Assessing grain yield and quality traits stability of spring wheat cultivars at different crop management levels

Abstract

Eleven spring wheat cultivars were compared in terms of the stability of their grain yield and grain quality. The cultivars' stability was evaluated separately at two different crop management levels-moderate-input management and high-input management. Three stability models were used for the two crop management levels based on a linear mixed model framework with restricted maximum likelihood. The Shukla model was the most appropriate for the evaluation of stability of tested spring wheat cultivars. The thousand-grain weight, starch content, Zeleny sedimentation value and test weight were characterized, and the stability ranking cultivars at moderate-input management level was mostly consistent with the rank of cultivars 24 for high-input management level. For grain yield, grain protein content and wet gluten content, the stability rankings were not consistent. Cultivars 'Monsun' and 'Parabola' are the most stable cultivars for grain yield in moderate-input management and high-input management, respectively. Cultivar 'Hewilla' was the stable cultivar for all quality traits at moderate-input management. Cultivar 'Arabella' was the most stable cultivar at high-input management level.

Effect of drought on wheat production in Poland between 1961 and 2019

“…For temperate regions, where drought in one season can be followed by excessive snows/rains leading to flooding like that seen in April–May 2010 (Bocianowski et al., 2019; NASA, 2010), highly adaptible cultivars are preferred. Selection of such cultivars is usually done by parallel testing in locations with light soils and frequent droughts using a yield‐oriented approach, which results in a gradual increase in crop yields, even in years affected by drought (Romagosa & Fox, 1993; Studnicki et al., 2018) – this observation is also confirmed by data presented in this paper.…”

A Framework for Financing Post-Registration Variety Testing System: A Case Study from Poland

“…During the period in question, PRVT tests were conducted by 103 entities in 2010 and 99 in 2020. The main organizations involved in testing are the COBORU Research Centers for Cultivar Testing (48), plant breeding organizations (21), agricultural advisory centers (10), and other organizations (20).…”

“…The PRVT scheme performs a regulatory function of controlling the transfers of new, domestic, and foreign varieties to agricultural practice. PRVT test results lay the groundwork for advanced scientific research in agriculture, including research on the stability and quality of spring wheat grain yields [20], genotype-environment interactions [21], the usefulness of statistical science for studies on adaptations of varieties to the environment [22], and crop yield forecasting [23]. PRVT test results are accessible to the general public, as they are released annually in national and regional publication series [4].…”

Characterization of the Powdery Mildew Resistance Gene in the Elite Wheat Cultivar Jimai 23 and Its Application in Marker-Assisted Selection

“…Spike numbers per mu (SNM) (1 ha = 15 mu), kernel numbers per spike (KNS), thousand kernel weight (TKW), yield per mu (YM) (1 ha = 15 mu), bulk density (BD), gluten index (GI), sedimentation value (SV), and stable time of dough (STD) were analyzed to evaluate comprehensive traits of Jimai 23 using Jimai 22 as control. The method for assessing agronomic and yield traits, such as SNM, KNS, YM, and BD, are described in Teich (1984) and Xu et al (2014), and grain quality traits, such as GI, SV, and STD, are described in Studnicki et al (2018) and Kuchel et al (2006). In each year, three replicates were sampled using the same procedure to confirm the phenotypic data.…”