نتایج جستجو برای: crop productivity

تعداد نتایج: 146422  

2010
Jess Cornaggia

This paper exploits a unique dataset to examine the impact of risk management on productivity. I use crop yields as a measure of productivity and crop insurance data to capture risk management practices. An instrumental variables approach suggests that the exogenous portion of the choice to manage risk secures capital which producers use to finance productivity-enhancing investments. This resul...

1997
Pengxin Wang Gerrit Hoogenboom Dong Qu

Three soils in the Loess Plateau were selected to explore the potential of applying the decision support system for agrotechnology transfer (DSSAT) crop models in the areas and to test the CERES-Wheat model under DSSAT shell. The predicted maturity dates and grain yields were similar to the actual measured values. The manural loessial soil had the highest productivity. The loessial soil had the...

2016
Prem Prakash Jayaraman Ali Yavari Dimitrios Georgakopoulos Ahsan Morshed Arkady B. Zaslavsky

Improving farm productivity is essential for increasing farm profitability and meeting the rapidly growing demand for food that is fuelled by rapid population growth across the world. Farm productivity can be increased by understanding and forecasting crop performance in a variety of environmental conditions. Crop recommendation is currently based on data collected in field-based agricultural s...

2012
Kishore C. Swain Qamar Uz Zaman

Agricultural crop, one of the biological entities, is sensitive to its environmental condition including various soil and crop inputs. Alteration in environmental condition causes reduction in crop productivity (such as crop yield and total biomass etc.). Ultra-modern technology such as, precision agriculture (PA) is capable to prevent crop damage and maintain crop productivity. PA is the techn...

2009
Rosa M González-Amaro Angélica Martínez-Bernal Francisco Basurto-Peña Heike Vibrans

BACKGROUND In Mexico, the traditional maize cultivation system has resisted intensification attempts for many decades in some areas, even in some well-connected regions of the temperate highlands. We suggest that this is due to economics. METHODS The total useful biomass of several fields in Nanacamilpa, Tlaxcala, are evaluated for productivity and costs. RESULTS Maize grain production is l...

2002
M G MCGLINCHEY N G INMAN-BAMBER

In both Australia and Swaziland large areas of sugarcane rely on irrigation to produce a viable crop or to improve rainfed productivity. Matching water supply to crop demand is essential for productivity and sustainability in any irrigation scheme. Historically Class-A pan evaporation was used as a basis for determining sugarcane water demand or evapotranspiration (ETc). ETc is now frequently o...

2008
K. K. Singh Ch. Srinivasarao M. Ali

In sorghum and mungbean – lentil cropping system, field experiments were conducted for three successive years to assess the effect of mung bean residue incorporation on sorghum and succeeding lentil productivity along with different doses of phosphorus (P; 0, 30, 60 kg ha−1) applied to these crops. The level of soil fertility was also tested with or without incorporation of mung bean residue. T...

2015
M. USMAN

Recent studies have revealed that the integrated use of organic and inorganic fertilizers on crop has not received adequate research attention. In this paper, maize is considered among the most important cereal crops in Nigeria and all over the world that has high requirement for organic and inorganic nutrients in order to obtain good quality and high yields. The application of inorganic fertil...

Journal: :Journal of experimental botany 2009
Andrew J Challinor Frank Ewert Steve Arnold Elisabeth Simelton Evan Fraser

Assessments of the relationships between crop productivity and climate change rely upon a combination of modelling and measurement. As part of this review, this relationship is discussed in the context of crop and climate simulation. Methods for linking these two types of models are reviewed, with a primary focus on large-area crop modelling techniques. Recent progress in simulating the impacts...

Journal: :Journal of experimental botany 2010
J A Kirkegaard J R Hunt

Improvements in water productivity and yield arise from interactions between varieties (G) and their management (M). Most G×M interactions considered by breeders and physiologists focus on in-crop management (e.g. sowing time, plant density, N management). However, opportunities exist to capture more water and use it more effectively that involve judicious management of prior crops and fallows ...

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