FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2911286921> ?p ?o ?g. }

• W2911286921 endingPage "2999" @default.
• W2911286921 startingPage "2985" @default.
• W2911286921 abstract "Information about the individual herbage DMI (HDMI) of grazing dairy cows is important for an efficient use of pasture herbage as an animal feed with a range of benefits. Estimating HDMI, with its multifaceted influencing variables, is difficult but may be attempted using animal, performance, behavior, and feed variables. In our study, 2 types of approaches were explored: 1 for HDMI estimation under a global approach (GA), where all variables measured in the 4 underlying experiments were used for model development, and 1 for HDMI estimation in an approach without information about the amount of supplements fed in the barn (WSB). The accuracy of these models was assessed. The underlying data set was developed from 4 experiments with 52 GA and 50 WSB variables and one hundred thirty 7-d measurements. The experiments differed in pasture size, herbage allowance, pregrazing herbage mass, supplements fed in the barn, and sward composition. In all the experiments, cow behavioral characteristics were recorded using the RumiWatch system (Itin and Hoch GmbH, Liestal, Switzerland). Herbage intake was estimated by applying the n-alkane method. Finally, HDMI estimation models with a minimal relative prediction error of 11.1% for use under GA and 13.2% for use under WSB were developed. The variables retained for the GA model with the highest accuracy, determined through various selection steps, were herbage crude protein, chopped whole-plant corn silage intake in the barn, protein supplement or concentrate intake in the barn, body weight, milk yield, milk protein, milk lactose, lactation number, postgrazing herbage mass, and bite rate performed at pasture. Instead of the omitted amounts of feed intake in the barn and, due to the statistical procedure for model reduction, the unconsidered variables postgrazing herbage mass and bite rate performed at pasture, the WSB model with the highest accuracy retained additional variables. The additional variables were total eating chews performed at pasture and in the barn, total eating time performed at pasture, number of total prehension bites, number of prehension bites performed at pasture, and herbage ash concentration. Even though behavioral characteristics alone did not allow a sufficiently accurate individual HDMI estimation, their inclusion under WSB improved estimation accuracy and represented the most valid variables for the HDMI estimation under WSB. Under GA, the inclusion of behavioral characteristics in the HDMI estimation models did not reduce the root mean squared prediction error. Finally, further adaptation, as well as validation on a more comprehensive data set and the inclusion of variables excluded in this study such as body condition score or gestation, should be considered in the development of HDMI estimation models." @default.
• W2911286921 created "2019-02-21" @default.
• W2911286921 creator A5007684655 @default.
• W2911286921 creator A5045199922 @default.
• W2911286921 creator A5062109136 @default.
• W2911286921 creator A5087562382 @default.
• W2911286921 date "2019-04-01" @default.
• W2911286921 modified "2023-10-15" @default.
• W2911286921 title "Herbage dry matter intake estimation of grazing dairy cows based on animal, behavioral, environmental, and feed variables" @default.
• W2911286921 cites W1550474638 @default.
• W2911286921 cites W1585647060 @default.
• W2911286921 cites W1909851795 @default.
• W2911286921 cites W1990905017 @default.
• W2911286921 cites W2017313556 @default.
• W2911286921 cites W2022131355 @default.
• W2911286921 cites W2024072682 @default.
• W2911286921 cites W2042430306 @default.
• W2911286921 cites W2046199630 @default.
• W2911286921 cites W2047423148 @default.
• W2911286921 cites W2061234199 @default.
• W2911286921 cites W2067679870 @default.
• W2911286921 cites W2068033671 @default.
• W2911286921 cites W2073628002 @default.
• W2911286921 cites W2088434853 @default.
• W2911286921 cites W2092590027 @default.
• W2911286921 cites W2105994045 @default.
• W2911286921 cites W2107163373 @default.
• W2911286921 cites W2116202188 @default.
• W2911286921 cites W2132594157 @default.
• W2911286921 cites W2136619438 @default.
• W2911286921 cites W2181240839 @default.
