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Elfadil E Babiker - One of the best experts on this subject based on the ideXlab platform.
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effect of germination on antinutritional factors total and extractable Minerals of high and low phytate corn zea mays l genotypes
Journal of the Saudi Society of Agricultural Sciences, 2012Co-Authors: Awad M Sokrab, Isam Mohamed A Ahmed, Elfadil E BabikerAbstract:Two corn genotypes, Var-113 (high phytate) and TL-98B-6225-9·TL617 (low phytate) were germinated for 6 days. The germinated seeds were dried and milled. Phytic acid, polyphenols, and hydrochloric acid (HCl) extractable Minerals were determined at intervals of two days of ger- mination. Phytic acid decreased significantly (P 6 0.05) with a concomitant increase in HCl extract- able Minerals, while polyphenol contents increased significantly (P 6 0.05) with an increase in germination time. However, the Major Mineral content was initially decreased and then increased while that of trace Minerals was increased with germination time. After 6 days of germination, the high phytate sample (Var-113) exhibited higher extractable calcium compared to the other geno- type, whereas the low phytate sample (TL-98B-6225-9·TL617) showed higher extractable phospho- rus. Iron extractability was higher for the low phytate samples, while that of magnesium was higher for the high phytate sample. High correlation between lower phytate and higher extractable miner- als was noted as a function of longer germination time. Nevertheless, no correlation was observed between polyphenol content and Mineral extractability level.
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effect of malting and fermentation on antinutrients and total and extractable Minerals of high and low phytate corn genotypes
International Journal of Food Science and Technology, 2012Co-Authors: Awad M Sokrab, Isam Mohamed A Ahmed, Elfadil E BabikerAbstract:Summary Two corn genotypes, Var-113 (high phytate) and TL-98B-6225-9 × TL617 (low phytate), were germinated for 6 days. The germinated grains were dried and milled. A mixture of 5% malt and 95% corn flour was fermented for 14 days. Phytic acid and polyphenol contents and hydrochloric acid (HCl) extractability of Minerals from the fermented flours were determined at the intervals of 2 days during fermentation. Phytic acid and polyphenol contents decreased significantly (P ≤ 0.05) with an increase in fermentation time, with a concomitant increase in HCl-extractable Minerals. For both genotypes, the Major Mineral content was increased, while that of trace Minerals was increased but at slow rate with fermentation time. When the grains were fermented for 14 days, TL-98B-6225-9 × TL617 genotype had higher extractable calcium and Var-113 had higher extractable phosphorus, whereas iron and manganese recorded high extractability levels in Var-113. There was good correlation between phytate and polyphenol level reduction and the increment in extractable Minerals with fermentation time.
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antinutritional factor content and hydrochloric acid extractability of Minerals in pearl millet cultivars as affected by germination
International Journal of Food Sciences and Nutrition, 2007Co-Authors: Samia M Abdelrahaman, Hagir B Elmaki, Wisal H Idris, Amro B Hassan, Elfadil E Babiker, Abdullahi El H TinayAbstract:Four pearl millet cultivars of two different species—Kordofani and Ugandi (Pennisetum typhoideum) and Madelkawaya and Shambat (Pennisetum glaucum)—were germinated for 6 days. The germinated grains were dried and milled. Phytic acid and polyphenol contents and hydrochloric acid (HCl) extractability of Minerals from the malt flours were determined at intervals of 2 days during germination. Phytic acid and polyphenol contents decreased significantly (P≤0.01) with an increase in germination time, with a concomitant increase in HCl extractable Minerals. However, the Major Mineral content was significantly decreased while that of trace Minerals was increased with germination time. When the grains were germinated for 6 days, Madelkawaya had higher extractable calcium while Ugandi had higher extractable phosphorus, whereas iron and manganese recorded high levels in Shambat and Madelkawaya, respectively. There was good correlation between antinutritional factors reduction and the increment in extractable Minerals ...
G Visentin - One of the best experts on this subject based on the ideXlab platform.
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phenotypic characterisation of Major Mineral composition predicted by mid infrared spectroscopy in cow milk
Italian Journal of Animal Science, 2017Co-Authors: G Visentin, Martino Cassandro, Mauro Penasa, Giovanni Niero, Massimo De MarchiAbstract:AbstractPopulation-level phenotyping is, for some traits, hardly achievable due to limitation of reference analyses. Mid-infrared spectroscopy (MIRS) is a quick and cost-effective laboratory technique allowing the prediction of innovative milk quality features on a large scale. The present study aimed at investigating factors associated with milk Ca, K, Mg, Na and P contents predicted by MIRS models on a large multi-breed spectral data set of 123,240 test-day records. Two dairy (Holstein–Friesian and Brown Swiss) and two dual-purpose (Simmental and Alpine Grey) cattle breeds were considered. Sources of variation of predicted milk Mineral contents were studied using linear mixed models, including the fixed effects of breed, month of sampling, stage of lactation, parity and interactions between the main effects. Random factors were herd nested within breed, cow nested within breed and the residual. Calcium content was greater in milk of dual-purpose than dairy cattle breeds. Simmental cows produced milk wit...
