Modeling of environmental causes of hybrid by sowing date interaction in sunflower: a statistical approach
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The analysis of agronomic crop trials is usually complicated by the presence of hybrid by environment interaction, In this study the effect of selected environmental variables on hybrid by sowing date interaction in sunflower, using statistical approach, were investigated. For the statistical modeling of interaction six environmental variables (minimum, maximum and mean temperatures, total precipitation, sunshine hours and relative air humidity) were used as input information in factorial regression model (FR). The calculation of environmental variables for each sowing date, were made according to approximate sunflower growth stages (six leaves, budding, flowering, physiological maturity). Three hybrids Miro, Rimi and Pobednik were grown during three vegetation periods and sown at eight sowing dates. The effects of environmental variables on the hybrid by sowing date interaction for seed yield and yield components (oil yield, oil content, 1000 seed weight) were tested.
Keywords:
environmental variables / factorial regression / growth stage / sunflowerSource:
Proceedings, 18th International Sunflower Conference, Mar del Plata & Balcare, Argentina, 27 February - 1 March 2012, 2012, 02-VC-4-Publisher:
- Paris : International Sunflower Association
Funding / projects:
- Development of new varieties and production technology improvement of oil crops for different purposes (RS-MESTD-Technological Development (TD or TR)-31025)
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FiVeRTY - CONF AU - Balalić, Igor AU - Zorić, Miroslav AU - Crnobarac, Jovan AU - Miklič, Vladimir AU - Radić, Velimir PY - 2012 UR - http://fiver.ifvcns.rs/handle/123456789/2704 AB - The analysis of agronomic crop trials is usually complicated by the presence of hybrid by environment interaction, In this study the effect of selected environmental variables on hybrid by sowing date interaction in sunflower, using statistical approach, were investigated. For the statistical modeling of interaction six environmental variables (minimum, maximum and mean temperatures, total precipitation, sunshine hours and relative air humidity) were used as input information in factorial regression model (FR). The calculation of environmental variables for each sowing date, were made according to approximate sunflower growth stages (six leaves, budding, flowering, physiological maturity). Three hybrids Miro, Rimi and Pobednik were grown during three vegetation periods and sown at eight sowing dates. The effects of environmental variables on the hybrid by sowing date interaction for seed yield and yield components (oil yield, oil content, 1000 seed weight) were tested. PB - Paris : International Sunflower Association C3 - Proceedings, 18th International Sunflower Conference, Mar del Plata & Balcare, Argentina, 27 February - 1 March 2012 T1 - Modeling of environmental causes of hybrid by sowing date interaction in sunflower: a statistical approach SP - 02-VC-4 UR - https://hdl.handle.net/21.15107/rcub_fiver_2704 ER -
@conference{ author = "Balalić, Igor and Zorić, Miroslav and Crnobarac, Jovan and Miklič, Vladimir and Radić, Velimir", year = "2012", abstract = "The analysis of agronomic crop trials is usually complicated by the presence of hybrid by environment interaction, In this study the effect of selected environmental variables on hybrid by sowing date interaction in sunflower, using statistical approach, were investigated. For the statistical modeling of interaction six environmental variables (minimum, maximum and mean temperatures, total precipitation, sunshine hours and relative air humidity) were used as input information in factorial regression model (FR). The calculation of environmental variables for each sowing date, were made according to approximate sunflower growth stages (six leaves, budding, flowering, physiological maturity). Three hybrids Miro, Rimi and Pobednik were grown during three vegetation periods and sown at eight sowing dates. The effects of environmental variables on the hybrid by sowing date interaction for seed yield and yield components (oil yield, oil content, 1000 seed weight) were tested.", publisher = "Paris : International Sunflower Association", journal = "Proceedings, 18th International Sunflower Conference, Mar del Plata & Balcare, Argentina, 27 February - 1 March 2012", title = "Modeling of environmental causes of hybrid by sowing date interaction in sunflower: a statistical approach", pages = "02-VC-4", url = "https://hdl.handle.net/21.15107/rcub_fiver_2704" }
Balalić, I., Zorić, M., Crnobarac, J., Miklič, V.,& Radić, V.. (2012). Modeling of environmental causes of hybrid by sowing date interaction in sunflower: a statistical approach. in Proceedings, 18th International Sunflower Conference, Mar del Plata & Balcare, Argentina, 27 February - 1 March 2012 Paris : International Sunflower Association., 02-VC-4. https://hdl.handle.net/21.15107/rcub_fiver_2704
Balalić I, Zorić M, Crnobarac J, Miklič V, Radić V. Modeling of environmental causes of hybrid by sowing date interaction in sunflower: a statistical approach. in Proceedings, 18th International Sunflower Conference, Mar del Plata & Balcare, Argentina, 27 February - 1 March 2012. 2012;:02-VC-4. https://hdl.handle.net/21.15107/rcub_fiver_2704 .
Balalić, Igor, Zorić, Miroslav, Crnobarac, Jovan, Miklič, Vladimir, Radić, Velimir, "Modeling of environmental causes of hybrid by sowing date interaction in sunflower: a statistical approach" in Proceedings, 18th International Sunflower Conference, Mar del Plata & Balcare, Argentina, 27 February - 1 March 2012 (2012):02-VC-4, https://hdl.handle.net/21.15107/rcub_fiver_2704 .