Published on 15 May 2024

Dataset explaining the comparative seasonal crop load and harvest quality of guava upon pruning strategies

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Gomasta, Joydeb

Description

The dataset explains the details on how pruning techniques significantly affect the seasonal variations on fruit availability and edible quality of guava under fluctuating sub-tropical weather conditions. The present pruning data also direct a way of enhancing lean season (off-season) harvest without sacrificing the main season yield and fruit quality. Over two consecutive years (2019-2020 and 2020-2021), the pruning treatments were assigned in triplicates where the same plants received the same treatments during observation period starting with spring pruning. Data on crop load like number of fruits and fruit yield plant-1 and fruit biochemical traits namely total soluble solids, titratable acidity, total sugars, vitamin C and fruit specific gravity were recorded. To assess the seasonal variations, data collection was performed continuously and grouped as rainy and non-rainy seasons. Irrespective of pruning techniques, rainy season had superior yield, whereas non-rainy harvests retained utmost fruit quality. Considering pruning time, plants reserved maximum harvestable fruits during rainy period under march pruning. Moreover, total soluble solids, total sugars, vitamin C and fruit specific gravity examined the best at non-rainy harvests under autumn pruning. Alongside, wet period exhibited superiority for yield over dry period when plants were pruned at 0 cm to 30 cm levels, but 45 cm pruning level showed differential results.

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Metrics

Dataset Index

0.7

FAIR Score

65%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Mendeley Data

Assigned Domain

Subfield

Plant Science

Field

Agricultural and Biological Sciences

Domain

Life Sciences

Confidence Score

80%

Source

Open Alex

Keywords

Agricultural ScienceFruit FarmingHorticultural TechniquesHorticultural ProductionFOS: Agriculture, forestry and fisheries

Normalization Factors

FT

30.77

CTw

1.00

MTw

1.00