The Interaction of the Soybean Seed High Oleic Acid Oil Trait With Other Fatty Acid Modifications

Bilyeu, Kristin; Škrabišová, Mária; Allen, Doug K.; Rajcan, Istvan; Palmquist, Debra E.; Gillen, Anne M.; Mian, Rouf; Jo, Hyun

doi:10.1002/aocs.12025

Cited by 26 publications

(17 citation statements)

References 34 publications

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“…Although the magnitude of the phenotypic variances were smaller than seen with induced mutant studies (Pham et al, 2010;Bilyeu et al, 2011Bilyeu et al, , 2018Boersma et al, 2012;Gillman et al, 2014), they were still of interest for evaluating the whole-genome selection methods in this study. Of the traits chosen for selection strategy evaluation, ** Significant at the 0.01 probability level.…”

Section: Resultsmentioning

confidence: 92%

Context‐Specific Genomic Selection Strategies Outperform Phenotypic Selection for Soybean Quantitative Traits in the Progeny Row Stage

et al. 2019

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Evaluating different breeding selection strategies for relative utility is necessary to choose those that maximize efficiency. Soybean [Glycine max (L.) Merr.] seed yield and fatty acid, protein, and oil contents are all commercially important traits that display complex quantitative inheritance. A soybean population consisting of 860 F5–derived recombinant inbred lines (RILs), genotyped with 4867 polymorphic single nucleotide polymorphism (SNPs) was used to compare phenotypic and context specific genomic selection (GS) strategies. To simulate progeny rows, each RIL was grown in a single plot in 2010 in Knoxville, TN, and phenotype was recorded. A subset of 276 RILs with similar maturity was then grown in multilocation, replicated field trials in 2013 to compare the performance of each selection method in field conditions. Notably, the preferred method for each trait was GS. Of the GS approaches evaluated, Epistacy performed best for yield, and BayesB and/or genomic best linear unbiased prediction (G‐BLUP) were preferred for each of the other traits. Yield was the only trait for which the predictions had a large change when the number of SNPs and the number of RILs were randomly reduced for the G‐BLUP model, with the best predictions occurring when RILs with different maturity that were not grown in 2013 were removed from the training set. These findings provide important information on how soybean breeders can maximize selections from the progeny row stage for yield and fatty acid, protein, and oil contents by using appropriate selection strategies.

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Section: Resultsmentioning

confidence: 92%

Context‐Specific Genomic Selection Strategies Outperform Phenotypic Selection for Soybean Quantitative Traits in the Progeny Row Stage

et al. 2019

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“…Breeding for desirable fatty‐acid levels as well as the low‐phytate trait may be hindered, as fatty‐acid modifier quantitative trait loci (QTL) for all five fatty acids were detected on Gm19 (LG L) (Hyten, Pantalone, Saxton, Schmidt, & Sams, ). However, major improvements in soybean fatty acids have been achieved using genes unlinked to pha1 and pha2 (Bilyeu et al, ), so this concern may be marginal.…”

Section: Resultsmentioning

confidence: 99%

Agronomic Performance and Seed Inorganic Phosphorus Stability of Low‐Phytate Soybean Line TN09‐239

Wiggins

Smallwood

West

et al. 2018

J Americ Oil Chem Soc

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Phytate (myoinositol‐1,2,3,4,5,6‐hexa‐kisphosphate) in soybean (Glycine max (L.) Merr.) cannot be absorbed by livestock with monogastric digestive systems, and is often excreted in their waste. This can result in agricultural runoff pollution, as well as nutritional deficiencies in poultry (Gallus Gallus domesticus) and swine (Sus domesticus). The enzyme phytase is often applied to break the phytin‐salt bonds and allow for phosphorus (P) absorption, but is an added cost for animal producers. Therefore, we developed a low‐phytate BC4‐derived line TN09‐239 for comparison of agronomic and seed‐quality traits with the high‐yielding recurrent parent, 5601T. In a replicated, multienvironment field test in Tennessee, TN09‐239 was significantly higher for inorganic P (Pi) (P < 0.001), which is inversely correlated with the seed‐phytate concentration, but significantly lower for yield (P < 0.05) in comparison with the recurrent parent. These findings for increased Pi, but reduced yield, for TN09‐239 in comparison with 5601T were confirmed in the 2010 United States Department of Agriculture (USDA) Uniform Preliminary V Soybean Test grown in 10 southern US environments. 5601T and TN09‐239 differed in Pi stability across southern environments, with linear regression showing 5601T having stability across environments, while TN09‐239 showed variations based on the environments. However, in each environment TN09‐239 displayed nearly a 10‐fold increase in Pi compared to 5601T. Although the low‐phytate trait and much of the recurrent parent genome along with 85–90% of the yield have been captured, further backcrossing could help recover the remaining seed yield of 5601T and other traits desirable for southern US producers.

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“…With considerable interest in other fatty‐acid profile‐improved soybeans, including high oleic and low linolenic acid traits, we sought to determine to what extent the elevated stearic acid profile could be combined with elevated oleic acid or low linolenic acid traits. Previously, mutations in the SACPD‐C gene have been combined with mutations in the FAD2‐1A and FAD2‐1B genes to obtain 10–12% stearic acid and 65–75% oleic acid (Bilyeu et al, 2018; Ruddle 2nd et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Combination of the Elevated Stearic Acid Trait with Other Fatty Acid Traits in Soybean

Gaskin

Carrero‐Colón

Hudson

2021

J Americ Oil Chem Soc

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Stearic acid is one of five major fatty acids found in soybean oil. It is a fully saturated lipid and is known for neutral or positive effects on LDL cholesterol when consumed by humans. Unfortunately, stearic acid only accounts for about 4% of the total seed oil produced in commodity soybean. Previous work has shown that stearic acid can reach levels as high as 28% of the total oil fraction when the SACPD‐C gene, encoding the delta‐9‐stearoyl‐acyl carrier protein desaturase responsible for most of the stearic acid variation in soybean seed, is ablated in combination with other loci. In order to increase stearic acid content and create soybeans with improved utility based on fatty acid composition, we combined mutations in SACPD‐C with other mutations in the fatty acid biosynthetic pathway. Soybean plants carrying mutant alleles of both SACPD‐C and FAD2‐1A produce seed with stearic acid levels from 14% to 21%, and with elevated levels of oleic acid. Soybeans carrying mutations in both SACPD‐C and FAD3A or FAD3C have both statistically significantly elevated levels of stearic acid (from 15–21%) and statistically reduced linolenic acid levels. Neither mutant combination appears to affect other agronomic properties such as plant morphology or seed protein levels making this a potentially viable trait.

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The Interaction of the Soybean Seed High Oleic Acid Oil Trait With Other Fatty Acid Modifications

Cited by 26 publications

References 34 publications

Context‐Specific Genomic Selection Strategies Outperform Phenotypic Selection for Soybean Quantitative Traits in the Progeny Row Stage

Context‐Specific Genomic Selection Strategies Outperform Phenotypic Selection for Soybean Quantitative Traits in the Progeny Row Stage

Agronomic Performance and Seed Inorganic Phosphorus Stability of Low‐Phytate Soybean Line TN09‐239

Combination of the Elevated Stearic Acid Trait with Other Fatty Acid Traits in Soybean

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