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1.
Application of unmanned aerial systems for high throughput phenotyping of large wheat breeding nurseries [Electronic Resource] by
Material type: Article Article; Type of continuing resource: periodical
Language: English
Publication details: London : BioMed Central, 2016
In: Plant methods v. 12, no. 35
Online resources:
Availability: Items available for loan: CIMMYT Knowledge Center: John Woolston Library (1).

2.
Canopy temperature and vegetation indices from high-throughput phenotyping improve accuracy of pedigree and genomic selection for grain yield in wheat by
Material type: Article Article; Type of continuing resource: periodical
Publication details: Bethesda, MD : Genetics Society of America, 2016
In: G3: Genes, Genomes, Genetics v. 6, no. 9, p. 2799-2808
Online resources:
Availability: Items available for loan: CIMMYT Knowledge Center: John Woolston Library (1).

3.
Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data by
Material type: Article Article; Type of continuing resource: periodical
Language: English
Publication details: London : BioMed Central, 2017
In: Plant methods v. 13, art. 4
Online resources:
Availability: Items available for loan: CIMMYT Knowledge Center: John Woolston Library (1).

4.
Stay-green and associated vegetative indices to breed maize adapted to heat and combined Heat-Drought Stresses [Electronic Resource] by
Material type: Article Article; Type of continuing resource: periodical
Language: English
Publication details: Basel, Switzerland : MDPI AG, 2017
In: Remote sensing v. 9, no. 3, p. 1-13
Online resources:
Availability: Items available for loan: CIMMYT Knowledge Center: John Woolston Library (1).

5.
Chapter P126. Aerial hyperspectral imaging of the crop canopy improves yield prediction accuracy in wheat by
Material type: Article Article; Format: print ; Literary form: Not fiction
Language: English
Publication details: Beijing, China : DBN, 2016
In: 7th International Crop Science Congress p. 131
Online resources:
Availability: Items available for loan: CIMMYT Knowledge Center: John Woolston Library (1).

6.
Genomic Bayesian functional regression models with interactions for predicting wheat grain yield using hyper‑spectral image data [Electronic Resource] by
Material type: Article Article; Type of continuing resource: periodical
Language: English
Publication details: United Kingdom : Biomed Central, 2017
In: Plant Methods v. 13, art. 62
Online resources:
Availability: Items available for loan: CIMMYT Knowledge Center: John Woolston Library (1).

7.
Use of hyperspectral image data outperforms vegetation indices in prediction of maize yield [Electronic Resource] by
Material type: Article Article; Type of continuing resource: periodical
Language: English
Publication details: Madison, Wisconsin, U.S. : Crop Science Society of America, 2017
In: Crop Science vol. 57, no. 5, p. 2517-2524
Online resources:
Availability: Items available for loan: CIMMYT Knowledge Center: John Woolston Library (1).

8.
9.
Hyperspectral reflectance-derived relationship matrices for genomic prediction of grain yield in wheat by
Material type: Article Article; Type of continuing resource: periodical
Language: English
Publication details: Bethesda, MD (USA) : Genetics Society of America, 2019
In: G3 : genes - genomes - genetics v. 9, no. 4, p. 1231-1247
Online resources:
Availability: Items available for loan: CIMMYT Knowledge Center: John Woolston Library (1).

10.
Estimation of physiological genomic estimated breeding values (PGEBV) combining full hyperspectral and marker data across environments for grain yield under combined heat and drought stress in tropical maize (Zea mays L.) by
Material type: Article Article; Type of continuing resource: periodical
Language: English
Publication details: San Francisco, CA (USA) : Public Library of Science, 2019
In: PLoS One v. 14, no. 3, art. e0212200
Online resources:
Availability: Items available for loan: CIMMYT Knowledge Center: John Woolston Library (1).

11.
High throughput field phenotyping for plant height using UAV-based RGB imagery in wheat breeding lines : feasibility and validation by
Material type: Article Article; Type of continuing resource: periodical
Language: English
Publication details: Switzerland : Frontiers, 2021
In: Frontiers in Plant Science v. 12, art. 591587
Online resources:
Availability: Items available for loan: CIMMYT Knowledge Center: John Woolston Library (1).

12.
High-resolution airborne hyperspectral imagery for assessing yield, biomass, grain N concentration, and N output in spring wheat by
Material type: Article Article; Type of continuing resource: periodical
Language: English
Publication details: Basel (Switzerland) : MDPI, 2021
In: Remote Sensing v. 13, no. 7, art. 1373
Online resources:
Availability: Items available for loan: CIMMYT Knowledge Center: John Woolston Library (1).

13.
QTL and genomic prediction accuracy for grain yield and secondary traits in a maize population under heat and heat-drought stresses by
Material type: Article Article
Language: English
Publication details: USA : Taylor and Francis, 2022
In: Journal of Crop Improvement In press
Availability: Items available for loan: CIMMYT Knowledge Center: John Woolston Library (1).

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