scholarly journals The influence of chemical composition of milk on yield of semi-hard cheese

2010 ◽  
Vol 26 (3-4) ◽  
pp. 167-177 ◽  
Author(s):  
M. Bojanic-Rasovic ◽  
S. Mirecki ◽  
N. Nikolic ◽  
R. Rasovic
Keyword(s):  
Dry Matter ◽  
Matter Content ◽  
Dry Matter Content ◽  
High Positive Correlation ◽  
Positive Correlation ◽  
Average Value ◽  
Theoretical Yield ◽  
Bulk Milk ◽  
Actual Yield ◽  
The Impact

The aim of paper was to examine the impact of the milk quality on yield of semi-hard naturally dried cheese, produced in cheese plant factory ZZ 'Cijevna' in Podgorica. Tests were conducted on 6 samples of bulk milk of cows and 6 productive batch of cheese. Chemical tests of the bulk milk have been done on the device MilcoScan 4000, and the determination content dry matter of whey and dry matter of cheese on the device MilcoScan FT 120. Theoretical yield of cheese was determined in two ways: 1) based on the content of fat and protein content in milk and 2) based on dry matter content of milk, dry matter of whey and dry matter of cheese. Actual yield of cheese is determined on the base of the total amount of cheese obtained after pressing and the amount of wasted milk. The average value for the fat content in the examined milk amounted to 3.79%, protein 3.24%, 4.26% lactose and dry matter content without fat 8.24%. The average value for the theoretical cheese yield by first method was 10.65% and by second method 9,30%. The average of actual cheese yield amounted to 11.26%. We found a very high positive correlation between content of fat in milk and actual cheese yield (0.929032) and mean positive correlation between content of protein in milk and actual cheese yield (0.613141), content of lactose in milk and actual cheese yield (0.651317) and between dry matter content in milk and actual cheese yield (0.651956).

scholarly journals Successive Harvests Modulate the Productive and Physiological Behavior of Three Genovese Pesto Basil Cultivars

Agronomy ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 560
Author(s):  
Luigi Formisano ◽  
Michele Ciriello ◽  
Christophe El-Nakhel ◽  
Marios C. Kyriacou ◽  
Youssef Rouphael
Keyword(s):  
Dry Matter ◽  
Co2 Assimilation ◽  
Stomatal Resistance ◽  
Matter Content ◽  
Dry Matter Content ◽  
Technological Parameters ◽  
Net Co2 Assimilation ◽  
Dry Biomass ◽  
Crop Cycle ◽  
The Impact

In the Italian culinary tradition, young and tender leaves of Genovese basil (Ocimum basilicum L.) are used to prepare pesto sauce, a tasty condiment that attracts the interest of the food processing industry. Like other leafy or aromatic vegetables, basil is harvested more than once during the crop cycle to maximize yield. However, the mechanical stress induced by successive cuts can affect crucial parameters associated with pesto processing (leaf/stem ratio, stem diameter, and dry matter). Our research accordingly aimed to evaluate the impact of successive harvests on three field-grown Genovese basil cultivars (“Aroma 2”, “Eleonora” and “Italiano Classico”) in terms of production, physiological behavior, and technological parameters. Between the first and second harvest, marketable fresh yield and shoot dry biomass increased by 148.4% and 172.9%, respectively; by contrast, the leaf-to-stem ratio decreased by 22.5%, while the dry matter content was unchanged. The increased fresh yield and shoot dry biomass at the second harvest derived from improved photosynthetic efficiency, which enabled higher net CO2 assimilation, Fv/Fm and transpiration as well as reduced stomatal resistance. Our findings suggest that, under the Mediterranean environment, “Italiano Classico” carries superior productive performance and optimal technological characteristics in line with industrial requirements. These promising results warrant further investigation of the impact successive harvests may have on the qualitative components of high-yielding basil genotypes with respect to consumer expectations of the final product.

scholarly journals Flow rate of liquid cattle manure leakage into subsoil during storage

