Optimization of Light Interception, Leaf Area and Yield in “WA38”: Comparisons among Training Systems, Rootstocks and Pruning Techniques

As apple orchards have transitioned to high-density plantings, proper training systems are required to manage increased leaf area. Leaf area index (LAI) is defined as the ratio between leaf area to ground area (m<sup>2</sup>/m<sup>2</sup>) and can infer orchard health, light...

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Main Authors: Brendon Anthony, Sara Serra, Stefano Musacchi
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Agronomy
Subjects:
Online Access:https://www.mdpi.com/2073-4395/10/5/689
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spelling doaj-28523be01f694ff9be870bb9907f76bc2021-04-02T07:47:24ZengMDPI AGAgronomy2073-43952020-05-011068968910.3390/agronomy10050689Optimization of Light Interception, Leaf Area and Yield in “WA38”: Comparisons among Training Systems, Rootstocks and Pruning TechniquesBrendon Anthony0Sara Serra1Stefano Musacchi2Department of Horticulture, Tree Fruit and Research Extension Center (TFREC), Washington State University, 1100 N. Western Avenue, Wenatchee, WA 98801, USADepartment of Horticulture, Tree Fruit and Research Extension Center (TFREC), Washington State University, 1100 N. Western Avenue, Wenatchee, WA 98801, USADepartment of Horticulture, Tree Fruit and Research Extension Center (TFREC), Washington State University, 1100 N. Western Avenue, Wenatchee, WA 98801, USAAs apple orchards have transitioned to high-density plantings, proper training systems are required to manage increased leaf area. Leaf area index (LAI) is defined as the ratio between leaf area to ground area (m<sup>2</sup>/m<sup>2</sup>) and can infer orchard health, light relationships and productivity. New technologies enable rapid assessments of LAI and light interception (LI) in the orchard. In this study, LAI, LI, and productivity were assessed across two training systems (Spindle and V), two rootstocks (Geneva 41<sup>®</sup> (G41) and Malling 9—Nic29 (Nic29)) and two pruning techniques (“click” and bending) in 2016 and 2017. The objective of this study was to determine a management strategy for “WA38” to meet optimal levels for LAI (1.2–2.0) and light interception (65–75%). Higher light interception was measured in V compared to Spindle and in G41 compared to Nic29 in both years. Minimal differences in LAI and light interception were detected across pruning techniques. In “WA38” the “click” technique maintained more consistent yields than bending. In both years, the Spindle-Nic29-“click” combination maintained optimal thresholds for LAI (1.93 and 1.48), light interception (66% and 68%) and consistent yields. This sequence helps mitigate “blind wood” and alternate bearing, while optimizing leaf area and light in “WA38”.https://www.mdpi.com/2073-4395/10/5/689leaf area indexlight penetrationCosmic Crisp<sup>®</sup>blind woodtype IV habitclick pruning
collection DOAJ
language English
format Article
sources DOAJ
author Brendon Anthony
Sara Serra
Stefano Musacchi
spellingShingle Brendon Anthony
Sara Serra
Stefano Musacchi
Optimization of Light Interception, Leaf Area and Yield in “WA38”: Comparisons among Training Systems, Rootstocks and Pruning Techniques
Agronomy
leaf area index
light penetration
Cosmic Crisp<sup>®</sup>
blind wood
type IV habit
click pruning
author_facet Brendon Anthony
Sara Serra
Stefano Musacchi
author_sort Brendon Anthony
title Optimization of Light Interception, Leaf Area and Yield in “WA38”: Comparisons among Training Systems, Rootstocks and Pruning Techniques
title_short Optimization of Light Interception, Leaf Area and Yield in “WA38”: Comparisons among Training Systems, Rootstocks and Pruning Techniques
title_full Optimization of Light Interception, Leaf Area and Yield in “WA38”: Comparisons among Training Systems, Rootstocks and Pruning Techniques
title_fullStr Optimization of Light Interception, Leaf Area and Yield in “WA38”: Comparisons among Training Systems, Rootstocks and Pruning Techniques
title_full_unstemmed Optimization of Light Interception, Leaf Area and Yield in “WA38”: Comparisons among Training Systems, Rootstocks and Pruning Techniques
title_sort optimization of light interception, leaf area and yield in “wa38”: comparisons among training systems, rootstocks and pruning techniques
publisher MDPI AG
series Agronomy
issn 2073-4395
publishDate 2020-05-01
description As apple orchards have transitioned to high-density plantings, proper training systems are required to manage increased leaf area. Leaf area index (LAI) is defined as the ratio between leaf area to ground area (m<sup>2</sup>/m<sup>2</sup>) and can infer orchard health, light relationships and productivity. New technologies enable rapid assessments of LAI and light interception (LI) in the orchard. In this study, LAI, LI, and productivity were assessed across two training systems (Spindle and V), two rootstocks (Geneva 41<sup>®</sup> (G41) and Malling 9—Nic29 (Nic29)) and two pruning techniques (“click” and bending) in 2016 and 2017. The objective of this study was to determine a management strategy for “WA38” to meet optimal levels for LAI (1.2–2.0) and light interception (65–75%). Higher light interception was measured in V compared to Spindle and in G41 compared to Nic29 in both years. Minimal differences in LAI and light interception were detected across pruning techniques. In “WA38” the “click” technique maintained more consistent yields than bending. In both years, the Spindle-Nic29-“click” combination maintained optimal thresholds for LAI (1.93 and 1.48), light interception (66% and 68%) and consistent yields. This sequence helps mitigate “blind wood” and alternate bearing, while optimizing leaf area and light in “WA38”.
topic leaf area index
light penetration
Cosmic Crisp<sup>®</sup>
blind wood
type IV habit
click pruning
url https://www.mdpi.com/2073-4395/10/5/689
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AT saraserra optimizationoflightinterceptionleafareaandyieldinwa38comparisonsamongtrainingsystemsrootstocksandpruningtechniques
AT stefanomusacchi optimizationoflightinterceptionleafareaandyieldinwa38comparisonsamongtrainingsystemsrootstocksandpruningtechniques
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