Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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    INPUT DOCUMENT Natura 2000 seminar for the Boreal region : 3rd Natura 2000 seminar for the Boreal region
    Sluis, T. van der; Sepp, Kalev ; Pungar, Diana ; Bouwma, I.M. - \ 2019
    EU - 48 p.
    IPBES: van ‘Forum assessment’ naar actie
    Sluis, T. van der; Turnhout, E. - \ 2019
    Landschap : tijdschrift voor landschapsecologie en milieukunde 36 (2019)3. - ISSN 0169-6300 - p. 174 - 175.
    IN HET VELD – Vennen en venen in Drenthe
    Sluis, T. van der - \ 2019
    Landschap : tijdschrift voor landschapsecologie en milieukunde 36 (2019)3. - ISSN 0169-6300 - p. 176 - 176.
    IN HET VELD – Dobberen op de Pechora-rivier
    Sluis, T. van der - \ 2019
    Landschap : tijdschrift voor landschapsecologie en milieukunde 36 (2019)2. - ISSN 0169-6300 - p. 125 - 125.
    Developing sensor technologies to inform breeding approaches to reduce damaging behaviour in laying hens and pigs: The GroupHouseNet approach
    Rodenburg, T.B. ; Bennewitz, J. ; Haas, E.N. De; Košťál, L. ; Pichová, K. ; Piette, D. ; Tetens, J. ; Visser, B. ; Klerk, B. De; Sluis, Malou van der; Zande, L.E. van der; Siegford, J. ; Toscano, M. ; Norton, T. ; Guzhva, O. ; Ellen, E.D. - \ 2019
    In: Precision Livestock Farming 2019. - Teagasc (Precision Livestock Farming 2019 - Papers Presented at the 9th European Conference on Precision Livestock Farming, ECPLF 2019 ) - ISBN 9781841706542 - p. 467 - 470.
    Automatic tracking - Damaging behaviour - Genetic selection

    The European COST Action GroupHouseNet aims to provide synergy for preventing damaging behaviour in group-housed pigs and laying hens. One area of focus of this network is how genetic and genomic tools can be used to breed animals that are less likely to develop damaging behaviour directed at their pen-mates. Reducing damaging behaviour in large groups is a challenge, because it is difficult to identify and monitor individual animals. With the current developments in sensor technologies and animal breeding, there is the possibility to identify individual animals, monitor individual behaviour, and link this information to the genotype. Using a combination of sensor technologies and genomics enables us to select against damaging behaviour in pigs and laying hens.

    Assessing individual activity levels in two broiler lines using an ultra-wideband tracking system
    Sluis, Malou van der; Klerk, B. De; Ellen, E.D. ; Haas, Y. De; Hijink, T. ; Rodenburg, T.B. - \ 2019
    In: Precision Livestock Farming 2019. - Teagasc (Precision Livestock Farming 2019 - Papers Presented at the 9th European Conference on Precision Livestock Farming, ECPLF 2019 ) - ISBN 9781841706542 - p. 903 - 906.
    Activity - Broilers - Tracking - Ultra-wideband

    Individual data on activity of broilers is valuable for breeding programmes, as activity may serve as proxy for multiple health, welfare and performance indicators. However, in current husbandry systems, broilers are often kept in large groups, which makes it difficult to identify and monitor them at the individual level. Sensor technologies, such as ultra-wideband (UWB) tracking systems, might offer solutions. This paper investigated the recorded distances of an UWB tracking system that was applied to broilers, as a first step in assessing the potential of an UWB tracking system for studying individual levels of activity in broilers housed in groups. To this end, the distances moved as recorded by the UWB system were compared to distances recorded on video, using Kinovea video tracking software. There was a moderately strong positive correlation between the output of the UWB system and video tracking, although some under- and over- estimations were observed. Even though the recorded distances from the UWB system may not completely match the true distances moved, the UWB system appears to be well-suited for studying differences in activity between individual broilers when measured with the same system settings.

