The DOI matches its Crossref record; 109 of the 109 references it cites were found in a registry or an index.
Haploids: Constraints and opportunities in plant breeding
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Cites
A Revised Medium for Rapid Growth and Bio Assays with Tobacco Tissue Cultures
Murashige, T., & Skoog, F. (1962) · Physiologia Plantarum · doi:10.1111/j.1399-3054.1962.tb08052.x · Cited by 67,392
Nutrient requirements of suspension cultures of soybean root cells
Gamborg, O. L., Miller, R. A., & Ojima, K. (1968) · Experimental Cell Research · doi:10.1016/0014-4827(68)90403-5 · Cited by 9,427
Prediction of Total Genetic Value Using Genome-Wide Dense Marker Maps
Meuwissen, T. H. E., Hayes, B. J., & Goddard, M. E. (2001) · Genetics · doi:10.1093/genetics/157.4.1819 · Cited by 7,917
CRISPR-Cas systems for editing, regulating and targeting genomes
Sander, J. D., & Joung, J. K. (2014) · Nature Biotechnology · doi:10.1038/nbt.2842 · Cited by 3,153 · cited 1×
“It is clear that GFPtailswap technology can be tested in other crops — given the recent advances in targeted mutagenesis (Sander and Joung, 2014), it seems likely that any plant that can be transformed with this construct can be made defective in CenH3 .”
BackgroundMarker-assisted selection: an approach for precision plant breeding in the twenty-first century
Collard, B. C. Y., & Mackill, D. J. (2008) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2007.2170 · Cited by 2,257
Field high-throughput phenotyping: the new crop breeding frontier
Araus, J. L., & Cairns, J. E. (2014) · Trends in Plant Science · doi:10.1016/j.tplants.2013.09.008 · Cited by 1,817 · cited 1×
“Today,mostcropshaveabundantgeno-mic resources (Dwivedi et al., 2007), high throughput cost-effective phenotyping (Araus and Cairns, 2014; Cobb et al., 2013; Fiorani and Schurr, 2013), and genotyping tools (Thudi et al., 2012; Varshney et al., 2009).”
BackgroundGenomic Selection for Crop Improvement
Heffner, E. L., Sorrells, M. E., & Jannink, J. (2009) · Crop Science · doi:10.2135/cropsci2008.08.0512 · Cited by 1,652
Haploid Plants from Pollen Grains
Nitsch, J. P., & Nitsch, C. (1969) · Science · doi:10.1126/science.163.3862.85 · Cited by 1,495
The Centromere Paradox: Stable Inheritance with Rapidly Evolving DNA
Henikoff, S., Ahmad, K., & Malik, H. S. (2001) · Science · doi:10.1126/science.1062939 · Cited by 1,384
The rapid evolution of reproductive proteins
Swanson, W. J., & Vacquier, V. D. (2002) · Nature Reviews Genetics · doi:10.1038/nrg733 · Cited by 1,299
Cited by
Speed breeding in growth chambers and glasshouses for crop breeding and model plant research
Ghosh, S., Watson, A., Gonzalez-Navarro, O. E., Ramirez-Gonzalez, R. H., Yanes, L., Mendoza-Suárez, M., Simmonds, J., Wells, R., Rayner, T., Green, P., et al. (2018) · Nature Protocols · doi:10.1038/s41596-018-0072-z · Cited by 498
Genetic diversity is indispensable for plant breeding to improve crops
Swarup, S., Cargill, E. J., Crosby, K., Flagel, L., Kniskern, J., & Glenn, K. C. (2021) · Crop Science · doi:10.1002/csc2.20377 · Cited by 423
Speed breeding – a climate smart tool to accelerate research in wheat
Vikas, V. K., Sivasamy, M., & Jayaprakash, P. (2021) · Improving Cereal Productivity Through Climate Smart Practices · doi:10.1016/b978-0-12-821316-2.00002-9 · Cited by 2
Metadata
- Authors
- Dwivedi, S. L., Britt, A. B., Tripathi, L., Sharma, S., Upadhyaya, H. D., & Ortiz, R.
- Venue
- Biotechnology Advances
- Publisher
- Elsevier BV
- Published
- 2015-11
- Volume
- 33
- Issue
- 6
- Pages
- 812-829
- ISSN
- 0734-9750 (ISSN-L)
- OpenAlex
- W813926399
- Cited by
- 298
- References
- 109
- FWCI
- 19.26
- Type
- journal article
- Language
- en
- Open access
- bronze
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- The paper
- Dwivedi, S. L., Britt, A. B., Tripathi, L., Sharma, S., Upadhyaya, H. D., & Ortiz, R. (2015). Haploids: Constraints and opportunities in plant breeding. Biotechnology Advances. https://doi.org/10.1016/j.biotechadv.2015.07.001
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
