The effect of infestation by Lolium rigidum Gaud. (annual ryegrass) on the yield of wheat

1974 ◽  
Vol 25 (3) ◽  
pp. 381 ◽  
Author(s):  
DF Smith ◽  
GRT Levick

The effect of ryegrass infestation on the grain yield of wheat was examined and related to a yield analysis equation. Up to the two-leaf stage, apparently through competition for nitrogen, the presence of ryegrass at quite a low density (450 plants per m²) reduced the capacity of wheat plants to produce laterals. Neither the later removal of ryegrass nor the addition of nitrogen overcame this setback. In fact, the results suggest that nitrogen addition would result in a further loss in yield, and that this would increase with increasing density of ryegrass. However, the presence of ryegrass up to the two-leaf stage did not affect grain number per head or grain size: such effects were entirely dependent on the presence of ryegrass during the reproductive stage.


2019 ◽  
Vol 70 (2) ◽  
pp. 140 ◽  
Author(s):  
Gulshan Mahajan ◽  
Kerry McKenzie ◽  
Bhagirath S. Chauhan

Annual ryegrass (ARG) (Lolium rigidum Gaudin) is a problematic weed for chickpea (Cicer arietinum L.) production in Australia. Understanding the critical period of control of ARG in chickpea is important for developing effective integrated management strategies to prevent unacceptable yield loss. Experiments were conducted over 2 years at the research farm of the University of Queensland, Gatton, to evaluate the effect of chickpea row spacing (25 and 75cm) and cultivar (PBA Seamer and PBA HatTrick) and ARG infestation period (from 0, 3 and 6 weeks after planting (WAP), and weed-free) on ARG suppression and grain yield of chickpea. Year×treatment interactions were not significant for any parameter, and none of the treatment combinations showed any interaction for grain yield. Average grain yield was greater (20%) with 25-cm than 75-cm rows. On average, PBA Seamer had 9% higher yield than PBA HatTrick. Average grain yield was lowest in season-long weedy plots (562kg ha–1) and highest in weed-free plots (1849kg ha–1). Grain yield losses were lower when ARG emerged at 3 WAP (1679kg ha–1). Late-emerged ARG (3 and 6 WAP) had lower biomass (4.7–22.2g m–2) and number of spikes (5–24m–2) than ARG that emerged early; at 0 WAP, weed biomass was 282–337g m–2 and number of spikes 89–120m–2. Compared with wide row spacing, narrow row spacing suppressed ARG biomass by 16% and 52% and reduced number of spikes of ARG by 26% and 48% at 0 WAP and 3 WAP, respectively. PBA Seamer suppressed ARG growth more effectively than PBA HatTrick, but only in the season-long weedy plots. Our results imply that in ARG-infested fields, grain yield of chickpea can be increased by exploring narrow row spacing and weed-competitive cultivars. These cultural tools could be useful for developing integrated weed management tactics in chickpea in combination with pre-emergent herbicides.



