Sulfentrazone Persistence in Southern Soils: Bioavailable Concentration and Effect on a Rotational Cotton Crop

2004 ◽  
Vol 18 (2) ◽  
pp. 346-352 ◽  
Author(s):  
Christopher L. Main ◽  
Thomas C. Mueller ◽  
Robert M. Hayes ◽  
John W. Wilcut ◽  
Thomas F. Peeper ◽  
...  
Keyword(s):  
North Carolina ◽  
Yield Loss ◽  
Field Studies ◽  
Lint Yield ◽  
Yield Reduction ◽  
Cotton Lint ◽  
Cotton Crop ◽  
Cotton Lint Yield ◽  
Rotational Crop

Field studies were conducted from 1998 to 2000 in Tennessee, North Carolina, Arkansas, and Oklahoma to determine the effects of sulfentrazone carryover to a cotton rotational crop from sulfentrazone applied the previous year. Sulfentrazone applied the previous year at 400 g/ha caused no yield loss in Tennessee, >30% yield reduction in Oklahoma, and 20% yield loss in Arkansas and North Carolina. In most experiments in this study, visual evaluations of injury closely correlated with final cotton lint yield (r2=0.84).

Glyphosate-Resistant Horseweed (Conyza canadensis) Growth, Seed Production, and Interference in Cotton

Weed Science ◽  
2009 ◽  
Vol 57 (3) ◽  
pp. 346-350 ◽  
Author(s):  
Lawrence E. Steckel ◽  
C. Owen Gwathmey
Keyword(s):  
Seed Production ◽  
Yield Loss ◽  
Maximum Yield ◽  
Field Studies ◽  
Lint Yield ◽  
Growth Stages ◽  
Conyza Canadensis ◽  
Cotton Lint ◽  
Cotton Lint Yield ◽  
A Site

Field studies were conducted to examine both density and duration of glyphosate-resistant (GR) horseweed interference in cotton. Two studies, one examining the effect of horseweed density and a second the duration of horseweed interference, were conducted on a site with a natural population of horseweed that were treated with glyphosate at 0.84 kg ae ha−1prior to planting and at the 2nd and 4th cotton node growth stages. GR horseweed density effect on cotton height, maturity, and lint yield was determined at horseweed densities of 0, 5, 10, 15, 20, and 25 plants m−2. Duration of horseweed interference was evaluated when 20 horseweed m−2were allowed to interfere with cotton from emergence to 2nd node, 6th node, 10th node, 12th node, and 1st bloom stage of cotton. The maximum cotton lint yield loss (46%) occurred when horseweed was allowed to compete with cotton from emergence to maturity at the two highest densities (20 and 25 horseweed m−2). When the data were fit to the Cousens model the estimateda(maximum yield loss) andi(yield loss per unit density as density approaches zero) were 53 ± 7.3 and 2.8 ± 0.6 SE, respectively. In both years of the study, horseweed interference from emergence to the 2nd cotton node did not reduce cotton lint yields. In 2006, cotton lint yield loss was 28% compared to 39% in 2005 when horseweed interfered with cotton from emergence until the 6th cotton node. Cotton lint yield loss was 37 and 44% when horseweed competed to the 8th cotton node in 2005 and 2006, respectively. Maximum horseweed seed production was 134,000 to 148,000 seeds m−2.

Weed Control and Yield with Flumioxazin, Fomesafen, andS-Metolachlor Systems for Glufosinate-Resistant Cotton Residual Weed Management

2009 ◽  
Vol 23 (3) ◽  
pp. 391-397 ◽  
Author(s):  
Wesley J. Everman ◽  
Scott B. Clewis ◽  
Alan C. York ◽  
John W. Wilcut
Keyword(s):  
Weed Control ◽  
Weed Management ◽  
Residual Activity ◽  
Field Studies ◽  
Lint Yield ◽  
Cotton Lint ◽  
Common Lambsquarters ◽  
Control Programs ◽  
Pitted Morningglory ◽  
Cotton Lint Yield

Field studies were conducted near Clayton, Lewiston, and Rocky Mount, NC in 2005 to evaluate weed control and cotton response to preemergence treatments of pendimethalin alone or in a tank mixture with fomesafen, postemergence treatments of glufosinate applied alone or in a tank mixture withS-metolachlor, and POST-directed treatments of glufosinate in a tank mixture with flumioxazin or prometryn. Excellent weed control (> 91%) was observed where at least two applications were made in addition to glufosinate early postemergence (EPOST). A reduction in control of common lambsquarters (8%), goosegrass (20%), large crabgrass (18%), Palmer amaranth (13%), and pitted morningglory (9%) was observed when residual herbicides were not included in PRE or mid-POST programs. No differences in weed control or cotton lint yield were observed between POST-directed applications of glufosinate with flumioxazin compared to prometryn. Weed control programs containing three or more herbicide applications resulted in similar cotton lint yields at Clayton and Lewiston, and Rocky Mount showed the greatest variability with up to 590 kg/ha greater lint yield where fomesafen was included PRE compared to pendimethalin applied alone. Similarly, an increase in cotton lint yields of up to 200 kg/ha was observed whereS-metolachlor was included mid-POST when compared to glufosinate applied alone, showing the importance of residual herbicides to help maintain optimal yields. Including additional modes of action with residual activity preemergence and postemergence provides a longer period of weed control, which helps maintain cotton lint yields.

scholarly journals Influence of Simulated Imazapic and Imazethapyr Herbicide Carryover on Cotton (Gossypium hirsutumL.)