    Cosmetic aspects in specific marketing standards for fruit and vegetables : removing cosmetic aspects from the EU marketing standards: implications for the market and impact on food waste
    Oosterkamp, Elsje ; Sluis, Addie van der; Geffen, Lisanne van; Aramyan, Lusine ; Bos-Brouwers, Hilke - \ 2019
    The Hague : Wageningen Economic Research (Memorandum / Wageningen Economic Research 2019-014) - 27
    Validation of an ultra-wideband tracking system for recording individual levels of activity in broilers
    Sluis, Malou Van Der; Klerk, Britt De; Ellen, Esther D. ; Haas, Yvette De; Hijink, Thijme ; Rodenburg, Bas - \ 2019
    Animals 9 (2019)8. - ISSN 2076-2615
    Activity - Broilers - Group housing - Tracking - Ultra-wideband

    Broiler chickens are often kept in large groups, which makes it difficult to identify individual birds and monitor their activity. Here, we studied whether an automated tracking system, using ultra-wideband technology, could be implemented to study activity of individual broilers. We compared the distance as recorded with the tracking system to the distance recorded on video and found a moderately strong positive correlation. Using the tracking system, we were able to detect decreases in activity over time, and we found that lightweight birds were on average more active than heavier birds. Both these results match with reports from literature and therefore support the conclusion that the tracking system appears well-suited for monitoring activity in broilers. The information on activity over time that can be collected with this system can potentially be used to study health, welfare and performance at the individual level, but further research into individual patterns in activity is required. Individual data on activity of broilers is valuable, as activity may serve as a proxy for multiple health, welfare and performance indicators. However, broilers are often kept in large groups, which makes it dificult to identify and monitor them individually. Sensor technologies might offer solutions. Here, an ultra-wideband (UWB) tracking system was implemented with the goal of validating this system for individual tracking of activity of group-housed broilers. The implemented approaches were (1) a comparison of distances moved as recorded by the UWB system and on video and (2) a study recording individual levels of activity of broilers and assessing group-level trends in activity over time; that could be compared to activity trends from literature. There was a moderately strong positive correlation between the UWB system and video tracking. Using the UWB system, we detected reductions in activity over time and we found that lightweight birds were on average more active than heavier birds. Both findings match with reports in literature. Overall, the UWB system appears well-suited for activity monitoring in broilers, when the settings are kept the same for all individuals. The longitudinal information on differences in activity can potentially be used as proxy for health, welfare and performance; but further research into individual patterns in activity is required.

