Statistical analysis of intercropping data using a correlated error structure*
作者:
M. Singh,
B. Gilliver,
期刊:
Journal of Applied Statistics
(Taylor Available online 1988)
卷期:
Volume 15,
issue 1
页码: 53-61
ISSN:0266-4763
年代: 1988
DOI:10.1080/02664768800000005
出版商: Carfax Publishing Company
数据来源: Taylor
摘要:
Intercropping is an important farming system, especially in tropical regions. A statistical model with competition coefficients and correlated error structure is suggested for the analysis of data from intercropping experiments involving two crop species. Data from an intercropping experiment with pearl millet and sorghum genotypes are used to illustrate the technique.
点击下载:
PDF (459KB)
返 回