FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2920959547> ?p ?o ?g. }

• W2920959547 abstract "Spineless cactus is a useful feed for various animal species in arid and semiarid regions due to its adaptability to dry and harsh soil, high efficiency of water use and carbohydrates storage. This meta-analysis was carried out to assess the effect of spineless cactus on animal performance, and develop and evaluate equations to predict dry matter intake (DMI) and average daily gain (ADG) in meat lambs. Equations for predicting DMI and ADG as a function of animal and diet characteristics were developed using data from eight experiments. The dataset was comprised of 40 treatment means from 289 meat lambs, in which cactus was included from 0 to 75% of the diet dry matter (DM). Accuracy and precision were evaluated by cross-validation using the mean square error of prediction (MSEP), which was decomposed into mean bias, systematic bias and random error; concordance correlation coefficient, which was decomposed into accuracy (Cb) and precision (ρ); and coefficient of determination (R2). In addition, the data set was used to evaluate the predicting accuracy and precision of the main lamb feeding systems (Agricultural and Food Research Council, Small Ruminant Nutritional System, National Research Council and Institut National de la Recherche Agronomique) and also two Brazilian studies. The DMI, CP intake (CPI), metabolizable energy (ME) intake and ADG increased when cactus was included up to 499 g/kg DM (P<0.001). In contrast, animals fed high levels of cactus (>500 g/kg DM) had a decreased DMI, CPI and NDF intake, but increased feed efficiency (P<0.001) and similar ADG compared with those without cactus addition. The DMI was positively correlated with initial BW, final BW, concentrate and ADG, while it was negatively correlated with cactus inclusion and ME of the diet. On other hand, ADG was positively correlated with DMI, initial and mean BW and concentrate, and it was negatively correlated with cactus inclusion. The two developed equations had high accuracy (Cb of 0.95 for DMI and 0.94 for ADG) and the random error of MSEP was 99% for both equations. The precision of both equations was moderate, with R2 values of 0.53 and 0.50 and ρ values of 0.73 and 0.71 for DMI and ADG, respectively. In conclusion, the developed equation to predict DMI had moderate precision and high accuracy, nonetheless, it was more efficient than those reported in the literature. The proposed equations can be a useful alternative to estimate intake and performance of lambs fed cactus." @default.
• W2920959547 created "2019-03-22" @default.
• W2920959547 creator A5002732827 @default.
• W2920959547 creator A5021720070 @default.
• W2920959547 creator A5024016242 @default.
• W2920959547 creator A5033062389 @default.
• W2920959547 creator A5044039017 @default.
• W2920959547 creator A5053707097 @default.
• W2920959547 creator A5066907973 @default.
• W2920959547 creator A5079976793 @default.
• W2920959547 creator A5083047763 @default.
• W2920959547 creator A5089100484 @default.
• W2920959547 date "2019-01-01" @default.
• W2920959547 modified "2023-10-16" @default.
• W2920959547 title "Meta-analysis of spineless cactus feeding to meat lambs: performance and development of mathematical models to predict dry matter intake and average daily gain" @default.
• W2920959547 cites W1970744500 @default.
• W2920959547 cites W1981415784 @default.
• W2920959547 cites W1988987269 @default.
• W2920959547 cites W1989184743 @default.
• W2920959547 cites W1993915125 @default.
• W2920959547 cites W2016146774 @default.
• W2920959547 cites W2017531836 @default.
• W2920959547 cites W2022251174 @default.
• W2920959547 cites W2031193697 @default.
• W2920959547 cites W2064648905 @default.
• W2920959547 cites W2066860809 @default.
• W2920959547 cites W2073021372 @default.
• W2920959547 cites W2075529963 @default.
• W2920959547 cites W2100138726 @default.
• W2920959547 cites W2112296600 @default.
• W2920959547 cites W2120904155 @default.
• W2920959547 cites W2142635246 @default.
• W2920959547 cites W2153021933 @default.
• W2920959547 cites W2164728025 @default.
• W2920959547 cites W2620756526 @default.
