scholarly journals Does the effect of pelleting depend on the wheat sample when fed to chickens?

animal ◽  
2016 ◽  
Vol 10 (4) ◽  
pp. 571-577 ◽  
Author(s):  
V. Pirgozliev ◽  
M.W. Mirza ◽  
S.P. Rose
Keyword(s):  
2001 ◽  
Vol 81 (1) ◽  
pp. 99-106 ◽  
Author(s):  
V. R. Pirgozliev ◽  
S. P. Rose ◽  
P. S. Kettlewell ◽  
M. R. Bedford

Six different wheat cultivar grain samples were grown in both the 1993 and 1996 harvest years, and their concentrations of nitrogen-corrected, apparent metabolizable energy (AMEn) were determined and carcass energy retentions compared when fed nutritionally complete diets for broiler chicks. The AMEn protocol involved a 14 d feeding period with growing chickens, with all excreta collected for the final 96 h. The carcass energy retention protocol involved a comparative slaughter technique in which growing chickens were given a wheat sample in a nutritionally complete diet at 90% of ad libitum intake. There was a significant (P = 0.023) linear relationship between energy retention and AMEn, although an r2 = 0.42 indicated that there was a substantial amount of unexplained variation. The ratio of energy retained per kg of additional wheat (kcal kg–1) eaten to AMEn (kcal kg–1) intake ranged from 0.49 –0.56 in the 12 wheat samples. There were no significant (P > 0.05) relationships between the proximate nutrient or polysaccharide compositions of the wheat samples and the ratio of energy retained to AME intake. However, there was a significant, (r2 = 0.40; P = 0.028) negative, linear relationship between the water extract viscosity of the wheat sample (log transformed) and this ratio. Key words: Metabolizable energy, energy retention, wheat, poultry


2008 ◽  
Vol 65 (2) ◽  
pp. 157-160
Author(s):  
Javier Alberto Vásquez-Castro ◽  
Gilberto Casadei de Baptista ◽  
Luiz Roberto Pimentel Trevizan ◽  
Casimiro Dias Gadanha Junior

The presence of insecticide residues in cereals represents a risk for the consumer, because these substances are used in large scale to protect stored grains from the attack of pests. The effects of three processing methods for corn and wheat samples on the stability of stored-grain protective insecticides were here evaluated. Fenitrothion and esfenvalerate were applied so as to produce theoretical concentrations of 10 and 0.5 mg kg-1, respectively. Two hours after treatment, the grains were processed and deposition was analyzed by gas chromatography. Grain species did not influence insecticide stability. This stability was only dependent upon the processing method and insecticide type. Grains processed together with dry ice provided the greatest percentage of recovery for both insecticides. Regardless of the processing method, more esfenvalerate than fenitrothion was recovered, thus demonstrating the greater stability of the pyrethroid during this operation.


2014 ◽  
Vol 94 (3) ◽  
pp. 545-553 ◽  
Author(s):  
B. X. Fu ◽  
D. W. Hatcher ◽  
L. Schlichting

Fu, B. X., Hatcher, D. W. and Schlichting, L. 2014. Effects of sprout damage on durum wheat milling and pasta processing quality. Can. J. Plant Sci. 94: 545–553. Due to concerns over the unusual sprouting problem observed in the 2010 harvest of Canada Western Amber Durum Wheat (CWAD), it was deemed necessary by the industry to investigate and determine if appropriate tolerances for sprout damage were in place, particularly for No. 3 CWAD. More information on the impact of visually assessed sprout damage on durum quality is needed to better define the associated acceptable level of falling number (FN). To this end, two different samples of CWAD were sourced for this project: a No. 1 CWAD (FN 479 s) and a No. 5 CWAD (FN 68 s) degraded primarily due to sprout damage. A total of 19 samples were used in the study, i.e., a series of eight composite samples prepared by blending the No. 1 with increasing amounts of No. 5, as well as the two control extremes. The FNs of the blends were well characterized, displaying an incremental decrease of ∼50 s with increasing sprout damage. Each wheat sample was milled in duplicate. The resulting semolina was analyzed for ash, pigment, pigment loss, yellowness (b*), and speckiness. Protein content, gluten index and alveograph parameters were also evaluated. The semolina was made into spaghetti for colour measurement and texture evaluation. Results indicated that there was no change in ash content, pigment or semolina b* value even at 50% blend (FN 101 s). However, a noticeable increase in total speck count and the number of dark specks in the semolina were detected once the blending ratio reached the 35% level (FN 208 s). The increase in speck count was largely due to mildew associated with the No. 5 CWAD sample. The influence of sprout damage on gluten strength was minimal at all levels of blending. A significant increase in spaghetti redness (a*) was detected in blends with 25% (FN 152 s) or more of No. 5 CWAD. A decline in spaghetti brightness (L*) was also observed when transitioning from the 15% blend (FN 204 s) and very evident at the 35% blend (FN 123 s) level. No discernible differences due to sprout damage were noticed within the composite blends in terms of processing properties, firmness and cooking loss of the cooked pasta, although spaghetti made from the No. 5 sample showed slight checking, higher cooking loss and lower firmness.


