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Book Effects of Soybean Seeding Rate on Plant to plant Variability  Yield  and Soybean Cyst Nematode

Download or read book Effects of Soybean Seeding Rate on Plant to plant Variability Yield and Soybean Cyst Nematode written by Jenna M. Moore and published by . This book was released on 2021 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over 80 million acres of soybean were planted in the United States in 2020. The cost of soybean seed has increased by 65% from 2000 to 2019, making the average cost of seed per acre $56.10 in 2019. The increasing cost of seed, along with recent studies suggesting that lower seeding rates achieve similar yields and provide a higher return on investment, has prompted interest in optimizing seeding rate. There is often a discrepancy between soybean seeding rate and final soybean stand that is attributed to both abiotic and biotic factors. In other crops, plant competition as a result of population density can result in variations in aboveground and fine-root biomass, nutrient composition, and yield. The objectives of this research were to 1) determine how soybean seeding rate impacts biomass accumulation and nutrient composition, 2) determine how seeding rate and stand evenness influences soybean yield and 3) determine when soybean is most susceptible to stand reduction. For these objectives, six on-farm trials were established in 2019 and 2020.

Book The Effect of Soybean Cyst Nematode on Soybean Growth Rate and Seed Yield Components

Download or read book The Effect of Soybean Cyst Nematode on Soybean Growth Rate and Seed Yield Components written by Tara L. Hering and published by . This book was released on 1999 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Comparison of Variable Rate Prescriptions and Optimum Seeding Rate in Soybean  Glycine Max  L   Merr  and the Impact of Soybean Seeding Rate on Combine Fuel Use and Grain Loss at Harvest

Download or read book Comparison of Variable Rate Prescriptions and Optimum Seeding Rate in Soybean Glycine Max L Merr and the Impact of Soybean Seeding Rate on Combine Fuel Use and Grain Loss at Harvest written by William Patrick Hamman and published by . This book was released on 2019 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soybean [Glycine max (L.) Merr] inputs are continually increasing, and with market values decreasing, producers are forced to find ways to maintain profitability. To address these challenges, soybean producers are interested in reducing seeding rates. However, due to within field variability, it may not be possible to lower seeding rates throughout an entire field uniformly and still achieve the same soybean yield. Variable rate seeding (VRS) of soybean allows producers to adjust seeding rates according to the variability in their fields. However, little is known regarding the accuracy of farmers’ VRS prescriptions. The objectives of this research were to 1) determine the agronomic optimum seeding rate (AOSR) and the economic optimum seeding rate (EOSR) in predetermined management zones, 2) compare the calculated AOSR and EOSR to each producer’s VRS prescription, 3) determine the impact of final plant stand on yield within management zones, 4) identify how soybean plant architecture maintains yield across multiple seeding rates, and 5) determine how plant population impacts harvest, especially combine fuel use and harvest grain loss. In 2017 and 2018, eight on-farm trials were conducted across Ohio. The trials consisted of three uniform seeding rates of 247,000, 346,000, 445,000 seeds ha-1, and a variable rate strip determined by the producers ranging from 198,000 to 445,000 seeds ha-1. The AOSR (yield maximizing) and EOSR (profit maximizing) were calculated from regression analyses for each management zone and field. Agronomic and economic optimum seeding rates ranged from 247,000 to iii 445,000 seeds ha-1 depending on the site-year. Final plant stands varied across site- years, but the calculated agronomic optimum final stand (AOFS) were similar to the recommended AOFS of 247,000 to 297,000 plants ha-1. At lower final stands, soybean yield was maintained by the plants’ ability to grow lateral branches that produced pods. In 2017 and 2018, two management zones were seeded at the calculated AOSR and one zone was seeded at the EOSR, indicating that the assigned seeding rates were not effective for these management zones. Combine fuel use and grain loss at harvest were also analyzed using regression analysis. Soybean grain yield had the largest impact on combine fuel use, increasing as grain yield increased. Plant moisture, grain moisture, branching, and stem hardness did not impact combine fuel use. When final plant populations were reduced, the pods that were closer to the ground were difficult to harvest, which led to increased harvest loss in soybean populations

Book Planting Date  Row Spacing  and Seeding Rate Effects on Soybean Yield and Yield Components

Download or read book Planting Date Row Spacing and Seeding Rate Effects on Soybean Yield and Yield Components written by Ryan Neal Clayton and published by . This book was released on 2000 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Results from the central location were variable with top yields associated with the intermediate rows in 1998 and the narrow rows in 1999. Plant population also influenced seed yield at each location. The northern location responded with high yields as plant population increased. The central location produced top yields at the medium level plant population. Treatment interactions varied by year and location. Yield components were also measured and analyzed indicating how the different treatment yields were determined. Changes in pod production affected yields the most.

