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https://doi.org/10.5...arrow_drop_down
https://doi.org/10.58532/v2bs9...
Part of book or chapter of book . 2023 . Peer-reviewed
Data sources: Crossref
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CANOPY MANAGEMENT IN FRUIT CROPS

Authors: Fathema Zaman; Govind Vishwakarma; Ranjit Pal; Sukanya Misra; Suneeta Singh;

CANOPY MANAGEMENT IN FRUIT CROPS

Abstract

The term "canopy" describes the physical structure of a fruit tree, which includes the stem, branches, shoot, and leaves. The density of the canopy is influenced by the number and size of the leaves. In order to improve fruit quality and productivity, canopy management has been used for years in fruiting trees. One of the main technologies for effectively managing large, unmanageable trees to increase their productivity is management of canopy architecture. Canopy management is the alteration of tree canopies to maximise their capacity for producing fruits of the highest quality. Canopy management is concerned with the growth and upkeep of the structure of fruit crops in relation to their size and form for optimal yield with high-quality fruits. Utilizing the numerous procedures like training, pruning (dormant, summer, and root pruning), branch orientation (bending), scoring, girdling, selection of the right rootstock, use of plant growth regulators, optimal use of fertiliser, deficit irrigation, and use of genetically modified plants with altered architectural features will help maximise the consumption of light for an increase in the yield of quality fruits. Maximizing light interception, enhancing light dispersion within the canopy, and maintaining optimum airflow are the key goals of canopy management. Canopy management increases output, boosts fruit quality, supports cultural traditions, and aids in pest and disease management

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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