The yield on US 30 Year Bond Yield eased to 4.96% on July 15, 2025, marking a 0.03 percentage point decrease from the previous session. Over the past month, the yield has fallen by 0.02 points, though it remains 0.58 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. United States 30 Year Bond Yield - values, historical data, forecasts and news - updated on July of 2025.

As of December 30, 2024, the major economy with the highest yield on 10-year government bonds was Turkey, with a yield of ***** percent. This is due to the risks investors take when investing in Turkey, notably due to high inflation rates potentially eradicating any profits made when using a foreign currency to investing in securities denominated in Turkish lira. Of the major developed economies, United States had one the highest yield on 10-year government bonds at this time with **** percent, while Switzerland had the lowest at **** percent. How does inflation influence the yields of government bonds? Inflation reduces purchasing power over time. Due to this, investors seek higher returns to offset the anticipated decrease in purchasing power resulting from rapid price rises. In countries with high inflation, government bond yields often incorporate investor expectations and risk premiums, resulting in comparatively higher rates offered by these bonds. Why are government bond rates significant? Government bond rates are an important indicator of financial markets, serving as a benchmark for borrowing costs, interest rates, and investor sentiment. They affect the cost of government borrowing, influence the price of various financial instruments, and serve as a reflection of expectations regarding inflation and economic growth. For instance, in financial analysis and investing, people often use the 10-year U.S. government bond rates as a proxy for the longer-term risk-free rate.

The yield on Japan 10Y Bond Yield rose to 1.58% on July 14, 2025, marking a 0.07 percentage point increase from the previous session. Over the past month, the yield has edged up by 0.12 points and is 0.53 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Japan 10 Year Government Bond Yield - values, historical data, forecasts and news - updated on July of 2025.

At the end of 2024, the yield on the 10-year U.S. Treasury bond was **** percent. Despite the increase in recent years, the highest yields could be observed in the early 1990s. What affects bond prices? The factors that play a big role in valuation and interest in government bonds are interest rate and inflation. If inflation is expected to be high, investors will demand a higher return on bonds. Country credit ratings indicate how stable the economy is and thus also influence the government bond prices. Risk and bonds Finally, when investors are worried about the bond issuer’s ability to pay at the end of the term, they demand a higher interest rate. For the U.S. Treasury, the vast majority of investors consider the investment to be perfectly safe. Ten-year government bonds from other countries show that countries seen as more risky have a higher bond return. On the other hand, countries in which investors do not expect economic growth have a lower yield.

The yield on South Korea 10Y Bond Yield rose to 2.88% on July 14, 2025, marking a 0.05 percentage point increase from the previous session. Over the past month, the yield has edged up by 0 points, though it remains 0.30 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. South Korea 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on July of 2025.

The yield on France 10Y Bond Yield rose to 3.43% on July 14, 2025, marking a 0.02 percentage point increase from the previous session. Over the past month, the yield has edged up by 0.21 points and is 0.32 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. France 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on July of 2025.

Graph and download economic data for Market Yield on U.S. Treasury Securities at 3-Year Constant Maturity, Quoted on an Investment Basis (DGS3) from 1962-01-02 to 2025-07-14 about 3-year, maturity, Treasury, interest rate, interest, rate, and USA.

The yield on Mexico 10Y Bond Yield eased to 9.23% on July 11, 2025, marking a 0.02 percentage point decrease from the previous session. Over the past month, the yield has edged up by 0.02 points, though it remains 0.47 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Mexico 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on July of 2025.

The yield on US 20 Year Bond Yield rose to 4.97% on July 14, 2025, marking a 0 percentage point increase from the previous session. Over the past month, the yield has edged up by 0.03 points and is 0.41 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. This dataset includes a chart with historical data for US 20Y.

