Anna Maria Stellacci

Prof. Anna Maria Stellacci

Department of Soil, Plant and Food Sciences, University of Bari “A. Moro”, 70125 Bari, Italy
orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2013 in Soil and Tillage Research
Verified
Journal Article
Closed access
EAE. Armenise
E. Armenise
MRM.A. Redmile-Gordon
M.A. Redmile-Gordon
ASAnna Maria Stellacci
Anna Maria Stellacci
ACA. Ciccarese
A. Ciccarese
PRP. Rubino
P. Rubino

1 March 2011 in Cereal Research Communications
Verified
Journal Article
Closed access
LCL. Cabrera-Bosquet
L. Cabrera-Bosquet
Gemma MoleroGemma Molero
Gemma Molero
ASAnna Maria Stellacci
Anna Maria Stellacci
JBJ. Bort
J. Bort
SNSalvador Nogués
Salvador Nogués
JAJosé Luis Araus
José Luis Araus
The application of spectroradiometric index such as the normalized difference vegetation index (NDVI) to assess green biomass or nitrogen (N) content has focused on the plant canopy in precision agriculture or breeding programs. However, little is known about the usefulness of these techniques in isolated plants. The few reports available propose the use of a spectroradiometer in combination with special adaptors that improve signal acquisition from plants, but this makes measurements relatively slow and unsuitable. Here we studied the direct use (i.e. without adaptors) of a commercial cost-effective spectroradiometer, GreenSeeker™ (NTech Industries Ins., Ukiah, California, USA) provided with an active sensor (i.e. equipped with its own source of radiation) for measuring NDVI in four genotypes of durum wheat (Triticum turgidum L. var. durum) grown in pots under a range of water and N regimes. Strong correlations were observed between NDVI measurements and dry aboveground biomass (AB), total green area (TGA), green area without spikes (GA) and aboveground N content (AN). To prove the predictive ability of NDVI measured under potted conditions, linear regression models for each growth trait and for plant N content were built with the data of two genotypes. The models accurately predicted growth traits and N content, confirming the direct relationship between total plant biomass and spectroradiometric readings

1 January 2010 in Field Crops Research
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Journal Article
Closed access
RARossella Albrizio
Rossella Albrizio
Mladen TodorovicMladen Todorovic
Mladen Todorovic
TMTatjana Matic
Tatjana Matic
ASAnna Maria Stellacci
Anna Maria Stellacci

1 March 2016 in Agricultural Water Management
Verified
Journal Article
Closed access
Vito CantoreVito Cantore
Vito Cantore
OLO. Lechkar
O. Lechkar
EKE. Karabulut
E. Karabulut
Mohamed Houssemeddine SellamiMohamed Houssemeddine Sellami
Mohamed Houssemeddine Sellami
Rossella AlbrizioRossella Albrizio
Rossella Albrizio
Mladen TodorovicMladen Todorovic
Mladen Todorovic

1 January 2013 in Postharvest Biology and Technology
Verified
Journal Article
Closed access
ACAdelaide Ciccarese
Adelaide Ciccarese
ASAnna Maria Stellacci
Anna Maria Stellacci
GGGiovanni Gentilesco
Giovanni Gentilesco
PRPietro Rubino
Pietro Rubino

1 August 2015 in Scientia Horticulturae
Verified
Journal Article
Closed access
AVAlessandro Gaetano Vivaldi
Alessandro Gaetano Vivaldi
GSG. Strippoli
G. Strippoli
Simone PascuzziSimone Pascuzzi
Simone Pascuzzi
ASAnna Maria Stellacci
Anna Maria Stellacci
SCSalvatore Camposeo
Salvatore Camposeo