics/iyaa043 [52]

Bhatta, M., Sandro, P., Smith, MR., Delaney, O., Voss-Fels, K-P., Gutierrez, L.‡, Hickey, LT.‡ 2021. Need for speed: manipulating plant growth to accelerate breeding cycles. Current Opinion in Plant Biology 60, 101986. https://doi.org/10.1016/j.pbi.2020.101986 [51]

Neyhart, J.L., Gutiérrez, L., Smith, K.P. 2021. Using environmental similarities to design training sets for genomewide selection. Crop Science 61(1): 396-409. https://doi.org/10.1002/csc2.20303 Outstanding paper in Crop Science. [50]

González-Barrios P, Bhatta M, Halley M, Sandro P, Gutiérrez L.‡ 2021. Speed breeding and early panicle harvest accelerates oat (Avena sativa L.) breeding cycles. Crop Science 61(1):320-330. https://doi.org/10.1002/csc2.20269 Honorable mention for outstanding paper in Crop Science. [49]

Rosas, J., Escobar, M., Martínez, S., Blanco, P., Pérez, F., Quero, G., Gutiérrez, L., Bonnecarrere, V. 2020. Epistasis and quantitative resistance to Pyricularia oryzae revealed by GWAS in advanced rice breeding populations. Agriculture 10:622. http://doi:10.3390/agriculture10120622 [48]

Baraibar, S.; García, R.; Silva, P.; Lado, B.; Castro, A.; Gutierrez, L.; Kavanová, M.; Quincke, M.; Bhavani, S.; Randhawa, M.; Germán, S.‡ 2020. QTL mapping of resistance to Ug99 and other stem rust races in bread wheat. Mol Breeding 40:82. https://doi.org/10.1007/s11032-020-01153-5 [47]

Hoefler, R., Gonzalez-Barrios, P., Bhatta, M., Berro, I., Nalin, R.S., Borges, A., Covarrubias, E., Diaz- Garcia, L., Gutierrez, L.‡. 2020. Do spatial designs outperform classic experimental designs? Journal of Agricultural, Biological, and Environmental Statistics 25:523-552. http://doi.org/10.1007/s13253-020-00406-2 [46]

Steinmetz, O.J., Huset, D.E., Rouse, D.I., Raasch, J.A., Gutiérrez, L., Riday, H. 2020. Synthetic Cultivar Parent Number Impacts on Genetic Drift and Disease Resistance in Alfalfa (Medicago sativa L.). Crop Science 60: 2304– 2316. http://doi.org/10.1002/csc2.20219 [45]

González-Barrios, P., Borges, A., Terra, J., Pérez-Bidegain, M., Gutiérrez, L.‡ 2020. Spatio-Temporal Modeling and Competition Dynamics in Forest Tillage Experiments on Early Growth of Eucalyptus grandis L. Forest Science 66(5): 526–536. https://doi.org/10.1093/forsci/fxaa007 [44]

Quero, G., Bonnecarrère, V., Simondi, S., Santos, J., Fernandez, S., Gutierrez, L., Garaycochea, S., Borsani, O. 2020. Genetic architecture of photosynthesis energy partitioning as revealed by a genome-wide association approach. Photosynth Res 150: 97–115. https://doi.org/10.1007/s11120- 020-00721-2 [43]

Bhatta, M., Gutierrez, L.‡, Cammarota, L., Cardozo, F., Germán, S., Gómez-Guerrero, B., Pardo, M.F., Lanaro, V., Sayas, M., Castro, A.J. 2020. Multi-trait Genomic Prediction Model Increased the Predictive Ability for Agronomic and Malting Quality Traits in Barley (Hordeum vulgare L.). G3: Genes, Genomes, Genetics. Mar 1;10(3):1113-24. https://doi.org/10.1534/g3.119.400968 [42]

González-Barrios, P., Diaz-Garcia, L., Gutierrez, L.‡ 2019. Mega-environmental design: using genotype by environment interaction to optimize resources for cultivar testing. Crop Science 59:1–17. https://doi.org/10.2135/cropsci2018.11.0692 [41]

Borges, A., González-Reymúndez, A., Ernst, O., Cadenazzi, M., Terra, J., Gutierrez L.‡ 2019. Can spatial modeling substitute for experimental design in agricultural experiments? Crop Science 59:44–53. https://doi.org/10.2135/cropsci2018.03.0177 [40]

Berro, I., Nalin, R., Quincke M., Gutierrez, L.‡ 2019. Training population optimization for genomic selection. The Plant Genome 12(3): 1-14. https://doi.org/10.3835/plantgenome2019.04.0028 [39]

