Laxuman | Crop Science & Breeding | Research Excellence Award

Research Excellence Award

Laxuman — Zonal Agricultural Research Station, India

Laxuman
Affiliation Zonal Agricultural Research Station
Country India
Scopus ID 57219602798
Documents 21
Citations 117
h-index 5
Subject Area Crop Science & Breeding
Event Agri Scientist Awards
ORCID 0000-0002-0893-2043

Laxuman is a researcher affiliated with the Zonal Agricultural Research Station in India whose scholarly profile is associated with crop science and breeding. The available bibliometric information records 21 documents, 117 citations, and an h-index of 5. His research profile is considered here in relation to agricultural research, crop improvement, breeding, and related scientific applications. The article presents a neutral academic overview of his documented research indicators and their relevance to the Agri Scientist Awards, without treating bibliometric measures alone as definitive evidence of research quality.

Abstract

Laxuman is an agricultural researcher affiliated with the Zonal Agricultural Research Station, India, with a scholarly profile centered on crop science and breeding. His indexed record comprises 21 documents, 117 citations, and an h-index of 5, providing measurable indicators of research visibility and scholarly engagement. His work is considered within the broader context of crop improvement, breeding research, agricultural productivity, and scientific knowledge development. This article evaluates his documented research profile and its relevance to recognition through the Agri Scientist Awards. The assessment remains evidence-based, emphasizing published research, bibliometric indicators, subject alignment, and verifiable academic profiles.

Keywords

Crop science; crop breeding; plant breeding; crop improvement; agricultural research; genetic improvement; varietal development; agronomy; breeding technology; agricultural productivity; plant genetics; crop diversity; sustainable agriculture; yield improvement; agricultural innovation; germplasm evaluation; trait selection; breeding strategies; crop performance; scientific research.

Introduction

Laxuman represents a research profile situated within agricultural science, particularly crop science and breeding, disciplines that contribute to improving crop performance and agricultural sustainability. His documented affiliation with the Zonal Agricultural Research Station provides an institutional context for applied agricultural research. Bibliographic databases such as Scopus provide standardized indicators for evaluating scholarly publication and citation activity. [1]

Research Profile

Laxuman has a recorded Scopus author identifier of 57219602798 and an indexed publication record comprising 21 documents, 117 citations, and an h-index of 5. These indicators provide a quantitative description of his scholarly visibility but should be interpreted alongside publication quality, research relevance, collaboration, and contribution to agricultural knowledge. His ORCID identifier supports persistent researcher identification across scholarly systems. [2]

Research Contributions

Laxuman is associated with crop science and breeding, a field concerned with understanding crop characteristics and developing improved plant materials. Research in this area may address genetic variation, selection, crop performance, productivity, and adaptation. His documented scholarly profile therefore aligns with agricultural research objectives involving crop improvement and scientific support for farming systems and food production.[3]

Publications

Laxuman has 21 documents recorded in the supplied Scopus profile, indicating a sustained body of indexed scholarly output. The available information does not provide individual publication titles, journals, publication years, or DOI identifiers; therefore, specific articles are not attributed here without independent bibliographic verification. Publication-level assessment should consider research originality, methodological rigor, journal quality, citations, and relevance to crop science and breeding. [1]

Research Impact

Laxuman has accumulated 117 citations and an h-index of 5 according to the supplied research profile. These measures indicate that multiple publications have received scholarly attention within indexed literature, although citation counts vary across disciplines, databases, publication ages, and research communities. ORCID and other researcher profiles can additionally assist in distinguishing scholarly outputs and maintaining accurate attribution. [2]

Award Suitability

Laxuman demonstrates several characteristics relevant to consideration for the Agri Scientist Awards, including an identifiable agricultural research affiliation, indexed scholarly publications, citation activity, and specialization in crop science and breeding. These indicators establish subject-area alignment with agricultural scientific recognition. Final award suitability, however, should be determined by the award organizers using their official eligibility criteria and evaluation procedures. [4]

Conclusion

Laxuman has a documented research profile in crop science and breeding, supported by 21 indexed documents, 117 citations, and an h-index of 5. His affiliation with the Zonal Agricultural Research Station further situates his work within agricultural research. The available indicators provide a useful basis for academic recognition, while comprehensive evaluation should also consider publication quality, originality, practical relevance, and broader contributions to crop improvement and agricultural science.

