A Decision-support Model Based on Agro-environmental Data for the Economic Chemotherapy of Leaf Rust on Winter Wheat in Mississippi
Titel:
A Decision-support Model Based on Agro-environmental Data for the Economic Chemotherapy of Leaf Rust on Winter Wheat in Mississippi
Auteur:
Muhammad Aslam Khan Larry Eugene Trevathan
Verschenen in:
Pakistan journal of biological sciences
Paginering:
Jaargang 1 (1998) nr. 4 pagina's 295-298
Jaar:
1998
Inhoud:
Environmental data recorded by a weather station installed in experimental wheat plots established during 1991-93 were used to develop leaf rust predictive model for economic fungicide application. Natural inoculum was relied upon for infection. Five fungicides were evaluated on five varieties during the spring of 1992 and 1993 in 15 treatments based on mode of active ingredient, crop growth stage (GS), initial appearance of leaf rust symptoms and environmental conditions. Fungicide treatments suppressing disease severity and enhancing the yield of rust tolerant varieties were subjected to economical analysis. Weekly maximum air temperature (23 °C), minimum air temperature (12°C), and average air temperature (17 °C), soil temperature (29 °C), rainfall (0.88 cm), relative humidity (86 percent), wind movement (12 km/h), solar radiation (26 mj/m 2) and dew point (17 °C) resulted in greater leaf rust severity at Starkville, in 1992. Weekly maximum air temperature (25°C), minimum air temperature (22°C), and average air temperature (21°C), soil temperature (27°C), rainfall (3.77 cm), relative humidity (90 percent), wind movement (28 km/h) solar radiation (19 mj/m2) and dew point (16°C) resulted in lower leaf rust development in 1993. Application of flusilazole alone, or flusilazole or propiconazole at GS-9 followed by mancozeb at GS-10.5 was recommended for maximizing profitable yield from Coker 9323 and Pioneer 2555.
Uitgever:
Asian Network for Scientific Information (provided by DOAJ)
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