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Tytuł:
Analiza wybranych metod walidacji krzyżowej w programie RSES
Analysis of selected cross-validation methods in the RSES program
Autorzy:
Kołpacki, Radosław
Powiązania:
https://bibliotekanauki.pl/articles/41203506.pdf
Data publikacji:
2024
Wydawca:
Uniwersytet Kazimierza Wielkiego w Bydgoszczy
Tematy:
walidacja krzyżowa
RSES
analiza danych
zależność
algorytm genetyczny
cross-validation
data analysis
dependency
genetic algorithm
Opis:
W artykule przeprowadzono analizę zbioru danych za pomocą dwóch metod walidacji krzyżowej. Wykorzystano program RSES do identyfikacji kluczowych właściwości i relacji w zbiorze. Wyniki wykazują wpływ niektórych parametrów na potencjalną dokładność wyników.
This article presents an analysis of a dataset using two cross-validation methods. The RSES program was employed to identify key properties and relationships within the dataset. The results indicate the impact of certain parameters on the potential accuracy of the outcomes.
Źródło:
Studia i Materiały Informatyki Stosowanej; 2024, 16, 1
1689-6300
Pojawia się w:
Studia i Materiały Informatyki Stosowanej
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analiza wybranych metod walidacji krzyżowej w programie RSES
Analysis of selected cross-validation methods in the RSES program
Autorzy:
Bethke, Beata
Powiązania:
https://bibliotekanauki.pl/articles/41203515.pdf
Data publikacji:
2024
Wydawca:
Uniwersytet Kazimierza Wielkiego w Bydgoszczy
Tematy:
walidacja krzyżowa
RSES
analiza danych
zależność
algorytm genetyczny
cross-validation
data analysis
dependency
genetic algorithm
Opis:
W artykule przeprowadzono analizę zbioru danych za pomocą dwóch metod walidacji krzyżowej. Wykorzystano program RSES do identyfikacji kluczowych właściwości i relacji w zbiorze. Wyniki wykazują wpływ niektórych parametrów na potencjalną dokładność wyników.
This article presents an analysis of a dataset using two cross-validation methods. The RSES program was employed to identify key properties and relationships within the dataset. The results indicate the impact of certain parameters on the potential accuracy of the outcomes.
Źródło:
Studia i Materiały Informatyki Stosowanej; 2024, 16, 1; 11-14
1689-6300
Pojawia się w:
Studia i Materiały Informatyki Stosowanej
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Drug-resistant epilepsy and its selected complications in children
Padaczka lekooporna oraz jej wybrane powikłania u dzieci
Autorzy:
Knopek, Magdalena
Iwanicka, Joanna
Boryczka, Grzegorz
Powiązania:
https://bibliotekanauki.pl/articles/33293485.pdf
Data publikacji:
2024-06-24
Wydawca:
Śląski Uniwersytet Medyczny w Katowicach
Tematy:
complications
drug-resistant epilepsy
genetic basis
powikłania
padaczka lekooporna
podłoże genetyczne
Opis:
Drug-resistant epilepsy (DRE) in children is one of the most diagnosed disorders of the nervous system. Despite the availability of pharmacotherapy with various mechanisms of action, drug resistance leads to the inability to achieve the intended therapeutic effect. Considering the complex etiology of this disease entity, there is an urgent need to deepen our knowledge regarding the determinants of DRE, as well as the potential for improving the quality of life for patients and their families. This paper provides an overview and description of the latest advancements and current state of knowledge related to the clinical characteristics, epidemiology, possible complications, and especially genetic basis of DRE in the Polish population of children.
