2026
Espina, M.J.C., A.J. Lorenz, and R.M. Stupar. 2026. Molecular polymorphisms that underlie trait variation in crops: Lessons learned from soybean. Plant Genome 19(1): e70173. doi: 10.1002/tpg2.70173.
2025
Adjeiwaa, E.O., L.M. Roberts, A. Lorenz, and R.L. Koch. 2025. Potential of Relay-Cropping Soybean (Fabales: Fabaceae) with a Pennycress (Brassicales: Brassicaceae) Cover Crop to Suppress Soybean Aphid (Hemiptera: Aphididae) Populations1. J. Entomol. Sci. 1(aop). doi: 10.18474/JES25-12.
Brault, C., E.J. Conley, A.J. Green, K.D. Glover, J.P. Cook, et al. 2025. Leveraging historical trials to predict Fusarium head blight resistance in spring wheat breeding programs. Plant Genome 18(1): e20559. doi: 10.1002/tpg2.20559.
Carvalho, C.G.P., C.D. Cruz, C. Arias, and J. Lorenz. 2025. Genomic prediction yield components soybean under Asian soybean rust pressure early- generation selection. Australian Journal Crop Science 19(04): 351–360.
Gill, H.S., S. Blecha, C. Brault, K. Glover, A. Green, et al. 2025. Genetic gains from 60 years of spring wheat breeding in the Northern Plains of the United States. Crop Sci. 65(4). doi: 10.1002/csc2.70106.
Liu, J., R. Kumar, S. Gunapati, S. Mulkey, Y. Qiu, et al. 2025. Genomic and biochemical comparison of allelic triple-mutant lines derived from conventional breeding and multiplex gene editing. Plant Genome 18(2): e70056. doi: 10.1002/tpg2.70056.
Ramasubramanian, V., C.A. Wartha, L. Singh, P. Vitale, S. Ru, et al. 2025. GS4PB: An R Shiny application to facilitate a genomic selection pipeline for plant breeding. Plant Genome 18(4): e70150. doi: 10.1002/tpg2.70150.
Taniguchi, S., T. Hayashi, H. Nakagawa, K. Matsushita, H. Kajiya-Kanegae, et al. 2025. Modelling and using spatial effects in nationwide historical data improve genomic prediction of rice heading date in Japan. Rice (N. Y.) 18(1): 27. doi: 10.1186/s12284-025-00778-4.
Van der Laan, L., K. Parmley, M. Saadati, H. Torres Pacin, S. Panthulugiri, et al. 2024. Genomic and phenomic prediction for soybean seed yield, protein, and oil. Plant Genome 18(1): e70002. doi: 10.1002/tpg2.70002.
Wartha, C.A., B.W. Campbell, V. Ramasubramanian, L. Nice, A. Brock, et al. 2025. Genomic analysis and predictive modeling in the Northern Uniform Soybean Tests. Crop Sci. 65(5). doi: 10.1002/csc2.70138.
2024
R. M. Stupar, A. M. Locke, D. K. Allen, M. G. Stacey, J. Ma, J. Weiss, R. T. Nelson, M. E. Hudson, T. Joshi, Z. Li, Q. Song, J. R. Jedlicka, G. C. MacIntosh, D. Grant, W. A. Parrott, T. E. Clemente, G. Stacey, Y.-Q. C. An, J. Aponte-Rivera, M. K. Bhattacharyya, I. Baxter, K. D. Bilyeu, J. D. Campbell, S. B. Cannon, S. J. Clough, S. J. Curtin, B. W. Diers, A. E. Dorrance, J. D. Gillman, G. L. Graef, C. N. Hancock, K. A. Hudson, D. L. Hyten, A. Kachroo, J. Koebernick, M. Libault, A. J. Lorenz, A. L. Mahan, J. M. Massman, M. McGinn, K. Meksem, J. K. Okamuro, K. F. Pedley, K. M. Rainey, A. M. Scaboo, J. Schmutz, B.-H. Song, A. D. Steinbrenner, B. B. Stewart-Brown, K. Toth, D. Wang, L. Weaver, B. Zhang, M. A. Graham, J. A. O’Rourke, Soybean genomics research community strategic plan: A vision for 2024-2028. Plant Genome 17, e20516 (2024).
