Genetic variability for feeding value of faba bean seeds (Vicia faba): Comparative chemical composition of isogenics involving zero-tannin and zero-vicine genes

1999 ◽  
Vol 133 (2) ◽  
pp. 185-196 ◽  
Author(s):  
G. DUC ◽  
P. MARGET ◽  
R. ESNAULT ◽  
J. LE GUEN ◽  
D. BASTIANELLI
Keyword(s):  
Chemical Composition ◽  
Faba Bean ◽  
Condensed Tannins ◽  
Large Variability ◽  
Feeding Value ◽  
Trypsin Inhibitory Activity ◽  
Total Seed ◽  
Seed Coats ◽  
Phytic Phosphorus ◽  
Detailed Chemical

In a preliminary experiment, 74 faba bean genotypes including winter genotypes (autumn-sown) and spring genotypes (spring-sown) and isogenic population pairs (tannin-containing v. tannin-free and vicine/convicine-high v. vicine/convicine-low), were analysed for the chemical composition of their seeds. A large variability was found for the main constituents (starch, protein and fibre). Autumn-sown genotypes contained 2·3% less proteins but 2·5% more starch in the seed dry matter (DM) than spring-sown genotypes. The vc− gene, which lowers the vicine and convicine contents, did not significantly modify the main seed components in the isogenic comparisons. The zt1 and zt2 genes, which eliminate condensed tannins in the seed coats, lowered by 2·1% the proportion of the seed coat in the DM. In the isogenic comparisons, the zt2 gene had a stronger effect than zt1 in reducing the total seed fibre and increasing the protein content.In a second experiment, from the original 74 genotypes, 12 contrasted genotypes were selected and multiplied for animal nutrition trials. Their chemical analysis confirmed the variability between the faba bean categories observed in Expt 1, but detailed chemical analyses illustrated the variability in amino acid, fatty acid, amylose and oligosaccharide composition, trypsin inhibitory activity, condensed tannins, lectins and phytic phosphorus contents.

scholarly journals Chemical Composition and Antimicrobial Activities of the Essential Oil From the Leaves of Pterocephalus hookeri

2020 ◽  
Vol 15 (12) ◽  
pp. 1934578X2098123
Author(s):  
Peng-fei Yang ◽  
Hui Lu ◽  
Qiong-bo Wang ◽  
Zhi-wei Zhao ◽  
Qiang Liu ◽  
...  
Keyword(s):  
Gas Chromatography ◽  
Chemical Composition ◽  
Essential Oil ◽  
Chemical Constituents ◽  
Antimicrobial Activities ◽  
Gas Chromatography Mass Spectrometry ◽  
Flame Ionization ◽  
And Staphylococcus Aureus ◽  
Antimicrobial Assay ◽  
Detailed Chemical

Detailed chemical constituents of essential oil from the Pterocephalus hookeri leaves and its antimicrobial activities were investigated in this study. The essential oil, obtained by hydrodistillation, was characterized by gas chromatography-flame ionization detection and gas chromatography-mass spectrometry analyses. Among the 90 identified compounds, hexadecanoic acid (21.27%), phytol (8.03%), furfural (7.08%), oleic acid (5.25%), and phytone (4.56%) were the major components. In the antimicrobial assay, the essential oil showed strong inhibitory activities against Escherichia coli, Candida albicans, and Staphylococcus aureus with minimum inhibitory concentration values of 31.3, 62.5, and 125 µg/mL, respectively. To our knowledge, this is the first report concerning chemical composition and antimicrobial activities of the essential oil from Pterocephalus hookeri.

scholarly journals Temporal Variations in Chemical Composition, In Vitro Digestibility, and Metabolizable Energy of Plant Species Browsed by Goats in Southern Mediterranean Forest Rangeland