Monteverde, E., Gutierrez, L., Blanco, P., Pérez de Vida, F., Rosas, J.E., Bonnecarrère, V., Quero, G., McCouch, S.‡ 2019. Integrating molecular markers and environmental covariates to interpret genotype by environment interaction in rice (Oryza sativa L.) grown in temperate areas. G3: Genes, Genomes, Genetics 9(5): 1519-1531; https://doi.org/10.1534/g3.119.400064 [38]

Sandro, P., Gutierrez, L., Speranza, P.‡ 2019. Distribution of genetic and phenotypic diversity in the autogamous perennial Paspalum dilatatum subsp. flavescens (Poaceae). Genetic Resources and Crop Evolution 66:1205-1216. https://doi.org/10.1007/s10722-019-00791-9 [37]

Favre, J., Albrecht, K.A., Gutierrez, L., Picasso, V.D.‡ 2019. Harvesting oat forage at late heading increases milk production per unit of area. Crop, Forage and Turfgrass Management 5(1):180046. https://doi.org/10.2134/cftm2018.06.0046 [36]

Neyhart, J.L., Sweeney, D., Sorrells, M., Kapp, C., McFarland, A., Kephart, K.D., Sherman, J., Stockinger, E.J., Fisk, S., Hayes, P., Daba, S., Mohammadi, M., Hughes, N., Lukens, L., González Barrios, P., Gutierrez, L., Smith, K.‡ 2019. Registration of the S2MET barley mapping population for multi-environment genomewide selection. Journal of Plant Registration 13:270-280. https://doi.org/10.3198/jpr2018.06.0037crmp [35]

Lado, B., Vazquez, D., Quincke, M., Silva, P., Aguilar, I., Gutiérrez, L.‡ 2018. Resource Allocation Optimization with Multi-trait Genomic Prediction for Bread Wheat (Triticum aestivum L.) Quality. Theoretical and Applied Genetics 19:1-13. https://doi.org/10.1007/s00122-018-3186-3 [34]

Quero, G., Gutierrez, L.‡, Monteverde, E., Blanco, P., Perez de Vida, F., Rosas, J., Fernandez, S.*, Garaycochea, S., McCouch, S., Berberian, N.*, Simondi, S., Bonnecarrere, V. 2018. Genome- wide association study using historical breeding population discovers genomic regions involved in high-quality rice. The Plant Genome 11:170076. https://doi.org/10.3835/plantgenome2017.08.0076 [33]

Monteverde, E.; Rosas, J.E.; Blanco, P.; Perez de Vida, F.; Bonnecarrere, V.; Quero, G.; Gutiérrez, L.; McCouch, S.‡ 2018. Multi-Environment models increase prediction accuracy of complex traits in rice advanced breeding lines of rice (O. sativa). Crop Science 58:1519–1530. https://doi.org/10.2135/cropsci2017.09.0564 [32]

Rosas, J.E., Martinez, S., Blanco, P., Perez de Vida, F., Bonnecarrere, V., Mosquera, G., Cruz, M., Fernandez, S., Garaycochea, Monteverde, E., McCouch, S., Silvia Germán, Jannink, J.-L., Gutierrez, L. ‡ 2018. Resistance to Multiple Temperate and Tropical Stem and Sheath Diseases of Rice. The Plant Genome 11(1): 1-13. https://doi.org/10.3835/plantgenome2017.03.0029 [31]

González-Barrios, P., Castro, M.; Pérez, O., Vilaró, D., Gutiérrez, L. ‡ 2017. Genotype by environment interaction in sunflower (Helianthus annus L.) to optimize trial network efficiency. Spanish Journal of Agricultural Research, Volume 15, Issue 4, e0705. https://doi.org/10.5424/sjar/2017154-11016 [30]

Lado, B., Battenfield, S., Guzman, C., Quincke, M., Singh, R.P., Dreisigacker, S., Peña, J., Fritz, A., Poland, J. ‡, Gutiérrez, L. ‡ 2017 Strategies to select crosses using genomic prediction in two wheat breeding programs. The Plant Genome. https://doi.org/10.3835/plantgenome2016.12.0128 [29]

Gonzalez Reymundez, A., de los Campos, G., Gutierrez, L., Lunt, S., Vazquez Saravia, A.I. ‡ 2017. Prediction of Years of Life after Diagnosis of Breast Cancer Using Omics and Omic-by- Treatment Interactions. Eur J Hum Genet. 2017 25(5):538-544. https://doi.org/10.1038/ejhg.2017.12 [28]