P. Vitale, G. Laidò, G. Dono, I. Pecorella, V. Ramasubramanian, A. Lorenz, P. De Vita, N. Pecchioni, Univariate and multivariate genomic prediction for agronomic traits in durum wheat under two field conditions. PLoS One 19, e0310886 (2024).
L. Van der Laan, K. Parmley, M. Saadati, H. Torres Pacin, S. Panthulugiri, S. Sarkar, B. Ganapathysubramanian, A. J. Lorenz, A. K. Singh, Genomic and phenomic prediction for soybean seed yield, protein, and oil, bioRxiv (2024)p. 2024.11.01.621550.
D. Monnens, J. R. López, E. McCoy, B. G. Tamang, A. J. Lorenz, W. Sadok, High-throughput phenotyping of soybean (Glycine max) transpiration response curves to rising atmospheric drying in a mapping population. Funct. Plant Biol. 51 (2024).
M. J. C. Espina, J. T. Lovell, J. Jenkins, S. Shu, A. Sreedasyam, B. D. Jordan, J. Webber, L. Boston, T. Brůna, J. Talag, D. Goodstein, J. Grimwood, G. Stacey, S. B. Cannon, A. J. Lorenz, J. Schmutz, R. M. Stupar, Assembly, comparative analysis, and utilization of a single haplotype reference genome for soybean. Plant J. 120, 1221–1235 (2024).
C. A. Wartha, A. J. Lorenz, Genomic predictions of genetic variances and correlations among traits for breeding crosses in soybean. Heredity (Edinb.) 133, 173–185 (2024).
S. Sreekanta, A. Haaning, A. Dobbels, R. O’Neill, A. Hofstad, K. Virdi, F. Katagiri, R. M. Stupar, G. J. Muehlbauer, A. J. Lorenz, Variation in shoot architecture traits and their relationship to canopy coverage and light interception in soybean (Glycine max). BMC Plant Biol. 24, 194 (2024).
2023
A. Mahmood, K. D. Bilyeu, M. Škrabišová, J. Biová, E. J. De Meyer, C. G. Meinhardt, M. Usovsky, Q. Song, A. J. Lorenz, M. G. Mitchum, G. Shannon, A. M. Scaboo, Cataloging SCN resistance loci in North American public soybean breeding programs. Front. Plant Sci. 14, 1270546 (2023).
C. M. Lamkey, A. J. Lorenz, A genomic analysis of the University of Nebraska Replicated Recurrent Selection program. Züchter Genet. Breed. Res. 136, 243 (2023).
K. S. Virdi, S. Sreekanta, A. Dobbels, A. Haaning, D. Jarquin, R. M. Stupar, A. J. Lorenz, G. J. Muehlbauer, Branch angle and leaflet shape are associated with canopy coverage in soybean. Plant Genome 16, e20304 (2023).
E. Gilbert, R. Merry, B. W. Campbell, R. M. Stupar, A. J. Lorenz, A genome-wide analysis of the USDA Soybean Isoline Collection. Plant Genome 16, e20310 (2023).
H. Wang, B. Campbell, M. Happ, S. McConaughy, A. Lorenz, K. Amundsen, Q. Song, V. Pantalone, D. Hyten, Development of molecular inversion probes for soybean progeny genomic selection genotyping. Plant Genome 16, e20270 (2023).
2022
N. Dietz, Y. O. Chan, A. Scaboo, G. Graef, D. Hyten, M. Happ, B. Diers, A. Lorenz, D. Wang, T. Joshi, K. Bilyeu, Candidate genes modulating reproductive timing in elite US soybean lines identified in soybean alleles of Arabidopsis flowering orthologs with divergent latitude distribution. Front. Plant Sci. 13, 889066 (2022).