Animals ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 1441
Author(s):  
Youssef Chebli ◽  
Samira El Otmani ◽  
Mouad Chentouf ◽  
Jean-Luc Hornick ◽  
Jean-François Cabaraux
Keyword(s):  
Chemical Composition ◽  
Plant Species ◽  
Nutritive Value ◽  
Condensed Tannin ◽  
Metabolizable Energy ◽  
Mediterranean Forest ◽  
In Vitro Digestibility ◽  
Large Variability ◽  
Southern Mediterranean

Forest rangelands contribute largely to goat diets in the Mediterranean area. Information about browsed plant quality is essential for adequate feeding management. The purpose of this study was to evaluate the temporal changes in chemical composition and in vitro digestibility of the main plant species selected by goats in the Southern Mediterranean forest rangeland during two consecutive years; these were very contrasted (dry and wet). The browsed species were composed of herbaceous, eleven shrubs, and four tree species. Overall, large variability in chemical composition, in vitro organic matter digestibility (IVOMD), and metabolizable energy (ME) was observed among species, grazing season (spring, summer, and autumn), and years within each species. Crude protein (CP) content varied from 60 to 240 g/kg dry matter (DM). The fiber fractions, except for Quercus suber, increased significantly by advancing maturity. Due to the water stress, the lignin level presented a higher value during the spring of the dry year. Condensed tannin (CT) content varied from 2 to 184 g/kg DM. CP, IVOMD, and ME showed a negative correlation with lignin and CT. Based on the results presented herein, it is concluded that the nutritive value of the browsed plant species was highest in the spring and lowest during the summer and autumn of both studied years. With a good grazing management strategy, the selected plant species by goats could guarantee high-quality feeding resources throughout the year.

Near Infrared Spectroscopy Estimation of Feeding Value of Forage Perennial Grasses in Breeding Programmes by Global and Specific Calibrations. Estimation of Chemical Composition and Digestibility

1998 ◽  
Vol 6 (1) ◽  
pp. 153-165 ◽  
Author(s):  
Y. Naydenova ◽  
P. Tomov ◽  
P. Dardenne
Keyword(s):  
Cell Wall ◽  
Chemical Composition ◽  
Predictive Models ◽  
Near Infrared ◽  
Perennial Grasses ◽  
Standard Errors ◽  
Breeding Programmes ◽  
Feeding Value ◽  
Pre Treatment ◽  
Better Than

Near infrared (NIR) spectral analysis with a NIRSystems 6500 monochromator was applied to evaluate accuracy of predictive models for forage quality in clone breeding processes of the original Bulgarian varieties over different cuts and years. The varieties were the perennial grasses: Dactylis glomerata L., Festuca arundinacea Schreb. and Bromus inermis Leyss. Global calibrations for the 418 perennial grass samples and specific calibrations for each single grass species and internal cross-validations were performed by the PLS regression method. The effect of different spectral data pre-treatments was investigated on the residual standard errors of the NIR predictive models. Among 60 calibration equations, the model with the lowest SECV value was retained for each parameter in each database. No particular data pre-treatment was really better than the other ones. Generally, the best results of the global calibrations were obtained with SNVD and MSC. For the specific calibrations, SNVD and WMSC were the best treatments. In both cases, the first or second derivatives were needed after the first pre-treatment. Chemical composition and in vitro enzymatic digestibility of clones were predicted with accuracy similar to that of classical laboratory methods. For the cell wall component contents, the standard errors of cross-validation SECV(%DM) ranged from 0.49 for ADL ( Festuca) to 2.02 for NDF ( Dactylis). The digestibilities of dry and organic matter, IVDMD and IVOMD, were estimated with SECVs from 2.6 to 3.0%, the relative intake, from 0.06 to 0.09 rel% body weight and the relative feeding value, from 4.39 to 5.64 rel%. The global calibration models offer an acceptable accuracy for the estimation of the cell wall nutrient contents, the digestibility and the nutritive value. The standard errors of prediction of specific single species calibrations with smaller numbers of terms were lower in 60% of the cases than those obtained from the best global calibrations with higher numbers of terms. On average, SECVs from specific calibrations are better than those from global calibrations, but the differences are quite small, and for the prediction of totally new samples (new crops, another year), the global calibrations will detect less outlier samples. Even with very high variability between cuts and years, NIR spectroscopy is able via ANOVA GL Models to sort clones on their feeding value and to provide relevant information for the breeding programmes.

