Skip to content
VuFind
    • English
    • Español
Advanced
  • A generalized multiple regress...
  • Cite this
  • Text this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Permanent link
Export Ready — 
Cover Image
QR Code

A generalized multiple regression model to predict cadmium uptake in rice grain

Bibliographic Details
Main Authors: Simmons, Robert W., Noble, A.D., Pongsakul, P.
Format: Conference Paper
Language:Inglés
Published: 2005
Subjects:
rice
cadmium
irrigated farming
models
Online Access:https://hdl.handle.net/10568/38692
  • Description
  • Similar Items
  • Staff View
Description
Description not available.

Similar Items

  • Cadmium-hazard mapping using a general linear regression model (Irr-Cad) for rapid risk assessment
    by: Simmons, Robert W., et al.
    Published: (2009)
  • The relative exclusion of zinc and iron from rice grain in relation to rice grain cadmium as compared to soybean: Implications for human health
    by: Simmons, Robert W., et al.
    Published: (2003)
  • Preliminary stepwise multiple linear regression method to predict cadmium and zinc uptake in soybean.
    by: Simmons, Robert W., et al.
    Published: (2004)
  • Analysis of field-moist Cd contaminated paddy soils during rice grain fill allows reliable prediction of grain Cd levels
    by: Simmons, Robert W., et al.
    Published: (2008)
  • Metallothionein induction is not involved in cadmium accumulation in the duodenum of mice and rats fed diets containing high-cadmium rice or sunflower kernels and a marginal supply of zinc, iron, and calcium
    by: Reeves, P.G., et al.
    Published: (2005)

© Copyright 2026, Todos los Derechos Reservados UNA