V. M. Moore, B. Schlautman, S.-Z. Fei, L. M. Roberts, M. Wolfe, M. R. Ryan, S. Wells, A. J. Lorenz, Plant breeding for intercropping in temperate field crop systems: A review. Front. Plant Sci. 13, 843065 (2022).
R. Merry, M. J. Espina, A. J. Lorenz, R. M. Stupar, Development of a controlled-environment assay to induce iron deficiency chlorosis in soybean by adjusting calcium carbonates, pH, and nodulation. Plant Methods 18, 36 (2022).
R. Merry, A. A. Dobbels, W. Sadok, S. Naeve, R. M. Stupar, A. J. Lorenz, Iron deficiency in soybean. Crop Sci., doi: 10.1002/csc2.20661 (2022).
N. B. Bandillo, D. Jarquin, L. G. Posadas, A. J. Lorenz, G. L. Graef, Genomic selection performs as effectively as phenotypic selection for increasing seed yield in soybean. Plant Genome 16, e20285 (2022).
S. J. Bhusal, J. Orf, A. J. Lorenz, Registration of M10‐207102 soybean germplasm: A high‐yielding, early‐maturity line with elevated protein. J. Plant Regist. 16, 132–136 (2022).
2021
C. A. Wartha, A. J. Lorenz, Implementation of genomic selection in public-sector plant breeding programs: Current status and opportunities. Crop Breed. Appl. Biotechnol. 21, e394621S15 (2021).
J. A. O’Rourke, M. J. Morrisey, R. Merry, M. J. Espina, A. J. Lorenz, R. M. Stupar, M. A. Graham, Mining Fiskeby III and Mandarin (Ottawa) expression profiles to understand iron stress tolerant responses in soybean. Int. J. Mol. Sci. 22, 11032 (2021).
S. E. McGaugh, A. J. Lorenz, L. E. Flagel, The utility of genomic prediction models in evolutionary genetics. Proc. Biol. Sci. 288, 20210693 (2021).
S. J. Bhusal, R. L. Koch, A. J. Lorenz, Variation in soybean aphid (Hemiptera: Aphididae) biotypes within fields. J. Econ. Entomol. 114, 1336–1344 (2021).
D. Jarquin, N. de Leon, C. Romay, M. Bohn, E. S. Buckler, I. Ciampitti, J. Edwards, D. Ertl, S. Flint-Garcia, M. A. Gore, C. Graham, C. N. Hirsch, J. B. Holland, D. Hooker, S. M. Kaeppler, J. Knoll, E. C. Lee, C. J. Lawrence-Dill, J. P. Lynch, S. P. Moose, S. C. Murray, R. Nelson, T. Rocheford, J. C. Schnable, P. S. Schnable, M. Smith, N. Springer, P. Thomison, M. Tuinstra, R. J. Wisser, W. Xu, J. Yu, A. Lorenz, Utility of climatic information via combining ability models to improve genomic prediction for yield within the Genomes to Fields maize project. Front. Genet. 11, 592769 (2021).
D. C. Kadam, O. R. Rodriguez, A. J. Lorenz, Optimization of training sets for genomic prediction of early-stage single crosses in maize. Züchter Genet. Breed. Res. 134, 687–699 (2021).
L. Volpato, A. Dobbels, A. Borem, A. J. Lorenz, Optimization of temporal UAS‐based imagery analysis to estimate plant maturity date for soybean breeding. The Plant Phenome Journal 4 (2021).
2020
Z. Li, S. B. Tirado, D. C. Kadam, L. Coffey, N. D. Miller, E. P. Spalding, A. J. Lorenz, N. de Leon, S. M. Kaeppler, P. S. Schnable, N. M. Springer, C. N. Hirsch, Characterizing introgression-by-environment interactions using maize near isogenic lines. Züchter Genet. Breed. Res. 133, 2761–2773 (2020).
