How can the buffalo carcass be used rationally? by Ricardo Alexandre Silva Pessoa

“…The percentages observed for the cuts (in each half carcass) were: soft drumstick, 5.3%; hard cushion, 3.7%; duckling, 3.8%; lizard, 1.8%; sirloin steak, 1.1%; grill flank steak, 0.75%; red flank steak, 0.61%; breast, 0.96%; rump baby beef, 1.3%; rump bonbon, 0.8%; ossobuco, 4.2%; muscle, 2.0%; turkey bone, 1.1%; duckling bone, 0.5%; oxtail, 0.38%; ancho steak, 1.3%; chorizo steak, 1.9%; filet mignon, 1.2%; fillet shell, 0.35%; chest, 3.9%; neck, 4.2%; acm, 4.3%; window rib, 8.7%; strip roast, 2.5%; banana, 0.23%; goldfish, 0.87%; palette heart, 0.77%; flat iron, 0.95%; Denver stake, 0.6%; beef steak, 0.40%; edible shavings, 19.43%; fat, 1.8%; scraps of disposal, 0.4%; discard bones, 17.9%. …”
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Novel Edible Coating of Starch-Based Stenospermocarpic Mango Prolongs the Shelf Life of Mango “Ataulfo” Fruit by Sara Elena Hernández-Guerrero, Rosendo Balois-Morales, Yolotzin Apatzingán Palomino-Hermosillo, Graciela Guadalupe López-Guzmán, Guillermo Berumen-Varela, Pedro Ulises Bautista-Rosales, Gelacio Alejo-Santiago

“…In this regard, stenospermocarpic mangoes were coated with starch from banana “Pear” (T1 and T2), starch from soursop (T3 and T4), and starch from stenospermocarpic mango (T5 and T6), and two uncoated control treatments (T7 and T8). …”
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Valorization of mixed blackwater/agricultural wastes for bioelectricity and biohydrogen production: A microbial treatment pathway by G. Plason Z. Plakar, Abdulsalami S. Kovo, Kanayo L. Oguzie, Emeka E. Oguzie

“…The optimal feedstock ratio was found to be 3:1:1 (300 g cassava peel, 100 g banana peel, and 100 g tomato waste), with ideal pH conditions at 9.35. …”
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Detection Methods for Asparagine and Glutamine Contents in Fruits and Vegetables and Recommendations for Dietary Intake of Fruits and Vegetables in Patients with Urea Cycle Disorde... by YE Xinyu, LI Ziying, TANG Shujun, SUN Liping, ZHAO Yunxia, XIAO Weimin, GU Yaping, KUANG Huiying, CHEN Xin, YANG Guowu, HUANG Yali

“…Notably, the total contents of Asn and Gln in beans were significantly higher than those in green leafy vegetables (P melons > aggregate fruits > berries > citrus > banana > nuts, and drupes had significantly higher total contents of Asn and Gln than nuts (P < 0.05). …”
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Characterization of the Beekeeping Value Chain: Challenges, Perceptions, Limitations, and Opportunities for Beekeepers in Kayonza District, Rwanda by Borden Mushonga, Landouard Hategekimana, Gervais Habarugira, Erick Kandiwa, Alaster Samkange, Basiamisi Victor Ernest Segwagwe

“…The majority of the hives were made from hollow tree logs (40%), tree barks (12%), banana leaves/bark (11%), cow dung (8%), mud (7%), grass (6%), tree leaves (6%), and the rest (20%) were improved beehives, particularly Langstroth hives. …”
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Transcriptome analysis provides insights into the role of TLP16 in Musa acuminata Resistance to Fusarium oxysporum f. sp. cubense wilt by Yi-le Huo, Si-wen Liu, Huo-qing Huang, Zai-yuan Li, Mudassar Ahmad, Meng-xia Zhuo, Wen-juan Chen, Chun-yu Li, Bo Liu, Ya-dong Li

“…Results This study identified 49 TLP genes in banana, predominantly localized in the extracellular space, and distributed across 11 chromosomes. …”
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Vegetation disturbance and regrowth dynamics in shifting cultivation landscapes by Yamini Bhat, Subrata Nandy, Krishna Das, Muna Tamang, Hitendra Padalia, Arun Jyoti Nath, Koushik Majumdar, Rocky Pebam, Pynkhlainbor Thongni, Bandana Kurmi, Ashesh Kumar Das, S. P.S. Kushwaha, R. P. Singh

“…In response to incentives for commercial crops, cultivators are increasingly adopting long-term cultivation, including the growing of pineapple, areca nut, and rubber, as well as intercropping with papaya, banana, lemon, tapioca, pepper, and ginger. These plots are, however, abandoned if the yields become economically unviable. …”
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CHEMICAL AND SENSORY CHARACTERISTIC OF SORGHUM (Sorghum bicolor) TAPAI WITH TRADITIONAL PACKAGING by Andre Yusuf Trisna Putra, Rosida Rosida, Khoirul Azmir

“…</span><span lang="IN">Results revealed that the highest starch content</span><span style="mso-ansi-language: EN-US;" lang="EN-US"> was</span><span lang="IN"> 27,4% in tapai from brown sorghum with banana leaf packaging. Regarding sugar content, tapai from brown sorghum with banana leaf packaging </span><span style="mso-ansi-language: EN-US;" lang="EN-US">had the</span><span lang="IN"> highest result. …”
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Foraging Behavior of the Blue Morpho and Other Tropical Butterflies: The Chemical and Electrophysiological Basis of Olfactory Preferences and the Role of Color by Alexandra Sourakov, Adrian Duehl, Andrei Sourakov

