Hybrid × location interaction in a maize early testing using factor analytic approach
Аутори
Stanisavljević, DušanZorić, Miroslav
Mitrović, Bojan
Babić, Milosav
Čanak, Petar
Vujošević, Bojana
Perišić, Milica
Šumaruna, Maja
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
In early stages of maize breeding program, large number of new genotypes are 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 are grown in a 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.
Кључне речи:
grain yield / yield stability / yield / stability / maize / breeding / early testing / hybrid × location interaction / factor analytic modelИзвор:
Book of abstracts, 12th International Scientific Agriculture Symposium "Agrosym 2021", Jahorina, 7-10 October 2021, 2021, 201-201Издавач:
- East Sarajevo : University of East Sarajevo, Faculty of Agriculture
Колекције
Институција/група
FiVeRTY - CONF AU - Stanisavljević, Dušan AU - Zorić, Miroslav AU - Mitrović, Bojan AU - Babić, Milosav AU - Čanak, Petar AU - Vujošević, Bojana AU - Perišić, Milica AU - Šumaruna, Maja PY - 2021 UR - http://fiver.ifvcns.rs/handle/123456789/4239 AB - In early stages of maize breeding program, large number of new genotypes are 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 are grown in a 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 - East Sarajevo : University of East Sarajevo, Faculty of Agriculture C3 - Book of abstracts, 12th International Scientific Agriculture Symposium "Agrosym 2021", Jahorina, 7-10 October 2021 T1 - Hybrid × location interaction in a maize early testing using factor analytic approach EP - 201 SP - 201 UR - https://hdl.handle.net/21.15107/rcub_fiver_4239 ER -
@conference{ author = "Stanisavljević, Dušan and Zorić, Miroslav and Mitrović, Bojan and Babić, Milosav and Čanak, Petar and Vujošević, Bojana and Perišić, Milica and Šumaruna, Maja", year = "2021", abstract = "In early stages of maize breeding program, large number of new genotypes are 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 are grown in a 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 = "East Sarajevo : University of East Sarajevo, Faculty of Agriculture", journal = "Book of abstracts, 12th International Scientific Agriculture Symposium "Agrosym 2021", Jahorina, 7-10 October 2021", title = "Hybrid × location interaction in a maize early testing using factor analytic approach", pages = "201-201", url = "https://hdl.handle.net/21.15107/rcub_fiver_4239" }
Stanisavljević, D., Zorić, M., Mitrović, B., Babić, M., Čanak, P., Vujošević, B., Perišić, M.,& Šumaruna, M.. (2021). Hybrid × location interaction in a maize early testing using factor analytic approach. in Book of abstracts, 12th International Scientific Agriculture Symposium "Agrosym 2021", Jahorina, 7-10 October 2021 East Sarajevo : University of East Sarajevo, Faculty of Agriculture., 201-201. https://hdl.handle.net/21.15107/rcub_fiver_4239
Stanisavljević D, Zorić M, Mitrović B, Babić M, Čanak P, Vujošević B, Perišić M, Šumaruna M. Hybrid × location interaction in a maize early testing using factor analytic approach. in Book of abstracts, 12th International Scientific Agriculture Symposium "Agrosym 2021", Jahorina, 7-10 October 2021. 2021;:201-201. https://hdl.handle.net/21.15107/rcub_fiver_4239 .
Stanisavljević, Dušan, Zorić, Miroslav, Mitrović, Bojan, Babić, Milosav, Čanak, Petar, Vujošević, Bojana, Perišić, Milica, Šumaruna, Maja, "Hybrid × location interaction in a maize early testing using factor analytic approach" in Book of abstracts, 12th International Scientific Agriculture Symposium "Agrosym 2021", Jahorina, 7-10 October 2021 (2021):201-201, https://hdl.handle.net/21.15107/rcub_fiver_4239 .