@article {3672,
	title = {Volatile fatty acids (VFA) in rumen samples collected pre-feeding had a stronger relationship with methane emissions in lambs fed graded levels of forage rape than VFAs in post-feeding samples},
	journal = {New Zealand Journal of Animal Science and Production},
	volume = {81},
	year = {2021},
	month = {01/2022},
	pages = {168-172},
	address = {Online},
	abstract = {To investigate the effect of farm system, and cow selection for milk urea nitrogen (MUN), on milk yield and milk composition,
a farmlet study was carried out between October 2018 and May 2019 in Lincoln, Canterbury. A farm system with a low stocking
rate and low N fertiliser input (LSR, 2.9 cows/ha) sown with a conventional ryegrass clover and plantain diverse pastures was
compared with a farm system with a moderate stocking rate and moderate N fertiliser (MSR, 3.9 cows/ha) using conventional
ryegrass and white clover pastures and supplementing 3 kg DM/cow/d as crushed barley grain. Each farmlet had total herd size of
40 mixed-age HF x J spring-calving dairy cows which included six cows selected solely for a high MUN or a low MUN. There was
no effect of farm system on milk fat, protein or lactose content but MUN was lower in LSR compared with MSR. Milk production
was also lower for LSR (466 vs 429{\textpm}12.4 kg MS/cow/ha, P<0.05), owing to poorer quality diet in mid lactation. Cows selected
for low MUN tended to produce less milk compared with high MUN cows (4478 vs 3987{\textpm}174 kg/cow, P<0.10) though this was
partially offset by increased protein content in milk of low MUN cows. Farm system and animal selection for MUN have a greater
impact on milk yield than on milk composition.

Keywords: Plantago lanceolata; somatic cell count; multi-species pastures;},
	issn = {1176-5283},
	author = {Della Rosa MM and Janssen PH and Reid P and Sandoval E and Luo D and Pacheco D and Jonker A}
}
@conference {3672,
	title = {BRIEF COMMUNICATION: Genetic control of the rumen microbiome in sheep},
	booktitle = {Proceedings of the New Zealand Society of Animal Production},
	volume = {75},
	year = {2015},
	month = {07/2015},
	pages = {67-69},
	address = {Dunedin},
	abstract = { },
	issn = {1176-5283},
	author = {Rowe SJ and Kittelmann S and Pinares-Pati{\~n}o CS and Wood GR and Dodds KG and Kirk MR and Ganesh S and Hickey SM and Janssen PH and McEwan JC}
}
@conference {3678,
	title = {Rumen Microbial Community Profiling as a Tool to Study Ruminant Production},
	booktitle = {Proceedings of the New Zealand Society of Animal Production},
	volume = {74},
	year = {2014},
	month = {06/2014},
	pages = {133-141},
	address = {Napier},
	abstract = {The species composition of the rumen microbial community is shaped by the ruminant host and by characteristics of the ingested feed. The microbes present determine the ratios of volatile fatty acids, gases such as methane, and microbial protein formed from the feed. The rate of feed fermentation and the mix of products are important for animal production and for environmental impacts of ruminant farming. Differences in microbial community composition within a cohort of animals on a specific feed indicate differences in the rumen environment and presumably host animal genetics or early life history. Differences in the community when animals are on different feeds can be used to understand the impact of the feed on rumen function. Interpreting these community differences relies on understanding what might cause the selection of one community type over another. Recent research in New Zealand has developed a pipeline for studying rumen microbial community compositions. These tools have been used to help understand the basis of lower methane emissions from sheep fed forage brassica compared to ryegrass, and to understand what drives natural variations in methane emissions from sheep. This type of analysis is also starting to be used to investigate productivity differences within animal cohorts.},
	issn = {1176-5283},
	author = {Janssen PH and Kittelmann S and Henderson G and Seedorf H}
}
