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A comparison of genomic and phenomic selection methods foryield prediction in Coffea canephora. Author(s): ADUNOLA, P.; FLORES, E. T.; RIVA-SOUZA, E. M.; FERRAO, M. A. G.; SENRA, J. F. B.; COMÉRIO, M.; ESPINDULA, M. C.; VERDIN FILHO, A. C.; VOLPI, P. S.; FONSECA, A. F. A. da; FERRÃO, R. G.; MUNOZ, P. R.; FERRÃO, L. F. V. Genomic prediction has been proposed as the standard method to predict the genetic merit of unphenotyped individuals. Despite the promising results reported in the plant breeding literature, its routi... ... Repository: BDPA Publication year: 2024
Temporal field phenomics of transgenic maize events subjected to drought stress: cross?validation scenarios and machine learning models. Author(s): PEREIRA, H. D.; NONATO, J. V. A.; MOLTOCARO, R. C. R.; GERHARDT, I. R.; DANTE, R. A.; ARRUDA, P.; YASSITEPE, J. E. de C. T. Global climate change has driven breeding programs to develop abiotic stress?resilient plant varieties. Traditionally, assessing drought resilience involves labor?intensive and time?consuming processe... ... Repository: BDPA Publication year: 2025
Phenomics-assisted selection for herbage accumulation in alfalfa (Medicago sativa L.). Author(s): BISWAS, A.; ANDRADE, M. H. M. L.; ACHARYA, J. P.; SOUZA, C. L. de; LOPEZ, Y.; ASSIS, G. M. L. de; SHIRBHATE, S.; SINGH, A.; MUNOZ, P.; RIOS, E. F. The application of remote sensing in plant breeding is becoming a routine method for fast and non-destructive high-throughput phenotyping (HTP) using unmanned aerial vehicles (UAVs) equipped with sens... ... Repository: BDPA Publication year: 2021
Very early biomarkers screening for water deficit tolerance in commercial eucalyptus clones. Author(s): CORRÊA, T.; PICOLI, E. A. de T.; PEREIRA, W. L.; CONDÉ, S. A.; RESENDE, R. T.; RESENDE, M. D. V. de; COSTA, W. G. da; CRUZ, C. D.; ZAUZA, E. A. V. The identification of genotypes more tolerant to water deficit is a challenge to breeding programs. In this research, our objectives were to identify and validate traits for tolerance to water deficit... ... Repository: BDPA Publication year: 2023
Multi-omics analysis of young Portulaca Oleracea L. plants' responses to High NaCl doses reveals insights into pathways and genes responsive to salinity stress in this halophyte species. Author(s): SILVA, V. N. B.; SILVA, T. L. C. da; FERREIRA, T. M. M.; RODRIGUES NETO, J. C.; LEAO, A. P.; RIBEIRO, J. A. de A.; ABDELNUR, P. V.; VALADARES, L. F.; SOUSA, C. A. F. de; SOUZA JUNIOR, M. T. Soil salinity is among the abiotic stressors that threaten agriculture the most, and purslane (Portulaca oleracea L.) is a dicot species adapted to inland salt desert and saline habitats that hyper ac... ... Repository: BDPA Publication year: 2022
Effect of salinity stress in Setaria viridis (L.) P. Beauv. accession A10.1 during seed germination and plant development. Author(s): FERREIRA, T. M. M.; SANTOS, M. de L.; LOPES, C. L.; SOUSA, C. A. F. de; SOUZA JUNIOR, M. T. Setaria viridis (L.) P. Beauv. is a species proposed to be used as model plant in reverse genetics studies for the validation of gene function. Soil salinity is a recurring problem present in more tha... ... Repository: BDPA Publication year: 2020
Application of an improved 2-dimensional high-throughput soybean root phenotyping platform to identify novel genetic variants regulating root architecture traits. Author(s): CHANDNANI, R.; QIN, T.; YE, H.; HU, H.; PANJVANI, K.; TOKIZAWA, M.; MACIAS, J. M.; MEDINA, A. A.; BERNARDINO, K. C.; PRADIER, P.-L.; BANIK, P.; MOONEY, A.; MAGALHAES, J. V. de; NGUYEN, H. T.; KOCHIAN, L. V. Nutrient-efficient root system architecture (RSA) is becoming an important breeding objective for generating crop varieties with improved nutrient and water acquisition efficiency. Genetic variants sh... ... Repository: BDPA Publication year: 2023
Fast detection of tan spot and powdery mildew on wheat using deep learning. Author(s): NICOLAU, M.; SANTANA, F. M.; PIMENTEL, M. B. M.; FERNANDES, J. M. C.; PAVAN, W. Repository: BDPA Publication year: 2017
Vegetation indexes for management of irrigated wine vine orchard. Author(s): OLDONI, H.; MARTINS, R. L.; RABELLO, L. M.; BASSOI, L. H. Repository: BDPA Publication year: 2017
A new approach for plant phenotyping and image segmentation based on contextual information. Author(s): ALVES, G. M.; CRUVINEL, P. E.; SOUZA, G. B.; MARANA, A. N.; LEVADA, A. L. M. Repository: BDPA Publication year: 2017

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