potato (solanum tuberosum l.) cultivation in two different climates causes difference in its growth process.the most frequently used indicators of growth for plants are the tuber growth rate (tgr), crop growth rate (cgr) and leaf area index (lai). shoot dry weight is the easiest, quickest and least costly component to measure the competitive features of plants.the results of some studies showed...

the project was undertaken to study the evaluation of effectiveness of crop advisory services and suggested measures for filling the gap in aurangabad district of maharashtra in india. the survey was carried out in 2010. the data was collected with the help of a specifically designed and pre-tested questionnaire. the project carried out in catchment area of advisory services has given substanti...

A partial equilibrium model of stochastic crop production is used to analyze the impacts of subsidized crop insurance on the extensive margin of agricultural production. It is shown that land use is unchanged only when an actuarially fair, perfectly separating insurance contract is offered. For actuarially fair, pooling equilibrium contracts, however, land with a minimum quality that is strictl...

Regional crop yield prediction is a vital component of national food security assessment. Data assimilation method which combines crop growth model and remotely sensed data has been proven the most potential method in regional crop production estimation. This paper takes Hengshui district as study area, WOFOST as crop model, MODIS-LAI as observation data to test and verify the efficiency of EnK...

using crop simulation models is an efficient complement to experimental research. crop models can also be helpful with respect to decision-making in sustainable farming system. this study was done to estimate genetic coefficients and evaluate performanced dssat in prediction of development, growth and yield in wheat. data from various field experiments for four wheat cultivars koohdasht, shirou...

The sensitivity of agricultural output to climate change has often been estimated by modelling crop yields under climate change scenarios or with statistical analysis of the impacts of year-to-year climatic variability on crop yields1,2. However, the areaof croplandandthenumberof cropsharvestedpergrowing season (cropping frequency) both also a ect agricultural output and both also show sensitiv...

Field crop yield prediction is crucial to grain storage, agricultural field management, and national agricultural decision-making. Currently, crop models are widely used for crop yield prediction. However, they are hampered by the uncertainty or similarity of input parameters when extrapolated to field scale. Data assimilation methods that combine crop models and remote sensing are the most eff...