W. S. Ravelombola, J. Qin, A. Shi, L. Nice, Y. Bao, A. Lorenz, J. H. Orf, N. D. Young, S. Chen, Genome-wide association study and genomic selection for tolerance of soybean biomass to soybean cyst nematode infestation. PLoS One 15, e0235089 (2020).
G. P. Ramstein, S. J. Larsson, J. P. Cook, J. W. Edwards, E. S. Ersoz, S. Flint-Garcia, C. A. Gardner, J. B. Holland, A. J. Lorenz, M. D. McMullen, M. J. Millard, T. R. Rocheford, M. R. Tuinstra, P. J. Bradbury, E. S. Buckler, M. C. Romay, Dominance effects and functional enrichments improve prediction of agronomic traits in hybrid maize. Genetics 215, 215–230 (2020).
P. Wang, E. L. Marsh, G. Kruger, A. Lorenz, D. P. Schachtman, Belowground microbial communities respond to water deficit and are shaped by decades of maize hybrid breeding. Environ. Microbiol. 22, 889–904 (2020).
B. A. McFarland, N. AlKhalifah, M. Bohn, J. Bubert, E. S. Buckler, I. Ciampitti, J. Edwards, D. Ertl, J. L. Gage, C. M. Falcon, S. Flint-Garcia, M. A. Gore, C. Graham, C. N. Hirsch, J. B. Holland, E. Hood, D. Hooker, D. Jarquin, S. M. Kaeppler, J. Knoll, G. Kruger, N. Lauter, E. C. Lee, D. C. Lima, A. Lorenz, J. P. Lynch, J. McKay, N. D. Miller, S. P. Moose, S. C. Murray, R. Nelson, C. Poudyal, T. Rocheford, O. Rodriguez, M. C. Romay, J. C. Schnable, P. S. Schnable, B. Scully, R. Sekhon, K. Silverstein, M. Singh, M. Smith, E. P. Spalding, N. Springer, K. Thelen, P. Thomison, M. Tuinstra, J. Wallace, R. Walls, D. Wills, R. J. Wisser, W. Xu, C.-T. Yeh, N. de Leon, Maize genomes to fields (G2F): 2014-2017 field seasons: genotype, phenotype, climatic, soil, and inbred ear image datasets. BMC Res. Notes 13, 71 (2020).
2019
W. S. Ravelombola, J. Qin, A. Shi, L. Nice, Y. Bao, A. Lorenz, J. H. Orf, N. D. Young, S. Chen, Genome-wide association study and genomic selection for soybean chlorophyll content associated with soybean cyst nematode tolerance. BMC Genomics 20, 904 (2019).
R. Merry, K. Butenhoff, B. W. Campbell, J.-M. Michno, D. Wang, J. H. Orf, A. J. Lorenz, R. M. Stupar, Identification and fine‐mapping of a soybean quantitative trait locus on chromosome 5 conferring tolerance to iron deficiency chlorosis. Plant Genome 12 (2019).
J. L. Neyhart, A. J. Lorenz, K. P. Smith, Multi-trait improvement by predicting genetic correlations in breeding crosses. G3 (Bethesda) 9, 3153–3165 (2019).
A. Singh, G. Li, A. B. Brohammer, D. Jarquin, C. N. Hirsch, J. R. Alfano, A. J. Lorenz, Genome-wide association and gene co-expression network analyses reveal complex genetics of resistance to Goss’s wilt of maize. G3 (Bethesda) 9, 3139–3152 (2019).
A. A. Dobbels, A. J. Lorenz, Soybean iron deficiency chlorosis high throughput phenotyping using an unmanned aircraft system. Plant Methods 15, 97 (2019).
H. Jo, A. J. Lorenz, K. M. Rainey, J. G. Shannon, P. Chen, K. D. Bilyeu, Environmental stability study of soybeans with modified carbohydrate profiles in maturity groups 0 to V. Crop Sci. 59, 1531–1543 (2019).
D. C. Kadam, A. J. Lorenz, Evaluation of nonparametric models for genomic prediction of early‐stage single crosses in maize. Crop Sci. 59, 1411–1423 (2019).
