Results 211 to 220 of about 119,276 (265)

Crystal Growth Engineering for Dendrite‐Free Zinc Metal Plating

open access: yesAdvanced Materials, EarlyView.
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]

open access: yesPlant Genome
Das S   +15 more
europepmc   +1 more source

Unlocking tillering repression through TEOSINTE BRANCHED-B1 mutagenesis enhances wheat grain yield. [PDF]

open access: yesPlant Commun
Liu X   +15 more
europepmc   +1 more source

Seed quality drives grain yield in Ethiopian and Senegalese sorghum: Insights from machine learning. [PDF]

open access: yesPLoS One
Ahn E   +10 more
europepmc   +1 more source
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Interrelationships between Panicle Weight, Grain Yield, and Grain Yield Components in Oat

Crop Science, 1991
The 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, 2002
Research 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, 2021
Understanding 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

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