Items where Author is "Paccapelo, Valeria"

Article

Dreccer, M. F., Macdonald, B., Farnsworth, C. A., Paccapelo, V., Awasi, M. A., Condon, A. G., Forrest, K., Lee Long, I. and McIntyre, C. L. (2022) Multi-donor × elite-based populations reveal QTL for low-lodging wheat. Theoretical and Applied Genetics, 135 (5). pp. 1685-1703. https://doi.org/10.1007/s00122-022-04063-6

Paccapelo, V., Kelly, A. M., Christopher, J. T. and Verbyla, A. P. (2022) WGNAM: whole-genome nested association mapping. Theoretical and Applied Genetics, 135 . pp. 2213-2232. https://doi.org/10.1007/s00122-022-04107-x

Christopher, M. J., Paccapelo, V., Kelly, A. M., Macdonald, B., Hickey, L., Richard, C., Verbyla, A., Chenu, K., Borrell, A., Amin, A. and Christopher, J. (2021) QTL identified for stay-green in a multi-reference nested association mapping population of wheat exhibit context dependent expression and parent-specific alleles. Field Crops Research, 270 . p. 108181. https://doi.org/10.1016/j.fcr.2021.108181

Dreccer, F., Macdonald, B., Condon, A. G., Rebetzke, G. J., McIntyre, C. L., Paccapelo, V., Peake, A. S. and Forrest, K. (2020) Better wheat germplasm for good seasons and high inputs. GRDC Update .

Christopher, J., Richard, C., Chenu, K., Christopher, M. J., Paccapelo, V., Borrell, A. and Hickey, L. (2019) Combining Trait Physiology, Crop Modelling and Molecular Genetics to Improve Wheat Adaptation to Terminal Water-Stress Targeting Stay-Green and Root Traits. Proceedings, 36 (1). p. 196. https://doi.org/10.3390/proceedings2019036196

Conference or Workshop Item

Christopher, J., Richard, C., Chenu, K., Christopher, M. J., Paccapelo, V., Borrell, A. K. and Hickey, L. (2020) Genomics of Root and Stay-Green Traits to Improve Wheat Adaptation to Late Season Drought. In: Plant and Animal Genome XXVIII Conference 2020, January 11-15, 2020, San Diego, USA.

Dataset

Douglas, C. A., Martin, W., McIvor, K., Snyman, R., Agius, P., Borger, P., Singh, S., Krosch, S., Chauhan, Y. S., O'Connor, J. and Paccapelo, V. (2023) National Mungbean Improvement Program - 2016 to 2021 - Central Queensland Yield and Quality Data. [Dataset] https://doi.org/10.60699/mqhx-7784

Douglas, C. A., Martin, W., McIvor, K., Snyman, R., Agius, P., Borger, P., Singh, S., Krosch, S., Chauhan, Y. S., O'Connor, J. and Paccapelo, V. (2023) National Mungbean Improvement Program - 2016 to 2021 - Diseases. [Dataset] https://doi.org/10.60699/n3zp-ya26

Douglas, C. A., Martin, W., McIvor, K., Snyman, R., Agius, P., Borger, P., Singh, S., Krosch, S., Chauhan, Y. S., O'Connor, J. and Paccapelo, V. (2023) National Mungbean Improvement Program - 2016 to 2021 - NSW Yield and Quality Data. [Dataset] https://doi.org/10.60699/mf8h-9k03

Douglas, C. A., Martin, W., McIvor, K., Snyman, R., Agius, P., Borger, P., Singh, S., Krosch, S., Chauhan, Y. S., O'Connor, J. and Paccapelo, V. (2023) National Mungbean Improvement Program - 2016 to 2021 - Southern Queensland Yield and Quality Data. [Dataset] https://doi.org/10.60699/an4v-kx16