Recipient Organization
UNIVERSITY OF GEORGIA
200 D.W. BROOKS DR
ATHENS,GA 30602-5016
Performing Department
(N/A)
Non Technical Summary
Cotton is the number one fiber crop in the world, with fiber being the primary source of income for growers. However, seed is also a valuable co-product of fiber production used for cattle feed or food processing purposes. Importantly, oil is the most economically valuable component of seed. Its content in cotton seed can be altered by cultivar selection and production environment, which could affect economic returns for the producer and may influence seedling vigor for the subsequently planted crop. However, the extent to which cultivar selection and production environment contribute to the total value of the crop (fiber, oil, and protein) and seedling vigor of the subsequently planted crop has received virtually no attention in the peer reviewed literature. The research proposed here will address this glaring knowledge gap by using a combination of small-plot and large-scale on-farm research to specifically address the effects of cultivar selection and production environment on fiber yields, seed component yields, and vigor and yield of subsequently planted crop. This will maximize crop value for the producer (high oil yields without fiber yield penalties) while simultaneously ensuring that seed produced in these high-yield environments exhibit acceptable vigor and productivity for cotton growers.
Animal Health Component
100%
Research Effort Categories
Basic
(N/A)
Applied
100%
Developmental
(N/A)
Goals / Objectives
The overarching goal of the currently proposed research is to define the contributions of production environment and genotype to fiber yield, seed component yields, and seedling vigor and crop performance in subsequent growing seasons.Specific objectives aimed at meeting this goal are as follows:Objective 1: Characterize fiber yields, seed characteristics, and seed oil and protein yield in response to water availability and nitrogen application rate. The research team will quantify fiber yields, seed characteristics, and seed oil and protein yield for cotton grown under two different irrigation treatments and three different nitrogen application rates in small-plot research trials conducted at an irrigation research facility in southern Georgia. Other than seed costs, water and nitrogen represent the two most important and costliest inputs for growers. The findings from this work will provide foundational information on how these key inputs alter not only fiber yields but also seed oil and protein yields, thereby improving the overall value of the crop without penalizing fiber yields.Objective 2: Define genotypic and environmental contributions to fiber, oil, and protein yields and provide quantitative functional relationships between the aforementioned yields using data obtained from large-scale, on-farm cotton variety trials. The team will utilize one of the most extensive on-farm cotton variety trial programs in the country, with approximately 12 of the top cotton varieties for Georgia evaluated in more than 20 yield environments across the state. Seedcotton yield will be evaluated in the field; samples will be ginned at the University of Georgia MicroGin to obtain an estimate of lint yield, and seed samples will be collected from each of these trials and analyzed for oil and protein yield. This will be the first study to utilize real-world, on-farm variety trials to define genotypic and environmental contributions to fiber, oil, and protein yield in production fields. The functional relationships developed from this objective will define lint yield ranges at which oil yields can be maximized and vice versa. Objective 3: Identify fiber and seed component yields associated with production of high quality seed that produce vigorous early season growth in cotton. Seed samples collected while addressing Objectives 1 and 2 and representing a broad range of fiber yields, oil yields and seed characteristics (seed mass, oil, and protein content) will be grown under field conditions, and seedling vigor will be assessed by evaluating stand establishment rates and multiple indicators of plant and whole-canopy growth throughout the season. Additionally, yield responses (oil, protein, and fiber) will be assessed to determine when differences in early-season vigor translate into differences in crop productivity.
