Growth Analysis of Cotton in Competition with Velvetleaf (Abutilon theophrasti)

2016 ◽  
Vol 30 (1) ◽  
pp. 123-136 ◽  
Author(s):  
Xiaoyan Ma ◽  
Jinyan Yang ◽  
Hanwen Wu ◽  
Weili Jiang ◽  
Yajie Ma ◽  
...  

Field experiments were conducted in 2013 and 2014 to determine the influence of velvetleaf densities of 0, 0.125, 0.25, 0.5, 1, 2, 4, and 8 plants m−1of row on cotton growth and yield. The relationship between velvetleaf density and seed cotton yield was described by the hyperbolic decay regression model, which estimated that a density of 0.44 to 0.48 velvetleaf m−1of row would result in a seed cotton yield loss of 50%. Velvetleaf remained taller and thicker than cotton throughout the growing season. Both cotton height and stem diameter reduced with increasing velvetleaf density. Moreover, velvetleaf interference delayed cotton maturity, especially at velvetleaf densities of 1 to 8 plants m−1of row, and cotton boll number and weight, seed numbers per boll, and lint percentage were also reduced. Fiber quality was not influenced by weed density when analyzed over 2 yr; however, fiber length uniformity and micronaire were adversely affected in 2014. Velvetleaf intraspecific competition resulted in density-dependent effects on weed biomass, ranging from 97 to 204 g plant−1dry weight. Velvetleaf seed production per plant or per square meter was indicated by a logarithmic response. At a density of 1 plant m−1of cotton row, velvetleaf produced approximately 20,000 seeds m−2. The adverse impact of velvetleaf on cotton growth and development identified in this study have indicated the need for effective management of this species when the weed density is greater than 0.25 to 0.5 plant m−1of row and before the weed seed maturity.

MAUSAM ◽  
2021 ◽  
Vol 72 (3) ◽  
pp. 627-634
Author(s):  
ABHISHEK DHIR ◽  
R. K. PAL ◽  
P. K. KINGRA ◽  
S. K. MISHRA ◽  
S. S. SANDHU

The DSSAT module for cotton crop has been evaluated as a tool to predict the crop growth and yield response to microclimatic modifications. In this context, multi-location field experiments were laid out at Bathinda and Faridkot, districts of Punjab during Kharif 2018 with Bt-cotton hybrid RCH 773 BGII and sown at three times, i.e., April 30, May 15 and May 30 with two row orientations (North-South : N-S and East-West : E-W) and three plant spacing’s (67.5 cm × 45.0 cm, 67.5 cm × 60.0 cm and 67.5 cm × 75.0 cm) in factorial split plot design and replicated by three times. The model output in terms of simulated phenology showed close proximity over observed value having R2 of 0.51 and 0.61 at Bathinda and 0.43 and 0.87 at Faridkot anthesis and maturity, respectively. Among study locations, observed and simulated LAI ranged from 2.7 to 3.7 and 1.8 to 3.0. Simulated seed cotton yield was found significantly higher with the crop sown on 30th April (3053 and 3274 kg ha-1) than 30th May sowing (2392 and 2511 kg ha-1) at Bathinda and Faridkot, respectively, which was in good agreement with observed yield having higher value of d-stat (0.84 for Bathinda and 0.89 for Faridkot) and R2 (0.75 for Bathinda and 0.83 for Faridkot). Moreover, higher seed cotton yield was simulated under East-West row direction along with wider plant spacing (67.5 × 75 cm) at both locations. Overall, CROPGRO-cotton model can be used as research tool for the prediction of cotton phenology and yield and to explore site-specific adoption strategies such as appropriate sowing time, row orientation and plant spacing to sustain cotton productivity under changing climatic conditions.


