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Tytuł:
Long-term impact of selection cutting management on frequency of stem deformity in mixed beech forests of northern Iran
Autorzy:
Tavankar, Farzam
Nikooy, Mehrdad
Lo Monaco, Angela
Picchio, Rodolfo
Powiązania:
https://bibliotekanauki.pl/articles/2010794.pdf
Data publikacji:
2021
Wydawca:
Sieć Badawcza Łukasiewicz - Instytut Technologii Drewna
Tematy:
stem form
stem deformity indices
log defects
mixed beech stands
silviculture effect
statistical quality control
SQC
Opis:
The aim of this study was to evaluate the long-term effect of selection cutting management on the stem quality of the trees remaining in the forest. For this purpose, three parcels managed for three decades by selection cutting were selected as managed stands (MP), and two protected parcels without tree felling as control stands (PP). First, the frequency of deformed stems in each parcel was determined for a circular 1000 m2 area of each plot by systematic sampling of 100 m × 100 m grid sections, and then a stem deformity index was estimated for each of the deformed stems. The results showed that the frequency of stem deformity in MP (6.5%) was significantly lower than in PP (20.7%) (p < 0.01). In addition, the frequency of all types of stem deformities in MP was significantly lower than in PP. Furthermore, selection cutting management reduced the indices of twisting, decay, conicity, forking, and ellipticity by 58.4%, 53.9%, 34.7%, 8.4% and 6.8%, respectively. The results for the correlation between frequency of stem deformity and tree diameter at breast height (dbh) showed that the curves followed a parabolic shape in both MP (r = 0.83) and PP (r = 0.80), where the frequency of deformed stems decreased with increasing dbh (up to 75 cm in MP, and up to 65 cm in PP), and then increased with larger dbh. Selection cutting management, regardless of tree species, improved the stem form. Decay accounted for a high proportion (24.1%) of the total deformity in MP, mainly due to logging damage. Overall, the results of this study show that selective management has been successful in improving the quality of tree boles in the studied mixed beech stands. Regular and long-term stand monitoring and statistical quality control (SQC) may be a good approach to aligning ecological and economic goals in forest management.
Źródło:
Drewno. Prace Naukowe. Doniesienia. Komunikaty; 2021, 64, 207; 5-26
1644-3985
Pojawia się w:
Drewno. Prace Naukowe. Doniesienia. Komunikaty
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fast GC as a useful tool for authenticity assessment of kiwifruit
Autorzy:
Michalczuk, Paweł
Myszka, Joanna
Lubinska, Martyna
Różańska, Anna
Namieśnik, Jacek
Powiązania:
https://bibliotekanauki.pl/articles/1179549.pdf
Data publikacji:
2017
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
DFA
PCA
SIMCA
SQC
botanical origin
chemometric analysis
electronic nose
food analysis
gas chromatography
kiwifruit
Opis:
Kiwifruit is one of the healthiest fruits due to its high content of biologically active substances and nutrients. The most popular species of Actinidia (kiwifruit) are the Actinidia deliciosa fruits called kiwi and Actinidia chinensis commonly called golden kiwi, while the lesser known species is Actinidia arguta known as mini kiwi. Bioactivities and nutrients of Actinidia are influenced by species and cultivars. It is very important to find a way to distinguish kiwifruit samples from botanical and geographical origin. For this purpose, the possibility of application of electronic nose based on ultra-fast gas chromatography for differentiation three types of kiwifruit was investigated. A set of 18 samples of kiwifruits were analyzed by fast GC e-nose. This device contains two parallel chromatography columns with different polarity connected with two flame ionization detectors (μ-FIDs). Four data analysis methods were used: discriminant function analysis (DFA), principal component analysis (PCA), soft independent modeling of class analogies (SIMCA), and statistical quality control (SQC). Application of e-nose based on fast GC system allows to effective and rapid compare of aroma profiles of three types of kiwifruits. PCA, DFA and SIMCA data analysis method were for visualization the discrimination between groups of kiwifruit species. The SQC method allowed to assess the quality of the samples. All of used chemometric methods allows for full discrimination of all groups of samples. In summary, the use of ultra-fast GC with four statistical methods can be used to discrimination of kiwifruit samples due to their botanical and geographical origins.
Źródło:
World Scientific News; 2017, 75; 6-17
2392-2192
Pojawia się w:
World Scientific News
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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