2001 ◽  
Vol 52 (5) ◽  
pp. 573 ◽  
Author(s):  
J. A. Palta ◽  
S. Peltzer

The effect of timing of annual ryegrass (Lolium rigidum) emergence on the uptake and utilisation of N by wheat was investigated in a field trial on a duplex soil at Katanning, Western Australia, and in a glasshouse study in which 15N-fertiliser was applied. Three treatments were used to investigate the effect of timing of annual ryegrass emergence on the uptake and utilisation of N by wheat: simultaneous sowing of wheat and annual ryegrass, sowing of annual ryegrass 1 week before wheat, and sowing of the annual ryegrass 1 week after wheat. A control treatment, consisting of wheat sown alone, was also included. Plant densities during the field trial were 105 and 140 plants/m2 for wheat and annual ryegrass, respectively, whereas in the glasshouse they were 105 plants/m2 for wheat and 155 plants/m2 for annual ryegrass. Fertiliser-N was applied at seeding of wheat at 50 kg N/ha in the field trial and 60 kg N/ha in the glasshouse. The introduction of annual ryegrass into the wheat system reduced the production of biomass and the grain yield of wheat. The earlier the annual ryegrass was introduced into the system, the greater the reduction in the biomass and grain yield of wheat. Poor tillering and slow rates of growth were accountable for the reduction in biomass, whilst the reduction in wheat grain yield was caused by the reductions in ear number, kernels per ear, and kernel size. Grain N content and hence grain protein was also reduced by the introduction of annual ryegrass into the wheat system. Irrespective of the timing of introduction of annual ryegrass, the low N uptake of wheat resulted from a reduction in the uptake of both soil and fertiliser-N. This indicates that annual ryegrass competed with wheat not only for the fertiliser-N that was applied at seeding of wheat, but also for mineralised soil N. The competition for N reduced the total recoveries of fertiliser-N in the wheat plant. Total recoveries of fertiliser-N in the wheat plant suggest that 59% of the fertiliser-N was not taken up by wheat when annual ryegrass was sown 1 week earlier than wheat or at the same time as wheat, whereas only 32% was not taken up by the wheat when annual ryegrass was sown 1 week later than wheat. More competitive wheat genotypes would be those with better efficiency in the uptake of N and its utilisation in maintaining yield and grain protein under infestations of annual ryegrass.



1986 ◽  
Vol 37 (2) ◽  
pp. 149 ◽  
Author(s):  
I Heap ◽  
R Knight

A population of L. rigidum, which is known to have developed resistance to one of the diphenyl-ethertype of herbicides, diclofop-methyl, was tested for cross-resistance to three other herbicides of the same type, namely fluazifop-butyl, oxyfluorfen and the experimental herbicide CGA 82725. The population was also tested for cross-resistance to two sulfonylurea-type herbicides - chlorsulfuron and the experimental herbicide DPX-T6376. A population susceptible to diclofop-methyl was used as the controls in the tests. The two populations were treated with various rates of the herbicides during germination and at the two-leaf stage. The results show that the diclofop-methyl-resistant biotype was cross-resistant to fluazifop-butyl, CGA 82725, chlorsulfuron and DPX-T6376 but not to oxyfluorfen.



2021 ◽  
Author(s):  
PengLin Zhan ◽  
Xin Wei ◽  
Zhili Xiao ◽  
Xiaoling Wang ◽  
Shuaipeng Ma ◽  
...  

Abstract Grain size and grain number play extremely important roles in rice grain yield. Here, we identify GW10 , which encodes a P450 subfamily protein and controlls grain size and grain number by using Lemont ( tropical japonica ) as donor parent and HJX74 ( indica ) as recipient parent. The GW10 locus was mapped into a 20.1 kb region on the long arm of Chromosome 10. Lower expression of the gw10 in panicle is contributed to the shorter and narrower rice grain, and the increased number of grains per panicle. Furthermore, the higher expression levels of some of the brassinosteroid (BR) biosynthesis and response genes are associated with the NIL- GW10 , which strongly suggests that the GW10 is a key node in the brassinosteroid-mediated regulation of rice grain shape and grain number.



Rice ◽  
2016 ◽  
Vol 9 (1) ◽  
Author(s):  
Na Fang ◽  
Ran Xu ◽  
Luojiang Huang ◽  
Baolan Zhang ◽  
Penggen Duan ◽  
...  
Keyword(s):  


2007 ◽  
Vol 58 (3) ◽  
pp. 265 ◽  
Author(s):  
Catherine P. Borger ◽  
Abul Hashem

