Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/5617
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dc.contributor.authorNurul Syaza Abdul Latifen_US
dc.contributor.authorNoor Asma’ Mohd Anuar Mushoddaden_US
dc.date.accessioned2024-01-13T03:33:44Z-
dc.date.available2024-01-13T03:33:44Z-
dc.date.issued2023-
dc.identifier.isbn978-629-489-005-3-
dc.identifier.urihttp://hdl.handle.net/123456789/5617-
dc.descriptionMapimen_US
dc.description.abstractPlant growth analysis is now a widely used tool in various fields such as plant breeding, physiology, and ecology. Changes in a phenotype during the growth period can be modelled via growth curves, such as generalized logistic, logistic or Gompertz growth curves. Behaviour of the growth curves can change according to the living organisms, the phenotype to be studied and environment to which it is exposed. To be able to evaluate the growth data correctly, it is required to select a suitable growth curve and its parameters should be able to be interpreted biologically.en_US
dc.language.isoenen_US
dc.publisherUMK Pressen_US
dc.subjectPlant growthen_US
dc.titleChapter 11 : How to data fitting your experimental data on crop growth: Step-by-step guide using mycurvefiten_US
dc.typePrinteden_US
dc.description.page140-151en_US
dc.title.titleofbookEmpirical studies of agro-based industry: Volume 3 (agriculture and aquaculture)en_US
dc.description.typeChapter in Booken_US
item.fulltextWith Fulltext-
item.openairetypePrinted-
item.languageiso639-1en-
item.grantfulltextopen-
Appears in Collections:Book Sections (Others) - FIAT
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