Accuracy of Genomic Prediction of Yield and Sugar Traits in Saccharum spp. Hybrids Article

Islam, Md S, McCord, Per, Read, Quentin D et al. (2022). Accuracy of Genomic Prediction of Yield and Sugar Traits in Saccharum spp. Hybrids . 12(9), 10.3390/agriculture12091436

Open Access International Collaboration

cited authors

  • Islam, Md S; McCord, Per; Read, Quentin D; Qin, Lifang; Lipka, Alexander E; Sood, Sushma; Todd, James; Olatoye, Marcus

sustainable development goals

authors

publication date

  • September 1, 2022

webpage

keywords

  • Agriculture
  • Agronomy
  • GENE
  • GENOTYPE
  • Life Sciences & Biomedicine
  • MARKER
  • MULTI-TRAIT
  • PERFORMANCE
  • POPULATIONS
  • QUANTITATIVE TRAITS
  • REGRESSION
  • RUST RESISTANCE
  • SELECTION
  • Saccharum spp. hybrid
  • Science & Technology
  • genomic selection
  • prediction accuracy
  • sugar and yield trait
  • sugarcane

Digital Object Identifier (DOI)

publisher

  • MDPI

volume

  • 12

issue

  • 9