Brandariz, S.P., González Reymúndez, A., Lado, B., Malosetti, M., Garcia, A.A.F., Quincke, M., von Zitzewitz, J., Castro, M., Matus, I., del Pozo, A., Castro, A.J., Gutiérrez, L. ‡ 2016 Ascertainment bias from imputation methods evaluation in wheat. BMC Genomics 17:773 https://doi.org/10.1186/s12864-016-3120-5 [27]

Racedo, J., Gutierrez, L., Perera, M.F., Ostengo, S., Pardo, E.M., Cuenya, M.I., Wellin, B., Castagnaro,

A.P. ‡ 2016. Genome-wide association mapping of quantitative traits in a breeding population of sugarcane. BMC Plant Biology 16:142. https://doi.org/10.1186/s12870-016-0829-x [26]

Rosas, J., Martinez, S., Bonnecarrere, V., Perez de Vida, F., Blanco, P., Malosetti, M., Jannink, J.-L., Gutierrez, L.‡ 2016. Comparison of phenotyping methods for resistance to stem rot and aggregated sheat spot in rice. Crop Sci. 56:1619–1627. https://doi.org/10.2135/cropsci2015.09.0598 [25]

Lado, B., Gonzalez-Barrios, P., Quincke, M., Silva, P., Gutierrez, L.‡ 2016. Modelling Genotype by Environment Interaction for Genomic Selection with Unbalanced Data from a Wheat (Triticum aestivum L.) Breeding Program. Crop Science (Special Edition) https://doi.org/10.2135/cropsci2015.04.0207 [24]

Bonilla, C., Terra, J.A., Gutierrez, L., Roel, A. 2015. Hervesting precision agriculture benefits in rice from Uruguay (in Spanish). Agrociencia (Uruguay) 19(1): 112-121. [23]

González-Barrios, P., Pérez-Bidegain, M., Gutiérrez, L.‡ 2015. Effects of tillage intensities on spatial soil variability and site-specific management in early growth of Eucalyptus. Forest Ecology and Management 346:41-50. https://doi.org/10.1016/j.foreco.2015.02.031 [22]

Cajarville, C., Britos, A., Errandonea, N., Gutierrez, L., Cozzolino, D., Repetto, J. 2015. Diurnal changes in water soluble carbohydrate concentration and effect on in vitro fermentation of Lucerne and fescue in autumn. New Zealand Journal of Agricultural Research. https://doi.org/10.1080/00288233.2015.1018391 [21]

Mourelle, D., Gaiero, P., Speroni, G., Millan, C., Gutierrez, L., Mazzella, C. 2015. Comparative pollen morphology and viability among endangered species of Butia (Arecaceae) and its implications for delimitation and conservation. Palinology. http://doi.org/10.1080/01916122.2014.999955 [20]

Silva, P., Calvo-Salazar, V., Condon, F., Quincke, M., Pritsch, C., Gutierrez, L., Castro, A., Herrera- Foessel, S., von Zitzewitz, J., German, S. 2015. Effects and interactions of genes Lr34, Lr68 and Sr2 on wheat leaf rust adult plant resistance in Uruguay. Euphytica. https://doi.org/10.1007/s10681-014-1343-6 [19]

Gonzalez-Barrios, P.; Speranza, P.; Glison, N.; Piccardi, M.; Balzarni, M.; Gutierrez, L. 2015 Analysis of flowering dynamics heritability in the perennial warm-season grass Paspalum dilatatum. Grass and Forage Science https://doi.org/10.1111/gfs.12159 [18]

Gutiérrez, L.‡; Germán, S.; Pereyra, S.; Hayes, PM.; Pérez, C.A.; Capettini, F.; Locatelli, A.; Berberian, N.M.; Falcioni, E.; Estrada, R.; Fros, D.; Gonza, V.; Altamirano, H.; Huerta-Espino, J.; Neyra, E.; Orjeda, G.; Sandoval-Islas, S.; Singh, R.; Turkington, K.; Castro A.J. 2015. Multi-environment multi-QTL association mapping identifies disease resistance QTLs in barley germplasm from Latin America. Theoretical and Applied Genetics 128(3): 501-516. https://doi.org/10.1007/s00122-014-2448-y [17]

Bao, L.; Scatoni, I.B.; Gaggero, C.; Gutierrez, L.; Monza, J.; Walker, M.A. 2015. Genetic Diversity of Grape Phylloxera Leaf Galling Populations on Vitis species in Uruguay. American Journal of Enology and Viticulture 66:46-53. Published ahead of print October 1, 2014. https://doi.org/10.5344/ajev.2014.14026 [16]