2018 ◽  
Vol 64 (No. 2) ◽  
pp. 49-54
Author(s):  
Vegricht Jiří ◽  
Šimon Josef ◽  
Hájek David ◽  
Bradna Jiří
Keyword(s):  
Flow Rate ◽  
Dry Matter ◽  
Matter Content ◽  
Cattle Manure ◽  
Statistical Dependence ◽  
Dry Matter Content ◽  
Average Value ◽  
Laboratory Conditions ◽  
Coefficient Of Permeability

Under laboratory conditions, seepage of liquid cattle manure with dry matter content of 3–8% through subsoil was studied in relation to its dry matter content and period of storage. Statistical dependence of the total amount of eluate on the dry matter has been found (P = 0.0013). A hypothesis was also confirmed that liquid cattle manure shows a sealing effect during storage. It was found that the average value of coefficient of permeability decreases as soon as 48 hours after the start of storage under the value 5.56171 × 10<sup>–6</sup> cm·s<sup>-1</sup>, which, according to peer reviewed literature, is not hazardous to the environment. The results will help in designing projects of liquid cattle manure reservoirs and assessment of their effect on the environment.

scholarly journals Study of knotweed (Reynoutria) as possible phytomass resource for energy and industrial utilization

2010 ◽  
Vol 56 (No. 3) ◽  
pp. 85-91 ◽  
Author(s):  
Z. Strašil ◽  
J. Kára
Keyword(s):  
Heavy Metals ◽  
Czech Republic ◽  
Dry Matter ◽  
Matter Content ◽  
Ash Content ◽  
Winter Period ◽  
Dry Matter Content ◽  
Reynoutria Japonica ◽  
The Czech Republic ◽  
The Impact

This paper deals with the Reynoutria &times; bohemica and Reynoutria japonica under conditions of the Czech Republic. It evaluates the impact of soil, weather conditions and various terms of harvest (autumn, spring) on the yield, dry matter content, phytomass loss, ash content, and basic elements content change in plants. Heavy metals content was determined in soil where plants were grown and consequently in plants themselves. The average yield of dry matter at the fully closed stands of Reynoutria japonica were 9.06 t/ha in autumn, Reynoutria &times; bohemica from 13.23 to 21.41 t/ha, according to the site. The yield losses within the winter period were found on average 42% for Reynoutria japonica and 34% for Reynoutria &times; bohemica. The moisture decrease of Reynoutria japonica was found from 68% in the autumn to 24% in the spring, and of Reynoutria &times; bohemica from 67% to 23%, respectively. Decreased content of nitrogen, phosphorus, potassium, calcium, and magnesium in the knotweed phytomass was found during the latter (spring) harvest periods in comparison with the earlier harvest periods. Decreased elements content in phytomass during the latter harvest period (spring) increases the phytomass quality as a fuel from both aspects &ndash; technical and emissions generation. The ash content in plants varied according to the site, on average from 3.12% in Ruzyně to 4.6% in Chomutov. None of the heavy metals monitored in knotweed plants reached the maximum admissible values determined for the food or feed purposes in the Czech Republic. From the results of combustion experiments, it is evident that Reynoutria &times; bohemica is a good fuel. Energy sorrel shows the extreme CO concentration in flue gases in comparison with other monitored fuels. According to the ČSN EN 12809 (2001) standard it does not meet even the third class of requirements. On the contrary, knotweed and wood bark fulfill the requirements for the first class. The surprising fact is that both of these fuels show the lower level of CO emissions, than the wooden briquettes. Concentrations of nitrogen oxids are comparable with biofuels, except of wood, and probably are related to the nitrogen content in heating material.

