Exploring the performance of genomic prediction models for soybean yield using different validation approaches is a research paper published in Molecular Breeding (2019). On theSindex it has a DataRank of 0.477. It has been cited 23 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
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Base Score Contribution
0.477
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →Ministry of Education, Science and Technological Development of the Republic of Serbia
Grant: TR-31022
Provincial Secretariat for Science and Technological Development, Vojvodina, Serbia
Grant: 114-451-2739/2016-01
Ministry of Education, Science and Technological Development of Republic of Serbia
Grant: 31022
Interdisciplinary Approach to Development of New Soybean Varieties and Improvement of the Cultivation Practices and Seed Production
Deutsche Gesellschaft für Internationale Zusammenarbeit GmbH
Fields of Study
Keywords
Sustainable Development Goals