Factor analytic approach for the analysis of maize early testing multi-environment trials
Autori
Stanisavljević, DušanMitrović, Bojan
Babić, Milosav
Nastasić, Aleksandra
Bekavac, Goran
Šumaruna, Maja
Konferencijski prilog (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
In early stages of maize breeding program, large number of new genotypes is grown in a set of field trial locations. The best ones are identified to move to the next stage so that in the final stages of breeding program small number of superior hybrids is grown in pre-registration and post-registration field trials across set of locations. Field trials were conducted in a partially replicated design, each genotype with two replications per location at six locations in 2020. The experiments included 150 hybrids obtained by crossing different S2 progenies with an elite inbred tester. These field trials were conducted to identify the best performing genotypes using appropriate statistical model. The factor analytic (FA) model accommodates the heterogeneity of genetic variance for locations and heterogeneity of genetic covariance between pairs of locations.
Ključne reči:
grain yield / yield / stability / maize / breeding / early testing / hybrid × location interaction / factor analytic modelIzvor:
Book of Abstracts, 25th EUCARPIA Maize and Sorghum Conference "Current Challenges and New Methods for Maize and Sorghum Breeding", Belgrade, 30 May - 2 June 2022, 2022, 62-62Izdavač:
- Zemun Polje : Maize Research Institute
Kolekcije
Institucija/grupa
FiVeRTY - CONF AU - Stanisavljević, Dušan AU - Mitrović, Bojan AU - Babić, Milosav AU - Nastasić, Aleksandra AU - Bekavac, Goran AU - Šumaruna, Maja PY - 2022 UR - http://fiver.ifvcns.rs/handle/123456789/4240 AB - In early stages of maize breeding program, large number of new genotypes is grown in a set of field trial locations. The best ones are identified to move to the next stage so that in the final stages of breeding program small number of superior hybrids is grown in pre-registration and post-registration field trials across set of locations. Field trials were conducted in a partially replicated design, each genotype with two replications per location at six locations in 2020. The experiments included 150 hybrids obtained by crossing different S2 progenies with an elite inbred tester. These field trials were conducted to identify the best performing genotypes using appropriate statistical model. The factor analytic (FA) model accommodates the heterogeneity of genetic variance for locations and heterogeneity of genetic covariance between pairs of locations. PB - Zemun Polje : Maize Research Institute C3 - Book of Abstracts, 25th EUCARPIA Maize and Sorghum Conference "Current Challenges and New Methods for Maize and Sorghum Breeding", Belgrade, 30 May - 2 June 2022 T1 - Factor analytic approach for the analysis of maize early testing multi-environment trials EP - 62 SP - 62 UR - https://hdl.handle.net/21.15107/rcub_fiver_4240 ER -
@conference{ author = "Stanisavljević, Dušan and Mitrović, Bojan and Babić, Milosav and Nastasić, Aleksandra and Bekavac, Goran and Šumaruna, Maja", year = "2022", abstract = "In early stages of maize breeding program, large number of new genotypes is grown in a set of field trial locations. The best ones are identified to move to the next stage so that in the final stages of breeding program small number of superior hybrids is grown in pre-registration and post-registration field trials across set of locations. Field trials were conducted in a partially replicated design, each genotype with two replications per location at six locations in 2020. The experiments included 150 hybrids obtained by crossing different S2 progenies with an elite inbred tester. These field trials were conducted to identify the best performing genotypes using appropriate statistical model. The factor analytic (FA) model accommodates the heterogeneity of genetic variance for locations and heterogeneity of genetic covariance between pairs of locations.", publisher = "Zemun Polje : Maize Research Institute", journal = "Book of Abstracts, 25th EUCARPIA Maize and Sorghum Conference "Current Challenges and New Methods for Maize and Sorghum Breeding", Belgrade, 30 May - 2 June 2022", title = "Factor analytic approach for the analysis of maize early testing multi-environment trials", pages = "62-62", url = "https://hdl.handle.net/21.15107/rcub_fiver_4240" }
Stanisavljević, D., Mitrović, B., Babić, M., Nastasić, A., Bekavac, G.,& Šumaruna, M.. (2022). Factor analytic approach for the analysis of maize early testing multi-environment trials. in Book of Abstracts, 25th EUCARPIA Maize and Sorghum Conference "Current Challenges and New Methods for Maize and Sorghum Breeding", Belgrade, 30 May - 2 June 2022 Zemun Polje : Maize Research Institute., 62-62. https://hdl.handle.net/21.15107/rcub_fiver_4240
Stanisavljević D, Mitrović B, Babić M, Nastasić A, Bekavac G, Šumaruna M. Factor analytic approach for the analysis of maize early testing multi-environment trials. in Book of Abstracts, 25th EUCARPIA Maize and Sorghum Conference "Current Challenges and New Methods for Maize and Sorghum Breeding", Belgrade, 30 May - 2 June 2022. 2022;:62-62. https://hdl.handle.net/21.15107/rcub_fiver_4240 .
Stanisavljević, Dušan, Mitrović, Bojan, Babić, Milosav, Nastasić, Aleksandra, Bekavac, Goran, Šumaruna, Maja, "Factor analytic approach for the analysis of maize early testing multi-environment trials" in Book of Abstracts, 25th EUCARPIA Maize and Sorghum Conference "Current Challenges and New Methods for Maize and Sorghum Breeding", Belgrade, 30 May - 2 June 2022 (2022):62-62, https://hdl.handle.net/21.15107/rcub_fiver_4240 .