| Effect of fungal treatments of fibrous agricultural by-products on chemical composition and in vitro rumen fermentation and methane production DV Tuyen, HN Phuong, JW Cone, JJP Baars, ASM Sonnenberg, ... Bioresource technology 129, 256-263, 2013 | 136 | 2013 |
| Factors affecting energy and nitrogen efficiency of dairy cows: A meta-analysis HN Phuong, NC Friggens, IJM De Boer, P Schmidely Journal of dairy science 96 (11), 7245-7259, 2013 | 60 | 2013 |
| Classifying the fertility of dairy cows using milk mid-infrared spectroscopy PN Ho, V Bonfatti, TDW Luke, JE Pryce Journal of dairy science 102 (11), 10460-10470, 2019 | 37 | 2019 |
| Diagnosing the pregnancy status of dairy cows: How useful is milk mid-infrared spectroscopy? P Delhez, PN Ho, N Gengler, H Soyeurt, JE Pryce Journal of Dairy Science, 2020 | 33 | 2020 |
| Validation of milk mid-infrared spectroscopy for predicting the metabolic status of lactating dairy cows in Australia PN Ho, TDW Luke, JE Pryce Journal of Dairy Science 104 (4), 4467-4477, 2021 | 22 | 2021 |
| The use of milk mid-infrared spectroscopy to improve genomic prediction accuracy of serum biomarkers I Van den Berg, PN Ho, TDW Luke, M Haile-Mariam, S Bolormaa, ... Journal of Dairy Science 104 (2), 2008-2017, 2021 | 21 | 2021 |
| Usefulness of milk mid-infrared spectroscopy for predicting lameness score in dairy cows V Bonfatti, PN Ho, JE Pryce Journal of Dairy Science 103 (3), 2534-2544, 2020 | 18 | 2020 |
| Modelling impacts of performance on the probability of reproducing, and thereby on productive lifespan, allow prediction of lifetime efficiency in dairy cows HN Phuong, P Blavy, O Martin, P Schmidely, NC Friggens animal 10 (1), 106-116, 2016 | 17 | 2016 |
| Mitochondrial protein gene expression and the oxidative phosphorylation pathway associated with feed efficiency and energy balance in dairy cattle J Dorji, IM MacLeod, AJ Chamberlain, CJ Vander Jagt, PN Ho, ... Journal of Dairy Science 104 (1), 575-587, 2021 | 16 | 2021 |
| The use of mid-infrared spectra to map genes affecting milk composition A Benedet, PN Ho, R Xiang, S Bolormaa, M De Marchi, ME Goddard, ... Journal of dairy science 102 (8), 7189-7203, 2019 | 16 | 2019 |
| Prediction of blood β-hydroxybutyrate content and occurrence of hyperketonemia in early-lactation, pasture-grazed dairy cows using milk infrared spectra V Bonfatti, SA Turner, B Kuhn-Sherlock, TDW Luke, PN Ho, CVC Phyn, ... Journal of dairy science 102 (7), 6466-6476, 2019 | 15 | 2019 |
| GWAS and genomic prediction of milk urea nitrogen in Australian and New Zealand dairy cattle I van den Berg, PN Ho, TV Nguyen, M Haile-Mariam, IM MacLeod, ... Genetics Selection Evolution 54 (1), 15, 2022 | 14 | 2022 |
| Mining data from milk mid-infrared spectroscopy and animal characteristics to improve the prediction of dairy cow's liveweight using feature selection algorithms based on … L Zhang, A Tedde, P Ho, C Grelet, F Dehareng, E Froidmont, N Gengler, ... Computers and Electronics in Agriculture 184, 106106, 2021 | 13 | 2021 |
| Multiple country approach to improve the test-day prediction of dairy cows’ dry matter intake A Tedde, C Grelet, PN Ho, JE Pryce, D Hailemariam, Z Wang, G Plastow, ... Animals 11 (5), 1316, 2021 | 12 | 2021 |
| Predicting the likelihood of conception to first insemination of dairy cows using milk mid-infrared spectroscopy PN Ho, JE Pryce Journal of dairy science 103 (12), 11535-11544, 2020 | 12 | 2020 |
| Genetic parameters of blood urea nitrogen and milk urea nitrogen concentration in dairy cattle managed in pasture-based production systems of New Zealand and Australia I van den Berg, PN Ho, M Haile-Mariam, PR Beatson, E O’Connor, ... Animal Production Science, 2021 | 11 | 2021 |
| 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 |
| BayesR3 enables fast MCMC blocked processing for largescale multi-trait genomic prediction and QTN mapping analysis EJ Breen, IM MacLeod, PN Ho, M Haile-Mariam, JE Pryce, CD Thomas, ... Communications Biology 5 (1), 661, 2022 | 9 | 2022 |
| Validation of dairy cow bodyweight prediction using traits easily recorded by dairy herd improvement organizations and its potential improvement using feature selection algorithms A Tedde, C Grelet, PN Ho, JE Pryce, D Hailemariam, Z Wang, G Plastow, ... Animals 11 (5), 1288, 2021 | 9 | 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 |
Jennie PryceLa Trobe UniversityVerified email at latrobe.edu.au