“…Green, ripe, and fermented bananas were evaluated for their attractiveness to butterflies together with honey and mangoes. …”
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Keeping Fruit In Your Diet by Linda B. Bobroff

“…Somehow they manage to resist the wonderful textures, aromas, and flavors of melons, berries, apples, bananas, mangoes, and all the other fruits available in this country!” …”
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Keeping Fruit In Your Diet by Linda B. Bobroff

“…Somehow they manage to resist the wonderful textures, aromas, and flavors of melons, berries, apples, bananas, mangoes, and all the other fruits available in this country!” …”
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Structure of the production module, production factors and economic performance in Brazilian coffee growth by Matheus Mangia Marques, Gustavo Alves de Melo, Luiz Gonzaga de Castro Júnior, Eduardo Gomes Carvalho, Maria Gabriela Mendonça Peixoto, Samuel Borges Barbosa, Maria Cristina Angélico de Mendonça, Patrícia Guarnieri dos Santos, André Luiz Marques Serrano, Lucas Oliveira Gomes Ferreira, José Baltazar Salgueirinho Osório de Andrade Guerra

“…Finally, it is suggested the use of new managerial indicators to measure economic performance, the evaluation of the impact of coffee beverage quality on costs and ownership structure, in addition to replicating the study for other crops such as oranges, apples, bananas, and papaya. …”
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Mexican Bromeliad Weevil (no official common name), Metamasius callizona (Chevrolat) (Insecta: Coleoptera: Curculionidae: Dryophthorinae) by Barbra Larson, J. Howard Frank

“….), was first reported in Florida in Miami-Dade County in 1984 and has since become an important pest of sugarcane, bananas, and ornamental palms. This document is EENY-161, one of a series of Featured Creatures from the Entomology and Nematology Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. …”
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Mexican Bromeliad Weevil (no official common name), Metamasius callizona (Chevrolat) (Insecta: Coleoptera: Curculionidae: Dryophthorinae) by Barbra Larson, J. Howard Frank

“….), was first reported in Florida in Miami-Dade County in 1984 and has since become an important pest of sugarcane, bananas, and ornamental palms. This document is EENY-161, one of a series of Featured Creatures from the Entomology and Nematology Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. …”
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A Cost-Optimized Model for Dynamic Port Hinterland Delineation: An Application to the Spanish Port System by Manuel Francisco Martínez Torres, Juan Jesús Ruiz Aguilar, Ignacio J. Turias Domínguez, María del Mar Cerbán Jiménez

“…The analysis examines both perishable goods, using bananas and oranges as case studies, and non-perishable cargo from Asian and American origins. …”
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Price Prediction for Fresh Agricultural Products Based on a Boosting Ensemble Algorithm by Nana Zhang, Qi An, Shuai Zhang, Huanhuan Ma

“…Considering that traditional time series models and machine learning models are facing challenges in making predictions with high accuracy and robustness, this paper proposes a Light gradient boosting machine model based on the boosting ensemble learning algorithm to predict prices for three representative types of fresh agricultural products (bananas, beef, crucian carp). The prediction performance of the Light gradient boosting machine model is evaluated by comparing it against multiple benchmark models (ARIMA, decision tree, random forest, support vector machine, XGBoost, and artificial neural network) in terms of accuracy, generalizability, and robustness on different datasets and under different time windows. …”
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A Novel Model to Detect and Classify Fresh and Damaged Fruits to Reduce Food Waste Using a Deep Learning Technique by T. Bharath Kumar, Deepak Prashar, Gayatri Vaidya, Vipin Kumar, S. Deva Kumar, F. Sammy

“…Various fruits were employed in this study, including apples, bananas, and oranges. For classifying photographs into fresh and decaying fruits, softmax is used, while CNN obtains fruit image properties. …”
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Monitoring Brazilian Food Security Based on Emergy Concepts: A Proposed Approach by Rafael Araujo Nacimento, Mario Duarte Canever, Luiz Carlos Terra dos Santos, Cecília Almeida, Feni Agostinho, Biagio Fernando Giannetti

“…The results indicate that processed food items such as oils and butter generally provide greater net emergy benefits to consumers compared to fresh food items like meat, bananas, tomatoes, and potatoes, which often favor the supply chain. …”
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Factors associated with iron deficiency aneamia among pregnant women at Chuk hospital in Kigali, Rwanda by Mercy Nwankwo, Chinenye, Hashim Abdullahi, Fardosa

“…A balanced diet, rich in proteins, iron and vitamins from good sources like liver, meat, eggs, green peas, figs, beans, whole wheat and green bananas remains very critical in tackling iron deficiency anaemia problem among the pregnant women. …”
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Morphological Diversity among Accessions of Apple Tree (Malus × Domestica Borkh) by Simon Mada Mbovora, Cousin Musvosvi, Edmore Gasura

“…Worldwide, apple ranks fourth in terms of economic importance after citrus, grapes, and bananas with a world production of above 71 million tonnes per year. …”
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