Register      Login
Animal Production Science Animal Production Science Society
Food, fibre and pharmaceuticals from animals

Articles citing this paper

cfArticle2ecfc1291681887$funcTITLE@3fc34de0

J. E. Pryce A B and H. D. Daetwyler A
+ Author Affiliations
- Author Affiliations

A Biosciences Research Division, Department of Primary Industries, 1 Park Drive, Bundoora, Vic. 3083, Australia.

B Corresponding author. Email: jennie.pryce@dpi.vic.gov.au

Animal Production Science 52(3) 107-114 https://doi.org/10.1071/AN11098
Submitted: 3 June 2011  Accepted: 1 November 2011   Published: 9 December 2011



85 articles found in Crossref database.

A Strategy To Exploit Surrogate Sire Technology in Livestock Breeding Programs
Gottardo Paolo, Gorjanc Gregor, Battagin Mara, Gaynor R Chris, Jenko Janez, Ros-Freixedes Roger, Bruce A. Whitelaw C, Mileham Alan J, Herring William O, Hickey John M
G3 Genes|Genomes|Genetics. 2019 9(1). p.203
Genotyping strategies of selection candidates in livestock breeding programmes
Granleese Tom, Clark Samuel A., van der Werf Julius H. J.
Journal of Animal Breeding and Genetics. 2019 136(2). p.91
Genomic Selection and Prediction of Offspring Quality in Animals
Yakovlev A. F.
Herald of the Russian Academy of Sciences. 2018 88(5). p.401
The Ethics of Innovations in Genomic Selection: On How to Broaden the Scope of Discussion
Kramer K., Meijboom F. L. B.
Journal of Agricultural and Environmental Ethics. 2022 35(2).
Understanding and predicting complex traits: knowledge from cattle
Kemper K. E., Goddard M. E.
Human Molecular Genetics. 2012 21(R1). p.R45
Genomics to systems biology in animal and veterinary sciences: Progress, lessons and opportunities
Kadarmideen Haja N.
Livestock Science. 2014 166 p.232
Genomic selection using indicator traits to reduce the environmental impact of milk production
Hansen Axelsson H., Fikse W.F., Kargo M., Sørensen A.C., Johansson K., Rydhmer L.
Journal of Dairy Science. 2013 96(8). p.5306
Genotyping‐by‐sequencing through transcriptomics: implementation in a range of crop species with varying reproductive habits and ploidy levels
Malmberg M. Michelle, Pembleton Luke W., Baillie Rebecca C., Drayton Michelle C., Sudheesh Shimna, Kaur Sukhjiwan, Shinozuka Hiroshi, Verma Preeti, Spangenberg German C., Daetwyler Hans D., Forster John W., Cogan Noel O.I.
Plant Biotechnology Journal. 2018 16(4). p.877
Advances in Animal Biotechnology (2019)
Singh Birbal, Mal Gorakh, Gautam Sanjeev K., Mukesh Manishi
Canopy Temperature and Vegetation Indices from High-Throughput Phenotyping Improve Accuracy of Pedigree and Genomic Selection for Grain Yield in Wheat
Rutkoski Jessica, Poland Jesse, Mondal Suchismita, Autrique Enrique, Pérez Lorena González, Crossa José, Reynolds Matthew, Singh Ravi
G3 Genes|Genomes|Genetics. 2016 6(9). p.2799
Genetic variation and marker−trait association affect the genomic selection prediction accuracy of soybean protein and oil content
Sun Bo, Guo Rui, Liu Zhi, Shi Xiaolei, Yang Qing, Shi Jiayao, Zhang Mengchen, Yang Chunyan, Zhao Shugang, Zhang Jie, He Jianhan, Zhang Jiaoping, Su Jianhui, Song Qijian, Yan Long
Frontiers in Plant Science. 2022 13
Challenges and opportunities in genetic improvement of local livestock breeds
Biscarini Filippo, Nicolazzi Ezequiel L., Stella Alessandra, Boettcher Paul J., Gandini Gustavo
Frontiers in Genetics. 2015 6
SNPs genotyping technologies and their applications in farm animals breeding programs: review
Koopaee Hamed Kharrati, Koshkoiyeh Ali Esmailizadeh
Brazilian Archives of Biology and Technology. 2014 57(1). p.87
Genomic Selection: Status in Different Species and Challenges for Breeding
Stock KF, Reents R
