Pregled bibliografske jedinice broj: 135416
Additive main effects and multiplicative interaction model – multivariate approach to the analysis of genotype by environment interaction
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 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 135416 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Additive main effects and multiplicative interaction model – multivariate approach to the analysis of genotype by environment interaction
Autori
Pecina, Marija ; Gunjača, Jerko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 21st International Conference on Information Technology Interfaces
/ Kalpić, Damir ; Hljuz Dobrić, Vesna - Pula, 1999, 157-161
Skup
21st International Conference on Information Technology Interfaces
Mjesto i datum
Pula, Hrvatska, 15.06.1999. - 18.06.1999
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
plant breeding; GEI; accuracy; AMMI model; biplot; multivariate; SAS Institute; Croatia
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Poljoprivreda (agronomija)
