The potential of phenomic selection for the joint Ethiopian malt barley breeding program

Abstract Phenomic selection is an alternative approach to genomic selection that uses near‐infrared spectra information to predict the performance of genotypes. This research assessed the effectiveness of phenomic selection in barley ( Hordeum vulgare L.) using data from 21 trials carried out at Bekoji, Kofele, Holetta, Debre Markos, and Debre Berhane in Ethiopia from 2018 to 2021. Fivefold cross‐validation analysis showed robust predictability for traits, ranging from 0.5 to 0.8 for days to heading, days to maturity, plant height, 1000‐kernel weight, and grain yield. Days to heading and days to maturity showed similar correlation patterns across the ranges of the wavelengths. Days to heading and 1000‐kernel weight were positively and negatively correlated along the range of the wavelength above 1800 nm, respectively. Forward validation using an independent set of genotypes provided predictability above 0.3 for all traits. This result underscores the effectiveness of phenomic selection and its potential application in low‐budget, small‐scale breeding programs. The study affirmed the Ethiopian barley breeding program could implement phenomic selection as a routine selection tool without extra cost.