These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
22. Baked sweetpotato textures and sweetness: An investigation into relationships between physicochemical and cooked attributes. Allan MC; Johanningsmeier SD; Nakitto M; Guambe O; Abugu M; Pecota KV; Craig Yencho G Food Chem X; 2024 Mar; 21():101072. PubMed ID: 38205162 [TBL] [Abstract][Full Text] [Related]
23. Development of a multicriteria decision-making model for evaluating hybrid offspring in the sweetpotato ( Xiang W; Li K; Dong F; Zhang Y; Zeng Q; Jiang L; Zhang D; Huang Y; Xiao L; Zhang Z; Zhang C Breed Sci; 2023 Jun; 73(3):246-260. PubMed ID: 37840976 [TBL] [Abstract][Full Text] [Related]
24. Identification of cassava quality attributes preferred by Ugandan users along the food chain. Iragaba P; Hamba S; Nuwamanya E; Kanaabi M; Nanyonjo RA; Mpamire D; Muhumuza N; Khakasa E; Tufan HA; Kawuki RS Int J Food Sci Technol; 2021 Mar; 56(3):1184-1192. PubMed ID: 33776229 [TBL] [Abstract][Full Text] [Related]
25. Efficiency of the Polycross and Controlled Hybridization Methods in Sweetpotato Breeding in Uganda. Ssali RT; Sseruwu G; Yada B; Ssemakula G; Wasonga C; Grüneberg WJ; Eyzaguirre R; Low JW; Mwanga ROM J Agric Sci (Tor); 2019; 11(17):. PubMed ID: 33381245 [TBL] [Abstract][Full Text] [Related]
26. Use of Machine Learning with Fused Spectral Data for Prediction of Product Sensory Characteristics: The Case of Grape to Wine. Armstrong CEJ; Niimi J; Boss PK; Pagay V; Jeffery DW Foods; 2023 Feb; 12(4):. PubMed ID: 36832832 [TBL] [Abstract][Full Text] [Related]
27. Relationships between isolated sweetpotato starch properties and textural attributes of sweetpotato French fries. Allan MC; Marinos N; Johanningsmeier SD; Sato A; Truong VD J Food Sci; 2021 May; 86(5):1819-1834. PubMed ID: 33890302 [TBL] [Abstract][Full Text] [Related]
28. Sensory and cultural acceptability tradeoffs with nutritional content of biofortified orange-fleshed sweetpotato varieties among households with children in Malawi. Hummel M; Talsma EF; Van der Honing A; Gama AC; Van Vugt D; Brouwer ID; Spillane C PLoS One; 2018; 13(10):e0204754. PubMed ID: 30335772 [TBL] [Abstract][Full Text] [Related]
29. Market Intelligence and Incentive-Based Trait Ranking for Plant Breeding: A Sweetpotato Pilot in Uganda. Okello JJ; Swanckaert J; Martin-Collado D; Santos B; Yada B; Mwanga ROM; Schurink A; Quinn M; Thiele G; Heck S; Byrne TJ; Hareau GG; Campos H Front Plant Sci; 2022; 13():808597. PubMed ID: 35317017 [TBL] [Abstract][Full Text] [Related]
30. Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction? Anderson AB; Grazal CF; Balazs GC; Potter BK; Dickens JF; Forsberg JA Clin Orthop Relat Res; 2020 Jul; 478(7):0-1618. PubMed ID: 32282466 [TBL] [Abstract][Full Text] [Related]
31. Investigating sensory properties of seven watermelon varieties and factors impacting refreshing perception using quantitative descriptive analysis. Ramirez JL; Du X; Wallace RW Food Res Int; 2020 Dec; 138(Pt A):109681. PubMed ID: 33292957 [TBL] [Abstract][Full Text] [Related]
32. Gender-Disaggregated Consumer Testing and Descriptive Sensory Analysis of Local and New Yam Varieties. Effah-Manu L; Wireko-Manu FD; Agbenorhevi JK; Maziya-Dixon B; Oduro IN Foods; 2023 Jan; 12(3):. PubMed ID: 36766066 [TBL] [Abstract][Full Text] [Related]
33. Sensory properties of selected biofortified common bean ( Muroki MW; Waswa LM; Fungo R; Kabwama A; Eric N; Nepomuscene N; Ndabashinze B; Mahungu SM Food Sci Nutr; 2024 May; 12(5):3199-3213. PubMed ID: 38726439 [TBL] [Abstract][Full Text] [Related]
34. Sensory characterization of a ready-to-eat sweetpotato breakfast cereal by descriptive analysis. Dansby MA; Bovell-Benjamin AC J Food Sci; 2003 Mar; 68(2):706-9. PubMed ID: 14974490 [TBL] [Abstract][Full Text] [Related]
35. Using machine learning to realize genetic site screening and genomic prediction of productive traits in pigs. Xiang T; Li T; Li J; Li X; Wang J FASEB J; 2023 Jun; 37(6):e22961. PubMed ID: 37178007 [TBL] [Abstract][Full Text] [Related]
36. Image-based phenotyping of seed architectural traits and prediction of seed weight using machine learning models in soybean. Duc NT; Ramlal A; Rajendran A; Raju D; Lal SK; Kumar S; Sahoo RN; Chinnusamy V Front Plant Sci; 2023; 14():1206357. PubMed ID: 37771485 [TBL] [Abstract][Full Text] [Related]
37. Effects of Different Papua New Guinea Sweetpotato Varieties on Performance and Level of Enteric Pathogens in Chickens. Pandi J; Glatz P; Forder R; Chousalkar K Animals (Basel); 2019 Apr; 9(4):. PubMed ID: 31018562 [TBL] [Abstract][Full Text] [Related]
38. Evaluating the performance of machine learning methods and variable selection methods for predicting difficult-to-measure traits in Holstein dairy cattle using milk infrared spectral data. Mota LFM; Pegolo S; Baba T; Peñagaricano F; Morota G; Bittante G; Cecchinato A J Dairy Sci; 2021 Jul; 104(7):8107-8121. PubMed ID: 33865589 [TBL] [Abstract][Full Text] [Related]
39. Integrating consumer perception in the selection of purple-skin sweet potato cultivars. Lado J; Vicente E; Moltini AI; Alcaire F; Ares G J Sci Food Agric; 2021 Jul; 101(9):3620-3629. PubMed ID: 33275810 [TBL] [Abstract][Full Text] [Related]
40. Prediction of Maize Phenotypic Traits With Genomic and Environmental Predictors Using Gradient Boosting Frameworks. Westhues CC; Mahone GS; da Silva S; Thorwarth P; Schmidt M; Richter JC; Simianer H; Beissinger TM Front Plant Sci; 2021; 12():699589. PubMed ID: 34880880 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]