Evaluation of rice lines (Oryza sativa L.) and phenotypic stability in five locations of Río San Juan, Nicaragua

Authors

DOI:

https://doi.org/10.5377/calera.v19i32.8437

Keywords:

Alpha Lattice, genotype, environment genotype interaction, genetic material

Abstract

Rice lines (Oryza sativa L.) from CIAT (Colombia) and Nicaraguan Institute of Agricultural Technology (INTA) in collaboration with the Technical Mission of China Taiwan, and evaluated in environments of the San Juan River Department (San Carlos, El Castillo, San Miguelito, Los Cerritos and Los Pantanos) during the period 2014-2016. In Alpha Lattice designs (5x5) they tested 25 genetic materials in San Carlos, El Castillo, San Miguelito, selected 10 lines and organized in designs Complete Blocks Random (RCB) in Los Cerritos and Los Pantanos, and employees univariate models and mixed in the Genotype-environment interaction (GxE). In the towns of San Carlos, El Castillo and San Miguelito, the lines CT18238-23- 6-1-4-1-2-M (T10), CT18247-11-5-2-3-2-2-M stood out (T14) and the witnesses INTA Dorado and INTA San Juan with yields greater than 8,200 kg ha-1. In Los Cerritos, line CT18238-23-6-1-4-1-2-M (T10) exceeded 11,500 kg ha-1, with good phenotypic acceptability and tolerant to Helmistosporium and Pirycularia. The methodologies used in GxE, determined that the T15 genotypes (PCT-4 \ SA\1\1, BO\3\1> 60-3-5-2-M) and T24 (M-57-191) were unstable and with low yields. However, the genotypes T6 (CT18233-15-6-6- 4-1-3-M) and T7 (CT18245-11-6-2-3-4-3-M) were stable and with good performance. The genotypes INTA San Juan and INTA Dorado, had intermediate and high yields in some environments, but stable genotypes with other analysis methodologies.

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Published

2019-06-05

How to Cite

Sandoval Balladares, Y., Benavides González, Álvaro, & Marín Fernández, V. (2019). Evaluation of rice lines (Oryza sativa L.) and phenotypic stability in five locations of Río San Juan, Nicaragua. La Calera, 19(32), 24–32. https://doi.org/10.5377/calera.v19i32.8437

Issue

Section

Plant science