Murat Tunc | Plant Breeding | Best Researcher Award

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Dr Murat Tunc |  Plant Breeding |  Best Researcher Award

Research Assistant at  Harran University,  Turkey

Murat Tunç is a Research Assistant in the Department of Field Crops at the Faculty of Agriculture, Harran University. His research interests include field crop management and agricultural sustainability. He is involved in various research projects aimed at enhancing crop production techniques and promoting sustainable agricultural practices. With hands-on experience in agricultural research, Murat is dedicated to improving crop yield and efficiency.

Profile:

Academic Qualifications:

  • PhD (2021): Arable Crops – Dicle University, Institute of Science
    Thesis: Comparison of Yield and Yield Components in Chickpea (Cicer arietinum L.) F2 Crosses
  • Master’s Degree (2021): Arable Crops – Dicle University, Institute of Science
  • Bachelor’s Degree (2019): Arable Crops – Dicle University, Faculty of Agriculture

Research Interests:

Murat Tunç’s research focuses on chickpea (Cicer arietinum L.) yield and its response to abiotic and biotic stress factors, with a particular interest in alternative weed control methods, fertilization strategies, and sustainable agricultural practices in legume breeding.

Academic Positions & Responsibilities:

  • Research Assistant: Harran University, Department of Field Crops, Faculty of Agriculture
    January 2021 – Present
  • Member of several academic committees, including the Accreditation Commission and Web Page Preparation Commission.

Publication Top Notes:

  1. Minerals, vitamins, protein and amino acids in wild Cicer species and pure line chickpea genotypes selected from a local population
    S Ipekesen, F Basdemir, M Tunc, BT Bicer
    Journal of Elementology 27 (1), 15 (2022)
  2. Bazı Bakla (Vicia faba L.) Çeşitlerinde Gübre Uygulamalarının Verim ve Verim Unsurlarına Etkisi
    F Başdemir, Z Türk, S İpekeşen, M Tunç, S Eliş, B Bicer
    Türk Tarım ve Doğa Bilimleri Dergisi 7 (3), 749-756 (2020)
  3. Effect of different fertilizer forms on yield and yield components of chickpea varieties
    S Eliş, S İpekeşen, F Başdemir, M Tunç, B Bicer
    International Journal of Agriculture Environment and Food Sciences 4 (2) (2020)
  4. EFFECTS OF COW MANURE AND LIQUID VERMICOMPOST APPLICATIONS ON GROWTH AND SEED YIELD OF DRY BEANS
    F Basdemir, S Ipekesen, M Tunc, S Elis, B Bicer
    Journal of Elementology 27 (4) (2022)
  5. Organik ve inorganik azotlu gübre uygulamalarının farklı dönemlerde bezelyenin verim kriterlerine etkisi
    S İpekeşen, M Tunç, S Eliş, F Başdemir, B Bicer
    Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi 25 (1), 41-48 (2020)
  6. CULTIVATION POSSIBILITIES OF SOME COMMON BEANS VARIETIES UNDER SECOND CROP CONDITIONS
    M Tunç, BT Biçer, Z Türk
    Cercetări Agronomice în Moldova (2020)
  7. The effect of fertilizer treatment on plant traits of faba bean in pre-blooming and full blooming periods under greenhouse conditions
    F Basdemir, Z Turk, S Elis, M Tunç, S Ipekesen, B Tuba
    (2020)
  8. Fertilization Strategies and Practices: A Study on Lentil
    T Murat, SB RUFAİOĞLU
    MAS Journal of Applied Sciences 9 (3), 537-551 (2024)
  9. Sustainable Agriculture Approaches in Legumes
    SB RUFAİOĞLU, T Murat
    ISPEC JOURNAL OF SCIENCE INSTITUTE 3 (1), 38-52 (2024)
  10. Effect Of Fertilizer Treatments On Plant Characteristics In Chickpea Varieties In Pre-Flowering And Full-Flowering Periods
    S İPEKESEN, E Savaş, F BASDEMIR, E Sevas, T Murat, BT BICER
    MAS Journal of Applied Sciences 6 (4), 1034–1044-1034–1044 (2021)
  11. Evaluation of the Possibility of Using Fuzzy C-Means Clustering, AMMI Analysis and GGE Biplot Methods to Predict the Yield of Chickpea Genotypes Cultivated in Different Locations
    M Tunc, SB Rufaioglu, S Ipekesen, M Yakar, L Yorulmaz, BT Bicer
    Agronomy 15 (2), 300 (2025)
  12. Zinc outperforms other foliar fertilisers in enhancing lentil yield and harvest index in semi-arid regions
    A Kahraman, M Tunc, E Ramazanoglu, V Almarie, R Sezer, F Basdemir, …
    Acta Agriculturae Scandinavica, Section B—Soil & Plant Science 74 (1), 2412767 (2024)
  13. The Effect of Alternative Weed Control Methods on Yield Parameters in Chickpea (Cicer arietinum L.)
    T Murat, S İPEKEŞEN, F BAŞDEMİR, SB RUFAIOGLU
    MAS Journal of Applied Sciences 9 (4), 1120-1129 (2024)
  14. The Comparison Yield Performance of Chickpea Genotypes Grown in Different Locations by the GGE Biplot Method
    S İPEKEŞEN, T Murat, SB RUFAIOGLU, BT BİÇER
    MAS Journal of Applied Sciences 9 (4), 1048-1058 (2024)
  15. Machine Learning in Legume Breeding: Modelling Genotype and Environment Interactions
    S İPEKEŞEN, SB RUFAIOGLU, T Murat, BT BİÇER
    Ejons International Journal on Mathematic, Engineering and Natural Sciences (2024)
  16. Modelling Strategies in Plant Breeding Studies
    T Murat, SB RUFAİOĞLU
    EJONS INTERNATIONAL JOURNAL 8 (4), 464-474 (2024)
  17. EFFECT OF ORGANIC AND INORGANIC FERTILIZER DOSES ON YIELD AND YIELD COMPONENTS OF COMMON BEANS
    M Tunc, S Ipekesen, F Basdemir, C Akinci, BT Bicer
    JAPS: Journal of Animal & Plant Sciences 33 (6) (2023)
  18. Tek Yıllık Yabani Nohut Genotiplerinin Agronomik ve Morfolojik Özelliklerinin Biplot Analiz Yöntemi ile Değerlendirilmesi
    F Başdemir, S İpekeşen, M Tunç, L Turan, A Kahraman, B Bicer
    Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi 28 (2), 695-703 (2023)
  19. The Effect of Inorganic Nitrogen and Phosphorus Fertilizers, Chicken Manure and Their Combinations on Growth and Development of Common Bean (Phaseolus vulgaris L.)
    S IPEKESEN, F BASDEMIR, T Murat, E Seval, BT BICER
    MAS Journal of Applied Sciences 7 (4), 880-890 (2022)
  20. Diallel analysis in chickpea
    M Tunç, BT Biçer
    Field & Vegetable Crops Research/Ratarstvo i povrtarstvo 59 (2) (2022)

