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Selection for agronomic characters in hill and row plots of soybeans glycine max

Selection for agronomic characters in hill and row plots of soybeans glycine max

Crop Science 21(4): 591-595

The effectiveness of selection for yield, maturity, height, lodging and phenotypic score among soybean [G. max (L.) Merr.] lines in hill and row plots and in random and nonrandom complete-block desings were compared. Progeny from 50 random S3 plants of Maturity Group II were grown in 2-row, unbordered plots with 69 cm between rows within the plot and 102 cm between plots and in single, unbordered hill plots spaced 102 .times. 102 cm. A randomized complete block design was used for the row plots, and both randomized and nonrandomized complete-block designs were used for the hill plots. There was no difference in the effectiveness of selection for yield between random and nonrandom hills. The hill and row plots were equally effective in selecting the top 2 lines. Actual genetic gain was 2.5 q[quintals]/ha for random hills, 2.8 q/ha for nonrandom hills, and 3.0 q/ha for row plots with a 10% selection intensity. Considering possible differences in the selection differential and number of years per cycle between hill and row plots, the predicted genetic gain per year was 0.6 q/ha for random hills vs. 0.4 q/ha for rows. Selection for maturity, height, lodging and phenotypic score was similar in effectiveness for the 3 plot arrangements. Genotypic correlations of line performance between random and nonrandom hills had coefficients of 0.99-1.02 for the 4 characters. The genotypic correlations between hills and rows ranged 0.80-0.99. Hill plots were as effective as rows for phenotypic selection of agronomically desirable genotypes. Evaluation of yield, maturity, height, lodging or phenotypic score can be done effectively in single, unbordered hill plots. The primary advantages of hills are the reduction in number of years required for cultivar development or recurrent selection by eliminating the need for a generation of seed increase and the larger number of lines that can be tested. Nonrandom hill plots may be useful in cases where randomization prevents efficient discarding of inferior lines before harvest.

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Accession: 006380403

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