Water Cut Effects at Two Important Growth Stages on Agronomic Traits of Bread Wheat

Document Type : Research Paper

Authors

1 Crop and Horticultural Sciences Research Department, Kermanshah Agricultural and Natural Resources Research and Education Center, AREEO, Kermanshah, Iran

2 Crop and Horticultural Sciences Research Department, Lorestan Agricultural and Natural Resources Research and Education Center, AREEO, Khorramabad, Iran

3 Eslamabad-e-Gharb Agricultural Research Station, Kermanshah Agricultural and Natural Resources Research and Education Centre, AREEO, Kermanshah, Iran

10.22034/saps.2023.55342.2995

Abstract

This research was conducted to investigate the kernel yield of six bread wheat cultivars under irrigation cut conditions at two important stages of development and to determine the scope of different irrigation stages on grain yield. The experiment was conducted as randomized complete blocks design with three replicates under four different conditions across two cropping years. Portable rainout shelters were installed to protect the crop from rainfall during drought stress treatments. Combined analysis of variance across all environments indicated high significant genotypic and environmental differences for all the traits. Cultivars “Mihan” and “Sirwan” with 8321 and 7722 kg/ha had the highest and lowest kernel yield, respectively. The reduction of kernel yield was 20.27, 27.94 and 14.39% under stem elongation drought stress, terminal drought stress and terminal drought stress irrigated at milk development stage, respectively compared to normal irrigation conditions. The influence of environment on variation of the traits was twice as large as genotype and seven times as large as genotype by environment interaction. Current research has improved our knowledge of these six latest popular wheat phenological developments, which can improve water conservation through an efficient irrigation approach based on the sensitivity of the phenological growth stage and their contribution toward final yield. GGE biplot was shown to be more informative than analysis of variance for distinguishing response of cultivars in different environments. The cultivar “Mihan” for incorporating its high potential traits is recommended for future breeding programs under drought stress conditions.

Keywords