    Emissies naar lucht uit de landbouw in 2017 : Berekeningen met het model NEMA
    Bruggen, C. van; Bannink, A. ; Groenestein, C.M. ; Huijsmans, J.F.M. ; Lagerwerf, L.A. ; Luesink, H.H. ; Sluis, S.M. van der; Velthof, G.L. ; Vonk, J. - \ 2019
    Wageningen : Wettelijke Onderzoekstaken Natuur & Milieu (WOt-technical report 147) - 131
    Agricultural activities are in the Netherlands a major source of gaseous emission as ammonia (NH3), nitrogen oxide (NO),nitrous oxide (N2O), methane (CH4) and non-methane volatile organic compounds (NMVOC) and particulate matter (PM10 andPM2.5). The emissions in 2017 were calculated using the National Emission Model for Agriculture (NEMA). The method calculatesthe NH3 emission from livestock manure based on the total ammonia nitrogen (TAN) content in manure. In 2017 NH3 emissionsfrom livestock manure, fertilizer and other sources in agriculture, from hobby farms, private parties and manure application onnature areas amounted to 120.5 million kg NH3, 3.9 million kg more than in 2016. Nitrogen excretion increased due to a largerfeed requirement for dairy cows and higher nitrogen levels in roughage. N2O emissions in 2017 were 21.3 million kg, slightlyabove the level of 2016 (20.7 million kg). The NO emission in 2017 amounted to 23.1 million kg compared to 22.5 million kg in2016. The CH4 emission decreased due to the shrinking of the dairy herd from 508 to 503 million kg. NMVOC emissionsamounted to 98 million kg in 2017 compared to 99 million kg in 2016. Emissions of particulate matter PM10 and PM2.5, 6.2 and0.6 million kg respectively, hardly changed compared to 2016. Some figures in the time series 1990-2016 were revised onbasis of new insights. NH3 emissions from livestock manure in the Netherlands dropped by two thirds since 1990, mainly as aresult of lower nitrogen excretion rates by livestock and low emission manure application. Emissions of N2O and NO alsodecreased over the same period, but less strongly (38% and 31% respectively), due to higher emissions from manure injectioninto the soil and the shift from poultry housing systems with slurry manure towards solid manure systems. CH4 emissions reducedby 14% between 1990 and 2017, caused by a decrease in livestock numbers and increased feed efficiency of dairy cattle.
    Vergelijking van bemonsteringen in het IJsselmeer en Markermeer met de verhoogde 4m-boomkor versus de A-toomkuil
    Sluis, Marieken van der; Vries, Pepijn de; Kampen, Jouke ; Niemeijer, Bart - \ 2019
    IJmuiden : Wageningen Marine Research (Wageningen Marine Research report C084/19) - 49
    Automated tracking of individual activity of broiler chickens
    Sluis, M. van der; Klerk, B. de; Rodenburg, T.B. ; Haas, Y. de; Hijink, Thijme ; Ellen, E.D. - \ 2019
    In: Proceedings of the 53rd Congress of the International Society for Applied Ethology (ISAE). - Wageningen, The Netherlands : Wageningen Academic Publishers - ISBN 9789086863389 - p. 288 - 288.
    There is a growing interest in quantifying individual behaviour of group-housed animalsand its relation to individual performance. Broiler chickens are an example of a livestockspecies for which individual data can be valuable. Broiler breeding goals focus on efficientgrowth and reproduction, as well as welfare indicators for balanced genetic improvements.Recording of broiler behaviour can provide insight into welfare indicators, such as activity orgeneral leg health. However, monitoring individual behaviour in group-housed animals is achallenge. Often, video analyses are used, but these are time-consuming and prone to humanerror. Therefore, automated systems for monitoring individual animals are desired. Here, westudied whether individual broiler activity could be tracked using an ultra-wideband (UWB)system. Birds were fitted with UWB tags that sent out signals to four beacons. The location ofthe birds was determined using triangulation of the signal, allowing calculation of distancesmoved over time. Distances moved according to the UWB system were compared to thosefound on video for twelve birds. A moderately strong correlation between the UWB systemand video tracking was found (Repeated measures correlation, r=0.71 (95%-CI: 0.64-0.77),df=209, P<0.001). Furthermore, the UWB system was used for assessing individual levels ofactivity. In total, 137 birds from different genetic crosses were tracked near-continuously forseventeen consecutive days, starting on day 16 of life, and their weight was determined at thestart and end of this 17 d period. Data were analysed using an LME-model in R. First analysesshowed that activity, measured as the average distance moved, decreased over the seventeendays in all genetic crosses (F(1,127.00)=301.47, P<0.001). Furthermore, in all genetic crosses,birds with a lower weight at the start of the trial were on average more active (F(1,125.14)=9.16,P<0.01). Overall, the UWB system appears well-suited for activity monitoring in broilers andthe longitudinal information on individual differences in activity can potentially be used tomonitor health, welfare and performance at the individual level. Unfortunately, the UWBtags are too large and heavy for day-old chicks to wear and can only be implemented later inlife. Therefore, current work is focussing on the implementation of a passive radio frequencyidentification (RFID) system to track individual broiler activity, using smaller, lightweight tagsthat can be attached to the broilers’ legs at day-old. This system may be able to track individualactivity of broiler chickens throughout the entire life.
    Reduce damaging behaviour in laying hens and pigs by developing sensor technologies to inform breeding programs
    Rodenburg, T.B. ; Zande, Lisette van der; Haas, E.N. de; Kostal, L. ; Pichova, Katarina ; Piette, Deborah ; Tetens, Jens ; Visser, Bram ; Klerk, Britt de; Sluis, M. van der; Bennewitz, Jörn ; Siegford, Janice ; Norton, Tomas ; Guzhva, Oleksiy ; Ellen, E.D. - \ 2019
    In: Proceedings of the 53rd Congress of the International Society for Applied Ethology (ISAE). - Wageningen, The Netherlands : Wageningen Academic Publishers - ISBN 9789086863389 - p. 364 - 364.
    The COST Action GroupHouseNet aims to facilitate the prevention of damaging behaviourin group-housed pigs and laying hens. One area of focus is on how genetic and genomictools can be used to breed for animals that are less likely to develop damaging behaviour.The behaviours we are focusing on are feather pecking in laying hens and tail biting in pigs.Both species are kept in groups, and identifying actual performers of this behaviour (peckersand biters), and tracking them at the individual level remains challenging, but is essential forbreeding programs. It is possible to use traditional behavioural observation, but this is timeconsumingand costly. Sensor technology is a rapidly developing field and may offer solutionsfor phenotyping animals at the individual level. We propose that sensor technology combinedwith genomic methods may be useful in solving the problems of damaging behaviour in grouphousedpigs and laying hens. When evaluating the sensor technologies used until now, forlaying hens RFID and accelerometer-based approaches seem most promising. In pigs, computervision is already used to record technical performance, and there seems to be potential forexpanding this approach to the recording of damaging behaviour. If sensor signatures andgenomic fingerprints of individual animals can be combined, this would significantly improveour possibilities to reduce damaging behaviour through genetic selection.
    Automated tracking of individual activity of broiler chickens
    Sluis, M. van der; Klerk, B. de; Rodenburg, T.B. ; Haas, Y. de; Hijink, Thijme ; Ellen, E.D. - \ 2019
    Vismonitoring Zoete Rijkswateren en Overgangswateren t/m 2017 : Deel II: Toegepaste methoden
    Sluis, M.T. van der; Tien, N.S.H. ; Griffioen, A.B. ; Keeken, O.A. van; Os-Koomen, E. van; Wiegerinck, J.A.M. - \ 2019
    IJmuiden : Wageningen Marine Research (Wageningen Marine Research rapport C007.19a) - 101
    Evaluatie vismigratievoorziening Kleine Sluis IJmuiden voor schieraal
    Griffioen, A.B. ; Burggraaf, D. ; Keeken, O.A. van; Winter, H.V. - \ 2019
    IJmuiden : Wageningen Marine Research (Wageningen Marine Research rapport C014/19) - 32
    Fruitteelt en Boomkwekerij 2030 Home
    Balk, Peter ; Dalfsen, P. van; Harteveld, D.O.C. ; Heiden, Alma van der; Reuler, H. van; Sluis, B.J. van der - \ 2019
    Wageningen : Groen Kennisnet
    Review of sensor technologies in animal breeding: Phenotyping behaviors of laying hens to select against feather pecking
    Ellen, Esther D. ; Sluis, Malou Van Der; Siegford, Janice ; Guzhva, Oleksiy ; Toscano, Michael J. ; Bennewitz, Jörn ; Zande, Lisette E. Van Der; Eijk, Jerine A.J. Van Der; Haas, Elske N. de; Norton, Tomas ; Piette, Deborah ; Tetens, Jens ; Klerk, Britt de; Visser, Bram ; Bas Rodenburg, T. - \ 2019
    Animals 9 (2019)3. - ISSN 2076-2615
    -omics - Computer vision - Damaging behavior - Genetic selection - Identification - Measuring behavior - Radio frequency identification - Ultra-wideband

