Crystal Growth Engineering for Dendrite‐Free Zinc Metal Plating
This research employed the rare‐earth ion dysprosium (Dy) to modulate aqueous zinc (Zn) metal plating. Integrated multiscale experiments and computational modeling unveiled the preferential adsorption of Dy on specific crystal facets, which activated screw dislocation‐driven Zn growth.
Guifang Zeng +10 more
wiley +1 more source
Genome-wide association analysis to identify QTLs and candidate genes associated with grain yield and its related traits under low light conditions in rice (Oryza sativa L.). [PDF]
Das S +15 more
europepmc +1 more source
Genetic association analysis of grain yield-related traits in Aegilops tauschii under drought and non-stress conditions. [PDF]
Falaknaz M +4 more
europepmc +1 more source
Unlocking tillering repression through TEOSINTE BRANCHED-B1 mutagenesis enhances wheat grain yield. [PDF]
Liu X +15 more
europepmc +1 more source
Seed quality drives grain yield in Ethiopian and Senegalese sorghum: Insights from machine learning. [PDF]
Ahn E +10 more
europepmc +1 more source
RETRACTED: Elshayb et al. Green Synthesis of Zinc Oxide Nanoparticles: Fortification for Rice Grain Yield and Nutrients Uptake Enhancement. <i>Molecules</i> 2021, <i>26</i>, 584. [PDF]
Elshayb OM, Farroh KY, Amin HE, Atta AM.
europepmc +1 more source
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Interrelationships between Panicle Weight, Grain Yield, and Grain Yield Components in Oat
Crop Science, 1991The value of panicle weight as a selection criterion for improving grain yield in oat (Avena sativa L.) is largely unknown. Panicle weight in oat combines two of the three primary yield components, spikelets per panicle and seed weight, into a single trait that is easy to measure. Three oat populations were evaluated in 1987 through 1989 for the effect
L. B. Chapko, M. A. Brinkman
openaire +1 more source
Grain Yield Mapping: Yield Sensing, Yield Reconstruction, and Errors
Precision Agriculture, 2002Research findings are reviewed focusing on yield sensing methods, yield reconstruction, mapping, and errors. Yield sensing methods were explained and yield mapping process was briefly introduced. Grain flow through different combines was explained and the effects of combine dynamics on yield measurement accuracy were discussed.
Selcuk Arslan, Thomas S. Colvin
openaire +1 more source
Genetic and molecular control of grain yield in maize
Molecular Breeding, 2021Understanding the genetic and molecular basis of grain yield is important for maize improvement. Here, we identified 49 consensus quantitative trait loci (cQTL) controlling maize yield-related traits using QTL meta-analysis. Then, we collected yield-related traits associated SNPs detected by association mapping and identified 17 consensus significant ...
Hongwei Zhang +4 more
openaire +2 more sources

