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Visual Selection as a Method for Improving Yield of Triticale 1
Author(s) -
Salmon D. F.,
Larter E. N.
Publication year - 1978
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/cropsci1978.0011183x001800030017x
Subject(s) - triticale , yield (engineering) , biology , selection (genetic algorithm) , population , statistics , agronomy , mathematics , computer science , artificial intelligence , demography , materials science , sociology , metallurgy
In 1973 and 1974, lines from eight F 3 populations of hexaploid triticale (X Triticosecale Wittmack) were visually rated for yield by a group of selectors comprised of experienced (plant breeder), novice (graduate student), and inexperienced (summer student) workers. Each selector identified those lines which he predicted would yield as high or higher than the nearest check plot. The experienced selectors and most of the novice selectors identified a high number of the best lines in each population. Comparisons of selector efficiencies indicated that the experienced selectors were more able to identify high yielding lines than were the inexperienced selectors. In addition, the mean yield of the best 20 lines as identified by experienced selectors did not, in general, deviate significantly from the mean yield of those that yielded highest by actual measure. Visual evaluation may be a useful method for identifying high yielding lines of triticale.