Patterns of additive genotype-by-environment interaction in tree height of Norway spruce in southern and central Sweden

Sammanfattning

Genotype-by-environment (G x E) interaction for tree height measured at ages 7 to 13 was investigated in 20 large open-pollinated progeny trials for Norway spruce (Picea abies (L.) H. Karst.) in southern and central Sweden. Factor analytic method using spatially adjusted data and a reduced animal model was used to explore the pattern of G x E interaction. Extended factor analyses captured 93.0% of additive G x E interaction variances using three factors. The mean daily temperature less than 3.2 degrees C in May and June explained 27.8% G x E interaction, and it was moderately correlated with the first factor, indicating that spring or autumn frost weather condition could be a main driver for G x E interaction in Norway spruce. Cluster analysis has divided 20 trials into either 6 clusters or 3 clusters. Both sets of clusters reflected the geography of the trials (climates) and the genetic connectedness among testing series, indicating that more trials with better connectedness are required to examine whether current delineation of breeding or seed zones is optimal. Parental stability using latent regression could be used to locate best parents that have the highest breeding values and are highly stable across trials.

Nyckelord

Picea abies; Factor analysis; MET; Cluster analysis; G x E interaction

Publicerad i

Tree Genetics and Genomes
2017, volym: 13, nummer: 1, artikelnummer: 25
Utgivare: SPRINGER HEIDELBERG

SLU författare

• Chen, Zhiqiang

  • Institutionen för skoglig genetik och växtfysiologi, Sveriges lantbruksuniversitet
    

• Karlsson, Bo

  • Skogforsk

• Wu, Harry

  • Institutionen för skoglig genetik och växtfysiologi, Sveriges lantbruksuniversitet
    

UKÄ forskningsämne

Skogsvetenskap

Publikationens identifierare

• DOI: https://doi.org/10.1007/s11295-017-1103-6

Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/88758