Unraveling the Genetic Basis of Key Agronomic Traits of Wrinkled Vining Pea (Pisum sativum L.) for Sustainable Production

Alemu, Admas; Brantestam, Agnese Kolodinska; Chawade, Aakash

doi:10.3389/fpls.2022.844450

Cited by 11 publications

(12 citation statements)

References 79 publications

(96 reference statements)

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“…The observed LD decay was much faster than that reported by Alemu et al (2022) for a collection of 188 vining pea varieties and breeding lines provided by a single company (where r 2 = 0.2 was reached at 6,930,000 bp on average vs. 1,445 bp in our study), while being slower compared to what reported by Pavan et al (2022) for a larger germplasm collection (where r 2 = 0.2 was reached at 30 bp on average). These results are in substantial accordance with expectations, considering that the first genetic base was likely much narrower, while the second one was more diversified, relative to the current one.…”

Section: Trait Acontrasting

confidence: 48%

Genomic prediction and allele mining of agronomic and morphological traits in pea (Pisum sativum) germplasm collections

Crosta,

Romani,

Nazzicari

et al. 2023

Front. Plant Sci.

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Well-performing genomic prediction (GP) models for polygenic traits and molecular marker sets for oligogenic traits could be useful for identifying promising genetic resources in germplasm collections, setting core collections, and establishing molecular variety distinction. This study aimed at (i) defining GP models and key marker sets for predicting 15 agronomic or morphological traits in germplasm collections, (ii) verifying the GP model usefulness also for selection in breeding programs, (iii) investigating the consistency between molecular and phenotypic diversity patterns, and (iv) identifying genomic regions associated with to the target traits. The study was based on phenotyping data and over 41,000 genotyping-by-sequencing-generated SNP markers of 220 landraces or old cultivars belonging to a world germplasm collection and 11 modern cultivars. Non-metric multi-dimensional scaling (NMDS) and an analysis of population genetic structure indicated a high level of genetic differentiation of material from Western Asia, a major West-East diversity gradient, and quite limited genetic diversity of the improved germplasm. Mantel’s test revealed a low correlation (r = 0.12) between phenotypic and molecular diversity, which increased (r = 0.45) when considering only the molecular diversity relative to significant SNPs from genome-wide association analyses. These analyses identified, inter alia, several areas of chromosome 6 involved in a largely pleiotropic control of vegetative or reproductive organ pigmentation. We found various significant SNPs for grain and straw yield under severe drought and onset of flowering, and one SNP on chromosome 5 for grain protein content. GP models displayed moderately high predictive ability (0.43 to 0.61) for protein content, grain and straw yield, and onset of flowering, and high predictive ability (0.76) for individual seed weight, based on intra-population, intra-environment cross-validations. The inter-population, inter-environment assessment of the models trained on the germplasm collection for breeding material of three recombinant inbred line (RIL) populations, which was challenged by much narrower diversity of the material, over eight-fold less available markers and quite different test environments, led to an overall loss of predictive ability of about 40% for seed weight, 50% for protein content and straw yield, and 60% for onset of flowering, and no prediction for grain yield. Within-RIL population predictive ability differed among populations.

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Section: Trait Acontrasting

confidence: 48%

Genomic prediction and allele mining of agronomic and morphological traits in pea (Pisum sativum) germplasm collections

Crosta,

Romani,

Nazzicari

et al. 2023

Front. Plant Sci.

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“…[405][406][407] It has been a model plant in genetics since the 18th century. 408 From peas, a high protein content can be extracted with potential for application as a food ingredient, and this statement is corroborated by the results obtained in the work of Arteaga et al 409 In addition, peas are also an important source of starch, which can be extracted from their two seed phenotypes: the "smooth" and "wrinkled" type. 410,411 From the pea it is possible to extract approximately 45.9% 412 and 85.97% 413 of starch, which is the most abundant carbohydrate.…”

Section: Pla/pea Starchmentioning

confidence: 63%

Polymer blends of poly(lactic acid) and starch for the production of films applied in food packaging: A brief review

