About: in silico Plants

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UK scientific journal

Attributes	Values
rdf:type	Item
description	ساینَسی رِسالہٕ (ks) revue scientifique (fr) academisch tijdschrift (nl) UK scientific journal (en) великобританський науковий журнал (uk)
language of work or name	wds:Q68836042-8DB4814A-87C2-4118-A875-F33752BE4C77
language of work or name	English
Scilit journal ID	wds:Q68836042-58D5E7E1-1C2E-4D14-9C00-C68A1C4F004B
Crossref journal ID	wds:Q68836042-31E9A1D0-8925-42E5-84F3-5FAF6BD90C4D
Scilit journal ID	4230111
Crossref journal ID	335857
rdfs:label	in silico Plants (en) in silico Plants (nl)
skos:prefLabel	in silico Plants (en) in silico Plants (nl)
name	in silico Plants (en) in silico Plants (nl)
title	wds:Q68836042-55493F9E-115B-4A0C-9F61-6B8E3C21C2B9
title	in silico plants (en)
Directory of Open Access Journals ID	wds:Q68836042-282AE672-46F8-405E-A5FF-A3D6A2259F45
Directory of Open Access Journals ID	2517-5025
instance of	wds:Q68836042-8528A674-A83B-4A2B-A1BC-27D5240DAAB8 wds:Q68836042-BA658855-5494-4256-8A79-0CCC4C14F5F3 wds:Q68836042-D3F121E0-FADB-418F-83C5-4FE223FD7617
instance of	periodical scientific journal scientific journal
publisher	wds:Q68836042-D23E70B7-FA4C-4711-957B-443882AFAB72
publisher	Oxford University Press
SUDOC editions	wds:Q68836042-D64DC6B8-C9D1-4F87-8FBA-00FAF3412169
Mir@bel journal ID	wds:Q68836042-457C5F49-C379-4938-A795-1F0C3D743199
SUDOC editions	http://www.sudoc.fr/242320465/id
SUDOC editions	242320465
Mir@bel journal ID	8378
skos:altLabel	In silico Plants (en)
OpenAlex ID	wds:Q68836042-C318F0C0-259E-4CAF-B1E0-72FAC21C73F2
X username	wds:Q68836042-1409e395-4d7d-66ff-f9f9-9c57694633dc
copyright license	wds:Q68836042-F7911756-01B3-4975-9678-E827434F9E58
Mastodon address	wds:Q68836042-0005e248-40c9-5d45-b888-5bcc74a86268
country of origin	wds:Q68836042-CC2AE2E2-17EF-46D0-B3F1-637EFBEBDAD9
copyright status	wds:Q68836042-C3E75D71-3576-4BFF-AF00-A06A7E351312
official website	wds:Q68836042-6767C10D-EE16-4DBB-A1FC-156B2097E9E6
social media followers	wds:Q68836042-05D04297-9B2F-4561-840A-B9B3CDF7CD3F wds:Q68836042-216D642D-B767-4941-80AB-6CC72A9260C5 wds:Q68836042-27DC5E67-F392-419C-A8FF-65CF0701E6F6
OpenAlex ID	V4210236532
X username	insilicoplants
copyright license	Creative Commons Attribution
Mastodon address	insilicoPlants@botany.social
country of origin	United Kingdom
copyright status	copyrighted
official website	https://academic.oup.com/insilicoplants
social media followers	79 (xsd:decimal) 81 (xsd:decimal) 83 (xsd:decimal)
ISSN	wds:Q68836042-7CAF3A13-EAD4-4821-A63A-30C61CAD9CBE
ISSN-L	wds:Q68836042-38465265-0EB6-46CC-AA84-84F055747ED9
ISSN	urn:ISSN:2517-5025
ISSN-L	http://issn.org/resource/ISSN/2517-5025
ISSN	2517-5025
ISSN-L	2517-5025
is owl:sameAs of	in silico Plants in silico Plants
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q68836042 In silico Plants
is published in of	Systems models, phenomics and genomics: three pillars for developing high-yielding photosynthetically efficient crops Modelling selection response in plant-breeding programs using crop models as mechanistic gene-to-phenotype (CGM-G2P) multi-trait link functions Interactions between nitrogen nutrition, canopy architecture and photosynthesis in rice, assessed using high-resolution 3D reconstruction Towards virtual modelling environments for functional–structural plant models based on Jupyter notebooks: application to the modelling of mango tree growth and development Why an increase in activity of an enzyme in the Calvin–Benson cycle does not always lead to an increased photosynthetic CO2 uptake rate?—a theoretical analysis Integrating crop growth models with remote sensing for predicting biomass yield of sorghum Using evolutionary functional–structural plant modelling to understand the effect of climate change on plant communities Real communities of virtual plants explain biodiversity on just three assumptions yggdrasil: a Python package for integrating computational models across languages and scales <i>cageminer</i>: an R/Bioconductor package to prioritize candidate genes by integrating genome-wide association studies and gene coexpression networks Incorporating realistic trait physiology into crop growth models to support genetic improvement On the pivotal role of water potential to model plant physiological processes Modelling the functional dependency between root and shoot compartments to predict the impact of the environment on the architecture of the whole plant: methodology for model fitting on simulated data using Deep Learning techniques Measuring hidden phenotype: quantifying the shape of barley seeds using the Euler characteristic transform Optimal coordination between photosynthetic acclimation strategy and canopy architecture in two contrasting cucumber cultivars Global sensitivity-based modelling approach to identify suitable <i>Eucalyptus</i> traits for adaptation to climate variability and change When architectural plasticity fails to counter the light competition imposed by planting design: an <i>in silico</i> approach using a functional–structural model of oil palm BioCro II: a software package for modular crop growth simulations Evolution and application of digital technologies to predict crop type and crop phenology in agriculture On the dynamic determinants of reproductive failure under drought in maize Phenomics data processing: extracting dose–response curve parameters from high-resolution temperature courses and repeated field-based wheat height measurements Positional variation rather than salt stress dominates changes in three-dimensional leaf shape patterns in cucumber canopies Simulating grass phenotypic plasticity as an emergent property of growth zone responses to carbon and nitrogen metabolites Within- and cross-species predictions of plant specialized metabolism genes using transfer learning Limiting transpiration rate in high evaporative demand conditions to improve Australian wheat productivity Optimal plant defence under competition for light and nutrients: an evolutionary modelling approach Genotype-specific P-spline response surfaces assist interpretation of regional wheat adaptation to climate change
is published in of	wds:Q104681617-B05FA275-A804-4CA3-B3DF-6323076A8E02 wds:Q115038048-4798403E-11CE-4BF0-B4D3-3DF98A0E107D wds:Q112806262-7477FE1A-A9BF-41D4-B4EC-A1725DBC8E27 wds:Q111514917-1DD02E86-C11B-421C-AB86-1C8A5DA31A74 wds:Q114869837-B8109D99-F365-4730-80C2-B139E6FE4BEA wds:Q125297036-91050289-8999-4308-8E27-9A5C5F1FBBE7 wds:Q112806260-4E780A11-42AA-40F7-9FA8-2B7779A99E12

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