scholarly journals Detailed chemical composition of the open cluster IC 4651: The iron peak, $\mathsf{\alpha}$ elements, and Li

2004 ◽  
Vol 424 (3) ◽  
pp. 951-963 ◽  
Author(s):  
L. Pasquini ◽  
S. Randich ◽  
M. Zoccali ◽  
V. Hill ◽  
C. Charbonnel ◽  
...  
Keyword(s):  
Chemical Composition ◽  
Open Cluster ◽  
Detailed Chemical

Chemical composition of globular clusters in dwarf galaxies

2019 ◽  
Vol 14 (S351) ◽  
pp. 317-320
Author(s):  
Søren S. Larsen
Keyword(s):  
Chemical Composition ◽  
Globular Clusters ◽  
Milky Way ◽  
Local Group ◽  
Dwarf Galaxies ◽  
Chemical Abundances ◽  
Preliminary Results ◽  
Detailed Chemical

AbstractThis contribution gives an update on on-going efforts to characterise the detailed chemical abundances of Local Group globular clusters (GCs) from integrated-light spectroscopy. Observations of a sample of 20 GCs so far, located primarily within dwarf galaxies, show that at low metallicities the [α/Fe] ratios are generally indistinguishable from those in Milky Way GCs. However, the “knee” above which [α/Fe] decreases towards Solar-scaled values occurs at lower metallicities in the dwarfs, implying that GCs follow the same trends seen in field stars. Efforts are underway to establish NLTE corrections for integrated-light abundance measurements, and preliminary results for Mn are discussed.

scholarly journals The Effect of Cropping Method and Botanical Form on Seed Yielding and Chemical Composition of Chickpeas (Cicer arietinum L.) Grown under Organic System

Agronomy ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 801
Author(s):  
Jerzy Księżak ◽  
Jolanta Bojarszczuk
Keyword(s):  
Chemical Composition ◽  
Cicer Arietinum ◽  
Organic System ◽  
Cicer Arietinum L ◽  
Cereal Species ◽  
Cereal Plant ◽  
Sole Cropping ◽  
Spring Cereals ◽  
Total Seed ◽  
Seed Yields

A field study was conducted at the Agricultural Experimental Station in Grabów in Poland between 2017–2018. This study evaluated seed yield and chemical composition of chickpeas (Cicer arietinum L.) under organic conditions, either growing as a sole crop, or with barley (Hordeum vulgare) or oats (Avena sativa L.) as supporting plants. Two chickpea types were included in experiment scheme: kabuli and desi. The experiment was established as a split-plot design with four replicates. The study showed that a higher total seed yields of both forms of chickpeas grown in both pure sowing and with spring cereals was obtained in 2018 than 2017. The higher yield in this study period was the result of a greater number of pods, seeds, and higher weight of the chickpea seed and cereal grains on a plant. Higher yields were noted in chickpeas grown with supporting crops than in sole cropping. Significantly better thousand seed weight of both botanical forms of chickpeas was observed in chickpeas grown in sole cropping than with supporting plants. Regardless of cropping method, the desi form was characterized by higher yields than the kabuli type, and its percentage in seed yields of chickpeas grown with cereals was higher than the kabuli type. The highest seed yields were obtained in chickpeas grown with oats. Neither chickpea type had a significant effect on the height of cereal plant, the number of grains on each plant, the number of producing shoots or thousandgrainweight of the two cereal species. Regardless of cropping method, the highest content of fiber and fat was determined in desi-type seeds, while the highest protein and phosphorus content was characterized kabuli-type seeds.

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