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Comportamiento de lineas S1 de maiz bajo condiciones de humedad restringida

By: Vega Sánchez, M.C | Centro Internacional de Mejoramiento de Maiz y Trigo (CIMMYT), Mexico DF (Mexico).
Contributor(s): Arreola Garcia, J [coaut.] | Edmeades, G.O.|Banziger, M.|Mickelson, H.R.|Pena-Valdivia, C.B [eds.] | Espinoza V., J [coaut.] | Guerrero O,. J.L [coaut.] | Navarro G., E [coaut.].
Material type: materialTypeLabelBookAnalytics: Show analyticsPublisher: Mexico, DF (Mexico) CIMMYT : 1997ISBN: 968-6923-93-4.Subject(s): Breeding methods | Coahuila | Crossbreeding | Irrigation | Mexico | Rainfed farming | Selection | CIMMYT | Zea mays AGROVOC | Yields AGROVOC | Hybrids AGROVOCDDC classification: 633.153 Summary: This research was carried out during 1991 in two test environments under irrigation and rainfed conditions in the state of Coahuila, Mexico, to evaluate using two testers groups of S1 lines from the "NEPO" population, known for its high grain lysine content, and to assess line performance under a system of irrigation drought. A total of 133 test crosses were made and compared to six hybrids (five experimentals and one commercial), using a random block design and two replications per environment. The experimental units comprised rows 4.4 m long, with a distance of 0.8 meters between rows. Results showed that test crosses surpassed the best check by 7% and 11% for ear yield under irrigation and drought, respectively. Yields under tile two conditions ranged from 7.70 to 0.84 t ha-1 and 7.06 to 1.49 t ha-1, respectively. An outstanding group of S1 lines was identified for yield (4-5 t ha-1), general combining ability and other agronomic traits in both environments. However, only four lines were selected based on having a drought index > 1, which indicates their adaptability for environments with low rainfall. We conclude that the irrigation-drought system was efficient for selecting S1 lines and that Tester 1 (Compuesto Norteño C2) was the best at discriminating among lines. With the selected genotypes, we are in a position to obtain better hybrids and better nutritional quality than with the commercial hybrid "AN- 310," which is widely accepted in various rainfed zones in the country.Collection: CIMMYT Publications Collection
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Conference proceedings CIMMYT Knowledge Center: John Woolston Library

Lic. Jose Juan Caballero Flores

 

CIMMYT Publications Collection 633.153 EDM (Browse shelf) 1 Available 2G624179
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This research was carried out during 1991 in two test environments under irrigation and rainfed conditions in the state of Coahuila, Mexico, to evaluate using two testers groups of S1 lines from the "NEPO" population, known for its high grain lysine content, and to assess line performance under a system of irrigation drought. A total of 133 test crosses were made and compared to six hybrids (five experimentals and one commercial), using a random block design and two replications per environment. The experimental units comprised rows 4.4 m long, with a distance of 0.8 meters between rows. Results showed that test crosses surpassed the best check by 7% and 11% for ear yield under irrigation and drought, respectively. Yields under tile two conditions ranged from 7.70 to 0.84 t ha-1 and 7.06 to 1.49 t ha-1, respectively. An outstanding group of S1 lines was identified for yield (4-5 t ha-1), general combining ability and other agronomic traits in both environments. However, only four lines were selected based on having a drought index > 1, which indicates their adaptability for environments with low rainfall. We conclude that the irrigation-drought system was efficient for selecting S1 lines and that Tester 1 (Compuesto Norteño C2) was the best at discriminating among lines. With the selected genotypes, we are in a position to obtain better hybrids and better nutritional quality than with the commercial hybrid "AN- 310," which is widely accepted in various rainfed zones in the country.

Spanish

9802|AGRIS 9702

Jose Juan Caballero

CIMMYT Publications Collection

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Lunes –Viernes 9:00 am. 17:00 pm. Si tiene cualquier pregunta, contáctenos a CIMMYT-Knowledge-Center@cgiar.org