Quality of potatoes in relation to soil and season I. The content of dry matter

1946 ◽  
Vol 36 (3) ◽  
pp. 207-213 ◽  
Author(s):  
H. G. Wager
Keyword(s):  
Dry Matter ◽  
Matter Content ◽  
Soil Types ◽  
Dry Matter Content ◽  
Average Content ◽  
Average Value ◽  
Available Water Content ◽  
Different Seasons ◽  
The Difference

The dry-matter content of about 260 samples of potatoes was determined. The samples were collected over three seasons and from many types of soil.The average dry-matter content of a variety varied from season to season, but it always bore an approximately constant relationship to the average value of other varieties.Wet seasons led to potatoes low in dry matter.The variation in the content of dry matter of potatoes in different seasons and from different soil types is not a direct effect of the water balance of the tubers.The average content of dry matter of potatoes depends on the soil in which they were grown; fen and blackland gave potatoes with the lowest dry matter, followed by skirt, silt and warp, then loam and medium loam, then clay, and the highest dry matter occurred in stocks grown in sands, gravels or light loams.The difference between the soils is discussed, and it is tentatively concluded that the factor responsible for the variation in content of dry matter of the potatoes is the available water content of the soils.

scholarly journals Chickpea Cultivar Selection to Produce Aquafaba with Superior Emulsion Properties

Foods ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 685 ◽  
Author(s):  
Yue He ◽  
Youn Young Shim ◽  
Rana Mustafa ◽  
Venkatesh Meda ◽  
Martin J.T. Reaney
Keyword(s):  
Dry Matter ◽  
Matter Content ◽  
Dry Matter Content ◽  
Hydration Kinetics ◽  
Cultivar Selection ◽  
Emulsion Capacity ◽  
Chickpea Cultivar ◽  
Oil Emulsions ◽  
The Impact ◽  
Product Solution

Aquafaba (AQ), a viscous by-product solution produced during cooking chickpea or other legumes in water, is increasingly being used as an egg replacement due to its ability to form foams and emulsions. The objectives of our work were to select a chickpea cultivar that produces AQ with superior emulsion properties, and to investigate the impact of chickpea seed physicochemical properties and hydration kinetics on the properties of AQ-based emulsions. AQ from a Kabuli type chickpea cultivar (CDC Leader) had the greatest emulsion capacity (1.10 ± 0.04 m2/g) and stability (71.9 ± 0.8%). There were no correlations observed between AQ emulsion properties and chickpea seed proximate compositions. Meanwhile, AQ emulsion properties were negatively correlated with AQ yield and moisture content, indicating that AQ with higher dry-matter content displayed better emulsion properties. In conclusion, the emulsification properties of aquafaba are greatly influenced by the chickpea genotype, and AQ from the CDC Leader chickpea produced the most stable food oil emulsions.

scholarly journals HOW MUCH CARBON IS STORED IN DESERTS? AN APPROACH FOR THE CHILEAN ATACAMA DESERT USING LANDSAT-8 PRODUCTS

2016 ◽  
Vol XLI-B8 ◽  
pp. 879-882
Author(s):  
H. J. Hernández ◽  
T. Acuña ◽  
P. Reyes ◽  
M. Torres ◽  
E. Figueroa
Keyword(s):  
Dry Matter ◽  
Atacama Desert ◽  
Extreme Environment ◽  
Matter Content ◽  
Landsat 8 ◽  
Total Biomass ◽  
Dry Matter Content ◽  
Constant Weight ◽  
Mean Values ◽  
Average Value

