T. Yan

Agri Food and Biosciences Institute

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Fujiang Hou

Lanzhou University

Zhengang Yan

Gansu Agricultural University

Shenghua Chang

Sokratis Stergiadis

University of Reading

Wei Li

Tsinghua University

C.K. Reynolds

University of Reading

Angelos E. Angelidis

University of Reading

L.A. Crompton

University of Reading

Xianjiang Chen

Agri Food and Biosciences Institute

T. H. Misselbrook

Rothamsted Research

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AgResearch

Sichuan Agricultural University

Agri Food and Biosciences Institute

Agriculture and Agri-Food Canada

Commonwealth Scientific and Industrial Research Organisation

Aberystwyth University

University College Dublin

Instituto de Investigaciones Agropecuarias

Massey University

Ministry of Agriculture and Rural Affairs

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Table 7: Energy balances, GHG emissions, carbon economic efficiency, and net energy ratio of crop grown in the Minqin Oasis.

PeerJ (2019)

Zhengang Yan Wei Li T. Yan Shenghua Chang Fujiang Hou

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Carbon fibers

10.7717/peerj.6890/table-7

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Erratum: Rumen microbial community composition varies with diet and host, but a core microbiome is found across a wide geographical range

Scientific Reports (2016)

Gemma Henderson Faith Cox Siva Ganesh Arjan Jonker Wayne Young

Ruminant livestock are important sources of human food and global greenhouse gas emissions. Feed degradation and methane formation by ruminants rely on metabolic interactions between rumen microbes and affect ruminant productivity. Rumen and camelid foregut microbial community composition was determined in 742 samples from 32 animal species and 35 countries, to estimate if this was influenced by diet, host species, or geography. Similar bacteria and archaea dominated in nearly all samples, while protozoal communities were more variable. The dominant bacteria are poorly characterised, but the methanogenic archaea are better known and highly conserved across the world. This universality and limited diversity could make it possible to mitigate methane emissions by developing strategies that target the few dominant methanogens. Differences in microbial community compositions were predominantly attributable to diet, with the host being less influential. There were few strong co-occurrence patterns between microbes, suggesting that major metabolic interactions are non-selective rather than specific.

10.1038/srep19175

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Table 3: Factors used for calculation of GHG emissions, energy inputs, and energy outputs.

PeerJ (2019)

Zhengang Yan Wei Li T. Yan Shenghua Chang Fujiang Hou

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10.7717/peerj.6890/table-3

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Figure 1: Satellite map of study site at Minqin Oasis, China.

PeerJ (2019)