分段直線迴歸模式與傳統迴歸法在評估作物對環境之非線性反應的比較研究
Other Title
Comparative Study of a Piecewise Linear Regression Model with the Conventional Regression Model for Assessing Nonlinear Environmental Responses of Crops
Journal
中華農業研究
Journal Volume
47
Journal Issue
1
Pages
12-27
Date Issued
1998-03-02
Date
1998-03-02
Author(s)
呂秀英
Hsiu-Ying Lu
Abstract
一個高適應性的作物品種，應該要對惡劣環境鈍感而對有利環境敏感，亦即這種對環境優劣表現互異的理想品種，事實上對環境呈非線性反應。傳統上常用直線迴歸分析來評價基因型的種定性，是假設基因型對所有環境具直線反應，當參試品種族群中存在有對環境優劣表現差異的基因型時，將會產生遮蓋效應而無法選出真正理想的品種，甚至將不穩定的品種誤認為是穩定。
A high adaptable crop variety would be the one with relatively low sensitivity in the poor environments and high sensitivity in the favorable environments. That is, an ideal genotype should have nonlinear responses to environment. The conventional linear regression for stability analysis cannot detect such varieties, and an unstable variety might be wrongly regarded as stable, because the computation of the linear regression over all the environments has the masking effect on the detection of ideal genotypes, if they exist in the population.
Subjects
穩定性
分段直線迴歸
非線性反應
模擬試驗
假設模式
SAS程式
Stability
Piecewise linear regression
Nonlinear responses
Simulation experiment
Hypothetical model
SAS program
Publisher
農業試驗所
Type
journal article
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