Project Methods
For objective 1, a two-year field experiment will be conducted near Camilla, Georgia, where there will be two irrigation treatments (Well-Watered and Dryland) and three nitrogen application rates (0, 135, and 202 kg per hectare). At agronomic maturity for the latest maturing treatment, harvest aids will be applied to facilitate defoliation and promote boll opening. All seedcotton from the center two rows of each plot will be mechanically harvested and seedcotton weight will be determined in the field. The seedcotton samples for each plot will then be transported to the University of Georgia Micro-Gin to separate fiber from seed. From the seedcotton weights and gin turnouts for each plot, lint yield will be estimated. Additionally, cotton seed samples will be collected and weighed after each sample is ginned to estimate seed yield. Seed characteristics will also be assessed by quantifying seed weight and seed oil and protein content. Oil and protein yield will be extrapolated from the seed yields determined previously and the oil and protein concentrations of seed samples. Regarding data analysis and interpretation, statistical analysis of the effects of irrigation treatment and N rate on fiber yield, seed product yield (oil and protein), and seed characteristics (seed index, % oil, and % protein) will be conducted using a mixed-effects analysis of variance. Specifically, replicates, whole plots, and subplots are treated as random effects; irrigation treatment, N rate, and their interactions are treated as fixed effects.For objective 2, large-scale on-farm assessments of cotton fiber, seed, oil, and protein yields will be assessed in numerous production environments throughout the state of Georgia. Multiple cotton cultivars marketed for production in Georgia will be grown in large-plot on-farm research trials at numerous locations throughout the state. At crop maturity, harvest aids will be applied and commercially-available spindle pickers will be utilized to mechanically harvest each plot. Seedcotton weights for each plot will be determined on-site using a mobile load cell scale system in the field. A 9 kg sample of one replicate plot for each cultivar will be transported to the University of Georgia Micro Gin in Tifton, Georgia to obtain gin turnout for each genotype x location and calculate a lint yield for each plot harvested. During the ginning process, seed samples will be also be collected to estimate seed yield, seed index, and seed oil and protein yield concentration as described previously for objective 1. This will allow for the estimation of oil and protein yields. Data analysis and interpretation will first involve assessments of the effects of cultivar and production environment on lint, seed, oil, and protein yields. To accomplish this, a mixed-effects analysis of variance will be conducted using only the common cultivars present in on-farm trials across both growing seasons, and each location x year combination will be treated as a unique environment. Additionally, the contributions of cultivar, environment, and their interaction to total variability in lint, seed, oil, and protein yield will be assessed as a percentage of model sum of squares. This will enable us to identify genotype or environment as the dominant driver of seed, oil, and protein yields in Georgia. Finally, regression analysis will be utilized across all yield environments for each cultivar to develop quantitative relationships between fiber, seed, oil, and protein yields. This will allow us to identify environments in which seed component yields (preferably oil) can be maximized without penalizing fiber yields.For Objective 3, two separate small-plot field assessments (one for seeds from objective 1 and one for a subset of seeds from objective 2) of stand establishment, early-season plant growth, seasonal trends in crop phenology and physiology, and end-of season lint, seed, oil, and protein yield will be performed. Seeds will be delinted, treated, and planted in a randomized complete block design with four replications in small plot field trials in Tifton, GA. In both of the aforementioned small-plot experiments, stand establishment rates will be assessed by measuring plant density at 3, 5, 7, 14, and 21 days after planting (DAP) for the center two rows of each plot along with daily maximum and minimum air temperature. These data will be used to estimate growing degree day requirements to reach 50% emergence (GDD50). For plant growth and canopy development assessments, plant height and the number of mainstem leaf nodes will be assessed beginning at 21 days after planting and continuing on a bi-weekly basis until new vegetative growth ceases. Concurrent with plant height and node measurements, the fraction of light intercepted by the canopy will be calculated. From these data, leaf area index can be calculated for each plot using previously published light extinction coefficients for cotton. From the aforementioned data collection, rates of growth during the linear growth phase of development will be an indicator of vigor. Additionally, critical leaf area index is the leaf area index (LAI) at which 95% light interception by the canopy occurs and at which maximum crop growth rate is achieved. By measuring radiation interception by the canopy, we will be able to identify differences in time to reach critical LAI between the different seed sources used in each experiment. At agronomic maturity and after applying harvest aids, seedcotton, seed, oil, and protein yields will be assessed as described for previous objectives. Data analysis and interpretation will differ between the two small plot experiments. For the first experiment, a mixed-effects analysis of variance will be used to determine how these growth and yield-driving factors influence stand establishment, plant growth, and yields of the subsequently planted crop. The second experiment [on-farm variety trial seed] will answer the question "To what extent does on-farm variation in seed characteristics (mass, seed composition) affect stand establishment, growth, and yield of the subsequent crop?" To address this, multi-variate correlation analysis will first be used to test for associations between seed traits, growth indices, and fiber and seed component yields. Thereafter, regression functions will be utilized to define thresholds for important seed traits that are indicative of reductions in plant growth or yield of the subsequent crop.