Items where Author is "Rawnsley, R"

Ara, I

, Harrison, MT

, Whitehead, J, Waldner, F, Bridle, K, Gilfedder, L, da Silva, JM, Marques, F and Rawnsley, R

2020 , 'Modelling seasonal pasture growth and botanical composition at the paddock scale with satellite imagery' , In Silico Plants , doi: https://doi.org/10.1093/insilicoplants/diaa013.

Chang-Fung-Martel, J, Harrison, MT

, Brown, JN, Rawnsley, R

, Smith, AP and Meinke, H

2021 , 'Negative relationship between dry matter intake and the temperature-humidity index with increasing heat stress in cattle: a global meta-analysis' , International Journal of Biometeorology , pp. 1-11 , doi: https://doi.org/10.1007/s00484-021-02167-0.

Chang-Fung-Martel, J, Harrison, MT

, Rawnsley, R

, Smith, AP and Meinke, H

2017 , 'The impact of extreme climate events on pasture-based dairy systems: a review' , Crop and Pasture Science, vol. 68, no. 12 , pp. 1158-1169 , doi: https://doi.org/10.1071/CP16394.

Togeiro de Alckmin, G, Kooistra, L, Rawnsley, R

and Lucieer, A

2021 , 'Comparing methods to estimate perennial ryegrass biomass: Canopy height and spectral vegetation indices' , Precision Agriculture, vol. 22 , pp. 205-225 , doi: https://doi.org/10.1007/s11119-020-09737-z.

Togeiro de Alckmin, G, Kooistra, L, Rawnsley, R

, de Bruin, S and Lucieer, A

2020 , 'Retrieval of hyperspectral information from multispectral data for perennial ryegrass biomass estimation' , Sensors, vol. 20, no. 24 , pp. 1-20 , doi: https://doi.org/10.3390/s20247192.

Togeiro de Alckmin, G

, Lucieer, A

, Roerink, G, Rawnsley, R

, Hoving, I and Kooistra, L 2020 , 'Retrieval of crude protein in perennial ryegrass using spectral data at the canopy level' , Remote Sensing, vol. 12, no. 18 , pp. 1-25 , doi: https://doi.org/10.3390/rs12182958.

Togeiro de Alckmin, G, Lucieer, A

, Roerink, G, Rawnsley, R

, Hoving, I and Kooistra, L 2020 , 'Retrieval of crude protein in perennial ryegrass using spectral data at the canopy level' , Remote Sensing, vol. 12, no. 18 , pp. 1-25 , doi: https://doi.org/10.3390/rs12182958.

Verdon, M

, Horton, B

and Rawnsley, R

2021 , 'A case study on the use of virtual fencing to intensively graze Angus heifers using moving front and back-fences' , Frontiers in Animal Science, vol. 2 , doi: https://doi.org/10.3389/fanim.2021.663963.

Verdon, M

, Langworthy, A

and Rawnsley, R

2021 , 'Virtual fencing technology to intensively graze lactating dairy cattle II: Effects on cow welfare and behavior' , Journal of Dairy Science , pp. 1-11 , doi: https://doi.org/10.3168/jds.2020-19797.

Verdon, M

, Lee, C, Marini, D and Rawnsley, R 2020 , 'Pre-exposure to an electrical stimulus primes associative pairing of audio and electrical stimuli for dairy heifers in a virtual fencing feed attractant trial' , Animals, vol. 10, no. 2 , pp. 1-18 , doi: https://doi.org/10.3390/ani10020217.

Verdon, M

and Rawnsley, R

2020 , 'The effects of dairy heifer age at training on rate of learning and retention of learning in a virtual fencing feed attractant trial' , Frontiers in Animal Science, vol. 1 , pp. 1-12 .

Verdon, M, Rawnsley, R

, Raedts, P

and Freeman, M

2018 , 'The behaviour and productivity of mid-lactation dairy cows provided daily pasture allowance over 2 or 7 intensively grazed strips' , Animals, vol. 8, no. 7 , pp. 1-15 , doi: https://doi.org/10.3390/ani8070115.

Watson, B, Pembleton, KG, Smith, RW

, Corkrey, R

and Rawnsley, R

2017 , 'Amino acids: a short-term nitrogen source for establishing irrigated pastures', paper presented at the 18th Australian Agronomy Conference 2017, 24-28 September 2017, Ballarat, Victoria.

University of Tasmania

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