Abstract:Michigan winter wheat (Triticum aestivum L.) growers continue to adopt intensive management strategies. However, instead of broadscale implementation of an entire collection of inputs simultaneously, practitioners question which inputs may better contribute to improved production. Studies evaluated soft winter wheat plant growth, grain yield, and expected economic net return for multiple agronomic and nutrient inputsacross varying production intensities. Field trials established in Richville and Lansing, MI, d… Show more
“…The studies above provided insights into individual management practices to improve wheat grain yield. Others attempted to quantify wheat yield response to intensified management, combining the prophylactic use of a number of inputs to minimize yield gaps ( Mohamed et al, 1990 ; Jaenisch et al, 2019 ; Quinn and Steinke, 2019 ; de Oliveira Silva et al, 2020b ; Herrera et al, 2020 ; Roth et al, 2021 ; Steinke et al, 2021 ). However, with few exceptions ( de Oliveira Silva et al, 2020b , 2021 ), these efforts mostly overlooked the mechanisms behind the yield responses and simply quantified the magnitude of yield improvements.…”
Appropriate genotype selection and management can impact wheat (Triticum aestivum L.) yield in dryland environments, but their impact on yield components and their role in yield modulation are not well understood. Our objectives were to evaluate the yield response of commercial winter wheat genotypes to different management practices reflecting a stepwise increase in management intensity (including a reduction in crop density under high input), and to quantify how the different yield components modulate wheat yield. A factorial experiment evaluated six management (M) intensities [“farmer practice” (FP), “enhanced fertility” (EF), “ecological intensification” (EI), “increased foliar protection” (IFP), “water-limited yield” (Yw), and “increased plant productivity” (IPP)] and four winter wheat genotypes (G) in four Kansas environments (E). Average grain yield was 4.9 Mg ha–1 and ranged from 2.0 to 7.4 Mg ha–1, with significant two-way interactions (E × M and E × G). The EF usually maximized yields in dry environments, while EI, which consisted of EF plus one fungicide application, maximized yields in environments with greater water availability. Across all sources of variation, kernels m–2 and aboveground biomass were the strongest modulators of yield as compared to kernel weight and harvest index, while spikes m–2 and kernels spike–1 modulated yields at a similar magnitude. Foliar fungicides improved yield through increased green canopy cover duration and greater radiation intercepted during grain filling. When crop density was reduced from 2.7 to 1.1 million plants per hectare in an otherwise high-input system, plants produced more productive tillers (with genotype-specific response); however, reduced green canopy cover at anthesis and reduced cumulative solar radiation intercepted during grain filling limited wheat yield—although large differences in canopy cover or intercepted radiation were needed to cause modest changes in yield. Treatments more intensive than EI were not warranted as EF or EI maximized yields at all environments, and practices that promote biomass and kernels m–2 are to be targeted for future increases in wheat yield.
“…The studies above provided insights into individual management practices to improve wheat grain yield. Others attempted to quantify wheat yield response to intensified management, combining the prophylactic use of a number of inputs to minimize yield gaps ( Mohamed et al, 1990 ; Jaenisch et al, 2019 ; Quinn and Steinke, 2019 ; de Oliveira Silva et al, 2020b ; Herrera et al, 2020 ; Roth et al, 2021 ; Steinke et al, 2021 ). However, with few exceptions ( de Oliveira Silva et al, 2020b , 2021 ), these efforts mostly overlooked the mechanisms behind the yield responses and simply quantified the magnitude of yield improvements.…”
Appropriate genotype selection and management can impact wheat (Triticum aestivum L.) yield in dryland environments, but their impact on yield components and their role in yield modulation are not well understood. Our objectives were to evaluate the yield response of commercial winter wheat genotypes to different management practices reflecting a stepwise increase in management intensity (including a reduction in crop density under high input), and to quantify how the different yield components modulate wheat yield. A factorial experiment evaluated six management (M) intensities [“farmer practice” (FP), “enhanced fertility” (EF), “ecological intensification” (EI), “increased foliar protection” (IFP), “water-limited yield” (Yw), and “increased plant productivity” (IPP)] and four winter wheat genotypes (G) in four Kansas environments (E). Average grain yield was 4.9 Mg ha–1 and ranged from 2.0 to 7.4 Mg ha–1, with significant two-way interactions (E × M and E × G). The EF usually maximized yields in dry environments, while EI, which consisted of EF plus one fungicide application, maximized yields in environments with greater water availability. Across all sources of variation, kernels m–2 and aboveground biomass were the strongest modulators of yield as compared to kernel weight and harvest index, while spikes m–2 and kernels spike–1 modulated yields at a similar magnitude. Foliar fungicides improved yield through increased green canopy cover duration and greater radiation intercepted during grain filling. When crop density was reduced from 2.7 to 1.1 million plants per hectare in an otherwise high-input system, plants produced more productive tillers (with genotype-specific response); however, reduced green canopy cover at anthesis and reduced cumulative solar radiation intercepted during grain filling limited wheat yield—although large differences in canopy cover or intercepted radiation were needed to cause modest changes in yield. Treatments more intensive than EI were not warranted as EF or EI maximized yields at all environments, and practices that promote biomass and kernels m–2 are to be targeted for future increases in wheat yield.
“…Although recent research on S fertilization of wheat is lacking, one study in Kansas found that the addition of S fertilizer increased winter wheat's grain yield by 0.3 Mg ha −1 across 2 yr within a no‐tillage system (Jaenisch et al., 2019). In Michigan, starter fertilizer containing N, P, S, and Zn increased the yield of soft red and white winter wheat compared with an untreated control at all four site‐years of the study (Steinke et al., 2021). However, the individual effects of N, P, S, and Zn could not be separated, as the starter fertilizer contained all four elements.…”
Some farmers regard wheat (Triticum aestivum L.) as a low-input crop, whereas other farmers intensively manage wheat with many inputs, such as multiple foliar fungicide applications, S fertilizer, and split applications of N. This research aimed to identify the management practices that improve the yield and profitability of wheat grain and straw. An incomplete factorial omission trial was established at two locations in Ohio [the Western Agricultural Research Station (WARS) and Northwest Agricultural Research Station (NWARS)] during the 2020 and 2021 growing seasons. The tested management practices included a high seeding rate, a high N rate, a split application of N, a spring S application, a fungicide application at Feekes 9, and a fungicide application at Feekes 10.5.1. The treatments were intensive management (IM) (all tested management practices), traditional management (TM) (none of the tested management practices), and treatments consisting of the individual addition of each practice to TM or removal from the IM system. The IM increased grain yield at three of the four site-years by an average of 0.83 Mg ha −1 but did not increase the partial economic return at any site-year during this study. Individual treatment effects were rare and inconsistent. These results suggest that although IM can improve grain yield, it failed to do so economically at the grain prices and input costs used in this study. Farmers should use crop scouting techniques and disease forecasting tools to identify wheat fields that are likely to benefit from additional inputs such as fertilizer or foliar fungicide.
INTRODUCTIONIn Ohio, winter wheat (Triticum aestivum L.) is the third most planted annual row crop by area after soybean [Glycine max (L.) Merrill] and corn (Zea mays L.
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