Nombre de documents : 13.
2023
From prototype to inference: A pipeline to apply deep learning in sorghum panicle detection.
James Chrisbin, Gu Yanyang, Potgieter Andries, David Etienne, Madec Simon, Guo Wei, Baret Frédéric, Eriksson Anders, Chapman Scott.
2023.
Plant Phenomics,
5:0017, 16 p.
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2021
Crop photoperiodism model 2.0 for the flowering time of sorghum and rice that includes daily changes in sunrise and sunset times and temperature acclimation.
Clerget Benoît, Sidibe M., Bueno Crisanta Sunio, Grenier Cécile, Kawakata T., Domingo Abigail J., Layaoen Heathel Loren, Gutiérrez Palacios Nury Deyanira, Bernal Jaime H., Trouche Gilles, Chantereau Jacques.
2021.
Annals of Botany,
128 (1) : 97-113.
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2020
Prévisualisation |
2019
2018
A genome-wide association study using a Vietnamese landrace panel of rice (Oryza sativa) reveals new QTLs controlling panicle morphological traits.
Ta Nhung Kim, Khong Ngan Giang, Ha Thi Loan, Nguyen Dieu Thu, Mai Chung Duc, Hoang Thi Giang, Phung Nhung Thi Phuong, Bourrié Isabelle, Courtois Brigitte, Tran Thi Thu Hoai, Dinh Bach Yen, La Tuan Nghia, Do Vinh Nang, Lebrun Michel, Gantet Pascal, Jouannic Stefan.
2018.
BMC Plant Biology,
18 (1):282, 15 p.
2016
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The qTSN4 effect on flag leaf size, photosynthesis and panicle size, benefits to plant grain production in rice, depending on light availability.
Fabre Denis, Adriani Dewi Erika, Dingkuhn Michaël, Ishimaru Tsutomu, Punzalan Bermenito, Lafarge Tanguy, Clément-Vidal Anne, Luquet Delphine.
2016.
Frontiers in Plant Science,
7 (623), 12 p.
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