Response of Glyphosate-Tolerant Soybean Yield Components to Dicamba Exposure

Weed Science ◽  
2013 ◽  
Vol 61 (4) ◽  
pp. 526-536 ◽  
Author(s):  
Andrew P. Robinson ◽  
David M. Simpson ◽  
William G. Johnson

Exposure of soybean to dicamba can result in leaf malformation and sometimes yield loss, but it is unclear how yield components are affected by exposure to low quantities of this herbicide. The objectives were to characterize soybean injury and quantify changes in seed yield and yield components of soybean plants exposed to dicamba, and determine if seed yield loss can be estimated from visual injury ratings. Nine dicamba rates (0, 0.06, 0.23, 0.57, 1.1, 2.3, 4.5, 9.1, and 22.7 g ae ha−1) were applied at three growth stages (V2 – two trifoliates, V5-five trifoliates, or R2-full flowering soybean) to Beck's brand ‘342NRR’ soybean planted near Lafayette, IN, in 2009 and 2010 and near Fowler, IN, in 2009. Visually estimated soybean injury of 20% at the V2, V5, or R2 timing was 0.676 to 0.937 g ha−1dicamba at 14 d after treatment (DAT) and 0.359 to 1.37 g ha−1dicamba at 28 DAT. Seed yield was reduced by 5% from 0.042 to 0.528 g ha−1dicamba and a 10% reduction was caused by 0.169 to 1.1 g ha−1dicamba. The number of seeds m−2, pods m−2, reproductive nodes m−2, and nodes m−2were the most sensitive yield components. Path analysis indicated that dicamba reduced seeds m−2, pods m−2, reproductive nodes m−2, and nodes m−2which were the main causes of seed yield loss from dicamba exposure. The correlation of seed yield loss and visual soybean injury was significant (P < 0.0001) for both the V2 treatment timing (R2= 0.92) and the V5 and R2 treatment timings (R2= 0.91). Early-season injury rating of 8% at the V2 treatment and 2% at the V5 or R2 treatments caused 10% or more yield loss.

Weed Science ◽  
2013 ◽  
Vol 61 (1) ◽  
pp. 68-76 ◽  
Author(s):  
Andrew P. Robinson ◽  
Vince M. Davis ◽  
David M. Simpson ◽  
William G. Johnson

Soybean plants exposed POST to 2,4-D can have reduced seed yield depending on the dose and time of exposure, but it is unclear how 2,4-D affects specific yield components. Objectives were to quantify soybean injury, characterize changes in seed yield and yield components of soybean plants exposed to 2,4-D, and determine if seed-yield loss can be estimated from visual assessment of crop injury. Ten rates (0, 0.1, 1.1, 11.2, 35, 70, 140, 280, 560, and 2,240 g ae ha−1) of 2,4-D were applied to Becks brand 342 NRR soybean at three soybean growth stages (V2, V5, or R2). The soybeans were planted near Lafayette, IN and Urbana, IL in 2009 and 2010 and near Fowler, IN in 2009. Twenty percent visual soybean injury was caused by 29 to 109 g ha−12,4-D at 14 d after treatment (DAT) and 109 to 245 g ha−1at 28 DAT. Nonlinear regression models were fit to describe the effect of 2,4-D on seed yield and yield components of soybean. Seed yield was reduced by 5% from 87 to 116 g ha−1and a 10% reduction was caused by 149 to 202 g ha−12,4-D at all application timings. The number of seeds m−2, pods m−2, reproductive nodes m−2, and nodes m−2were the most sensitive yield components. Path analysis indicated that seeds m−2, pods m−2, main stem reproductive nodes m−2, and main stem nodes m−2were the most influential yield components in seed-yield formation. Seed-yield loss was significant (P < 0.0001) and highly correlated (R2= 0.95 to 0.99) to visual soybean injury ratings. A 10% seed-yield loss was caused by 35% soybean injury observed at 14 DAT, whereas a 10% seed-yield loss was a result of 40, 19, and 15% soybean injury observed at 28 DAT when soybean was exposed to 2,4-D at the V2, V5, and R2 growth stages, respectively.


1973 ◽  
Vol 81 (3) ◽  
pp. 445-448 ◽  
Author(s):  
T. E. Yassin

SUMMARYEstimates of genotypic and phenotypic variances and covariances were determined for yield and yield components in ten field beans varieties grown at two locations over three seasons.Substantial amounts of genotypic variance were obtained for yield/plot, 1000-seed weight and number of pods/plant. Variability in number of seeds/pod and much of the variation in yield/plant was attributable to environmental effects and their interaction with the varieties. Seed yield/plot was closely and positively correlated with number of pods/plant and yield/plant, while it was closely and negatively correlated with 1000-seed weight.The implications of these correlations for selection are discussed.


