Les logiciels d'analyse statistique

Plan factoriel

Contenu

Titre (dcterms:title)

fr Plan factoriel
en Factorial design

Identifiant (dcterms:identifier)

label (rdfs:label)

en Factorial design
fr Plan factoriel

editor preferred label (obo:IAO_0000111)

en factorial design

example of usage (obo:IAO_0000112)

en PMID: 17582121-Our objective was to examine the effects of dietary cation-anion difference (DCAD) with different concentrations of dietary crude protein (CP) on performance and acid-base status in early lactation cows. Six lactating Holstein cows averaging 44 d in milk were used in a 6 x 6 Latin square design with a 2 x 3 factorial arrangement of treatments: DCAD of -3, 22, or 47 milliequivalents (Na + K - Cl - S)/100 g of dry matter (DM), and 16 or 19% CP on a DM basis. Linear increases with DCAD occurred in DM intake, milk fat percentage, 4% fat-corrected milk production, milk true protein, milk lactose, and milk solids-not-fat. Milk production itself was unaffected by DCAD. Jugular venous blood pH, base excess and HCO3(-) concentration, and urine pH increased, but jugular venous blood Cl- concentration, urine titratable acidity, and net acid excretion decreased linearly with increasing DCAD. An elevated ratio of coccygeal venous plasma essential AA to nonessential AA with increasing DCAD indicated that N metabolism in the rumen was affected, probably resulting in more microbial protein flowing to the small intestine. Cows fed 16% CP had lower urea N in milk than cows fed 19% CP; the same was true for urea N in coccygeal venous plasma and urine. Dry matter intake, milk production, milk composition, and acid-base status did not differ between the 16 and 19% CP treatments. It was concluded that DCAD affected DM intake and performance of dairy cows in early lactation. Feeding 16% dietary CP to cows in early lactation, compared with 19% CP, maintained lactation performance while reducing urea N excretion in milk and urine.

has curation status (obo:IAO_0000114)

definition (obo:IAO_0000115)

en factorial design is_a study design which is used to evaluate two or more factors simultaneously. The treatments are combinations of levels of the factors. The advantages of factorial designs over one-factor-at-a-time experiments is that they are more efficient and they allow interactions to be detected. In statistics, a factorial design experiment is an experiment whose design consists of two or more factors, each with discrete possible values or levels, and whose experimental units take on all possible combinations of these levels across all such factors. Such an experiment allows studying the effect of each factor on the response variable, as well as the effects of interactions between factors on the response variable.
fr Le plan factoriel (« factorial design ») est un plan d’expérience qui répond à deux questions différentes avec le même essai. Il permet un gain de temps et une « économie en patients ». Pour atteindre correctement son but, il est nécessaire que les traitements n’interagissent pas entre eux. Autrement, le plan factoriel perd sa puissance et se retrouve dans l’impossibilité de répondre à aucune des deux questions.

term editor (obo:IAO_0000117)

en Philippe Rocca-Serra
fr Jean-Marc Meunier

imported from (obo:IAO_0000412)

ISI Glossary (ont:ISI_Glossary)

subClassOf (rdfs:subClassOf)

hierarchy level (md:hierarchyLevel)

fr 1
fr 2
fr 3
fr 4
fr 5
fr 6
fr 7
fr 8
fr 9

Ressources liées

Filtre par propriété

subClassOf
Titre Label alternatif Classe
Plan factoriel fractionnaire Class
Plan factoriel complet Class
Plan factoriel 2x2 Class
Descripteur statistique
Titre Label alternatif Classe
Poison Experiment Fiche concept statistique Dataset
Snail Mortality Fiche concept statistique Dataset
has broader
Titre Label alternatif Classe
Plan factoriel complet Class
Plan factoriel 2x2 Class
Plan factoriel fractionnaire Class
has narrower
Titre Label alternatif Classe
Plan d'étude Class

Annotations

There are no annotations for this resource.