46 research outputs found
Feeding Behaviour, Swimming Activity and Boldness Explain Variation in Feed Intake and Growth of Sole (Solea solea) Reared in Captivity
The major economic constraint for culturing sole (Solea solea) is its slow and variable growth. The objective was to study the relationship between feed intake/efficiency, growth, and (non-) feeding behaviour of sole. Sixteen juveniles with an average (SD) growth of 2.7 (1.9) g/kg0.8/d were selected on their growth during a 4-week period in which they were housed communally with 84 other fish. Selected fish were housed individually during a second 4-week period to measure individual feed intake, growth, and behaviour. Fish were hand-fed three times a day during the dark phase of the day until apparent satiation. During six different days, behaviour was recorded twice daily during 3 minutes by direct observations. Total swimming activity, frequency of burying and of escapes were recorded. At the beginning and end of the growth period, two sequential behavioural tests were performed: âNovel Environmentâ and âLight Avoidanceâ. Fish housed individually still exhibited pronounced variation in feed intake (CVâ=â23%), growth (CVâ=â25%) and behavior (CVâ=â100%). Differences in feed intake account for 79% of the observed individual differences in growth of sole. Fish with higher variation in feed intake between days and between meals within days had significantly a lower total feed intake (râ=ââ0.65 and râ=ââ0.77) and growth. Active fish showed significantly higher feed intake (râ=â0.66) and growth (râ=â0.58). Boldness during both challenge tests was related to fast growth: (1) fish which reacted with a lower latency time to swim in a novel environment had significantly higher feed intake (râ=ââ0.55) and growth (râ=ââ0.66); (2) fish escaping during the light avoidance test tended to show higher feed intake (P<0.1) and had higher growth (P<0.05). In conclusion, feeding consistency, swimming activity in the tank, and boldness during behavioral tests are related to feed intake and growth of sole in captivity
Avaliação do risco cardiovascular de pacientes renais crônicos segundo critÊrios de Framingham
Herança de caracteres de resistência por antixenose de Solanum pennellii à traça-do-tomateiro em cruzamento com 'Santa Clara'
Pervasive gaps in Amazonian ecological research.
This is the final version. Available from Elsevier via the DOI in this record.âŻData and code availability:
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Metadata have been deposited at Zenodo and are publicly available as of the date of publication. DOIs are listed in the key resources table.
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All original code has been deposited at Zenodo and is publicly available as of the date of publication. DOIs are listed in the key resources table.
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Any additional information required to reanalyse the data reported in this paper is available from the lead contact upon request.Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%-18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost.Conselho Nacional de Desenvolvimento CientĂfico (CNPq)Conselho Nacional de Desenvolvimento CientĂfico (CNPq)SĂŁo Paulo Research Foundation (FAPESP)SĂŁo Paulo Research Foundation (FAPESP)SĂŁo Paulo Research Foundation (FAPESP)SĂŁo Paulo Research Foundation (FAPESP)Natural Environment Research Council (NERC)University of Bristol (PolicyBristol)University of Bristol Climate and Net Zero Impact AwardsUniversity of Bristol Elizabeth Blackwell Institute Rapid Research FundingNatural Environment Research Council (NERC)European Unionâs Horizon 202