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Additive main effects and multiplicative interaction model – multivariate approach to the analysis of genotype by environment interaction (CROSBI ID 494053)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Pecina, Marija ; Gunjača, Jerko Additive main effects and multiplicative interaction model – multivariate approach to the analysis of genotype by environment interaction // Proceedings of the 21st International Conference on Information Technology Interfaces / Kalpić, Damir ; Hljuz Dobrić, Vesna (ur.). Pula, 1999. str. 157-161-x

Podaci o odgovornosti

Pecina, Marija ; Gunjača, Jerko

engleski

Additive main effects and multiplicative interaction model – multivariate approach to the analysis of genotype by environment interaction

Genotype by environment interaction (GEI) is a topic of continuous interest for plant breeders. The logical part of the plant breeding process is the construction of genotype (plant variety) by environment (years, locations or both) two-way table with the variables important for variety evaluation. The AMMI model is a multivariate approach to the analysis and especially to the interpretation of GEI using biplots. We present a model on the sugar beet data set from the official Croatian variety trials for acceptance of new varieties.

plant breeding; GEI; accuracy; AMMI model; biplot; multivariate; SAS Institute; Croatia

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Podaci o prilogu

157-161-x.

1999.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of the 21st International Conference on Information Technology Interfaces

Kalpić, Damir ; Hljuz Dobrić, Vesna

Pula:

Podaci o skupu

21st International Conference on Information Technology Interfaces

predavanje

15.07.1999-18.07.1999

Pula, Hrvatska

Povezanost rada

Poljoprivreda (agronomija)