In December 2024, the yield on a 10-year U.S. Treasury note was **** percent, forecasted to decrease to reach **** percent by August 2025. Treasury securities are debt instruments used by the government to finance the national debt. Who owns treasury notes? Because the U.S. treasury notes are generally assumed to be a risk-free investment, they are often used by large financial institutions as collateral. Because of this, billions of dollars in treasury securities are traded daily. Other countries also hold U.S. treasury securities, as do U.S. households. Investors and institutions accept the relatively low interest rate because the U.S. Treasury guarantees the investment. Looking into the future Because these notes are so commonly traded, their interest rate also serves as a signal about the market’s expectations of future growth. When markets expect the economy to grow, forecasts for treasury notes will reflect that in a higher interest rate. In fact, one harbinger of recession is an inverted yield curve, when the return on 3-month treasury bills is higher than the ten-year rate. While this does not always lead to a recession, it certainly signals pessimism from financial markets.

The yield on Spain 10Y Bond Yield rose to 3.34% on July 14, 2025, marking a 0.01 percentage point increase from the previous session. Over the past month, the yield has edged up by 0.21 points and is 0.11 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Spain 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on July of 2025.

The yield on US 2 Year Note Bond Yield rose to 3.91% on July 14, 2025, marking a 0 percentage point increase from the previous session. Over the past month, the yield has fallen by 0.07 points and is 0.56 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. US 2 Year Treasury Bond Note Yield - values, historical data, forecasts and news - updated on July of 2025.

The average yield for long-term government bond in Bulgaria reached almost **** percent as in October 2024. Bond yields were as low as **** percent in 2021, but started increasing following the interest rates hikes implemented by central banks in the last three years.

In January 2020, prior to the onset of the global coronavirus (COVID-19) pandemic, three of the seven largest economies by GDP had negative yields for two-year government bonds (Japan, Germany and France). With the onset of the pandemic, two-year bond yields in these countries actually rose slightly - in contrast to the other major economies, where yields fell over this period. As of December 2024, yields for two-year government bonds exhibited fluctuations across all countries. Notably, Japan showed a slight upward trend, while China experienced a modest decline.Negative yields assume that investors lack confidence in economic growth, meaning many investments (such as stocks) may lose value. Therefore, it is preferable to take a small loss on government debt that carries almost no risk to the investor, than risk a larger loss on other investments. As both the yen and euro are considered very safe assets, Japanese, German and French bonds were already being held by many investors prior to the pandemic as a hedge against economic downturn. Therefore, with the announcement of fiscal responses to the pandemic by many governments around March 2020, the value of these assets rose as confidence increased (slightly) that the worst case may be avoided. At the same time, yields on bonds with a higher return fell, as investors sought out investments with a higher return that were still considered safe.

This dataset consists of growth and yield data for each season when sorghum [Sorghum bicolor (L.)] was grown at the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU) research weather station, Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL). In the 1988, 1991, 1993, 1997, 1998, 1999, 2003 through 2007, 2014, and 2015 seasons (13 years), sorghum was grown on from one to four large, precision weighing lysimeters, each in the center of a 4.44 ha square field also planted to sorghum. The square fields were themselves arranged in a larger square with four fields in four adjacent quadrants of the larger square. Fields and lysimeters within each field were thus designated northeast (NE), southeast (SE), northwest (NW), and southwest (SW). Sorghum was grown on different combinations of fields in different years. When irrigated, irrigation was by linear move sprinkler system years before 2014, and by both sprinkler and subsurface drip irrigation in 2014 and 2015. Irrigation protocols described as full were managed to replenish soil water used by the crop on a weekly or more frequent basis as determined by soil profile water content readings made with a neutron probe to 2.4-m depth in the field. Irrigation protocols described as deficit typically involved irrigation at rates established as percentages of full irrigation ranging from 33% to 75% depending on the year. The growth and yield data include plant population density, height, plant row width, leaf area index, growth stage, total above-ground biomass, leaf and stem biomass, head mass (when present), seed mass, and final yield. Data are from replicate samples in the field and non-destructive (except for final harvest) measurements on the weighing lysimeters. In most cases yield data are available from both manual sampling on replicate plots in each field and from machine harvest. Machine harvest yields are commonly smaller than hand harvest yields due to combine losses. These datasets originate from research aimed at determining crop water use (ET), crop coefficients for use in ET-based irrigation scheduling based on a reference ET, crop growth, yield, harvest index, and crop water productivity as affected by irrigation method, timing, amount (full or some degree of deficit), agronomic practices, cultivar, and weather. Prior publications have focused on sorghum ET, crop coefficients, crop water productivity, and simulation modeling of crop water use, growth, and yield. Crop coefficients have been used by ET networks. The data have utility for testing simulation models of crop ET, growth, and yield and have been used for testing, and calibrating models of ET that use satellite and/or weather data. See the README for descriptions of each data file.