R. Della Coletta, C. N. Hirsch, M. N. Rouse, A. Lorenz, D. F. Garvin, Genomic dissection of nonhost resistance to wheat stem rust in Brachypodium distachyon. Mol. Plant. Microbe. Interact. 32, 392–400 (2019).
2018
A. A. Hanson, A. J. Lorenz, L. S. Hesler, S. J. Bhusal, R. Bansal, A. P. Michel, G.-L. Jiang, R. L. Koch, Genome-wide association mapping of host-plant resistance to soybean aphid. Plant Genome 11, 180011 (2018).
N. AlKhalifah, D. A. Campbell, C. M. Falcon, J. M. Gardiner, N. D. Miller, M. C. Romay, R. Walls, R. Walton, C.-T. Yeh, M. Bohn, J. Bubert, E. S. Buckler, I. Ciampitti, S. Flint-Garcia, M. A. Gore, C. Graham, C. Hirsch, J. B. Holland, D. Hooker, S. Kaeppler, J. Knoll, N. Lauter, E. C. Lee, A. Lorenz, J. P. Lynch, S. P. Moose, S. C. Murray, R. Nelson, T. Rocheford, O. Rodriguez, J. C. Schnable, B. Scully, M. Smith, N. Springer, P. Thomison, M. Tuinstra, R. J. Wisser, W. Xu, D. Ertl, P. S. Schnable, N. De Leon, E. P. Spalding, J. Edwards, C. J. Lawrence-Dill, Maize Genomes to Fields: 2014 and 2015 field season genotype, phenotype, environment, and inbred ear image datasets. BMC Res. Notes 11, 452 (2018).
I. S. Elbasyoni, A. J. Lorenz, M. Guttieri, K. Frels, P. S. Baenziger, J. Poland, E. Akhunov, A comparison between genotyping-by-sequencing and array-based scoring of SNPs for genomic prediction accuracy in winter wheat. Plant Sci. 270, 123–130 (2018).
J. Luetchens, A. J. Lorenz, Changes in dynamic leaf traits in maize associated with year of hybrid release. Crop Sci. 58, 551–563 (2018).
A. Xavier, D. Jarquin, R. Howard, V. Ramasubramanian, J. E. Specht, G. L. Graef, W. D. Beavis, B. W. Diers, Q. Song, P. B. Cregan, R. Nelson, R. Mian, J. G. Shannon, L. McHale, D. Wang, W. Schapaugh, A. J. Lorenz, S. Xu, W. M. Muir, K. M. Rainey, Genome-wide analysis of grain yield stability and environmental interactions in a multiparental soybean population. G3 (Bethesda) 8, 519–529 (2018).
V. Belamkar, M. J. Guttieri, I. El-Basyoni, W. Hussain, D. Jarquin, N. Garst, M. Wang, J. Poland, P. S. Lorenz, Evaluation implementation genomic selection preliminary yield trials University Nebraska winter wheat breeding program G3. Genes, doi: 10.1534/g3.118.200415 (2018).
2017
N. B. Bandillo, J. E. Anderson, M. B. Kantar, R. M. Stupar, J. E. Specht, G. L. Graef, A. J. Lorenz, Dissecting the genetic basis of local adaptation in soybean. Sci. Rep. 7, 17195 (2017).
J. L. Gage, D. Jarquin, C. Romay, A. Lorenz, E. S. Buckler, S. Kaeppler, N. Alkhalifah, M. Bohn, D. A. Campbell, J. Edwards, D. Ertl, S. Flint-Garcia, J. Gardiner, B. Good, C. N. Hirsch, J. Holland, D. C. Hooker, J. Knoll, J. Kolkman, G. Kruger, N. Lauter, C. J. Lawrence-Dill, E. Lee, J. Lynch, S. C. Murray, R. Nelson, J. Petzoldt, T. Rocheford, J. Schnable, P. S. Schnable, B. Scully, M. Smith, N. M. Springer, S. Srinivasan, R. Walton, T. Weldekidan, R. J. Wisser, W. Xu, J. Yu, N. de Leon, The effect of artificial selection on phenotypic plasticity in maize. Nat. Commun. 8 (2017).
