Literature DB >> 31740941

Characterization of water intake and water efficiency in beef cattle1,2.

Cashley M Ahlberg1, Kristi Allwardt2, Ashley Broocks2, Kelsey Bruno2, Alexandra Taylor2, Levi Mcphillips2, Clint R Krehbiel2,3, Michelle Calvo-Lorenzo2,4, Chris J Richards2, Sara E Place2,5, Udaya Desilva2, Deborah L Vanoverbeke2, Raluca G Mateescu6, Larry A Kuehn7, Robert Weaber1, Jennifer Bormann1, Megan M Rolf1.   

Abstract

In the future, water may not be as readily available due to increases in competition from a growing human population, wildlife, and other agricultural sectors, making selection for water efficiency of beef cattle increasingly important. Substantial selection emphasis has recently been placed on feed efficiency in an effort to reduce production costs, but no emphasis has been placed on making cattle more water efficient due to lack of data. Thus, the objective of this study was to calculate water efficiency metrics for cattle and evaluate their relationship to growth, feed intake (FI), and feed efficiency. Individual daily FI and water intake (WI) records were collected on 578 crossbred steers over a 70-d test period. Animals with low water intake ate less feed, had lower gains, and were more water efficient (as defined by water to gain ratio, W/G, and residual water intake, RWI). However, the amount of water consumed by animals had minimal phenotypic relationship with feed efficiency (residual feed intake [RFI], R2 = 0.1050 and feed to gain ratio (F/G) ratio R2 = 0.0726). Cattle that had low DMI consumed less water, had lower gains, had lower RFI, and had higher F/G. The level of feed consumed had minimal relationship with water efficiency. WI, W/G, RWI, and ADG had moderate heritability estimates of 0.39, 0.39, 0.37, and 0.37, respectively. High heritability estimates were observed for DMI and RFI (0.67 and 0.65, respectively). Feed to gain had a low heritability estimate of 0.16. WI had a strong positive genetic correlation with W/G (0.99) and RWI (0.88), thus selecting for decreased WI should also make cattle more water efficient. The genetic correlation between WI and ADG was 0.05; thus, selecting for low WI cattle should have little effect on growth. There is a low to moderate genetic correlation between WI and DMI (0.34). RWI has a positive genetic correlation with W/G ratio (0.89) and F/G ratio (0.42) and is negatively genetically correlated with RFI (-0.57). Water to gain and F/G had a strong positive genetic correlation (0.68). RFI has a positive genetic correlation with W/G ratio (0.37) and F/G (0.88). Minimal antagonisms seem to be present between WI and ADG, although it should be noted that standard errors were large and often not significantly different from zero due to the small sample size. However, care should be taken to ensure that unintended changes do not occur in DMI or other production traits and incorporation of WI into a selection index would likely prove to be the most effective method for selection. Published by Oxford University Press on behalf of the American Society of Animal Science 2019.

Entities:  

Keywords:  beef cattle; water efficiency; water intake

Mesh:

Substances:

Year:  2019        PMID: 31740941      PMCID: PMC6915210          DOI: 10.1093/jas/skz354

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  25 in total

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4.  Estimation of breed and heterosis effects for growth and carcass traits in cattle using published crossbreeding studies.

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Journal:  J Anim Sci       Date:  2009-10-09       Impact factor: 3.159

5.  Genetic influence on water and sweetened water consumption in mice.

Authors:  I Ramirez; J L Fuller
Journal:  Physiol Behav       Date:  1976-02

6.  Technical note: Validation of an automated system for monitoring and restricting water intake in group-housed beef steers.

Authors:  K Allwardt; C Ahlberg; A Broocks; K Bruno; A Taylor; S Place; C Richards; C Krehbiel; M Calvo-Lorenzo; U DeSilva; D VanOverbeke; R Mateescu; C Goad; M M Rolf
Journal:  J Anim Sci       Date:  2017-09       Impact factor: 3.159

7.  Rapid assessment of genetic ancestry in populations of unknown origin by genome-wide genotyping of pooled samples.

Authors:  Charleston W K Chiang; Zofia K Z Gajdos; Joshua M Korn; Finny G Kuruvilla; Johannah L Butler; Rachel Hackett; Candace Guiducci; Thutrang T Nguyen; Rainford Wilks; Terrence Forrester; Christopher A Haiman; Katherine D Henderson; Loic Le Marchand; Brian E Henderson; Mark R Palmert; Colin A McKenzie; Helen N Lyon; Richard S Cooper; Xiaofeng Zhu; Joel N Hirschhorn
Journal:  PLoS Genet       Date:  2010-03-05       Impact factor: 5.917

Review 8.  Cell Biology Symposium: genetics of feed efficiency in dairy and beef cattle.

Authors:  D P Berry; J J Crowley
Journal:  J Anim Sci       Date:  2013-01-23       Impact factor: 3.159

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

Authors:  J D Nkrumah; D H Crews; J A Basarab; M A Price; E K Okine; Z Wang; C Li; S S Moore
Journal:  J Anim Sci       Date:  2007-06-25       Impact factor: 3.159

10.  Histamine plays a part in induction of drinking by food intake.

Authors:  F S Kraly
Journal:  Nature       Date:  1983-03-03       Impact factor: 49.962

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Journal:  Sensors (Basel)       Date:  2021-04-20       Impact factor: 3.576

  1 in total

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