This paper shows how agricultural productivity shocks can generate large industrial output fluctuations in poor countries, using a static general-equilibrium model with Stone-Geary preferences. A negative shock to agricultural productivity increases food prices, which affects manufacturing output through two channels: (1) meeting subsistence requirements in the face of rising food prices causes...

in order to study the yield and growth indix of potato under water deficit, an experiment was conducted with line-source sprinkler irrigation in khorasan razavi agricultural and natural resource research center. water deficit levels were included, at 0.75m from line-source (control), at 3.75m from line source (very mild deficit), at 6.75m from line-source (mild deficit), at 9.75m from line-sour...

To meet the challenge of feeding a growing world population with minimal environmental impact, we need comprehensive and quantitative knowledge of ecological factors affecting crop production. Earthworms are among the most important soil dwelling invertebrates. Their activity affects both biotic and abiotic soil properties, in turn affecting plant growth. Yet, studies on the effect of earthworm...

Food shortage has been among the most threatening problems to the world since the beginning of the new century. And it means more to the countries with a large amount of citizens such as China. Chinese governments at different levels have being taken different kinds of actions to stabilize and increase the yields of grains. A major premise of making right decisions is the ability to accurately ...

Crop simulation model has been becoming the core of agricultural production management and resource optimization management. Displaying crop growth process makes user observe the crop growth and development intuitionisticly. On the basis of understanding and grasping the occurrence condition, popularity season, key impact factors for main wheat diseases of stripe rust, leaf rust, stem rust, hea...

Crop models are powerful tools to test hypotheses, synthesize and convey knowledge, describe and understand complex systems and compare different scenarios. Models may be used for prediction and planning of production, in decision support systems and control of the greenhouse climate, water supply and nutrient supply. The mechanistic simulation of tomato crop growth and development is described...

Crop simulation model has been becoming the core of agricultural production management and resource optimization management. Displaying crop growth process makes user observe the crop growth and development intuitionisticly. On the basis of understanding and grasping the occurrence condition, popularity season, key impact factors for main wheat diseases of stripe rust, leaf rust, stem rust, hea...

Unweathered crop residues can produce growth-inhibiting substances, stimulate pathogen growth, and immobilize nutrients. The location of seed relative to residue may be an important factor in the early health of a crop. This greenhouse study simulated sowing conditions possible under annual dryland winter wheat (Triticum aestivum L.) production to evaluate the likelihood of inhibitory effects. ...

Variation in maize yield across environments often reflects genotype-specific responses in crop-flowering dynamics. The most widely observed effect is the temporal separation of male (anthesis) and female (silking) floral maturity, referred to as the anthesis–silking interval (ASI). Many studies have shown that maize yield also is a function of crop growth rate around flowering. At present, how...