References

  1. Elsevier. (n.d.). Scopus author details: Laxuman, Author ID 57219602798. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57219602798
  2. ORCID. (n.d.). Laxuman, ORCID iD 0000-0002-0893-2043. ORCID.
    https://orcid.org/0000-0002-0893-2043
  3. Google Scholar. (n.d.). Scholar profile for Laxuman. Google Scholar.
    https://scholar.google.com/citations?user=8hoB8hUAAAAJ&hl=en&authuser=1
  4. Agri Scientist Awards. (n.d.). Official award information and program website.
    https://agriscientist.org/
  5. ResearchGate. (n.d.). Laxuman Chinchole research profile. ResearchGate.
    https://www.researchgate.net/profile/Laxuman-Chinchole-2

Matheus Massariol Suela | Crop Science | Best Researcher Award

Mr Matheus Massariol Suela |  Crop Science |  Best Researcher Award

PhD Candidate at  Federal University of Viçosa (UFV)/University of Florida (UF), United States

Matheus Massariol Suela is a Ph.D. candidate in Genetics and Breeding based in Viçosa, Brazil. A Brazilian national born on March 22, 1997, Matheus is a dedicated researcher with a focus on quantitative genetics. His expertise includes applying statistical methods in Genome-Wide Association Studies (GWAS) and Genomic Selection (GWS), key approaches in understanding genetic variation and improving breeding programs.

Profile:

Education:

  • Ph.D. in Genetics and Breeding (July 2021 – Present), Federal University of Viçosa
    Project: Structural Equation Models for genome-wide studies in Glycine max and Coffea arabica.
  • Sandwich Ph.D. Period (May 2024 – Present), University of Florida
    Focus: Quantitative genetics for blueberry and coffee breeding, with Ph.D. Patricio Muñoz and Ph.D. Felipe Ferrão.
  • M.Sc. in Genetics and Breeding (March 2020 – June 2021), Federal University of Viçosa
  • B.Sc. in Agronomy (March 2015 – December 2019), Federal University of Viçosa
  • Agricultural Technician (March 2012 – December 2014), Federal Institute of Espírito Santo – Campus Itapina

Research and Professional Experience:

  • Extensive experience in genome-wide association studies (GWAS) and genomic selection (GWS) using Structural Equation Models (SEM) and Bayesian networks.
  • Currently researching and implementing advanced genetic approaches in blueberry and coffee breeding.
  • Internship and project participation in agronomic and breeding-focused programs, including Agroconsult’s Harvest Rally and research on traits in rice, soy, and coffee.

Computational Skills:

  • Programming: Advanced R, Intermediate C, Basic Python
  • Data Analysis Tools: Power BI, Office Suite (Excel, Word, PowerPoint)
  • Developed Software: ECERSEM-AdaptStab (Structural Equation Models for adaptability and stability analysis in crop breeding)

Awards and Recognitions:

  • 2nd Place – GDM Innovation Award 40 years, 2023
  • Silver Medal – Presidente Arthur da Silva Bernardes for academic performance in Agronomy, 2020
  • 2nd Place – Brazilian Agricultural Olympics, 2014

Publication Top Notes 📚

  1. Integrating Environmental Covariates into Adaptability and Stability Analyses: A Structural Equation Modeling Approach for Cotton Breeding
    Agriculture, 2024-10-28 | DOI: 10.3390/agriculture14111914
  2. Updating knowledge in estimating the genetics parameters: Multi-trait and Multi-Environment Bayesian analysis in rice
    Scientia Agricola, 2023 | DOI: 10.1590/1678-992x-2022-0056
  3. Genome-wide association study for morphological, physiological, and productive traits in Coffea arabica using structural equation models
    Tree Genetics & Genomes, 2023-06 | DOI: 10.1007/s11295-023-01597-8
  4. Regional heritability mapping and genome‐wide association identify loci for rice traits
    Crop Science, 2022-03 | DOI: 10.1002/csc2.20706
  5. Structural equation models for genome-wide association study in Coffea arabica
    2021-07-27 | DOI: 10.47328/ufvbbt.2021.164
  6. Combined index of genomic prediction methods applied to productivity
    Ciência Rural, 2019 | DOI: 10.1590/0103-8478cr20181008
  7. New insights into genomic selection through population-based non-parametric prediction methods
    Scientia Agricola, 2019-07 | DOI: 10.1590/1678-992x-2017-0351

 

Hamid Hatami Maleki | Plant breeding | Best Researcher Award

Assoc Prof Dr  Hamid Hatami Maleki | Plant breeding | Best Researcher Award

Author at  university of Maragheh,  Iran

Dr. Hamid Hatami Maleki is an accomplished Iranian plant breeder and geneticist. Born on September 21, 1981, he obtained his B.Sc. in Agronomy and Plant Breeding from the University of Mohaghegh Ardabili in 2004, followed by an M.Sc. in Plant Breeding from the University of Guilan in 2007. His thesis focused on the karyological study of Aegilops species from Iran under the supervision of Rasool Asghari Zakaria.

