e-ISSN: Pending
Negative / Null Result ReportOpen accessAgricultural and Biological Sciences· cited by 387

Identification of loci governing eight agronomic traits using a GBS‐GWAS approach and validation by QTL mapping in soya bean

Humira Sonah; Louise S. O’Donoughue; Elroy R. Cober; Istvan Rajcan; François Belzile · 2014 · Plant Biotechnology Journal

WASTE classifies this as Negative / Null Result Report · AI classification, approximate

The study found no significant effect — useful as a negative control or null benchmark for your own design.

Abstract (excerpt)

Soya bean is a major source of edible oil and protein for human consumption as well as animal feed. Understanding the genetic basis of different traits in soya bean will provide important insights for improving breeding strategies for this…

Excerpt shown for reference under fair use — read the full paper at the publisher.

About to run something similar?

Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.

WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.

Metadata source: OpenAlex · DOI 10.1111/pbi.12249