Optimum contribution selection maximizes the genetic gain of genomic breeding programs in the presence of G×E

Publikation: Working paperForskning

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@techreport{eeb8b4f1a77c4b9d8d73d043ff52060c,
title = "Optimum contribution selection maximizes the genetic gain of genomic breeding programs in the presence of G×E",
author = "Lu Cao",
year = "2020",
month = nov,
day = "21",
language = "English",
type = "WorkingPaper",

}

RIS

TY - UNPB

T1 - Optimum contribution selection maximizes the genetic gain of genomic breeding programs in the presence of G×E

AU - Cao, Lu

PY - 2020/11/21

Y1 - 2020/11/21

M3 - Working paper

BT - Optimum contribution selection maximizes the genetic gain of genomic breeding programs in the presence of G×E

ER -