N. B. Bandillo, A. J. Lorenz, G. L. Graef, D. Jarquin, D. L. Hyten, R. L. Nelson, J. E. Specht, Genome-wide association mapping of qualitatively inherited traits in a germplasm collection. Plant Genome 10, lantgenome2016.06.0054 (2017).
M. T. Campbell, N. Bandillo, F. R. A. Al Shiblawi, S. Sharma, K. Liu, Q. Du, A. J. Schmitz, C. Zhang, A.-A. Véry, A. J. Lorenz, H. Walia, Allelic variants of OsHKT1;1 underlie the divergence between indica and japonica subspecies of rice (Oryza sativa) for root sodium content. PLoS Genet. 13, e1006823 (2017).
J. L. Neyhart, T. Tiede, A. J. Lorenz, K. P. Smith, Evaluating methods of updating training data in long-term Genomewide selection. G3 (Bethesda) 7, 1499–1510 (2017).
2016
D. C. Kadam, S. M. Potts, M. O. Bohn, A. E. Lipka, A. J. Lorenz, Genomic prediction of single crosses in the early stages of a maize hybrid breeding pipeline. G3 (Bethesda) 6, 3443–3453 (2016).
A. Singh, A. P. Andersen, T. A. Jackson-Ziems, A. J. Lorenz, Mapping quantitative trait loci for resistance to goss’s bacterial wilt and leaf blight in north American maize by joint linkage analysis. Crop Sci. 56, 2306–2313 (2016).
D. Jarquin, J. Specht, A. Lorenz, Prospects of genomic prediction in the USDA Soybean Germplasm Collection: Historical data creates robust models for enhancing selection of accessions. G3 (Bethesda) 6, 2329–2341 (2016).
2015
M. L. Ali, J. Luetchens, J. Nascimento, T. M. Shaver, G. R. Kruger, A. J. Lorenz, Genetic variation in seminal and nodal root angle and their association with grain yield of maize under water-stressed field conditions. Plant Soil 397, 213–225 (2015).
A. J. Lorenz, K. P. Smith, Adding genetically distant individuals to training populations reduces genomic prediction accuracy in barley. Crop Sci. 55, 2657–2667 (2015).
N. Bandillo, D. Jarquin, Q. Song, R. Nelson, P. Cregan, J. Specht, A. Lorenz, A population structure and genome-wide association analysis on the USDA soybean germplasm collection. Plant Genome 8, eplantgenome2015.04.0024 (2015).
C. Detweiler, J.-P. Ore, D. Anthony, S. Elbaum, A. Burgin, A. Lorenz, Environmental reviews and case studies: Bringing unmanned aerial systems closer to the environment. Environ. Pract. 17, 188–200 (2015).
A. J. Lorenz, T. M. Beissinger, R. R. Silva, N. de Leon, Selection for silage yield and composition did not affect genomic diversity within the Wisconsin Quality Synthetic maize population. G3 (Bethesda) 5, 541–549 (2015).
T. T. Kumssa, P. S. Baenziger, M. N. Rouse, M. Guttieri, I. Dweikat, G. Brown-Guedira, S. Williamson, R. A. Graybosch, S. N. Wegulo, A. J. Lorenz, J. Poland, Characterization of stem rust resistance in wheat cultivar Gage. Crop Sci. 55, 229–239 (2015).
M. L. Ali, T. M. Singh, G. R. Shaver, J. Kruger, Lorenz, Screening genetic variation maize deep root mass other root traits greenhouse association grain yield under water-stressed field conditions. Euphytica, doi: 10.1007/s10681-015-1533-x (2015).
2014
D. Anthony, S. Elbaum, A. Lorenz, C. Detweiler, “On crop height estimation with UAVs” in 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IEEE, 2014; http://dx.doi.org/10.1109/iros.2014.6943245).