2017 ◽  
Vol 32 (1) ◽  
pp. 60-65 ◽  
Author(s):  
Matheus G. Palhano ◽  
Jason K. Norsworthy ◽  
Tom Barber

AbstractWith the recent confirmation of protoporphyrinogen oxidase (PPO)-resistant Palmer amaranth in the US South, concern is increasing about the sustainability of weed management in cotton production systems. Cover crops can help to alleviate this problem, as they can suppress weed emergence via allelochemicals and/or a physical residue barrier. Field experiments were conducted in 2014 and 2015 at the Arkansas Agricultural Research and Extension Center to evaluate various cover crops for suppressing weed emergence and protecting cotton yield. In both years, cereal rye and wheat had the highest biomass production, whereas the amount of biomass present in spring did not differ among the remaining cover crops. All cover crops initially diminished Palmer amaranth emergence. However, cereal rye provided the greatest suppression, with 83% less emergence than in no cover crop plots. Physical suppression of Palmer amaranth and other weeds with cereal residues is probably the greatest contributor to reducing weed emergence. Seed cotton yield in the legume and rapeseed cover crop plots were similar when compared with the no cover crop treatment. The seed cotton yield collected from cereal cover crop plots was lower than from other treatments due to decreased cotton stand.


Author(s):  
R.K. Giri ◽  
S.K. Verma ◽  
J.P. Yadav

Background: Combining ability and parental diversity contributes directly to improve the heterotic potential. The experiment was aimed to study the parental diversity and its contribution to heterosis and to get an idea if parental diversity has any influence on the combining ability of the parental lines.Methods: The field testing was carried out during 2017-18 at three locations comprises, Sirsa, Bathinda and Abohar. Total eight parents were crossed in diallel manner to produce 56 combination excluding eight parental genotypes using full diallel. All the hybrids and parental lines were tested using RBD at the selected locations and the mean of these three locations data was used to study the relationship. Genetic relatedness of the parents was studied using 20 SSR markers and the distance/similarity matrix was developed using Jaccard coefficient method. Result: Genotypes showed significant (p≤0.01) differences for mean squares values for all the traits under study. F-2228, F-2164 and LH-2108 were the parents with best general combining abilities. Parental lines RS-2013 and RST were found to be the most divergent lines. The best F1 hybrids such as RST-9 x F-2164, LH-2076 x RST-9 and LH-2076 x RS-2013 comprised of diverse parents produced high heterosis for seed cotton yield. Among all the traits under study the maximum heterosis was received for seed cotton yield with a max gain of 126.8% over the mid parent.


Weed Science ◽  
1994 ◽  
Vol 42 (4) ◽  
pp. 553-555 ◽  
Author(s):  
Mohammad T. Bararpour ◽  
Ronald E. Talbert ◽  
Robert E. Frans

Field studies were conducted from 1988 through 1990 in Fayetteville, AR, to measure competitiveness of spotted spurge in cotton. Population levels were established by transplanting seedlings from other field areas. There was a positive linear relationship between cotton boll numbers and seed cotton yield. Percent reduction in cotton height, leaf area, dry weight, boll numbers, and seed cotton yield increased as spotted spurge densities increased. Seed cotton yield reduction was 47, 57, and 85% for spotted spurge densities of 5, 10, and 50 spotted spurge plants m–1of row.


1993 ◽  
Vol 7 (1) ◽  
pp. 159-162 ◽  
Author(s):  
David L. Jordan ◽  
Robert E. Frans ◽  
Marilyn R. McClelland

Field experiments were conducted from 1989 through 1991 to determine the effect of DPX-PE350 applied postemergence over-the-top on cotton yield and fiber quality. DPX-PE350, at rates ranging from 50 to 280 g ae ha−1applied to cotton in the VC to R6 growth stages, had no adverse effect on seed cotton yield, micronaire, fiber length, fiber length uniformity, or fiber strength. Cotton injury was 10% or less in all experiments.


1994 ◽  
Vol 8 (2) ◽  
pp. 311-316 ◽  
Author(s):  
John T. O'Donovan

Field experiments were conducted at Vegreville, Alberta in 1984, 1985, 1986, and 1988 to determine the effects of green foxtail and pale smartweed on yield of wheat, barley, and canola. There was considerable variation among years in the response of crop yield to both weeds and in the relationship between weed dry weight and weed density. Mostly relationships between crop yield and either weed density or dry weight were poor, suggesting that the weeds competed weakly with the crops. Thus density or dry weight may be poor predictors of crop yield losses due to green foxtail or pale smartweed. Where the crops emerged ahead of these weeds, and where soil moisture was not a limiting factor, crop yield losses were minimal and control with herbicides probably uneconomical. In some instances, growth and development of the weeds was suppressed by the crops to the extent that little or no weed dry matter was present at crop maturity. This was most evident with barley, and where the crops emerged ahead of the weeds.


Sign in / Sign up

Export Citation Format

Share Document