Effectiveness of two grid systems of mass selection in faba bean
1997
Roupakias, D. | Sachinoglou, A. | Lazarou, E. | Vafias, B. | Tsaftaris, A. (Aristotelian Univ. of Thessaloniki (Greece). Department of Genetics and Plant Breeding)
The effectiveness of two grid systems of mass selection (moving hexagonal grid of honeycomb selection under low density versus the fixed grid under high density) was evaluated in faba bean. Faba bean cv Polycarpe was crossed to nine pollinators of different origin. The F1 hybrids and the parent cv Polycarpe were evaluated in a honeycomb design without competition. The six higher-yielding F1s were further evaluated in the F2 generation under the same conditions. The F2 population was selected by the honeycomb mass selection and the seeds of each of the seven selected plants (six originating from the highest-yielding F2 population and one from the second highest yielder) were divided and half was further selected using honeycomb mass selection without competition and the other half using grid mass selection with competition. After four cycles of selection, four mixtures were made (H1, H2, G1, G2). These mixtures, together with two controls (the parental Polycarpe and cv Effe) were evaluated in a randomized complete block design in two locations for two years. The four selected populations significantly outyielded the common parent Polycarpe in both locations in the year with high average yields and in one location in the year with low average yields. Under solid stand, the annual yield response to honeycomb mass selection was 5.6 percent (H1 + H2) as compared with 6.1 percent (G1 + G2) in the fixed grid system. This difference was not significant. It is concluded that the honeycomb mass selection under low density and the fixed grid mass selection under high density were equally effective under the conditions of this experiment
اظهر المزيد [+] اقل [-]الكلمات المفتاحية الخاصة بالمكنز الزراعي (أجروفوك)
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تم تزويد هذا السجل من قبل International Center for Agricultural Research in the Dry Areas