Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Nantongo, Judith S."'
Autor:
Nantongo, Judith S.1 (AUTHOR) jsnantongo@yahoo.com, Odoi, Juventine B.1 (AUTHOR), Agaba, Hillary1 (AUTHOR), Gwali, Samson1 (AUTHOR)
Publikováno v:
PLoS ONE. 7/26/2023, Vol. 18 Issue 9, p1-13. 13p.
Autor:
Nantongo, Judith S.1,2 jsnantongo@yahoo.com, Potts, Brad M.1,2, Kla, Jaroslav1,2, Graham, Natalie J.1,2, Dungey, Heidi S.1,2, Fitzgerald, Hugh1,2, O'Reilly-Wapstra, Julianne M.1,2
Publikováno v:
G3: Genes | Genomes | Genetics. Nov2022, Vol. 12 Issue 11, p1-14. 14p.
Autor:
Nantongo, Judith S.1 (AUTHOR) jsnantongo@yahoo.com, Odoi, Juventine B.1 (AUTHOR), Agaba, Hillary1 (AUTHOR), Gwali, Samson1 (AUTHOR)
Publikováno v:
BMC Research Notes. 2/22/2022, Vol. 15 Issue 1, p1-6. 6p.
Autor:
Nantongo, Judith S, Serunkuma, Edwin, Burgos, Gabriela, Davrieux, Fabrice, Meghar, Karima, Ssali, Reuben
A spectral analysis of 217 sweetpotato genotypes was undertaken. These were collected from different CIP sweet potatoe genetic trials (GT) located in different agroecological zones (AEZ); West nile AEZ (Abii GT; L. Albert AEZ (Hoima and Buling GTs);
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3631::6b261f27b5e7ebf0ae719e4b267ba335
http://agritrop.cirad.fr/603473/
http://agritrop.cirad.fr/603473/
Context: This scientific report concerns preliminary NIRS calibrations of potato sensory and biochemical traits. The spectral data were collected from cooked-mashed tubers, while sensory and biochemical data was collected from cooked tubers. Place: U
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3631::89728601bd62ba8933942e8c72ac65b5
http://agritrop.cirad.fr/603871/
http://agritrop.cirad.fr/603871/
Autor:
Nakatumba-Nabende, Joyce, Katumba, Andrew, Murindanyi, Sudi, Nabiryo, Ann Lisa, Babirye, Claire, Tusubira, Jeremy Francis, Mutegeki, Henry, Nantongo, Judith S, Sserunkuma, Edwin, Ssali, Reuben
The applications of computer vision technology for acquiring and analysing images have been extended to the evaluation of important crop traits for enhancing breeding programmes. Imaging technology is a fast, non-destructive high-throughput phenotypi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::322b6e99072b01c63983bab4ca2f0964
Autor:
Nakatumba-Nabende, Joyce, Nabiryo, Ann Lisa, Babirye, Claire, Tusubira, Jeremy Francis, Katumba, Andrew, Murindanyi, Sudi, Mutegeki, Henry, Nantongo, Judith S, Sserunkuma, Edwin, Nakitto, Mariam, Ssali, Reuben
The objective of the work was to develop, test and evaluate a color and mealiness classification model based on images of sweetpotato roots. A total of 3018 images were collected from 950 samples from October 2021 to November 2022. The captured image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3631::0f8d9505494ba4cf77642c919841a9cd
http://agritrop.cirad.fr/603453/
http://agritrop.cirad.fr/603453/
Context: This scientific report concerns preliminary NIRS calibrations of potato sensory and biochemical traits. The spectral data were collected from raw-intact tubers, while sensory and biochemical data was collected from cooked tubers. Place: Ugan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7e5f0e87884a64cc246f71b21763250
Autor:
Nantongo, Judith S, Serunkuma, Edwin, Burgos, Gabriela, Davrieux, Fabrice, Meghar, Karima, Ssali, Reuben
A spectral analysis of 217 sweetpotato genotypes was undertaken. These were collected from different CIP sweet potatoe genetic trials (GT) located in different agroecological zones (AEZ); West nile AEZ (Abii GT; L. Albert AEZ (Hoima and Buling GTs);
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3631::4f675ff7c2f4ffa791a6b3843b5bebd8
http://agritrop.cirad.fr/603465/
http://agritrop.cirad.fr/603465/
Autor:
Nakatumba-Nabende, Joyce, Katumba, Andrew, Murindanyi, Sudi, Nabiryo, Ann Lisa, Babirye, Claire, Tusubira, Jeremy Francis, Mutegeki, Henry, Nantongo, Judith S, Nakitto, Mariam, Sserunkuma, Edwin, Ssali, Reuben
A variety of imaging sensors are currently used in research and commercial practices to quantify complex crop traits for breeders. Imaging technology is a fast, non-destructive high-throughput phenotyping tool that has been used widely for accurate a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ec13a048f736ae095daa2e9bf7bf719