Nutritional and anti-nutritional seed-quality traits of faba bean (Vicia faba) grown in South Australia

2019 ◽  
Vol 70 (5) ◽  
pp. 463 ◽  
Author(s):  
Daniel J. Skylas ◽  
Jeffrey G. Paull ◽  
David G. D. Hughes ◽  
Beverley Gogel ◽  
Hao Long ◽  
...  

Pulses such as faba bean (Vicia faba L.) have received significant attention in recent years because of their nutritional properties and health benefits. However, in many faba bean varieties, these nutritional qualities are hindered by the presence of anti-nutritional factors such as vicine and convicine. The primary objective of this study was to evaluate the relative performance of key varieties of faba bean for a range of nutritional and anti-nutritional seed quality traits. Seed material consisting of 10 faba bean varieties grown in replicated field trials at Charlick and Freeling in South Australia over consecutive seasons (2016 and 2017) was provided by the national breeding program in Australia. Predicted variety or variety × environment means and variance parameter estimates for the final fitted models are reported for moisture (94.8–101.4 g kg–1), seed weight (523.3–813.7 g−1 1000 seed), protein (269.5–295.3 g kg–1), total starch (386.9–410.1 g kg–1), amylose (126–150.3 g kg–1), amylopectin (254–258.2 g kg–1), percentage total starch comprising amylose (33.5–37.4%) and amylopectin (62.6–66.5%), and anti-nutritional factors vicine (4.5–7.4 mg g–1) and convicine (1.7–3.2 mg g–1) and combined total vicine and convicine (6.4–9.6 mg g–1). Information from this study will contribute to better understanding of nutritional and anti-nutritional properties of faba bean and will help the national breeding program to deliver better performing varieties for Australia’s key growing regions. The information will also prove useful in the processing and development of healthy, value-added foods and ingredients, leading to increased consumer acceptance and demand for faba bean, ultimately providing benefits to growers.

Crop Science ◽  
2019 ◽  
Vol 59 (6) ◽  
pp. 2608-2620 ◽  
Author(s):  
Azam Nikzad ◽  
Berisso Kebede ◽  
Jaime Pinzon ◽  
Jani Bhavikkumar ◽  
Rong-Cai Yang ◽  
...  

Agriculture ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 253 ◽  
Author(s):  
Francesca De Cillis ◽  
Beniamino Leoni ◽  
Maria Massaro ◽  
Massimiliano Renna ◽  
Pietro Santamaria

Legumes crops play significant roles both in human diets and agriculture, and contribute to sustainable farming. In this study, we evaluated both some quality traits and yield of four landraces (Cegliese, Iambola, San Francesco, and FV5) of faba bean (Vicia faba L. var. major Harz) for fresh consumption in order to assess and distinguish the landraces also in comparison with two commercial varieties (Aguadulce supersimonia and Extra-early purple) by using a crop system without irrigation. Independently of the genotype, we obtained the same pods yield (1794 g m−2) without affecting the seed size. All genotypes can be considered a good source of vitamin C, although Extra-early purple and San Francesco reveal the highest content (703 and 646 mg 100 g−1 fresh weight—FW, respectively). Cegliese showed the highest L-dopa content (10.14 mg 100 g−1 FW), suggesting its use as a natural rich source of L-dopa (dopamine precursor used for Parkinson’s disease treatment) instead of using synthesized L-dopa. In conclusion, this study highlight interesting quality traits of faba bean when consumed as fresh vegetables, suggesting its positive role on human health and the possibility of its production by using local horticultural systems that are skilled in optimizing resource utilization.


