Detalhe da pesquisa
1.
The Resilient Dairy Genome Project-A general overview of methods and objectives related to feed efficiency and methane emissions.
J Dairy Sci
; 107(3): 1510-1522, 2024 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-37690718
2.
Genetic parameters for feed intake and body weight in dairy cattle using high-throughput 3-dimensional cameras in Danish commercial farms.
J Dairy Sci
; 106(12): 9006-9015, 2023 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-37641284
3.
Predicting dry matter intake in Canadian Holstein dairy cattle using milk mid-infrared reflectance spectroscopy and other commonly available predictors via artificial neural networks.
J Dairy Sci
; 105(10): 8257-8271, 2022 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-36055837
4.
Predicting methane emission in Canadian Holstein dairy cattle using milk mid-infrared reflectance spectroscopy and other commonly available predictors via artificial neural networks.
J Dairy Sci
; 105(10): 8272-8285, 2022 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-36055858
5.
Integrating heterogeneous across-country data for proxy-based random forest prediction of enteric methane in dairy cattle.
J Dairy Sci
; 105(6): 5124-5140, 2022 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-35346462
6.
Host genetics and the rumen microbiome jointly associate with methane emissions in dairy cows.
PLoS Genet
; 14(10): e1007580, 2018 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-30312316
7.
Predictive ability of host genetics and rumen microbiome for subclinical ketosis.
J Dairy Sci
; 103(5): 4557-4569, 2020 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-32197852
8.
Impact of the rumen microbiome on milk fatty acid composition of Holstein cattle.
Genet Sel Evol
; 51(1): 23, 2019 May 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-31142263
9.
Enteric methane emission from Jersey cows during the spring transition from indoor feeding to grazing.
J Dairy Sci
; 102(7): 6319-6329, 2019 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-31103308
10.
Changes in rumen bacterial and archaeal communities over the transition period in primiparous Holstein dairy cows.
J Dairy Sci
; 101(11): 9847-9862, 2018 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-30172409
11.
Heritability estimates for enteric methane emissions from Holstein cattle measured using noninvasive methods.
J Dairy Sci
; 99(3): 1959-1967, 2016 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-26805978
12.
Short communication: Genetic variation in choice consistency for cows accessing automatic milking units.
J Dairy Sci
; 99(12): 9857-9863, 2016 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-27720153
13.
Across-country test-day model evaluations for Holstein, Nordic Red Cattle, and Jersey.
J Dairy Sci
; 98(2): 1296-309, 2015 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-25434332
14.
Prediction of body condition in Jersey dairy cattle from 3D-images using machine learning techniques.
J Anim Sci
; 1012023 Jan 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-37943499
15.
Supervised learning techniques for dairy cattle body weight prediction from 3D digital images.
Front Genet
; 13: 947176, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-36685975
16.
Selecting for Feed Efficient Cows Will Help to Reduce Methane Gas Emissions.
Front Genet
; 13: 885932, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35692829
17.
Stability Assessment of the Rumen Bacterial and Archaeal Communities in Dairy Cows Within a Single Lactation and Its Association With Host Phenotype.
Front Microbiol
; 12: 636223, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-33927700
18.
Effects of Incorporating Dry Matter Intake and Residual Feed Intake into a Selection Index for Dairy Cattle Using Deterministic Modeling.
Animals (Basel)
; 11(4)2021 Apr 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-33920730
19.
Bayesian modeling reveals host genetics associated with rumen microbiota jointly influence methane emission in dairy cows.
ISME J
; 14(8): 2019-2033, 2020 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-32366970
20.
Comparison of Methods to Measure Methane for Use in Genetic Evaluation of Dairy Cattle.
Animals (Basel)
; 9(10)2019 Oct 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-31640130