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Items: 1 to 20 of 201

1.

Review: Biological determinants of between-animal variation in feed efficiency of growing beef cattle.

Cantalapiedra-Hijar G, Abo-Ismail M, Carstens GE, Guan LL, Hegarty R, Kenny DA, McGee M, Plastow G, Relling A, Ortigues-Marty I.

Animal. 2018 Dec;12(s2):s321-s335. doi: 10.1017/S1751731118001489. Epub 2018 Aug 24. Review.

PMID:
30139392
2.

Reducing GHG emissions through genetic improvement for feed efficiency: effects on economically important traits and enteric methane production.

Basarab JA, Beauchemin KA, Baron VS, Ominski KH, Guan LL, Miller SP, Crowley JJ.

Animal. 2013 Jun;7 Suppl 2:303-15. doi: 10.1017/S1751731113000888.

3.

Genetic variation in residual feed intake is associated with body composition, behavior, rumen, heat production, hematology, and immune competence traits in Angus cattle1.

Herd RM, Velazco JI, Smith H, Arthur PF, Hine B, Oddy H, Dobos RC, Hegarty RS.

J Anim Sci. 2019 Apr 29;97(5):2202-2219. doi: 10.1093/jas/skz077.

PMID:
30789654
4.

Relationships of feedlot feed efficiency, performance, and feeding behavior with metabolic rate, methane production, and energy partitioning in beef cattle.

Nkrumah JD, Okine EK, Mathison GW, Schmid K, Li C, Basarab JA, Price MA, Wang Z, Moore SS.

J Anim Sci. 2006 Jan;84(1):145-53.

PMID:
16361501
5.

Relationships of feeding behaviors with efficiency in RFI-divergent Japanese Black cattle.

McGee M, Ramirez JA, Carstens GE, Price WJ, Hall JB, Hill RA.

J Anim Sci. 2014 Aug;92(8):3580-90. doi: 10.2527/jas.2013-7360. Epub 2014 Jun 19.

PMID:
24948647
6.

Invited review: Improving feed efficiency of beef cattle - the current state of the art and future challenges.

Kenny DA, Fitzsimons C, Waters SM, McGee M.

Animal. 2018 Sep;12(9):1815-1826. doi: 10.1017/S1751731118000976. Epub 2018 May 21. Review.

PMID:
29779496
7.

Phenotypic and genetic relationships of residual feed intake measures and their component traits with fatty acid composition in subcutaneous adipose of beef cattle.

Zhang F, Ekine-Dzivenu C, Vinsky M, Basarab JA, Aalhus JL, Dugan MER, Li C.

J Anim Sci. 2017 Jul;95(7):2813-1824. doi: 10.2527/jas.2017.1451.

PMID:
28727111
8.

Consistency of feed efficiency ranking and mechanisms associated with inter-animal variation among growing calves.

Asher A, Shabtay A, Cohen-Zinder M, Aharoni Y, Miron J, Agmon R, Halachmi I, Orlov A, Haim A, Tedeschi LO, Carstens GE, Johnson KA, Brosh A.

J Anim Sci. 2018 Apr 3;96(3):990-1009. doi: 10.1093/jas/skx045.

9.

Effect of divergence in residual feed intake on feeding behavior, blood metabolic variables, and body composition traits in growing beef heifers.

Kelly AK, McGee M, Crews DH Jr, Fahey AG, Wylie AR, Kenny DA.

J Anim Sci. 2010 Jan;88(1):109-23. doi: 10.2527/jas.2009-2196. Epub 2009 Oct 9.

PMID:
19820067
10.

Variation in residual feed intake in Holstein-Friesian dairy heifers in southern Australia.

Williams YJ, Pryce JE, Grainger C, Wales WJ, Linden N, Porker M, Hayes BJ.

J Dairy Sci. 2011 Sep;94(9):4715-25. doi: 10.3168/jds.2010-4015.

11.