Reproduction in Domestic Animals. 2013 48(s1). p.2
Handbook of Epigenetics (2017)
Ibeagha-Awemu Eveline M., Khatib Hasan
Which Individuals To Choose To Update the Reference Population? Minimizing the Loss of Genetic Diversity in Animal Genomic Selection Programs
Eynard Sonia E, Croiseau Pascal, Laloë Denis, Fritz Sebastien, Calus Mario P L, Restoux Gwendal
G3 Genes|Genomes|Genetics. 2018 8(1). p.113
Molecular tools for coral reef restoration: Beyond biomarker discovery
Parkinson John Everett, Baker Andrew C., Baums Iliana B., Davies Sarah W., Grottoli Andréa G., Kitchen Sheila A., Matz Mikhail V., Miller Margaret W., Shantz Andrew A., Kenkel Carly D.
Conservation Letters. 2020 13(1).
Applications of Omics Technology for Livestock Selection and Improvement
Chakraborty Dibyendu, Sharma Neelesh, Kour Savleen, Sodhi Simrinder Singh, Gupta Mukesh Kumar, Lee Sung Jin, Son Young Ok
Frontiers in Genetics. 2022 13
Genomic selection in maritime pine
Isik Fikret, Bartholomé Jérôme, Farjat Alfredo, Chancerel Emilie, Raffin Annie, Sanchez Leopoldo, Plomion Christophe, Bouffier Laurent
Plant Science. 2016 242 p.108
The levels of artificial insemination and missing sire information make genomic selection not always beneficial in meat sheep
Raoul J., Elsen J.M.
animal. 2021 15(2). p.100040
Genomic Selection for Crop Improvement (2017)
Grattapaglia Dario
Genomic selection in a pig population including information from slaughtered full sibs of boars within a sib-testing program
Samorè A.B., Buttazzoni L., Gallo M., Russo V., Fontanesi L.
Animal. 2015 9(5). p.750
Advances in Animal Genomics (2021)
Das D.N., Karuthadurai T., Gnanasekaran Shanmugapriya
Screening and detection of chromosomal copy number alterations in the domestic horse using SNP‐array genotyping data
Pirosanto Y., Laseca N., Valera M., Molina A., Moreno‐Millán M., Bugno‐Poniewierska M., Ross P., Azor P., Demyda‐Peyrás S.
Animal Genetics. 2021 52(4). p.431
Hot topic: Effect of breeding strategies using genomic information on fitness and health
Egger-Danner C., Willam A., Fuerst C., Schwarzenbacher H., Fuerst-Waltl B.
Journal of Dairy Science. 2012 95(8). p.4600
Genomic selection needs to be carefully assessed to meet specific requirements in livestock breeding programs
Jonas Elisabeth, Koning Dirk-Jan de
Frontiers in Genetics. 2015 6
Synthetic Animal: Trends in Animal Breeding and Genetics
Abolfazl Bahrami*, Ali Najafi
Insights in Biology and Medicine. 2019 3(1). p.007
Implementation of Genomic Prediction in Lolium perenne (L.) Breeding Populations
Grinberg Nastasiya F., Lovatt Alan, Hegarty Matt, Lovatt Andi, Skøt Kirsten P., Kelly Rhys, Blackmore Tina, Thorogood Danny, King Ross D., Armstead Ian, Powell Wayne, Skøt Leif
Frontiers in Plant Science. 2016 7
Improving grain yield, stress resilience and quality of bread wheat using large-scale genomics
Juliana Philomin, Poland Jesse, Huerta-Espino Julio, Shrestha Sandesh, Crossa José, Crespo-Herrera Leonardo, Toledo Fernando Henrique, Govindan Velu, Mondal Suchismita, Kumar Uttam, Bhavani Sridhar, Singh Pawan K., Randhawa Mandeep S., He Xinyao, Guzman Carlos, Dreisigacker Susanne, Rouse Matthew N., Jin Yue, Pérez-Rodríguez Paulino, Montesinos-López Osval A., Singh Daljit, Mokhlesur Rahman Mohammad, Marza Felix, Singh Ravi Prakash
Nature Genetics. 2019 51(10). p.1530
Animal Breeding and Genetics (2023)
Massender Erin, Brito Luiz F., Schenkel Flavio S.
The contribution of a MOET nucleus scheme for the improvement of Guzerá (Bos indicus) cattle for milk traits in Brazil
Campolina Diniz Peixoto Maria Gabriela, Carrara Eula Regina, Lopes Paulo Sávio, Tomita Bruneli Frank Ângelo, Penna Vânia Maldini
Frontiers in Genetics. 2022 13
