Yield performance and GGE biplot analysis of wheat genotypes under two irrigation treatments at El Bajío, Mexico

ABSTRACT In Guanajuato, Mexico, water deficits have dramatically increased in recent years due to over-exploitation of this resource. The objective was to identify high yielding wheat (Triticum spp.) varieties under two irrigation regimes. The experiments were planted at Celaya, Guanajuato, for two consecutive (2013-2014 and 2015-2016) growing seasons (GS). Eleven commercial varieties and nine experimental lines were evaluated under 3 or 4 irrigation regimes; split-plot design with 4 replicates was considered; data on yield performance and its components were measured. There were significant differences between GS and number of irrigation regimes (p ≤ 0.01) for most evaluated traits. ANOVA showed significant differences for all traits in the study, except for the 1000-grains weight. Growing seasons affected yield, grains number m-2 and biomass, mainly; on last cropping season, grain yield was higher (1.8 t ha-1) than first one; strong gluten genotypes were more stable, as compared with the soft gluten genotypes. Some experimental varieties exceeded commercial varieties, which means success in wheat breeding. Genotypes Experimental Line D and control ‘Bárcenas F2002’ under 3 irrigations regime treatment showed the highest grain yield (7.7 and 7.0 t ha-1, respectively). On 4 irrigations regime, the best yielding genotypes were experimental lines D, and H, with 6.5 and 6.1 t ha-1, respectively. Based on regression deviations the most stable and predictable wheat genotypes were strong gluten genotypes.

Bibliographic Details

Main Authors:	Buenrostro-Rodríguez,Juan F., Solís-Moya,Ernesto, Gámez-Vázquez,Alfredo J., Raya-Pérez,Juan C., Mandujano-Bueno,Andrés, Cervantes-Ortiz,Francisco, Covarrubias-Prieto,Jorge
Format:	Digital revista
Language:	English
Published:	Instituto de Investigaciones Agropecuarias, INIA 2019
Online Access:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392019000200234
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