IDEAS home Printed from https://ideas.repec.org/a/caa/jnlpse/v71y2025i12id337-2025-pse.html

Multi-trait evaluation of oilseed rape varieties

Author

Listed:
  • Katarzyna Waszak

    (Research Centre for Cultivar Testing, Słupia Wielka, Poland)

  • Konrad Banaś

    (Department of Mathematical and Statistical Methods, Poznań University of Life Sciences, Poznań, Poland)

  • Jacek Broniarz

    (Research Centre for Cultivar Testing, Słupia Wielka, Poland)

  • Tomasz Lenartowicz

    (Research Centre for Cultivar Testing, Słupia Wielka, Poland)

  • Henryk Bujak

    (Research Centre for Cultivar Testing, Słupia Wielka, Poland
    Department of Genetics, Plant Breeding and Seed Production, Wrocław University of Environmental and Life Sciences, Wrocław, Poland)

  • Agnieszka Łacka

    (Department of Mathematical and Statistical Methods, Poznań University of Life Sciences, Poznań, Poland)

  • Marcin Przystalski

    (Research Centre for Cultivar Testing, Słupia Wielka, Poland)

Abstract

The multifaceted nature of agricultural management and environmental factors complicates the production of winter oilseed rape (Brassica napus L.). This study evaluated 25 varieties (21 hybrids and four populations) in three growing seasons (2020/21, 2021/22 and 2022/23) in Poland. The focus was on yield, fat content, and resistance to Sclerotinia sclerotiorum. The analyses revealed significant variability among the varieties, with the hybrids performing better consistently in terms of yield and fat content. The level of resistance to Sclerotinia was similar in hybrid and population varieties. Furthermore, DK Excited was found to be the highest-yielding variety, while Duke had the highest fat content. Derrick was the most resistant to S. sclerotiorum. Advocat and Dynamic were identified as the best varieties. In the analysed series of field trials, yield was found to be affected by high temperatures and a lack of rainfall in March, June, and July. For fat content, a lack of rainfall in July was the main limiting factor.

Suggested Citation

  • Katarzyna Waszak & Konrad Banaś & Jacek Broniarz & Tomasz Lenartowicz & Henryk Bujak & Agnieszka Łacka & Marcin Przystalski, 2025. "Multi-trait evaluation of oilseed rape varieties," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 71(12), pages 860-872.
    • Handle: RePEc:caa:jnlpse:v:71:y:2025:i:12:id:337-2025-pse
    DOI: 10.17221/337/2025-PSE
    as

