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Phenomic data-facilitated rust and senescence prediction in maize using machine learning algorithms

Scientific reports, 2022-05, Vol.12 (1), p.7571-7571, Article 7571

2022

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Cumulative temporal vegetation indices from unoccupied aerial systems allow maize (Zea mays L.) hybrid yield to be estimated across environments with fewer flights

PloS one, 2023-01, Vol.18 (1), p.e0277804-e0277804

2023

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Temporal phenomic predictions from unoccupied aerial systems can outperform genomic predictions

G3 : genes - genomes - genetics, 2023-01, Vol.13 (1)

2023

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Temporal Vegetation Indices and Plant Height from Remotely Sensed Imagery Can Predict Grain Yield and Flowering Time Breeding Value in Maize via Machine Learning Regression

Remote sensing (Basel, Switzerland), 2021-06, Vol.13 (11), p.2141

2021

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Pedigree‐management‐flight interaction for temporal phenotype analysis and temporal phenomic prediction

Plant phenome journal, 2023, Vol.6 (1), p.n/a

2023

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Validation of Functional Polymorphisms Affecting Maize Plant Height by Unoccupied Aerial Systems (UAS) Discovers Novel Temporal Phenotypes

G3 : genes - genomes - genetics, 2021-06, Vol.11 (6)

2021

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Near‐infrared reflectance spectroscopy phenomic prediction can perform similarly to genomic prediction of maize agronomic traits across environments

The plant genome, 2024-06, Vol.17 (2), p.e20454-n/a

2024

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Unoccupied aerial systems discovered overlooked loci capturing the variation of entire growing period in maize

The plant genome, 2021-07, Vol.14 (2), p.e20102-n/a

2021

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Assessing Genetic Diversity by Morphological Markers of Bean (Phaseolus vulgaris L.) Germplasm from Northeast Anatolia

Atatürk Üniversitesi Ziraat Fakültesi Dergisi, 2022-09, Vol.53 (3), p.155-165

2022

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Assessing the effect of soil to water ratios and sampling strategies on the prediction of EC and pH using pXRF and Vis-NIR spectra

Computers and electronics in agriculture, 2022-12, Vol.203, p.107459, Article 107459

2022

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Soil particle size prediction using Vis-NIR and pXRF spectra in a semiarid agricultural ecosystem in Central Anatolia of Türkiye

Catena (Giessen), 2022-10, Vol.217, p.106514, Article 106514

2022

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Deciphering temporal growth patterns in maize: integrative modeling of phenotype dynamics and underlying genomic variations

The New phytologist, 2024-04, Vol.242 (1), p.121-136

2024

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Cumulative temporal vegetation indices from unoccupied aerial systems allow maize

PloS one, 2023-01, Vol.18 (1), p.e0277804

2023

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Prediction of regrowth and biomass of perennial sorghum using unoccupied aerial systems

Crop science, 2022-11, Vol.62 (6), p.2107-2121

2022

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Gene effects of Cicer reticulatum on qualitative and quantitative traits in the cultivated chickpea

Plant breeding, 2017-12, Vol.136 (6), p.939-947

2017

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Phenomic data-driven biological prediction of maize through field-based high-throughput phenotyping integration with genomic data

Journal of experimental botany, 2023-09, Vol.74 (17), p.5307-5326

2023

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Field-based high-throughput phenotyping enhances phenomic and genomic predictions for grain yield and plant height across years in maize

G3 : genes - genomes - genetics, 2024-05, Vol.14 (7)

2024

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High temporal resolution unoccupied aerial systems phenotyping provides unique information between flight dates

Plant phenome journal, 2024-12, Vol.7 (1)

2024

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Transgressive segregations for yield criteria in reciprocal interspecific crosses between Cicer arietinum L. and C. reticulatum Ladiz

Euphytica, 2017-06, Vol.213 (6), p.1, Article 116

2017

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Screening and selection of accessions in the genus Pisum L. for resistance to pulse beetle (Callosobruchus chinensis L.)