Validation of Genotyping by Sequencing Using Transcriptomics for Diversity and Application of Genomic Selection in Tetraploid Potato
Caruana B. M., Pembleton L. W., Constable F., Rodoni B., Slater A. T., Cogan N. O. I.
Frontiers in Plant Science. 2019 10
Potential response from selection schemes based on progeny testing and genomic selection for the Chilean dairy cattle under pastoral systems: a deterministic simulation
Lembeye Felipe, López-Villalobos Nicolás, Uribe Héctor
Journal of Dairy Research. 2022 89(3). p.231
The impact of reducing the frequency of animals genotyped at higher density on imputation and prediction accuracies using ssGBLUP1
Sollero Bruna P, Howard Jeremy T, Spangler Matthew L
Journal of Animal Science. 2019 97(7). p.2780
Genomic prediction of survival time in a population of brown laying hens showing cannibalistic behavior
Alemu Setegn W., Calus Mario P. L., Muir William M., Peeters Katrijn, Vereijken Addie, Bijma Piter
Genetics Selection Evolution. 2016 48(1).
Optimization of a genomic breeding program for a moderately sized dairy cattle population
Reiner-Benaim A., Ezra E., Weller J.I.
Journal of Dairy Science. 2017 100(4). p.2892
Prospects and Challenges of Applied Genomic Selection—A New Paradigm in Breeding for Grain Yield in Bread Wheat
Juliana Philomin, Singh Ravi P., Poland Jesse, Mondal Suchismita, Crossa José, Montesinos‐López Osval A., Dreisigacker Susanne, Pérez‐Rodríguez Paulino, Huerta‐Espino Julio, Crespo‐Herrera Leonardo, Govindan Velu
The Plant Genome. 2018 11(3).
Dealing with complexity of new phenotypes in modern dairy cattle breeding
Seidel Anita, Krattenmacher Nina, Thaller Georg
Animal Frontiers. 2020 10(2). p.23
Genomic basis of European ash tree resistance to ash dieback fungus
Stocks Jonathan J., Metheringham Carey L., Plumb William J., Lee Steve J., Kelly Laura J., Nichols Richard A., Buggs Richard J. A.
Nature Ecology & Evolution. 2019 3(12). p.1686
Genomic Signatures of Selection Associated With Litter Size Trait in Jining Gray Goat
Wang Jun-Jie, Zhang Teng, Chen Qiu-Ming, Zhang Rui-Qian, Li Lan, Cheng Shun-Feng, Shen Wei, Lei Chu-Zhao
Frontiers in Genetics. 2020 11
Most of the benefits from genomic selection can be realized by genotyping a small proportion of available selection candidates1
Henryon M., Berg P., Ostersen T., Nielsen B., Sørensen A. C.
Journal of Animal Science. 2012 90(13). p.4681
Evaluation of genomic selection for replacement strategies using selection index theory
Calus M.P.L., Bijma P., Veerkamp R.F.
Journal of Dairy Science. 2015 98(9). p.6499
Comparison of Genomic Selection Models to Predict Flowering Time and Spike Grain Number in Two Hexaploid Wheat Doubled Haploid Populations
Thavamanikumar Saravanan, Dolferus Rudy, Thumma Bala R
G3 Genes|Genomes|Genetics. 2015 5(10). p.1991
Applications of genomic copy number variations on livestock: A review
Habtamu Abera Goshu, Min Chu, Ping Yan
African Journal of Biotechnology. 2018 17(43). p.1313
Effect of allele frequencies, effect sizes and number of markers on prediction of quantitative traits in chickens
Abdollahi‐Arpanahi R., Nejati‐Javaremi A., Pakdel A., Moradi‐Shahrbabak M., Morota G., Valente B.D., Kranis A., Rosa G.J.M., Gianola D.
Journal of Animal Breeding and Genetics. 2014 131(2). p.123
Including nonadditive genetic effects in mating programs to maximize dairy farm profitability
Aliloo H., Pryce J.E., González-Recio O., Cocks B.G., Goddard M.E., Hayes B.J.
Journal of Dairy Science. 2017 100(2). p.1203
Using a very low-density SNP panel for genomic selection in a breeding program for sheep
Raoul Jérôme, Swan Andrew A., Elsen Jean-Michel
Genetics Selection Evolution. 2017 49(1).
