Crop modelling for agriculture production and management

2014 ◽  
pp. 101-122
Author(s):  
Padmakar Tripathi ◽  
Arvind Kumar
Keyword(s):  
Crop Modelling

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

2015 ◽  
Vol 127 (3-4) ◽  
pp. 573-585 ◽  
Author(s):  
G. Duveiller ◽  
M. Donatelli ◽  
D. Fumagalli ◽  
A. Zucchini ◽  
R. Nelson ◽  
...  
Keyword(s):  
Climate Change ◽  
Weather Data ◽  
Climate Change Scenarios ◽  
Crop Modelling ◽  
Daily Weather ◽  
Daily Weather Data

Crop modelling as an aid for environmental characterisation and crop improvement

2009 ◽  
Vol 153 (2) ◽  
pp. S227 ◽  
Author(s):  
Karine Chenu ◽  
Scott C. Chapman ◽  
Greg McLean ◽  
Douglas Lush ◽  
Graeme L. Hammer ◽  
...  
Keyword(s):  
Crop Improvement ◽  
Crop Modelling

scholarly journals Efisiensi Penggunaan Cahaya Matahari dan Partisi Karbohidrat Tanaman Sorgum pada Berbagai Tingkat Pemupukan Nitrogen

2018 ◽  
Vol 45 (3) ◽  
pp. 278 ◽  
Author(s):  
Firmansyah Aznur ◽  
Suwarto , ◽  
Dan Heni Purnamawati
Keyword(s):  
Plant Growth ◽  
Growth Stage ◽  
Block Design ◽  
N Fertilization ◽  
Vegetative Stage ◽  
Light Use Efficiency ◽  
Flowering Stage ◽  
Crop Modelling ◽  
Experimental Station ◽  
Use Efficiency

Light use efficiency (LUE) determines biomass production based on interception energy during photosynthesis. The product of photosynthesis is allocated to the plants organs based on the partitioning of carbohydrates. The LUE and carbohydrate partitioning are two important parameters in crop modelling. The research was conducted at Cikabayan experimental station of IPB, Bogor from July to November 2015. The experiment was designed according to a randomize block design with five replications. The fertilizer treatments rate were 0%, 50%, 100%, 150%, and 200% of reference N fertilization of 120 kg ha-1.  The  value  of  light use efficiency and the partition coefficient of sorghum were not affected by N fertilization. The value of light use efficiency is 1.41 g MJ-1. The carbohydrates partitioning was developed based on plant growth stage. The partition from the planting to the emergence stage (0 ≤ s ≤ 0.25) was 0.81 x s/0.25 root, 0 stem, 0.19 x s/0.25 leaves, and 0 panicle. The partition from the emergence to the maximum vegetative stage (0.25 &lt; s ≤ 0.5) was 0.81-(0.59 x s/0.5) root, 0.14 x s/0.5  stem, 0.19 + (0.45 x s/0.5) leaves, and 0 panicle. The partition from the maximum vegetative stage to the flowering stage (0.5 &lt; s ≤ 0.75) was 0.22 - (0.09 x s/0.75) root, 0.14 + (0.39 x s/0.75) stem, 0.64 - (0.46 x s/0.75) leaves, and 0.16 x s/0.75 panicle. The partition from flowering to the harvest stage (0.75 &lt; s ≤ 1) was 0.13 - (0.13 x s) root, 0.53 - (0.52 x s) stem, 0.18-(0.18 x s) leaves, and 0.16 + (0.84 x s) panicle.<br /><br />Keywords: crop modelling, light use efficiency, N fertilizer, partitioning carbohydrates<br /><br />

Can we use crop modelling for identifying climate change adaptation options?

2018 ◽  
Vol 256-257 ◽  
pp. 46-52 ◽  
Author(s):  
Marc Corbeels ◽  
David Berre ◽  
Leonard Rusinamhodzi ◽  
Santiago Lopez-Ridaura
Keyword(s):  
Climate Change ◽  
Climate Change Adaptation ◽  
Crop Modelling ◽  
Adaptation Options

The Virtual Crop-Modelling System ‘VICA’ Specified for Barley

2007 ◽  
pp. 53-64 ◽  
Author(s):  
P. Wernecke ◽  
J. MÜller ◽  
T. Dornbusch ◽  
A. Wernecke ◽  
W. Diepenbrock
Keyword(s):  
Crop Modelling ◽  
Modelling System

Crop modelling as a tool to separate the influence of the soil and weather on crop yields

2005 ◽  
Vol 30 (1-3) ◽  
pp. 165-169 ◽  
Author(s):  
Gabriella Mathe-Gaspar ◽  
Nandor Fodor ◽  
Klara Pokovai ◽  
Geza Janos Kovacs
Keyword(s):  
Crop Yields ◽  
Crop Modelling

AVAILABLE WATER-HOLDING CAPACITY MAPS OF ALBERTA, SASKATCHEWAN AND MANITOBA

1988 ◽  
Vol 68 (1) ◽  
pp. 157-163 ◽  
Author(s):  
R. DE JONG ◽  
J. A. SHIELDS
Keyword(s):  
Key Words ◽  
Soil Water ◽  
Water Holding Capacity ◽  
Crop Modelling ◽  
Available Water ◽  
Soil Landscape ◽  
Water Holding

Available water-holding capacity (AWC) maps of Alberta, Saskatchewan and Manitoba were derived from Soil Landscape maps (1:1 million scale) by substituting AWC classes for soil textural classes. The maps provide information required for the geographical interpretation of soil water and crop modelling analyses. Key words: Available water-holding capacity, maps, texture

scholarly journals Bringing genetics and biochemistry to crop modelling, and vice versa

2018 ◽  
Vol 100 ◽  
pp. 132-140 ◽  
Author(s):  
Xinyou Yin ◽  
C. Gerard van der Linden ◽  
Paul C. Struik
Keyword(s):  
Crop Modelling
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