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phenotypic characterisation of milk technological traits protein fractions and Major Mineral and fatty acid composition of burlina cattle breed
Italian Journal of Animal Science, 2016Co-Authors: Giovanni Niero, Mauro Penasa, G Visentin, Sofia Ton, Massimo De Marchi, Martino CassandroAbstract:AbstractThe aim of the present study was to characterise milk of Burlina local cattle breed for traits of technological and nutritional relevance, such as milk coagulation properties (MCP), and protein, Major Mineral and fatty acid (FA) composition. Burlina is mainly reared in mountain areas of Veneto Region (Italy) and it has been inserted in conservation plans aiming to avoid biodiversity loss and marginal pasture areas abandonment. Eighty-one individual milk samples were collected in four farms. Milk coagulation properties were determined using Formagraph, and protein, Mineral and FA composition were analysed in high performance liquid chromatography, inductively coupled plasma optical emission spectrometry and gas chromatography, respectively. Results evidenced good protein percentage (3.38%) and considerable casein content (28.89 mg/mL), as well as a desirable FA profile, with ω-6 to ω-3 ratio of 4.04. Somatic cell score, averaging 3.13, is a trait that should be enhanced through the improvement of f...
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predictive ability of mid infrared spectroscopy for Major Mineral composition and coagulation traits of bovine milk by using the uninformative variable selection algorithm
Journal of Dairy Science, 2016Co-Authors: G Visentin, Martino Cassandro, Mauro Penasa, P Gottardo, M De MarchiAbstract:Milk Minerals and coagulation properties are important for both consumers and processors, and they can aid in increasing milk added value. However, large-scale monitoring of these traits is hampered by expensive and time-consuming reference analyses. The objective of the present study was to develop prediction models for Major Mineral contents (Ca, K, Mg, Na, and P) and milk coagulation properties (MCP: rennet coagulation time, curd-firming time, and curd firmness) using mid-infrared spectroscopy. Individual milk samples (n=923) of Holstein-Friesian, Brown Swiss, Alpine Grey, and Simmental cows were collected from single-breed herds between January and December 2014. Reference analysis for the determination of both Mineral contents and MCP was undertaken with standardized methods. For each milk sample, the mid-infrared spectrum in the range from 900 to 5,000cm(-1) was stored. Prediction models were calibrated using partial least squares regression coupled with a wavenumber selection technique called uninformative variable elimination, to improve model accuracy, and validated both internally and externally. The average reduction of wavenumbers used in partial least squares regression was 80%, which was accompanied by an average increment of 20% of the explained variance in external validation. The proportion of explained variance in external validation was about 70% for P, K, Ca, and Mg, and it was lower (40%) for Na. Milk coagulation properties prediction models explained between 54% (rennet coagulation time) and 56% (curd-firming time) of the total variance in external validation. The ratio of standard deviation of each trait to the respective root mean square error of prediction, which is an indicator of the predictive ability of an equation, suggested that the developed models might be effective for screening and collection of milk Minerals and coagulation properties at the population level. Although prediction equations were not accurate enough to be proposed for analytic purposes, mid-infrared spectroscopy predictions could be evaluated as phenotypic information to genetically improve milk Minerals and MCP on a large scale.
Pierre Dardenne - One of the best experts on this subject based on the ideXlab platform.
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Potential estimation of Major Mineral contents in cow milk using mid-infrared spectrometry
Journal of Dairy Science, 2009Co-Authors: Hélène Soyeurt, D Veselko, C Bertozzi, D Bruwier, J.-M. Romnee, Nicolas Gengler, Pierre DardenneAbstract:Milk and dairy products are a Major source of Minerals, particularly calcium, involved in several metabolic functions in humans. Currently, several dairy products are enriched with calcium to prevent osteoporosis. The development of an inexpensive and fast quantitative analysis for Minerals is required to offer dairy farmers an opportunity to improve the added value of the produced milk. The aim of this study was to develop 5 equations to measure Ca, K, Mg, Na, and P contents directly in bovine milk using mid-infrared (MIR) spectrometry. A total of 1,543 milk samples were collected between March 2005 and May 2006 from 478 cows during the Walloon milk recording and analyzed by MIR spectrometry. Using a principal component approach, 62 milk samples were selected by their spectral variability and separated in 2 calibration sets. Five outliers were detected and deleted. The Mineral contents of the selected samples were measured by inductively coupled plasma atomic emission spectrometry. Using partial least squares combined with a repeatability file, 5 calibration equations were built to estimate the contents of Ca, K, Mg, Na, and P in milk. To assess the accuracy of the developed equations, a full cross-validation and an external validation were performed. The cross-validation coefficients of determination (R2cv) were 0.80, 0.70, and 0.79 for Ca, Na, and P, respectively (n = 57), and 0.23 and 0.50 for K and Mg, respectively (n = 31). Only Ca, Na, and P equations showed sufficient R2cv for a potential application. These equations were validated using 30 new milk samples. The validation coefficients of determination were 0.97, 0.14, and 0.88 for Ca, Na, and P, respectively, suggesting the potential to use the Ca and P calibration equations. The last 30 samples were added to the initial milk samples and the calibration equations were rebuilt. The R2cv for Ca, K, Mg, Na, and P were 0.87, 0.36, 0.65, 0.65, and 0.85, respectively, confirming the potential utilization of the Ca and P equations. Even if new samples should be added in the calibration set, the first results of this study showed the feasibility to quantify the calcium and phosphorus directly in bovine milk using MIR spectrometry.
