158 related articles for article (PubMed ID: 33372635)
21. The Current Progresses in the Genes and Networks Regulating Cotton Plant Architecture.
Huang X; Liu H; Ma B
Front Plant Sci; 2022; 13():882583. PubMed ID: 35755647
[TBL] [Abstract][Full Text] [Related]
22. Flower Mapping in Grasslands With Drones and Deep Learning.
Gallmann J; Schüpbach B; Jacot K; Albrecht M; Winizki J; Kirchgessner N; Aasen H
Front Plant Sci; 2021; 12():774965. PubMed ID: 35222449
[TBL] [Abstract][Full Text] [Related]
23. Automatic estimation of heading date of paddy rice using deep learning.
Desai SV; Balasubramanian VN; Fukatsu T; Ninomiya S; Guo W
Plant Methods; 2019; 15():76. PubMed ID: 31338116
[TBL] [Abstract][Full Text] [Related]
24. Use of synthetic images for training a deep learning model for weed detection and biomass estimation in cotton.
Sapkota BB; Popescu S; Rajan N; Leon RG; Reberg-Horton C; Mirsky S; Bagavathiannan MV
Sci Rep; 2022 Nov; 12(1):19580. PubMed ID: 36379963
[TBL] [Abstract][Full Text] [Related]
25. Erratum: Eyestalk Ablation to Increase Ovarian Maturation in Mud Crabs.
J Vis Exp; 2023 May; (195):. PubMed ID: 37235796
[TBL] [Abstract][Full Text] [Related]
26. Geminivirus-mediated delivery of florigen promotes determinate growth in aerial organs and uncouples flowering from photoperiod in cotton.
McGarry RC; Ayre BG
PLoS One; 2012; 7(5):e36746. PubMed ID: 22615805
[TBL] [Abstract][Full Text] [Related]
27. PhenoTrack3D: an automatic high-throughput phenotyping pipeline to track maize organs over time.
Daviet B; Fernandez R; Cabrera-Bosquet L; Pradal C; Fournier C
Plant Methods; 2022 Dec; 18(1):130. PubMed ID: 36482291
[TBL] [Abstract][Full Text] [Related]
28. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
29. Development of High-Yielding Upland Cotton Genotypes with Reduced Regrowth after Defoliation Using a Combination of Molecular and Conventional Approaches.
Naveed S; Toyinbo J; Ingole H; Valavanur Shekar P; Jones M; Campbell BT; Rustgi S
Genes (Basel); 2023 Nov; 14(11):. PubMed ID: 38003024
[TBL] [Abstract][Full Text] [Related]
30. Phenotyping Flowering in Canola (
Zhang T; Vail S; Duddu HSN; Parkin IAP; Guo X; Johnson EN; Shirtliffe SJ
Front Plant Sci; 2021; 12():686332. PubMed ID: 34220907
[TBL] [Abstract][Full Text] [Related]
31. Image-based estimation of oat panicle development using local texture patterns.
Boyle R; Corke F; Howarth C
Funct Plant Biol; 2015 May; 42(5):433-443. PubMed ID: 32480689
[TBL] [Abstract][Full Text] [Related]
32. Deep machine learning provides state-of-the-art performance in image-based plant phenotyping.
Pound MP; Atkinson JA; Townsend AJ; Wilson MH; Griffiths M; Jackson AS; Bulat A; Tzimiropoulos G; Wells DM; Murchie EH; Pridmore TP; French AP
Gigascience; 2017 Oct; 6(10):1-10. PubMed ID: 29020747
[TBL] [Abstract][Full Text] [Related]
33. Flowering and fruit-set in cassava under extended red-light photoperiod supplemented with plant-growth regulators and pruning.
Baguma JK; Mukasa SB; Nuwamanya E; Alicai T; Omongo C; Hyde PT; Setter TL; Ochwo-Ssemakula M; Esuma W; Kanaabi M; Iragaba P; Baguma Y; Kawuki RS
BMC Plant Biol; 2023 Jun; 23(1):335. PubMed ID: 37353746
[TBL] [Abstract][Full Text] [Related]
34. The effect of phenological variation in sex expression on female reproductive success in Saxifraga granulata.
van der Meer S; Jacquemyn H
Am J Bot; 2015 Dec; 102(12):2116-23. PubMed ID: 26656126
[TBL] [Abstract][Full Text] [Related]
35. GhAP1-D3 positively regulates flowering time and early maturity with no yield and fiber quality penalties in upland cotton.
Wang C; Liu J; Xie X; Wang J; Ma Q; Chen P; Yang D; Ma X; Hao F; Su J
J Integr Plant Biol; 2023 Apr; 65(4):985-1002. PubMed ID: 36398758
[TBL] [Abstract][Full Text] [Related]
36. Leaf to panicle ratio (LPR): a new physiological trait indicative of source and sink relation in japonica rice based on deep learning.
Yang Z; Gao S; Xiao F; Li G; Ding Y; Guo Q; Paul MJ; Liu Z
Plant Methods; 2020; 16():117. PubMed ID: 32863854
[TBL] [Abstract][Full Text] [Related]
37. Comprehensive Analyses of Four
Li J; Gao K; Yang X; Guo B; Xue Y; Miao D; Huang S; An X
Int J Mol Sci; 2022 Mar; 23(6):. PubMed ID: 35328537
[TBL] [Abstract][Full Text] [Related]
38. HairNet2: deep learning to quantify cotton leaf hairiness, a complex genetic and environmental trait.
Farazi M; Conaty WC; Egan L; Thompson SPJ; Wilson IW; Liu S; Stiller WN; Petersson L; Rolland V
Plant Methods; 2024 Mar; 20(1):46. PubMed ID: 38504327
[TBL] [Abstract][Full Text] [Related]
39. The cotton HD-Zip transcription factor GhHB12 regulates flowering time and plant architecture via the GhmiR157-GhSPL pathway.
He X; Wang T; Xu Z; Liu N; Wang L; Hu Q; Luo X; Zhang X; Zhu L
Commun Biol; 2018; 1():229. PubMed ID: 30564750
[TBL] [Abstract][Full Text] [Related]
40. Phenotyping of Plant Biomass and Performance Traits Using Remote Sensing Techniques in Pea (
Quirós Vargas JJ; Zhang C; Smitchger JA; McGee RJ; Sankaran S
Sensors (Basel); 2019 Apr; 19(9):. PubMed ID: 31052251
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]