Seed protein content and its relationships with agronomic traits in pigeonpea is controlled by both main and epistatic effects QTLs

Obala, Jimmy; Saxena, Rachit K.; Singh, Vikas K.; Kale, Sandip M.; Garg, Vanika; Kumar, C.V. Sameer; Saxena, K. B.; Tongoona, Pangirayi; Sibiya, Julia; Varshney, Rajeev K.

doi:10.1038/s41598-019-56903-z

Cited by 26 publications

(14 citation statements)

References 72 publications

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“…5). In other legumes such as pigeonpea (Cajanus cajan), soybean and pea (Pisum sativum) similar seed protein segregation was reported, although 24.6% in pigeonpea and 33% in pea were considered as high protein genotypes 38,39,40 and are lower than seen here in winged bean. A signi cant QTL explaining 10.8% protein variation was detected on Pt03.1, and three globulin genes were identi ed within two of the three putative QTL, with the QTL cumulatively explaining 18.7% of the total phenotypic variation (Table 2).…”

Section: Quantitative Trait Locus (Qtl) Analysis Of Xb Populationsupporting

confidence: 76%

A genomic toolkit for ‘the soybean of the tropics’ – winged bean (Psophocarpus tetragonolobus)

Tanzi

Sang

et al. 2022

Preprint

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A sustainable supply of plant protein is critical for future generations. We also need to reduce carbon emissions from agriculture, while increasing resilience in the face of elevated temperatures and climate volatility. Agricultural diversification with more crop options is hampered by limited available genomic resources, lack of understanding of the genetic structure of breeding germplasm and important trait inheritance- needed to breed desired ideotypes. Winged bean (Psophocarpus tetragonolobus), a high protein seed tropical legume, has been termed ‘the soybean for the tropics’ with potential to help reduce soybean imports in many tropical and semi-tropical countries. Here we present the first chromosome level winged bean genome assembly (98.9% of 536.1MB scaffolds are assigned), an investigation of genetic diversity of 136 worldwide accessions for breeding, together with the first two genetic maps and a trait QTL analysis for genomic regions with desirable ideotype traits for breeding; namely architecture, protein content and phytonutrients.

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Section: Quantitative Trait Locus (Qtl) Analysis Of Xb Populationsupporting

confidence: 76%

A genomic toolkit for ‘the soybean of the tropics’ – winged bean (Psophocarpus tetragonolobus)

Tanzi

Sang

et al. 2022

Preprint

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“…A negative correlation between protein content as well as dietary fiber to the yield has been reported in various crop species. Thorwarth et al (2019) and Obala et al (2020) also reported a negative correlation between yield and protein content in wheat (Triticum aestivum) and pigeon pea (Cajanus cajan), respectively. Similarly, Londero et al (2006) reported a negative correlation between yield and dietary fiber content in common bean (Phaseolus vulgaris).…”

Section: Correlation Path and Regression Analysismentioning

confidence: 96%

Multivariate analysis unravels genetic diversity and relationship between agronomic traits, protein, and dietary fiber in yardlong bean (Vigna unguiculata subsp. sesquipedalis Verdc.)

et al. 2020

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Abstract. Widyawan MB, Hasanah A, Taryono, Alam T, Sayekti RS, Pramana AAC, Wulandari RA. 2020. Multivariate analysis unravels genetic diversity and relationship between agronomic traits, protein, and dietary fiber in yardlong bean (Vigna unguiculata subsp. sesquipedalis Verdc.). Biodiversitas 21: 5662-5671. Yardlong bean (Vigna unguiculata subsp. sesquipedalis Verdc.) is a vegetable legume that possesses the highest amount of protein and total dietary fiber (TDF) content among other vegetables. However, protein and TDF content diversity are found among yardlong bean genotypes. Genetic improvement to produce cultivars with high yield and improved nutritional content is required. This study aimed to analyze genetic diversity and identify the relationship between important agronomic traits from 21 yardlong bean genotypes assessed by multivariate statistical analysis. The experiment was arranged in alpha design with three replicates, each consist of six blocks. Six pod-related important agronomic traits, protein, and TDF content were observed in this study. Total pod weight, pod weight, and pod length were found to be negatively correlated with protein and TDF content based on correlation and principal component analysis (PCA). Although negatively correlated, several variables possess a large and positive direct effect on protein and TDF content, such as the number of pod, pod weight, and days to flower. D2 analysis and Tocher’s method classify genotypes used in this study into five clusters with diverse traits value. Information from this study laid a foundation for the improvement of important agronomic traits as well as nutritional content in yardlong bean.