Animal-breeding schemes using genomic information need breeding plans designed to maximise long-term genetic gains
Henryon M., Berg P., Sørensen A.C.
Livestock Science. 2014 166 p.38
Invited review: A perspective on the future of genomic selection in dairy cattle
Weller J.I., Ezra E., Ron M.
Journal of Dairy Science. 2017 100(11). p.8633
The future of livestock breeding: genomic selection for efficiency, reduced emissions intensity, and adaptation
Hayes Ben J., Lewin Harris A., Goddard Michael E.
Trends in Genetics. 2013 29(4). p.206
Encyclopedia of Sustainability Science and Technology (2022)
Massender Erin, Brito Luiz F., Schenkel Flavio S.
Genomic selection of milk cattle. The practical application over five years
Smaragdov M. G.
Russian Journal of Genetics. 2013 49(11). p.1089
Demonstrating the value of herd improvement in the Australian dairy industry
Newton J. E., Axford M. M., Ho P. N., Pryce J. E.
Animal Production Science. 2021 61(3). p.220
SNP panels for the estimation of dairy breed proportion and parentage assignment in African crossbred dairy cattle
Gebrehiwot Netsanet Z., Strucken Eva M., Marshall Karen, Aliloo Hassan, Gibson John P.
Genetics Selection Evolution. 2021 53(1).
Changes in genetic trends in US dairy cattle since the implementation of genomic selection
Guinan F.L., Wiggans G.R., Norman H.D., Dürr J.W., Cole J.B., Van Tassell C.P., Misztal I., Lourenco D.
Journal of Dairy Science. 2023 106(2). p.1110
Updating the reference population to achieve constant genomic prediction reliability across generations
Pszczola M., Calus M.P.L.
Animal. 2016 10(6). p.1018
Positive Selection and Adaptive Introgression of Haplotypes from Bos indicus Improve the Modern Bos taurus Cattle
Zhang Qianqian, Schönherz Anna Amanda, Lund Mogens Sandø, Guldbrandtsen Bernt
Agriculture. 2022 12(6). p.844
Selection scheme designs for dairy cattle milked once daily in New Zealand: a deterministic approach
Lembeye Felipe, López-Villalobos Nicolás, Burke Jennifer L., Davis Steve R.
New Zealand Journal of Agricultural Research. 2021 64(1). p.127
Conservation of genetic resources of farm animals
Stolpovsky Yu. A., Beketov S. V. , Solodneva E. V. , Kuznetsov S. B.
Glavnyj zootehnik (Head of Animal Breeding). 2024 (3). p.3
Assets of imputation to ultra-high density for productive and functional traits
Jiménez-Montero J.A., Gianola D., Weigel K., Alenda R., González-Recio O.
Journal of Dairy Science. 2013 96(9). p.6047
Biopsy of bovine embryos produced in vivo and in vitro does not affect pregnancy rates
de Sousa Regivaldo Vieira, da Silva Cardoso Célia Regina, Butzke Guilberth, Dode Margot Alves Nunes, Rumpf Rodolfo, Franco Maurício Machaim
Theriogenology. 2017 90 p.25
Future livestock breeding: Precision breeding based on multi-omics information and population personalization
YANG Ya-lan, ZHOU Rong, LI Kui
Journal of Integrative Agriculture. 2017 16(12). p.2784
Population Genomics (2018)
Jonas Elisabeth, Fikse Freddy, Rönnegård Lars, Mouresan Elena Flavia
Application of reproductive technologies to improve dairy cattle genomic selection
Yudin N. S., Lukyanov K. I., Voevoda M. I., Kolchanov N. A.
Russian Journal of Genetics: Applied Research. 2016 6(3). p.321
Genetic evaluation to design a reference cow population for the Holstein breed in Tunisia: a first step toward genomic selection
Bakri Nour Elhouda, Djemali M’Naouer, Sarti Francesca Maria, Benyedder Mohamed, Pieramati Camillo, Fortes Marina
Animal Production Science. 2022 62(8). p.774
Genomics of Plant Genetic Resources (2014)
Grattapaglia Dario
Integrating genomic selection into dairy cattle breeding programmes: a review
Bouquet A., Juga J.
Animal. 2013 7(5). p.705