Applying glyphosate followed by a mixture of paraquat + diquat in the same season for pre-planting weed control may reduce the risk of developing resistance to either herbicide. Glasshouse and field experiments at Merredin and Beverly, Western Australia, were conducted over 2 seasons to determine the best herbicide application sequence, growth stage of annual ryegrass at which to apply the 2 herbicides, and application time and interval to be allowed between applications for optimum control of annual ryegrass (Lolium rigidum Gaud.). Annual ryegrass plants were treated at 3 growth stages with either glyphosate 540 g a.i./ha alone, paraquat + diquat 250 g a.i./ha alone, glyphosate followed by paraquat + diquat 250 g a.i./ha, or paraquat + diquat 250 g a.i./ha followed by glyphosate 540 g a.i./ha (the double knockdown treatment). The herbicides were applied at different times of the day, with varied intervals between herbicides when applied in sequence. The glasshouse experiment showed that herbicides in sequence more effectively killed annual ryegrass plants at the 3–6-leaf stage than a single application of either herbicide. Field experiments showed that applying glyphosate followed by paraquat + diquat provided 98–100% control of annual ryegrass plants when applied at the 3- or 6-leaf stage in 2002 and at all 3 growth stages in 2003. Generally, the sequence of paraquat + diquat followed by glyphosate was less effective than the reverse sequence, although the difference was not large. Averaged over 2 seasons, herbicides in sequence were most effective when the first herbicide was applied at the 3- or 6-leaf stage of annual ryegrass. An interval of 2–10 days between applications of herbicides was more effective than 1 day or less. The application time did not significantly affect the efficacy of double knockdown herbicides on annual ryegrass plants under field conditions.



1977 ◽  
Vol 17 (84) ◽  
pp. 112 ◽  
Author(s):  
JM Allen

Narrow-leafed lupins (Lupinus angustifolius) were grown at two densities in weed free conditions and with different levels of either capeweed (Arctotheca calendula) or annual ryegrass (Lolium rigidum). Capeweed that germinated six weeks before the lupins prevented grain production. Germinated with the lupins, 30 capeweed plants m-2 reduced grain yields by 20 per cent compared with 10 capeweed plants m-2, which was not significantly different from the weed free control. Thirty capeweed plants m-2 that germinated six weeks after the lupins did not reduce grain yields. Ryegrass reduced grain yields by 70 per cent when it germinated six weeks before the lupins. Germinated with the lupins, 90 ryegrass plants m-2 reduced grain yields by 47 per cent compared with the weed free control. Ninety ryegrass plants m-2 that germinated six weeks after the lupins did not reduce grain yield.



Author(s):  
Isabel Mora‐Ramirez ◽  
Heiko Weichert ◽  
Nicolaus Wirén ◽  
Claus Frohberg ◽  
Stefanie Bodt ◽  
...  


Author(s):  
Isabel Mora-Ramirez ◽  
Heiko Weichert ◽  
Nicolaus von Wiren ◽  
Claus Frohberg ◽  
Stefanie De-Bodt ◽  
...  


2019 ◽  
Vol 55 (No. 2) ◽  
pp. 61-69 ◽  
Author(s):  
Dorsaf Allel ◽  
Anis BenAmar ◽  
Mounawer Badri ◽  
Chedly Abdelly

Soil salinity is one of the main factors limiting cereal productivity in worldwide agriculture. Exploitation of natural variation in local barley germplasm is an effective approach to overcome yield losses. Three gene pools of North African Hordeum vulgare L. grown in Tunisia, Algeria and Egypt were evaluated at the reproductive stage under control and saline conditions. Assessment of stress tolerance was monitored using morphological, yield-related traits and phenological parameters of reproductive organs showing significant genetic variation. High heritability and positive relationships were found suggesting that some traits associated with salt tolerance could be used as selection criteria. The phenotypic correlations revealed that vegetative traits including shoot biomass, tiller number and leaf number along with yield-related traits such as spike number, one spike dry weight, grain number/plant and grain number/spike were highly positively correlated with grain yield under saline conditions. Hence, these traits can be used as reliable selection criteria to improve barley grain yield. Keeping a higher shoot biomass and longer heading and maturity periods as well as privileged filling ability might contribute to higher grain production in barley and thus could be potential target traits in barley crop breeding toward improvement of salinity tolerance. Multiple selection indices revealed that salt tolerance trait index provided a better discrimination of barley landraces allowing selection of highly salt-tolerant and highly productive genotypes under severe salinity level. Effective evaluation of salt tolerance requires an integration of selection indices to successfully identify and characterize salt tolerant lines required for valuable exploitation in the management of salt-affected areas.  



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