    Damaging behaviors, like feather pecking (FP), have large economic and welfare consequences in the commercial laying hen industry. Selective breeding can be used to obtain animals that are less likely to perform damaging behavior on their pen-mates. However, with the growing tendency to keep birds in large groups, identifying specific birds that are performing or receiving FP is difficult. With current developments in sensor technologies, it may now be possible to identify laying hens in large groups that show less FP behavior and select them for breeding. We propose using a combination of sensor technology and genomic methods to identify feather peckers and victims in groups. In this review, we will describe the use of “-omics” approaches to understand FP and give an overview of sensor technologies that can be used for animal monitoring, such as ultra-wideband, radio frequency identification, and computer vision. We will then discuss the identification of indicator traits from both sensor technologies and genomics approaches that can be used to select animals for breeding against damaging behavior.

    In het veld : Leven op de vulkaan...
    Sluis, T. van der - \ 2019
    Landschap : tijdschrift voor landschapsecologie en milieukunde 36 (2019)1. - ISSN 0169-6300 - p. 49 - 49.
    Geïntegreerd natuur- en landschapsbeheer. Succesfactoren voor het ontwikkelen van natuur en landschap : Boek
    Sluis, T. van der - \ 2019
    Landschap : tijdschrift voor landschapsecologie en milieukunde 36 (2019)1. - ISSN 0169-6300 - p. 40 - 41.
    Visbestandsonderzoek op IJsselmeer wordt uitgebreid: monitoring 's nachts met de A-toomkuil
    Sluis, M.T. van der - \ 2019
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