1977 ◽  
Vol 109 (4) ◽  
pp. 503-509 ◽  
Author(s):  
L. B. Smith

AbstractThe efficiency of Berlese-Tullgren funnels in removing the rusty grain beetle, Cryptolestes ferrugineus (Stephens), from wheat samples was tested by adding adults and larvae to wheat samples. The recovery of adults from 300 g samples was 79% at 12.3% moisture content (m.c.) and 49% at 16% m.c.; from 150 g samples the recovery was 84% at 16% m.c. The number of adults recovered represented at least 98% of those that did not escape from the top of the samples. The number that escaped varied with sample size and moisture content. The recovery of fourth instar larvae was 78% from samples of 300 g at 16% m.c. The percentage of first and second instar larvae recovered was 5.8 when larvae alone were mixed with the wheat sample and left for 65 h, 10.6 when larvae in flour were added to the surface of the wheat sample, and 27.9 when larvae in flour were added to the centre of the wheat sample.


2019 ◽  
Vol 60 (4) ◽  
pp. 457-466 ◽  
Author(s):  
M. R. Azhar ◽  
S. P. Rose ◽  
A. M. Mackenzie ◽  
S. C. Mansbridge ◽  
M. R. Bedford ◽  
...  

1987 ◽  
Vol 38 (6) ◽  
pp. 993 ◽  
Author(s):  
BJ Blaney ◽  
CJ Moore ◽  
AL Tyler

A survey for various mycotoxins was carried out on samples of all wheat delivered to nine storage and marketing depots in south-eastern Queensland, selected as most likely to receive mycotoxin-contaminated grain. All wheat was surveyed during 1983, when the degree of weather damage was high. Samples of the poorest grade of wheat from these depots were also surveyed in 1984 and 1985. The surveys included all regions where head scab of wheat caused by Fusarium graminearum Schwabe Group 2 had been reported to occur at significant levels. 4-Deoxynivalenol was detected in nearly all pooled samples representing bulk wheat at concentrations ranging from traces of <0.01 up to 1.7 mg kg-l. The highest concentration of zearlenone detected in a pooled wheat sample was 0.04 mg kg-l. In a few samples representing individual wheat deliveries and with up to 2.8% by weight of pink grains, 4-deoxynivalenol concentrations ranged up to 11.7 mg kg-1 and zearalenone up to 0.43 mg kg-l. Aflatoxins B1, B2, G1 and G2 were detected in only one pooled sample of wheat, at a total aflatoxin concentration of 0.003 mg kg-1. Ochratoxin A, sterigmatocystin and T-2 toxin were not detected. Higher concentrations of mycotoxins were found in the poorer grades of wheat.


Science ◽  
1961 ◽  
Vol 133 (3455) ◽  
pp. 755-756 ◽  
Author(s):  
J. Rivera
Keyword(s):  

Author(s):  
Tatjana Stojanovic ◽  
Marija Skrinjar ◽  
Djordje Psodorov

Certain climatological conditions favor the infection of wheat by field moulds, and influence very much the yield, the overall quality and the hygienic properties of the wheat. The investigations included 6 wheat varieties from the first locality and 5 varieties from the second locality. The investigated samples were most often contaminated by fungi of the genus Fusarium. Each wheat sample was classified with respect to the degree of contamination by these fungi as slightly fusarious contaminated and very fusarious contaminated grain. The mycotoxins, their metabolites, were isolated from the greatest number of contaminated grains.


Author(s):  
Tatjana Stojanovic ◽  
Marija Skrinjar ◽  
Djordje Psodorov

The seed infection is a result of complex factors influence: weather conditions, health conditions of used seed, quantity of infective potentila in soil, etc. By visual evaluation, initial wheat sample has been divided in four fractions: healthy, dark germed, slightly and very fusarious. Three varietes from two localities 1 and 2 have been included in analyses. Beside the wheat, the mycotoxicological contamination of flour produced by grounding of given samples was monitored, too. The representatives of genera Fusarium were dominating, and the most frequent was F. oxysporum. The wheat and flour samples have also been analysed on presence of aflatoxin B1 "AB1" and G1 "AG1", ochratoxin A "OA" and zearalenone "F-2" toxin. AG1 had the lowest representation (2,3 g/kg) and the highest representation was of F-2 toxin (even 500 g/kg).


2022 ◽  
Author(s):  
Ibrahim Kecoglu ◽  
Merve Sirkeci ◽  
Ayse Sen ◽  
Mehmet Burcin Unlu ◽  
Ugur Parlatan ◽  
...  

The salinity level of the growing medium has diverse effects on the development of plants, including both physical and biochemical changes. To determine the salt stress level of a plant endures, one can measure these structural and chemical changes. Raman spectroscopy and biochemical analysis are some of the most common techniques in the literature. Here, we present a combination of machine learning and Raman spectroscopy with which we can both find out the biochemical change that occurs while the medium salt concentration changes and predict the level of salt stress a wheat sample experiences accurately using our trained regression models. In addition, by applying different machine learning algorithms, we compare the level of success for different algorithms and determine the best method to use in this application. Production units can take actions based on the quantitative information they get from the trained machine learning models related to salt stress, which can potentially increase efficiency and avoid the loss of crops.


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