Isam Mohamed A Ahmed - One of the best experts on this subject based on the ideXlab platform.
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effect of germination on antinutritional factors total and extractable Minerals of high and low phytate corn zea mays l genotypes
Journal of the Saudi Society of Agricultural Sciences, 2012Co-Authors: Awad M Sokrab, Isam Mohamed A Ahmed, Elfadil E BabikerAbstract:Two corn genotypes, Var-113 (high phytate) and TL-98B-6225-9·TL617 (low phytate) were germinated for 6 days. The germinated seeds were dried and milled. Phytic acid, polyphenols, and hydrochloric acid (HCl) extractable Minerals were determined at intervals of two days of ger- mination. Phytic acid decreased significantly (P 6 0.05) with a concomitant increase in HCl extract- able Minerals, while polyphenol contents increased significantly (P 6 0.05) with an increase in germination time. However, the Major Mineral content was initially decreased and then increased while that of trace Minerals was increased with germination time. After 6 days of germination, the high phytate sample (Var-113) exhibited higher extractable calcium compared to the other geno- type, whereas the low phytate sample (TL-98B-6225-9·TL617) showed higher extractable phospho- rus. Iron extractability was higher for the low phytate samples, while that of magnesium was higher for the high phytate sample. High correlation between lower phytate and higher extractable miner- als was noted as a function of longer germination time. Nevertheless, no correlation was observed between polyphenol content and Mineral extractability level.
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effect of malting and fermentation on antinutrients and total and extractable Minerals of high and low phytate corn genotypes
International Journal of Food Science and Technology, 2012Co-Authors: Awad M Sokrab, Isam Mohamed A Ahmed, Elfadil E BabikerAbstract:Summary Two corn genotypes, Var-113 (high phytate) and TL-98B-6225-9 × TL617 (low phytate), were germinated for 6 days. The germinated grains were dried and milled. A mixture of 5% malt and 95% corn flour was fermented for 14 days. Phytic acid and polyphenol contents and hydrochloric acid (HCl) extractability of Minerals from the fermented flours were determined at the intervals of 2 days during fermentation. Phytic acid and polyphenol contents decreased significantly (P ≤ 0.05) with an increase in fermentation time, with a concomitant increase in HCl-extractable Minerals. For both genotypes, the Major Mineral content was increased, while that of trace Minerals was increased but at slow rate with fermentation time. When the grains were fermented for 14 days, TL-98B-6225-9 × TL617 genotype had higher extractable calcium and Var-113 had higher extractable phosphorus, whereas iron and manganese recorded high extractability levels in Var-113. There was good correlation between phytate and polyphenol level reduction and the increment in extractable Minerals with fermentation time.
M De Marchi - One of the best experts on this subject based on the ideXlab platform.
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predictive ability of mid infrared spectroscopy for Major Mineral composition and coagulation traits of bovine milk by using the uninformative variable selection algorithm
Journal of Dairy Science, 2016Co-Authors: G Visentin, Martino Cassandro, Mauro Penasa, P Gottardo, M De MarchiAbstract:Milk Minerals and coagulation properties are important for both consumers and processors, and they can aid in increasing milk added value. However, large-scale monitoring of these traits is hampered by expensive and time-consuming reference analyses. The objective of the present study was to develop prediction models for Major Mineral contents (Ca, K, Mg, Na, and P) and milk coagulation properties (MCP: rennet coagulation time, curd-firming time, and curd firmness) using mid-infrared spectroscopy. Individual milk samples (n=923) of Holstein-Friesian, Brown Swiss, Alpine Grey, and Simmental cows were collected from single-breed herds between January and December 2014. Reference analysis for the determination of both Mineral contents and MCP was undertaken with standardized methods. For each milk sample, the mid-infrared spectrum in the range from 900 to 5,000cm(-1) was stored. Prediction models were calibrated using partial least squares regression coupled with a wavenumber selection technique called uninformative variable elimination, to improve model accuracy, and validated both internally and externally. The average reduction of wavenumbers used in partial least squares regression was 80%, which was accompanied by an average increment of 20% of the explained variance in external validation. The proportion of explained variance in external validation was about 70% for P, K, Ca, and Mg, and it was lower (40%) for Na. Milk coagulation properties prediction models explained between 54% (rennet coagulation time) and 56% (curd-firming time) of the total variance in external validation. The ratio of standard deviation of each trait to the respective root mean square error of prediction, which is an indicator of the predictive ability of an equation, suggested that the developed models might be effective for screening and collection of milk Minerals and coagulation properties at the population level. Although prediction equations were not accurate enough to be proposed for analytic purposes, mid-infrared spectroscopy predictions could be evaluated as phenotypic information to genetically improve milk Minerals and MCP on a large scale.