Repeatability of feed efficiency, carcass ultrasound, feeding behavior, and blood metabolic variables in finishing heifers divergently selected for residual feed intake.

Kelly AK, McGee M, Crews DH Jr, Sweeney T, Boland TM, Kenny DA.

J Anim Sci. 2010 Oct;88(10):3214-25. doi: 10.2527/jas.2009-2700. Epub 2010 Jun 4.

PMID:
20525931
12.

Temperament and dominance relate to feeding behaviour and activity in beef cattle: implications for performance and methane emissions.

Llonch P, Somarriba M, Duthie CA, Troy S, Roehe R, Rooke J, Haskell MJ, Turner SP.

Animal. 2018 Dec;12(12):2639-2648. doi: 10.1017/S1751731118000617. Epub 2018 Apr 2.

PMID:
29606168
13.

Effect of divergence in phenotypic residual feed intake on methane emissions, ruminal fermentation, and apparent whole-tract digestibility of beef heifers across three contrasting diets.

McDonnell RP, Hart KJ, Boland TM, Kelly AK, McGee M, Kenny DA.

J Anim Sci. 2016 Mar;94(3):1179-93. doi: 10.2527/jas.2015-0080.

PMID:
27065279
14.

Transcriptome profiling of the rumen epithelium of beef cattle differing in residual feed intake.

Kong RS, Liang G, Chen Y, Stothard P, Guan le L.

BMC Genomics. 2016 Aug 9;17:592. doi: 10.1186/s12864-016-2935-4.

15.

Review: divergent selection for residual feed intake in the growing pig.

Gilbert H, Billon Y, Brossard L, Faure J, Gatellier P, Gondret F, Labussière E, Lebret B, Lefaucheur L, Le Floch N, Louveau I, Merlot E, Meunier-Salaün MC, Montagne L, Mormede P, Renaudeau D, Riquet J, Rogel-Gaillard C, van Milgen J, Vincent A, Noblet J.

Animal. 2017 Sep;11(9):1427-1439. doi: 10.1017/S175173111600286X. Epub 2017 Jan 25. Review.

16.

Digestion and metabolism of low and high residual feed intake Nellore bulls.

Bonilha SFM, Branco RH, Mercadante MEZ, Dos Santos Gonçalves Cyrillo JN, Monteiro FM, Ribeiro EG.

Trop Anim Health Prod. 2017 Mar;49(3):529-535. doi: 10.1007/s11250-017-1224-9. Epub 2017 Jan 26.

PMID:
28124731
17.

Genetic and phenotypic relationships of feeding behavior and temperament with performance, feed efficiency, ultrasound, and carcass merit of beef cattle.

Nkrumah JD, Crews DH Jr, Basarab JA, Price MA, Okine EK, Wang Z, Li C, Moore SS.

J Anim Sci. 2007 Oct;85(10):2382-90. Epub 2007 Jun 25.

PMID:
17591713
18.

Relationship between feed efficiency and slaughter traits of French Charolais bulls.

Taussat S, Saintilan R, Krauss D, Maupetit D, Fouilloux MN, Renand G.

J Anim Sci. 2019 May 30;97(6):2308-2319. doi: 10.1093/jas/skz108.

PMID:
30957842
19.

Identification of biological traits associated with differences in residual energy intake among lactating Holstein cows.

Fischer A, Delagarde R, Faverdin P.

J Dairy Sci. 2018 May;101(5):4193-4211. doi: 10.3168/jds.2017-12636. Epub 2018 Feb 2.

20.

Hot topic: Definition and implementation of a breeding value for feed efficiency in dairy cows.

Pryce JE, Gonzalez-Recio O, Nieuwhof G, Wales WJ, Coffey MP, Hayes BJ, Goddard ME.

J Dairy Sci. 2015 Oct;98(10):7340-50. doi: 10.3168/jds.2015-9621. Epub 2015 Aug 5.

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