2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
W. James Grichar ◽  
Peter A. Dotray ◽  
Todd A. Baughman
Keyword(s):  
Gossypium Hirsutum ◽  
Arachis Hypogaea ◽  
Field Studies ◽  
Lint Yield ◽  
Cotton Lint ◽  
Growing Seasons ◽  
Untreated Check ◽  
Cotton Lint Yield

Field studies were conducted during the 2001 and 2002 growing seasons in the Texas peanut growing regions to simulate residual concentrations of imazapic and imazethapyr in the soil and subsequent effects on cotton (Gossypium hirsutumL.). Simulated imazapic or imazethapyr rates included 0, 1/64X (1.09 g ai/ha), 1/32X (2.19 g ai/ha), 1/16X (4.38 g ai/ha), 1/8X (8.75 g ai/ha), 1/4X (17.5 g ai/ha), and 1/2X (35 g ai/ha) of the full labeled rate for peanut (Arachis hypogaeaL.) and incorporated prior to cotton planting. Cotton stunting with imazapic or imazethapyr was more severe at Denver City than other locations. All rates of imazapic and imazethapyr resulted in cotton stunting at Denver City while at Munday and Yoakum the 1/8X, 1/4X, and 1/2X rates of imazapic resulted in reduced cotton growth when compared with the untreated check. At all locations imazapic caused more stunted cotton than imazethapyr. Cotton lint yield was reduced by imazapic or imazethapyr at 1/4 X and 1/2 X rates at all locations when compared with the untreated check.

Interference from Established Stands of Silverleaf Nightshade (Solanum elaeagnifolium) on Cotton (Gossypium hirsutum) Lint Yield

Weed Science ◽  
1990 ◽  
Vol 38 (2) ◽  
pp. 129-133 ◽  
Author(s):  
Brenda S. Smith ◽  
John A. Pawlak ◽  
Don S. Murray ◽  
Laval M. Verhalen ◽  
J. D. Green
Keyword(s):  
Field Experiments ◽  
Yield Loss ◽  
Lint Yield ◽  
Yield Potential ◽  
Stand Age ◽  
Cotton Lint ◽  
Silverleaf Nightshade ◽  
Cotton Lint Yield ◽  
Solanum Elaeagnifolium ◽  
Growing Conditions

Field experiments were conducted in 1985 and 1986 under eight environments to evaluate the population dynamics of a range of silverleaf nightshade densities and to measure the effects of those populations on cotton lint yield. Dry weed weights of silverleaf nightshade stands were influenced by growing conditions among years, but were positively related to initial densities as long as 2 yr after establishment. Stem numbers increased as initial densities and stand age increased. A negative linear relationship existed between cotton lint yield and weed biomass and between cotton lint yield and stem number from both 1- and 2-yr-old weed stands. For each 1 kg/10 m of row increase in dry weed weight from 1- and 2-yr-old stands, a 9 and 21% lint yield loss/ha was predicted, respectively. For each stem/10 m of row, a 0.35 and 0.31% yield loss was predicted, respectively. Late-planted cotton was less vulnerable to yield reductions by silverleaf nightshade; however, its yield potential was also less.

Plant Population and Plant Height Effects on Pima Cotton Lint Yield 1

1986 ◽  
Vol 78 (3) ◽  
pp. 534-538 ◽  
Author(s):  
D. L. Kittock ◽  
R. A. Selley ◽  
C. J. Cain ◽  
B. B. Taylor
Keyword(s):  
Plant Height ◽  
Plant Population ◽  
Lint Yield ◽  
Cotton Lint ◽  
Pima Cotton ◽  
Cotton Lint Yield

Competition of noogoora burr (Xanthium occidentale) and fierce thornapple (Datura ferox) with cotton (Gossypium hirsutum)

Weed Science ◽  
1998 ◽  
Vol 46 (4) ◽  
pp. 442-446 ◽  
Author(s):  
Graham W. Charles ◽  
Robert D. Murison ◽  
Steven Harden
Keyword(s):  
Gossypium Hirsutum ◽  
Lint Yield ◽  
Spline Regression ◽  
Yield Losses ◽  
Cotton Lint ◽  
Regression Curves ◽  
Economic Thresholds ◽  
Cotton Lint Yield ◽  
Area Of Influence ◽  
Average Size

Competitiveness of noogoora burr and fierce thornapple in irrigated cotton was assessed using area-of-influence methodology. Lint yields were regressed against distances from the weeds using spline regression. The resulting regression curves were used to estimate areas of influence and yield losses, which were further modeled as functions of weed size to understand weed competitiveness. Cotton lint yield reductions averaged 36 and 12%, with maximum distances of influence of 1.71 and 1.65 m for noogoora burr and fierce thornapple, respectively. Economic thresholds for control using hand hoeing were related to weed size. Thresholds for average-size weeds were one cocklebur in 195 m and one fierce thornapple in 73 m of cotton row.