Padaczka lekooporna (drug-resistant epilepsy – DRE) u dzieci jest jedną z najczęściej diagnozowanych chorób układu nerwowego. Pomimo dostępności farmakoterapii o różnych mechanizmach działania lekooporność determinuje brak możliwości osiągnięcia zamierzonego efektu terapeutycznego. Mając na uwadze złożoną etiologię omawianej jednostki chorobowej, istnieje pilna potrzeba zgłębiania wiedzy w zakresie determinantów DRE, jak i możliwości poprawy jakości życia pacjentów oraz ich rodzin. Praca stanowi opis z podsumowaniem najnowszych osiągnięć i aktualnego stanu wiedzy odnoszącego się do charakterystyki klinicznej, epidemiologii, możliwych powikłań, a szczególnie podłoża genetycznego DRE w polskiej populacji dzieci.
Źródło:
Annales Academiae Medicae Silesiensis; 2024, 78; 127-137
1734-025X
Pojawia się w:
Annales Academiae Medicae Silesiensis
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A generative approach to hull design for a small watercraft
Autorzy:
Karczewski, Artur
Kozak, Janusz
Powiązania:
https://bibliotekanauki.pl/articles/32917891.pdf
Data publikacji:
2023
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
method
generative design
yacht
optimisation
genetic algorithm
Opis:
In the field of ocean engineering, the task of spatial hull modelling is one of the most complicated problems in ship design. This study presents a procedure applied as a generative approach to the design problems for the hull geometry of small vessels using elements of concurrent design with multi-criteria optimisation processes. Based upon widely available commercial software, an algorithm for the mathematical formulation of the boundary conditions, the data flow during processing and formulae for the optimisation processes are developed. As an example of the application of this novel approach, the results for the hull design of a sailing yacht are presented.
Źródło:
Polish Maritime Research; 2023, 1; 4-12
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A genetic algorithm based optimized convolutional neural network for face recognition
Autorzy:
Karlupia, Namrata
Mahajan, Palak
Abrol, Pawanesh
Lehana, Parveen K.
Powiązania:
https://bibliotekanauki.pl/articles/2201023.pdf
Data publikacji:
2023
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
convolutional neural network
genetic algorithm
deep learning
evolutionary technique
sieć neuronowa konwolucyjna
algorytm genetyczny
uczenie głębokie
technika ewolucyjna
Opis:
Face recognition (FR) is one of the most active research areas in the field of computer vision. Convolutional neural networks (CNNs) have been extensively used in this field due to their good efficiency. Thus, it is important to find the best CNN parameters for its best performance. Hyperparameter optimization is one of the various techniques for increasing the performance of CNN models. Since manual tuning of hyperparameters is a tedious and time-consuming task, population based metaheuristic techniques can be used for the automatic hyperparameter optimization of CNNs. Automatic tuning of parameters reduces manual efforts and improves the efficiency of the CNN model. In the proposed work, genetic algorithm (GA) based hyperparameter optimization of CNNs is applied for face recognition. GAs are used for the optimization of various hyperparameters like filter size as well as the number of filters and of hidden layers. For analysis, a benchmark dataset for FR with ninety subjects is used. The experimental results indicate that the proposed GA-CNN model generates an improved model accuracy in comparison with existing CNN models. In each iteration, the GA minimizes the objective function by selecting the best combination set of CNN hyperparameters. An improved accuracy of 94.5% is obtained for FR.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2023, 33, 1; 21--31
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A genetic algorithm-based approach for flexible job shop rescheduling problem with machine failure interference
Autorzy:
Liang, Zhongyuan
Zhong, Peisi
Zhang, Chao
Yang, Wenlei
Xiong, Wei
Yang, Shihao
Meng, Jing
Powiązania:
https://bibliotekanauki.pl/articles/27320976.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
genetic algorithm
rescheduling
machine failure
flexible job shop scheduling
Opis:
Rescheduling is the guarantee to maintain the reliable operation of production system process. In production system, the original scheduling scheme cannot be carried out when machine breaks down. It is necessary to transfer the production tasks in the failure cycle and replan the production path to ensure that the production tasks are completed on time and maintain the stability of production system. To address this issue, in this paper, we studied the event-driven rescheduling policy in dynamic environment, and established the usage rules of right-shift rescheduling and complete rescheduling based on the type of interference events. And then, we proposed the rescheduling decision method based on genetic algorithm for solving flexible job shop scheduling problem with machine fault interference. In addition, we extended the "mk" series of instances by introducing the machine fault interference information. The solution data show that the complete rescheduling method can respond effectively to the rescheduling of flexible job shop scheduling problem with machine failure interference.
