About Us | Help Videos | Contact Us | Subscriptions
 

Abstract

 

This article in AJ

  1. Vol. 82 No. 6, p. 1149-1153
     
    Received: July 19, 1989


    * Corresponding author(s):
 View
 Download
 Alerts
 Permissions
Request Permissions
 Share

doi:10.2134/agronj1990.00021962008200060025x

Quantitative Method for Analysis of Grain Yield in Rice

  1. Shinichi Takami ,
  2. Tohru Kobata and
  3. C. H. M. Van Bavel
  1. H okuriku Natl. Agric. Exp. Stn., Inada, Joetsu 943-01, Japan
    S himane Univ., College of Agric., Nishikawazu-chou, Matsue 690, Japan
    R oute 1, Box 923-9, Center Point, TX 78010

Abstract

Abstract

Cereal crop yields can be substantially reduced when drought occurs during grain filling. A mathematical expression is proposed to describe the effects of drought during the grain-filling stage of rice (Oryza sativa L.). The expression predicts the grain yield as a function of the total dry matter production during the grain filling with two parameters: potential yield, and amount of mobilizable reserves at anthesis, both to be determined experimentally. The proposed relation states that grain yield equals the potential yield when the total assimilate supply (the amount of mobilizable reserves at anthesis, plus the total dry matter produced during grain filling) is equal to, or greater than the potential yield. Below this level of assimilate supply, grain yield decreases in proportion to the total dry matter produced during grain filling. Drought is assumed to reduce the grain yield through dry matter production alone, without any effects on the potential yield and the amount of mobilizable reserves. The model was tested in an experiment in which the yield response of two different cultivars to six levels of water availability was measured. The theoretical generalization fits the experimental results. The model is useful in predicting the yield response of rice when the crop encounters drought stress during grain filling, provided the two parameters cited above can be measured or estimated at anthesis. It also could serve as a submodel for yield prediction in a mechanistic crop production model.

Supported in part by the Toyota Foundation (Grant 81-1-246).

  Please view the pdf by using the Full Text (PDF) link under 'View' to the left.

Copyright © .