Predicting herbicidal plant mortality with mobile photosynthesis meters

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F11%3A00169018" target="_blank" >RIV/62156489:43210/11:00169018 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Predicting herbicidal plant mortality with mobile photosynthesis meters

Original language description

Herbicide dose optimisation, i.e. maximising weed control and crop yield with herbicide dose, is an important part of integrated weed management strategies. However, the adoption of optimised dose technology and variable rate application has been limitedbecause of the relatively long period between herbicide treatment and the time when efficacy can be visually assessed. Herbicide dose optimisation could therefore benefit from simple methods that allow early prediction of plant mortality. Early prediction would allow better management decisions, e.g. timely retreatment in case of uncontrolled weeds. The focus of this study was the relationship between leaf photosynthesis soon after herbicide treatment and subsequent plant mortality, with the aim of determining whether the former could predict the latter. Data from 28 glasshouse experiments were analysed. In these experiments, herbicides from five modes of action groups were tested on five plant species. Leaf photosynthesis was measured

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

GF - Diseases, pests, weeds and plant protection

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2011

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Weed Research

ISSN

0043-1737

e-ISSN

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Volume of the periodical

51

Issue of the periodical within the volume

1

Country of publishing house

GB - UNITED KINGDOM

Number of pages

11

Pages from-to

12-22

UT code for WoS article

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EID of the result in the Scopus database

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