D. Jarquín, K. Kocak, L. Posadas, K. Hyma, J. Jedlicka, G. Graef, A. Lorenz, Genotyping by sequencing for genomic prediction in a soybean breeding population. BMC Genomics 15, 740 (2014).
C. M. J. Lamkey, Lorenz, relative effect selection drift establishing population structure within University Nebraska Replicated Recurrent Selection Program. Crop Sci 54, 576–585 (2014).
2013
A. Lorenz, T. Hoegemeyer, The phylogenetic relationships of US maize germplasm. Nat. Genet. 45, 844–845 (2013).
A. J. Lorenz, Resource allocation for maximizing prediction accuracy and genetic gain of genomic selection in plant breeding: a simulation experiment. G3 (Bethesda) 3, 481–491 (2013).
2012
A. J. Lorenz, K. P. Smith, J.-L. Jannink, Potential and optimization of genomic selection for Fusarium head blight resistance in six‐row barley. Crop Sci. 52, 1609–1621 (2012).
2011
L.-X. Yu, A. Lorenz, J. Rutkoski, R. P. Singh, S. Bhavani, J. Huerta-Espino, M. E. Sorrells, Association mapping and gene-gene interaction for stem rust resistance in CIMMYT spring wheat germplasm. Züchter Genet. Breed. Res. 123, 1257–1268 (2011).
2010
A. J. Lorenz, M. T. Hamblin, J.-L. Jannink, Performance of single nucleotide polymorphisms versus haplotypes for genome-wide association analysis in barley. PLoS One 5, e14079 (2010).
J.-L. Jannink, A. J. Lorenz, H. Iwata, Genomic selection in plant breeding: from theory to practice. Brief. Funct. Genomics 9, 166–177 (2010).
J. Lorenz, N. De Leon, J. G. Coors, C. N. Hansey, S. M. Kaeppler, Genetic analysis agronomic cell wall traits relevant cellulosic ethanol production maize (Zea mays L.). Crop Sci 50, 842–852 (2010).
C. N. Hansey, J. Lorenz, N. De Leon, Cell wall composition ruminal digestibility various maize tissues across development. Bioenergy 3, 28–37 (2010).
E. L. Heffner, J. Lorenz, J.-L. Jannink, M. E. Sorrells, Plant breeding genomic selection: Potential gain per unit time cost. Crop Sci 50, 1681–1690 (2010).
A. J. Lorenz, T. J. Gustafson, J. G. Coors, N. de Leon, Breeding maize for a bioeconomy: A literature survey examining harvest index and Stover yield and their relationship to grain yield. Crop Sci. 50, 1–12 (2010).
2009
E. J. Wolfrum, A. J. Lorenz, N. deLeon, Correlating detergent fiber analysis and dietary fiber analysis data for corn stover collected by NIRS. Cellulose 16, 577–585 (2009).
A. J. Lorenz, R. P. Anex, A. Isci, J. G. Coors, N. de Leon, P. J. Weimer, Forage quality and composition measurements as predictors of ethanol yield from maize (Zea mays L.) stover. Biotechnol. Biofuels 2, 5 (2009).
A. J. Lorenz, J. G. Coors, N. de Leon, E. J. Wolfrum, B. R. Hames, A. D. Sluiter, P. J. Weimer, Characterization, genetic variation, and combining ability of maize traits relevant to the production of cellulosic ethanol. Crop Sci. 49, 85–98 (2009).
2008
A. J. Lorenz, J. G. Coors, What can be learned from silage breeding programs? Appl. Biochem. Biotechnol. 148, 261–270 (2008).
A. J. Lorenz, M. P. Scott, K. R. Lamkey, Genetic variation and breeding potential of phytate and inorganic phosphorus in a maize population. Crop Sci. 48, 79–84 (2008).
2007
A. J. Lorenz, M. P. Scott, K. R. Lamkey, Quantitative determination of phytate and inorganic phosphorus for maize breeding. Crop Sci. 47, 600–604 (2007).