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Molecular screening of the landraces from Turkey and modern bread wheat (Triticum aestivum L.) cultivars for HMW-GS, wbm, waxy genes and Lr34 gene

Genetic resources and crop evolution, 2023-03, Vol.70 (3), p.775-788

2023

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Effect of vernalization (Vrn) genes on root angles of bread wheat lines carrying rye translocation

Cereal research communications, 2022-09, Vol.50 (3), p.367-378

2022

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Accelerated breeding strategies for biochemical marker-assisted backcross breeding and mapping population development in bread wheat (Triticum aestivum L.)

Euphytica, 2024-07, Vol.220 (7), p.116, Article 116

2024

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The Effect of Rye Translocation on Grain Yield and Agronomic Properties in the Recombinant Inbred Line Population Developed in Bread Wheat

Journal of Agricultural Faculty of Gaziosmanpasa University, 2022-08, Vol.39 (2), p.97-104

2022

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Convolutional neural network-support vector machine-based approach for identification of wheat hybrids

European food research & technology, 2024-05, Vol.250 (5), p.1353-1362

2024

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Wheat Flour Milling Yield Estimation Based on Wheat Kernel Physical Properties Using Artificial Neural Networks

International Journal of Intelligent Systems and Applications in Engineering, 2020-06, Vol.8 (2), p.78-83

2020

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Hızlı Islah Teknolojisi ve Markör Destekli Geriye Melez Yöntemiyle Hasat Öncesi Başakta Çimlenmeye Toleranslı Ekmeklik Buğday Genotiplerinin Geliştirilmesi

ÇOMÜ Ziraat Fakültesi Dergisi, 2021-12, Vol.9 (2), p.369-377

2021

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Effects of the 1RS.1BL wheat-rye translocationon kernel and bran content of bread wheat (Triticum aestivum L.)

ANADOLU JOURNAL OF AGRICULTURAL SCIENCES, 2024-01

2024

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Sağlık İletişimi ve Yapay Zekâ Kesişimindeki Yayınların Bibliyometrik İncelemesi

Akdeniz Üniversitesi İletişim Fakültesi Dergisi, 2024-04 (44), p.66-90

Sönmez, Mesut Ersin

2024

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CNN–SVM hybrid model for varietal classification of wheat based on bulk samples

European food research & technology, 2022-08, Vol.248 (8), p.2043-2052

2022

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Deep learning-based classification of microalgae using light and scanning electron microscopy images

Micron (Oxford, England : 1993), 2023-09, Vol.172, p.103506-103506, Article 103506

2023

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Enhancing microalgae classification accuracy in marine ecosystems through convolutional neural networks and support vector machines

Marine pollution bulletin, 2024-08, Vol.205, p.116616, Article 116616

2024

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Convolutional neural network - Support vector machine based approach for classification of cyanobacteria and chlorophyta microalgae groups

Algal research (Amsterdam), 2022-01, Vol.61, p.102568, Article 102568

2022

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Classification of Wheat Rootstock and Their Hybrids According to Color Features by Machine Learning Algorithms

International Journal of Applied Mathematics Electronics and Computers, 2022-06, Vol.10 (2), p.39-48

2022

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Glu-A3b allele has a significant effect on gluten quality of bread wheat in a recombinant inbred line population

Anatolian Journal of Botany, 2024-05, Vol.8 (1), p.50-59

2024

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Molecular screening of the landraces from Turkey and modern bread wheat (Triticum aestivum L.) cultivars for HMW-GS, wbm, waxy genes and Lr34 gene

Effect of vernalization (Vrn) genes on root angles of bread wheat lines carrying rye translocation

Accelerated breeding strategies for biochemical marker-assisted backcross breeding and mapping population development in bread wheat (Triticum aestivum L.)

The Effect of Rye Translocation on Grain Yield and Agronomic Properties in the Recombinant Inbred Line Population Developed in Bread Wheat

Convolutional neural network-support vector machine-based approach for identification of wheat hybrids

Wheat Flour Milling Yield Estimation Based on Wheat Kernel Physical Properties Using Artificial Neural Networks

Hızlı Islah Teknolojisi ve Markör Destekli Geriye Melez Yöntemiyle Hasat Öncesi Başakta Çimlenmeye Toleranslı Ekmeklik Buğday Genotiplerinin Geliştirilmesi

Effects of the 1RS.1BL wheat-rye translocationon kernel and bran content of bread wheat (Triticum aestivum L.)

Sağlık İletişimi ve Yapay Zekâ Kesişimindeki Yayınların Bibliyometrik İncelemesi

CNN–SVM hybrid model for varietal classification of wheat based on bulk samples

Deep learning-based classification of microalgae using light and scanning electron microscopy images

Enhancing microalgae classification accuracy in marine ecosystems through convolutional neural networks and support vector machines

Convolutional neural network - Support vector machine based approach for classification of cyanobacteria and chlorophyta microalgae groups

Classification of Wheat Rootstock and Their Hybrids According to Color Features by Machine Learning Algorithms

Glu-A3b allele has a significant effect on gluten quality of bread wheat in a recombinant inbred line population

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