Journal list menu

Volume 72, Issue 5 p. 1493-1499
Nutrient Management & Soil & Plant Analysis

Predicting the Incidence of Iron Deficiency Chlorosis from Hydroxylamine-Extractable Iron in Soil

Ana de Santiago

Ana de Santiago

Dpto. Ciencias Agroforestales, EUITA, Universidad de Sevilla, Ctra. Utrera km 1, 41013 Seville, Spain

Search for more papers by this author
Isabel Díaz

Isabel Díaz

Dpto. Ciencias y Recursos Agrícolas y Forestales, Universidad de Córdoba, Edificio C4, Campus de Rabanales, 14071 Córdoba, Spain

Search for more papers by this author
María del Carmen del Campillo

María del Carmen del Campillo

Dpto. Ciencias y Recursos Agrícolas y Forestales, Universidad de Córdoba, Edificio C4, Campus de Rabanales, 14071 Córdoba, Spain

Search for more papers by this author
José Torrent

José Torrent

Dpto. Ciencias y Recursos Agrícolas y Forestales, Universidad de Córdoba, Edificio C4, Campus de Rabanales, 14071 Córdoba, Spain

Search for more papers by this author
Antonio Delgado

Corresponding Author

Antonio Delgado

Dpto. Ciencias Agroforestales, EUITA, Universidad de Sevilla, Ctra. Utrera km 1, 41013 Seville, Spain

Corresponding author ([email protected]).Search for more papers by this author
First published: 01 September 2008
Citations: 10

All rights reserved. No part of this periodical may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher. Permission for printing and for reprinting the material contained herein has been obtained by the publisher.

Abstract

Management of crops sensitive to iron deficiency chlorosis (IDC) includes the use of effective methods to predict the incidence of this nutritional disorder. The objective of this work was to validate the use of hydroxylamine-extractable Fe (Feha) for predicting the incidence of IDC in olive (Olea europaea L.), grapevine (Vitis berlandieri Planch × Vitis rupestris Scheele), chickpea (Cicer arietinum L.), and sunflower (Helianthus annuus L.) typical of the Mediterranean climate of Spain. This test was compared with the “active lime” test and oxalate, citrate–ascorbate, and diethylenetriaminepentaacetic acid extractions. Overall, Feha provided the best estimates of leaf chlorophyll concentration, accounting for 26 to 66% of the variance (linear-plateau regression) depending on the particular crop. The optimum extractant/soil ratio for accurately predicting the chlorophyll content was 100 for olive and 20 for grapevine, chickpea, and sunflower. The concentration of Fe in the hydroxylamine extracts was found to be related to that of poorly crystalline Fe oxides in the soil, which testifies to the ability of this test to accurately predict the incidence of IDC. Proposed critical levels of Feha below which IDC is likely to occur were 60 mg kg−1 for olive, 11 mg kg−1 for grapevine, and 10 mg kg−1 for chickpea and sunflower.