 

Moyses Nascimento | Plant breeding | Best Researcher Award

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Prof Moyses Nascimento |  Plant breeding |  Best Researcher Award

Associate Professor at  Federal University of Vicosa, Brazil

Prof. Moysés Nascimento is an Associate Professor in the Department of Statistics at the Federal University of Viçosa, Brazil. He holds a Ph.D. in Statistics and Agricultural Experimentation from the Federal University of Lavras (UFLA), Brazil. His research interests focus on statistical methods applied to agriculture, bioinformatics, and genomic selection, with significant expertise in cluster analysis and Monte Carlo Markov Chains.

 

Publication Profile

Academic Background:

  • Ph.D. in Statistics and Agricultural Experimentation (2011), Federal University of Lavras (UFLA), Brazil
  • M.S. in Applied Statistics and Biometry (2009), Federal University of Viçosa (UFV), Brazil
  • B.S. in Statistics (2007), Federal University of Espírito Santo (UFES), Brazil

Professional Experience:

  • Associate Professor, Federal University of Viçosa (UFV), Brazil (2010–present)
  • Visiting Scholar, University of Florida, USA (2023–2024)
  • Research Scholar, North Carolina State University, USA (2016–2017)
  • Graduate Research Assistant, Federal University of Lavras and Federal University of Viçosa

Research Interests:

  • Statistical methods applied to agriculture and genomics
  • Cluster analysis, bioinformatics, and Monte Carlo Markov Chains in genetic improvement
  • Neural networks and multivariate analysis applied to agronomy

Awards & Honors:

  • 1st, 2nd, and 3rd place in the 2023 GDM 40th Anniversary Innovation Award
  • Emerald Literati Award (2019) for the paper on craft beer consumer market characterization
  • Best Paper Award, International Symposium on Genetics and Plant Breeding (2021)
  • Best Master’s Paper, Brazilian Region of the International Biometrics Society (2008)

Citations :

  • Citations (All): 2,229
  • Citations (Since 2019): 1,643
  • h-index (All): 26
  • h-index (Since 2019): 21
  • i10-index (All): 68
  • i10-index (Since 2019): 58

