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Visual Selection for Grain Yield in Barley 1
Author(s) -
Atkins R. E.
Publication year - 1964
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/cropsci1964.0011183x000400050018x
Subject(s) - citation , selection (genetic algorithm) , grain yield , library science , yield (engineering) , biology , horticulture , computer science , artificial intelligence , physics , thermodynamics
REDUCING the number of selections made from early generation hybrid populations to a size suitable for intensive evaluation is a continual problem for crop breeders. Simply inherited traits upon which individual plant selection may be based often are difficult to identify. For many of the prominent barley (Hordeum vulgare L.) diseases the expression of resistant or susceptible reactions is not clear cut, or the creation of artificial epiphytotics of the disease in the field is a difficult and laborious task. Selection by visual discrimination is effective for certain plant characteristics, such as height, maturity, and awn or head