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Variability of stone pine (Pinus pinea L.) fruit traits impacting pine nut yield
(2019)
Key message: Cone to pine nut yield (PY), an important commercial feature of stone pine cropping, was higher in Chile than in main producer countries. PY is highly variable along years and depends on pine nut number inside ...
Mass appraisal of land values using random forest with spatial restriction
(2020)
The advancement of computational software and machine learning practice has facilitated enhanced uptake of mass appraisal methodologies for price modelling and prediction of land value. Since the characteristics of properties ...
Introgression of peanut smut resistance from landraces to elite peanut cultivars (Arachis hypogaea L.)
(2019)
Smut disease caused by the fungal pathogen Thecaphora frezii Carranza & Lindquist is
threatening the peanut production in Argentina. Fungicides commonly used in the peanut crop have shown little or no effect controlling ...
Dissipation of the insecticides pirimiphos-methyl and dichlorvos in stored maize (Zea mays L.) grains
(2020)
The aim of this work was to analyze the dissipation dynamics of the insecticides pirimi-phos-methyl and dichlorvos in maize (Zea mays L.) grains after post-harvest spray applications. The recommendations for their use for ...
Site-specific data on herbicide soil retention and ancillary environmental variables
(2019)
This article presents original geospatial data on soil adsorption coefficient (Kd) for two widely used herbicides in agriculture, glyphosate and atrazine. Besides Kds, the dataset includes site-specific soil data: pH, total ...
Incomplete milkings in automatic milking systems
(2019)
Automatic milking systems (AMS) rely on voluntary and distributed attendance of cows to the dairy facility throughout lactation. This generates variation in milking intervals (MI), defined as the period of time that elapses ...
Addressing alternative approaches for spatial modeling of herbicide retention in soil
(2019)
Glyphosate retention coefficient (Kd) is modeled as function of soil variables, from a regional sampling, using: Ordinary and Partial Least Square regression, Random Forest, Generalized Boosted regression (GB), and Bayesian ...
Two step procedure to model site specific herbicide soil persistence
(2020)
Soil herbicide persistence is the length of time the herbicide molecule remains active in soil and it is crucial to describe risks of diffuse contamination in agriculture. Persistence is characterized by ?half-life?, which ...