Źródło:
Eksploatacja i Niezawodność; 2023, 25, 4; art. no. 171784
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A novel framework for fetal nuchal translucency abnormality detection using hybrid maxpool matrix histogram analysis
Autorzy:
Verma, Deept
Agrawal, Shweta
Powiązania:
https://bibliotekanauki.pl/articles/38703226.pdf
Data publikacji:
2023
Wydawca:
Instytut Podstawowych Problemów Techniki PAN
Tematy:
nuchal translucency
genetic disorders
hybrid maxpool matrix histogram analysis
pregnant women
machine learning
przezierność karku
zaburzenia genetyczne
analiza histogramu hybrydowej macierzy Maxpool
kobiety w ciąży
nauczanie maszynowe
Opis:
Birth defects affect 1 to 3 percent of the population and are mostly detected in pregnantwomen through double, triple, and quadruple testing. Ultrasonography helps to discoverand define such anomalies in fetuses. Ultrasound pictures of nuchal translucency (NT)are routinely used to detect genetic disorders in fetuses. The NT area lacks identifiablelocal behaviors and detection algorithms are required to classify the fetal head. On theother hand, explicit identification of other body parts comes at a higher cost in termsof annotations, implementation, and analysis. In circumstances of ambiguous head placement or non-standard head-NT relationships, it may potentially cause cascading errors.In this research work, a linear contour size filter is used to decrease noise from the image,and then the picture is scaled. Then, a novel hybrid maxpool matrix histogram analysis (HMMHA) is proposed to enhance the initiation and progression. The training andassessment were conducted using a dataset of 33 ultrasound pictures. Extensive testingshows that the direct method reliably identifies and measures NT. The suggested modelmay assist doctors in making decisions about pregnancies with fetal growth restriction,particularly for patients who have nuchal translucency or congenital anomalies and donot require induced labor due to these abnormalities. The performance of the proposedtechnique is analyzed in terms of error rate, sensitivity, Matthews correlation coefficient(MCC), accuracy, precision, recall, and F1-score. The error rate of the proposed model is28.21% and it is found to be better when compared with the conventional approaches. Finally, the error prediction is compared with the existing models obtained from the medicaldataset of pregnant women to identify fetal abnormality positions.
Źródło:
Computer Assisted Methods in Engineering and Science; 2023, 30, 3; 277-290
2299-3649
Pojawia się w:
Computer Assisted Methods in Engineering and Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of genetic algorithm for double-lap adhesive joint design
Autorzy:
Kurennov, Sergei
Barakhov, Konstantin
Polyakov, Olexander
Taranenko, Igor
Powiązania:
https://bibliotekanauki.pl/articles/27309876.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
adhesive joint
genetic algorithm
optimization
finite difference method
Goland-Reissner model
złącze klejowe
algorytm genetyczny
optymalizacja
metoda różnic skończonych
Model Golanda-Reissnera
Opis:
The problem of optimal design of symmetrical double-lap adhesive joint is considered. It is assumed that the main plate has constant thickness, while the thickness of the doublers can vary along the joint length. The optimization problem consists in finding optimal length of the joint and an optimal cross-section of the doublers, which provide minimum structural mass at given strength constraints. The classical Goland-Reissner model was used to describe the joint stress state. A corresponding system of differential equations with variable coefficients was solved using the finite difference method. Genetic optimization algorithm was used for numerical solution of the optimization problem. In this case, Fourier series were used to describe doubler thickness variation along the joint length. This solution ensures smoothness of the desired function. Two model problems were solved. It is shown that the length and optimal shape of the doubler depend on the design load.
