Abstract
<p>Effective interpretation of the data on breeding programs is important at all stages of plant improvement and the genotype by trait (GT) biplot was used for two-way wheat dataset as genotypes with multiple traits. For this propose, 18 rye genotypes with specific characteristics were evaluated in randomized block design with four replications. The GT biplot for rye dataset explained 61% of the total variation of the standardized data (the first two principal components explained 40 and 21% respectively). The polygon view of GT presented for 11 different traits of rye cultivars showed six vertex cultivars as G1, G3, G6, G8, G11 and G13 whose genotype G8 had the highest values for most of the measured traits. Generally based on vector view, ideal genotype and ideal tester biplots, it was demonstrated that the selection of high seed yield will be performed via seed number per spike, first internode weight, number of spike per area and harvest index. These traits should be considered simultaneously as effective selection criteria evolving high yielding rye cultivars because of their large contribution to seed yield. The genotypes G8 and G7 following to genotypes G3, G18 and G19 could be considered for the developing of desirable progenies in the selection strategy of rye improvement programs.</p>
Highlights
World production of rye (Secale cereale L.) is about 5% that of main winter cereals like wheat or rice but in areas with extreme climatic and poor soil conditions, it may occupy up to 30% of the SAMANEh yARI, NASER SABAGhNIA, MOKhTAR PASANDI, MOhSEN JANMOhAMMADI cultivation [7]
The main global part of the rye harvest is used for bread baking, especially in European countries where >11 million ton or 85% of rye is harvested in this region
The annual production of rye in Iran is near to 400 ton which was achieved from about 400 ha [5]. the average yield of this crop in semi-arid regions like Iran is relatively low. yield performance of rye is comparable to wheat yield on good soils and superior on poor soils where wheat performs badly [6]
Summary
Assessment of genotype × trait interaction of rye genotypes for some morphologic traits through GGE biplot methodology. Effective interpretation of the data on breeding programs is important at all stages of plant improvement and the genotype by trait (GT) biplot was used for two-way wheat dataset as genotypes. Based on vector view, ideal genotype and ideal tester biplots, it was demonstrated that the selection of high seed yield will be performed via seed number per spike, irst internode weight, number of spike per area and harvest index. These traits should be considered simultaneously as effective selection criteria evolving high yielding rye cultivars because of their large contribution to seed yield. The genotypes G8 and G7 following to genotypes G3, G18 and G19 could be considered for the developing of desirable progenies in the selection strategy of rye improvement programs
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