Evidence map›Paper›PMID 39254853›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2024

Redesigning soybean with improved oil and meal traits.

Jeonghwa Kim, Andrew Scaboo, Katy Martin Rainey, Felix B Fritschi, Kristin Bilyeu

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jeonghwa KimDivision of Plant Science and Technology, University of Missouri, Columbia, MO, USA.
Andrew ScabooDivision of Plant Science and Technology, University of Missouri, Columbia, MO, USA.
Katy Martin RaineyDepartment of Agronomy, Purdue University, West Lafayette, IN, USA.
Felix B FritschiDivision of Plant Science and Technology, University of Missouri, Columbia, MO, USA.
Kristin BilyeuPlant Genetics Research Unit, USDA/ARS, Columbia, MO, USA. kristin.bilyeu@usda.gov.ORCID http://orcid.org/0000-0002-4141-4790

Funding

United Soybean Board #2020-152-0119
6 · The paper itself

Abstract

key messageSoybean seed oil and meal composition traits can be combined without interference to provide additional value to the crop. Soybean [Glycine max (L.) Merr.] is an important crop worldwide; its overall value comes from seed oil and high protein meal. The development of soybean varieties with allele combinations for improved oil and meal quality is expected to provide a compositional value bundle for soybean. The high oleic and low linolenic acid seed oil trait (HOLL; > 70% oleic and < 3% linolenic acid) is targeted to optimize the health and functional properties of soybean oil. For soybean meal, metabolizable energy is improved by altering the carbohydrate profile with increased sucrose and decreased anti-nutritional factors, raffinose family of oligosaccharides (RFOs). Previous research identified four variant alleles of fatty acid desaturase (FAD) genes and two raffinose synthase (RS) genes necessary for the HOLL trait in soybean oil and Low or Ultra-Low (UL) RFO traits in soybean meal, respectively. We employed a molecular marker-assisted breeding approach to combine six alleles conferring the desired soybean oil and meal value traits. Eight environment field trials were conducted with twenty-four soybean lines to evaluate phenotypic interactions among the variant alleles of FAD and RS genes. The results indicated that the four FAD gene alleles conditioned the HOLL fatty acid profile of the seed oil regardless of the allele status of the RS genes. Independent of the allele combination of the FAD genes, soybean with two variant alleles of the RS genes had the desired RFO trait in the seeds. The results confirm the feasibility of soybean variety development with this unique combination of oil and meal traits.

Indexed as

AllelesGlycine maxPhenotypePlant BreedingSeedsSoybean OilFatty Acid DesaturasesGalactosyltransferasesFatty Acid DesaturasesGalactosyltransferasesraffinose synthaseSoybean Oil

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.