Euphytica, 2019-04, Vol.215 (4), p.1-9, Article 82

2019

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Unoccupied aerial systems imagery for phenotyping in cotton, maize, soybean, and wheat breeding

Crop science, 2023-07, Vol.63 (4), p.1722-1749

2023

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Unveiling of suppressed genes in interspecific and backcross populations derived from mutants of Cicer species

Crop and pasture science, 2019-01, Vol.70 (3), p.254

2019

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Photoperiod associated late flowering reaction norm: Dissecting loci and genomic-enviromic associated prediction in maize

Field crops research, 2024-05, Vol.311, p.109380, Article 109380

2024

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Genetic mapping and prediction for novel lesion mimic in maize demonstrates quantitative effects from genetic background, environment and epistasis

Theoretical and applied genetics, 2023-07, Vol.136 (7), p.155-155, Article 155

2023

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Screening of chickpea accessions for resistance against the pulse beetle, Callosobruchus chinensis L. (Coleoptera: Bruchidae)

Journal of stored products research, 2018-03, Vol.76, p.51-57

2018

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Phenomic data-facilitated rust and senescence prediction in maize using machine learning algorithms

Cumulative temporal vegetation indices from unoccupied aerial systems allow maize (Zea mays L.) hybrid yield to be estimated across environments with fewer flights

Temporal phenomic predictions from unoccupied aerial systems can outperform genomic predictions

Temporal Vegetation Indices and Plant Height from Remotely Sensed Imagery Can Predict Grain Yield and Flowering Time Breeding Value in Maize via Machine Learning Regression

Pedigree‐management‐flight interaction for temporal phenotype analysis and temporal phenomic prediction

Validation of Functional Polymorphisms Affecting Maize Plant Height by Unoccupied Aerial Systems (UAS) Discovers Novel Temporal Phenotypes

Near‐infrared reflectance spectroscopy phenomic prediction can perform similarly to genomic prediction of maize agronomic traits across environments

Unoccupied aerial systems discovered overlooked loci capturing the variation of entire growing period in maize

Assessing Genetic Diversity by Morphological Markers of Bean (Phaseolus vulgaris L.) Germplasm from Northeast Anatolia

Assessing the effect of soil to water ratios and sampling strategies on the prediction of EC and pH using pXRF and Vis-NIR spectra

Soil particle size prediction using Vis-NIR and pXRF spectra in a semiarid agricultural ecosystem in Central Anatolia of Türkiye

Deciphering temporal growth patterns in maize: integrative modeling of phenotype dynamics and underlying genomic variations

Cumulative temporal vegetation indices from unoccupied aerial systems allow maize

Prediction of regrowth and biomass of perennial sorghum using unoccupied aerial systems

Gene effects of Cicer reticulatum on qualitative and quantitative traits in the cultivated chickpea

Phenomic data-driven biological prediction of maize through field-based high-throughput phenotyping integration with genomic data

Field-based high-throughput phenotyping enhances phenomic and genomic predictions for grain yield and plant height across years in maize

High temporal resolution unoccupied aerial systems phenotyping provides unique information between flight dates

Transgressive segregations for yield criteria in reciprocal interspecific crosses between Cicer arietinum L. and C. reticulatum Ladiz

Screening and selection of accessions in the genus Pisum L. for resistance to pulse beetle (Callosobruchus chinensis L.)

Unoccupied aerial systems imagery for phenotyping in cotton, maize, soybean, and wheat breeding

Unveiling of suppressed genes in interspecific and backcross populations derived from mutants of Cicer species

Photoperiod associated late flowering reaction norm: Dissecting loci and genomic-enviromic associated prediction in maize

Genetic mapping and prediction for novel lesion mimic in maize demonstrates quantitative effects from genetic background, environment and epistasis

Screening of chickpea accessions for resistance against the pulse beetle, Callosobruchus chinensis L. (Coleoptera: Bruchidae)

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