Results 41 to 50 of about 22,747,399 (346)

Field and in-silico analysis of harvest index variability in maize silage

open access: yesFrontiers in Plant Science, 2023
Maize silage is a key component of feed rations in dairy systems due to its high forage and grain yield, water use efficiency, and energy content. However, maize silage nutritive value can be compromised by in-season changes during crop development due ...
Jonathan Jesus Ojeda   +8 more
doaj   +1 more source

Uncertainty analysis of the HORTSYST model applied to fertigated tomatoes cultivated in a hydroponic greenhouse system

open access: yesSpanish Journal of Agricultural Research, 2021
Aim of study: The objective was to perform an uncertainty analysis (UA) of the dynamic HORTSYST model applied to greenhouse grown hydroponic tomato crop.
Antonio Martínez-Ruiz   +5 more
doaj   +1 more source

Performance Evaluation of the WOFOST Model for Estimating Evapotranspiration, Soil Water Content, Grain Yield and Total Above-Ground Biomass of Winter Wheat in Tensift Al Haouz (Morocco): Application to Yield Gap Estimation

open access: yesAgronomy, 2021
The main goal of this investigation was to evaluate the potential of the WOFOST model for estimating leaf area index (LAI), actual evapotranspiration (ETa), soil moisture content (SM), above-ground biomass levels (TAGP) and grain yield (TWSO) of winter ...
Lucas Emmanuel Fesonae Dewenam   +3 more
doaj   +1 more source

A dataset of future daily weather data for crop modelling over Europe derived from climate change scenarios

open access: yesTheoretical and Applied Climatology, 2017
Coupled atmosphere-ocean general circulation models (GCMs) simulate different realizations of possible future climates at global scale under contrasting scenarios of land-use and greenhouse gas emissions.
Gregory Duveiller   +5 more
semanticscholar   +1 more source

Orphan Crops Browser: a bridge between model and orphan crops [PDF]

open access: yesMolecular Breeding, 2016
Many important crops have received little attention by the scientific community, either because they are not considered economically important or due to their large and complex genomes. De novo transcriptome assembly, using next-generation sequencing data, is an attractive option for the study of these orphan crops.
Kamei, Claire Lessa Alvim   +5 more
openaire   +3 more sources

Evaluation of research articles published in the Journal of Agrometeorology (1999-2022)

open access: yesJournal of Agrometeorology, 2023
This article evaluates the research papers published in the Journal of Agrometeorology which started in 1999 as a six-monthly publication appearing in June and December and become a quarterly publication appearing in March, June, September and December ...
VYAS PANDEY
doaj   +1 more source

REVIEW OF WHEAT YIELD ESTIMATING METHODS IN MOROCCO

open access: yesAfrican Journal on Land Policy and Geospatial Sciences, 2022
Context and background: Wheat is one of the oldest crops in the world and has always been one of the most important staple foods for millions of people around the world, especially in North Africa, where wheat is the most dominant crop. The importance
Adra IDRISSI   +3 more
doaj   +1 more source

Simulating the Impacts of Climate Change on Maize Yields Using EPIC: A Case Study in the Eastern Cape Province of South Africa

open access: yesAgriculture, 2022
Climate change has been projected to impact negatively on African agricultural systems. However, there is still an insufficient understanding of the possible effects of climate change on crop yields in Africa.
Dennis Junior Choruma   +2 more
doaj   +1 more source

Combining Process Modelling and LAI Observations to Diagnose Winter Wheat Nitrogen Status and Forecast Yield

open access: yesAgronomy, 2021
Climate, nitrogen (N) and leaf area index (LAI) are key determinants of crop yield. N additions can enhance yield but must be managed efficiently to reduce pollution.
Andrew Revill   +6 more
doaj   +1 more source

Crop science experiments designed to inform crop modeling [PDF]

open access: yesAgricultural and Forest Meteorology, 2013
Crop growth simulation models are a useful tool to assess the impact of environment, crop management, genetics and breeding strategies, as well as climate change and variability on growth and yield. Any crop science experiment that measures key physiological processes, tests these productive processes, their interaction with other processes ...
Craufurd, Peter Q.   +4 more
openaire   +2 more sources

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