• W2920959547 cites W2738570767 @default.
• W2920959547 cites W2803005512 @default.
• W2920959547 doi "https://doi.org/10.1017/s1751731119000326" @default.
• W2920959547 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30838969" @default.
• W2920959547 hasPublicationYear "2019" @default.
• W2920959547 type Work @default.
• W2920959547 sameAs 2920959547 @default.
• W2920959547 citedByCount "6" @default.
• W2920959547 countsByYear W29209595472021 @default.
• W2920959547 countsByYear W29209595472022 @default.
• W2920959547 countsByYear W29209595472023 @default.
• W2920959547 crossrefType "journal-article" @default.
• W2920959547 hasAuthorship W2920959547A5002732827 @default.
• W2920959547 hasAuthorship W2920959547A5021720070 @default.
• W2920959547 hasAuthorship W2920959547A5024016242 @default.
• W2920959547 hasAuthorship W2920959547A5033062389 @default.
• W2920959547 hasAuthorship W2920959547A5044039017 @default.
• W2920959547 hasAuthorship W2920959547A5053707097 @default.
• W2920959547 hasAuthorship W2920959547A5066907973 @default.
• W2920959547 hasAuthorship W2920959547A5079976793 @default.
• W2920959547 hasAuthorship W2920959547A5083047763 @default.
• W2920959547 hasAuthorship W2920959547A5089100484 @default.
• W2920959547 hasBestOaLocation W29209595471 @default.
• W2920959547 hasConcept C126322002 @default.
• W2920959547 hasConcept C140793950 @default.
• W2920959547 hasConcept C150903083 @default.
• W2920959547 hasConcept C168743327 @default.
• W2920959547 hasConcept C18903297 @default.
• W2920959547 hasConcept C2780106946 @default.
• W2920959547 hasConcept C2780138947 @default.
• W2920959547 hasConcept C2780505807 @default.
• W2920959547 hasConcept C33923547 @default.
• W2920959547 hasConcept C6557445 @default.
• W2920959547 hasConcept C71924100 @default.
• W2920959547 hasConcept C86803240 @default.
• W2920959547 hasConcept C95190672 @default.
• W2920959547 hasConceptScore W2920959547C126322002 @default.
• W2920959547 hasConceptScore W2920959547C140793950 @default.
• W2920959547 hasConceptScore W2920959547C150903083 @default.
• W2920959547 hasConceptScore W2920959547C168743327 @default.
• W2920959547 hasConceptScore W2920959547C18903297 @default.
• W2920959547 hasConceptScore W2920959547C2780106946 @default.
• W2920959547 hasConceptScore W2920959547C2780138947 @default.
• W2920959547 hasConceptScore W2920959547C2780505807 @default.
• W2920959547 hasConceptScore W2920959547C33923547 @default.
• W2920959547 hasConceptScore W2920959547C6557445 @default.
• W2920959547 hasConceptScore W2920959547C71924100 @default.
• W2920959547 hasConceptScore W2920959547C86803240 @default.
• W2920959547 hasConceptScore W2920959547C95190672 @default.
• W2920959547 hasLocation W29209595471 @default.
• W2920959547 hasLocation W29209595472 @default.
• W2920959547 hasLocation W29209595473 @default.
• W2920959547 hasOpenAccess W2920959547 @default.
• W2920959547 hasPrimaryLocation W29209595471 @default.
• W2920959547 hasRelatedWork W118139684 @default.
• W2920959547 hasRelatedWork W2011140645 @default.
• W2920959547 hasRelatedWork W2093121354 @default.
• W2920959547 hasRelatedWork W2102705311 @default.
• W2920959547 hasRelatedWork W2528009848 @default.
• W2920959547 hasRelatedWork W2619466421 @default.
• W2920959547 hasRelatedWork W2982091720 @default.
• W2920959547 hasRelatedWork W2992584924 @default.
• W2920959547 hasRelatedWork W2994575897 @default.
• W2920959547 hasRelatedWork W2476951671 @default.
• W2920959547 isParatext "false" @default.

• next