FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4311808974> ?p ?o ?g. }

• W4311808974 endingPage "111768" @default.
• W4311808974 startingPage "111768" @default.
• W4311808974 abstract "Current knowledge on crop irrigation in greenhouses is limited, and most irrigation measures are based on evapotranspiration (ET) estimated using external climatic conditions. Moreover, crop water requirement estimation by the Penman-Monteith (PM) model assumes complete coverage of the soil by the plants and usually does not account for partial cover, which changes during the growth of annual crops. The main goals of the present research were: (i) to develop and apply irrigation demand estimates for greenhouse pepper crops during their growth, based on internal meteorological conditions and real-time plant characteristics; and (ii) to examine the effect of that irrigation on yield. Experiments were conducted during two consecutive seasons in greenhouse pepper crops in the Jordan Valley region of eastern Israel. Four irrigation treatments were applied based on four different ET models: (i) PM model for outside reference evapotranspiration based on the FAO56 methodology, also denoted as the commercial treatment; (ii) PMrb model for pepper plants, which is a standard PM model in which a boundary layer resistance replaces the aerodynamic resistance; (iii) Shuttleworth-Wallace Layer (SWL) model which considers the soil and plants as separate interactive layers; (iv) Shuttleworth-Wallace Patch (SWP) model which considers the soil and plants as independent patches. The commercial treatment used external climatic conditions from a nearby meteorological station, whereas the other three treatments used internal meteorological conditions measured inside the greenhouse. Results showed a high correlation (R2 > 0.88) between leaf area index, vegetation cover fraction, and plant height during plant growth. Using the same meteorological conditions inside the greenhouse, the seasonal ET estimated by the PMrb model, which considers full vegetation cover, was larger by 21-28% than the SWL and SWP models, which consider the partial plant cover. Irrigation doses were deduced from ET multiplied by crop coefficients derived in a previous study for the same crop and structures. Using average data of the two seasons, we found that seasonal irrigation based on the two SW models was lower by 5-15% than that based on PMrb, and by 35-42% than the commercial irrigation. The water use efficiency of the commercial treatment was the lowest, while for the other treatments it was about 0.02 ton m-3 and higher by about 40% than the commercial. We conclude that irrigation of annual crops based on partitioning ET into evaporation and transpiration based on crop coverage and using internal climatic conditions allows water-savings without significant yield loss." @default.
• W4311808974 created "2022-12-28" @default.
• W4311808974 creator A5009271273 @default.
• W4311808974 creator A5028757400 @default.
• W4311808974 creator A5031089523 @default.
• W4311808974 creator A5040284419 @default.
• W4311808974 creator A5040948877 @default.
• W4311808974 creator A5047416793 @default.
• W4311808974 creator A5050390844 @default.
• W4311808974 creator A5065909484 @default.
• W4311808974 date "2023-02-01" @default.
• W4311808974 modified "2023-10-18" @default.
• W4311808974 title "Irrigation of protected pepper crops according to growth stage using dynamic evapotranspiration estimates increases the water use efficiency" @default.
• W4311808974 cites W1973192842 @default.
• W4311808974 cites W1978557506 @default.
• W4311808974 cites W1983864550 @default.
• W4311808974 cites W1996878377 @default.
• W4311808974 cites W2007366538 @default.
• W4311808974 cites W2014174549 @default.
• W4311808974 cites W2017243196 @default.
• W4311808974 cites W2023060051 @default.
• W4311808974 cites W2029105146 @default.
• W4311808974 cites W2090106684 @default.
• W4311808974 cites W2130031595 @default.
• W4311808974 cites W2131990727 @default.
• W4311808974 cites W2134994509 @default.
• W4311808974 cites W2137136868 @default.
• W4311808974 cites W2140404713 @default.
• W4311808974 cites W224036905 @default.
• W4311808974 cites W232260896 @default.
• W4311808974 cites W2589971164 @default.
• W4311808974 cites W2883944476 @default.
• W4311808974 cites W2982911025 @default.
• W4311808974 cites W3001116657 @default.
• W4311808974 cites W3097829148 @default.
• W4311808974 cites W3208940542 @default.
• W4311808974 doi "https://doi.org/10.1016/j.scienta.2022.111768" @default.
• W4311808974 hasPublicationYear "2023" @default.
• W4311808974 type Work @default.
• W4311808974 citedByCount "1" @default.
• W4311808974 countsByYear W43118089742023 @default.
• W4311808974 crossrefType "journal-article" @default.
• W4311808974 hasAuthorship W4311808974A5009271273 @default.
• W4311808974 hasAuthorship W4311808974A5028757400 @default.
• W4311808974 hasAuthorship W4311808974A5031089523 @default.
• W4311808974 hasAuthorship W4311808974A5040284419 @default.
• W4311808974 hasAuthorship W4311808974A5040948877 @default.
• W4311808974 hasAuthorship W4311808974A5047416793 @default.
• W4311808974 hasAuthorship W4311808974A5050390844 @default.
• W4311808974 hasAuthorship W4311808974A5065909484 @default.
• W4311808974 hasConcept C137660486 @default.
• W4311808974 hasConcept C144027150 @default.
• W4311808974 hasConcept C176783924 @default.
• W4311808974 hasConcept C18903297 @default.
• W4311808974 hasConcept C25989453 @default.
• W4311808974 hasConcept C2776242653 @default.
• W4311808974 hasConcept C32198211 @default.
• W4311808974 hasConcept C39432304 @default.
• W4311808974 hasConcept C6557445 @default.
• W4311808974 hasConcept C72551326 @default.
• W4311808974 hasConcept C86803240 @default.
• W4311808974 hasConcept C88862950 @default.
• W4311808974 hasConceptScore W4311808974C137660486 @default.
• W4311808974 hasConceptScore W4311808974C144027150 @default.
• W4311808974 hasConceptScore W4311808974C176783924 @default.
• W4311808974 hasConceptScore W4311808974C18903297 @default.
• W4311808974 hasConceptScore W4311808974C25989453 @default.
• W4311808974 hasConceptScore W4311808974C2776242653 @default.
• W4311808974 hasConceptScore W4311808974C32198211 @default.
• W4311808974 hasConceptScore W4311808974C39432304 @default.
• W4311808974 hasConceptScore W4311808974C6557445 @default.
• W4311808974 hasConceptScore W4311808974C72551326 @default.
• W4311808974 hasConceptScore W4311808974C86803240 @default.
• W4311808974 hasConceptScore W4311808974C88862950 @default.
• W4311808974 hasFunder F4320322739 @default.
• W4311808974 hasLocation W43118089741 @default.
• W4311808974 hasOpenAccess W4311808974 @default.
• W4311808974 hasPrimaryLocation W43118089741 @default.
• W4311808974 hasRelatedWork W2040693669 @default.
• W4311808974 hasRelatedWork W2043793589 @default.
• W4311808974 hasRelatedWork W2075022031 @default.
• W4311808974 hasRelatedWork W2081712988 @default.
• W4311808974 hasRelatedWork W2415500273 @default.
• W4311808974 hasRelatedWork W2496135721 @default.
• W4311808974 hasRelatedWork W2734488131 @default.
• W4311808974 hasRelatedWork W2971742813 @default.
• W4311808974 hasRelatedWork W3092710394 @default.
• W4311808974 hasRelatedWork W4283700678 @default.
• W4311808974 hasVolume "310" @default.
• W4311808974 isParatext "false" @default.
• W4311808974 isRetracted "false" @default.
• W4311808974 workType "article" @default.