2007 ◽  
Vol 55 (3) ◽  
pp. 339-345 ◽  
Author(s):  
A. Göksoy ◽  
Z. Turan

This study was made in order to determine the correlations between seed yield and some yield components, and the direct and indirect effects of these characters on seed yield in sunflower. Four experimental synthetic varieties (Syn 1s), their parental mixtures (Syn Os) and two standard varieties (open pollinated: Vniimk 8931, and commercial hybrid: Sunbred-281) were evaluated in replicated field trials under Turkish conditions in 1995, 1996 and 1997. Agronomic characteristics such as plant height, head diameter, number of seeds per head, 1000-seed weight and seed yield were observed for correlations and path coefficient analysis.According to the results, seed yield gave significant positive correlations with plant height, head diameter, number of seeds per head and 1000-seed weight. The highest positive correlation was observed between seed yield and number of seeds per head (r=0.890**). Path analysis indicated that the number of seeds per head gave the greatest direct effect (+0.7269) on seed yield, followed by 1000-seed weight (+0.3215) and head diameter (+0.1689). The percentage of direct effects on seed yield was 80.8%, 50.6% and 24.0% for number of seeds per head, 1000-seed weight and head diameter, respectively.


Weed Science ◽  
1989 ◽  
Vol 37 (6) ◽  
pp. 778-783 ◽  
Author(s):  
Dan J. Pantone ◽  
William A. Williams ◽  
Armand R. Maggenti

Path analysis was used to assess the efficacy of the fiddleneck flower gall nematode as a weed biocontrol agent of coast fiddleneck in competition with wheat during 2 yr of field experiments. The path analysis revealed that the number of inflorescences/plant for fiddleneck and the number of heads/plant for wheat were the most important yield components that determine fecundity and seed yield. The density of fiddleneck had a much greater impact on the yield components of fiddleneck than did the density of wheat or the nematode rate of inoculation. The nematode had its greatest negative impact on the number of seeds/flower of fiddleneck and its greatest positive impact on the number of heads/plant of wheat. Path analysis predicts that a biocontrol agent that has a large negative direct effect on the number of inflorescences/plant for fiddleneck would be more efficacious in decreasing fecundity and seed yield than an agent that only impacts the number of flowers/inflorescence, seeds/flower, or biomass/seed.


2021 ◽  
Vol 18 (17) ◽  
Author(s):  
Mochammad Muchlish ADIE ◽  
Ayda KRISNAWATI

Seed yield in soybean is associated with other yield components. The objective of the study was to investigate the pattern of relationship between seed yield and yield components in soybean. Agronomic characters and seed yield of 147 soybean homozygous lines (HL) and 3 check cultivars (Dega 1, Detap 1, and Anjasmoro) were evaluated in Banyuwangi (East Java, Indonesia) from April to July 2018. The field experiment was conducted in a randomized complete block design with 2 replications. After threshing, the HLs were grouped into large seed size (> 14.00 g/100 seeds) and medium seed size (10 - 14 g/100 seeds). The causation and inter-relationship between yield components and seed yield were quantified using path analysis. Based on the seed size, a total of 150 HLs was grouped into 97 lines and 53 lines of large and medium seed size, respectively. The correlation analysis showed a similar pattern between groups of large and medium seed size. The seed yield in both groups was highly determined by the characters of the number of filled pods, number of nodes, number of branches, plant height, and wet biomass. The results of path analysis revealed that plant age, particularly the length of the generative phase, was an important factor affecting seed yield in large seed soybean lines. The length of the generative phase determining the soybean yield in this study can be suggested to be used as selection criteria to obtain high yielding and large seed size variety. HIGHLIGHTS The investigation on the pattern of relationship between seed yield and yield components in soybean The path analysis to quantify the causation and inter-relationship between yield components and seed yield  The soybean seed yield was highly determined by the characters of the number of filled pods, number of nodes, number of branches, plant height, and wet biomass The length of the generative phase could be used as selection criteria to obtain high yielding and large seed size soybean variety


1987 ◽  
Vol 23 (4) ◽  
pp. 395-400
Author(s):  
Y. S. Chauhan ◽  
S. C. Bhargava ◽  
D. P. S. Tomar

SUMMARYBranches are an important yield attribute of the mustard (Brassica junceo)crop. However, not all the branches are equally productive and some of those arising from the basal portion of the plant may form parasitic sinks for assimilates. The effect of de-branching at the 50% flowering stage in the apical (AHD) and the basal halves (BHD) of two mustard genotypes, Pusa Bold and Varuna, was examined. The BHD treatment increased the seed yield per plant of Pusa Bold by 36% and of Varuna by 75% over the control. The increase in yield due to the BHD treatment was mainly due to an improvement in the total number of pods per plant in both genotypes. In Pusa Bold, an improvement in both 1000-seed weight and number of seeds per pod, mainly on late formed branches, was also observed. The AHD treatment reduced seed yield but not significantly so. The results suggest that improvement in the yield of mustard cultivars by suppressing branching on the basal portion of plants should be possible.