Publication Top Notes

  1. Characterization of the consumer market and motivations for the consumption of craft beer
    NB Carvalho, LA Minim, M Nascimento, GHC Ferreira, VPR Minim
    British Food Journal, 120(2), 378-391 (2018)
  2. Avaliação do coeficiente de variação experimental para caracteres de frutos de pimenteiras
    AR Silva, PR Cecon, ER Rêgo, M Nascimento
    Revista Ceres, 58, 168-171 (2011)
  3. Artificial neural networks for adaptability and stability evaluation in alfalfa genotypes
    M Nascimento, LA Peternelli, CD Cruz, ACC Nascimento, RP Ferreira, …
    Crop Breeding and Applied Biotechnology, 13, 152-156 (2013)
  4. Alteração no método centroide de avaliação da adaptabilidade genotípica
    M Nascimento, CD Cruz, ACM Campana, RS Tomaz, CC Salgado, …
    Pesquisa Agropecuária Brasileira, 44, 263-269 (2009)
  5. Neural networks for predicting breeding values and genetic gains
    GN Silva, RS Tomaz, IC Sant’Anna, M Nascimento, LL Bhering, CD Cruz
    Scientia Agricola, 71, 494-498 (2014)
  6. Multi-trait multi-environment models in the genetic selection of segregating soybean progeny
    L Volpato, RS Alves, PE Teodoro, MD Vilela de Resende, M Nascimento, …
    PloS One, 14(4), e0215315 (2019)
  7. Technical efficiency of milk production in Minas Gerais: an application of quantile regression
    ACC Nascimento, JE Lima, MJ Braga, M Nascimento, AP Gomes
    Revista Brasileira de Zootecnia, 41, 783-789 (2012)
  8. Adaptability and stability based on nonparametric regression in coffee genotypes
    M Nascimento, A Ferreira, RG Ferrão, ACM Campana, LL Bhering, …
    Pesquisa Agropecuária Brasileira, 45, 41-48 (2010)
  9. Métodos estatísticos
    PR Cecon, AR Silva, M Nascimento, A Ferreira
    Viçosa: Editora UFV (2012)
  10. Quantitative sensory description using the Optimized Descriptive Profile: Comparison with conventional and alternative methods for evaluation of chocolate
    RC dos Santos Navarro, VPR Minim, JDS Carneiro, M Nascimento, …
    Food Quality and Preference, 30(2), 169-179 (2013)
  11. A discriminant function for validation of the cluster analysis and behavioral prediction of the coffee market
    NB Carvalho, VPR Minim, M Nascimento, MCTR Vidigal, MAM Ferreira, …
    Food Research International, 77, 400-407 (2015)
  12. Genomic prediction of leaf rust resistance to Arabica coffee using machine learning algorithms
    IC Sousa, M Nascimento, GN Silva, ACC Nascimento, CD Cruz, …
    Scientia Agricola, 78, e20200021 (2020)
  13. Impact of energy restriction during late gestation on the muscle and blood transcriptome of beef calves after preconditioning
    LP Sanglard, M Nascimento, P Moriel, J Sommer, M Ashwell, MH Poore, …
    BMC Genomics, 19, 1-18 (2018)
  14. Quantile regression for genome-wide association study of flowering time-related traits in common bean
    M Nascimento, ACC Nascimento, FF Silva, LD Barili, NM Vale, …
    PLoS One, 13(1), e0190303 (2018)
  15. Abordagem bayesiana para avaliação da adaptabilidade e estabilidade de genótipos de alfafa
    M Nascimento, FF Silva, T Sáfadi, ACC Nascimento, RP Ferreira, …
    Pesquisa Agropecuária Brasileira, 46, 26-32 (2011)
  16. Independent Component Analysis (ICA) based-clustering of temporal RNA-seq data
    M Nascimento, FF Silva, T Safadi, ACC Nascimento, TEM Ferreira, …
    PLoS One, 12(7), e0181195 (2017)
  17. Perspectiva bayesiana na seleção de genótipos de feijão-caupi em ensaios de valor de cultivo e uso
    PE Teodoro, M Nascimento, FE Torres, LMA Barroso, E Sagrilo
    Pesquisa Agropecuária Brasileira, 50(10), 878-885 (2015)
  18. Superiority of artificial neural networks for a genetic classification procedure
    IC Sant’Anna, RS Tomaz, GN Silva, M Nascimento, LL Bhering, CD Cruz
    Genetics and Molecular Research (2015)
  19. Recommendation of Coffea arabica genotypes by factor analysis
    IP Barbosa, WG da Costa, M Nascimento, CD Cruz, ACB de Oliveira
    Euphytica, 215, 1-10 (2019)
  20. Genotype-environment interaction in common bean cultivars with carioca grain, recommended for cultivation in Brazil in the last 40 years
    LD Barili, NM Vale, AL Prado, JES Carneiro, FF Silva, M Nascimento
    Crop Breeding and Applied Biotechnology, 15(04), 244-250 (2015)