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Characterization of Environments in Long‐Term Multi‐Site Trials in Asparagus, through Yield of Standard Varieties and Use of Environmental Covariates
Author(s) -
Rameau C.,
Denis J. B.
Publication year - 1992
Publication title -
plant breeding
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.583
H-Index - 71
eISSN - 1439-0523
pISSN - 0179-9541
DOI - 10.1111/j.1439-0523.1992.tb00171.x
Subject(s) - asparagus , covariate , biology , gene–environment interaction , standard error , liliaceae , statistics , yield (engineering) , missing data , interaction , genotype , mathematics , horticulture , agronomy , botany , biochemistry , materials science , gene , metallurgy
In genotype‐environment interaction studies, in long‐term multi‐site trials, two main problems arise: missing values, and assessment of environments which consist of diverse locations and years. In this paper, a factorial regression model on asparagus data has been used to overcome these difficulties. These data consist in yields of seven asparagus standard varieties observed in 35 combinations of 4 locations × 9 years with missing values. Two kinds of covariates were kept in the model: (i) a biological one, e j , which is the main environmental effect estimated with the additive model on a chosen set of genotypes (standard varieties); and (ii) three external environment covariates: the latitude of the location, the type of production (green or white asparagus), and the mean temperature during the five months preceding the beginning of the harvest. These results suggest that a significant part of genotype × environment interaction in asparagus is due to the different effects of low temperature during the dormant period on the physiology of the sub‐ground crown, depending on the genotype.