Record Details

Predicting Rice Yield Under Salinity Stress Using K/Na Ratio Variable in Plant Tissue

OAR@ICRISAT

View Archive Info
 
 
Field Value
 
Relation http://oar.icrisat.org/11247/
https://doi.org/10.1080/00103624.2019.1614605
10.1080/00103624.2019.1614605
 
Title Predicting Rice Yield Under Salinity Stress Using K/Na Ratio Variable in Plant Tissue
 
Creator Mel, V C
Bado, V B
Ndiaye, S
Djaman, K
Nati, D A B
Manneh, B
Futakuchi, K
 
Subject Rice
Soil
Soil Science
 
Description Estimation of yield reduction in crop caused by the salinity stress is mostly based on variations of soil electrical conductivity and the severity of water stress. Crop response curves to salinity were developed without considering ion toxicity and nutritional imbalance in the plant. The objective of this study was to explore the possibility of using the ratio of the concentration of potassium by sodium in rice leaf (leaf-K/Na) to predict yield under the salinity stress. The rice (Oryza sativa L.) yield under fresh and saline condition and the leaf-K/Na related database was created. Data were collected from consecutive three seasons of a field experiment in the Africa Rice Center experimental farm in Senegal (16° 11ʹ N, 16° 15ʹW). We studied the relationship between the relative yield (Yr), a ratio of yield under the salinity stress to the potential yield and the leaf-K/Na (x). Furthermore, we did regression analyses and F-test to determine the best fitting function. Results indicate that the exponential function [i.e. Yr = 100 exp (-b x)] was the best fitting model with the lowest root mean square error (9.683) and the highest R2 value (0.90). Example applications on independent data from published papers showed relatively good predictions, suggesting that the model can be used to predict rice yield in saline soils.
 
Publisher Taylor & Francis
 
Date 2019
 
Type Article
PeerReviewed
 
Format application/pdf
 
Language en
 
Identifier http://oar.icrisat.org/11247/1/Predicting%20rice%20yield%20under%20salinity%20stress.pdf
Mel, V C and Bado, V B and Ndiaye, S and Djaman, K and Nati, D A B and Manneh, B and Futakuchi, K (2019) Predicting Rice Yield Under Salinity Stress Using K/Na Ratio Variable in Plant Tissue. Communications in Soil Science and Plant Analysis (TSI), 50 (11). pp. 1321-1329. ISSN 0010-3624