2015 ◽  
Vol 31 (4) ◽  
pp. 288-299 ◽  
Author(s):  
Strahinja Stepanovic ◽  
Avishek Datta ◽  
Brian Neilson ◽  
Chris Bruening ◽  
Charles Shapiro ◽  
...  

AbstractPropane flaming in combination with cultivation could be a potential alternative tool for weed control in organic soybean production. Field experiments were conducted at the Haskell Agricultural Laboratory of the University of Nebraska-Lincoln (UNL), Concord, NE in 2010, 2011 and 2012 to determine the level of weed control and the response of soybean grain yield and its components to flaming and cultivation within two fertility regimes (FRs) (with and without manure) utilizing flaming equipment developed at the UNL. The treatments included: weed-free control, weedy season-long and different combinations of banded flaming (intra-row), broadcast flaming and mechanical cultivation (inter-row). The treatments were applied at VC (unfolded cotyledon) and V4–V5 (4-leaf–5-leaf) growth stages. Propane doses were 20 and 45 kg ha−1 for the banded and broadcast flaming treatments, respectively. The data were collected for visual ratings of crop injury and weed control at 7 and 28 days after treatment (DAT) at V4–V5 growth stages, weed dry matter at 60 DAT, crop yield and yield components. The annual application of 101 t ha−1 manure did not alter weed community or influence the effectiveness of weed management treatment; however, it decreased soybean yield by 0.25 t ha−1 through an increased weed biomass of 0.16 t ha−1. The weed-free control plots yielded 4.15 t ha−1. The combination of mechanical cultivation and banded flaming applied twice (at VC and V4–V5) was the best treatment resulting in 80–82% weed control and 6–9% crop injury at 28 DAT and 3.41–3.67 t ha−1 yield. Cultivation conducted twice provided only 19% weed control at 28 DAT and 1.75 t ha−1 yield. Soybean plants recovered well after all flaming treatments, with the exception of broadcast flaming conducted twice (28% crop injury at 28 DAT). Combining flaming with cultivation has a potential to effectively control weeds in organic soybean production across a range of FRs.


2013 ◽  
Vol 61 (4) ◽  
pp. 255-266
Author(s):  
E. Farshadfar

In order to locate QTLs controlling the phenotypic stability and drought tolerance of yield and yield components in barley, seven disomic addition lines were sown together with their parents (donor and recipient) in a randomized complete block design with three replications under four rainfed and irrigated conditions. The descriptive diagram of yield and yield components exhibited a genotype (G) × environment (E) interaction and moderate variability over different environments, indicating the possibility of selection for stable and drought-tolerant entries. The AMMI stability value (ASV) and yield stability index (YSI) discriminated addition lines 2H and 4H as the most stable and droughttolerant.Path analysis revealed that the relative contribution of the number of seeds per plant (NSPP) (0.71) to grain yield (GY) was higher than that of the number of seeds per spike (SPS) (−0.44) and of thousand-seed weight (TSW) (−0.14). Therefore, the contribution of NSPP to the stability of GY over different environments was higher than that of other yield components. In other words, the instability of GY was caused by TSW and SPS in different environments. Path analysis on the drought susceptibility index revealed that most of the QTLs controlling drought tolerance and drought susceptibility in barley are located on chromosomes 3H and 6H, respectively.


2016 ◽  
Vol 30 (3) ◽  
pp. 629-638 ◽  
Author(s):  
Ti Zhang ◽  
Eric N. Johnson ◽  
Christian J. Willenborg

Desiccants are currently used to improve lentil dry-down prior to harvest. Applying desiccants at growth stages prior to maturity may result in reduced crop yield and quality, and leave unacceptable herbicide residues in seeds. There is little information on whether various herbicides applied alone or as a tank-mix with glyphosate have an effect on glyphosate residues in harvested seed. Field trials were conducted at Saskatoon and Scott, Saskatchewan, Canada, from 2012 to 2014 to determine whether additional desiccants applied alone or tank mixed with glyphosate improve crop desiccation and reduce the potential for unacceptable glyphosate residue in seed. Glufosinate and diquat tank mixed with glyphosate were the most consistent desiccants, providing optimal crop dry-down and a general reduction in glyphosate seed residues without adverse effects on seed yield and weight. Saflufenacil provided good crop desiccation without yield loss, but failed to reduce glyphosate seed residues consistently. Pyraflufen-ethyl and flumioxazin applied alone or tank mixed with glyphosate were found to be inferior options for growers as they exhibited slow and incomplete crop desiccation, and did not decrease glyphosate seed residues. Based on results from this study, growers should apply glufosinate or diquat with preharvest glyphosate to maximize crop and weed desiccation, and minimize glyphosate seed residues.


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