This dataset consists of growth and yield data for each season when soybean [Glycine max (L.) Merr.] was grown for seed at the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU) research weather station, Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL). In the 1994, 2003, 2004, and 2010 seasons, soybean was grown on two large, precision weighing lysimeters, each in the center of a 4.44 ha square field. In 2019, soybean was grown on four large, precision weighing lysimeters and their surrounding 4.4 ha fields. The square fields are themselves arranged in a larger square with four fields in four adjacent quadrants of the larger square. Fields and lysimeters within each field are thus designated northeast (NE), southeast (SE), northwest (NW), and southwest (SW). Soybean was grown on different combinations of fields in different years. Irrigation was by linear move sprinkler system in 1995, 2003, 2004, and 2010 although in 2010 only one irrigation was applied to establish the crop after which it was grown as a dryland crop. Irrigation protocols described as full were managed to replenish soil water used by the crop on a weekly or more frequent basis as determined by soil profile water content readings made with a neutron probe to 2.4-m depth in the field. Irrigation protocols described as deficit typically involved irrigations to establish the crop early in the season, followed by reduced or absent irrigations later in the season (typically in the later winter and spring). The growth and yield data include plant population density, height, plant row width, leaf area index, growth stage, total above-ground biomass, leaf and stem biomass, head mass (when present), kernel or seed number, and final yield. Data are from replicate samples in the field and non-destructive (except for final harvest) measurements on the weighing lysimeters. In most cases yield data are available from both manual sampling on replicate plots in each field and from machine harvest. Machine harvest yields are commonly smaller than hand harvest yields due to combine losses. These datasets originate from research aimed at determining crop water use (ET), crop coefficients for use in ET-based irrigation scheduling based on a reference ET, crop growth, yield, harvest index, and crop water productivity as affected by irrigation method, timing, amount (full or some degree of deficit), agronomic practices, cultivar, and weather. Prior publications have focused on soybean ET, crop coefficients, and crop water productivity. Crop coefficients have been used by ET networks. The data have utility for testing simulation models of crop ET, growth, and yield and have been used for testing, and calibrating models of ET that use satellite and/or weather data. See the README for descriptions of each data file. Resources in this dataset:Resource Title: 1995 Bushland, TX, west soybean growth and yield data. File Name: 1995 West Soybean_Growth_and_Yield-V2.xlsxResource Title: 2003 Bushland, TX, east soybean growth and yield data. File Name: 2003 East Soybean_Growth_and_Yield-V2.xlsxResource Title: 2004 Bushland, TX, east soybean growth and yield data. File Name: 2004 East Soybean_Growth-and_Yield-V2.xlsxResource Title: 2019 Bushland, TX, east soybean growth and yield data. File Name: 2019 East Soybean_Growth_and_Yield-V2.xlsxResource Title: 2019 Bushland, TX, west soybean growth and yield data. File Name: 2019 West Soybean_Growth_and_Yield-V2.xlsxResource Title: 2010 Bushland, TX, west soybean growth and yield data. File Name: 2010 West_Soybean_Growth_and_Yield-V2.xlsxResource Title: README. File Name: README_Soybean_Growth_and_Yield.txt

The yield on Ireland 10Y Bond Yield eased to 3.00% on July 14, 2025, marking a 0 percentage point decrease from the previous session. Over the past month, the yield has edged up by 0.16 points and is 0.15 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Ireland 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on July of 2025.

