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Tropical maize synthetics improvement for moisture-stress tolerance for small-scale farmers

By: Gama, E.E.G | Centro Internacional de Mejoramiento de Maiz y Trigo (CIMMYT) Kenya | 7. Proceedings of the Eastern and Southern Africa Regional Maize Conference Nairobi (Kenya) 5-11 Feb 2002.
Contributor(s): Duraes, F.O.M [coaut.] | Friesen, D.K.|Palmer, A.F.E [eds.] | Leite, C.E.P [coaut.] | Oliveira, A.C [coaut.] | Pacheco, C.A.P [coaut.] | Parentoni, S.N [coaut.] | Santos, M.X [coaut.].
Material type: materialTypeLabelBookAnalytics: Show analyticsPublisher: Nairobi (Kenya) KARI|CIMMYT : 2002Description: p. 288-291.ISBN: 970-648-120-6.Subject(s): Cultivation | Drought stress AGROVOC | Food crops | Maize | Moisture content | Rainwater | Seed production | Tropical zones | CIMMYT | KARI | Soil fertility AGROVOC | Plant breeding AGROVOCDDC classification: 338.16 Summary: Improved maize cultivars that tolerate water stress conditions to produce high yields would be highly desirable for areas practicing low input agriculture. Recurrent selection schemes for improving stress tolerance characteristics have been successfully demonstrated. Thus, our objective was to evaluate 144 S2 progenies from each of two synthetic maize populations, Syndent and Syntlint, from an improvement breeding programme for drought tolerance, to obtain synthetics with high yield potential and good agronomic performance under the water stress conditions of the semi-arid regions of Brazil. The 288 S2 progenies from the two synthetics were evaluated using a 14 x 14 lattice design with two replications in two conditions with water stress (WS) and no water stress (NS) at Janaúba, MG, Brazil, in 2000. The combined analysis of variance showed highly significant (P<0.01) effects for environments and progenies and the interaction between them for Synflint, but a significant effect (P<0.05) for the interaction for Syndent. The estimates found for the broad sense heritability for ear yield of Synflint, were of 0.382 and 0.752 for WS and NS, respectively; and for the Syndent the estimates were of 0.607 and 0.635 for WS and NS, respectively. The genetic variance estimates were greater in NS than in WS environments. The error variance estimates were great for the WS x NS interaction for the two synthetics. The predicted responses to selection pointed out better grains for yield when selection is done in NS than in WS environments.Collection: CIMMYT Publications Collection
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Book CIMMYT Knowledge Center: John Woolston Library

Lic. Jose Juan Caballero Flores

 

CIMMYT Publications Collection 338.16 FRI (Browse shelf) 1 Available 1D630188
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Improved maize cultivars that tolerate water stress conditions to produce high yields would be highly desirable for areas practicing low input agriculture. Recurrent selection schemes for improving stress tolerance characteristics have been successfully demonstrated. Thus, our objective was to evaluate 144 S2 progenies from each of two synthetic maize populations, Syndent and Syntlint, from an improvement breeding programme for drought tolerance, to obtain synthetics with high yield potential and good agronomic performance under the water stress conditions of the semi-arid regions of Brazil. The 288 S2 progenies from the two synthetics were evaluated using a 14 x 14 lattice design with two replications in two conditions with water stress (WS) and no water stress (NS) at Janaúba, MG, Brazil, in 2000. The combined analysis of variance showed highly significant (P<0.01) effects for environments and progenies and the interaction between them for Synflint, but a significant effect (P<0.05) for the interaction for Syndent. The estimates found for the broad sense heritability for ear yield of Synflint, were of 0.382 and 0.752 for WS and NS, respectively; and for the Syndent the estimates were of 0.607 and 0.635 for WS and NS, respectively. The genetic variance estimates were greater in NS than in WS environments. The error variance estimates were great for the WS x NS interaction for the two synthetics. The predicted responses to selection pointed out better grains for yield when selection is done in NS than in WS environments.

English

0410|AGRIS 0401|AL-Maize Program

Juan Carlos Mendieta

CIMMYT Publications Collection

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