Tissue culture propagation of Mongolian cherry (Prunus fruticosa L.) and Nanking cherry (Prunus Tomentosa L.)

Pruski, Kris

doi:10.1007/978-1-4020-6352-7_36

Cited by 11 publications

(11 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The best rooting response of the developed shoots was obtained in MS medium which contained 1.0 mg/L NAA and 2.0 mg/L IBA. The same results were reported previously by many researchers (22)(23)(24). The carbon from sucrose resulted in 92% shoot formation.…”

Section: Discussionsupporting

confidence: 92%

Development and Optimization of MicroPropagation, In Vitro Methodology for Gladiolus

Mateen

2019

BSR

View full text Add to dashboard Cite

Gladiolus is a non-native, costly but an important flowering plant in South Asia. Considering its lower production rate and economic importance, micro-propagation technology was optimized in this study to establish a protocol for pathogen free clonal genotypes. Taken the results together, the best response was observed at 27°C as growing temperature, table sugar (sucrose) as a carbon source, apical Keywords BAP IBA Kinetin Micro-propagation MS basal medium NAA meristem of 3mm for shoot formation as an explant. The best plant regeneration was observed for shoot apical meristem (within 7.8 days after inoculation) by using Murashige and Skoog MS basal medium with supplementing 1.0 mg/L BAP and 0.5 mg/L of Kinetin. The best shoot multiplication was 98% in 18.2 days of inoculation using MS media with 1.0 mg/L BAP only. For root induction, MS media which was supplemented with 1.0 mg/L NAA and 2.0 mg/L IBA gave the best results (100% in 6.8 days). The best supporting agent was found to be cotton swab while the best media for hardening and acclimatization of well-developed plants was a combination of sand, soil, and peat in an equal ratio (1:1:1), leading to 80% survival rate of plants. The results obtained in this study may better help grow Gladiolus plants on an industrial scale with a lower cost of production Bioscientific Reviews Volume 1(2) Bioscientific Reviews Volume 1(2)

show abstract

Section: Discussionsupporting

confidence: 92%

Development and Optimization of MicroPropagation, In Vitro Methodology for Gladiolus

Mateen

2019

BSR

View full text Add to dashboard Cite

show abstract

“…They may induce D type (D 3 ) cycles and so the progress of cell cycle from G 1 to S and may G 2 to M transfer is achieved by CDC2 gene expression induction by H 1 kinase histone and de-phosphorylation induction by Cdc25. Our adverse obtained results can be due to the fact that shooting is under influence of many factors such as genotype, culture medium ( Molassiotis et al, 2003 ), hormones, carbohydrates ( Ruzic et al, 2003 ; Nowak et al, 2004 ), different kinds of hormones ( Pruski, 2007 ; Ruzic and Vujovic, 2008 ; Sedlak and Paprstein, 2008 ), different kinds of agar, explant type and different light periods ( Magyar-Tábori et al, 2010 ). Researches have shown that high concentrations of hormonal combinations can decrease LS, quality and rate of shooting and increase callus development as low concentrations auxin can induce cell division but can act as an inhibitor of axillary bud growth in higher concentrations ( Bagheri et al, 2009 ).…”

Section: Discussionmentioning

confidence: 96%

Mathematical Modeling and Optimizing of in Vitro Hormonal Combination for G × N15 Vegetative Rootstock Proliferation Using Artificial Neural Network-Genetic Algorithm (ANN-GA)

et al. 2017

View full text Add to dashboard Cite

The efficiency of a hybrid systems method which combined artificial neural networks (ANNs) as a modeling tool and genetic algorithms (GAs) as an optimizing method for input variables used in ANN modeling was assessed. Hence, as a new technique, it was applied for the prediction and optimization of the plant hormones concentrations and combinations for in vitro proliferation of Garnem (G × N15) rootstock as a case study. Optimizing hormones combination was surveyed by modeling the effects of various concentrations of cytokinin–auxin, i.e., BAP, KIN, TDZ, IBA, and NAA combinations (inputs) on four growth parameters (outputs), i.e., micro-shoots number per explant, length of micro-shoots, developed callus weight (CW) and the quality index (QI) of plantlets. Calculation of statistical values such as R2 (coefficient of determination) related to the accuracy of ANN-GA models showed a considerably higher prediction accuracy for ANN models, i.e., micro-shoots number: R2 = 0.81, length of micro-shoots: R2 = 0.87, CW: R2 = 0.88, QI: R2 = 0.87. According to the results, among the input variables, BAP (19.3), KIN (9.64), and IBA (2.63) showed the highest values of variable sensitivity ratio for proliferation rate. The GA showed that media containing 1.02 mg/l BAP in combination with 0.098 mg/l IBA could lead to the optimal proliferation rate (10.53) for G × N15 rootstock. Another objective of the present study was to compare the performance of predicted and optimized cytokinin–auxin combination with the best optimized obtained concentrations of our other experiments. Considering three growth parameters (length of micro-shoots, micro-shoots number, and proliferation rate), the last treatment was found to be superior to the rest of treatments for G × N15 rootstock in vitro multiplication. Very little difference between the ANN predicted and experimental data confirmed high capability of ANN-GA method in predicting new optimized protocols for plant in vitro propagation.

