E-LIB Suche - Ergebnisse für: González Pérez, Lorena

1

QTL and genomic prediction accuracy for grain yield and sec..:

Neiff, Nicolás ; González Pérez, Lorena ; Mendoza Lugo, Jose Alberto...
Journal of Crop Improvement. 37 (2022) 5 - p. 709-734 , 2022

Link: https://doi.org/10.1080/..

2

Estimation of physiological genomic estimated breeding valu..:

Trachsel, Samuel ; Dhliwayo, Thanda ; Gonzalez Perez, Lorena...
PLOS ONE. 14 (2019) 3 - p. e0212200 , 2019

Link: https://doi.org/10.1371/..

3

Integrating genomic-enabled prediction and high-throughput ..:

Juliana, Philomin ; Montesinos-López, Osval A. ; Crossa, José...
Theoretical and Applied Genetics. 132 (2018) 1 - p. 177-194 , 2018

Link: https://doi.org/10.1007/..

4

Stay-Green and Associated Vegetative Indices to Breed Maize..:

Cerrudo, Diego ; González Pérez, Lorena ; Mendoza Lugo, José.
Remote Sensing. 9 (2017) 3 - p. 235 , 2017

Link: https://doi.org/10.3390/..

5

Application of unmanned aerial systems for high throughput ..:

Haghighattalab, Atena ; González Pérez, Lorena ; Mondal, Suchismita...
Plant Methods. 12 (2016) 1 - p. , 2016

Link: https://doi.org/10.1186/..

6

Lectura y escritura como prácticas onlife: un estudio etnog..:

González Pérez, Brenda Lorena ; Luna Rizo, Marisol ; Gutiérrez, Luis Alberto
Ciencia y Educación. 5 (2021) 3 - p. 39-59 , 2021

Link: https://doi.org/10.22206..

7

High-Resolution Airborne Hyperspectral Imagery for Assessin..:

Raya-Sereno, María D. ; Ortiz-Monasterio, J. Ivan ; Alonso-Ayuso, María...
Remote Sensing. 13 (2021) 7 - p. 1373 , 2021

Link: https://doi.org/10.3390/..

8

High Throughput Field Phenotyping for Plant Height Using UA..:

Volpato, Leonardo ; Pinto, Francisco ; González-Pérez, Lorena...
Frontiers in Plant Science. 12 (2021) - p. , 2021

Link: https://doi.org/10.3389/..

9

Non-diagnostic anti-C. burnetii phase I IgG titres: Should ..:

González-Quijada, Santiago ; Pérez-González, Lorena ; del Álamo-Martínez de Lagos, Mikel
Journal of Infection and Public Health. 11 (2018) 6 - p. 851-855 , 2018

Link: https://doi.org/10.1016/..

10

Genomic Bayesian functional regression models with interact..:

Montesinos-López, Abelardo ; Montesinos-López, Osval A. ; Cuevas, Jaime...
Plant Methods. 13 (2017) 1 - p. , 2017

Link: https://doi.org/10.1186/..

11

Use of Hyperspectral Image Data Outperforms Vegetation Indi..:

Aguate, Fernando M. ; Trachsel, Samuel ; Pérez, Lorena González...
Crop Science. 57 (2017) 5 - p. 2517-2524 , 2017

Link: https://doi.org/10.2135/..

12

Predicting grain yield using canopy hyperspectral reflectan..:

Montesinos-López, Osval A. ; Montesinos-López, Abelardo ; Crossa, José...
Plant Methods. 13 (2017) 1 - p. , 2017

Link: https://doi.org/10.1186/..

13

QTL and genomic prediction accuracy for grain yield and sec..:

Neiff, Nicolás ; González Perez, Lorena ; Mendoza Lugo, Jose Alberto...
Neiff, N., González Pérez, L., Mendoza Lugo, J.A., Martínez, C., Kettler, B.A., Dhliwayo, T., Babu, R. and Trachsel, S. 2022. QTL and genomic prediction accuracy for grain yield and secondary traits in a maize population under heat and heat-drought stresses. Journal of Crop Improvement, 1–26.. , 2023

Link: https://hdl.handle.net/1..

14

Application of unmanned aerial systems for high throughput ..:

Haghighattalab, Atena ; González Pérez, Lorena ; Mondal, Suchismita...
http://www.plantmethods.com/content/12/1/35. , 2016

Link: http://www.plantmethods...

15

Use of hyperspectral image data outperforms vegetation indi..:

Aguate, Fernando Matías ; Trachsel, Samuel ; González Pérez, Lorena...
info:eu-repo/semantics/altIdentifier/url/https://dl.sciencesocieties.org/publications/cs/abstracts/0/0/cropsci2017.01.0007. ,

Link: http://hdl.handle.net/11..