• W2911286921 cites W2257700916 @default.
• W2911286921 cites W2413281583 @default.
• W2911286921 cites W2461325950 @default.
• W2911286921 cites W2470903542 @default.
• W2911286921 cites W2529328139 @default.
• W2911286921 cites W2557094187 @default.
• W2911286921 cites W2560740331 @default.
• W2911286921 cites W2779990957 @default.
• W2911286921 doi "https://doi.org/10.3168/jds.2018-14834" @default.
• W2911286921 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30712935" @default.
• W2911286921 hasPublicationYear "2019" @default.
• W2911286921 type Work @default.
• W2911286921 sameAs 2911286921 @default.
• W2911286921 citedByCount "28" @default.
• W2911286921 countsByYear W29112869212019 @default.
• W2911286921 countsByYear W29112869212020 @default.
• W2911286921 countsByYear W29112869212021 @default.
• W2911286921 countsByYear W29112869212022 @default.
• W2911286921 countsByYear W29112869212023 @default.
• W2911286921 crossrefType "journal-article" @default.
• W2911286921 hasAuthorship W2911286921A5007684655 @default.
• W2911286921 hasAuthorship W2911286921A5045199922 @default.
• W2911286921 hasAuthorship W2911286921A5062109136 @default.
• W2911286921 hasAuthorship W2911286921A5087562382 @default.
• W2911286921 hasBestOaLocation W29112869211 @default.
• W2911286921 hasConcept C127413603 @default.
• W2911286921 hasConcept C140793950 @default.
• W2911286921 hasConcept C147176958 @default.
• W2911286921 hasConcept C2776544680 @default.
• W2911286921 hasConcept C2777904157 @default.
• W2911286921 hasConcept C2778053677 @default.
• W2911286921 hasConcept C2778724459 @default.
• W2911286921 hasConcept C2780138947 @default.
• W2911286921 hasConcept C2780883654 @default.
• W2911286921 hasConcept C31903555 @default.
• W2911286921 hasConcept C33923547 @default.
• W2911286921 hasConcept C6557445 @default.
• W2911286921 hasConcept C86803240 @default.
• W2911286921 hasConceptScore W2911286921C127413603 @default.
• W2911286921 hasConceptScore W2911286921C140793950 @default.
• W2911286921 hasConceptScore W2911286921C147176958 @default.
• W2911286921 hasConceptScore W2911286921C2776544680 @default.
• W2911286921 hasConceptScore W2911286921C2777904157 @default.
• W2911286921 hasConceptScore W2911286921C2778053677 @default.
• W2911286921 hasConceptScore W2911286921C2778724459 @default.
• W2911286921 hasConceptScore W2911286921C2780138947 @default.
• W2911286921 hasConceptScore W2911286921C2780883654 @default.
• W2911286921 hasConceptScore W2911286921C31903555 @default.
• W2911286921 hasConceptScore W2911286921C33923547 @default.
• W2911286921 hasConceptScore W2911286921C6557445 @default.
• W2911286921 hasConceptScore W2911286921C86803240 @default.
• W2911286921 hasIssue "4" @default.
• W2911286921 hasLocation W29112869211 @default.
• W2911286921 hasLocation W29112869212 @default.
• W2911286921 hasOpenAccess W2911286921 @default.
• W2911286921 hasPrimaryLocation W29112869211 @default.
• W2911286921 hasRelatedWork W2042569359 @default.
• W2911286921 hasRelatedWork W2043157248 @default.
• W2911286921 hasRelatedWork W2045098037 @default.
• W2911286921 hasRelatedWork W2076428479 @default.
• W2911286921 hasRelatedWork W2348639077 @default.
• W2911286921 hasRelatedWork W2597621161 @default.
• W2911286921 hasRelatedWork W3003283536 @default.
• W2911286921 hasRelatedWork W3043726816 @default.
• W2911286921 hasRelatedWork W4385622727 @default.
• W2911286921 hasRelatedWork W825711318 @default.
• W2911286921 hasVolume "102" @default.

• next