Genomic selection strategies in a small dairy cattle population evaluated for genetic gain and profit
Thomasen J.R., Egger-Danner C., Willam A., Guldbrandtsen B., Lund M.S., Sørensen A.C.
Journal of Dairy Science. 2014 97(1). p.458
Genomic Selection in Animals (2016)
Selective genotyping to implement genomic selection in beef cattle breeding
Esrafili Taze Kand Mohammaddiyeh Maryam, Rafat Seyed Abbas, Shodja Jalil, Javanmard Arash, Esfandyari Hadi
Frontiers in Genetics. 2023 14
Comparison of Marker-Based Genomic Estimated Breeding Values and Phenotypic Evaluation for Selection of Bacterial Spot Resistance in Tomato
Liabeuf Debora, Sim Sung-Chur, Francis David M.
Phytopathology®. 2018 108(3). p.392
Applied Animal Genomics: Results from the Field
Van Eenennaam Alison L., Weigel Kent A., Young Amy E., Cleveland Matthew A., Dekkers Jack C.M.
Annual Review of Animal Biosciences. 2014 2(1). p.105
Genomic selection strategies to optimize the use of multiple ovulation and embryo transfer schemes in dairy cattle breeding programs
Bouquet A., Sørensen A.C., Juga J.
Livestock Science. 2015 174 p.18
Genomics and Biotechnological Advances in Veterinary, Poultry, and Fisheries (2020)
Mukhopadhyay Chandra Sekhar, Kumar Amit, Deb Rajib
Optimization of breeding program design through stochastic simulation with kernel regression
Hassanpour Azadeh, Geibel Johannes, Simianer Henner, Pook Torsten, de los Campos G
G3: Genes, Genomes, Genetics. 2023 13(12).
On the value of the phenotypes in the genomic era
Gonzalez-Recio O., Coffey M.P., Pryce J.E.
Journal of Dairy Science. 2014 97(12). p.7905
Stochastic dynamic simulation modeling including multitrait genetics to estimate genetic, technical, and financial consequences of dairy farm reproduction and selection strategies
Kaniyamattam K., Elzo M.A., Cole J.B., De Vries A.
Journal of Dairy Science. 2016 99(10). p.8187
Toward Genome-Based Selection in Asian Seabass: What Can We Learn From Other Food Fishes and Farm Animals?
Orbán László, Shen Xueyan, Phua Norman, Varga László
Frontiers in Genetics. 2021 12
Design of a Bovine Low-Density SNP Array Optimized for Imputation
Boichard Didier, Chung Hoyoung, Dassonneville Romain, David Xavier, Eggen André, Fritz Sébastien, Gietzen Kimberly J., Hayes Ben J., Lawley Cynthia T., Sonstegard Tad S., Van Tassell Curtis P., VanRaden Paul M., Viaud-Martinez Karine A., Wiggans George R., Liu Zhanjiang
PLoS ONE. 2012 7(3). p.e34130
Effect of manipulating recombination rates on response to selection in livestock breeding programs
Battagin Mara, Gorjanc Gregor, Faux Anne-Michelle, Johnston Susan E., Hickey John M.
Genetics Selection Evolution. 2016 48(1).
Genomic Estimated Breeding Valueof Milk Performance and Fertility Traits in the Russian Black-and-White Cattle Population
Sharko Fedor S., Khatib Abdulrahman, Prokhortchouk Egor B.
Acta Naturae. 2022 14(1). p.109
A review of how dairy farmers can use and profit from genomic technologies
Pryce Jennie, Hayes Ben
Animal Production Science. 2012 52(3). p.180
Handbook of Epigenetics (2023)
Ibeagha-Awemu Eveline M., Khatib Hasan
Climate Change Impact on Livestock: Adaptation and Mitigation (2015)
Naskar Soumen, Gowane Gopal R., Chopra Ashish
Accounting for population structure in selective cow genotyping strategies
Perez Bruno C., Balieiro Julio C. C., Carvalheiro Roberto, Tirelo Fabio, Oliveira Junior Gerson A., Dementshuk Juliana M., Eler Joanir P., Ferraz José B. S., Ventura Ricardo V.
Journal of Animal Breeding and Genetics. 2019 136(1). p.23

Committee on Publication Ethics

Abstract Full Text PDF (150 KB) Export Citation Get Permission

Share

Share on Facebook Share on Twitter Share on LinkedIn Share via Email