Application of Principal Component Analysis in Assessment of Relation Between the Parameters of Technological Quality of Wheat Grains Treated with Inert Dusts Against Rice Weevil (Sitophilus oryzae L.)

Quality parameters of several wheat grain lots (low vitreous and high vitreous grains,non-infested and infested with rice weevils, (Sitophilus oryzae L.) treated with inert dusts(natural zeolite, two diatomaceous earths originating from Serbia and a commercial productProtect-It®) were investigated....

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Main Authors: Marija Bodroža-Solarov, Petar Kljajić, Goran Andrić, Bojana Filipčev, Olivera Šimurina, Marijana Pražić Golić, Milan Adamović
Format: Article
Language:English
Published: Institute of Pesticides and Environmental Protection 2011-01-01
Series:Pesticidi i Fitomedicina
Subjects:
Online Access:http://www.pesting.org.rs/download.php/documents/26-4/26-4%20385-391.pdf
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author Marija Bodroža-Solarov
Petar Kljajić
Goran Andrić
Bojana Filipčev
Olivera Šimurina
Marijana Pražić Golić
Milan Adamović
author_facet Marija Bodroža-Solarov
Petar Kljajić
Goran Andrić
Bojana Filipčev
Olivera Šimurina
Marijana Pražić Golić
Milan Adamović
author_sort Marija Bodroža-Solarov
collection DOAJ
description Quality parameters of several wheat grain lots (low vitreous and high vitreous grains,non-infested and infested with rice weevils, (Sitophilus oryzae L.) treated with inert dusts(natural zeolite, two diatomaceous earths originating from Serbia and a commercial productProtect-It®) were investigated. Principal component analysis (PCA) was used to investigatethe classification of treated grain lots and to assess how attributes of technological qualitycontribute to this classification. This research showed that vitreousness (0.95) and test weight(0.93) contributed most to the first principal component whereas extensigraph area (-0.76)contributed to the second component. The determined accountability of the total variabilityby the first component was around 55%, while with the second it was 18%, which meansthat those two dimensions together account for around 70% of total variability of the observedset of variables. Principal component analysis (PCA) of data set was able to distinguishamong the various treatments of wheat lots. It was revealed that inert dust treatments producedifferent effects depending on the degree of endosperm vitreousness.
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spelling doaj.art-3b8c440d07f1432995ec7f4bd4984b8b2022-12-21T19:47:51ZengInstitute of Pesticides and Environmental ProtectionPesticidi i Fitomedicina1820-39492011-01-01264385390Application of Principal Component Analysis in Assessment of Relation Between the Parameters of Technological Quality of Wheat Grains Treated with Inert Dusts Against Rice Weevil (Sitophilus oryzae L.)Marija Bodroža-SolarovPetar KljajićGoran AndrićBojana FilipčevOlivera ŠimurinaMarijana Pražić GolićMilan AdamovićQuality parameters of several wheat grain lots (low vitreous and high vitreous grains,non-infested and infested with rice weevils, (Sitophilus oryzae L.) treated with inert dusts(natural zeolite, two diatomaceous earths originating from Serbia and a commercial productProtect-It®) were investigated. Principal component analysis (PCA) was used to investigatethe classification of treated grain lots and to assess how attributes of technological qualitycontribute to this classification. This research showed that vitreousness (0.95) and test weight(0.93) contributed most to the first principal component whereas extensigraph area (-0.76)contributed to the second component. The determined accountability of the total variabilityby the first component was around 55%, while with the second it was 18%, which meansthat those two dimensions together account for around 70% of total variability of the observedset of variables. Principal component analysis (PCA) of data set was able to distinguishamong the various treatments of wheat lots. It was revealed that inert dust treatments producedifferent effects depending on the degree of endosperm vitreousness.http://www.pesting.org.rs/download.php/documents/26-4/26-4%20385-391.pdfPCAInert dustsLow and high vitreous wheatQuality parameters
spellingShingle Marija Bodroža-Solarov
Petar Kljajić
Goran Andrić
Bojana Filipčev
Olivera Šimurina
Marijana Pražić Golić
Milan Adamović
Application of Principal Component Analysis in Assessment of Relation Between the Parameters of Technological Quality of Wheat Grains Treated with Inert Dusts Against Rice Weevil (Sitophilus oryzae L.)
Pesticidi i Fitomedicina
PCA
Inert dusts
Low and high vitreous wheat
Quality parameters
title Application of Principal Component Analysis in Assessment of Relation Between the Parameters of Technological Quality of Wheat Grains Treated with Inert Dusts Against Rice Weevil (Sitophilus oryzae L.)
title_full Application of Principal Component Analysis in Assessment of Relation Between the Parameters of Technological Quality of Wheat Grains Treated with Inert Dusts Against Rice Weevil (Sitophilus oryzae L.)
title_fullStr Application of Principal Component Analysis in Assessment of Relation Between the Parameters of Technological Quality of Wheat Grains Treated with Inert Dusts Against Rice Weevil (Sitophilus oryzae L.)
title_full_unstemmed Application of Principal Component Analysis in Assessment of Relation Between the Parameters of Technological Quality of Wheat Grains Treated with Inert Dusts Against Rice Weevil (Sitophilus oryzae L.)
title_short Application of Principal Component Analysis in Assessment of Relation Between the Parameters of Technological Quality of Wheat Grains Treated with Inert Dusts Against Rice Weevil (Sitophilus oryzae L.)
title_sort application of principal component analysis in assessment of relation between the parameters of technological quality of wheat grains treated with inert dusts against rice weevil sitophilus oryzae l
topic PCA
Inert dusts
Low and high vitreous wheat
Quality parameters
url http://www.pesting.org.rs/download.php/documents/26-4/26-4%20385-391.pdf
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