This dataset consists of growth and yield data for each year when maize (Zea mays, L., also known as corn in the United States) was grown for grain at the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU) research weather station, Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL). Maize was grown for grain on four large, precision weighing lysimeters, each in the center of a 4.44 ha square field. The four square fields are themselves arranged in a larger square with the fields in four adjacent quadrants of the larger square. Fields and lysimeters within each field are thus designated northeast (NE), southeast (SE), northwest (NW), and southwest (SW). Irrigation was by linear move sprinkler system in 1989, 1990, and 1994. In 2013, 2016, and 2018, two lysimeters and their respective fields (NE and SE) were irrigated using subsurface drip irrigation (SDI), and two lysimeters and their respective fields (NW and SW) were irrigated by a linear move sprinkler system. Irrigations were managed to replenish soil water used by the crop on a weekly or more frequent basis as determined by soil profile water content readings made with a neutron probe to 2.4-m depth in the field. The growth and yield data include plant population density, height, plant row width, leaf area index, growth stage, total above-ground biomass, leaf and stem biomass, ear mass (when present), kernel number, and final yield. Data are from replicate samples in the field and non-destructive (except for final harvest) measurements on the weighing lysimeters. In most cases yield data are available from both manual sampling on replicate plots in each field and from machine harvest. These datasets originate from research aimed at determining crop water use (ET), crop coefficients for use in ET-based irrigation scheduling based on a reference ET, crop growth, yield, harvest index, and crop water productivity as affected by irrigation method, timing, amount (full or some degree of deficit), agronomic practices, cultivar, and weather. Prior publications have focused on maize ET, crop coefficients, and crop water productivity. Crop coefficients have been used by ET networks. The data have utility for testing simulation models of crop ET, growth, and yield and have been used by the Agricultural Model Intercomparison and Improvement Project (AgMIP), by OPENET, and by many others for testing, and calibrating models of ET that use satellite and/or weather data.Resources in this dataset:Resource Title: 1989 Bushland, TX, east maize growth and yield data. File Name: 1989_East_Maize_Growth_and_Yield(ADC).xlsx. Resource Description: This dataset consists of growth and yield data for one of the seasons when maize was grown for grain at the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU) research weather station, Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL). Maize was grown for grain on four large, precision weighing lysimeters, each in the center of a 4.44 ha square field. The four square fields are themselves arranged in a larger square with the fields in four adjacent quadrants of the larger square. Fields and lysimeters within each field are thus designated northeast (NE), southeast (SE), northwest (NW), and southwest (SW). Irrigation was by linear move sprinkler system in 1989, 1990, and 1994. In 2013, 2016, and 2018, two lysimeters and their respective fields (NE and SE) were irrigated using subsurface drip irrigation (SDI), and two lysimeters and their respective fields (NW and SW) were irrigated by a linear move sprinkler system. Irrigations were managed to replenish soil water used by the crop on a weekly or more frequent basis as determined by soil profile water content readings made with a neutron probe to 2.4-m depth in the field. The growth and yield data include plant population density, height, plant row width, leaf area index, growth stage, total above-ground biomass, leaf and stem biomass, ear mass (when present), kernel number, and final yield. Data are from replicate samples in the field and non-destructive (except for final harvest) measurements on the weighing lysimeters. In most cases yield data are available from both manual sampling on replicate plots in each field and from machine harvest. There are separate spreadsheets for the east (NE and SE) lysimeters and fields, and for the west (NW and SW) lysimeters and fields. The spreadsheets contain tabs for data and corresponding tabs for data dictionaries. Typically there are separate data tabs and corresponding dictionaries for plant growth during the season, crop growth stage, plant population, manual harvest from replicate plots in each field and from lysimeter surfaces, and machine (combine) harvest, An Introduction tab explains the tab names and contents, lists the authors, explains conventions, and lists some relevant references.Resource Title: 1990 Bushland, TX, east maize growth and yield data. File Name: 1990_East_Maize_Growth_and_Yield(ADC).xlsx. Resource Description: As above for 1990 East.Resource Title: 1994 Bushland, TX, east maize growth and yield data. File Name: 1994_East_Maize_Growth_and_Yield(ADC).xlsx. Resource Description: As above for 1994 East.Resource Title: 1994 Bushland, TX, west maize growth and yield data. File Name: 1994_West_Maize_Growth_and_Yield(ADC).xlsx. Resource Description: As above for 1994 West.Resource Title: 2013 Bushland, TX, west maize growth and yield data. File Name: 2013_West_Maize_Growth_and_Yield(ADC).xlsx. Resource Description: As above for 2013 West.Resource Title: 2016 Bushland, TX, east maize growth and yield data. File Name: 2016_East_Maize_Growth_and_Yield(ADC).xlsx. Resource Description: As above for 2016 East.Resource Title: 2016 Bushland, TX, west maize growth and yield data. File Name: 2016_West_Maize_Growth_and_Yield(ADC).xlsx. Resource Description: As above for 2016 West.Resource Title: 2018 Bushland, TX, west maize growth and yield data. File Name: 2018_West_Maize_Growth_and_Yield(ADC).xlsx. Resource Description: As above for 2018 West.Resource Title: 2013 Bushland, TX, east maize growth and yield data. File Name: 2013_East_Maize_Growth_and_Yield(ADC).xlsx. Resource Description: As above for 2013 East.Resource Title: 2018 Bushland, TX, east maize growth and yield data. File Name: 2018_East_Maize_Growth_and_Yield(ADC).xlsx. Resource Description: As above for 2018 East.

