BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Brito LF, Oliveira HR, Houlahan K, Fonseca PA, Lam S, Butty AM, Seymour DJ, Vargas G, Chud TC, Silva FF, Baes CF, Cánovas A, Miglior F, Schenkel FS, Plaizier J. Genetic mechanisms underlying feed utilization and implementation of genomic selection for improved feed efficiency in dairy cattle. Can J Anim Sci 2020;100:587-604. [DOI: 10.1139/cjas-2019-0193] [Cited by in Crossref: 13] [Cited by in F6Publishing: 16] [Article Influence: 6.5] [Reference Citation Analysis]
Number Citing Articles
1 Esmaeili M, Carter CG, Wilson R, Walker SP, Miller MR, Bridle AR, Young T, Alfaro AC, Laroche O, Symonds JE. An integrated proteomics and metabolomics investigation of feed efficiency in seawater reared Chinook salmon (Oncorhynchus tshawytscha). Aquaculture 2023;562:738845. [DOI: 10.1016/j.aquaculture.2022.738845] [Reference Citation Analysis]
2 Huuki H, Tapio M, Mäntysaari P, Negussie E, Ahvenjärvi S, Vilkki J, Vanhatalo A, Tapio I. Long-term effects of early-life rumen microbiota modulation on dairy cow production performance and methane emissions. Front Microbiol 2022;13. [DOI: 10.3389/fmicb.2022.983823] [Reference Citation Analysis]
3 Becker V, Stamer E, Spiekers H, Thaller G. Genetic parameters for dry matter intake, energy balance, residual energy intake, and liability to diseases in German Holstein and Fleckvieh dairy cows. Journal of Dairy Science 2022. [DOI: 10.3168/jds.2022-22083] [Reference Citation Analysis]
4 Oenema J, Oenema O. Unraveling feed and nutrient use efficiencies in grassland-based dairy farms. Front Sustain Food Syst 2022;6:846561. [DOI: 10.3389/fsufs.2022.846561] [Reference Citation Analysis]
5 Chen Y, Atashi H, Grelet C, Vanderick S, Hu H, Gengler N. Defining a nitrogen efficiency index in Holstein cows and assessing its potential effect on the breeding program of bulls. J Dairy Sci 2022:S0022-0302(22)00435-0. [PMID: 35931481 DOI: 10.3168/jds.2021-21681] [Reference Citation Analysis]
6 Davoudi P, Do DN, Colombo SM, Rathgeber B, Miar Y. Application of Genetic, Genomic and Biological Pathways in Improvement of Swine Feed Efficiency. Front Genet 2022;13:903733. [PMID: 35754793 DOI: 10.3389/fgene.2022.903733] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Zhu Y, Bu D, Ma L. Integration of Multiplied Omics, a Step Forward in Systematic Dairy Research. Metabolites 2022;12:225. [DOI: 10.3390/metabo12030225] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Vaughn RN, Kochan KJ, Torres AK, Du M, Riley DG, Gill CA, Herring AD, Sanders JO, Riggs PK. Skeletal Muscle Expression of Actinin-3 (ACTN3) in Relation to Feed Efficiency Phenotype of F2Bos indicus - Bos taurus Steers. Front Genet 2022;13:796038. [DOI: 10.3389/fgene.2022.796038] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Mpanga IK, Gaikpa DS, Koomson E, Dapaah HK. Innovations in Water Management: Agriculture. The Palgrave Handbook of Global Sustainability 2022. [DOI: 10.1007/978-3-030-38948-2_33-1] [Reference Citation Analysis]
10 Brito LF, Bedere N, Douhard F, Oliveira HR, Arnal M, Peñagaricano F, Schinckel AP, Baes CF, Miglior F. Review: Genetic selection of high-yielding dairy cattle toward sustainable farming systems in a rapidly changing world. Animal 2021;:100292. [PMID: 34294547 DOI: 10.1016/j.animal.2021.100292] [Cited by in Crossref: 26] [Cited by in F6Publishing: 30] [Article Influence: 26.0] [Reference Citation Analysis]
11 Seymour DJ, Cánovas A, Chud TCS, Cant JP, Osborne VR, Baes CF, Schenkel FS, Miglior F. Associations between feed efficiency and aspects of lactation curves in primiparous Holstein dairy cattle. J Dairy Sci 2021;104:9304-15. [PMID: 33934862 DOI: 10.3168/jds.2020-20010] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]