Selected Cultivar-Specific Parameters of Wheat Grain as Factors Influencing Intensity of Development of Grain Weevil Sitophilus granarius (L.)

Kordan, B.; Nietupski, Mariusz; Ludwiczak, Emilia; Gabryś, Beata; Cabaj, Robert

doi:10.3390/agriculture13081492

Cited by 5 publications

(7 citation statements)

References 32 publications

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“…The aim of this study was to determine the potential of P. miliaceum grains and products made from millet as habitats for the development of this pest. The vulnerability of cereals to foraging by storage pests is evaluated by analyzing the size of a progeny population of the pest developing on given plant material, which is direct evidence of its attractiveness to pests [37,38]. In our experiment, the abundance of progeny, mass of produced dust, and loss of grain mass showed statistically significant differences among the tested products (millet and wheat).…”

Section: Discussionmentioning

confidence: 96%

“…The chemical composition of kernels of both cereal species (and their products) can differ from one another to a large degree, but such differences can be a factor that is both attracting and deterring storage pests [38,[42][43][44]. The tested products (millet, wheat) were also characterized by differentiated chemical composition.…”

Section: Discussionmentioning

confidence: 99%

“…The tested products (millet, wheat) were also characterized by differentiated chemical composition. Chemical analyses of cereal products settled by storage pests made in earlier studies have revealed a correlation between the development of such pests and the content of protein in the products [30,38,43]. Astuti et al [45] demonstrated a significant impact of the protein content of floury products on the survival rate and duration of the development of Tribolium castaneum.…”

Section: Discussionmentioning

confidence: 99%

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Influence of Chemical Composition and Degree of Fragmentation of Millet Grain on Confused Flour Beetle (Tribolium confusum Duv.) Infestation

Ludwiczak,

Nietupski,

Laszczak-Dawid

et al. 2023

Agriculture

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Owing to its wealth of nutritional values and low cultivation requirements, millet can become a key crop in global food systems. Thus, the Food and Agriculture Organization (FAO) declared that 2023 is the International Year of Millet. The introduction of this cereal and its products into universal food circulation calls for a multidimensional approach, which would also consider threats posed by pests during the storage of cereal kernels. The aim of this study was to evaluate the development of the confused flour beetle (Tribolium confusum Duv.) on common millet (Panicum miliaceum L.) and products obtained from this cereal, and to analyze the factors which influence its development (chemical composition of kernels, degree of their fragmentation). The study was conducted under laboratory conditions in an environmental test chamber (temperature 30 °C, humidity 70%, light—complete darkness). Millet grains of the Jagna cultivar and its products were weighed at 20 g, placed in vinidur dishes, and 10 beetles were then placed on the prepared material. The experiment demonstrated that the millet grain and food products obtained from this grain (millet flour, flakes, groats) could be a suitable habitat for the development of the confused flour beetle. The key regulator for the development of this pest insect is the degree of fragmentation of the infested material. The millet grain and millet products (except millet flour) are characterized by less numerous developments of beetle progeny than wheat products, which could be another advantage of millet in an integrated international system of grain storage. Chemical analysis also showed a significant correlation between the abundance of offspring generation and the content of crude fat (especially linoleic acid—C 18:2). Knowledge of the resistance or susceptibility of millet to storage pests may be useful in implementing integrated principles of protection of stored products against pests.

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Section: Discussionmentioning

confidence: 96%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Influence of Chemical Composition and Degree of Fragmentation of Millet Grain on Confused Flour Beetle (Tribolium confusum Duv.) Infestation

Ludwiczak,

Nietupski,

Laszczak-Dawid

et al. 2023

Agriculture

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“…Mebarkia et al (2010) indicate that the main factor influencing the grain weevil's choice of food is the wheat grain's protein content. According to the observations of Kordan et al (2023), the analysis of the relationship between the intensity of weevil development and the total protein content in the grain of ten selected varieties showed a negative correlation. According to these authors, culti-vars considered more resistant to feeding by S. granarius are characterised by a higher total protein content.…”

Section: Discussionmentioning

confidence: 99%

“…Nevertheless, most of the breeding programs implemented so far have focused more on improving seed yield and quality than improving resistance to storage pests (Keneni et al, 2011;Kordan et al, 2023). The type of food has a significant impact on storage losses.…”

Section: Introductionmentioning

confidence: 99%

Effect of different chemical properties of cereal grains on the foraging and microbiome of the rice weevil (<i>Sitophilus oryzae</i> L.)

Kosewska,

Przemieniecki,

Koronkiewicz

et al. 2024

Int. Agrophys.

