Annual shoot growth on apple trees with variable canopy leaf area and crop load in response to LiDAR scanned leaf area to fruit ratio

dc.bibliographicCitation.firstPage155
dc.bibliographicCitation.issue3
dc.bibliographicCitation.lastPage162
dc.bibliographicCitation.volume36
dc.contributor.authorPenzel, Martin
dc.contributor.authorTsoulias, Nikos
dc.date.accessioned2023-01-27T08:11:03Z
dc.date.available2023-01-27T08:11:03Z
dc.date.issued2022
dc.description.abstractIn tree fruit crops, the crop load is one factor that has an influence on the vegetative growth of the trees. However, since trees vary in leaf area and associated fruit bearing capacity, the number of fruit per tree alone is not sufficient to predict their vegetative growth. In the present study, it was investigated whether the leaf area to fruit ratio of trees variable in size and crop load, measured automatically with a LiDAR laser scanner, have an influence on growth properties of the annual shoots. Canopy leaf area, the number of fruit per tree and the leaf area to fruit ratio of apple trees from two commercial apple orchards of the cultivar 'Gala' grown on sandy soils were scanned with a LiDAR laser scanner over a two-year period (n=12 trees per orchard and year). Additionally, the amount of carbon partitioned to fruit and annual shoot growth was quantified for each tree in both years (n=36). No correlation between the number of fruit per tree and the canopy leaf area alone to the amount of carbon partitioned to annual shoot growth was found in both orchards. However, the carbon partitioned to fruit correlated to the leaf area to fruit ratio, while the amount of carbon partitioned to the annual shoot growth was only correlated to the leaf area to fruit ratio in the young orchard. The inter-tree variability in shoot properties has been described. Nevertheless, it was found that the leaf area to fruit ratio is a weak indicator for shoot properties in apple trees, especially in the mature orchards.eng
dc.description.sponsorshipLeibniz_Fonds
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/11102
dc.identifier.urihttp://dx.doi.org/10.34657/10128
dc.language.isoeng
dc.publisherLublin : IA PAS
dc.relation.doihttps://doi.org/10.31545/intagr/150761
dc.relation.essn2300-8725
dc.relation.ispartofseriesInternational agrophysics : a quarterly journal on physics in agricultural and environmental sciences 36 (2022), Nr. 3
dc.relation.issn0236-8722
dc.rights.licenseCC BY-NC-ND 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject'Gala'eng
dc.subjectcanopy mappingeng
dc.subjectcarbon partitioningeng
dc.subjectfruit detectioneng
dc.subjectMalus x domesticaeng
dc.subject.ddc630
dc.subject.ddc640
dc.titleAnnual shoot growth on apple trees with variable canopy leaf area and crop load in response to LiDAR scanned leaf area to fruit ratioeng
dc.typearticle
dc.typeText
dcterms.bibliographicCitation.journalTitleInternational agrophysics : a quarterly journal on physics in agricultural and environmental sciences
tib.accessRightsopenAccess
wgl.contributorATB
wgl.subjectPhysikger
wgl.subjectUmweltwissenschaftenger
wgl.typeZeitschriftenartikelger
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