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Empirical Evaluation of Single‐Plant and Family Selection Strategies in Wheat 1
Author(s) -
Thakare R. B.,
Qualset C. O.
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/cropsci1978.0011183x001800010030x
Subject(s) - selection (genetic algorithm) , biology , grain yield , sowing , randomized block design , mathematics , agronomy , statistics , horticulture , computer science , machine learning
Random F 3 families from the cross of two high‐yielding short‐statured spring wheats ( Triticum aestivum L.) ‘Anza’ and ‘Bluebird‐2’ were space‐planted in two blocks in a field planting. From each F 3 family, two to five of the best appearing plants from one block and five random plants in the second block were selected to study four selection strategies. Grain yields of the F 3 plants were obtained and 36 random families, each having three random and two visually selected lines, were studied in the F 4 in field trials at two locations using the commercial seeding rate. The F 3 selection strategies and F 4 yield results, given as percentages over the random F 4 mean yield for the random and visually selected progenies, respectively, were as follows: (1) individual selection, 0.33 selection intensity, 4.21 and 4.73%; (2) within family selection, best plant in each family selected, 2.43 and 2.87%; (3) family selection, 0.33 selection intensity, 1.01 and 5.52%; and (4) combined family and within family selection, 0.33 selection intensity for families with the best plant selected within families, 3.56 and 7.57%. Three‐stage selection using (1) visual selection of plants, (2) selection of families on the basis of the mean of yields of visually selected plants, and (3) selection of best plants within selected families appears to be an effective and easily applied strategy worthy of further evaluation.

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