Microenzymatic Evaluation of Oat (<i>Avena sativa</i> L.) β‐Glucan for High‐Throughput Phenotyping

Newell, Mark A.; Kim, Hyun Jung; Asoro, Franco G.; Lauter, Adrienne Moran; White, Pamela J.; Scott, M. Paul; Jannink, Jean‐Luc

doi:10.1094/cchem-06-13-0111-r

Cited by 3 publications

(4 citation statements)

References 18 publications

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“…All dissolved samples were analyzed with an enzymatic assay kit (K‐FRUC, MegaZyme International, https://secure.megazyme.com/Fructan-Assay-Kit). The enzymatic assay protocol was adapted (downscaled to one‐fifth) for 96‐well plates (Newell et al., 2014) to increase throughput and reduce phenotyping costs. Sample absorbance was measured with a SpectraMax Plus 384 microplate reader, and total fructan content was calculated per Equation .…”

Section: Methodsmentioning

confidence: 99%

Recurrent genomic selection for wheat grain fructans

et al. 2020

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Fructans are carbohydrates found in many plants, including wheat (Triticum aestivum L.), and they serve physiological roles in both plants and humans. Genomic selection (GS) could facilitate the rapid development of climate-resilient, nutritionally improved wheat cultivars, such as high-fructan cultivars, while decreasing resourceintensive phenotyping requirements. However, few empirical studies have examined GS for nutritional quality breeding. Although GS can accelerate gain from selection, loss of genetic variation and inbreeding may limit the potential for long-term gain. The objectives of this study were (a) to determine realized gain from GS for wheat grain fructan content with simple truncated selection (TS) and optimized contribution selection (OCS) methods, (b) to determine if gains agree with theoretical expectations, and (c) to compare impacts of selection on inbreeding, genetic variance, and indirect selection on agronomic characteristics. Over 2 yr, two cycles of GS were performed with equal contribution TS and inbreeding-constrained OCS selection. Genomic selection with TS and OCS led to a 25 ± 12% and 34 ± 6.4% increase in wheat grain fructan content, respectively. Although positive gains from selection were observed for both populations, OCS populations exhibited these gains while simultaneously retaining greater genetic variance and lower inbreeding levels relative to TS populations.Selection for wheat grain fructan content did not change plant height but significantly decreased days to heading in OCS populations. In this study, GS effectively improved the nutritional quality of wheat, and OCS controlled the rate of inbreeding.

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Section: Methodsmentioning

confidence: 99%

Recurrent genomic selection for wheat grain fructans

et al. 2020

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“…The enzymatic assay protocol was adapted (downscaled to one-fifth) for 96-well plates (Newell et al, 2014) to increase throughput and reduce phenotyping costs. The enzymatic assay protocol was adapted (downscaled to one-fifth) for 96-well plates (Newell et al, 2014) to increase throughput and reduce phenotyping costs.…”

Section: Phenotypesmentioning

confidence: 99%

“…Dissolved samples were analyzed with an enzymatic assay kit (K-FRUC, MegaZyme International). The enzymatic assay protocol was adapted (downscaled to one-fifth) for 96-well plates (Newell et al, 2014) to increase throughput and reduce phenotyping costs. Sample absorbance was measured with a SpectraMax Plus 384 microplate reader, and total fructan content was calculated using Eq.…”

Section: Phenotypesmentioning

confidence: 99%

Influence of Genotype and Environment on Wheat Grain Fructan Content

et al. 2019

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Fructans are naturally occurring plant polymers composed of fructose molecules. Approximately 15% of flowering plant species contain fructans, including wheat (Triticum aestivum L.). Fructans serve as carbon stores in plants and exhibit potentially beneficial effects on human health. The main objectives of this study were to examine the effects of genotype and environment on winter wheat grain fructan content and to assess the feasibility of using genomic selection for grain fructan content. Total grain fructan content was determined for 288 winter wheat genotypes grown across 2 yr at three locations each year. Observed variation in wheat grain fructan content was significantly influenced by genotype, environment, and genotype × environment interactions. The high genetic correlation, small impact of genotype × environment interactions on genomic predictability, and lack of significant hits in a genome‐wide association study suggest that genomic selection is a suitable tool in breeding for wheat grain fructan content. The results of this study will be useful for implementing recurrent genomic selection in winter wheat and guiding future decisions regarding breeding methodologies for total fructan content in wheat. This study provides a deeper understanding of the effects of genotype, environment, and genotype × environment interaction on fructan content, which will have implications for breeders seeking to develop nutritionally improved, climate‐resilient wheat cultivars.

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“…12 to 20%, and lower fat content (<8%) in the groat [ 185 ]. Oat is the sixth-ranked cereal crop and has received significant attention for its positive and consistent health benefits and livestock feed [ 186 , 187 ]. It has the benefits of lowering blood cholesterol and reducing the risk of cardiovascular diseases [ 188 ] due to the presence of high soluble fiber (β-glucan) and antioxidants such as tocopherol and tocotrienol [ 189 ].…”

Section: Introductionmentioning

confidence: 99%

OMICS in Fodder Crops: Applications, Challenges, and Prospects

Kumar

Singh

Kaur

et al. 2022

CIMB

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Biomass yield and quality are the primary targets in forage crop improvement programs worldwide. Low-quality fodder reduces the quality of dairy products and affects cattle’s health. In multipurpose crops, such as maize, sorghum, cowpea, alfalfa, and oat, a plethora of morphological and biochemical/nutritional quality studies have been conducted. However, the overall growth in fodder quality improvement is not on par with cereals or major food crops. The use of advanced technologies, such as multi-omics, has increased crop improvement programs manyfold. Traits such as stay-green, the number of tillers per plant, total biomass, and tolerance to biotic and/or abiotic stresses can be targeted in fodder crop improvement programs. Omic technologies, namely genomics, transcriptomics, proteomics, metabolomics, and phenomics, provide an efficient way to develop better cultivars. There is an abundance of scope for fodder quality improvement by improving the forage nutrition quality, edible quality, and digestibility. The present review includes a brief description of the established omics technologies for five major fodder crops, i.e., sorghum, cowpea, maize, oats, and alfalfa. Additionally, current improvements and future perspectives have been highlighted.

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Microenzymatic Evaluation of Oat (Avena sativa L.) β‐Glucan for High‐Throughput Phenotyping

Cited by 3 publications

References 18 publications

Recurrent genomic selection for wheat grain fructans

Recurrent genomic selection for wheat grain fructans

Influence of Genotype and Environment on Wheat Grain Fructan Content

OMICS in Fodder Crops: Applications, Challenges, and Prospects

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