Cotton lint yield accumulation rate and quality development

1985 ◽  
Vol 10 ◽  
pp. 205-218 ◽  
Author(s):  
D.F. Wanjura ◽  
G.L. Barker
Keyword(s):  
Accumulation Rate ◽  
Lint Yield ◽  
Quality Development ◽  
Cotton Lint ◽  
Cotton Lint Yield

scholarly journals Changes in Leaf Structural and Functional Characteristics when Changing Planting Density at Different Growth Stages Alters Cotton Lint Yield under a New Planting Model

Agronomy ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 859 ◽  
Author(s):  
Aziz Khan ◽  
Jie Zheng ◽  
Daniel Kean Yuen Tan ◽  
Ahmad Khan ◽  
Kashif Akhtar ◽  
...  
Keyword(s):  
Chlorophyll Fluorescence ◽  
Quantum Yield ◽  
Gas Exchange ◽  
Stomatal Density ◽  
Leaf Gas Exchange ◽  
High Density ◽  
Lint Yield ◽  
Planting Density ◽  
Cotton Lint ◽  
Cotton Lint Yield

Manipulation of planting density and choice of variety are effective management components in any cropping system that aims to enhance the balance between environmental resource availability and crop requirements. One-time fertilization at first flower with a medium plant stand under late sowing has not yet been attempted. To fill this knowledge gap, changes in leaf structural (stomatal density, stomatal length, stomata width, stomatal pore perimeter, and leaf thickness), leaf gas exchange, and chlorophyll fluorescence attributes of different cotton varieties were made in order to change the planting densities to improve lint yield under a new planting model. A two-year field evaluation was carried out on cotton varieties—V1 (Zhongmian-16) and V2 (J-4B)—to examine the effect of changing the planting density (D1, low, 3 × 104; D2, moderate, 6 × 104; and D3, dense, 9 × 104) on cotton lint yield, leaf structure, chlorophyll fluorescence, and leaf gas exchange attribute responses. Across these varieties, J-4B had higher lint yield compared with Zhongmian-16 in both years. Plants at high density had depressed leaf structural traits, net photosynthetic rate, stomatal conductance, intercellular CO2 uptake, quenching (qP), actual quantum yield of photosystem II (ΦPSII), and maximum quantum yield of PSII (Fv/Fm) in both years. Crops at moderate density had improved leaf gas exchange traits, stomatal density, number of stomata, pore perimeter, length, and width, as well as increased qP, ΦPSII, and Fv/Fm compared with low- and high-density plants. Improvement in leaf structural and functional traits contributed to 15.9%–10.7% and 12.3%–10.5% more boll m−2, with 20.6%–13.4% and 28.9%–24.1% higher lint yield averaged across both years, respectively, under moderate planting density compared with low and high density. In conclusion, the data underscore the importance of proper agronomic methods for cotton production, and that J-4B and Zhongmian-16 varieties, grown under moderate and lower densities, could be a promising option based on improved lint yield in subtropical regions.

scholarly journals Sowing Density Effects in Cotton Yields and Its Components

Agronomy ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 349
Author(s):  
Manuel Guzman ◽  
Luis Vilain ◽  
Tatiana Rondon ◽  
Juan Sanchez
Keyword(s):  
Yield Components ◽  
Field Experiments ◽  
Agronomic Traits ◽  
Lint Yield ◽  
Cotton Lint ◽  
Boll Weight ◽  
Cotton Lint Yield ◽  
Weight Number ◽  
100 Seed Weight ◽  
Number Of Seeds

Evaluation of sowing density is an important factor for achieving maximum yields without affecting other agronomic traits. Field experiments were conducted during three consecutive years (2008, 2009 and 2010) to determinate the effect of four sowing density (62,500; 83,333; 100,000 and 142,857 pl ha−1) on yields and its components of two cotton varieties, ‘Delta Pine 16′ and ‘SN-290′ in Venezuela. The traits evaluated were lint yield, boll weight, number of seeds per boll, 100-seed weight, and fiber content. Highly significant differences (p ≤ 0.01) were observed among genotypes, sowing density and their interactions for all traits. Sowing density was not affected by year factor. High lint yield was found in ‘SN-290′ (4216.2 kg ha−1) at 100,000 pl ha−1; and in ‘Delta Pine 16′ (3917.3 kg ha−1) at 83,333 pl ha−1. The highest sowing density (142,857 pl ha−1), decrease lint yield and yield components in the genotypes. The highest boll weight was obtained by ‘SN-290′ with 6.4 g in average. All sowing densities evaluated resulted in lint percentages above 40%. Cotton lint yield was positively correlated with all yield components. Our results indicate that highest lint yields could be obtained with sowing densities between 83,333 and 100,000 pl ha−1 depending upon varieties used across savannahs of Venezuela.

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