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principal component analysis biplot  (SAS institute)


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    SAS institute principal component analysis biplot
    Principal Component Analysis Biplot, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/principal component analysis biplot/product/SAS institute
    Average 90 stars, based on 1 article reviews
    principal component analysis biplot - by Bioz Stars, 2026-06
    90/100 stars

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    Pearson 's correlation between recorded parameters under control conditions. * Significant at P <0.05 and ** significant at P <0.01. C i / C a – the ratio of intercellular to ambient CO 2 concentration; E – transpiration rate; F v /F m – maximal quantum efficiency of PSII; g H2O – water vapor conductance; MDA – malondialdehyde; NPQ – nonphotochemical quenching; P N – net assimilation rate; TAOC – total antioxidant capacity; VPD – air to leaf vapor pressure deficit; Y NPQ – quantum yield of NPQ-related energy loss; Ф PSII – quantum yield of photosynthetic electron transport.

    Journal: Photosynthetica

    Article Title: Biochemical, gas exchange, and chlorophyll fluorescence analysis of maize genotypes under drought stress reveals important insights into their interaction and homeostasis

    doi: 10.32615/ps.2022.024

    Figure Lengend Snippet: Pearson 's correlation between recorded parameters under control conditions. * Significant at P <0.05 and ** significant at P <0.01. C i / C a – the ratio of intercellular to ambient CO 2 concentration; E – transpiration rate; F v /F m – maximal quantum efficiency of PSII; g H2O – water vapor conductance; MDA – malondialdehyde; NPQ – nonphotochemical quenching; P N – net assimilation rate; TAOC – total antioxidant capacity; VPD – air to leaf vapor pressure deficit; Y NPQ – quantum yield of NPQ-related energy loss; Ф PSII – quantum yield of photosynthetic electron transport.

    Article Snippet: Pearson 's correlation (two-tailed) and principal component analysis (PCA) biplot analysis for both genotypes and recorded parameters was performed in Origin Pro 2022 ( https://www.originlab.com/ ).

    Techniques: Control, Concentration Assay, Multiple Displacement Amplification

    Pearson 's correlation between recorded parameters under drought. * Significant at P <0.05 and ** significant at P <0.01. C i / C a – the ratio of intercellular to ambient CO 2 concentration; E – transpiration rate; F v /F m – maximal quantum efficiency of PSII; g H2O – water vapor conductance; MDA – malondialdehyde; NPQ – nonphotochemical quenching; P N – net assimilation rate; TAOC – total antioxidant capacity; VPD – air to leaf vapor pressure deficit; Y NPQ – quantum yield of NPQ-related energy loss; Ф PSII – quantum yield of photosynthetic electron transport.

    Journal: Photosynthetica

    Article Title: Biochemical, gas exchange, and chlorophyll fluorescence analysis of maize genotypes under drought stress reveals important insights into their interaction and homeostasis

    doi: 10.32615/ps.2022.024

    Figure Lengend Snippet: Pearson 's correlation between recorded parameters under drought. * Significant at P <0.05 and ** significant at P <0.01. C i / C a – the ratio of intercellular to ambient CO 2 concentration; E – transpiration rate; F v /F m – maximal quantum efficiency of PSII; g H2O – water vapor conductance; MDA – malondialdehyde; NPQ – nonphotochemical quenching; P N – net assimilation rate; TAOC – total antioxidant capacity; VPD – air to leaf vapor pressure deficit; Y NPQ – quantum yield of NPQ-related energy loss; Ф PSII – quantum yield of photosynthetic electron transport.

    Article Snippet: Pearson 's correlation (two-tailed) and principal component analysis (PCA) biplot analysis for both genotypes and recorded parameters was performed in Origin Pro 2022 ( https://www.originlab.com/ ).

    Techniques: Concentration Assay, Multiple Displacement Amplification

    Principal component analysis biplot for the influence of meteorological data and pollutants concentration before and during COVID-19 lockdown in a) Makkah, b) Ha’il, c) Jeddah, d) Jazan, e) Tabuk, f) Al Madinah, g) Al Qasim, h) Riyadh and i) Haql. L = Lockdown, PL = Before lockdown.

    Journal: Saudi Journal of Biological Sciences

    Article Title: Impact of novel coronavirus disease (COVID-19) lockdown on ambient air quality of Saudi Arabia

    doi: 10.1016/j.sjbs.2020.11.065

    Figure Lengend Snippet: Principal component analysis biplot for the influence of meteorological data and pollutants concentration before and during COVID-19 lockdown in a) Makkah, b) Ha’il, c) Jeddah, d) Jazan, e) Tabuk, f) Al Madinah, g) Al Qasim, h) Riyadh and i) Haql. L = Lockdown, PL = Before lockdown.

    Article Snippet: Principal component analysis biplot for the influence of meteorological data and pollutants concentration before and during COVID-19 lockdown in a) Makkah, b) Ha’il, c) Jeddah, d) Jazan, e) Tabuk, f) Al Madinah, g) Al Qasim, h) Riyadh and i) Haql.

    Techniques: Concentration Assay