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1.
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.
Artículo
en Inglés
| MEDLINE | ID: mdl-36055837
2.
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.
Artículo
en Inglés
| MEDLINE | ID: mdl-36055858
3.
Machine-Learning-Based Genome-Wide Association Studies for Uncovering QTL Underlying Soybean Yield and Its Components.
Int J Mol Sci
; 23(10)2022 May 16.
Artículo
en Inglés
| MEDLINE | ID: mdl-35628351
4.
Pairwise visual comparison of small RNA secondary structures with base pair probabilities.
BMC Bioinformatics
; 20(1): 293, 2019 May 29.
Artículo
en Inglés
| MEDLINE | ID: mdl-31142266
5.
Analysis of MAPK and MAPKK gene families in wheat and related Triticeae species.
BMC Genomics
; 19(1): 178, 2018 03 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-29506469
6.
Temporal ordering of substitutions in RNA evolution: Uncovering the structural evolution of the Human Accelerated Region 1.
J Theor Biol
; 438: 143-150, 2018 02 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-29175608
7.
Bioinformatics identification of new targets for improving low temperature stress tolerance in spring and winter wheat.
BMC Bioinformatics
; 18(1): 174, 2017 Mar 16.
Artículo
en Inglés
| MEDLINE | ID: mdl-28302069
8.
Exogenous Abscisic Acid and Gibberellic Acid Elicit Opposing Effects on Fusarium graminearum Infection in Wheat.
Phytopathology
; 106(9): 986-96, 2016 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-27135677
9.
Enrichment of Triticum aestivum gene annotations using ortholog cliques and gene ontologies in other plants.
BMC Genomics
; 16: 299, 2015 Apr 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-25887590
10.
A computer vision image differential approach for automatic detection of aggressive behavior in pigs using deep learning.
J Anim Sci
; 1012023 Jan 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-37813375
11.
Application of SVR-Mediated GWAS for Identification of Durable Genetic Regions Associated with Soybean Seed Quality Traits.
Plants (Basel)
; 12(14)2023 Jul 16.
Artículo
en Inglés
| MEDLINE | ID: mdl-37514272
12.
Predicting environmental stressor levels with machine learning: a comparison between amplicon sequencing, metagenomics, and total RNA sequencing based on taxonomically assigned data.
Front Microbiol
; 14: 1217750, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-38075934
13.
Does wing use and disuse cause behavioural and musculoskeletal changes in domestic fowl (Gallus gallus domesticus)?
R Soc Open Sci
; 10(1): 220809, 2023 Jan.
Artículo
en Inglés
| MEDLINE | ID: mdl-36704252
14.
Effects of clipping of flight feathers on resource use in Gallus gallus domesticus.
R Soc Open Sci
; 9(3): 211561, 2022 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-35316951
15.
Unravelling the genetics of non-random fertilization associated with gametic incompatibility.
Sci Rep
; 12(1): 22314, 2022 12 24.
Artículo
en Inglés
| MEDLINE | ID: mdl-36566278
16.
MetaboHunter: an automatic approach for identification of metabolites from 1H-NMR spectra of complex mixtures.
BMC Bioinformatics
; 12: 400, 2011 Oct 14.
Artículo
en Inglés
| MEDLINE | ID: mdl-21999117
17.
Application of machine learning and genetic optimization algorithms for modeling and optimizing soybean yield using its component traits.
PLoS One
; 16(4): e0250665, 2021.
Artículo
en Inglés
| MEDLINE | ID: mdl-33930039
18.
Genome-Wide Association Studies of Soybean Yield-Related Hyperspectral Reflectance Bands Using Machine Learning-Mediated Data Integration Methods.
Front Plant Sci
; 12: 777028, 2021.
Artículo
en Inglés
| MEDLINE | ID: mdl-34880894
19.
ASAS-NANP SYMPOSIUM: Applications of machine learning for livestock body weight prediction from digital images.
J Anim Sci
; 99(2)2021 Feb 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-33626149
20.
In pursuit of a better broiler: growth, efficiency, and mortality of 16 strains of broiler chickens.
Poult Sci
; 100(3): 100955, 2021 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-33518309