Efficient imaging and computer vision detection of two cell shapes in young cotton fibers.
- Published in:
- Applications in Plant Sciences, 2022, v. 10, n. 6, p. 1, doi. 10.1002/aps3.11503
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- Publication type:
- Article
Works matching IS 21680450 AND DT 2022 AND VI 10 AND IP 6
Results: 7
1
2
Whole‐genomic DNA amplifications from individually isolated sweet sorghum microspores.
- Published in:
- Applications in Plant Sciences, 2022, v. 10, n. 6, p. 1, doi. 10.1002/aps3.11501
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- Publication type:
- Article
3
Novel method for the quantification of rosette area from images of Arabidopsis seedlings grown on agar plates.
- Published in:
- Applications in Plant Sciences, 2022, v. 10, n. 6, p. 1, doi. 10.1002/aps3.11504
- By:
- Publication type:
- Article
4
A low‐cost high‐throughput phenotyping system for automatically quantifying foliar area and greenness.
- Published in:
- Applications in Plant Sciences, 2022, v. 10, n. 6, p. 1, doi. 10.1002/aps3.11502
- By:
- Publication type:
- Article
5
Rapid character scoring and tabulation of large leaf‐image libraries using Adobe Bridge.
- Published in:
- Applications in Plant Sciences, 2022, v. 10, n. 6, p. 1, doi. 10.1002/aps3.11500
- By:
- Publication type:
- Article
6
InDelGT: An integrated pipeline for extracting indel genotypes for genetic mapping in a hybrid population using next‐generation sequencing data.
- Published in:
- Applications in Plant Sciences, 2022, v. 10, n. 6, p. 1, doi. 10.1002/aps3.11499
- By:
- Publication type:
- Article
7
Issue Information.
- Published in:
- Applications in Plant Sciences, 2022, v. 10, n. 6, p. 1, doi. 10.1002/aps3.11428
- Publication type:
- Article