Silva

Rios

Santana

2023

Polymers from Renewable Resources

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The limited degradation of synthetic polymers used in food packaging when discarded in the environment is a major concern for society. Therefore, industry and academia have sought to develop biodegradable and eco-friendly materials for single-use in packaging. An interesting alternative for the food industry is biodegradable polymeric films, which is why different biopolymers have been used in the production of sustainable packaging. It is worth mentioning that the use of biodegradable polymers is one of the most successful innovations in the industry to address issues related to the environment. Among the available raw materials, starch extracted from different renewable sources is very promising for this purpose, due to its abundance, low-cost compared to other polymers and ability to produce non-toxic films. However, when used alone, pure starch has many limitations, which can be overcome by developing a mixture with other polymers (polymer blends), preferably from renewable and biodegradable sources, such as poly(lactic acid) (PLA). In this context, the absence of literature reviews evidencing the results of the application of films in foods led us to write this article, given the importance of polymer blends produced with different types of starch (cassava, corn, pea, potato, rice and wheat) and the PLA matrix. According to the results, it is clear that polymer blends based on PLA/Starch for food packaging are very promising, already being part of the industries solutions, aiming to minimize the large volume of plastic waste of petrochemical origin discarded in nature. Obviously, as with any technology, more research is needed to further improve the performance of the films, and while much research has made great strides, there are still limitations that prevent the commercialization of these materials.

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“…Several reports on different crops including legumes have shown the potential of using DArTseq to determine population structures and associating genetic markers with different traits ( Akbari et al., 2006 ; Raman et al., 2014 ; Aznar-Fernández et al., 2020 ; Alemu et al., 2022 ). By using DArTseq in this population we could identify 6,606 SNP markers evenly distributed in the faba bean genome, and 51 of those markers were identified to be associated with ten of the characterized traits through our GWAS.…”

Section: Discussionmentioning

confidence: 99%

Novel SNP markers for flowering and seed quality traits in faba bean (Vicia faba L.): characterization and GWAS of a diversity panel

Ohm,

Åstrand,

Ceplitis

et al. 2024

Front. Plant Sci.

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Faba bean (Vicia faba L.) is a legume crop grown in diverse climates worldwide. It has a high potential for increased cultivation to meet the need for more plant-based proteins in human diets, a prerequisite for a more sustainable food production system. Characterization of diversity panels of crops can identify variation in and genetic markers for target traits of interest for plant breeding. In this work, we collected a diversity panel of 220 accessions of faba bean from around the world consisting of gene bank material and commercially available cultivars. The aims of this study were to quantify the phenotypic diversity in target traits to analyze the impact of breeding on these traits, and to identify genetic markers associated with traits through a genome-wide association study (GWAS). Characterization under field conditions at Nordic latitude across two years revealed a large genotypic variation and high broad-sense heritability for eleven agronomic and seed quality traits. Pairwise correlations showed that seed yield was positively correlated to plant height, number of seeds per plant, and days to maturity. Further, susceptibility to bean weevil damage was significantly higher for early flowering accessions and accessions with larger seeds. In this study, no yield penalty was found for higher seed protein content, but protein content was negatively correlated to starch content. Our results showed that while breeding advances in faba bean germplasm have resulted in increased yields and number of seeds per plant, they have also led to a selection pressure towards delayed onset of flowering and maturity. DArTseq genotyping identified 6,606 single nucleotide polymorphisms (SNPs) by alignment to the faba bean reference genome. These SNPs were used in a GWAS, revealing 51 novel SNP markers significantly associated with ten of the assessed traits. Three markers for days to flowering were found in predicted genes encoding proteins for which homologs in other plant species regulate flowering. Altogether, this work enriches the growing pool of phenotypic and genotypic data on faba bean as a valuable resource for developing efficient breeding strategies to expand crop cultivation.

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Unraveling the Genetic Basis of Key Agronomic Traits of Wrinkled Vining Pea (Pisum sativum L.) for Sustainable Production

Cited by 11 publications

References 79 publications

Genomic prediction and allele mining of agronomic and morphological traits in pea (Pisum sativum) germplasm collections

Genomic prediction and allele mining of agronomic and morphological traits in pea (Pisum sativum) germplasm collections

Polymer blends of poly(lactic acid) and starch for the production of films applied in food packaging: A brief review

Novel SNP markers for flowering and seed quality traits in faba bean (Vicia faba L.): characterization and GWAS of a diversity panel

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