{"id":8211,"date":"2024-03-15T13:30:12","date_gmt":"2024-03-15T12:30:12","guid":{"rendered":"https:\/\/www.poljinos.hr\/?page_id=8211"},"modified":"2024-11-26T14:06:48","modified_gmt":"2024-11-26T13:06:48","slug":"predictive-modelling-of-agronomic-traits-in-maize-using-modern-technologies","status":"publish","type":"page","link":"https:\/\/www.poljinos.hr\/en\/internal-projects\/predictive-modelling-of-agronomic-traits-in-maize-using-modern-technologies\/","title":{"rendered":"Predictive modelling of agronomic traits in maize using modern technologies"},"content":{"rendered":"

Full project title<\/strong><\/p>\n

Predictive modelling of agronomic traits in maize using modern technologies<\/p>\n

Project acronym<\/strong><\/p>\n

MASK<\/p>\n

Lead researcher<\/strong><\/p>\n

Andrija Brki\u0107, PhD, Senior Scientific Associate<\/p>\n

Project team members<\/strong><\/p>\n

    \n
  1. Antun Jambrovi\u0107, PhD, Senior Scientific Adviser, Agricultural Institute Osijek<\/li>\n
  2. Zvonimir Zduni\u0107, PhD, EMBA, Senior Scientific Adviser, Full professor, Agricultural Institute Osijek<\/li>\n
  3. Tatjana Leden\u010dan, PhD, Senior Scientific Adviser, Agricultural Institute Osijek<\/li>\n
  4. Josip Brki\u0107, PhD, Senior Scientific Associate, Agricultural Institute Osijek<\/li>\n
  5. Maja Mazur, PhD, Scientific Associate, Agricultural Institute Osijek<\/li>\n
  6. Vlatko Gali\u0107, PhD, Scientific Associate, Agricultural Institute Osijek<\/li>\n
  7. Miroslav Salai\u0107, BSc, Technologist<\/li>\n<\/ol>\n

    Project financing source<\/strong><\/p>\n

    National Recovery and Resilience Plan 2021-2026 within the framework of the Program Agreement with the Ministry of Science, Education and Youth<\/p>\n

    Project budget<\/strong><\/p>\n

    52.500,00 EUR<\/p>\n

    Project summary<\/strong><\/p>\n

    Maize is one of the most significant crops in the world. Utilizing the latest scientific knowledge in maize breeding is an important long-term strategy for successful maize production amid current climate changes. Improving nitrogen use efficiency in maize breeding germplasm represents a valuable option in maize production regions. The objectives of this project are to determine the combining abilities for yield and nitrogen use efficiency, develop statistical models for prediction, explore variability of hyperspectral readings and vegetative indices among genotypes and treatments, and create a comprehensive prediction model using SNP data, trial results, and selected phenotyping parameters. The anticipated contributions of this project would include the publication of at least three scientific papers in relevant journals, at least one popular science book, a project handbook, integration of results into breeding programs, i.e., development of new cultivars, and training of new staff at the institute.<\/p>\n

    Project aims<\/strong><\/p>\n

    The aim of this project is to expand knowledge about phenotypic traits that could contribute to a better understanding of nitrogen use efficiency and to assess the high-value resource of the Agricultural Institute in Osijek (genotyped collection of breeding germplasm).<\/p>\n

    1) Determine the general and specific combining abilities of inbred lines for grain yield and nitrogen use efficiency by crossing with two testers and conducting experiments with three nitrogen levels.<\/p>\n

    2) Develop statistical models to predict yield and nitrogen use efficiency using experiment results and dense genotyping data.<\/p>\n

    3) Investigate the variability of phenotypic parameters among genotypes and treatments.<\/p>\n

    4) Develop a comprehensive model to predict yield and nitrogen use efficiency using SNP data, experiment results, hyperspectral parameters, and vegetative indices, and compare it with models from the literature.<\/p>\n

    \"Funded<\/p>\n","protected":false},"excerpt":{"rendered":"

    Full project title Predictive modelling of agronomic traits in maize using modern technologies Project acronym MASK Lead researcher Andrija Brki\u0107, PhD, Senior Scientific Associate Project team members Antun Jambrovi\u0107, PhD, Senior Scientific Adviser, Agricultural Institute Osijek Zvonimir Zduni\u0107, PhD, EMBA, Senior Scientific Adviser, Full professor, Agricultural Institute Osijek Tatjana Leden\u010dan, PhD, Senior Scientific Adviser, Agricultural […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":8119,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-8211","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.poljinos.hr\/en\/wp-json\/wp\/v2\/pages\/8211","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.poljinos.hr\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.poljinos.hr\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.poljinos.hr\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.poljinos.hr\/en\/wp-json\/wp\/v2\/comments?post=8211"}],"version-history":[{"count":2,"href":"https:\/\/www.poljinos.hr\/en\/wp-json\/wp\/v2\/pages\/8211\/revisions"}],"predecessor-version":[{"id":8215,"href":"https:\/\/www.poljinos.hr\/en\/wp-json\/wp\/v2\/pages\/8211\/revisions\/8215"}],"up":[{"embeddable":true,"href":"https:\/\/www.poljinos.hr\/en\/wp-json\/wp\/v2\/pages\/8119"}],"wp:attachment":[{"href":"https:\/\/www.poljinos.hr\/en\/wp-json\/wp\/v2\/media?parent=8211"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}