Naslov
Selection of optimal method for estimation of methane emission on dairy cattle farms
(Selection of optimal method for estimation of methane emission on dairy cattle farms)

Autori
Gantner, Vesna ; Gregić, Maja ; Bobić, Tina ; Mijić, Pero ; Šperanda, Marcela

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Proceedings final dairycare conference will take place in Thessaloniki, Monday and Tuesday 19th and 20th March 2018 / Knight, C.H. - Solun, 2018, 48-48

ISBN
978-0-9930176-5-0

Skup
Fifth COST DairyCare Conference 2018

Mjesto i datum
Solun, Grčka, 19.03.2018. - 20.03.2018

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
methane emission ; method ; estimation ; dairy cattle population

Sažetak
In the last decades we have witnessed increasingly pronounced climate change worldwide resulting in transformation of the environmental conditions in various regions by making them not convenient for agricultural and livestock production in particular (IPCC, 2007). FAO experts stated that with purpose to avoid dangerous climate change, global GHG emissions have to be significantly decreased worldwide. The global livestock sector contributes to an anthropogenic GHG emission, but at the other hand, it can also deliver a significant share of the necessary mitigation effort. It is estimated that total GHG emissions from livestock supply chains represents 14.5% of all anthropogenic emissions. Regarding the species, cattle are the main contributor to the sector’s emissions with about 65% of sector emissions (about 30% comes from milk production). The main source of GHG emissions in ruminants supplies chain, milk or meat, is enteric fermentation and feed production. Furthermore, grazing system, comparing to the mixed one, produce more GHG. Also, in ruminant production systems, there is a strong negative relationship between productivity and emission intensity that is emission intensity decreases as yield increases. One of the most significant greenhouse gas, highly correlated with global warming (1g CH4 heats the atmosphere 21 times more than 1 g CO2) is methane. Furthermore, about 44% of all greenhouses gasses from livestock sector is methane. Ruminants that is cattle sector, with a daily methane production per animal in the amount of 250 to 500 L (depending on the production direction and intensity), in the next 50 to 100 years will contribute to the global warming for 8% - 10%. Methods for the methane emissions reduction in cattle can be classified as short-term (available now), medium (available in the next 10 years) and long term (commercially unavailable following a minimum of 10 years). Short-term methods implies increase in productivity per animal and consequently reduction in the number animals. Furthermore, the significant effect of the cows’ feeding efficiency on the reduction of the greenhouse gas emissions on dairy farms was determined by many scientific studies. In addition, it has been shown that feeding management can result in a significant reduction in methane emissions. Long term methods implies genetic evaluation and selection of dairy cattle for methane emission. The first step in genetic evaluation is selection of optimal method for estimation of methane emission in dairy cattle based on Animal Recoding data. Therefore, the aims of this study is to evaluate various methods for estimation of methane emission in dairy cattle as well as to select optimal estimation method from the point of accuracy and simplicity for routine use.

Izvorni jezik
Engleski

Znanstvena područja
Biotehnologija

POVEZANOST RADA