Glison, N.; Viega, L.; Cornaglia, P; Gutierrez, L; Speranza, P. 2015. Variability in germination behaviour of Paspalum dilatatum Poir. seeds is genotype dependent. Grass and Forage Science 70(1): 144-153. https://doi.org/10.1111/gfs.12119 [15]

Peña-Malavera, A.; Gutierrez, L.; Balzarini, M.‡ 2014. Principal Components in Associative Mapping. Journal of Basic and Applied Genetics 25(2): 34-40. [14]

Rivas, M.; Jaurena, M.; Gutierrez, L.; Barbieri, R.L. 2014. Grassland diversity under Butia odorata (Barb. Rodr.) Noblick in Uruguay (in Spanish). Agrociencia (Uruguay) 18:14-27. [13]

Picasso, V.; Modernel, P.D.; Becoña, G.; Salvo, L.; Gutierrez, L.; Astigarraga, L. 2014. Sustainability of meat production beyond carbon footprint: a synthesis of case studies from grazing systems in Uruguay. Meat Science 98(3): 346 – 354. [12]

Quero, G.; Gutierrez, L.; Lascano, R.; Monza, J.; Sandal, N.; Borsani, O., 2014. Identification of QTLs for shoot and root growth under ionic-osmotic stress in Lotus, using a RIL population. Crop and Pasture Science 65(2): 139-149. https://doi.org/10.1071/CP13222 [11]

Porta, B.; Rivas, Mercedes; Gutierrez, L.; Galván, G. 2014. Variability, Heritability, and Correlations of Agronomic Traits in an Onion Landrace and Derived S1-Lines. Crop Breeding and Applied Biotechnology 14: 29-35. [10]

Bellini, I.; Gutierrez, L.; Tarlera, S.; Fernández, A. 2013. Isolation and Functional Analysis of Denitrifiers in an Aquifer with High Potential for Denitrification. Systematic and Applied Microbiology 36 (7): 507-516. [9]

Quero, G.; Borsani, O., Gutierrez, L.; Melchiorre, M.; Monza, J.; Lascano, R. 2013. A phenotyping system for evaluating plant stress response in Lotus (in Spanish). Agrociencia (Uruguay) 17(1): 11–21. [8]

Locatelli, A.; Cuesta-Marcos, A.; Gutierrez, L.; Hayes, P.M.; Smith, K.P.; Castro, A.J. 2013. Genome- wide association mapping of agronomic traits in relevant barley germplasm in Uruguay. Molecular Breeding, 31: 631 – 654. https://doi.org/10.1007/s11032-012-9820-x [7]

Gonzalez, P.; Pérez, M.; Gutierrez, L.; Martinez, L.; Garcia-Prechac, F. 2012. Evaluation of Different Tillage Intensities on Eucalyptus grandis on a Typic Hapludult of Uruguay. Agrociencia (Uruguay). 16(3): 302-305. [6]

Gutierrez, L.; Cuesta-Marcos, A.; Castro, A.J.; Zitzewitz von, J.; Schmitt, Mark; Hayes, P.M. 2011. Association Mapping of Malting Quality Quantitative Trait Loci in Winter Barley: Positive Signals from Small Germplasm Arrays. The Plant Genome 4:256 – 272.  https://doi.org/10.3835/plantgenome2011.07.0020 [5]

Zitzewitz von, J., Cuesta-Marcos, A., Condon, F., Castro, A.J., Chao, S., Corey, A., Filichkin, T., Fisk, S.P., Gutierrez, L., Haggard, K., Karsai, I., Muehlbauer, G.J., Smith, K.P., Veisz, O., Hayes, P.M. 2011. The Genetics of Winterhardiness in Barley: Perspectives from Genome-Wide Association       Mapping.        The             Plant              Genome         4(1):               76-91. https://doi.org/10.3835/plantgenome2010.12.0030 [4]

Vidal, R., González, A., Gutierrez, L., Umana, R., Speranza, P. 2011. Genetic diversity distribution and reproductive system of Stipa neesiana Trin. et Rupr. In Uruguay (in Spanish). Agrociencia (Uruguay). 15(1): 1-12. [3]

Gutierrez, L.‡, Nason, J.D., and Jannink, J.-L. Morphological Diversity of Worldwide Barley and Mega- Targets of Selection 2009. Crop Science 49: 483-497. [2]

Gutierrez, L., Franco, J., Crossa, J., and Abadie, T. 2003. Comparing a Preliminary Racial Classification with a Numerical Classification of the Maize Landraces of Uruguay. Crop Sci. 43: 718-727. [1]