Scientific Publications
Acosta-Gamboa LM, Campbell ZC, Gao F, Babst B, Lorence A (2022). A novel high-throughput phenotyping system for nitrogen deficiency studies in Arabidopsis thaliana. In “High Throughput Plant Phenotyping: Reviews and Protocols” A Lorence, K Medina-Jimenez (eds). Springer, New York. https://doi.org/10.1007/978-1-0716-2537-8_1
Acosta-Gamboa LM, Liu S, Campbell ZC, Torres R, Creameans J, Yactayo-Chang JP, Lorence A (2020). Characterization of the response to abiotic stresses of high ascorbate Arabidopsis lines using phenomic approaches. Plant Physiology and Biochemistry 151: 500–505. https://doi.org/10.1016/j.plaphy.2020.03.038
Acosta-Gamboa LM, Liu S, Langley E, Campbell Z, Castro-Guerrero N, Mendoza-Cózatl D, Lorence A (2017). Moderate to severe water limitation differentially affects the phenome and ionome of Arabidopsis. Functional Plant Biology 44: 94–106. https://doi.org/10.1071/fp16172
Babst BA, Gao F, Acosta-Gamboa LM, Karve A, Schueller MJ, Lorence A (2019). Three NPF genes in Arabidopsis are necessary for normal nitrogen cycling under low nitrogen stress. Plant Physiology and Biochemistry 143: 1–10. https://doi.org/10.1016/j.plaphy.2019.08.014
Campbell ZC, Acosta-Gamboa LM, Nepal N, Lorence A (2018). Engineering plants for tomorrow: how high-throughput phenotyping is contributing to the development of better crops. Phytochemistry Reviews 17: 1329–1343 https://doi.org/10.1007/s11101-018-9585-x
Gehan MA, Fahlgren N, Abbasi A, Berry JC, Callen ST, Chavez L, Doust A, Feldman MJ, Gilbert KB, Hodge J, Hoyer JS, Lin A, Liu, Lizarraga C, Lorence A, Miller M, Platon E, Tessman M, Sax T (2017). PlantCV v2.0: Image Analysis Software for High-Throughput Plant Phenotyping. PeerJ 5: e4088. https://doi.org/10.7717/peerj.4088
Goggin FL, Lorence A, Topp C (2015). Applying high-throughput phenotyping to plant–insect interactions: picturing more resistant crops Current Opinion Insect Science 9, 69–76. https://doi.org/10.1016/j.cois.2015.03.002
Hawkesford ML, Lorence A (2017). Plant phenotyping: increasing throughput and precision at multiple scales. Functional Plant Biology 44: v–vii. https://doi.org/10.1071/fpv44n1_fo
Lellis AD, Patrick RM, Mayberry LK, Lorence A, Campbell ZC, Roose JL, Frankel LK, Bricker TM, Hellmann HA, Mayberry RW, Solis-Zavala A, Choy GSO, Wiley DC, Abdul-Moheeth M, Masood A, Browning KS (2019). eIFiso4G augments the synthesis of specific plant proteins involved in normal chloroplast function. Plant Physiology 181(1): 85–96. https://doi.org/10.1104/pp.19.00557
Liu S, Acosta-Gamboa LM, Huang X, Lorence A (2017). Novel low cost 3D surface model reconstruction system for plant phenotyping. Journal of Imaging 3, 39. https://doi.org/10.3390/jimaging3030039
Medina-Jimenez K, Campbell ZC, Arteaga-Vazquez MA, Lorence A (2022). High throughout phenotyping for Marchantia. In “High Throughput Plant Phenotyping: Reviews and Protocols” A Lorence, K Medina-Jimenez (eds). Springer, New York. https://doi.org/10.1007/978-1-0716-2537-8_1
Medina-Jimenez K, Hale B, Cerquera-Hernandez C, Gesto-Borroto R, Lorence A. A prebiotic-based biostimulant enhances growth parameters, photosynthetic efficiency, and grain yield in rice. Stress Biology (submitted 4/24/24).
Nepal N, Yactayo-Chang JP, Acosta-Gamboa LM, Medina-Jiménez K, González-Romero MA, Arteaga-Vazquez MA, Lorence A (2019). Mechanisms underlying the enhanced biomass and abiotic stress tolerance phenotype of Arabidopsis MIOX over-expressers. Plant Direct; 3: 1–27. https://doi.org/10.1002/pld3.165
Nepal N, Yactayo-Chang JP, Gable R, Wilkie A, Martin J, Aniemena CL, Gaxiola R, Lorence A (2020). Phenotypic characterization of Arabidopsis thaliana lines overexpressing AVP1 and MIOX4 in response to abiotic stresses. Applications in Plant Sciences 8(8): e11384. https://doi.org/10.1002/aps3.11384
