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• W3112156748 abstract "Abstract Background Deeper roots can help plants to take up available resources in deep soil ensuring better growth and higher yields under conditions of limited water supply. The objective was to explore the possibility of genomic prediction for grain-related and root traits of winter wheat measured in a semi-field root phenotyping facility allowing for a water availability gradient and interaction of genomic by water availability gradient. Genotyped winter wheat lines were grown as rows within two subunits of the semi-field facility. Along each row, a water availability gradient was applied by varying the depth distance to a subsurface-irrigation system. Root data were collected based on images taken from a minirhizotron tube below each row in one side of each bed. Results The analysis comprised four grain-related traits: grain yield (GY), protein concentration (PC), total nitrogen content (NC), and thousand kernel weight (TKW) measured on each half row along the water gradient. In addition, two root traits, total root length between 1.2 m and 2 m depth (TRL) and root length in four intervals (IRL) on each tube were analyzed. Two sets of models with or without the effect of neighbors from both sides of each row were applied. Variance components of all effects in the models were estimated. Predictive ability (PA) was measured as the correlation between mean phenotypes corrected for fixed effects and predicted genomic breeding values for each line. Estimated heritabilities ( ) ranged from 0.263 to 0.680 for grain-related traits and from 0.030 to 0.055 for root traits. No interaction of genomic by water availability gradient was found. The relative amount of genetic variance was similar for grain-related and root traits. The PA ranged from 0.246 to 0.477 for grain-related traits and from 0.057 to 0.062 for root traits. Including neighbor effects in the model increased the and the PA for GY and NC. Conclusions In conclusion, it is possible to do genomic prediction for grain-related and root traits in the semi-field facility. Accuracy of root records is low using the current evaluation system due to large environmental variance, and more accurate root records are needed." @default.
• W3112156748 created "2020-12-21" @default.
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• W3112156748 date "2020-01-29" @default.
• W3112156748 modified "2023-09-26" @default.
• W3112156748 title "Genomic prediction of yield and deep root growth in wheat using a semi-field phenotyping system with a water availability gradient" @default.
• W3112156748 doi "https://doi.org/10.21203/rs.2.22201/v1" @default.
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