Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/13645
Title: Canopy management strategies for macadamia ('Macadamia integrifolia', 'M. integrifolia' x 'M. tetraphylla')
Contributor(s): McFadyen, Lisa Maree (author); Kristiansen, Paul  (supervisor)orcid ; Sedgley, Margaret  (supervisor); Olesen, Trevor  (supervisor)
Conferred Date: 2013
Copyright Date: 2012
Open Access: Yes
Handle Link: https://hdl.handle.net/1959.11/13645
Abstract: Macadamia is a subtropical evergreen tree native to the east coast of Australia and grown around the world for its edible kernel. The trees are tall with dense canopies and at maturity orchards are heavily shaded and crowded unless tree size is controlled. This shading has been associated with yield decline but the evidence for this is limited to one site. The shading also limits ground-cover growth leading to increased soil erosion; slows orchard floor drying after rain resulting in harvest delays and reduced nut quality; and increases pest and disease pressure. Crowded orchards are also more difficult to spray effectively. The aims of this study were to further investigate the evidence for yield decline, assess canopy management methods adopted by industry, and investigate the effect of pruning on fruit set to improve outcomes from some of these methods. A yield survey in mature orchards confirmed earlier conclusions that yield decline occurred at high levels of light interception but that it was small compared with inter-seasonal yield variation.
Publication Type: Thesis Doctoral
Fields of Research (FoR) 2008: 070601 Horticultural Crop Growth and Development
Fields of Research (FoR) 2020: 300802 Horticultural crop growth and development
Socio-Economic Objective (SEO) 2008: 820206 Macadamias
Socio-Economic Objective (SEO) 2020: 260507 Macadamias
Rights Statement: Copyright 2012 - Lisa Maree McFadyen
HERDC Category Description: T2 Thesis - Doctorate by Research
Publisher/associated links: http://horttech.ashspublications.org/content/23/1/64
Appears in Collections:Thesis Doctoral

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