eprintid: 11247
rev_number: 11
eprint_status: archive
userid: 1305
dir: disk0/00/01/12/47
datestamp: 2019-08-19 08:52:51
lastmod: 2019-08-19 08:52:51
status_changed: 2019-08-19 08:52:51
type: article
metadata_visibility: show
contact_email: Library-ICRISAT@CGIAR.ORG
creators_name: Mel, V C
creators_name: Bado, V B
creators_name: Ndiaye, S
creators_name: Djaman, K
creators_name: Nati, D A B
creators_name: Manneh, B
creators_name: Futakuchi, K
creators_gender: Female
affiliation: Sustainable Productivity Enhancement Program, Africa Rice Center (AfricaRice) (Saint-Louis)
affiliation: Ecole Doctorale Développement Durable et Société, Université de Thiès (UT) (Thies)
affiliation: ICRISAT (Niamey)
affiliation: Department of Plant and Environmental Sciences, New Mexico State University, Agricultural Science Center (Farmington)
affiliation: Production végétale, Institut de l’environnement et de la recherché agricole (INERA) (Ouagadougou)
affiliation: Genetic Diversity and Improvement Program, Africa Rice Center (AfricaRice) (Saint Louis)
affiliation: Sustainable Productivity Enhancement Program, Africa Rice Center (AfricaRice) (Bouake)
country: Senegal
country: Niger
country: US
country: Burkina Faso
country: Côte ’Ivoire
title: Predicting Rice Yield Under Salinity Stress Using K/Na Ratio Variable in Plant Tissue
ispublished: pub
subjects: S2021
subjects: S40006
subjects: s2.11
divisions: CRPS1
crps: crp1.13
full_text_status: restricted
keywords: Model, nutritional imbalance, Oryza sativa, yield reduction, rice yield, salinity stress, plant tissue, soil
note: We want to acknowledge Madieye Top a field observer at AfricaRice Saint-Louis, for his great contribution in field operations and data collection. Great thank to Djibril Sagna, Maguette Diouf and Anna Mbengue, the lab technicians at AfricaRice Saint-Louis, for their contribution in plant sampling and analyses in laboratory.
abstract: 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.
date: 2019
date_type: published
publication: Communications in Soil Science and Plant Analysis (TSI)
volume: 50
number: 11
publisher: Taylor & Francis
pagerange: 1321-1329
id_number: 10.1080/00103624.2019.1614605
refereed: TRUE
issn: 0010-3624
official_url: https://doi.org/10.1080/00103624.2019.1614605
related_url_url: https://scholar.google.co.in/scholar?hl=en&as_sdt=0%2C5&q=Predicting+Rice+Yield+Under+Salinity+Stress+Using+K%2FNa+Ratio+Variable+in+Plant+Tissue&btnG=
related_url_type: pub
citation:   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     
document_url: http://oar.icrisat.org/11247/1/Predicting%20rice%20yield%20under%20salinity%20stress.pdf