Tag Archives: additive variance

77–87 O. Gayosso-Barragán, S.A. Rodríguez-Herrera, C.D. Petroli, O. Antuna-Grijalva, A. López-Benítez, A. Mancera-Rico, M.P. Luévanos-Escareño and A.J. Lozano-del Río
Genetic components for fodder yield and agronomic characters in maize lines
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Genetic components for fodder yield and agronomic characters in maize lines

O. Gayosso-Barragán¹⁷, S.A. Rodríguez-Herrera²*, C.D. Petroli³, O. Antuna-Grijalva⁴, A. López-Benítez², A. Mancera-Rico⁵, M.P. Luévanos-Escareño⁶ and A.J. Lozano-del Río²

¹Postgrado en Ciencias Agrarias, Universidad Autónoma Agraria Antonio Narro UL, Periférico Raúl López Sánchez, MX27054 Torreón, Coahuila, México
²Departamento de Fitomejoramiento, Universidad Autónoma Agraria Antonio Narro, Calzada Antonio Narro 1923, MX25315 Saltillo, Coahuila, México
³International Maize and Wheat Improvement Center (CIMMYT), El Batán Km. 45, MX56237, Texcoco, Estado de México, México
⁴Departamento de Fitomejoramiento, Universidad Autónoma Agraria Antonio Narro UL, Periférico Raúl López Sánchez, MX27054 Torreón, Coahuila, México
⁵Centro de Capacitación y Desarrollo en Tecnologías de Semillas, Universidad Autónoma Agraria Antonio Narro, Calzada Antonio Narro 1923, MX25315 Saltillo, Coahuila, México
⁶Facultad de Ciencias Biológicas, Universidad Autónoma de Coahuila, Carretera Torreón-Matamoros Km. 7.5, MX27275 Torreón Coahuila, México
⁷Centro Nacional de Investigación Disciplinaria en Agricultura Familiar (CENID AF), Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias (INIFAP). Carretera Ojuelos-Lagos de Moreno km 8.5, MX47540 Ojuelos, Jalisco, México
*Correspondence: sarh50@live.com.mx

Abstract:

In maize hybrid development, it is essential to know the parent’s performance per se in different environments as well as the genetic base in populations in order to facilitate selection of superior lines. The objective of this work was to estimate the genetic variance and heritability while assessing agronomic behavior in 237 maize fodder lines featuring different inbred levels and origin in two different locations. Traits such as plant height, cob height, stem diameter, and fodder yield were taken. A combined variance analysis was carried out using this information. The variable mean squares showing significant differences were used to estimate the genetic variance components. Significant differences were observed (p ≤ 0.01) for the line variation source and location × line interaction in all assessed characteristics. The genetic parameter estimation provided information on the existing genetic variance and heritability among the population which is important for the progress of the selection process. Lines CLWN701, CLWN345, CML476, CML216, CLWQ232, and CML 528 measured 74.8, 72.2, 67.7, 65.8, 63.8 and 62.5 t ha-1, respectively showed the highest yield potential for green fodder.

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