RELATIONSHIP BETWEEN VIABILITY AND VIGOR SEED TESTS AND FIELD EMERGENCE OF CORN (Zea mays L.) BY USING REGRESSION ANALYSIS.
ANBAR JOURNAL OF AGRICULTURAL SCIENCES,
2008, Volume 6, Issue 1, Pages 108-118
AbstractViability and vigor seed tests and field emergence were conducted for four synthetically varieties of corn (Zea mays L.). Its bohooth 106, 5012, talar, and rabiee. The objective of this study was to predict field emergence via viability and vigor seed tests in addition to know which one of laboratory tests was closer to predict field emergence. Regression analysis was conducted on the basis of independent variable was viability and vigor seed tests and dependent variable was field emergence. Also data of germination methods under study in addition to field emergence were analyzed according to a randomized complete block design (one way) with four replications. For rabiee cv. the regression analysis showed a significant positive relationship between field emergence and accelerated aging test, electrical conductivity test, and seedling dry weight. This indicates to the ability of predicting field emergence via these tests. The closer relationship was with accelerated aging test. However other relationships were not significant for rabiee cv. Also for other three cvs., where all the relationships between studied laboratory tests and field emergence were not significant. Analysis of variance for studied germination methods showed significant difference between field emergence and each one of laboratory germination methods for all studied cvs., while it was not significant with final count at standard germination test for talar, and rabiee cvs. We could conclude that the standard germination test could express seed quality and its potential performance at field with a better reality compare with other studied laboratory tests with respect to talar, and rabiee cvs. Results of analysis of variance were inconsistent with the results of regression analysis and this lead to the conclusion that the obtaining results might differ according to the differences in the statistic of processes used for the same data.
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