Book Soybean Planting Date and Seeding Rate Effects on Stand Loss  Grain Yield  Agronomic Optimum Seeding Rate  Partial Net Economic Return  and Seed Quality

Download or read book Soybean Planting Date and Seeding Rate Effects on Stand Loss Grain Yield Agronomic Optimum Seeding Rate Partial Net Economic Return and Seed Quality written by Fabiano Colet and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Planting soybean early (late April through early May) is recommended to achieve high grain yields. However, unfavorable conditions can limit farmers’ ability to plant during the recommended period, and thus, an increase in the seeding rate may be necessary. Also, weather conditions can affect seed quality, and choosing an adequate planting date can mitigate the impacts of unfavorable weather on the seed. Thus, the objectives of this study were to (1) measure the effect of planting date and seeding rate on stand loss over the growing season, (2) measure the effect of soybean seeding rate and planting date on grain yield, (3) identify the agronomic optimum soybean seeding rate (AOSR) and the partial economic return for the lowest and highest soybean price, and (4) measure the effect of soybean planting date and seeding rate on harvested seed mass, seed germination, and seedling vigor. For these objectives, a field study was conducted for two growing seasons at two locations in Ohio: Western (WARS) and Northwest (NWARS) Agricultural Research Stations. The experimental design used was a split-plot randomized complete block with four replications. The main plot factor was four planting dates ranging from 25 April through 10 July, and the split-plot factor was five seeding rates ranging from 123,500 to 618,000 seeds ha-1. At WARS-2020, planting soybeans in April through early June had a similar grain yield (5,090-5,285 kg ha-1), while there was a reduction in grain yield when soybean was planted in late June (4,216 kg ha-1). In contrast, in WARS-2021, planting dates did not statically influence grain yield. At NWARS-2020, a small amount of rainfall during the pod-setting growth stages (R3-R4 stages) impacted and reduced the grain yield for soybeans planted in April (3,113 kg ha-1) and May (2,909 kg ha-1) when compared to soybean planted on early-June (3,595 kg ha-1). The AOSR changed among site-years. For soybean grown under normal weather conditions, the AOSR needed to be increased as planting was delayed to achieve the highest grain yield. The planting date factor also impacted soybean seed quality. The germination rate in all site-years was above 94%; however, soybean planted in early June had the lowest seedling vigor results (64 to 81%) compared to other planting dates (80 to 89%) in both locations. These findings can help growers improve grain yield, increase economic return, and produce high-quality seeds.

Book Impact of Early Season Insect Management Decisions on Yield of Soybean

Download or read book Impact of Early Season Insect Management Decisions on Yield of Soybean written by John Hartley North and published by . This book was released on 2019 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: To determine the optimal seeding rate and utilization of seed treatment combinations for maximizing soybean yield within optimal and late planting dates. Also, experiments were conducted to quantify effects of soybean stand loss and to determine optimal seeding rates at various planting dates comparing three seed treatments. Experiments were conducted to test influence of planter type and seeding rate on soybean. Soybean seed treated with at planting insecticides showed no difference in yield compared to fungicide only treated seed. Also, yields were maximized at low seeding rates where no stand loss occurred. Soybean yields benefited from where seeding rates were increased at 20% and 40% stand loss. Higher seeding rates can provide significant risk of yield and economic losses if no stand loss occurs. Optimal plantings can significantly increase soybean yields compared to later plantings. There was a significant difference in yield where fungicide only treated seed was planted compared to seed treated with a neonicotinoid. Low seeding rates maximized yield at optimal planting dates but were penalized at late planting dates. Soybean yields benefited from increased seeding rates at the later planting dates but there was no difference in any of the seed treatments compared to untreated soybean. Also, there was less variation in inter-spacing of plants at the lower seeding rate compared to higher seeding rate when using the cone planter compared to the other planter types. There was no difference in yield for soybean planted with any of the evaluated planter types. Yield differences were observed from higher seeding rate compared to low seeding rate.

Book Impact of Seeding Rate and Fertilizer Application  Placement  and Timing on Soybean and Corn Plant Growth and Grain Yield

Download or read book Impact of Seeding Rate and Fertilizer Application Placement and Timing on Soybean and Corn Plant Growth and Grain Yield written by Taylor Scott Purucker and published by . This book was released on 2019 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: Greater soybean (Glycine max L. Merr.) dry matter found in current soybean varieties and reduced seeding rates can impact nutrient uptake and grain yield potential and may influence grain yield response to fertilizer applications. Field experiments were initiated in Richville and Lansing, MI to determine the effects of seeding rate and fertilizer applications on plant growth, nutrient accumulation, grain yield, and profit. Increasing seeding rate from 123,500 to 222,400 seeds ha-1 increased grain yield 304 kg ha-1 but no statistical differences were observed above 222,400 seeds ha-1. Subsurface MESZ applications increased grain yield 241 to 261 kg ha-1 but did not interact with seeding rate. The influence of soil nutrient concentrations and environmental conditions on grain yield may take precedence over reduced interplant competition in decreased seeding rates. Weather volatility and closer synchronization of nitrogen (N) application with peak corn (Zea mays) uptake may provide opportunity for enhanced N use efficiency and grain yield with sidedress N placement closer to the plant. Field studies were initiated in Richville and Lansing, MI to assess the effects of multiple N timing and sidedress (SD) placement strategies on corn growth, grain yield, agronomy efficiency (AE) of applied N, and profit. Grain yield was not influenced by N strategy during dry soil conditions but AE increased with V4-6 N applications and coulter-inject SD N placement. Corn N response may be influenced by environmental conditions therefore weather forecasts and environmental trends should be considered when deliberating N timing and SD placement strategies.

