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)

 

Faheem shahzad Baloch | Crop Genetics | Best Researcher Award

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Prof Faheem shahzad Baloch |  Crop Genetics |  Best Researcher Award

Prof. Dr. at  Mersin University,  Turkey

Prof. Dr. Faheem Shehzad Baloch is a distinguished professor specializing in plant genetics and breeding at Mersin University, Turkey. He completed his Ph.D. in Field Crops from Çukurova University with a dissertation on QTL mapping in wheat. His research is deeply rooted in plant phenomics, genetics, genomics, and biotechnology, with a focus on next-generation sequencing (NGS) and DNA molecular markers. Dr. Faheem has extensive experience in germplasm characterization and the development of molecular markers for marker-assisted selection and genomic prediction, particularly in cereals and legumes. He has participated in numerous national and international projects and has supervised many MSc, PhD, and postdoctoral candidates from various countries.

Profile:

Education:

Ph.D. in Field Crops
Çukurova University, Institute of Applied Science, Adana, Turkey
Dissertation: QTL Mapping of Some Agronomic Traits in Bread Wheat
Supervisor: Prof. Dr. Rüştü Hatipoğlu

M.Sc. in Agronomy
Bahuddine Zakariya University, Multan, Pakistan
Thesis: Effect of Soil Applied Zinc Sulphate on Wheat
Supervisor: Prof. Dr. Muhammad Aslam Khan

B.Sc. in Agronomy
Bahuddine Zakariya University, Multan, Pakistan

Work Experience:

Professor
Mersin University, Faculty of Science, Department of Biotechnology
2024 – Present

Associate Professor
Sivas University of Science and Technology, Faculty of Agricultural Sciences and Technology
2020 – 2024

Assistant Professor
Bolu Abant Izzet Baysal University, Faculty of Agricultural and Natural Sciences, Department of Field Crops
2015 – 2020

Niğde Ömer Halis Demir University, Faculty of Agricultural Sciences and Technologies, Department of Agricultural Genetic Engineering
2013 – 2015

Awards and Recognitions:

  • Gold Medal for M.Sc. (Hons) Agronomy, Bahuddin Zakariya University
  • Cultural Exchange Scholarship for Ph.D. Studies, Turkish Govt.
  • Doctoral Fellowship, TÜBİTAK
  • Multiple Publication Prizes, TÜBİTAK
  • Travel Grants from Kirkhouse Trust and COST
  • Financial Aid from OIC-COMSTECH

Notable Publications and Projects:

  • SCI/SCIE/ESCI Articles: 112
  • Senior Author Articles: 29
  • International Book Edited: 8
  • International Book Chapters: 16
  • TÜBİTAK and other Research Projects: Numerous
  • Extensive involvement in COST actions and international collaborations

Research Focus: Crop Genetics

  • Crop Genetics and Breeding:
    • Enhancing crop performance through traditional and modern breeding techniques.
    • Developing new varieties with improved yield, disease resistance, and environmental tolerance.
  • Molecular Breeding:
    • Utilizing molecular markers to accelerate the breeding process.
    • Incorporating genetic diversity into breeding programs to enhance crop resilience.
  • Molecular Genetics:
    • Studying the genetic basis of important agronomic traits.
    • Investigating gene functions and interactions to understand trait expression.
  • Gene/QTL Tagging:
    • Identifying and mapping genes and quantitative trait loci (QTLs) associated with key agronomic traits.
    • Developing marker-assisted selection strategies for efficient breeding.
  • Agronomy:
    • Integrating genetic research with agronomic practices to optimize crop production.
    • Studying the impact of environmental factors on crop growth and development.

Citations:

Total Citations: 4516
Citations Since 2019: 3663

h-index: 35
h-index Since 2019: 31

i10-index: 90
i10-index Since 2019: 83

Publication Top Notes:

  • DNA Molecular Markers in Plant Breeding: Current Status and Recent Advancements in Genomic Selection and Genome Editing
    Citation: 860 (2018)
    Journal: Biotechnology & Biotechnological Equipment, 32(2), 261-285
    Co-authors: MA Nadeem, MA Nawaz, MQ Shahid, Y Doğan, G Comertpay, M Yıldız, …
  • A Whole Genome DArTseq and SNP Analysis for Genetic Diversity Assessment in Durum Wheat from Central Fertile Crescent
    Citation: 172 (2017)
    Journal: PLOS ONE, 12(1), e0167821
    Co-authors: A Alsaleh, MQ Shahid, V Çiftçi, L E. Sáenz de Miera, M Aasim, …
  • Effect of Soil Applied Zinc Sulphate on Wheat (Triticum aestivum L.) Grown on a Calcareous Soil in Pakistan
    Citation: 130 (2008)
    Journal: Cereal Research Communications, 36(4), 571-582
    Co-authors: M Khan, M Fuller
  • Diversity of Macro- and Micronutrients in the Seeds of Lentil Landraces
    Citation: 117 (2012)
    Journal: The Scientific World Journal, 2012(1), 710412
    Co-authors: T Karaköy, H Erdem, F Toklu, S Eker, B Kilian, H Özkan
  • Nutritional and Physicochemical Variation in Turkish Kabuli Chickpea (Cicer arietinum L.) Landraces
    Citation: 107 (2010)
    Journal: Euphytica, 175, 237-249
    Co-authors: S Özer, T Karaköy, F Toklu, B Kilian, H Özkan
  • iPBS-Retrotransposons-based Genetic Diversity and Relationship Among Wild Annual Cicer Species
    Citation: 97 (2013)
    Journal: Journal of Plant Biochemistry and Biotechnology, 22, 453-466
    Co-authors: EE Andeden, M Derya, B Kilian, H Özkan
  • Diversity Assessment of Turkish Maize Landraces Based on Fluorescent Labelled SSR Markers
    Citation: 95 (2012)
    Journal: Plant Molecular Biology Reporter, 30, 261-274
    Co-authors: G Cömertpay, B Kilian, AC Ülger, H Özkan
  • Genetic Analysis of Some Physical Properties of Bread Wheat Grain (Triticum aestivum L. em Thell)
    Citation: 90 (2009)
    Journal: Turkish Journal of Agriculture and Forestry, 33(6), 525-535
    Co-authors: C Yücel, H Özkan
  • DNA Based iPBS-retrotransposon Markers for Investigating the Population Structure of Pea (Pisum sativum) Germplasm from Turkey
    Citation: 86 (2015)
    Journal: Biochemical Systematics and Ecology, 61, 244-252
    Co-authors: A Alsaleh, LES de Miera, R Hatipoğlu, V Çiftçi, T Karaköy, …
  • Characterization of Genetic Diversity in Turkish Common Bean Gene Pool Using Phenotypic and Whole-genome DArTseq-generated SilicoDArT Marker Information
    Citation: 82 (2018)
    Journal: PLOS ONE, 13(10), e0205363
    Co-authors: MA Nadeem, E Habyarimana, V Çiftçi, MA Nawaz, T Karaköy, …