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Peer Reviewed
See detailPrévision des défauts de géométrie au cours du laminage à chaud des aciers
Cescotto, Serge ULg; Grober, H.; Charlier, Robert ULg et al

in Proc. de la Conf. Int. sur les Méthodes de calculs pour la Prévision des Défauts de Mise en Forme (1987, September)

Detailed reference viewed: 41 (0 ULg)
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See detailPrévision des rendements agricoles. Guide d'utilisation.
Bronne, Charles-Emmanuel; Wellens, Joost ULg; Midekor, Akoly Agblévi et al

Learning material (2011)

Manuel présentant une méthode, développée par l'Université de Liège, de prévision de la production agricole. Cette méthode se base sur l'utilisation de différents programmes informatiques, et a pour but ... [more ▼]

Manuel présentant une méthode, développée par l'Université de Liège, de prévision de la production agricole. Cette méthode se base sur l'utilisation de différents programmes informatiques, et a pour but de prévoir le rendement agricole à partir de données météorologiques, agrométéorologiques, et NDVI (télédétecté). Elle est appliquée dans ce manuel sur les cultures du coton et du maïs au Burki Faso. [less ▲]

Detailed reference viewed: 53 (10 ULg)
See detailPrévisions de fumure
Bodson, Bernard ULg; Crohain, A.; Falisse, André et al

in Fumure et protection phytosanitaire des céréales (1986, February)

Detailed reference viewed: 2 (0 ULg)
See detailPrévisions de fumure
Laloux, René; Poelaert, Jean; Dohet, Jacques et al

in Fumure et protection phytosanitaire des céréales (1981, February)

Detailed reference viewed: 4 (0 ULg)
See detailPrévisions de fumure
Laloux, René; Poelaert, Jean; Rixhon, L. et al

in Fumure et protection phytosanitaire des céréales (1982, February)

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See detailPrévisions de fumure pour 1980
Laloux, René; Poelaert, Jean; Dohet, Jacques et al

in Fumure et protection phytosanitaire des céréales (1980, February)

See detailPrévisions de fumure pour 1988
Falisse, André; Poelaert, Jean; Bodson, Bernard ULg et al

in Livre Blanc: Céréales - Gembloux (1988, February 25)

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See detailPrévisions de fumure pour 1989
Falisse, André; Poelaert, Jean; Bodson, Bernard ULg et al

in Fumure et protection phytosanitaire des céréales (1989, February 23)

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See detailPrévisions de fumures
Poelaert, Jean; Falisse, André; Bodson, Bernard ULg et al

in Fumure et protection phytosanitaire des céréales (1983, February 24)

Detailed reference viewed: 3 (0 ULg)
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See detailPrévisions des rendements du blé d’hiver à échelle régionale par modélisation de la courbe de chute de l’indice foliaire
Kouadio, Amani Louis ULg

Doctoral thesis (2012)

Estimation of cereal-crop production is considered as a priority in most crop research programs due to the relevance of food grain to world agricultural production. A large number of agrometeorological ... [more ▼]

Estimation of cereal-crop production is considered as a priority in most crop research programs due to the relevance of food grain to world agricultural production. A large number of agrometeorological models for crop yield assessment are available with various levels of complexity and empiricism. The current development of models for wheat yield forecasts, however, does not always reflect the inclusion of the loss of valuable green area and its relation to biotic and abiotic processes in production situation. At the field level, the close correlation between green leaf area during maturation and grain yield in wheat revealed that the onset and rate of senescence appeared to be important factors for determining wheat grain yield. Earth observation data, owing to their synoptic, timely and repetitive coverage, have been recognized as a valuable tool for crop monitoring at different levels. Our study sought to explore an approach for winter wheat (Triticum aestivum L.) yield forecasts at a regional scale, based on metrics derived from the senescence phase of the green area index (GAI). The senescence phase of winter wheat was analyzed and its modelling was achieved through two curve-fitting functions (modified Gompertz and logistic function). Metrics derived from these functions and characterizing this phase (i.e. the maximum value of GAI, the senescence rate and the time taken to reach either 37% or 50% of the remaining green surface in the senescent phase) were related to grain yields. The Senescence-based Approach For Yield estimates (SenAFY) was established and first tested at plot scale based on GAI values derived from digital hemispherical photograph. Then, it was applied at a regional scale using GAI temporal profiles retrieved from MODIS data. This second part of our study took advantage of recent methodological improvements in which imagery with high revisit frequency but coarse spatial resolution can be exploited to derive crop-specific GAI time series by selecting pixels whose ground-projected instantaneous field of view is dominated by the winter wheat. The regression-based models derived from the SenAFY provide interesting yield estimates at these two spatial scales. At regional scale, especially, the use of the SenAFY in order to forecast wheat yield gave satisfactory results. Such an approach may be considered as a first yield estimate that could be performed in order to provide better integrated yield assessments in operational systems. [less ▲]

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Peer Reviewed
See detailPrévoir la septoriose : un modèle belge au Luxembourg
El Jarroudi, Moussa ULg; Giraud, Frédéric; Tychon, Bernard ULg et al

in Phytoma : La Défense des Végétaux (2011), 642

Septoria leaf blight caused by Septoria tritici Roberge ex Desmaz. (anamorph of Mycosphaerella graminicola) is one of the most serious foliar diseases on winter wheat which farmers in Luxembourg. It need ... [more ▼]

Septoria leaf blight caused by Septoria tritici Roberge ex Desmaz. (anamorph of Mycosphaerella graminicola) is one of the most serious foliar diseases on winter wheat which farmers in Luxembourg. It need to take into account when deciding upon fungicide application during stem elongation. Management of S. tritici aims at keeping the top two leaf layers free from infection, as these leaves contribute most to grain yield. The model PROCULTURE has been developed to simulate the progress of the Septoria leaf blotch disease on winter wheat during the cropping season. The model has been validated in Luxembourg for 3-years (2000 to 2002) at distinct representative sites. Proculture forecasts have been shown to be correct in about 85% of all cases. This model has since 2004 been used in the Grand-Duchy of Luxemburg in order to find the optimum time of fungicide spray in fields. On average, no spray of fungicides or only one application is required to efficiently control Septoria leaf blotch. In the Oesling (north of G-D of Luxembourg), treatments based on the Septoria risk simulation model were recommended only once, in 2007. The climatic conditions of the Oesling tend to favour organic farming in a region where foliar disease pressure is very weak. [less ▲]

Detailed reference viewed: 70 (4 ULg)