Fixed Income Asset Management Market Outlook

The global fixed income asset management market size was valued at approximately USD 5.7 trillion in 2023 and is projected to grow to USD 9.3 trillion by 2032, expanding at a compound annual growth rate (CAGR) of 5.5% over the forecast period. The growth of this market is primarily driven by the increasing demand for stable and predictable returns in an uncertain economic environment.

One of the significant growth factors for the fixed income asset management market is the aging global population. As more individuals approach retirement age, the demand for fixed income investments that offer stable returns and lower risk compared to equities is increasing. Retirees and near-retirees often prioritize capital preservation and income generation, which fixed income products are well-suited to provide. This demographic trend is particularly prominent in developed countries but is also becoming more relevant in emerging markets as their populations age and accumulate wealth.

Another crucial growth driver is the rising interest rate environment. As central banks around the world shift towards tightening monetary policies to combat inflation, interest rates are gradually increasing. Higher interest rates make newly issued bonds more attractive to investors due to their higher yields. This situation creates opportunities for fixed income asset managers to attract new investments and cater to clients looking for better returns in a higher interest rate environment. Additionally, higher yields can enhance the overall performance of fixed income portfolios, making them more appealing to both institutional and retail investors.

The increasing complexity and diversity of fixed income products is also contributing to market growth. The fixed income market has evolved to include a wide range of instruments beyond traditional government and corporate bonds. Products such as mortgage-backed securities, municipal bonds, and various structured financial instruments offer different risk-return profiles and investment opportunities. This diversification allows asset managers to tailor portfolios to meet specific client needs and preferences, thereby attracting a broader investor base. The development of innovative fixed income products continues to drive growth in this market by expanding the range of investment options available.

In the realm of private equity, the PE Fund Management Fee plays a crucial role in shaping the investment landscape. These fees are typically charged by fund managers to cover the operational costs of managing the fund, including research, administration, and portfolio management. The structure of these fees can vary, often comprising a management fee based on the committed capital and a performance fee tied to the fund's returns. Understanding the intricacies of these fees is essential for investors, as they can significantly impact the net returns on their investments. As private equity continues to grow as an asset class, the transparency and justification of management fees are becoming increasingly important to investors seeking to maximize their returns while ensuring alignment of interests with fund managers.

