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. 2023 Jan 20;9(1):e12974. doi: 10.1016/j.heliyon.2023.e12974

Table 1.

Different breeding data handling databases implemented in various crops.

Breeding database Crops/Crop family Reference
AGROBASE/4 Corn, food legumes, hop, and canola [16]
BMS Maize, Sorghum, Pearl millet, Chickpea, Pigeonpea https://excellenceinbreeding.org/toolbox/tools/breeding-management-system-bms
PRISM Maize, soybeans, sorghum, cotton, rice, pumpkin, sunflower, wheat and popcorn http://www.sytseed.com/product_prismen.html
Progeno Wheat, Maize https://www.progeno.net/
PHENOME Tomato [17]
CropSight Wheat [18]
Field Book and BIMS Genome Database for Rosaceae, CottonGEN, Pulse Database, Citrus and Vaccinium Genome Database [19]
DBMS Potato [21]
Breedbase Cassava, rice, wheat, banana, yams, other Roots, Tuber and Banana (RTB) crops, sweet potato, oat, kelp, maize, tomato, potato, other Solanaceae, milkweed, Erysimum, and fern [24]
Doriane Cucurbitaceae [25]
PhenomeOne Vegetables, ornamentals, field crops, cannabis, herbs, berries, trees etc. https://phenome-networks.com/en/
KDDart Wheat, Mungbean [26]; https://www.aciar.gov.au/sites/default/files/2022-03/CIM-2014-079-final-report_0.pdf
Easy Breed All major crops https://www.wintersteiger.com/en/Plant-Breeding-and-Research/References
E-Brida Black currant, Vegetable and flowers [27]; https://www.e-brida.com/plant-breeding-software-e-brida/
BBT Banana [3]
Phenobook Wheat [28]