The Application of Genomic Technologies to Investigate the Inheritance of Economically Important Traits in Goats

Table 1

Identification of quantitative trait loci for economically important traits in goats.

Type of trait	Phenotype	Chromosome	Population	Reference
Conformation	Head length	1, 4	Angora	Marrube et al. (2007) [5]
	Body length	8
	Chest depth	2
	Chest circumference	9
Growth	Body weight	4, 8, 17, 27	Angora	Visser et al. (2013) [6]
	Weaning weight	16, 19
	Body weight, average daily gain	1, 2, 5	Rayini	Mohammad Abadi et al. (2009) [9]
Mohair fiber quality and weight	Coeff. var. fiber diameter	1, 13	Angora	Cano et al. (2007) [3]
	Kemp fiber	5
	Discontinuous medullated fibers	2
	Staple length	2
	Fleece weight	2, 5, 24	Angora	Visser et al. (2011) [4]
	Fiber diameter	4, 24
	Comfort factor Spinning firmness	8, 13, 18, 20
Cashmere fiber	Cashmere yield	2, 5, 13	Rayini	Mohammad Abadi et al. (2009) [9]
Resistance to gastrointestinal nematodes	Fecal egg count	22, 26	Creole	De La Chevrotière et al. (2012) [2]
	Eosinophil count	7, 8, 14
	Packed cell volume	5, 9, 21
	IgE anti-L3	3, 16
	IgE anti-ESP	1, 26
	Worm egg count	23	Angora, Cashmere	Bolormaa et al. (2010)^1 [7]
Milk traits^2	Milk yield	6, 14	—	Roldán et al. (2008)^3 [8]
	Fat percentage	14, 20
	Protein percentage	3, 20

¹Partial genome scan for chromosome 23 (major histocompatibility complex region).
²Shape parameter of the lactation curve for each one of the phenotypes.
³Partial genome scan for 4 chromosomes (3, 6, 14, and 20).