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APA citation
Rosales, A., Crossa, J., Cuevas, J., Cabrera-Soto, L., Dhliwayo, T., Ndhlela, T., & Palacios-Rojas, N. (2022). Near-infrared spectroscopy to predict provitamin A carotenoids content in maize. Agronomy, 12(5), 1027. https://doi.org/10.3390/agronomy12051027
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Abstract
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Vitamin A deficiency (VAD) is a public health issue worldwide. Provitamin A (PVA) biofortified maize serves as an alternative to help combat VAD. Breeding efforts to develop maize varieties with high PVA carotenoid content combine molecular and phenotypic selection strategies. The phenotypic assessment of carotenoids is currently done using liquid chromatography, a precise but time-and resource-consuming methodology. Using near-infrared spectroscopy (NIRS) could increase the breeding efficiency. This study used ultra-performance liquid chromatography (UPLC) data from 1857 tropical maize genotypes as a training set and NIRS data to do an independent test of a set of 650 genotypes to predict PVA carotenoids using Bayesian and modified partial least square (MPLS) regression models. Both regression methods produced similar prediction accuracies for the total carotenoids (r2 = 0.75), lutein (r2 = 0.55), zeaxanthin (r2 = 0.61), β-carotene (r2 = 0.22) and β-cryptoxanthin (BCX) (r2 = 0.57). These results demonstrate that Bayesian and MPLS regression of BCX on NIRS data can be used to predict BCX content, the current focus on PVA enhancement, and thus offers opportunities for high-throughput phenotyping at a low cost, especially in the early stages of PVA maize breeding pipeline when many genotypes must be screened.
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Journal
Agronomy
Journal volume
12
Journal issue
5
Article number
1027
Place of Publication
Basel (Switzerland)
Publisher
MDPI
AGROVOC
Related Datasets
CGIAR Initiatives
Initiative
Accelerated Breeding
Breeding Resources
Breeding Resources
Impact Area
Nutrition, health & food security
Poverty reduction, livelihoods & jobs
Poverty reduction, livelihoods & jobs
Action Area
Genetic Innovation
Resilient Agrifood Systems
Resilient Agrifood Systems
Donor or Funder
Harvest Plus
CGIAR Research Program on Maize
Foundation for Research Levy on Agricultural Products (FFL)
Agricultural Agreement Research Fund
Bill & Melinda Gates Foundation (BMGF)
United States Agency for International Development (USAID)
CGIAR Research Program on Maize
Foundation for Research Levy on Agricultural Products (FFL)
Agricultural Agreement Research Fund
Bill & Melinda Gates Foundation (BMGF)
United States Agency for International Development (USAID)