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...

remote sensing is one of the techniques recently used in order to monitoring and predicting crop yield. the objective of this study was predicting wheat yield in mashhad during 2009 and 2010 by landsat (tm) and (etm+) images with ground based data. for this purpose, three images dated 6, 14 and 22 jun 2009 and 8 and 24 may and 9 jun 2010 were analyzed and vegetation indices were computed. field...

Precision agriculture (PA) and information technology (IT) are closely interwoven. The former usually refers to the application of nowadays’ technology to agriculture. Due to the use of sensors and GPS technology, in today’s agriculture many data are collected. Making use of those data via IT often leads to dramatic improvements in efficiency. For this purpose, the challenge is to change these ...

Pre-harvest prediction of winter wheat (Triticum aestivum L.) grain yield and/or protein could assist farmers in generating yield maps and reliable product marketing. This study was conducted to determine the relationship between spectral measurements (taken from Feekes growth stage 8 to physiological maturity) and grain yield and grain protein. Spectral measurements were taken using photodiode...

Although the widespread influence of the El Niño-Southern Oscillation (ENSO) occurrences on crop yields of the main agricultural commodities is well known, the global socio-economic consequences of ENSO still remain uncertain. Given the global importance of wheat for global consumption by providing 20% of global calories and nourishment, the monitoring and prediction of ENSO-induced variations ...

within-field variation of wheat yield and spatial pattern of weed density and soil nitrogen were evaluated by geostatistical methods. samples were taken from a 90×120 m area located in a 3.8 ha wheat field. soil nitrogen content and weed density at tillering and wheat yield at maturity were measured in 1 m2 plots located at the center of 10×10 m grids. grain yield was varied between 1.5-4.9 t h...

High-throughput phenotyping (HTP) platforms can be used to measure traits that are genetically correlated with wheat ( L.) grain yield across time. Incorporating such secondary traits in the multivariate pedigree and genomic prediction models would be desirable to improve indirect selection for grain yield. In this study, we evaluated three statistical models, simple repeatability (SR), multitr...

technique of remote sensing and its satellite products has many implementations in agricultural science and national resources. in this study, wheat yield in esfahan province, iran, were derived from modis satellite data over periods of 2000-2001(dry year) and 2004-2005 (wet year). for this purposes, 68 modis products of surface reflectance (mod09ga) and land surface temperature lst (mod11a2) o...