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Institution

Agrocampus Ouest

EducationRennes, France
About: Agrocampus Ouest is a education organization based out in Rennes, France. It is known for research contribution in the topics: Population & Soil water. The organization has 2160 authors who have published 3219 publications receiving 75606 citations. The organization is also known as: Institut supérieur des sciences agronomiques, agroalimentaires, horticoles et du paysage & Higher Institute for agricultural sciences, food industry, horticulture and landscape management.


Papers
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Journal ArticleDOI
TL;DR: The results of this experiment clearly show that both fermentative characteristics of the concentrate and dietary starch content should be taken into account when formulating diets to prevent subacute ruminal acidosis and to predict VFA profile.

30 citations

Journal ArticleDOI
TL;DR: This study revealed that, for higher heat treatments, IMF containing α-lactalbumin and lactoferrin preserved a higher proportion of native whey proteins than IMFs containing β- lactoglobulin.

30 citations

Journal ArticleDOI
TL;DR: A method to analyse an SITS through the characterisation of the evolution of a vegetation index (NDVI) at two scales: annual and multi-annual is presented.

30 citations

Journal ArticleDOI
TL;DR: It is shown that pollens clearly vary in their sterol contents intraspecifically, which affects their suitability for omnivores that rely on pollen, but sterols appear to be only one of the limiting nutrients in pollens.

30 citations

Journal ArticleDOI
TL;DR: An application aiming at the evaluation of a precipitation monitoring network by predicting monthly, seasonal, and interannual average rainfall by using the theory of the regionalized variables using the well-known geostatistical variance reduction method.
Abstract: Rainfall data are an essential input for many simulation models. In fact, these latter have a decisive role in the development and application of rational water policies. Since the accuracy of the simulation depends strongly on the available data, the task of optimizing the monitoring network is of great importance. In this paper, an application is presented aiming at the evaluation of a precipitation monitoring network by predicting monthly, seasonal, and interannual average rainfall. The method given here is based on the theory of the regionalized variables using the well-known geostatistical variance reduction method. The procedure that involves different analysis methods of the available data, such as estimation of the interpolation uncertainty and data cross validation, is applied to a case study data set in Tunisia in order to demonstrate the potential of improvement of the observation network quality. Root mean square error values are the criteria for evaluating rainfall estimation and network performance is discussed based on the kriging variance reduction. Based on this study, it was concluded that some sites should be dropped to eliminate redundancy and some others need to be added to the existing network essentially in the center and the south to have a more informative network.

30 citations


Authors

Showing all 2169 results

NameH-indexPapersCitations
Jean Noblet6221311131
Jean-Pierre Renou5820611894
J. F. Le Borgne5517213954
Jean-Christophe Simon471597226
Pierre Duhamel4651312627
Luc Delaby432264880
Jacques Baudry431507564
Jean-Yves Dourmad431164770
Didier Dupont421958137
Daniel Mollé411115915
Gwénaël Jan411044798
Sylvain Gaillard411244917
Michel Bonneau401624777
Jean-Paul Lallès391496846
Chantal Gascuel-Odoux391174520
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
202215
2021106
2020205
2019339
2018300