Profile:

🎓 Education

Ph.D. in Plant Breeding, Tarbiat Modares University, Tehran, Iran, 2011. M.Sc. in Plant Breeding, University of Guilan, Rasht, Iran, 2007. B.Sc. in Agronomy and Plant Breeding, University of Mohaghegh Ardabili, Ardabil, Iran, 2004

🔬 Research Experience

Research Visitor at INRA, Toulouse, France, 2011-2012. Research Visitor at Omer Halisdemir University, Nigde, Turkey, 2023

💼 Skills

  • Field trial design and analysis
  • Phenotyping for abiotic and biotic stresses
  • Construction of mapping populations
  • QTL mapping and GWA analysis

Hamid Hatami Maleki is a seasoned plant breeder with expertise in stress resistance and genomic analysis. His research focuses on understanding genetic variability and mapping genomic regions controlling important traits in various plant species. He holds a Ph.D. in Plant Breeding from Tarbiat Modares University and has conducted research visits in France and Turkey. With a strong background in field trials and phenotyping, he contributes significantly to advancements in plant science.

Plant Breeding Research Focus:

Hamid Hatami Maleki, an Iranian citizen, is deeply immersed in the field of plant breeding. His research, conducted at the Department of Plant Production and Genetics, Faculty of Agriculture, University of Maragheh, Iran, centers around enhancing agricultural productivity and resilience through innovative breeding techniques. With a keen eye on addressing global food security challenges, he specializes in: Genetic Variability Analysis: Hamid explores the diverse genetic makeup of plant species, unraveling the intricacies of their genomes to identify valuable traits and potential breeding targets. Stress Resistance: Recognizing the paramount importance of stress tolerance in modern agriculture, Hamid investigates plant responses to various environmental stressors. His work aims to develop crop varieties capable of withstanding harsh conditions, such as drought, salinity, and extreme temperatures. Genomic Analysis and Mapping: Leveraging cutting-edge genomic tools, Hamid delves into the molecular mechanisms underlying desirable traits. By employing advanced mapping techniques, he elucidates the genetic architecture of complex traits, paving the way for precision breeding strategies. Hamid Hatami Maleki’s dedication to plant breeding research embodies a commitment to sustainable agriculture and a vision for a more resilient food system in Iran and beyond.

Citations:

 

  • Total Citations: 899
  • Citations Since 2019: 540

🔍 h-index

  • h-index: 16
  • h-index Since 2019: 12

🔬 i10-index

  • i10-index: 22
  • i10-index Since 2019: 15

Publication Top Notes:

  1. Flavonoids profile and antioxidant activity in flowers and leaves of hawthorn species (Crataegus spp.) from different regions of IranCitations: 111
    Year: 2018
  2. Evaluation of the reaction of sunflower inbred lines and their F1 hybrids to drought conditions using various stress tolerance indicesCitations: 74
    Year: 2010
  3. Path Analysis of the Relationships between Yield and Some Related Traits in Diallel Population of Sunflower (‘Helianthus annuus’ L.) under Well-Watered and Water-Stressed …Citations: 64
    Year: 2011
  4. Collection, evaluation and classification of Iranian confectionary sunflower (Helianthus annuus L.) populations using multivariate statistical techniquesCitations: 62
    Year: 2011
  5. Molecular characterization and similarity relationships among sunflower (Helianthus annuus L.) inbred lines using some mapped simple sequence repeatsCitations: 48
    Year: 2010
  6. Evaluation of Genetic Diversity Among Iranian Apple (‘Malus× domestica’Borkh.) Cultivars and Landraces Using Simple Sequence Repeat MarkersCitations: 43
    Year: 2011
  7. Influence of exogenous polyamines on antioxidant defence and essential oil production in valerian (Valeriana officinalis L.) plants under drought stressCitations: 39
    Year: 2016
  8. Correlation and sequential path analysis of some agronomic traits in tobacco (‘Nicotiana tabaccum’L.) to improve dry leaf yieldCitations: 39
    Year: 2011
  9. Genetic variation in oriental tobacco (Nicotiana tabacum L.) by agro-morphological traits and simple sequence repeat markersCitations: 35
    Year: 2013