Źródło:
Archive of Mechanical Engineering; 2023, LXX, 1; 27--42
0004-0738
Pojawia się w:
Archive of Mechanical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of genetic algorithms to the traveling salesman problem
Autorzy:
Sikora, Tomasz
Gryglewicz-Kacerka, Wanda
Powiązania:
https://bibliotekanauki.pl/articles/30148246.pdf
Data publikacji:
2023
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
evolutionary algorithms
genetic algorithms
traveling salesman problem
TSP
Opis:
The purpose of this paper was to investigate in practice the possibility of using evolutionary algorithms to solve the traveling salesman problem on a real example. The goal was achieved by developing an original implementation of the evolutionary algorithm in Python, and by preparing an example of the traveling salesman problem in the form of a directed graph representing Polish voivodship cities. As part of the work an application in Python was written. It provides a user interface which allows to set selected parameters of the evolutionary algorithm and solve the prepared problem. The results are presented in both text and graphical form. The correctness of the evolutionary algorithm's operation and the implementation was confirmed by performed tests. A large number of tested solutions (2500) and the analysis of the obtained results allowed for a conclusion that an optimal (relatively suboptimal) solution was found.
Źródło:
Applied Computer Science; 2023, 19, 2; 55-62
1895-3735
2353-6977
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of Real-time fan scheduling in exploration-exploitation to optimize minimum function objectives
Autorzy:
Larios-Gómez, Mariano
Quintero-Flores, Perfecto M.
Anzures-García, Mario
Camacho-Hernandez, Miguel
Powiązania:
https://bibliotekanauki.pl/articles/30148244.pdf
Data publikacji:
2023
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
real-time task scheduling
genetic algorithms
concurrent computing
Opis:
This paper presents the application of a task scheduling algorithm called Fan based on artificial intelligence technique such as genetic algorithms for the problem of finding minima in objective functions, where equations are predefined to measure the return on investment. This work combines the methodologies of population exploration and exploitation. Results with good aptitudes are obtained until a better learning based on non-termination conditions is found, until the individual provides a better predisposi¬tion, adhering to the established constraints, exhausting all possible options and satisfying the stopping condition. A real-time task planning algorithm was applied based on consensus techniques. A software tool was developed, and the scheduler called FAN was adapted that contemplates the execution of periodic, aperiodic, and sporadic tasks focused on controlled environments, considering that strict time restrictions are met. In the first phase of the work, it is shown how convergence precipitates to an evolution. This is done in a few iterations. In the second stage, exploitation was improved, giving the algorithm a better performance in convergence and feasibility. As a result, a population was used and iterations were applied with a fan algorithm and better predisposition was obtained, which occurs in asynchronous processes while scheduling in real time.
Źródło:
Applied Computer Science; 2023, 19, 2; 43-54
1895-3735
2353-6977
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Beam Pattern Optimization Via Unequal Ascending Clusters
Autorzy:
Abdulqader, Ahmed Jameel
Mohammed, Jafar Ramadhan
Ali, Yessar E. Mohammad
Powiązania:
https://bibliotekanauki.pl/articles/2200966.pdf
Data publikacji:
2023
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
beam pattern
clustered array
genetic algorithm
sidelobes
Opis:
In this paper, two different architectures based on completely and sectionally clustered arrays are proposed to improve the array patterns. In the wholly clustered arrays, all elements of the ordinary array are divided into multiple unequal ascending clusters. In the sectionally clustered arrays, two types of architectures are proposed by dividing a part of the array into clusters based on the position of specific elements. In the first architecture of sectionally clustered arrays, only those elements that are located on the sides of the array are grouped into unequal ascending clusters, and other elements located in the center are left as individual and unoptimized items (i.e. uniform excitation). In the second architecture, only some of the elements close the center are grouped into unequal ascending clusters, and the side elements were left individually and without optimization. The research proves that the sectionally clustered architecture has many advantages compared to the completely clustered structure, in terms of the complexity of the solution. Simulation results show that PSLL in the side clustered array can be reduced to more than −28 dB for an array of 40 elements. The PSLL was −17 dB in the case of a centrally clustered array, whereas the complexity percentage in the wholly clustered array method was 12 .5 %, while the same parameter for the partially clustered array method equaled 10%.