The Atacama Desert in northern Chile is known as the driest place on Earth, with an average rainfall of about 15 mm per year. Despite these conditions, it contains a rich variety of flora with hundreds of species characterised by their extraordinary ability to adapt to this extreme environment. These biotic components have a direct link to important ecosystem services, especially those related to carbon storage and sequestration. No quantitative assessment is currently available for these services and the role of the desert in this matter remains unclear. We propose an approach to estimate above-ground biomass (AGB) using Landsat-8 data, which we tested in the Taparacá region, located in the northern section of the desert. To calibrate and validate the models, we used field data from 86 plots and several spectral indexes (NDVI, EVI and SAVI) obtained from the provisional Landsat-8 Surface-reflectance products. We applied randomised branch sampling and allometry principles (non-destructive methods) to collect biomass samples for all plant biological types: wetlands, steppes, shrubs and trees. All samples were dried in an oven until they reached constant weight and the final values were used to extrapolate dry matter content (AGB) to each plot in terms of kg m-2. We used all available scenes from September 2014 to August 2015 to calculate the maximum, minimum and average value for each index in each pixel within this period. For modeling, we used the method based on classification and regression trees called random forest (RF), available in the statistical software R-Project. The explained variance obtained by the RF algorithm was around 80-85%, and it improved when a wetland vector layer was used as the predictive factor in the model to reach the range 85-90%. The mean error was 1.45 kg m-2 of dry matter. The best model was obtained using the maximum and mean values of SAVI and EVI indexes. We were able to estimate total biomass storage of around 8 million tons (~ 4 million tons of C) for the whole region.

scholarly journals Agronomic Comparison and In Vitro Dry Matter Digestibility of Eight Sorghums at Two Locations in Puerto Rico.

1969 ◽  
Vol 70 (1) ◽  
pp. 37-44
Author(s):  
Salvio Torres-Cardona ◽  
Antonio Sotomayor-Ríos ◽  
Fred Miller
Keyword(s):  
Puerto Rico ◽  
Leaf Area ◽  
Crude Protein ◽  
Dry Matter ◽  
Matter Content ◽  
Forage Yield ◽  
Dry Matter Content ◽  
High Positive Correlation ◽  
Dry Matter Digestibility

Eight sorghum (Sorghum bicolor L. Moench) genotypes were evaluated during four consecutive 60-day cuttings at two locations in Puerto Rico. Differences between genotypes and cuttings were significant for the eight traits studied (green forage yield, content and yield of dry matter and crude protein, in vitro dry matter digestibility, plant height and leaf area). The location x genotype interaction was significant for most traits except dry matter content and in vitro dry matter digestibility (IVDMD). At both locations the best dry forage producers over the 240-day period were ATx623 x Rio and ATx623 x TMTx430 with 34 and 30 t/ha, respectively, al Isabela; and 20 and 19 t/ha, respectively at Mayagüez. Average IVDMD and crude protein values of hybrids were 58 and 10.2%, respectively. Rio was lowest in dry forage yield but highest in IVDMD value: 62%. Leaf area had a high positive correlation with the three yield criteria. A rough estimate of net profit from growing forage sorghum in Puerto Rico for milk production is $1,211/ha.

THE IMPACT OF MYCORRHIZAL PREPARATION MYKONET ON VALUABLE AGRONOMICAL AND ECONOMIC INDICATORS OF PEPPER

2020 ◽  
Vol 54 (1 (251)) ◽  
pp. 46-54
Author(s):  
G.S. Martirosyan ◽  
K.G. Azaryan ◽  
A.H. Trchounian
Keyword(s):  
Treatment Duration ◽  
Dry Matter ◽  
Sweet Pepper ◽  
Matter Content ◽  
Economic Indicators ◽  
Dry Matter Content ◽  
Hot Peppers ◽  
Block Randomization ◽  
The Impact ◽  
Randomization Method

The aim of the present study was to determine the effect of the Indian mycorrhizal preparation Mykonet (Mn) of Endo type on agronomical and economic indicators of the hot and sweet pepper production. The study was conducted with two sweet (Zmrukht and Nush-55) and two hot varieties of pepper (Kon and Punj). The experiments were carried out according to the block randomization method. It has been shown that Mn improves the biological and economic characteristics of sweet and hot peppers, depending on the treatment duration and variety. The most effective was 2 h treatment. The dry matter content was increased slightly, but increased for sugars and ascorbic acid. The best effect was obtained for Zmrukht. Given that Mn has improved the agronomical and economic characteristics of sweet and hot peppers, it can be recommended for pepper production.

scholarly journals HOW MUCH CARBON IS STORED IN DESERTS? AN APPROACH FOR THE CHILEAN ATACAMA DESERT USING LANDSAT-8 PRODUCTS

