ORBi: Kandel Purna Bhadra - Estimation of genetic parameters for methane indicator traits based on milk fatty acids in dual purpose Belgian blue cattle

Reference : Estimation of genetic parameters for methane indicator traits based on milk fatty acids ...


	Document type :	Scientific congresses and symposiums : Paper published in a journal
	Discipline(s) :	Life sciences : Animal production & animal husbandry Life sciences : Agriculture & agronomy Life sciences : Biotechnology
	To cite this reference:	http://hdl.handle.net/2268/112332

Title :	Estimation of genetic parameters for methane indicator traits based on milk fatty acids in dual purpose Belgian blue cattle
Language :	English
Author, co-author :	Kandel, Purna Bhadra [Université de Liège - ULg > Sciences agronomiques > Zootechnie >]
	Soyeurt, Hélène [Université de Liège - ULg > Sciences agronomiques > Zootechnie >]
	Gengler, Nicolas [Université de Liège - ULg > Sciences agronomiques > Zootechnie >]
Publication date :	10-Feb-2012
Journal title :	Communications in Agricultural and Applied Biological Sciences
Publisher :	Universiteit Gent. Faculteit Landbouwkundige en Toegepaste Biologische Wetenschappen
Volume :	77
Issue/season :	1
Pages :	21-25
On invitation :	No
Audience :	International
ISSN :	1379-1176
City :	Gent
Country :	Belgium
Event name :	17th PhD symposium on Applied Biological Sciences
Event date :	10-02-2012
Event organizer :	Faculty of Bioscience Engineering
Event place (city) :	Leuven
Event country :	Belgium
Keywords :	[en] methane ; fatty acid ; heritability
Abstract :	[en] The genetic parameters of CH4 indicators were estimated by single trait test-day models from 16,825 records collected on Walloon Dual Purpose Belgium Blue cows in their first 3 lactations. Fatty acid based CH4 indicators published in the literature were predicted from milk mid-infrared spectra using 597 calibration samples. For the indicator showing the highest link (R2 =0.88) with SF6 CH4 data, the average daily heritability was 0.21, 0.20 and 0.10 for each lactation, respectively. The sire genetic variability was on average 2.82 kg2 of CH4 per lactation. The genetic difference between the sires having cows eructing higher and lower CH4 was 10 kg of CH4 averaged per lactation. In conclusion, CH4 indicators can be predicted by MIR and the genetic variability of these traits seems to exist.
Research units :	GreenHouseMilk
Funders :	Union Européenne = European Union - UE = EU
Name of the research project :	GreenHouseMilk
Target :	Researchers ; Professionals ; Students ; General public
Permalink :	http://hdl.handle.net/2268/112332

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