Effectiveness of spatial analysis in Cryptomeria japonica D. Don (sugi) forward selection revealed by validation using progeny and clonal tests

Key message Accurate evaluation of genetic performances of trees is crucial in order to improve the efficiency of forest tree breeding. We revealed that spatial analysis is effective for predicting individual tree breeding values at the forward selection stage of Cryptomeria japonica D. Don (sugi) b...

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Veröffentlicht in:	Annals of forest science. 2018-12, Vol.75 (4), p.1-10, Article 96
Hauptverfasser:	Fukatsu, Eitaro, Hiraoka, Yuichiro, Kuramoto, Noritsugu, Yamada, Hiroo, Takahashi, Makoto
Format:	Artikel
Sprache:	eng
Schlagworte:	Autocorrelation Biomedical and Life Sciences Breeding Correlation coefficients Cryptomeria japonica Environment Environmental effects Evaluation Forestry Forestry Management Life Sciences Microenvironments Offspring Population (statistical) Predictions Progeny Research Paper Ruggedness Spatial analysis Test procedures Tree Biology Trees Wood Science & Technology
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