Detalles de la búsqueda
1.
Estimation of genetic parameters for feed efficiency traits using random regression models in dairy cattle.
J Dairy Sci;
107(3): 1523-1534, 2024 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-37690722
2.
Novel genetic parameters for genetic residual feed intake in dairy cattle using time series data from multiple parities and countries in North America and Europe.
J Dairy Sci;
106(12): 9078-9094, 2023 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-37678762
3.
Accuracy of Tongue Swab Testing Using Xpert MTB-RIF Ultra for Tuberculosis Diagnosis.
J Clin Microbiol;
60(7): e0042122, 2022 07 20.
Artículo
en Inglés
| MEDLINE | ID: mdl-35758702
4.
Predicting daily milk yield for primiparous cows using data of within-herd relatives to capture genotype-by-environment interactions.
J Dairy Sci;
105(8): 6739-6748, 2022 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-35688735
5.
Feeding behavior parameters and temporal patterns in mid-lactation Holstein cows across a range of residual feed intake values.
J Dairy Sci;
105(10): 8130-8142, 2022 Oct.
Artículo
en Inglés
| MEDLINE | ID: mdl-36055853
6.
Predicting dry matter intake in mid-lactation Holstein cows using point-in-time data streams available on dairy farms.
J Dairy Sci;
105(12): 9666-9681, 2022 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-36241434
7.
Effect of diet energy level and genomic residual feed intake on bred Holstein dairy heifer growth and feed efficiency.
J Dairy Sci;
105(3): 2201-2214, 2022 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-34998546
8.
Multiple-trait random regression modeling of feed efficiency in US Holsteins.
J Dairy Sci;
105(7): 5954-5971, 2022 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-35636997
9.
Comparison of methods to predict feed intake and residual feed intake using behavioral and metabolite data in addition to classical performance variables.
J Dairy Sci;
104(8): 8765-8782, 2021 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-33896643
10.
Enteric methane, lactation performances, digestibility, and metabolism of nitrogen and energy of Holsteins and Jerseys fed 2 levels of forage fiber from alfalfa silage or corn silage.
J Dairy Sci;
103(7): 6087-6099, 2020 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-32389470
11.
Genomic prediction of residual feed intake in US Holstein dairy cattle.
J Dairy Sci;
103(3): 2477-2486, 2020 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-31954583
12.
Inclusion of herdmate data improves genomic prediction for milk-production and feed-efficiency traits within North American dairy herds.
J Dairy Sci;
102(12): 11081-11091, 2019 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-31548069
13.
Effect of diet energy density and genomic residual feed intake on prebred dairy heifer feed efficiency, growth, and manure excretion.
J Dairy Sci;
102(5): 4041-4050, 2019 May.
Artículo
en Inglés
| MEDLINE | ID: mdl-30852010
14.
High-density genome-wide association study for residual feed intake in Holstein dairy cattle.
J Dairy Sci;
102(12): 11067-11080, 2019 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-31563317
15.
Predicting blood ß-hydroxybutyrate using milk Fourier transform infrared spectrum, milk composition, and producer-reported variables with multiple linear regression, partial least squares regression, and artificial neural network.
J Dairy Sci;
101(5): 4378-4387, 2018 May.
Artículo
en Inglés
| MEDLINE | ID: mdl-29477523
16.
Genome-wide association analyses based on a multiple-trait approach for modeling feed efficiency.
J Dairy Sci;
101(4): 3140-3154, 2018 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-29395135
17.
A 100-Year Review: Methods and impact of genetic selection in dairy cattle-From daughter-dam comparisons to deep learning algorithms.
J Dairy Sci;
100(12): 10234-10250, 2017 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-29153163
18.
The genetic and biological basis of feed efficiency in mid-lactation Holstein dairy cows.
J Dairy Sci;
100(11): 9061-9075, 2017 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-28843688
19.
Use of genotype × environment interaction model to accommodate genetic heterogeneity for residual feed intake, dry matter intake, net energy in milk, and metabolic body weight in dairy cattle.
J Dairy Sci;
100(3): 2007-2016, 2017 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-28109605
20.
Modeling genetic and nongenetic variation of feed efficiency and its partial relationships between component traits as a function of management and environmental factors.
J Dairy Sci;
100(1): 412-427, 2017 Jan.
Artículo
en Inglés
| MEDLINE | ID: mdl-27865511