Environment-specific selection to identify high yielding wheat genotypes and response to fungicide application

Benin, Giovani; Storck, Lindolfo; Marchioro, Volmir Sérgio; Bornhofen, Elesandro; Woyann, Leomar Guilherme; Trevizan, Diego Maciel

doi:10.1590/0034-737x201764020009

Cited by 3 publications

(2 citation statements)

References 26 publications

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“…Physiological Response to Wheat Management Benin et al, 2017). Naturally, years with considerable disease pressure will result in greater yield response to fungicide (Cruppe et al, 2017;Jaenisch et al, 2019) on cultivars susceptible to the most prevalent disease in the season (Thompson et al, 2014).…”

Section: Intensifying Management To Increase Rainfed Wheat Yieldmentioning

confidence: 99%

Physiological Basis of Genotypic Response to Management in Dryland Wheat

et al. 2020

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A great majority of dryland wheat producers are reluctant to intensify management due to the assumption that lack of water availability is the most critical factor limiting yield and thus, the response to management intensification would be limited. We conducted onfarm field experiments across three locations and two growing seasons in Kansas using 21 modern winter wheat genotypes grown under either standard (SM) or intensified management (IM) systems. The goals of this study were to (i) determine whether the SM adopted is adequate to reach achievable yields by farmers in the region and (ii) identify differences in responsiveness to IM among a range of modern genotypes. Across all sitesyears and genotypes, the IM increased yield by 0.9 Mg ha-1 , outyielding the SM system even in the lowest yielding conditions. As expected, the yield response to IM increased with the achievable yield of the environment and genotype. Across all sources of variation, the yield responsiveness to IM was related to increased biomass rather than harvest index, strongly driven by improvements in grain number (and independent of changes in grain weight), and by improvements in N uptake which resulted from greater biomass and shoot N concentration. The IM system generally also increased grain N concentration and decreased the grain N dilution effect from increased yield. Genotypes varied in their response to IM, with major response patterns resulting from the combination of response magnitude (large vs. small) and consistency (variable vs. consistent). Genotypes with high mean response and high variability in the response to IM across years could offer greater opportunities for producers to maximize yield as those genotypes showed greater yield gain from IM when conditions favored their response. For the background conditions evaluated, intensifying management could improve wheat yield in between c. 0.2 and 1.5 Mg ha-1 depending on genotype.

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Section: Intensifying Management To Increase Rainfed Wheat Yieldmentioning

confidence: 99%

Physiological Basis of Genotypic Response to Management in Dryland Wheat

et al. 2020

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“…The contribution of fungicide treatment to yield gain is usually reported in two- or three-year studies, which is a limited time span to investigate the effect of diverse environmental factors and changes in seed-borne pathogen prevalence on fungicide contribution to yield gain. A significant influence of environmental factors on fungicide contribution to yield gain was already reported in the management of wheat foliar diseases [ 40 , 41 ], but similar studies for barley pathogens are still missing. Teng [ 42 ] reported that there is a problem with models that rely solely on the quantification of visible disease symptoms without considering the variations in growing conditions that occur between seasons.…”

Section: Discussionmentioning

confidence: 99%

Co-Occurrence Patterns of Ustilago nuda and Pyrenophora graminea and Fungicide Contribution to Yield Gain in Barley under Fluctuating Climatic Conditions in Serbia

Jevtić

Župunski

Lalošević

et al. 2022

JoF

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The utilization of production systems with reduced chemical input renewed the interest in Ustilago nuda and Pyrenophora graminea. The investigations of seed fungicide treatments are more related to their efficacy than to their contribution to yield gain. The data were collected from research and development trials on fungicide efficacy against U. nuda and P. graminea conducted from 2014 to 2020 in Serbia. Partial least squares, multiple stepwise regression and best subset regression were used for statistical modeling. The total number of plants infected with U. nuda and P. graminea per plot differed significantly in the seven-year period. Shifts in the predominance of one pathogen over the other were also shown. Temperature, total rainfall and relative humidity in flowering time (p < 0.001) influenced the occurrence of both pathogens. The strongest impact on yield loss was observed for temperature in the phenological phases of leaf development (p = 0.014), temperature in flowering time (p < 0.001) and total number of plants infected with U. nuda and P. graminea per plot (p < 0.001). Our results indicated that regression models consisting of both biotic and abiotic factors were more precise in estimating regression coefficients. Neither fungicidal treatment had a stable contribution to yield gain in the seven-year period.

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