2016 ◽  
Vol XLI-B8 ◽  
pp. 879-882
Author(s):  
H. J. Hernández ◽  
T. Acuña ◽  
P. Reyes ◽  
M. Torres ◽  
E. Figueroa
Keyword(s):  
Dry Matter ◽  
Atacama Desert ◽  
Extreme Environment ◽  
Matter Content ◽  
Landsat 8 ◽  
Total Biomass ◽  
Dry Matter Content ◽  
Constant Weight ◽  
Mean Values ◽  
Average Value

The Atacama Desert in northern Chile is known as the driest place on Earth, with an average rainfall of about 15 mm per year. Despite these conditions, it contains a rich variety of flora with hundreds of species characterised by their extraordinary ability to adapt to this extreme environment. These biotic components have a direct link to important ecosystem services, especially those related to carbon storage and sequestration. No quantitative assessment is currently available for these services and the role of the desert in this matter remains unclear. We propose an approach to estimate above-ground biomass (AGB) using Landsat-8 data, which we tested in the Taparacá region, located in the northern section of the desert. To calibrate and validate the models, we used field data from 86 plots and several spectral indexes (NDVI, EVI and SAVI) obtained from the provisional Landsat-8 Surface-reflectance products. We applied randomised branch sampling and allometry principles (non-destructive methods) to collect biomass samples for all plant biological types: wetlands, steppes, shrubs and trees. All samples were dried in an oven until they reached constant weight and the final values were used to extrapolate dry matter content (AGB) to each plot in terms of kg m-2. We used all available scenes from September 2014 to August 2015 to calculate the maximum, minimum and average value for each index in each pixel within this period. For modeling, we used the method based on classification and regression trees called random forest (RF), available in the statistical software R-Project. The explained variance obtained by the RF algorithm was around 80-85%, and it improved when a wetland vector layer was used as the predictive factor in the model to reach the range 85-90%. The mean error was 1.45 kg m-2 of dry matter. The best model was obtained using the maximum and mean values of SAVI and EVI indexes. We were able to estimate total biomass storage of around 8 million tons (~ 4 million tons of C) for the whole region.

scholarly journals The bioethanol production with the thin stillage recirculation

2009 ◽  
Vol 15 (1) ◽  
pp. 49-52 ◽  
Author(s):  
Dusanka Pejin ◽  
Ljiljana Mojovic ◽  
Olgica Grujic ◽  
Jelena Pejin ◽  
Marica Rakin
Keyword(s):  
Amino Acids ◽  
Dry Matter ◽  
Degradation Products ◽  
Matter Content ◽  
Yeast Cells ◽  
Dry Matter Content ◽  
Bioethanol Production ◽  
Thin Stillage ◽  
Theoretical Yield ◽  
Bioethanol Yield

In this paper, the bioethanol production with the thin stillage recirculation in mashing was investigated. The mashing was performed with recirculation of: 0, 10, 20 and 30 % of the thin stillage. The thin stillage recirculation was repeated six times. In the experiment without the thin stillage, the recirculation bioethanol yield (compared to the theoretical yield) was 97.96 %, which implicates that the experiment conditions were chosen and performed well. With the addition of the thin stillage, the bioethanol yield increased and was above 100 %. Higher bioethanol yield than 100 % can be explained by the fact that the thin stillage contains carbohydrates, amino acids and yeast cells degradation products. The bioethanol yield increased with the increased number of thin stillage recirculation cycles. Dry matter content in fermenting slurry increased with the increased thin stillage quantity and the number of the thin stillage recirculation cycles (8.04 % for the first and 9.40 % for the sixth cycle). Dry matter content in thin stillage increased with the increased thin stillage quantity and the number of thin stillage recirculation cycles. Based on the obtained results it can be concluded that thin stillage recirculation increased the bioethanol yield. The highest bioethanol yields were obtained with recirculation of 10% thin stillage.

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