The detection of leaf functionality is of pivotal importance for plant scientists from both theoretical and practical point of view. Leaves are the sources of dry matter and food, and they sequester CO2 as well. Under the perspective of climate change and primary resource scarcity (i.e. water, fertilizers and soil), assessing leaf photo-assimilation in a rapid but comprehensive way can be helpful for understanding plant behavior under different environmental conditions and for managing the agricultural practices properly. Several approaches have been proposed for this goal, however, some of them resulted very efficient but little reliable. On the other hand, the high reliability and exhaustive information of some models used for estimating net photosynthesis are at the expense of time and ease of measurement. The present study employs a multivariate statistical approach to assess a model aiming at estimating leaf photo-assimilation performance, using few and easy-to-measure variables. The model, parameterized for apple and pear and subjected to internal and external cross validation, involves chlorophyll fluorescence, carboxylative activity of ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCo), air and leaf temperature. Results prove that this is a fair-predictive model allowing reliable variable assessment. The dependent variable, called IPL index, was found strongly and linearly correlated to net photosynthesis. IPL and the model behind it seem to be (1) reliable, (2) easy and fast to measure and (3) usable in vivo and in the field for such cases where high amount of data is required (e.g. precision agriculture and phenotyping studies).

A multivariate approach for assessing leaf photo-assimilation performance using the IPL index / Losciale, P.; Manfrini, L.; Morandi, B.; Pierpaoli, E.; Zibordi, M.; Stellacci, A. M.; Salvati, L.; Corelli Grappadelli, L.. - In: PHYSIOLOGIA PLANTARUM. - ISSN 0031-9317. - 154:4(2015), pp. 609-620. [10.1111/ppl.12328]

A multivariate approach for assessing leaf photo-assimilation performance using the IPL index

Salvati L.;
2015

Abstract

The detection of leaf functionality is of pivotal importance for plant scientists from both theoretical and practical point of view. Leaves are the sources of dry matter and food, and they sequester CO2 as well. Under the perspective of climate change and primary resource scarcity (i.e. water, fertilizers and soil), assessing leaf photo-assimilation in a rapid but comprehensive way can be helpful for understanding plant behavior under different environmental conditions and for managing the agricultural practices properly. Several approaches have been proposed for this goal, however, some of them resulted very efficient but little reliable. On the other hand, the high reliability and exhaustive information of some models used for estimating net photosynthesis are at the expense of time and ease of measurement. The present study employs a multivariate statistical approach to assess a model aiming at estimating leaf photo-assimilation performance, using few and easy-to-measure variables. The model, parameterized for apple and pear and subjected to internal and external cross validation, involves chlorophyll fluorescence, carboxylative activity of ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCo), air and leaf temperature. Results prove that this is a fair-predictive model allowing reliable variable assessment. The dependent variable, called IPL index, was found strongly and linearly correlated to net photosynthesis. IPL and the model behind it seem to be (1) reliable, (2) easy and fast to measure and (3) usable in vivo and in the field for such cases where high amount of data is required (e.g. precision agriculture and phenotyping studies).
2015
Electron transport rate; Electron transport rate; Astochron Index;
01 Pubblicazione su rivista::01a Articolo in rivista
A multivariate approach for assessing leaf photo-assimilation performance using the IPL index / Losciale, P.; Manfrini, L.; Morandi, B.; Pierpaoli, E.; Zibordi, M.; Stellacci, A. M.; Salvati, L.; Corelli Grappadelli, L.. - In: PHYSIOLOGIA PLANTARUM. - ISSN 0031-9317. - 154:4(2015), pp. 609-620. [10.1111/ppl.12328]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1647547
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