| Analyzing the heterogeneity of farmers’ preferences for improvements in dairy cow traits using farmer typologies D Martin-Collado, TJ Byrne, PR Amer, BFS Santos, M Axford, JE Pryce Journal of dairy science 98 (6), 4148-4161, 2015 | 116 | 2015 |
| New breeding objectives and selection indices for the Australian dairy industry TJ Byrne, BFS Santos, PR Amer, D Martin-Collado, JE Pryce, M Axford Journal of dairy Science 99 (10), 8146-8167, 2016 | 106 | 2016 |
| Symposium review: Building a better cow—The Australian experience and future perspectives JE Pryce, TTT Nguyen, M Axford, G Nieuwhof, M Shaffer Journal of dairy science 101 (4), 3702-3713, 2018 | 60 | 2018 |
| Predicting milk fatty acids and energy balance of dairy cows in Australia using milk mid-infrared spectroscopy PN Ho, LC Marett, WJ Wales, M Axford, EM Oakes, JE Pryce Animal production science 60 (1), 164-168, 2019 | 11 | 2019 |
| Impact of a multiple-test strategy on breeding index development for the Australian dairy industry M Axford, B Santos, K Stachowicz, C Quinton, JE Pryce, P Amer Animal Production Science, 2021 | 10 | 2021 |
| Demonstrating the value of herd improvement in the Australian dairy industry JE Newton, MM Axford, PN Ho, JE Pryce Animal Production Science 61 (3), 220-229, 2020 | 8 | 2020 |
| High genetic merit dairy cows contribute more to farm profit: case studies of 3 Australian dairy herds. JE Newton, ME Goddard, HN Phuong, MA Axford, CKM Ho, NC Nelson, ... | 8 | 2017 |
| Adoption challenges associated with adding new traits to existing selection indices M Axford Proceedings of the World Congress on Genetics Applied to Livestock …, 2018 | 2 | 2018 |
| Evaluating dairy herd genetic progress. MM Axford, PW Williams, DP Abernethy, GJ Nieuwhof | 2 | 2015 |
| A review of the national breeding objective and selection indexes for the Australian dairy industry. T Byrne, D Martin-Collado, B Santos, P Amer, J Pryce, M Axford | 2 | 2015 |
| Dairyfarmer perceptions and attitudes to female genomic testing. LC Monks, BA Scott, SL Bullen, JJ Andony, MM Axford | 1 | 2021 |
| National breeding indices work at the individual farm level: 28 case studies from the Australian dairy industry's ImProving Herds Project J Newton, HN Phuong, M Axford Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018 | 1 | 2018 |
| Genetic parameters and evaluation of mortality and slaughter rate in Holstein and Jersey cows M Haile-Mariam, M Khansefid, M Axford, ME Goddard, JE Pryce Journal of Dairy Science 106 (11), 7880-7892, 2023 | | 2023 |
| Genetic evaluation of longevity using productive life and survival scores in Australian Holstein cattle: prediction of early survival. M Haile-Mariam, M Khansefid, M Axford, ME Goddard, JE Pryce | | 2023 |
| The highs and lows of recording calf and calving traits. M Axford, M Khansefid, E Jewell, A Chamberlain, JE Pryce | | 2023 |
| Improving accuracy and stability of genetic predictions for dairy cow survival M Khansefid, JE Pryce, S Shahinfar, M Axford, ME Goddard, ... Animal Production Science 63 (11), 1031-1042, 2023 | | 2023 |
| Impact of industry effort to increase dairy heifer genomic testing in Australia M Abdelsayed, MM Axford, GJ Nieuwhof Proceedings of 12th World Congress on Genetics Applied to Livestock …, 2022 | | 2022 |
| Stillbirth, dystocia and weaning rates in Australian dairy calves MM Axford, JE Pryce, M Khansefid, M Haile-Mariam Proceedings of 12th World Congress on Genetics Applied to Livestock …, 2022 | | 2022 |
| The value proposition for using genomics to confirm parentage in Australian dairy systems JE Newton, MM Axford, JE Pryce, SL Bullen, M Haile-Mariam Proceedings of 12th World Congress on Genetics Applied to Livestock …, 2022 | | 2022 |
| The role of recording and evaluating calf traits for improved sustainability M Axford, M Khansefid, J Pryce 45th ICAR Annual Conference 26, 332, 2022 | | 2022 |
Jennie PryceLa Trobe UniversityVerified email at latrobe.edu.au
