54 related articles for article (PubMed ID: 33418974)
1. Assessment of the salt tolerance of diverse bread wheat (
Khan MM; Rahman MM; Hasan MM; Amin MF; Matin MQI; Faruq G; Alkeridis LA; Gaber A; Hossain A
Heliyon; 2024 Apr; 10(7):e29042. PubMed ID: 38601562
[TBL] [Abstract][Full Text] [Related]
2. A robust vegetation index for remotely assessing chlorophyll content of dorsiventral leaves across several species in different seasons.
Lu S; Lu F; You W; Wang Z; Liu Y; Omasa K
Plant Methods; 2018; 14():15. PubMed ID: 29449875
[TBL] [Abstract][Full Text] [Related]
3. Assessing the correlations and selection criteria between different traits in wheat salt-tolerant genotypes.
Al-Ashkar I; Ibrahim A; Ghazy A; Attia K; Al-Ghamdi AA; Al-Dosary MA
Saudi J Biol Sci; 2021 Sep; 28(9):5414-5427. PubMed ID: 34466123
[TBL] [Abstract][Full Text] [Related]
4. Assessing Wheat Traits by Spectral Reflectance: Do We Really Need to Focus on Predicted Trait-Values or Directly Identify the Elite Genotypes Group?
Garriga M; Romero-Bravo S; Estrada F; Escobar A; Matus IA; Del Pozo A; Astudillo CA; Lobos GA
Front Plant Sci; 2017; 8():280. PubMed ID: 28337210
[TBL] [Abstract][Full Text] [Related]
5. High-Throughput Field Phenotyping of Leaves, Leaf Sheaths, Culms and Ears of Spring Barley Cultivars at Anthesis and Dough Ripeness.
Barmeier G; Schmidhalter U
Front Plant Sci; 2017; 8():1920. PubMed ID: 29163629
[TBL] [Abstract][Full Text] [Related]
6. Non-Destructive Detection of Tea Leaf Chlorophyll Content Using Hyperspectral Reflectance and Machine Learning Algorithms.
Sonobe R; Hirono Y; Oi A
Plants (Basel); 2020 Mar; 9(3):. PubMed ID: 32192044
[TBL] [Abstract][Full Text] [Related]
7. High-Throughput Analysis of Leaf Chlorophyll Content in Aquaponically Grown Lettuce Using Hyperspectral Reflectance and RGB Images.
Taha MF; Mao H; Wang Y; ElManawy AI; Elmasry G; Wu L; Memon MS; Niu Z; Huang T; Qiu Z
Plants (Basel); 2024 Jan; 13(3):. PubMed ID: 38337925
[TBL] [Abstract][Full Text] [Related]
8. Effect Analysis of Hydrogen Peroxide Using Hyperspectral Reflectance in Sorghum [
Song KE; Hong SS; Hwang HR; Hong SH; Shim SI
Plants (Basel); 2023 Aug; 12(16):. PubMed ID: 37631169
[TBL] [Abstract][Full Text] [Related]
9. Integration of Radiometric Ground-Based Data and High-Resolution QuickBird Imagery with Multivariate Modeling to Estimate Maize Traits in the Nile Delta of Egypt.
Elmetwalli AH; Tyler AN; Moghanm FS; Alamri SAM; Eid EM; Elsayed S
Sensors (Basel); 2021 Jun; 21(11):. PubMed ID: 34204099
[TBL] [Abstract][Full Text] [Related]
10. Using Spectral Reflectance to Estimate the Leaf Chlorophyll Content of Maize Inoculated With Arbuscular Mycorrhizal Fungi Under Water Stress.
Sun J; Yang L; Yang X; Wei J; Li L; Guo E; Kong Y
Front Plant Sci; 2021; 12():646173. PubMed ID: 34122471
[TBL] [Abstract][Full Text] [Related]
11. Combining Hyperspectral Reflectance Indices and Multivariate Analysis to Estimate Different Units of Chlorophyll Content of Spring Wheat under Salinity Conditions.
El-Hendawy S; Dewir YH; Elsayed S; Schmidhalter U; Al-Gaadi K; Tola E; Refay Y; Tahir MU; Hassan WM
Plants (Basel); 2022 Feb; 11(3):. PubMed ID: 35161437
[TBL] [Abstract][Full Text] [Related]
12. Performance of optimized hyperspectral reflectance indices and partial least squares regression for estimating the chlorophyll fluorescence and grain yield of wheat grown in simulated saline field conditions.
El-Hendawy S; Al-Suhaibani N; Elsayed S; Alotaibi M; Hassan W; Schmidhalter U
Plant Physiol Biochem; 2019 Nov; 144():300-311. PubMed ID: 31605962
[TBL] [Abstract][Full Text] [Related]
13. Potential Use of Hyperspectral Reflectance as a High-Throughput Nondestructive Phenotyping Tool for Assessing Salt Tolerance in Advanced Spring Wheat Lines under Field Conditions.
El-Hendawy S; Al-Suhaibani N; Mubushar M; Tahir MU; Refay Y; Tola E
Plants (Basel); 2021 Nov; 10(11):. PubMed ID: 34834875
[TBL] [Abstract][Full Text] [Related]
14. Migrating from Invasive to Noninvasive Techniques for Enhanced Leaf Chlorophyll Content Estimations Efficiency.
Kandpal KC; Kumar A
Crit Rev Anal Chem; 2023 Mar; ():1-16. PubMed ID: 36995248
[TBL] [Abstract][Full Text] [Related]
15. Applications of a Hyperspectral Imaging System Used to Estimate Wheat Grain Protein: A Review.
Ma J; Zheng B; He Y
Front Plant Sci; 2022; 13():837200. PubMed ID: 35463397
[TBL] [Abstract][Full Text] [Related]
16. Use of Hyperspectral Reflectance Sensing for Assessing Growth and Chlorophyll Content of Spring Wheat Grown under Simulated Saline Field Conditions.
El-Hendawy S; Elsayed S; Al-Suhaibani N; Alotaibi M; Tahir MU; Mubushar M; Attia A; Hassan WM
Plants (Basel); 2021 Jan; 10(1):. PubMed ID: 33418974
[TBL] [Abstract][Full Text] [Related]
17.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
18.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
19.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]
