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Genomic prediction of grain yield and drought-adaptation capacity in sorghum is enhanced by multi-trait analysis
(Swedish University of Agricultural Sciences, 2019-07)
Grain yield and stay-green drought adaptation trait are important targets of selection in grain sorghum breeding for broad adaptation to a range of environments. Genomic prediction for these traits may be enhanced by joint ...
Multi-modal deep learning improves grain yield prediction in wheat breeding by fusing genomics and phenomics
(Oxford University Press, 2023)
Association between grain yield, grain quality and morpho-physiological traits along ten cycles of recurrent selection in bread wheat (triticum aestivum L.)
(Akademiai Kiado, 2017-03)
The objective of the present investigation was to examine the relationships between agronomical behavior and grain quality along ten cycles of a recurrent selection program performed under rainfed condition. Twenty-four ...
Use of genomic and phenotypic selection in lines for prediction of testcrosses in maize I: grain yield and its components
(2017-09-01)
Grain yield (GY) is a direct function of its components and these traits to being less complex and highly correlated with yield. The objectives of this study were to map Quantitative Trait Loci (QTL) for GY and its components ...
Genomics combined with UAS data enhances prediction of grain yield in winter wheat
(Frontiers Media, 2023)
Use of genomic and phenotypic selection in lines for prediction of testcrosses in maize II: grain yield and plant traits
(2017-06-01)
Plant breeders have been trying to predict the performance of hybrids based on their parental performance. One application of molecular markers is its use in selection. The objectives were to map quantitative trait loci ...
Prediction of genotypic values of maize for the agricultural frontier region in northeastern Maranhao, Brazil
(BRAZILIAN SOC PLANT BREEDING, UNIV FEDERAL VICOSA, VICOSA-MG, 36 571-000, BRAZIL, 2012)