Peer Community In Animal Science
Latest Publications

TOTAL DOCUMENTS

8

(FIVE YEARS 3)

H-INDEX

0

(FIVE YEARS 0)

Published By Peer Community In

2677-9307

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

An innovative modelling approach to enhance the quality of the quantification of pig resilience during the entire fattening period: Towards an individual pig resilience index

Peer Community In Animal Science ◽

10.24072/pci.animsci.100008 ◽

2021 ◽

Author(s):

Mohammed Gagaoua

Keyword(s):

Resilience Index ◽

Fattening Period ◽

Modelling Approach

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Modelling freedom from disease - how do we compare between countries?

Peer Community In Animal Science ◽

10.24072/pci.animsci.100007 ◽

2021 ◽

Author(s):

Rowland R. Kao

Keyword(s):

Freedom From Disease

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Understanding the mechanisms behind natural bioactive compounds that can potentially reduce methane production in anaerobic conditions. A case study of Asparagopsis taxiformis

Peer Community In Animal Science ◽

10.24072/pci.animsci.100006 ◽

2021 ◽

Author(s):

Luis Tedeschi

Keyword(s):

Bioactive Compounds ◽

Methane Production ◽

Anaerobic Conditions ◽

Asparagopsis Taxiformis

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Accurate predictions of chemical composition of pigs for a wide range of body weights: no longer a myth!

Peer Community In Animal Science ◽

10.24072/pci.animsci.100005 ◽

2020 ◽

Author(s):

Florence Gondret

Keyword(s):

Chemical Composition ◽

Wide Range ◽

Body Weights

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Iberian pigs: more than excellent ham!

Peer Community In Animal Science ◽

10.24072/pci.animsci.100004 ◽

2020 ◽

pp. 100004

Author(s):

Jordi Estellé

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When scientific communities intertwine

Peer Community In Animal Science ◽

10.24072/pci.animsci.100003 ◽

2020 ◽

pp. 100003

Author(s):

Pauline Ezanno

Keyword(s):

Scientific Communities

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Optimizing growth rate of dairy heifers through nutrition to maximize reproduction and production

Peer Community In Animal Science ◽

10.24072/pci.animsci.100002 ◽

2019 ◽

pp. 100002

Author(s):

Luis Tedeschi

Keyword(s):

Growth Rate ◽

Dairy Heifers

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Developing smart fitting algorithms to identify random perturbations in time-series data

Peer Community In Animal Science ◽

10.24072/pci.animsci.100001 ◽

2019 ◽

pp. 100001

Author(s):

Luis Tedeschi

Keyword(s):

Time Series ◽

Time Series Data ◽

Series Data ◽

Random Perturbations

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