Lívia Gomes Torres, Eder Jorge de Oliveira, Alex C Ogbonna, Guillaume J Bauchet, Lukas A Mueller, Camila Ferreira Azevedo, Fabyano Fonseca E Silva, Guilherme Ferreira Simiqueli, Marcos Deon Vilela de Resende
Genomic prediction (GP) offers great opportunities for accelerated genetic gains by optimizing the breeding pipeline. One of the key factors to be considered is how the training populations (TP) are composed in terms of genetic improvement, kinship/origin, and their impacts on GP. Hydrogen cyanide content (HCN) is a determinant trait to guide cassava's products usage and processing. This work aimed to achieve the following objectives: (i) evaluate the feasibility of using cross-country (CC) GP between germplasm's of Embrapa Mandioca e Fruticultura (Embrapa, Brazil) and The International Institute of Tropical Agriculture (IITA, Nigeria) for HCN; (ii) provide an assessment of population structure for the joint dataset; (iii) estimate the genetic parameters based on single nucleotide polymorphisms (SNPs) and a haplotype-approach...
2021: Frontiers in Plant Science