Most popular articles
Everything About Peaches. Clemson University Cooperative Extension Service Everything About Peaches Website: whether you are a professional or backyard peach...
Mission Statement. For the sake of mankind and the world as a whole a further increase of the sustainability...
Newsletter 9: July 2013 - Temperate Fruits in the Tropics and Subtropics. Download your copy of the Working Group Temperate...
USA Walnut varieties. The Walnut Germplasm Collection of the University of California, Davis (USA). A description of the Collection and a History...
China Walnut varieties.

Articles

Infrared spectroscopy as a rapid tool to assess apricot fruit quality: comparison of two strategies for a model establishment

Article number
1214_24
Pages
145 – 150
Language
English
Abstract
Infrared spectroscopy is known as a rapid tool to study apricot fruit quality, non-destructively by near-infrared (NIR, 800-2500 nm) range and destructively on fruit puree by mid-infrared (MIR, 4000-650 cm-1) range.
These techniques appear suitable for the determination of soluble solids content (SSC) and titratable acidity (TA). However, a major drawback is the need to repeatedly establish calibration equations, which can depend on cultivar, year, etc.
The objective here was to evaluate the robustness of NIR and MIR techniques and to determine the best strategy: is it more efficient to build models every year or to build global models combining all years? Eight apricot cultivars, representative of the known apricot diversity for quality traits, have been analysed between 2005 and 2011. The most efficient strategy (i.e., reliable calibration with a minimum of calibration) was a multi-year model, integrating a limited amount of fruit per year but incremented each year.

Publication
Authors
S. Bureau, C.M.G.C. Renard, Z. Fakhfackh, J.M. Audergon
Keywords
Prunus armeniaca L., near and mid-infrared
Full text
Online Articles (50)
M. Ruml | D. Milatović | D. Đurović | G. Zec | M. Jokić | M. Radović
X.P. Han | J.Z. Wang | X.M. Xue | P.X. Nie | R. Chen | C.M. Gao
B. Gouble | P. Reling | C.M.G.C. Renard | J.M. Broquaire | C. Chamet | J.M. Audergon
C. Xiloyannis | A.C. Tuzio | B. Dichio | M. Evangelos | K. Zuccherelli | G. Zuccherelli
I. Garcia de Cortazar-Atauri | J.M. Audergon | P. Bertuzzi | C. Anger | M. Bonhomme | I. Chuine | H. Davi | S. Delzon | E. Duchene | J.M. Legave | H. Raynal | C. Pichot | C. Van Leeuween
A.A. Nebish | G.S. Santrosyan | R.M. Aroutiounian
X.F. Xu | X.M. Han | H.Z. Han | L. Li | T.H. Wu
G. Costa | G. Fiori | L. Rocchi | S. Vidoni | N. Berthod | S. Besse | S. Knieling | J. Rossier
G.X. Ding | B.M. Wang | G.J. Qin | Y.F. Chen | B.G. Wang | P.F. Wen
G.X. Ding | B.M. Wang | B.C. Fu | G.Y. Cang | X.Y. Niu | P.F. Wen
B. Öztürk | Y. Sarıtepe | K. Öztürk | M. Didin | R. Konak
D. Milatović | M.F. Akšić | G. Zec | D. Đurović
Y.L. Chen | Y.B. Feng | L.H. Xia
F.C. Jiang | Y.Z. Wang | J.H. Zhang | H.Y. Sun | L. Yang
M. Xu | W.S. Liu | N. Liu | Q.P. Zhang | S. Liu | Y.P. Zhang
A. Erdoğan | T. Yiğit | S. Şahin | K.U. Yılmaz | M.N. Demirtaş | H.Ş. Öylek | S. Ercişli
H. Bourguiba | A. Lasnier | B. Krška | T. Zhebentyaeva | A. Remay | C. D¿Onofrio | C.A. Ledbetter | H. Iketani | D. Christen | W. Liu | G. Roch | J.M. Audergon
G. Fremondiere | A. Blanc | F. Gilles | G. Clauzel | J.M. Broquaire | G. Roch | B. Gouble | S. Bureau | C. Pitiot | J.M. Audergon
H.Y. Sun | J.H. Zhang | L. Yang | F.C. Jiang | Y.Z. Wang
D. Ruiz | A. Molina | M.D. Nortes | A. Molina | E. Ortega | P. Martínez-Gómez | F. Dicenta | M. Rubio | J. Egea
X. Wei | Q.P. Zhang | W.S. Liu | N. Liu | Y.P. Zhang | M. Xu | X.X. Ma | S. Liu | Y.J. Zhang
M. Rubio | D. Ruiz | P. Martínez-Gómez | J. Egea | F. Dicenta
S. Liu | Q.P. Zhang | D.C. Liu | N. Liu | A.M. Zhang | W.S. Liu
X.X. Ma | W.S. Liu | Q.P. Zhang | N. Liu | Y.P. Zhang | M. Xu | Y.J. Zhang
Y.P. Zhang | X.X. Ma | N. Liu | W.S. Liu | M. Xu | Q.P. Zhang | S. Liu | T.X. Zhang