Yield and Water Productivity Responses to Irrigation Cut-off Strategies after Fruit Set Using Stem Water Potential Thresholds in a Super-High Density Olive Orchard-Reference-Cited by-同舟云学术

Yield and Water Productivity Responses to Irrigation Cut-off Strategies after Fruit Set Using Stem Water Potential Thresholds in a Super-High Density Olive Orchard

Published:2017-07-21 Issue: Volume:8 Page:
ISSN:1664-462X
Container-title:Frontiers in Plant Science
language:
Short-container-title:Front. Plant Sci.

Author:

Ahumada-Orellana Luis E.,Ortega-Farías Samuel,Searles Peter S.,Retamales Jorge B.

Publisher

Frontiers Media SA

Subject

Plant Science

Reference58 articles.

1. Responses of several soil and plant indicators to post-harvest regulated deficit irrigation in olive trees and their potential for irrigation scheduling.;Agüero;Agric. Water Manag.,2016

2. Regulated deficit irrigation in olive trees (Olea europaea L. cv. Arbequina) for oil production.;Alegre;Acta Hortic.,2002

3. Inhibition of photosynthesis in olive trees (Olea europaea L.) during water stress and rewatering.;Angelopoulos;J. Exp. Bot.,1996

4. Whole-tree water balance and indicators for short-term drought stress in non-bearing “Barnea” olives.;Ben-Gal;Agric. Water Manag.,2010

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