Optical Properties and Nondestructive Estimation of Anthocyanin Content in Plant Leaves¶

Abstract

Absorption and reflectance spectra of maple (Acer platanoides), cotoneaster (Cotoneaster alaunica), dogwood (Cornus alba) and pelargonium (Pelargonium zonale) leaves with a wide range of pigment content and composition were studied in visible and near‐infrared spectra in order to reveal specific anthocyanin (Anth) spectral features in leaves. Comparing absorption spectra of Anth‐containing and Anth‐free leaves with the same chlorophyll (Chl) content, absorption spectra of Anth in leaves were derived. The main spectral feature of Anth absorption in vivo was a peak around 550 nm; the peak magnitude was closely related to Anth content. A quantitative nondestructive technique was developed to subtract Chl contribution to reflectance in this spectral region and retrieve Anth content from reflectance over a wide range of pigment content and composition. Anth reflectance index in the form ARI = (R550)−1− (R700)−1, where (R550)−1 and (R700)−1 are inverse reflectances at 550 and 700 nm, respectively, allowed an accurate estimation of Anth accumulation, even in minute amounts, in intact senescing and stressed leaves.

Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative transfer modeling

“…Quantifications of C xc and LMA are much more challenging, because they are masked by stronger absorbers like C ab in the visible and EWT in the infrared (Gitelson et al, 2002;Kokaly et al, 2009;Zur et al, 2000). The number of methods to retrieve carotenoid content is limited Chappelle et al, 1992;Féret et al, 2008;Gitelson et al, 2002Gitelson et al, , 2006Sims and Gamon, 2002;Zur et al, 2000) and there are even less focusing on anthocyanins Gitelson et al, 2001Gitelson et al, , 2006Gitelson et al, , 2009Sims and Gamon, 2002). LMA gathers several types of constituents, which show strongly overlapping optical properties.…”

Applying hyperspectral imaging to explore natural plant diversity towards improving salt stress tolerance

“…The modified chlorophyll absorption ratio index (MCARI) and the leaf chlorophyll index (LCI) are very sensitive for estimation of chlorophyll content and distribution in leaves. The modified anthocyanin reflectance index (mARI) is often used for non-destructive measurement of anthocyanin content in plant biomass (Gitelson et al, 2001). Similarly, the carotenoid reflectance index (CRI) is sensitive to estimation of carotenoid pigment content in leaves (Gitelson et al, 2002).…”

Bacteria Rhizobium Effect on Pigments and Starch Content in Pea Plants

“…ϳгìåíòè åêñòðàгóâàëè ç ëèñòê³â ðîñëèí гîðîõó 96 % åòàíîëîì òà ñïåêòðî-фîòîìåòðè÷íî âèçíà÷àëè êîíöåíòðàö³þ õëîðîф³ëó a, õëîðîф³ëó b, êàðîòèíî¿ä³â òà àíòîö³àí³â ç âèêîðèñòàííÿì â³äïîâ³äíèõ êîåф³ö³ºíò³â àáñîðáö³¿ [12,14]. Êîíöåíòðàö³þ êðîõìàëþ âèçíà÷àëè çà ïðèíöèïîì óòâîðåííÿ çàáàðâëåíîгî êîìïëåêñó êðîõìàëü éîä [11], âèêîðèñòîâóþ÷è äëÿ ïîáóäîâè êàë³áðóâàëüíîгî гðàф³êà âîäîðîç÷èííèé êàðòîïëÿíèé êðîõìàëü.…”

“…Çðîñòàííÿ êîíöåíòðàö³¿ àíòîö³àí³â ìîжå áóòè íàñë³äêîì 䳿 íåñïðèÿòëèâèõ фàêòîð³â ñåðåäîâèùà, òàêèõ ÿê ïîñóõà, óëüòðàф³îëåòîâå âèïðîì³íþâàííÿ, ä³ÿ íèçüêèõ òåìïåðàòóð, íåñòà÷à àçîòó ³ фîñфîðó, çàáðóäíåííÿ, à òàêîж ïðè ³íф³êóâàíí³ áàêòåð³ÿìè òà гðèáàìè [12,15]. Ç îòðèìàíèõ ðåçóëüòàò³â âèäíî, ùî ó фàç³ 4 5 ëèñòê³â êîíöåíòðàö³ÿ àíòîö³àí³â áóëà á³ëüøîþ, ïîð³âíÿíî ç êîíòðîëåì, ó âñ³õ ³íîêóëüîâàíèõ áàêòåð³ÿìè ðîñëèí (òàáë.…”

“…Ó фàç³ öâ³ò³ííÿ êîíöåíòðàö³ÿ àíòîö³àí³â íå â³äð³çíÿëàñü â³ä òàêî¿ â êîíòðîë³, îêð³ì ðîñëèí, ³íîêóëüîâàíèõ øòàìîì RRL9, äå âîíà áóëà íà 21 % íèж÷îþ. Îòðèìàí³ ðåçóëüòàòè óçгîäжóþòüñÿ ç ë³òåðàòóðíèìè äàíèìè, äå çàçíà÷åíî çðîñòàííÿ êîíöåíòðàö³¿ àíòîö³àí³â ïðè ³íф³êóâàíí³ áàêòåð³ÿìè òà íàêîïè÷åííÿ ¿õ â ìîëîäèõ ëèñòêàõ ³ ïðè ñòàð³íí³ ðîñëèí [12]. Ç ë³òåðàòóðè â³äîìî, ùî åфåêòèâí³ñòü ñèìá³îçó áóëüáî÷êîâèõ áàêòåð³é çàëåжèòü ³ â³ä ïðèòîêó фîòîàñèì³ëÿò³â ó áóëüáî÷êè íà êîðåíÿõ ðîñëèí [4].…”