Effect of Storage Temperature on Storage Efficacy, Germination and Physical Characters of Some Paddy Rice Cultivars during Different Storage Periods

Katta, Mohamed Youssef; Kamara, Mohamed M.; El–Aty, Saad Mohamed Abd; El-Gamal, H; Soleiman, Mohamed Ramadan; Mousa, M. Kareem; Ueno, Takatoshi

doi:10.5109/2232279

Cited by 12 publications

(9 citation statements)

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“…6D). Grains transported with high moisture contents suffered alterations at cellular levels by the intensification of the respiratory process of the grains 50 . The high electrical conductivity (EC) results occurred due to the rupture of the membrane and cell wall of the grains where the exudates were released and leached 51 .…”

Section: Monitoring and Predicting The Quality Of Corn Grains During ...mentioning

confidence: 99%

“…When subjected to elevated temperatures, the carbohydrate molecules may have broken down and transformed into less complex molecules, multiplied in the intercellular space. These physicochemical changes compromised the quality of the grains 50 .…”

Section: Monitoring and Predicting The Quality Of Corn Grains During ...mentioning

confidence: 99%

“…Starch is a biomolecular carbohydrate that comprises most of the structure of corn grains and requires its components to be in perfect arrangements (H, O 2 , and C). Associated with the other components, when the grain undergoes high drying temperatures, molecular structures are affected 50 . Drying at temperatures www.nature.com/scientificreports/ above 80 °C affected the starch structure and its constituents 57 .…”

Section: Monitoring and Predicting The Quality Of Corn Grains During ...mentioning

confidence: 99%

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Monitoring and predicting corn grain quality on the transport and post-harvest operations in storage units using sensors and machine learning models

Rodrigues,

Coradi,

Teodoro

et al. 2024

Sci Rep

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Monitoring the intergranular variables of corn grain mass during the transportation, drying, and storage stages it possible to predict and avoid potential grain quality losses. For monitoring the grain mass along the transport, a probe system with temperature, relative humidity, and carbon dioxide sensors was developed to determine the equilibrium moisture content and the respiration of the grain mass. These same variables were monitored during storage. At drying process, the drying air and grain mass temperatures, as well as the relative humidity, were monitored. For the prediction of the physical and physical–chemical quality of the grains, the results obtained from the monitoring were used as input data for the multiple linear regression, artificial neural networks, decision tree, and random forest models. A Pearson correlation was applied to verify the relationship between the monitored and predicted variables. From the results obtained, we verified that the intergranular relative humidity altered the equilibrium moisture content of the grains, contributing to the increased respiration and hence dry matter losses along the transport. At this stage, the artificial neural network model was the most indicated to predict the electrical conductivity, apparent specific mass, and germination. The random forest model satisfactorily estimated the dry matter loss. During drying, the air temperature caused volumetric contraction and thermal damage to the grains, increasing the electric conductivity index. Artificial neural network and random forest models were the most suitable for predicting the quality of dry grains. During storage, the environmental conditions altered the moisture contents causing a reduction in the apparent specific mass, germination, and crude protein, crude fiber, and fat contents. Artificial neural network and random forest were the best predictors of moisture content and germination. However, the random forest model was the best predictor of apparent specific mass, electrical conductivity, and starch content of stored grains.

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Section: Monitoring and Predicting The Quality Of Corn Grains During ...mentioning

confidence: 99%

Section: Monitoring and Predicting The Quality Of Corn Grains During ...mentioning

confidence: 99%

Section: Monitoring and Predicting The Quality Of Corn Grains During ...mentioning

confidence: 99%

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Monitoring and predicting corn grain quality on the transport and post-harvest operations in storage units using sensors and machine learning models

Rodrigues,

Coradi,

Teodoro

et al. 2024

Sci Rep

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“…Suhu rendah dipakai sebagai metode penyimpanan karena dapat menurunkan aktifitas enzimatik tanpa mengurangi kemampuan berkecambah seperti halnya dilakukan pada biji padi dilaboratorium penyimpanan biji internasional (International Rice Research Institut, 2013) ataupun di beberapa laboratorium diluar negeri seperti Jepang yang menggunakan biji sebagai sumber utama untuk perlakuan penelitian. Suhu penyimpanan yang dipakai adalah sekitar 5 o C (Katta et al, 2019). Tujuan dilakukan pengujian perekcambahan setelah penyimpanan ini adalah agar stok biji yang dikoleksi bisa disimpan lebih lama sehingga bisa dipakai sewaktu dibutuhkan tanpa melakukan pengkoleksian lagi dilapangan.…”

Section: Diskusi Efek Cahaya Dalam Perkecambahanunclassified

The PROPAGASI IN VITRO KALIANDRA MERAH (Calliandra calothyrsus Meisn.) I: PERKECAMBAHAN BIJI DAN INISIASI TUNAS DARI EKSPLAN HIPOKOTIL DAN NODUS

Idris,

Asman,

Sorel

et al. 2024

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The red calliandra is a fuel wood crops that gave benefit for people. Recently, it is getting wide attention due to its important use as biofuel in industrial scale. The massive propagation is needed to meet industrial needs. Beside the use of conventional seedling production technique, the use of tissue culture for mass propagation is one of the alternatives to address this problem. This research was conducted to develop standard protocol for micropropagation of red calliandra through tissue culture. Here, the first step for that purpose was reported. The MS medium was used for basal media treatment. The seed source was stored for eight months under 5oC. This research was carried out in two stages i.e. 1) seed germination test and 2) shoot initiation and multiplication treatment. Each stage was arranged in experimental method. The result showed that seed were pre-treated with warm water (40oC) gave 62.5% germination under red light when compared to control (37.5%, pre-treated with water at 25oC under white light) three days after planting. Conversely, there is no striking differences of germinated seed percentages between light treatment at 25oC. Furthermore, it was found that addition of 2 mg/L BAP gave better result in shoot initiation and number of shoots formed from nodal explants after four weeks in treatment media. These results indicated that mass propagation of red calliandra can be done through tissue culture where multiplication stage is one of the important steps to produce multiple shoots only from single nodal explant.

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“…The suitable temperature, humidity, and gas composition of grain storage environments will cause the growth and reproduction of pests and fungi. Kaita et al adopted cold storage (5 • C) to preserve rice grains and achieved good storage efficacy for a storage period of up to 24 months [4]. Lü et al found that heat treatment could effectively control the infection of Tribolium castaneum adults in grain piles during the storage process [5].…”

Section: Storage Environment and Grain Qualitymentioning

confidence: 99%

Grain Storage: Theory, Technology and Equipment

Zhao,

Lv,

2023

Foods

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Effect of Storage Temperature on Storage Efficacy, Germination and Physical Characters of Some Paddy Rice Cultivars during Different Storage Periods

Cited by 12 publications

References 0 publications

Monitoring and predicting corn grain quality on the transport and post-harvest operations in storage units using sensors and machine learning models

Monitoring and predicting corn grain quality on the transport and post-harvest operations in storage units using sensors and machine learning models

The PROPAGASI IN VITRO KALIANDRA MERAH (Calliandra calothyrsus Meisn.) I: PERKECAMBAHAN BIJI DAN INISIASI TUNAS DARI EKSPLAN HIPOKOTIL DAN NODUS

Grain Storage: Theory, Technology and Equipment

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