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Pregled bibliografske jedinice broj: 1032443

Plant biomass in salt-stressed young maize plants can be modelled with photosynthetic performance


Galić, Vlatko; Mazur, Maja; Šimić, Domagoj; Zdunić, Zvonimir; Franić, Mario
Plant biomass in salt-stressed young maize plants can be modelled with photosynthetic performance // Photosynthetica, 57 (2019), SI; 9-19 doi:10.32615/ps.2019.131 (međunarodna recenzija, članak, znanstveni)


Naslov
Plant biomass in salt-stressed young maize plants can be modelled with photosynthetic performance

Autori
Galić, Vlatko ; Mazur, Maja ; Šimić, Domagoj ; Zdunić, Zvonimir ; Franić, Mario

Izvornik
Photosynthetica (0300-3604) 57 (2019), SI; 9-19

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Biomass predictions ; NaCl stress ; partial least squares regression ; performance index ; photosystem II

Sažetak
Predicting responses to stressful conditions is very important. Chlorophyll a fluorescence (ChlF) can be used to assess effects of various stresses on photosynthetic performance. We tested the responses of five 10-d old maize hybrids to salinity stress by measuring ChlF parameters, fresh (FM) and dry mass (DM). ChlF data were incorporated into a penalized regression model to predict biomass traits. The values of FM and DM significantly decreased under salt stress by 42 and 25%, respectively. Strong responses in ChlF parameters assessing the absorption dissipation and trapping fluxes to NaCl treatment were detected. In penalized regression models, 118 transients showed greater (R2 = 0.663 for FM and R2 = 0.678 for DM), although comparable, predictive abilities as 18 selected JIP-test parameters (R2 = 0.597 for FM and R2 = 0.636 for DM). Genetic assessment of developed models is needed, as they efficiently predict biomass traits and provide physiological context to the obtained predictions.

Izvorni jezik
Engleski

Znanstvena područja
Biologija, Interdisciplinarne biotehničke znanosti



POVEZANOST RADA


Ustanove
Poljoprivredni institut Osijek,
Institut za poljoprivredu i turizam, Poreč

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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