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and Mazury in . The study was supported by the Polish National Science Centre under the project no. UMO-2021/41/N/ NZ9/00364 (2022-2024).A b s t r a c t . Due to global warming, the rice weevil is an increasing threat. Various species of weevils coexist with endosymbiotic Sodalis pierantonius. This study aimed to check whether different chemical properties of different cultivars of common wheat and barley grain cause disturbances in insect feeding and rearrangements of the rice weevil microbiome. It has been observed that foraging increases in the case of cultivars with low protein content, high steric acid content, and low antioxidant activity. Cultivars with higher antioxidant activity, a tendency was observed to increase the number of adult insects and the intensity of feeding. However, the correlation of number of offspring generations and antioxidants was different depending on species of cereals (R 2 =0.9 for barley, R 2 <0.1 for wheat). Changes of dominance classes of selected Enterobacteriaceae partially shifted the microbiomes of insects feeding on different barley varieties. In contrast, in some wheat cultivars, displacement of the dominant genus Sodalis by genera Staphylococcus or Mammaliicoccus was observed, severely reducing the rice weevil's foraging ability. Nevertheless, Sodalis sp. almost always dominated (from 16.7 to 90.07% for wheat and from 63.4 to 90.9% for barley), and no correlation was observed between species and variety factors of cereals and their abundance.K e y w o r d s: storage pests, Sodalis sp., grain properties, symbiotic bacteria, Sitophilus oryzae

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Using VIS-NIR hyperspectral imaging and machine learning for non-destructive detection of nutrient contents in sorghum

Wu,

Zhang,

et al. 2024

Preprint

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Non-destructive, rapid, and accurate detection of the nutritional compositions in sorghum is of great significance to the application of sorghum in agricultural production and food industry. In the process of sorghum nutrition detection, it can obtain good effect by extracting the corresponding characteristic wavelengths and selecting the suitable detection model for different nutrients. In this study, the crude protein, tannin, and crude fat contents of sorghum variety samples were taken as the research object. Firstly, the visible near-infrared(Vis-NIR) hyperspectral curves of sorghum were measured by the Starter Kit indoor mobile scanning platform (Starter Kit, Headwall Photonics, USA). Secondly, the nutritional components were determined using chemical methods in order to analyze the differences in nutritional composition among different varieties. Thirdly, the original spectral curves were de-noised by Standard normal variate(SNV), Detrending, and Multiplicative Scatter Correction (MSC) algorithms, and the Competitive adaptive reweighted sampling (CARS) and Bootstrapping soft shrinkage (BOSS) algorithms were used to coarse extract the characteristic variables, then Iteratively retains informative variables (IRIV) was used to judge the importance of the characteristic variables, and the optimal wavelength sets of crude protein, tannin and crude fat were obtained respectively. Finally, Partial least squares(PLS), Back propagation(BP) and Extreme learning machine(ELM) were used to establish the non-destructive detection models of crude protein, tannin and crude fat content respectively. The results showed the following: (1) The optimal variable sets of crude protein, tannin and crude fat contain 41, 38 and 22 wavelength variables, respectively. (2) The CARS-IRIV-PLS model was suitable for detecting crude protein, the prediction set exhibits R2, RMSE and RPD values of 0.6913, 0.7996% and 1.7998. The BOSS-IRIV-PLS model achieved good results in tannin detection, the prediction set exhibits R2, RMSE and RPD values of 0.8760, 0.2169% and 2.8398. The BOSS-IRIV-ELM model achieved the best results in crude fat detection, the prediction set exhibits R2, RMSE and RPD values of 0.6145, 0.3208% and 1.6106. (3) Linear PLS model is suitable for crude protein and tannin detection, and nonlinear ELM model is suitable for crude fat detection. These detection models can be used for the effective estimation of the nutritional compositions in sorghum with Vis-NIR spectral data, and can provide an important basis for the application of food nutrition assessment.

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Selected Cultivar-Specific Parameters of Wheat Grain as Factors Influencing Intensity of Development of Grain Weevil Sitophilus granarius (L.)

Cited by 5 publications

References 32 publications

Influence of Chemical Composition and Degree of Fragmentation of Millet Grain on Confused Flour Beetle (Tribolium confusum Duv.) Infestation

Influence of Chemical Composition and Degree of Fragmentation of Millet Grain on Confused Flour Beetle (Tribolium confusum Duv.) Infestation

Effect of different chemical properties of cereal grains on the foraging and microbiome of the rice weevil (<i>Sitophilus oryzae</i> L.)

Using VIS-NIR hyperspectral imaging and machine learning for non-destructive detection of nutrient contents in sorghum

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