Źródło:
Journal of Telecommunications and Information Technology; 2023, 1; 1--7
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Brain tumor classification in MRI imagesusing genetic algorithm appended CNN
Autorzy:
Balamurugan, Thiyagu
Gnanamanoharan, E.
Powiązania:
https://bibliotekanauki.pl/articles/38703164.pdf
Data publikacji:
2023
Wydawca:
Instytut Podstawowych Problemów Techniki PAN
Tematy:
deep learning
convolutional neural networks
EfficientNetB3
genetic algorithm
brain tumor classification
głęboka nauka
splotowe sieci neuronowe
algorytm genetyczny
klasyfikacja nowotworów mózgu
Opis:
Brain tumors are fatal for majority of the patients, the different nature of the tumorcells requires the use of combined medical measures, and categorizing such tumors isa difficult task for radiologists. The diagnostic structures based on PCs have been offeredas an aid in diagnosing a brain tumor using magnetic resonance imaging (MRI). Generalfunctions are retrieved from the lowest layers of the neural network, and these lowestlayers are responsible for capturing low-level features and patterns in the raw input data,which can be particularly unique to the raw image. To validate this, the EfficientNetB3pre-trained model is utilized to classify three types of brain tumors: glioma, meningioma,and pituitary tumor. Initially, the characteristics of several EfficientNet modules are takenfrom the pre-trained EfficientNetB3 version to locate the brain tumor. Three types of braintumor datasets are used to assess each approach. Compared to the existing deep learningmodels, the concatenated functions of EfficientNetB3 and genetic algorithms give betteraccuracy. Tensor flow 2 and Nesterov-accelerated adaptive moment estimation (Nadam)are also employed to improve the model training process by making it quicker and better.The proposed technique using CNN attains an accuracy of 99.56%, a sensitivity of 98.9%,a specificity of 98.6%, an F-score of 98.9%, a precision of 98.9%, and a recall of 99.54%.
Źródło:
Computer Assisted Methods in Engineering and Science; 2023, 30, 3; 305-321
2299-3649
Pojawia się w:
Computer Assisted Methods in Engineering and Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Calculation strength optimum of surgical robot effector for mechanical eigenproblems using FEM and genetic algorithm
Autorzy:
Ilewicz, Grzegorz
Powiązania:
https://bibliotekanauki.pl/articles/24201993.pdf
Data publikacji:
2023
Wydawca:
Politechnika Poznańska. Instytut Mechaniki Stosowanej
Tematy:
surgical robot
resonance phenomena
elastic buckling
optimization
genetic algorithm
FEM
robot chirurgiczny
zjawisko rezonansu
wyboczenie sprężyste
optymalizacja
algorytm genetyczny
MES
Opis:
It is essential to check whether the surgical robot end effector is safe to use due to phenomena such as linear buckling and mechanical resonance. The aim of this research is to build an multi criteria optimization model based on such criteria as the first natural frequency, buckling factor and mass, with the assumption of the basic constraint in the form of a safety factor. The calculations are performed for a serial structure of surgical robot end effector with six degrees of freedom ended with a scalpel. The calculation model is obtained using the finite element method. The issue of multi-criteria optimization is solved based on the response surface method, Pareto fronts and the genetic algorithm. The results section illustrates deformations of a surgical robot end effector occurring during the resonance phenomenon and the buckling deformations for subsequent values of the buckling coefficients. The dependencies of the geometrical dimensions on the criteria are illustrated with the continuous functions of the response surface, i.e. metamodels. Pareto fronts are illustrated, based on which the genetic algorithm finds the optimal quantities of the vector function. The conducted analyzes provide a basis for selecting surgical robot end effector drive systems from the point of view of their generated inputs.
