Mineral nutrition influences physiological responses of pear in vitro

Reed, Barbara M.; Wada, Sugae; DeNoma, Jeanine; Niedz, Randall P.

doi:10.1007/s11627-013-9556-2

Cited by 66 publications

(52 citation statements)

References 28 publications

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“…There is much statistical software for optimizing the growth medium for in vitro plant culture (Gago et al, 2010; Gallego et al, 2011). Response surface method (RSM) is one of the software that has been repeatedly used to optimize growth medium for in vitro culture of pear genotypes (Reed et al, 2013a,b; Wada et al, 2013, 2015). Previous studies detected that ANN-GA models had a substantially higher accuracy of prediction than RSM models (Sedghi et al, 2012).…”

Section: Resultsmentioning

confidence: 99%

Predicting In vitro Culture Medium Macro-Nutrients Composition for Pear Rootstocks Using Regression Analysis and Neural Network Models

et al. 2016

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Two modeling techniques [artificial neural network-genetic algorithm (ANN-GA) and stepwise regression analysis] were used to predict the effect of medium macro-nutrients on in vitro performance of pear rootstocks (OHF and Pyrodwarf). The ANN-GA described associations between investigating eight macronutrients (NO3-, NH4+, Ca2+, K+, Mg2+, PO42-, SO42-, and Cl−) and explant growth parameters [proliferation rate (PR), shoot length (SL), shoot tip necrosis (STN), chlorosis (Chl), and vitrification (Vitri)]. ANN-GA revealed a substantially higher accuracy of prediction than for regression models. According to the ANN-GA results, among the input variables concentrations (mM), NH4+ (301.7), and NO3-, NH4+ (64), SO42- (54.1), K+ (40.4), and NO3- (35.1) in OHF and Ca2+ (23.7), NH4+ (10.7), NO3- (9.1), NH4+ (317.6), and NH4+ (79.6) in Pyrodwarf had the highest values of VSR in data set, respectively, for PR, SL, STN, Chl, and Vitri. The ANN-GA showed that media containing (mM) 62.5 NO3-, 5.7 NH4+, 2.7 Ca2+, 31.5 K+, 3.3 Mg2+, 2.6 PO42-, 5.6 SO42-, and 3.5 Cl− could lead to optimal PR for OHF and optimal PR for Pyrodwarf may be obtained with media containing 25.6 NO3-, 13.1 NH4+, 5.5 Ca2+, 35.7 K+, 1.5 Mg2+, 2.1 PO42-, 3.6 SO42-, and 3 Cl−.

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Section: Resultsmentioning

confidence: 99%

Predicting In vitro Culture Medium Macro-Nutrients Composition for Pear Rootstocks Using Regression Analysis and Neural Network Models

et al. 2016

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“…Reports of satisfactory in vitro results for Si supplementation include studies of ornithogalum (Ziv et al, 2010), begonia (Lim et al, 2012), water reed (Mathé et al, 2012), rice (He et al, 2013), pear (Reed et al, 2013), orchids Soares et al, 2012;Colombo et al, 2016), banana plants (Asmar et al, 2013a, b), ajuga (Sivanesan and Jeong, 2014), and anthurium (Dias et al, 2014). However, no study has reported the effects of Si addition to yam micropropagation culture media.…”

Section: Introductionmentioning

confidence: 99%

Application of silicon sources in yam (Dioscorea spp.) micropropagation

Rodrigues¹,

Rezende²,

Soares³

et al. 2017

Aust J Crop Sci

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The addition of silicon is known to produce satisfactory results in several types of plant cultures. However, there are no reports on the effects of addition of silicon to yam (Dioscorea spp.) micropropagation culture medium. The objective of the present study was to evaluate the effects of different silicon concentrations and sources on the growth characteristics of yam plants cultivated in vitro.Three sources of silicon were tested: potassium silicate, calcium silicate, and sodium silicate, each at concentrations of 0.0, 0.5, 1.0, and 2.0 mg L -1 , in all possible combinations. The experimental design was entirely randomized in a 3 × 4 factorial scheme with four replicates and twelve plants per treatment. The 2 mg L -1 sodium silicate supplement yielded the highest number of leaves (7.0) whereas the 1 mg L -1 sodium silicate produced the longest shoots (4.02 cm). Calcium silicate and potassium silicate yielded the highest fresh weight (0.2835 g and 0.2627 g, respectively). Overall, silicon promotes better plant development, with calcium silicate yielding the highest fresh weight. For in vitro yam cultivation, sodium silicate concentrations ranging between 1-2 mg L -1 are ideal.

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“…The optimization of inorganic nutrients in the culture medium improves growth and morphogenesis of plant cells, tissues and organs in vitro . Several physiological disorders such as hooked leaves, hyperhydricity, fasciation and shoot tip necrosis are often associated with the concentration of inorganic nutrients in the culture medium (Reed et al, 2013). …”

Section: Introductionmentioning

confidence: 99%

The role of silicon in plant tissue culture

Sivanesan¹,

Park²

2014

Front. Plant Sci.

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Growth and morphogenesis of in vitro cultures of plant cells, tissues, and organs are greatly influenced by the composition of the culture medium. Mineral nutrients are necessary for the growth and development of plants. Several morpho-physiological disorders such as hooked leaves, hyperhydricity, fasciation, and shoot tip necrosis are often associated with the concentration of inorganic nutrient in the tissue culture medium. Silicon (Si) is the most abundant mineral element in the soil. The application of Si has been demonstrated to be beneficial for growth, development and yield of various plants and to alleviate various stresses including nutrient imbalance. Addition of Si to the tissue culture medium improves organogenesis, embryogenesis, growth traits, morphological, anatomical, and physiological characteristics of leaves, enhances tolerance to low temperature and salinity, protects cells and against metal toxicity, prevents oxidative phenolic browning and reduces the incidence of hyperhydricity in various plants. Therefore, Si possesses considerable potential for application in a wide range of plant tissue culture studies such as cryopreservation, organogenesis, micropropagation, somatic embryogenesis and secondary metabolites production.

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Mineral nutrition influences physiological responses of pear in vitro

Cited by 66 publications

References 28 publications

Predicting In vitro Culture Medium Macro-Nutrients Composition for Pear Rootstocks Using Regression Analysis and Neural Network Models

Predicting In vitro Culture Medium Macro-Nutrients Composition for Pear Rootstocks Using Regression Analysis and Neural Network Models

Application of silicon sources in yam (Dioscorea spp.) micropropagation

The role of silicon in plant tissue culture

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