Published online by Cambridge University Press: 23 February 2017
Two varieties of bahiagrass were evaluated under Florida conditions for forage tolerance to the new herbicide, aminocyclopyrachlor (ACP), which is essential for product development decisions. Herbicide treatments included ACP alone at 70 and 140 g ai ha−1, ACP + chlorsulfuron at 69 + 27 and 138 + 54 g ai ha−1, ACP + 2,4-D amine at 70 + 532 g ai ha−1 and 140 + 1,064 g ai ha−1, ACP + triclopyr-amine at 70 + 140 g ai ha−1 and 140 + 280 g ai ha−1, and ACP + metsulfuron at 46 + 7, 78 + 12, and 168 + 26 g ai ha−1, and also included a nontreated check. ‘Argentine’ bahiagrass was the most tolerant forage species, and ‘Pensacola’ bahiagrass was sensitive to ACP + metsulfuron and initially to ACP + chlorsulfuron. Herbicide applications using ACP, when labeled, will likely provide good to excellent control of several weed species, with little long-term impact on bahiagrass forage production when the cultivar is known.
Dos variedades de pasto bahia fueron evaluadas en Florida para determinar la tolerancia del forraje al nuevo herbicida aminocyclopyrachlor (ACP), la cual es esencial para la toma de decisiones en relación al desarrollo del producto. Los tratamientos con herbicidas incluyeron ACP solo a 70 y 140 g ai ha−1, ACP + chlorsulfuron a 69 + 27 y 138 + 54 g ai ha−1, ACP + 2,4-D amine a 70 + 532 g ai ha−1 y 140 + 1,064 g ai ha−1, ACP + triclopyr-amine a 70 + 140 g ai ha−1 y 140 + 280 g ai ha−1, y ACP + metsulfuron a 46 + 7, 78 + 12, y 168 + 26 g ai ha−1, y además se incluyó un testigo sin tratamiento. El pasto bahia ‘Argentine’ fue el más tolerante de las especies de forraje, y el pasto bahia ‘Pensacola’ fue sensible a ACP + metsulfuron e inicialmente a ACP + chlorsulfuron. Las aplicaciones de herbicidas usando ACP, cuando este herbicida esté registrado, brindarán un control de bueno a excelente de varias especies de malezas, con poco daño en el largo plazo sobre la producción de forraje del pasto bahia cuando se conoce el cultivar.
Associate editor for this paper: Kevin Bradley, University of Missouri.
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