Abstract

TORRES TAPIA, María Alejandra et al. Characterization and grouping of barleys beardless using infrared sensors and forage yield. Rev. Mex. Cienc. Agríc [online]. 2019, vol.10, n.5, pp.1125-1137.  Epub Mar 03, 2020. ISSN 2007-0934.  https://doi.org/10.29312/remexca.v10i5.1606.

In the northeast of Mexico, it is necessary to have varieties of barley adapted to extreme climates as an alternative in forage production. For the estimation of biomass, there are remote infrared sensors that have not been applied in forage barley. The objectives were to characterize, group and select lines of barley forage beardless, and estimate the association of sensors with performance. 45 lines against commercial varieties were evaluated in two municipalities of the state of Coahuila, during autumn-winter 2016-17; an alpha-lattice design with three replications was carried out, forage yield, plant height, phenological stage was determined, and an infrared sensor was an IP-54 thermometer, a GreenSeekerTM for standardized differential vegetation index (NDVI) and a SPAD-420 for chlorophyll content; evaluating in two samplings. An analysis was made subdivided plots for variables, correlations for relationship estimation and a multivariate analysis by sampling. The results indicated highly significant differences in yield between genotypes, localities and interactions. Lines 6, 43, 44, 40 and 1 presented desirable forage production characteristics. The analysis of conglomerates at 75 and 90 dds retained five and seven interest groups respectively, marking differences between groups in the T2 test, forming different groups in commercial varieties and lines. A positive and significant association between NDVI and yield was not detected for the genotypes studied. The multivariate methods were useful tools to select fast production forage lines. Affirming the barleys as a good option for fodder production in winter times in semi-arid zones, compared to oats and wheat.

Keywords : barley without edge; dry matter yield; NDVI.

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