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97 results for “Chickpea”
Effect of experimental flour preparation and thermal treatment on the volatile properties of aqueous chickpea flour suspensions
<p>Final data used for figures in the paper: Noordraven, L. E., Buvé, C., Grauwet, T., & Van Loey, A. M. (2022). Effect of experimental flour preparation and thermal treatment on the volatile properties of aqueous chickpea flour suspensions. <em>LWT</em>, 113171.</p>
Effect of processing and microstructural properties of chickpea-flours on in vitro digestion and appetite sensations
<p>The data used for the graphs in the paper: </p> <p><strong>Pälchen, Katharina</strong>; Bredie, Wender, L.P.; Duijsens, Dorine; de Castilo, Alan; Hendrickx, Marc; Van Loey, Ann; Raben, Anne; Grauwet, Tara; 2022. Effect of processing and microstructural properties of chickpea-flours on <em>in vitro</em> digestion and appetite sensations. Food Research International, 111245.</p> <p><a href="https://doi.org/10.1016/j.foodres.2022.111245">https://doi.org/10.1016/j.foodres.2022.111245</a></p> <p> </p>
Planteome/CO_338-chickpea-traits: CO_338-chickpea-traits ontology
<p>Chickpea Trait Dictionary in template v5 - ICRISAT - July 2015</p>
Expression data of the flowering time genes in chickpea, extracted from Ridge et al. (2017). Plant Physiology 175, 802-815.
<p>This data is supplementary to the following paper: Gursky, V.V., Kozlov, K.N., Nuzhdin, S.V., and Samsonova, M.G. (2018) Dynamical Modeling of the Core Gene Network Controlling Flowering Suggests Cumulative Activation from the <em>FLOWERING LOCUS T </em>Gene Homologs in Chickpea. <em>Frontiers in Genetics</em>. 9:547. doi: 10.3389/fgene.2018.00547</p> <p>The data was obtained by digitizing Figure 5 of the following paper: Ridge, S., Deokar, A., Lee, R., Daba, K., Macknight, R. C., Weller, J. L., and Tar'an, B. (2017). The chickpea Early flowering 1 (Efl1) locus is an ortholog of arabidopsis ELF3. <em>Plant Physiology </em>175, 802-815. doi:10.1104/pp.17.00082</p> <p>The archive contains files (in csv format) with the expression data of each of the following ten genes: <em>FTa1</em>, <em>FTa2</em>, <em>FTa3</em>, <em>FTb</em>, <em>FTc</em>, <em>AP1</em>, <em>FD</em>, <em>TFL1a</em>, <em>TFL1c</em>, and <em>LFY</em>, for the cultivars CDC Frontier and ICCV 96029 and for two growth conditions (long day, LD, and short day, SD). Each file is named according to the following scheme: <Gene name>_<Cultivar name>_<Growth conditions>.csv. Each file contains values in the following three columns (separated by commas): time (in days after sowing), relative transcription level (%ACTIN), and standard error. In the case of the genes <em>AP1</em>, <em>FD</em>, <em>TFL1a</em>, <em>TFL1c</em>, and <em>LFY</em>, the standard error was assumed equal to the size of the points in the figure when the actual error range was smaller than that size (and, thus, not visible in the figure). In the case of the genes <em>FTa1</em>, <em>FTa2</em>, <em>FTa3</em>, <em>FTb</em>, and <em>FTc</em>, the standard error was recorded as 0 for such points (the error for these genes was not used in the study).</p> <p>The data was extracted with the help of the web-based tool <em>WebPlotDigitizer</em> (https://automeris.io/WebPlotDigitizer).</p>
In vitro protein and starch digestion kinetics of individual chickpea cells: from static to more complex in vitro digestion approaches
<p>Attention has been given to more (semi-)dynamic <em>in vitro</em> digestion approaches ascertaining the consequences of dynamic <em>in vivo </em>aspects on <em>in vitro </em>digestion kinetics. As these often come with time and economical constraints, evaluating the consequence of stepwise increasing the complexity of static <em>in vitro </em>approaches using easy-to-handle digestion set-ups has been the center of our interest.</p> <p>Starting from the INFOGEST static <em>in vitro </em>protocol, we studied the influence of static gastric pH <em>versus </em>gradual gastric pH change (pH 6.3 to pH 2.5 in 2 h) on macronutrient digestion in individual cotyledon cells derived from chickpeas. Little effect on small intestinal proteolysis was observed comparing the applied digestion conditions. Contrary, the implementation of a gradual gastric pH change, with and without the addition of salivary α-amylase, altered starch digestion kinetics rates, and extents by 25%. The evaluation of starch and protein digestion, being co-embedded in cotyledon cells, did not only confirm but accounted for the interdependent digestion behavior. The insights generated in this study demonstrate the possibility of using a hypothesis-based approach to introduce dynamic factors to <em>in vitro</em> models while sticking to simple and cost-efficient set-ups.</p> <p> </p> <p>The data used for the graphs in the paper: K. Pälchen, D. Michels, D. Duijsens, S. T. Gwala, A. K. Pallares Pallares, M. Hendrickx, A. Van Loey and T. Grauwet, Food Funct., 2021, DOI: 10.1039/D1FO01123E</p>
Contrasting patterns in biomass allocation, root morphology and mycorrhizal symbiosis for phosphorus acquisition among 20 chickpea genotypes with different amounts of rhizosheath carboxylates
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Data from: Neither yield nor phenology scale from single row to whole plot in chickpea and lentil
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Data from: Quantitative trait loci for cold tolerance in chickpea
