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The multivariate index allows the selection of white-grain maize hybrids in contrasting environments

  • Lorenzo Pérez López
  • , Leandris Argentel-Martínez
  • , Ofelda Peñuelas-Rubio
  • , Francisco Cervantes Ortiz
  • , Frank Denis Torres Huaco
  • , Cesar Leobardo Aguirre-Mancilla
  • , Jorge Gonzáles Aguilera
  • , Paulo Eduardo Teodoro

Research output: Contribution to journalOriginal Articlepeer-review

Abstract

Maize is a crop of great economic, social and cultural importance in many countries worldwide, especially in Mexico. The objective of this work was to use a multivariate index to select white grain maize hybrids through agronomic and physiological traits obtained in two environments. A factorial design (2 × 15) was used: two environments (E1 and E2) and 15 hybrids, with four replications. The analysis of variance showed highly significant differences for all nine agronomic and eight physiological variables evaluated when considering the effect of environment and hybrids. The number of rows per ear and root water potential did not show interactions between factors. The heritabilities of the agronomic and physiological characteristics ranged from 5.85 to 75.88 and from 42.41 to 99.82%, respectively. High variability was found among hybrids in the two environments for the two sets of traits evaluated. The determination of a multivariate index from the index proposed by Lins Bins (Pi) allowed us to obtain three multivariate indices associated with agronomic (Pim-agro), physiological (Pim-physiol) and their combination (PimAgro+Phisiol) characteristics. The selection through these indices showed that it is possible to identify hybrids with high stability and general adaptability with favorable characteristics in white maize for the evaluated environments and showed the possibility of improving the selection criteria by using of the proposed multivariate index.
Translated title of the contributionEl índice multivariado permite la selección de híbridos de maíz de grano blanco en entornos contrastantes
Original languageAmerican English
Pages (from-to)1886
Number of pages1901
JournalRevista Brasileira de Geografia Fisica
Volume18
Issue number3
DOIs
StateIndexed - 2 Apr 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  2. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  3. SDG 13 - Climate Action
    SDG 13 Climate Action

Controlled vocabulary of academic degrees and professional titles (RENATI)

  • Doctor of Pholosophy

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