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Recurrent Mass Selection Based on Selfed‐Plant Evaluation in Allogamous Species
Author(s) -
Dhillon B. S.
Publication year - 1991
Publication title -
crop science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.76
H-Index - 147
eISSN - 1435-0653
pISSN - 0011-183X
DOI - 10.2135/cropsci1991.0011183x003100040047x
Subject(s) - biology , selection (genetic algorithm) , dominance (genetics) , allele , botany , genetics , gene , machine learning , computer science
Plant breeders need to develop methods having higher genetic gains than those available. The objective of this study is to propose recurrent selfed‐plant mass (SPM) selection, derive its expected genetic gain (Δ GS ), and to compare Δ GS with that of mass selection (Δ GM ). In SPM selection, S 1 plants are evaluated and recombined, and a cycle is completed in a year if an off‐season nursery is available. The Δ GS per cycle was 18 to 34% higher than Δ GM for degree of dominance ranging from none to complete dominance and the frequency of favourable alleles from low to intermediate (0.1–0.5). The SPM selection has another advantage, in that deleterious recessive alleles are exposed.