Utilizza questo identificativo per citare o creare un link a questo documento:
http://hdl.handle.net/2067/49838
Titolo: | A quantitative multivariate methodology for unsupervised class identification in pistachio (Pistacia vera L.) plant leaves size | Autori: | Antonucci, Francesca Manganiello, Rossella Costa, Corrado Irione, Virgilio Ortenzi, Luciano Palombi, Maria A. |
Rivista: | SPANISH JOURNAL OF AGRICULTURAL RESEARCH | Data pubblicazione: | 2020 | Abstract: | Aim of study: Genetic diversity of pistachio, can be evaluated by using different descriptors, as adopted in international certification systems. Mainly the descriptors are morphological traits as leaf, which represents an important organ for its sensibility to growth conditions during the expansion phase. This study adopted a rapid and quantitative non-hierarchic clustering classification (k-means), to extract size classes basing on the contemporary combination of different morphological traits (i.e., leaf stalk length, terminal leaf length, terminal leaf width and terminal leaf ratio) of a varietal collection composed by 21 pistachio cultivars. |
URI: | http://hdl.handle.net/2067/49838 | ISSN: | 2171-9292 | DOI: | 10.5424/sjar/2020184-16904 | Diritti: | Attribution 4.0 International |
È visualizzato nelle collezioni: | A1. Articolo in rivista |
File in questo documento:
File | Descrizione | Dimensioni | Formato | |
---|---|---|---|---|
16904-Article Text-68644-1-10-20210209.pdf | 636.11 kB | Adobe PDF | Visualizza/apri |
SCOPUSTM
Citations
3
Last Week
1
1
Last month
1
1
controllato il 17-apr-2024
Page view(s)
21
Last Week
0
0
Last month
1
1
controllato il 20-apr-2024
Download(s)
92
controllato il 20-apr-2024
Google ScholarTM
Check
Altmetric
Questo documento è distribuito in accordo con Licenza Creative Commons