Results 11 to 20 of about 87 (65)
Diversity of fatty acid biosynthesis genes across the soybean pangenome. [PDF]
Abstract Soybean (Glycine max) is a major crop that contributes more than half of global oilseed production. Much research has been directed towards improvement of the fatty acid profile of soybean seeds through marker assisted breeding. Recently published soybean pangenomes, based on thousands of soybean lines, provide an opportunity to identify new ...
Derbyshire MC +6 more
europepmc +2 more sources
Targets and strategies to design soybean seed composition traits. [PDF]
Abstract Breeders and geneticists have put great effort into enhancing soybean seed composition and developing elite varieties with desired traits. However, diverse end‐uses and changing consumer preferences present new challenges and opportunities to develop desired compositional profiles for the market.
Kumar R +9 more
europepmc +2 more sources
Development of SNP Genotyping Assays for Seed Composition Traits in Soybean. [PDF]
Seed composition is one of the most important determinants of the economic values in soybean. The quality and quantity of different seed components, such as oil, protein, and carbohydrates, are crucial ingredients in food, feed, and numerous industrial products.
Patil G +7 more
europepmc +2 more sources
Expression of the Arabidopsis WRINKLED 1 transcription factor leads to higher accumulation of palmitate in soybean seed. [PDF]
Summary Soybean (Glycine max [L.] Merr.) is a commodity crop highly valued for its protein and oil content. The high percentage of polyunsaturated fatty acids in soybean oil results in low oxidative stability, which is a key parameter for usage in baking, high temperature frying applications, and affects shelf life of packaged products containing ...
Vogel PA +10 more
europepmc +2 more sources
Abstract Soybean accounts for over a quarter of the world's oilseed consumption and over 70% of the world's protein meal consumption. The separate development of high oleic, low linolenic acid (HOLL) soybean and high‐protein (HP) soybean means that no soybean cultivar on the market has an optimal fatty acid profile and increased protein.
Samuel C. McDonald +6 more
wiley +1 more source
Soybean Oil‐Quality Variants Identified by Large‐Scale Mutagenesis
To identify genetic variation for fatty acid composition in mature soybean seeds, 4566 M3 generation seed samples from a chemically mutagenized population were subjected to fatty acid profiling by gas chromatography. In the population, a wide range of variation in the content for each of the five major fatty acids was observed.
Karen Hudson, Mohamed Fawzy Ramadan
wiley +1 more source
318-bp IR-derived siRNAs targeting FAD3B and FAD3C.
(A) and (B) Small RNAs generated from the 318-bp IR matching the corresponding FAD3B and FAD3C target regions were plotted versus the average of their normalized abundance from three replications, respectively.
Ning Zhang (23771) +7 more
core +1 more source
Novel FAD3 Mutant Allele Combinations Produce Soybeans Containing 1% Linolenic Acid in the Seed Oil
Soybean [Glycine max (L.) Merr.] oil typically contains about 7% of linolenic acid, an oxidatively unstable fatty acid that is undesirable for many food applications. For cooking oil, reduction of the linolenic acid content by partial hydrogenation produces trans fatty acids, which are now known to increase the risk of coronary heart disease.
Kristin Bilyeu +2 more
wiley +1 more source
5’RACE on GmFAD3A and GmFAD3C mRNAs in T5 RNAi lines.
Arrows indicate the inferred cleavage sites and numbers above represent the fractions of cloned 5’ RACE PCR products terminating at this position. Degradation sites detected with high frequency are highlighted in red, and those present across the three ...
Ning Zhang (23771) +7 more
core +1 more source
FAD3 gene expression level of T5 homozygous RNAi lines.
Data are averages of biological triplicates ± SD normalized to CONS7 mRNA. Independent-Samples T Test was used to test the significance. Asterisks indicate significant differences in relative expression between transgenic lines and control. (*, p < 0.05;
Ning Zhang (23771) +7 more
core +1 more source

