Modeling some mineral nutrient requirements for micropropagated wild apricot shoot cultures
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Дата
2017Автор
Kovalchuk, Irina
Mukhitdinova, Zinat
Turdiyev, Timur
Madiyeva, Gulnara
Akin, Melekşen
Eyduran, Ecevit
M. Reed, Barbara
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A response surface methodology (RSM)
experimental design was applied for improving micropropagation
of a wild apricot, Prunus armeniaca Lam., from
the mountains of Kazakhstan. In an initial study, woody
plant medium (WPM) mineral nutrients [calcium nitrate,
ammonium nitrate, mesos (calcium chloride, potassium
phosphate and magnesium sulfate) potassium sulfate and
minor nutrients] were tested in a response surface methodology
(RSM) experiment. Shoot quality was the best when
nitrogen and mesos (
CaCl2, MgSO4,
K2SO4,
KH2PO4)
compounds were altered. In this study an expanded mesos
optimization experiment was run. Data taken included a
subjective quality rating, shoot length, shoot number, leaf
color and size, callus and physiological disorders. Data were analyzed by Classification and Regression Tree Analysis
(CART), a data mining technique that provides specific
cutoff values for data and easy to interpret data trees. The
CART analysis indicated that the best quality would be
with ≤2.4× WPM levels of KH2PO4
and ≤0.75× MgSO4.
Shoot length was affected by K2SO4,
but most shoots were
of good size at any concentration. Shoot multiplication
was affected by KH2PO4,
but there were >5 shoots at any
concentration. Leaf color was best with ≤2.41× KH2PO4
and ≤1.22× K2SO4.
Based on the CART analysis, a recommendation
for improved mesos compounds was developed.
Each of the individual trees was analyzed and the
cutoff points determined so that all the growth characteristics
could be considered in the final concentrations chosen.
Using the combined results from the CART analysis, the
suggested medium would include WPM with CaCl2
2.7×,
MgSO4
2.7×, K2SO4
0.8×, KH2PO4
0.75×.