ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Electronic Resource
    Electronic Resource
    Oxford UK : Blackwell Science Ltd
    Weed research 39 (1999), S. 0 
    ISSN: 1365-3180
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Notes: A flexible sigmoidal model relating crop yield to relative leaf cover of weed was derived. The model was shown to embody a hyperbolic, a symmetric sigmoidal and an asymmetric logistic model as special cases. Data from field experiments conducted in 1996 and 1997 on maize in competition with various weed infestation conditions were used to validate the model. A high accuracy was observed for yield description, and the four parameters of the model were estimated easily using a non-linear regression procedure. When compared with other (nested and restricted) models, a better fit of the data was obtained than with the symmetric sigmoidal and the asymmetric logistic models. Rejection of the null hypothesis of hyperbolic yield response was observed in only 1 out of 16 cases, meaning that both the hyperbolic and the flexible sigmoidal models have comparable yield-descriptive capacities. The increased complexity because of the extra (fourth) parameter in the flexible sigmoidal model may favour the use of the hyperbolic model by most investigators. Failure of the sigmoidal model to outperform the hyperbolic model was primarily due to the weak sigmoidal yield response (sigmoidal response parameter δ close to unity) and the relatively small sample sizes. However, when the model is to be embedded in a decision-support computer program, larger sample sizes are required and the flexible sigmoidal model may be more appropriate in such situations. The high flexibility of the model may allow the detection of special cases, and thus minimize the risk of a wrong decision.
    Type of Medium: Electronic Resource
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 2
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Science Ltd
    Weed research 43 (2003), S. 0 
    ISSN: 1365-3180
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Notes: This work was initiated to integrate an image analysis system and a prediction equation to support decisions for post-emergence herbicide applications under field conditions. Data were collected from 1999 to 2001 in 32 commercial fields to obtain weed cover data at the three to four leaf stage of maize (Zea mays L.), and crop yield at maturity. Relative crop yield was predicted using a non-linear sigmoidal equation with relative weed cover as the predictor variable (P 〈 0.0001; R2 = 0.39). The decision procedure consists of using the equation within the limits of a yield loss threshold that represents the loss one is willing to tolerate. The tolerance threshold (TT) allows determination of a weed threshold (WT). The procedure considers the variability around the prediction equation by setting the WT at the intersection between the lower 95% confidence interval of the prediction line and the TT. It also considers the variability around the weed cover estimate. For a given field, the decision is made by comparing the average weed cover corrected for sampling error, to the WT. We tested the performance of the decision procedure and found it could lead to a saving of 25% of herbicide use. We also computed a probability table showing the chances of getting relative yield above or below the TT. We suggest using the probability table in combination with the decision procedure to manage risks. The proposed approach does not offer a set ‘yes’ or ‘no’ answer but rather provides a framework to support decisions by producers who ultimately must manage the risks.
    Type of Medium: Electronic Resource
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...