Book Biology and Management of the Soybean Cyst Nematode

Download or read book Biology and Management of the Soybean Cyst Nematode written by Robert D. Riggs and published by American Phytopathological Society. This book was released on 1992 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: 1 History, distribution, and economics. 2 Systematics and morphology. 3 Epiphytology and life cycle. 4 Cellular responses to infection. 5 Population dynamics. 6 Genetics. 7 The race concept. 8 Nematode race identification, A look to the future. 9 Interactions with other organisms. 10 Host range. 11 Chemical control. 12 Management by cultural practices. 13 Biological control. 14 Breeding for resistance to soybean cyst nematode. 15 Cytopathological reactions of resistant soybean plants to nematode invasion. 16 Tolerance in soybean.

Book The Effects of Seeding Rate  Row Spacing  Cultivar  and Stage of Plant Development at Harvest on Yield and Quality of Soybean  Glycine Max  L   Merr   Forage

Download or read book The Effects of Seeding Rate Row Spacing Cultivar and Stage of Plant Development at Harvest on Yield and Quality of Soybean Glycine Max L Merr Forage written by Hilliard Gregory Harvey and published by . This book was released on 1980 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Working with Mycorrhizas in Forestry and Agriculture

Download or read book Working with Mycorrhizas in Forestry and Agriculture written by Mark Brundrett and published by . This book was released on 1996 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mycorrhizas are highly evoloved mutualistic associations between the soil fungi and plant roots. The partners in the association are members of the fungus kingdom and most vascular plants. This manual explains procedures used by scientists who work with mycorrhizal fungi and roots in the laboratory, nursery, or natural and managed ecosystems. Many of the techniques use readily obtainable and relatively inexpensive equipment and chemicals.

Book Impact of Planting Strategies on Soybean  Glycine Max L   Growth  Development and Yield

Download or read book Impact of Planting Strategies on Soybean Glycine Max L Growth Development and Yield written by Shane Michael Carver and published by . This book was released on 2018 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soybean seed is one of the most costly inputs for soybean producers. Research was conducted in 2016 and 2017 in Mississippi to evaluate the impact of row spacing, planting date and seeding rate on soybean yield. Additional research was conducted to determine the optimal replant seeding rate, following a sub-optimal stand of soybean, to maximize soybean yield. These data suggest an early planting date, mid-April, at a seeding rate of 296,400 seeds ha−1 , no matter the row spacing, resulted in the greatest soybean yield. No yield differences were observed for a replant seeding rate of 160,500 seeds ha−1 added to a 50% reduced stand when compared to the optimum stand treatment. Soybean yield was greater for the optimum stand treatment when compared to complete removal followed by full replant treatment, or 321,000 seeds ha−1 .

Book The Effect of Plant Population on Soybean Yield and Seed Properties

Download or read book The Effect of Plant Population on Soybean Yield and Seed Properties written by Steven H. Moore and published by . This book was released on 1988 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Identifying Optimal Management Decisions Based on Soybean Planting Date

Download or read book Identifying Optimal Management Decisions Based on Soybean Planting Date written by Thomas Bernard Siler and published by . This book was released on 2020 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: The practice of early-season soybean [Glycine Max (L.) Merr.] planting has been increasing in the northern US. However, a wide range of planting dates (PDs) are still implemented due to poor soil conditions, inclement weather, equipment restrictions, crop rotation, and operation size. Information regarding how soybean management decisions should be adjusted based on PD is lacking in Michigan and other northern US regions. This research was conducted to identify how optimal soybean seeding rate (SR), seed treatment (ST) use, and variety maturity group (MG) selection is determined by PD. Field experiments were conducted at two locations in Michigan during the 2018 and 2019 growing season. In the first experiment, soybean was planted at five SRs, between 123,553 and 518,921 seeds ha−1, with or without a ST, on four PDs (late-April to late-June). In the second experiment, six soybean MGs, between 1.0 and 3.5, were planted on four PDs (late-April to late-June). The use of a ST did not improve yield or net returns in this study. When soybean was planted before mid-May, seed yield and net returns were maximized by planting a late MG (≥ 3.0) at a SR between 187,660 and 201,451 seeds ha−1. The optimal SR between the mid-May and early-June PDs was between 220,301 and 265,305 seeds ha−1 and MG selection had less influence on seed yield compared to earlier PDs. When planting was delayed to late-June, using an early MG (≤ 2.5) resulted in the optimal yield and the optimal SR was > 330,000. Results from this study show that soybean yield, quality, and net returns can be improved by adjusting management practices based on PD.