Quantification of dwarfing effect of different rootstocks in ‘Picual’ olive cultivar using UAV-photogrammetry

Autor: Francisco Manuel Jiménez-Brenes, Raúl de la Rosa, Jorge Torres-Sánchez, Lorenzo León, Francisca López-Granados, Amal Kharrat
Přispěvatelé: European Commission, Ministerio de Ciencia e Innovación (España), Conferencia de Rectores de las Universidades Españolas, Consejo Superior de Investigaciones Científicas (España)
Rok vydání: 2022
Předmět:
Zdroj: Digital.CSIC. Repositorio Institucional del CSIC
instname
ISSN: 1573-1618
1385-2256
Popis: Hedgerow orchard is an olive growing system where trees are planted at a super high-density higher than 20-fold (i.e., 1200–2500 trees ha−1) compared to the traditional density of olive orchards (usually 50 to 160 trees ha−1). It is dominating a great proportion of new plantations because harvesting can be fully mechanized, it is early bearing and has a relatively constant high productivity. However, there are a limited number of cultivars with sufficiently low vigour to be suitable for such plantation densities. For that reason, a set of low vigour cultivars and breeding selections has been used in a field experiment as rootstocks for reducing the vigour of “Picual”, the most frequent cultivar planted in Spain. Tree vigour was characterized by measuring crown height, projected and side areas, and volume through the analysis of photogrammetric point clouds created from images acquired with an unmanned aerial vehicle. A significant reduction of the ‘Picual’ vigour was observed in most of the rootstocks tested, with canopy volume reduced up to one half. High variability on vigour, first harvesting and their relative relationship was observed between the different rootstocks used. This indicates there might be enough genetic variability to perform breeding selection for dwarfing rootstocks on ‘Picual’ olive cultivar.
This research was financed by the PID2020-113229RB-C44 (Spanish Ministry of Science & Innovation-ERDF: European Regional Development Fund), AVA2016.01.2 and AVA2019.027 partially funded by ERDF, and Intramural-CSIC 202040E230 projects. Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature.
Databáze: OpenAIRE