Salinization of soil is primarily caused by capillary rise from saline shallow groundwater orapplication of saline irrigation water. In this investigation, the transient state analytical modelwas modified to predict water uptake from saline shallow groundwater, actual cropevapotranspiration, soil water content, dry matter, seed yield and soil salinity under differentsaline groundwater depths, i...

Switchgrass is a relatively high-yielding and environmentally sustainable biomass crop, but further genetic gains in biomass yield must be achieved to make it an economically viable bioenergy feedstock. Genomic selection (GS) is an attractive technology to generate rapid genetic gains in switchgrass, and meet the goals of a substantial displacement of petroleum use with biofuels in the near fut...

Numerous efforts have been made to develop various indices using remote sensing data such as normalized difference vegetation index (NDVI), vegetation condition index (VCI) and temperature condition index (TCI) for mapping and monitoring of drought and assessment of vegetation health and productivity. NDVI, soil moisture, surface temperature and rainfall are valuable sources of information for ...

Switchgrass is a relatively high-yielding and environmentally sustainable biomass crop, but further genetic gains in biomass yield must be achieved to make it an economically viable bioenergy feedstock. Genomic selection (GS) is an attractive technology to generate rapid genetic gains in switchgrass, and meet the goals of a substantial displacement of petroleum use with biofuels in the near fut...

Switchgrass is a relatively high-yielding and environmentally sustainable biomass crop, but further genetic gains in biomass yield must be achieved to make it an economically viable bioenergy feedstock. Genomic selection (GS) is an attractive technology to generate rapid genetic gains in switchgrass, and meet the goals of a substantial displacement of petroleum use with biofuels in the near fut...

Developing genomic selection (GS) models is an important step in applying GS to accelerate the rate of genetic gain in grain yield in plant breeding. In this study, seven genomic prediction models under two cross-validation (CV) scenarios were tested on 287 advanced elite spring wheat lines phenotyped for grain yield (GY), thousand-grain weight (GW), grain number (GN), and thermal time for flow...

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an evaluation of the relationship between crop yield and soil properties would be useful in estimating the fluctuations in yield, and in an implementation of correct field management. the study was conducted in farmer operated wheat fields in sorkhankalateh district, 25 km northeast of gorgan, golestan province, iran. soil samples (0-30 cm depth) were collected just after crop planting at the e...

The accurate and reliable online measurement of the product yield is very essential for the control and optimization of the biodiesel process. A biodiesel yield prediction model based on the fast decorrelated neural network ensembles (FDNNE) was established to enhance the estimated performance. The random vector functional link (RVFL) networks were inserted into the fast decorrelated neural net...

The data presented here supports the informational background of enzyme-based lignocellulose hydrolyzation, cellulase characterization, and sugar yield prediction for the work "Enzyme-based lignocellulose hydrolyzation - Sauter mean diameter of raw materials as a basis for cellulase performance characterization and yield prediction" by Glaser [1]. Glucose yields from the enzymatic hydrolysis of...