Źródło:
Vibrations in Physical Systems; 2023, 34, 1; art. no. 2023106
0860-6897
Pojawia się w:
Vibrations in Physical Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Development, integrative study and research prospects of Deschampsia antarctica collection
Autorzy:
Kunakh, Viktor
Twardovska, Maryana
Andreev, Igor
Drobyk, Nadia
Navrotska, Daria
Nuzhyna, Nataliia
Poronnik, Oksana
Konvalyuk, Iryna
Myryuta, Ganna
Ivannikov, Roman
Parnikoza, Ivan
Powiązania:
https://bibliotekanauki.pl/articles/16648071.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
Antarctic
in vitro plants
karyotype
genetic variability
nuclear DNA content
biologically active substances
Opis:
This review presents the results of multi-year efforts for the development and integral investigation of the collection of Deschampsia antarctica É. Desv. plants originated from the maritime Antarctic. To create the collection, we have optimized the procedures and conditions for germination of seeds and generation of aseptic plants in vitro together with their subsequent clonal propagation, long-term in vitro culture, and acclimatization of plants to pot culture, and finally produced fertile plants able to set viable seeds. The collection of plants cultivated in vitro and in pots is consisted of clones of 22 different genotypes originated from eight island populations from the Argentine Islands – Kyiv Peninsula region. Some of these clones have been successfully cultured for more than ten years and were found to be genetically stable over this period. The collection was shown to be heterogeneous in a number of variables. The morphological and anatomical characteristics of the plants, as well as the data of karyological, molecular cytogenetic, molecular genetics, and biochemical analysis are presented. The created collection of D. antarctica plants can provide a valuable plant material with well-studied characteristics grown under controlled conditions to perform experimental research on the mechanisms for plant adaptation and resistance to various abiotic factors of Antarctic environment. Furthermore, development of the collection and its comprehensive characterization form the basis for further biotechnological developments focused on the use of this Antarctic plant as a source of biologically active substances, which can potentially be used for therapeutic and prophylactic purposes.
Źródło:
Polish Polar Research; 2023, 44, 1; 41-68
0138-0338
2081-8262
Pojawia się w:
Polish Polar Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Diversity of Nicotiana species
Autorzy:
Depta, Anna
Doroszewska, Teresa
Powiązania:
https://bibliotekanauki.pl/articles/37242111.pdf
Data publikacji:
2023
Wydawca:
Instytut Uprawy Nawożenia i Gleboznawstwa – Państwowy Instytut Badawczy
Tematy:
Nicotiana
tobacco
morphological diversity
genetic variation
collection
Opis:
The genus Nicotiana is one of the largest in the Solanaceae family and includes more than 80 species. The most well-known and widespread species of the genus Nicotiana is tobacco (Nicotiana tabacum), within which there are numerous cultivars. Tobacco is one of the most important industrial plants in Poland and worldwide. The great diversity within the genus makes it an excellent source of variation in a narrowing gene pool and can be used in breeding programmes. Studies of Nicotiana species also concern mechanisms of polyploidisation and evolution. There are also model species within the genus. However, in order to make full use of the collected germplasm resources, a detailed knowledge of the collection materials is necessary. While there are various reports in the international literature describing specific issues, the aim of this paper is to indicate the diversity of species in the genus Nicotiana as a whole on the basis of our own research and available studies. This review covers the characterisation of the genus Nicotiana in terms of origin and geographical distribution, as well as cytogenetic and molecular differences between species. An important aspect is the presentation of the morphological diversity of Nicotiana accessions and the variation in the most important tobacco alkaloids. A very important issue is the resistance of Nicotiana species to bacterial, fungal and viral diseases, which allows their use in resistance breeding.
Źródło:
Polish Journal of Agronomy; 2023, 52; 123-135
2081-2787
Pojawia się w:
Polish Journal of Agronomy
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 1238

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