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Costa-Neto, G.
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Costa-Neto, G.
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Costa-Neto
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G.
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Costa-Neto, G.
ORCID ID
0000-0003-1137-6786
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Crossa, J.
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Costa-Neto, G.
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Bentley, A.R.
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Fradgley, N.
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Gardner, K.A.
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2023 - 2024
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BREEDING
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CLIMATE CHANGE
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MARKER-ASSISTED SELECTION
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WHEAT
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ADAPTABILITY
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Genomic Selection
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Best Linear Unbiased Prediction
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United Kingdom of Great Britain and Northern Ireland
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Accelerating Genetic Gains in Maize and Wheat for Improved Livelihoods (AGG)
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Agriculture and Horticulture Development Board, United Kingdom
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Author: Crossa, J.
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AGROVOC: BREEDING
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Enviromic prediction enables the characterization and mapping of Eucalyptus globulus Labill breeding zones
(
Springer Verlag
,
2024
)
Callister, A.N.
;
Costa-Neto, G.
;
Bradshaw, B.
;
Elms, S.
;
Crossa, J.
;
Brawner, J.T.
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Prediction of near-term climate change impacts on UK wheat quality and the potential for adaptation through plant breeding
(
Wiley
,
2023
)
Fradgley, N.
;
Bacon, J.
;
Bentley, A.R.
;
Costa-Neto, G.
;
Cottrell, A.
;
Crossa, J.
;
Cuevas, J.
;
Kerton, M.
;
Pope, E.
;
Swarbreck, S.M.
;
Gardner, K.A.
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Envirome-wide associations enhance multi-year genome-based prediction of historical wheat breeding data
(
Genetics Society of America
,
2023
)
Costa-Neto, G.
;
Crespo Herrera, L.A.
;
Fradgley, N.
;
Gardner, K.A.
;
Bentley, A.R.
;
Dreisigacker, S.
;
Fritsche-Neto, R.
;
Montesinos-Lopez, O.A.
;
Crossa, J.
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0000-0003-1137-6786