Genomic mechanisms of climate adaptation in polyploid bioenergy switchgrass JT Lovell, AH MacQueen, S Mamidi, J Bonnette, J Jenkins, JD Napier, ... Nature 590 (7846), 438-444, 2021 | 188 | 2021 |
QTL× environment interactions underlie adaptive divergence in switchgrass across a large latitudinal gradient DB Lowry, JT Lovell, L Zhang, J Bonnette, PA Fay, RB Mitchell, ... Proceedings of the National Academy of Sciences 116 (26), 12933-12941, 2019 | 83 | 2019 |
Next generation crop models: A modular approach to model early vegetative and reproductive development of the common bean (Phaseolus vulgaris L) C Hwang, MJ Correll, SA Gezan, L Zhang, MS Bhakta, CE Vallejos, ... Agricultural Systems 155, 225-239, 2017 | 42 | 2017 |
A predictive model for time-to-flowering in the common bean based on QTL and environmental variables MS Bhakta, SA Gezan, JA Clavijo Michelangeli, M Carvalho, L Zhang, ... G3: Genes, Genomes, Genetics 7 (12), 3901-3912, 2017 | 37 | 2017 |
Natural variation identifies new effectors of water-use efficiency in Arabidopsis GB Bhaskara, JR Lasky, S Razzaque, L Zhang, T Haque, JE Bonnette, ... Proceedings of the National Academy of Sciences 119 (33), e2205305119, 2022 | 17 | 2022 |
Complex interactions between day length and diurnal patterns of gene expression drive photoperiodic responses in a perennial C4 grass X Weng, JT Lovell, SL Schwartz, C Cheng, T Haque, L Zhang, ... Plant, Cell & Environment 42 (7), 2165-2182, 2019 | 17 | 2019 |
Environmentally responsive QTL controlling surface wax load in switchgrass J Bragg, P Tomasi, L Zhang, T Williams, D Wood, JT Lovell, A Healey, ... Theoretical and Applied Genetics 133, 3119-3137, 2020 | 11 | 2020 |
Climatic impact, future biomass production, and local adaptation of four switchgrass cultivars L Zhang, TE Juenger, DB Lowry, KD Behrman GCB Bioenergy 11 (8), 956-970, 2019 | 10 | 2019 |
QTL× environment interactions underlie ionome divergence in switchgrass L Zhang, A MacQueen, J Bonnette, FB Fritschi, DB Lowry, TE Juenger G3 11 (7), jkab144, 2021 | 9 | 2021 |
Mapping of genotype-by-environment interactions in phenology identifies two cues for flowering in switchgrass (Panicum virgatum) AH MacQueen, L Zhang, J Bonnette, AR Boe, PA Fay, FB Fritschi, ... BioRxiv, 2021.08. 19.456975, 2021 | 7 | 2021 |
Development of a QTL-environment-based predictive model for node addition rate in common bean L Zhang, SA Gezan, C Eduardo Vallejos, JW Jones, KJ Boote, ... Theoretical and applied genetics 130, 1065-1079, 2017 | 7 | 2017 |
A pleiotropic flowering time QTL exhibits gene-by-environment interaction for fitness in a perennial grass X Weng, T Haque, L Zhang, S Razzaque, JT Lovell, JD Palacio-Mejía, ... Molecular Biology and Evolution 39 (10), msac203, 2022 | 4 | 2022 |
The genetic basis for panicle trait variation in switchgrass (Panicum virgatum) L Zhang, A MacQueen, X Weng, KD Behrman, J Bonnette, JL Reilley, ... Theoretical and Applied Genetics 135 (8), 2577-2592, 2022 | 3 | 2022 |
Modeling genetic traits of five common bean (Phaseolus vulgaris) genotypes in multi-location trials JA Clavijo Michelangeli, KJ Boote, JW Jones, M Corell, S Gezan, ... University of Florida, 2014 | 3 | 2014 |
Sensitivity Analysis of the APEX Model for Assessing Sustainability of Switchgrass Grown for Biofuel Production in Central Texas L Zhang, TE Juenger, JM Osorio, KD Behrman BioEnergy Research 11, 69-85, 2018 | 2 | 2018 |
QTL x environment interactions for panicle traits in switchgrass (Panicum virgatum) L Zhang, X Weng, K Behrman, J Bonnette, J Reilley, F Rouquette, P Fay, ... Authorea Preprints, 2020 | 1 | 2020 |
QTL x environment interactions underlie adaptive divergence in switchgrass across ten field sites distributed over a large latitudinal gradient DB Lowry, JT Lovell, L Zhang, J Bonnette, PA Fay, RB Mitchell, ... | | 2019 |
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