Este archivo ha sido creado el 09-01-2023 por Laura Casanova Lerma
 

GENERAL INFORMATION
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1. Dataset title: Dataset_Mechanical harvesting at dawn in a super-high-density table olive orchard. Effect on the quality of fruits 



2. Authorship:

	Name: Morales-Sillero, Ana
	Institution: Universidad de Sevilla
	Email: amorales@us.es
	ORCID: 0000-0002-8436-3620  

	Name: Jiménez, María Rocío	
	Institution: Universidad de Sevilla
	Email: rjg@us.es
	ORCID: 0000-0002-9020-2065

	Name: Suárez, María Paz
	Institution: Universidad de Sevilla
	Email: maripaz@us.es
	ORCID: 0000-0003-2996-0681

	Name: Rallo, Pilar
	Institution: Universidad de Sevilla
	Email: prallo@us.es
	ORCID: 0000-0001-5673-9136

	Name: Casanova, Laura
	Institution: Universidad de Sevilla
	Email: laucaler@us.es
	ORCID: 0000-0003-2729-4793

DESCRIPTION
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1. Dataset language: english


2. Abstract: The olive tree is well adapted to the Mediterranean climate, however, the current increase in temperature as a consequence of the global warming affects the phenological stages and can accelerate the ripening of the fruits, moving the harvesting to periods that are less favorable for quality production. In this work, the impact of harvesting under low environmental temperature conditions (harvesting at dawn when the lowest temperature of the day occurred) on olive quality is explored, with particular emphasis on bruising. The study was carried out in two consecutive years (2015-2016) and used fruit from two cultivars with different tolerance to bruising (Manzanilla de Sevilla and Manzanilla Cacereña), growing in SHD conditions.


3. Keywords: Olea europaea L., super-high-density orchards, bruising, internal damage, respiration rate and ethylene production. 


4. Date of data collection (fecha única o rango de fechas): 01-09-2017


5. Publication Date: 09-01-2023


6. Grant information:

	Grant Agency [Organismo financiador]: Organización Interprofesional de la Aceituna de Mesa, Interaceituna 
	Grant Number [Código del proyecto]: PRJ201502588


7. Geographical location/s of data collection: Campo Maior, Portugal



ACCESS INFORMATION
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1. Creative Commons License of the dataset: CC BY-NC-ND 
 




3. Related publication: Morales-Sillero, A, Jiménez, M.R, Suárez, M.P., Rallo, P., Casanova, L. Mechanical harvesting at dawn in a super-high-density table olive orchard. Effect on the quality of fruits. DOI 10.1002/jsfa.12384




VERSIONING AND PROVENANCE
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2. Were data derived from another source?: No





METHODOLOGICAL INFORMATION
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3. Software or instruments needed to interpret the data: StatGraphics Centurion XVIII

4. Information about instruments, calibration and standards: G100 portable gas analyser (Geotechnical Instrument Ltd. Leamington Spa, UK) and an ICA portable ethylene analyser (International Controlled Atmosphere Ltd., Paddock Wood, UK); Minolta CM-700d (Konica Minolta Inc., Tokyo, Japan) spectrophotometer; Nikon Digital camera (Sight DS Ri 1) connected to a Nikon binocular loupe (SMZ 1270, Tokyo, Japan); software Nikon NIS ELEMENTS AR 3.2. 




FILE OVERVIEW 
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1. Explain the file naming conversion, si es aplicable: MS: Manzanilla de Sevilla; MC: Manzanilla Cacereña.



2. File list:

	File name: Dataset_Mechanical harvesting at dawn in a super-high-density table olive orchard. Effect on the quality of fruits 
	Description: numerical data of the research results    





4. File format: Excel