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“…Out of 17 CAPS/dCAPS markers, four genic-CAPS/dCAPS markers, spc003 (NADH-GOGAT), spc107 (copper transporter), spc017 (protein kinase), and spc100 (BLISTER) revealed co-segregation with SPC (Table S1). Using five F 2 populations, Obala et al [51] identified 192 QTLs across 10 CcLGs for five traits, namely, seed protein content (SPC) seed weight (SW), seed yield (SY), growth habit (GH), and days to first flowering (DFF) with PVE of 0.7-91.3%. Major effect (PVE ≥ 10%) QTLs included 14 QTLs for SPC, 16 QTLs for SW, 17 QTLs for SY, 19 QTLs for GH, and 24 QTLs for DFF (Table S1).…”

Section: Development Of Trait-associated Markersmentioning

confidence: 99%

Translational Pigeonpea Genomics Consortium for Accelerating Genetic Gains in Pigeonpea (Cajanus cajan L.)

et al. 2020

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Pigeonpea is one of the important pulse crops grown in many states of India and plays a major role in sustainable food and nutritional security for the smallholder farmers. In order to overcome the productivity barrier the Translational Pigeonpea Genomics Consortium (TPGC) was established, representing research institutes from six different states (Andhra Pradesh, Karnataka, Madhya Pradesh, Maharashtra, Telangana, and Uttar Pradesh) of India. To enhance pigeonpea productivity and production the team has been engaged in deploying modern genomics approaches in breeding and popularizing modern varieties in farmers’ fields. For instance, new genetic stock has been developed for trait mapping and molecular breeding initiated for enhancing resistance to fusarium wilt and sterility mosaic disease in 11 mega varieties of pigeonpea. In parallel, genomic segments associated with cleistogamous flower, shriveled seed, pods per plant, seeds per pod, 100 seed weight, and seed protein content have been identified. Furthermore, 100 improved lines were evaluated for yield and desirable traits in multi-location trials in different states. Furthermore, a total of 303 farmers’ participatory varietal selection (FPVS) trials have been conducted in 129 villages from 15 districts of six states with 16 released varieties/hybrids. Additionally, one line (GRG 152 or Bheema) from multi-location trials has been identified by the All India Coordinated Research Project on Pigeonpea (AICRP-Pigeonpea) and released for cultivation by the Central Variety Release Committee (CVRC). In summary, the collaborative efforts of several research groups through TPGC is accelerating genetics gains in breeding plots and is expected to deliver them to pigeonpea farmers to enhance their income and improve livelihood.

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Seed protein content and its relationships with agronomic traits in pigeonpea is controlled by both main and epistatic effects QTLs

Cited by 26 publications

References 72 publications

A genomic toolkit for ‘the soybean of the tropics’ – winged bean (Psophocarpus tetragonolobus)

A genomic toolkit for ‘the soybean of the tropics’ – winged bean (Psophocarpus tetragonolobus)

Multivariate analysis unravels genetic diversity and relationship between agronomic traits, protein, and dietary fiber in yardlong bean (Vigna unguiculata subsp. sesquipedalis Verdc.)

Translational Pigeonpea Genomics Consortium for Accelerating Genetic Gains in Pigeonpea (Cajanus cajan L.)

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