From a regional perspective, North America remains the largest market for fixed income asset management, driven by the presence of a well-established financial industry, a large pool of institutional investors, and a high level of individual wealth. However, the Asia Pacific region is expected to exhibit the highest growth rate during the forecast period. Rapid economic growth, increasing financial literacy, and a burgeoning middle class are driving demand for fixed income investments in countries such as China and India. Additionally, regulatory reforms aimed at developing local bond markets and attracting foreign investment are further propelling the market in this region.

Asset Type Analysis

The fixed income asset management market can be categorized by asset type into government bonds, corporate bonds, municipal bonds, mortgage-backed securities, and others. Each of these asset types offers unique characteristics and appeals to different segments of investors, contributing to the overall growth and diversification of the market.

Government bonds are one of the most significant segments in the fixed income market. Issued by national governments, these bonds are considered low-risk investments due to the backing of the issuing g

This dataset consists of growth and yield data for each season when winter wheat (Triticum aestivum L.) was grown for grain at the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU) research weather station, Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL). In each season, winter wheat was grown for grain on two large, precision weighing lysimeters, each in the center of a 4.44 ha square field. The square fields are themselves arranged in a larger square with the fields in four adjacent quadrants of the larger square. Fields and lysimeters within each field are thus designated northeast (NE), southeast (SE), northwest (NW), and southwest (SW). Irrigation was by linear move sprinkler system. Irrigation protocols described as full were managed to replenish soil water used by the crop on a weekly or more frequent basis as determined by soil profile water content readings made with a neutron probe to 2.4-m depth in the field. Irrigation protocols described as deficit typically involved irrigations to establish the crop early in the season, followed by reduced or absent irrigations later in the season (typically in the later winter and spring). The growth and yield data include plant population density, height (except in 1989-1990), plant row width, leaf area index, growth stage, total above-ground biomass, leaf and stem biomass, head mass (when present), kernel number, and final yield. Data are from replicate samples in the field and non-destructive (except for final harvest) measurements on the weighing lysimeters. In most cases yield data are available from both manual sampling on replicate plots in each field and from machine harvest. These datasets originate from research aimed at determining crop water use (ET), crop coefficients for use in ET-based irrigation scheduling based on a reference ET, crop growth, yield, harvest index, and crop water productivity as affected by irrigation method, timing, amount (full or some degree of deficit), agronomic practices, cultivar, and weather. Prior publications have focused on winter wheat ET, crop coefficients, and crop water productivity. Crop coefficients have been used by ET networks. The data have utility for testing simulation models of crop ET, growth, and yield and have been used by the Agricultural Model Intercomparison and Improvement Project (AgMIP) and by many others for testing, and calibrating models of ET that use satellite and/or weather data. Resources in this dataset:Resource Title: 1989-1990 Bushland, TX, west winter wheat growth and yield data. File Name: 1989-1990_West_Wheat_Growth_and_Yield.xlsxResource Description: This dataset consists of growth and yield data the 1989-1990 winter wheat (Triticum aestivum L.) season at the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU) research weather station, Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL). Winter wheat was grown on two large, precision weighing lysimeters, each in the center of a 4.44 ha square field. The two square fields were themselves arranged with one directly north of and contiguous with the other. Fields and lysimeters within each field were designated northwest (NW), and southwest (SW). Irrigation was by linear move sprinkler system. Irrigations described as full were managed to replenish soil water used by the crop on a weekly or more frequent basis as determined by soil profile water content readings made with a neutron probe to 2.4-m depth in the field. Irrigation described as deficit typically involved irrigation to establish the crop in the autumn followed by reduced or no irrigation later in the late winter or spring. The growth and yield data include plant height (except in 1989-1990), leaf area index, growth stage, total above-ground biomass, leaf and stem biomass, hea biomass, and final