Combination of Biogas Residues and Interactions Stimulates Crop Production and Salinity Tolerance in .

Stress tolerance in cereal crops like Sorghum is important to address food security and land development for saline agriculture. Salinity is considered one of the most devastating abiotic stresses affecting plant growth and yield, specifically in water-scared areas of the world. Biogas residue is a good source of plant nutrients with enriched fertilizer for crop yield and productivity.

Multidimensional role of selenium nanoparticles to promote growth and resilience dynamics of against sodium fluoride stress.

High fluoride (F) concentrations negatively affect the seed germination, plant growth, development, and yield of crops. L. is an F-sensitive crop frequently grown on marginal lands affected by F salts.

Best-subset instrumental variable selection method using mixed integer optimization with applications to health-related quality of life and education-wage analyses.

The classical best-subset selection method has been demonstrated to be nondeterministic polynomial-time hard and thus presents computational challenges. This problem can now be solved via advanced mixed integer optimization (MIO) algorithms for linear regression. We extend this methodology to linear instrumental variable (IV) regression and propose the best-subset instrumental variable (BSIV) method incorporating the MIO procedure.

Relationships between pasture mass at paddock level and cow data derived from GPS and behavior-monitoring on-animals sensors in rotationally grazed dairy systems.

Data from behavior-monitoring and location (global positioning system) devices fitted to dairy cows may improve our understanding of how animal behavior and movement are associated with feed availability and quality. We hypothesized that data from behavior-monitoring and location sensors may be associated with feed availability in a paddock within a rotationally grazed dairy system. To investigate this, 100 cows were randomly assigned to one of 4 groups (n = 25 cows per group) and allocated to different target pasture allocations to meet either 80%, 100%, or 120% of their estimated ME requirements across 2 experimental periods (n = 20 d per experimental period), during late-spring (Experimental Period 1; November 7 to November 26 2021) and late-summer (Experimental Period 2; 27 February to 18 March 2022).