1999 ◽  
Vol 50 (3) ◽  
pp. 389 ◽  
Author(s):  
J. D. Berger ◽  
K. H. M. Siddique ◽  
S. P. Loss

Seed size and protein, sulfur (S), total phenolics, condensed tannins, and proteinase inhibitor concentrations were measured in 4 Vicia species (V. faba, V. sativa, V. ervilia, V. narbonensis) grown at up to 30 locations in the south-west of Western Australia. There was a species × environment interaction for all seed traits, and this was reflected in the relationships with environmental parameters and other seed traits within each species. For V. faba, it was difficult to account for the production of seed quality traits or antinutritional factors on the basis of descriptive environmental parameters such as climate or edaphic characteristics. The remaining species were more responsive to environmental factors measured throughout the study. Seed size was negatively associated with soil salinity in V. narbonensis and V. ervilia. Seed protein content was positively correlated with soil total nitrogen (N) and phosphorus (P) in V. sativa and V. ervilia, and also with electrical conductivity, pH, and exchangeable cations in V. ervilia. The S content of V. narbonensis seeds increased with increasing soil S availability, while the opposite occurred in V. ervilia and V. sativa. Total phenolics were positively associated with total N and P in V. sativa, and negatively correlated with soil clay content, S, and salinity in V. ervilia. Proteinase inhibitors in V. sativa were positively associated with soil salinity, while the opposite was the case in V. ervilia. Proteinase inhibitors in V. ervilia were also negatively correlated with pH, clay content, total N, and exchangeable cations, whereas the total N and exchangeable cations were associated with increasing proteinase inhibitors in V. narbonensis. These complex and contrasting relationships between antinutritional factors and environmental parameters suggest that the carbon: nutrient balance hypothesis, the pre-eminent paradigm used to predict plant resource allocation to N and C based defence, may not be applicable to the seeds of legumes. The agricultural significance of the species ´ environment interaction above depends on the seed characteristic in question. Increased S uptake by V. narbonensis relative to V. ervilia and V. sativa may advantage this species as a fodder crop, given that these species are targeted at alkaline, fine-textured soils where soil S availability is likely to be relatively high. However, in the seed of V. narbonensis and V. sativa, fluctuating concentrations of polyphenolics and condensed tannins occasionally reach the relatively high levels recorded in V. faba, and other anti-nutritional factors not withstanding, this may limit their palatability to monogastrics.


Plants ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 719
Author(s):  
Mulusew Fikere ◽  
Denise M. Barbulescu ◽  
M. Michelle Malmberg ◽  
Pankaj Maharjan ◽  
Phillip A. Salisbury ◽  
...  

Genomic selection accelerates genetic progress in crop breeding through the prediction of future phenotypes of selection candidates based on only their genomic information. Here we report genetic correlations and genomic prediction accuracies in 22 agronomic, disease, and seed quality traits measured across multiple years (2015–2017) in replicated trials under rain-fed and irrigated conditions in Victoria, Australia. Two hundred and two spring canola lines were genotyped for 62,082 Single Nucleotide Polymorphisms (SNPs) using transcriptomic genotype-by-sequencing (GBSt). Traits were evaluated in single trait and bivariate genomic best linear unbiased prediction (GBLUP) models and cross-validation. GBLUP were also expanded to include genotype-by-environment G × E interactions. Genomic heritability varied from 0.31to 0.66. Genetic correlations were highly positive within traits across locations and years. Oil content was positively correlated with most agronomic traits. Strong, not previously documented, negative correlations were observed between average internal infection (a measure of blackleg disease) and arachidic and stearic acids. The genetic correlations between fatty acid traits followed the expected patterns based on oil biosynthesis pathways. Genomic prediction accuracy ranged from 0.29 for emergence count to 0.69 for seed yield. The incorporation of G × E translates into improved prediction accuracy by up to 6%. The genomic prediction accuracies achieved indicate that genomic selection is ready for application in canola breeding.


2017 ◽  
Vol 63 ◽  
pp. 21-27 ◽  
Author(s):  
Runfeng Wang ◽  
Manu P. Gangola ◽  
Sarita Jaiswal ◽  
Pooran M. Gaur ◽  
Monica Båga ◽  
...  

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