yield. Data are from replicate samples in the field and non-destructive (except for final harvest) measurements on the weighing lysimeters. In most cases yield data are available from both manual sampling on replicate plots in each field and from machine harvest. There is a single spreadsheet for the west (NW and SW) lysimeters and fields. The spreadsheets contain tabs for data and corresponding tabs for data dictionaries. Typically, there are separate data tabs and corresponding dictionaries for plant growth during the season, crop growth stage, plant population, manual harvest from replicate plots in each field and from lysimeter surfaces, and machine (combine) harvest, An Introduction tab explains the tab names and contents, lists the authors, explains conventions, and lists some relevant references.Resource Title: 1991-1992 Bushland, TX, east winter wheat growth and yield data. File Name: 1991-1992_East_Wheat_Growth_and_Yield.xlsxResource Description: This dataset consists of growth and yield data the 1991-1992 winter wheat (Triticum aestivum L.) season at the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU) research weather station, Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL). Winter wheat was grown on two large, precision weighing lysimeters, each in the center of a 4.44 ha square field. The two square fields were themselves arranged with one directly north of and contiguous with the other. Fields and lysimeters within each field were designated northeast (NE), and southeast (SE). Irrigation was by linear move sprinkler system. Irrigations described as full were managed to replenish soil water used by the crop on a weekly or more frequent basis as determined by soil profile water content readings made with a neutron probe to 2.4-m depth in the field. Irrigation described as deficit typically involved irrigation to establish the crop in the autumn followed by reduced or no irrigation later in the late winter or spring. The growth and yield data include plant height, leaf area index, growth stage, total above-ground biomass, leaf and stem biomass, hea biomass, and final yield. Data are from replicate samples in the field and non-destructive (except for final harvest) measurements on the weighing lysimeters. In most cases yield data are available from both manual sampling on replicate plots in each field and from machine harvest. There is a single spreadsheet for the east (NE and SE) lysimeters and fields. The spreadsheets contain tabs for data and corresponding tabs for data dictionaries. Typically, there are separate data tabs and corresponding dictionaries for plant growth during the season, crop growth stage, plant population, manual harvest from replicate plots in each field and from lysimeter surfaces, and machine (combine) harvest, An Introduction tab explains the tab names and contents, lists the authors, explains conventions, and lists some relevant references.Resource Title: 1992-1993 Bushland, TX, west winter wheat growth and yield data. File Name: 1992-1993_W_Wheat_Growth_and_Yield.xlsxResource Description: This dataset consists of growth and yield data the 1992-1993 winter wheat (Triticum aestivum L.) season at the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU) research weather station, Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL). Winter wheat was grown on two large, precision weighing lysimeters, each in the center of a 4.44 ha square field. The two square fields were themselves arranged with one directly north of and contiguous with the other. Fields and lysimeters within each field were designated northwest (NW), and southwest (SW). Irrigation was by linear move sprinkler system. Irrigations described as full were managed to replenish soil water used by the crop on a weekly or more frequent basis as determined by soil profile water content readings made with a neutron probe to 2.4-m depth in the field. Irrigation described as deficit typically involved irrigation to establish the crop in the autumn followed by reduced or no irrigation later in the late winter or spring. The growth and yield data include plant height, leaf area index, growth stage, total above-ground biomass, leaf and stem biomass, hea biomass, and final yield. Data are from replicate samples in the field and non-destructive (except for final harvest) measurements on the weighing lysimeters. In most cases yield data are available from both manual sampling on replicate plots in each field and from machine harvest. There is a single spreadsheet for the west (NW and SW) lysimeters and fields. The spreadsheets contain tabs for data and corresponding tabs for data dictionaries. Typically, there are separate data tabs and corresponding dictionaries for plant growth during the season, crop growth stage, plant population, manual harvest from replicate plots in each field and from lysimeter surfaces, and machine (combine) harvest, An Introduction tab explains the tab names and contents, lists the authors, explains conventions, and lists some relevant references.