show abstract

“…However, the genus Prunus presents noted exceptions. Although Prunus pseudocerasus (Huang et al 2008) shows the expected SI breakdown in polyploids, the likely recent allopolyploids P. cerasus (Hauck et al 2002), P. spinosa (Nunes et al 2006) and P. fruticosa (Pruski 2007) each retain functioning SI. Alterations in the pollen‐S gene of P. cerasus are suggested to be responsible for the maintenance of SI in polyploids (Hauck et al 2006).…”

Section: Discussionmentioning

confidence: 99%

Comparative Evidence for the Correlated Evolution of Polyploidy and Self-Compatibility in Solanaceae

Robertson¹,

Goldberg²,

Igić³

2010

Evolution

112

View full text Add to dashboard Cite

Breakdown of self-incompatibility occurs repeatedly in flowering plants with important evolutionary consequences. In plant families in which self-incompatibility is mediated by S-RNases, previous evidence suggests that polyploidy may often directly causeself-compatibility through the formation of diploid pollen grains. We use three approaches to examine relationships between selfincompatibility and ploidy. First, we test whether evolution of self-compatibility and polyploidy is correlated in the nightshade family (Solanaceae), and find the expected close association between polyploidy and self-compatibility. Second, we compare the rate of breakdown of self-incompatibility in the absence of polyploidy against the rate of breakdown that arises as a byproduct of polyploidization, and we find the former to be greater. Third, we apply a novel extension to these methods to show that the relative magnitudes of the macroevolutionary pathways leading to self-compatible polyploids are time dependent. Over small time intervals, the direct pathway from self-incompatible diploids is dominant, whereas the pathway through self-compatible diploids prevails over longer time scales. This pathway analysis is broadly applicable to models of character evolution in which sequential combinations of rates are compared. Finally, given the strong evidence for both irreversibility of the loss of self-incompatibility in the family and the significant association between self-compatibility and polyploidy, we argue that ancient polyploidy is highly unlikely to have occurred within the Solanaceae, contrary to previous claims based on genomic analyses. K E Y W O R D S :Angiosperms, breeding systems, comparative methods, polyploidy, self-incompatibility, statistical phylogenetics.Self-incompatibility (SI) is the common ability of hermaphrodite plants to recognize and reject their own pollen with a genetically based mechanism. Approximately one-half of all extant angiosperm species prevent self-fertilization by deploying SI (Brewbaker 1959;. Although many different mechanisms of SI evolved in flowering plants, a particular system, which uses RNases in the female component of self-rejection, appears to be ancient. It likely originated at least 90 million years ago (mya), and it may cause SI in dozens of extant eudicot families, including some of the most diverse . A notable property of SI systems is the high rate at which they transition to self-compatibility (SC), considered one of the most common evolutionary transitions in plants (Stebbins 1974). Consequently, many individuals, populations, and species do not express SI. Empirical data on the mechanisms that underlie losses of SI are sparse. Although the genetic causes of transitions from SI to SC vary widely (Stone 2002), a significant proportion of such transitions may involve polyploidization (Livermore and

show abstract

Tissue culture propagation of Mongolian cherry (Prunus fruticosa L.) and Nanking cherry (Prunus Tomentosa L.)

Cited by 11 publications

References 34 publications

Development and Optimization of MicroPropagation, In Vitro Methodology for Gladiolus

Development and Optimization of MicroPropagation, In Vitro Methodology for Gladiolus

Mathematical Modeling and Optimizing of in Vitro Hormonal Combination for G × N15 Vegetative Rootstock Proliferation Using Artificial Neural Network-Genetic Algorithm (ANN-GA)

Comparative Evidence for the Correlated Evolution of Polyploidy and Self-Compatibility in Solanaceae

Contact Info

Product

Resources

About