    Download full text from publisher

    File URL: http://pse.agriculturejournals.cz/doi/10.17221/337/2025-PSE.html
    Download Restriction: free of charge
    File URL: http://pse.agriculturejournals.cz/doi/10.17221/337/2025-PSE.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.17221/337/2025-PSE?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. U. Sienkiewicz-Cholewa & R. Kieloch, 2015. "Effect of sulphur and micronutrients fertilization on yield and fat content in winter rape seeds (Brassica napus L.)," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 61(4), pages 164-170.
    2. Waqas Ahmed Malik & Hans-Peter Piepho, 2016. "On generalized exponential transformations for proportions," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 45(19), pages 5857-5870, October.
    3. Bates, Douglas & Mächler, Martin & Bolker, Ben & Walker, Steve, 2015. "Fitting Linear Mixed-Effects Models Using lme4," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i01).
    4. Li Lin & Xingrui Zhang & Jialin Fan & Jiawei Li & Sichao Ren & Xin Gu & Panpan Li & Meiling Xu & Jingyi Xu & Wenjing Lei & Dongxiao Liu & Qinfu Sun & Guangqin Cai & Qing-Yong Yang & Youping Wang & Jia, 2024. "Natural variation in BnaA07.MKK9 confers resistance to Sclerotinia stem rot in oilseed rape," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    5. J. Buczek & W. Jarecki & D. Bobrecka-Jamro, 2016. "The response of population and hybrid wheat to selected agro-environmental factors," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 62(2), pages 67-73.
    6. Becky Tang & Henry A. Frye & Alan E. Gelfand & John A. Silander, 2023. "Zero-Inflated Beta Distribution Regression Modeling," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 28(1), pages 117-137, March.
    7. Nadia Gharechaei & Farzad Paknejad & Amir Hossein Shirani Rad & Ghasem Tohidloo & Hamid Jabbari, 2019. "Change in oil fatty acids composition of winter oilseed rape genotypes under drought stress and different temperature regimes," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 65(10), pages 503-507.
    8. Raydonal Ospina & Silvia Ferrari, 2010. "Inflated beta distributions," Statistical Papers, Springer, vol. 51(1), pages 111-126, January.
    9. Halekoh, Ulrich & Højsgaard, Søren, 2014. "A Kenward-Roger Approximation and Parametric Bootstrap Methods for Tests in Linear Mixed Models The R Package pbkrtest," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 59(i09).
    10. Vítězslav Krček & Petr Baranyk & Václav Brant & Josef Pulkrábek, 2019. "Influence of crop management on formation of yield components of winter oilseed rape," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 65(1), pages 21-26.
    11. Ospina, Raydonal & Ferrari, Silvia L.P., 2012. "A general class of zero-or-one inflated beta regression models," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1609-1623.
    12. Chib, Siddhartha, 1992. "Bayes inference in the Tobit censored regression model," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 79-99.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Becky Tang & Henry A. Frye & Alan E. Gelfand & John A. Silander, 2023. "Zero-Inflated Beta Distribution Regression Modeling," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 28(1), pages 117-137, March.
    2. Guillermo Martínez-Flórez & Artur J. Lemonte & Germán Moreno-Arenas & Roger Tovar-Falón, 2022. "The Bivariate Unit-Sinh-Normal Distribution and Its Related Regression Model," Mathematics, MDPI, vol. 10(17), pages 1-26, August.
    3. Lucio Masserini & Matilde Bini & Monica Pratesi, 2017. "Effectiveness of non-selective evaluation test scores for predicting first-year performance in university career: a zero-inflated beta regression approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(2), pages 693-708, March.
    4. Ricardo Ocaña-Riola & Carmen Pérez-Romero & Mª Isabel Ortega-Díaz & José Jesús Martín-Martín, 2021. "Multilevel Zero-One Inflated Beta Regression Model for the Analysis of the Relationship between Exogenous Health Variables and Technical Efficiency in the Spanish National Health System Hospitals," IJERPH, MDPI, vol. 18(19), pages 1-18, September.
    5. Silvia Noirjean & Mario Biggeri & Laura Forastiere & Fabrizia Mealli & Maria Nannini, 2023. "Estimating causal effects of community health financing via principal stratification," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(4), pages 1317-1350, October.
    6. Ehsan Bahrami Samani & Elham Tabrizi, 2023. "Joint Linear Modeling of Mixed Data and Its Application to Email Analysis," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 175-209, May.
    7. Murilo Wohlgemuth & Carlos Ernani Fries & Ângelo Márcio Oliveira Sant’Anna & Ricardo Giglio & Diego Castro Fettermann, 2020. "Assessment of the technical efficiency of Brazilian logistic operators using data envelopment analysis and one inflated beta regression," Annals of Operations Research, Springer, vol. 286(1), pages 703-717, March.
    8. Lenth, Russell V., 2016. "Least-Squares Means: The R Package lsmeans," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 69(i01).
    9. Sebastian Loth & Katharina Jettka & Manuel Giuliani & Stefan Kopp & Jan P de Ruiter, 2018. "Confidence in uncertainty: Error cost and commitment in early speech hypotheses," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-30, August.
    10. King, K.W. & Hanrahan, B.R. & Stinner, J. & Shedekar, V.S., 2022. "Field scale discharge and water quality response, to drainage water management," Agricultural Water Management, Elsevier, vol. 264(C).
    11. Yury R. Benites & Vicente G. Cancho & Edwin M. M. Ortega & Roberto Vila & Gauss M. Cordeiro, 2022. "A New Regression Model on the Unit Interval: Properties, Estimation, and Application," Mathematics, MDPI, vol. 10(17), pages 1-17, September.
    12. Guillermo Martínez-Flórez & Roger Tovar-Falón & Carlos Barrera-Causil, 2022. "Inflated Unit-Birnbaum-Saunders Distribution," Mathematics, MDPI, vol. 10(4), pages 1-14, February.
    13. Hildete P. Pinheiro & Rafael P. Maia & Eufrásio A. Lima Neto & Mariana Rodrigues-Motta, 2019. "Zero-one augmented beta and zero-inflated discrete models with heterogeneous dispersion for the analysis of student academic performance," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 28(4), pages 749-767, December.
    14. Gesche Janzarik & Daniel Wollschläger & Michèle Wessa & Klaus Lieb, 2022. "A Group Intervention to Promote Resilience in Nursing Professionals: A Randomised Controlled Trial," IJERPH, MDPI, vol. 19(2), pages 1-18, January.
    15. Phillip Li, 2018. "Efficient MCMC estimation of inflated beta regression models," Computational Statistics, Springer, vol. 33(1), pages 127-158, March.
    16. Jin Li & Kwok Fai Tso & Fangtao Liu, 2017. "Profit earning and monetary loss bidding in online entertainment shopping: the impacts of bidding patterns and characteristics," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(1), pages 77-90, February.
    17. Georges Dionne & Denise Desjardins, 2017. "Reinsurance Demand and Liquidity Creation," Working Papers 17-3, HEC Montreal, Canada Research Chair in Risk Management.
    18. Guillermo Martínez-Flórez & Heleno Bolfarine & Héctor Gómez, 2015. "Doubly censored power-normal regression models with inflation," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 24(2), pages 265-286, June.
    19. Jacob Bergstedt & Sadoune Ait Kaci Azzou & Kristin Tsuo & Anthony Jaquaniello & Alejandra Urrutia & Maxime Rotival & David T. S. Lin & Julia L. MacIsaac & Michael S. Kobor & Matthew L. Albert & Darrag, 2022. "The immune factors driving DNA methylation variation in human blood," Nature Communications, Nature, vol. 13(1), pages 1-20, December.
    20. Rúna Í. Magnússon & Alexandra Hamm & Sergey V. Karsanaev & Juul Limpens & David Kleijn & Andrew Frampton & Trofim C. Maximov & Monique M. P. D. Heijmans, 2022. "Extremely wet summer events enhance permafrost thaw for multiple years in Siberian tundra," Nature Communications, Nature, vol. 13(1), pages 1-10, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:caa:jnlpse:v:71:y:2025:i:12:id:337-2025-pse. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.