Fall-sown chickpea (Cicer arietinum L.) yields are often double those of spring-sown chickpea in regions with Mediterranean climates that have mild winters. However, winter kill can limit the productivity of fall-sown chickpea. Developing cold-tolerant chickpea would allow the expansion of the current geographic range where chickpea is grown and also improve productivity. The objective of this study was to identify the quantitative trait loci (QTL) associated with cold tolerance in chickpea. An interspecific recombinant inbred line population of 129 lines derived from a cross between ICC 4958, a cold-sensitive desi type (C. arietinum), and PI 489777, a cold-tolerant wild relative (C. reticulatum Ladiz), was used in this study. The population was phenotyped for cold tolerance in the field over four field seasons (September 2011–March 2015) and under controlled conditions two times. The population was genotyped using genotyping-by-sequencing, and an interspecific genetic linkage map consisting of 747 single nucleotide polymorphism (SNP) markers, spanning a distance of 393.7 cM, was developed. Three significant QTL were found on linkage groups (LGs) 1B, 3, and 8. The QTL on LGs 3 and 8 were consistently detected in six environments with logarithm of odds score ranges of 5.16 to 15.11 and 5.68 to 23.96, respectively. The QTL CT Ca-3.1 explained 7.15 to 34.6% of the phenotypic variance in all environments, whereas QTL CT Ca-8.1 explained 11.5 to 48.4%. The QTL-associated SNP markers may become useful for breeding with further fine mapping for increasing cold tolerance in domestic chickpea.
Comparative karyotype analysis in chickpea (Cicer arietinum L.) using oligo painting FISH
<p>Chickpea (<i>Cicer arietinum</i> L.) is one of the main sources of plant proteins in the Indian subcontinent and West Asia, where two different morphotypes, desi and kabuli, are grown. Despite the progress in genome mapping and sequencing, the knowledge of chickpea genome at chromosomal level, including the long-range molecular chromosome organization is limited. Earlier cytogenetic studies in chickpea suffered from limited number of cytogenetic landmarks and did not permit to identify individual chromosomes in the metaphase spreads or to anchor pseudomolecules to chromosomes <i>in situ</i>. In this study, we developed a system for fast molecular karyotyping for both morphotypes of cultivated chickpea<i>. </i>We demonstrate that even draft genome sequences are adequate to develop oligo-FISH barcodes for identification of chromosomes and comparative analysis among closely related chickpea genotypes. Our results show the potential of oligo-FISH barcoding for identification of structural changes in chromosomes, which accompanied genome diversification among chickpea cultivars. Moreover, oligo-FISH barcoding in chickpea pointed out some problematic, most probably wrongly assembled regions of the pseudomolecules of both, kabuli and desi reference genomes. Thus, oligo painting appears as a powerful tool not only for comparative karyotyping, but also for validation of genome assemblies.</p>
Metabolic Availability of Methionine From Chickpeas in Adult Men
ClinicalTrials.gov study NCT03339154. IPD Sharing: NO. Countries: 1. Publications: 1.
Metabolic Availability of Methionine and Lysine From Rice, Wheat, Chickpea and Lentil in Adult Men
ClinicalTrials.gov study NCT03674736. IPD Sharing: NO. Countries: 1. Publications: 3.
Production of Fortified Biscuit With Chickpea and Crushed Peanut for Improving Cognitive Performance
ClinicalTrials.gov study NCT05281146. IPD Sharing: YES. Countries: 1. Publications: 17.
Comparative karyotype analysis in chickpea (Cicer arietinum L.) using oligo painting FISH
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Data from: Quantitative trait loci for cold tolerance in chickpea
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Figure 3 in Response of Rhizobacterial strains and organic amendments on chickpea growth
Figure 3. Soil phosphorus as affected by Rhizobacterial strains. T: control. T: Enterobactor asburiae. T: Enterobacter mori. T: rhizobiu 1 2 3 4 ceceri. T 5: Pesodomonas aeruginosa. T 6: Pesodomonas putida.
Figure 2 in Antioxidant status and their enhancements strategies for water stress tolerance in chickpea
Figure 2. (a) Influence of exogenous application of osmoprotectants on relative growth rate (g g-1 day-1) of chickpea genotypes in Bahawalpur; (b) Influence of exogenous application of osmoprotectants on relative growth rate (g g-1 day-1) of chickpea genotypes in Cholistan. Whereas D1= well watered; D2= Drought at flowering+ pod formation + grain filling stage; D3= Drought at flowering stage; DAS, Days after sowing.
Impact of processing and storage conditions on the volatile profile of whole chickpeas (Cicer arietinum L.)
<p>Supplementary table and final data used for figures in the paper: https://doi.org/10.1021/acsfoodscitech.1c00108</p>
Chickpea RNASeq dataset
<p>Chickpea dataset with metadata</p>
Consumption of Potatoes, Avocados and Chickpeas and Cognitive Function in Older Adults
ClinicalTrials.gov study NCT01620567. IPD Sharing: NO. Countries: 1. Publications: 0.
Effects of Adding Chickpeas to the American Diet (Long Term Study)
ClinicalTrials.gov study NCT02375373. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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