Effect of vapor pressure deficit on growth and yield of pearl millet germplasm originating from semi-arid, semi-humid and humid regions.

Introduction: The increase in vapor pressure deficit (VPD) is among the expected change in futur climate, and understanding its effect on crop growth is of much significance for breeeding programs. Three groups (G1,G2 and G3) of pearl millet germplasm, originating from regions with different rainfall intensities, were grown in the field during period of high and low VPDs. The groups G1,G2 and G3 were respectively from Guinean (rainfall above 1000 mm), Soudanian (rainfall between 600 mm and 900 mm), and Sahelian zones (rainfall between 600 and 300 mm) of Africa.

Multi-Scale Attention Network for Vertical Seed Distribution in Soybean Breeding Fields.

The increase in the global population is leading to a doubling of the demand for protein. Soybean (), a key contributor to global plant-based protein supplies, requires ongoing yield enhancements to keep pace with increasing demand. Precise, on-plant seed counting and localization may catalyze breeding selection of shoot architectures and seed localization patterns related to superior performance in high planting density and contribute to increased yield.

A pilot cluster randomised controlled trial, of an IMPlicit learning approach versus standard care, on recovery of mobility following stroke (IMPS).

Objectives: To evaluate the delivery of rehabilitation using implicit motor learning principles in an acute stroke setting.

Design: Pilot, assessor-blind, cluster randomised controlled trial with nested qualitative evaluation.

Setting: Eight inpatient stroke units, UK.

High-Throughput Yield Prediction of Diallele Crossed Sugar Beet in a Breeding Field Using UAV-Derived Growth Dynamics.

Data-driven techniques could be used to enhance decision-making capacity of breeders and farmers. We used an RGB camera on an unmanned aerial vehicle (UAV) to collect time series data on sugar beet canopy coverage (CC) and canopy height (CH) from small-plot breeding fields including 20 genotypes per season over 3 seasons. Digital orthomosaic and digital surface models were created from each flight and were converted to individual plot-level data.

Gambian Mothers Lack Obstetric Danger Sign Knowledge, But Educational Intervention Shows Promise.

Background: The Gambia has the 12 highest maternal mortality rate in the world, with 80% of deaths resulting from avoidable causes. Unawareness of pregnancy danger signs (DS) has been shown to be a barrier to seeking obstetric care, while app-based education intervention has shown promise.

Objective: We aim to assess patient awareness of DS, identify barriers to awareness, and evaluate potential for implementing smartphone-based technologies for education.