Weed Management, Tillage, and Crop Rotations in Dryland Farming Systems

2000 ◽  
pp. 79-88
1997 ◽  
Vol 12 (3) ◽  
pp. 98-99
Author(s):  
James F. Parr ◽  
Robert I. Papendick

Six papers in this issue were presented by Middle Eastern authors at the U.S.-Middle East Conference and Workshop on "Dryland Farming Systems and Technologies for a More Sustainable Agriculture," held at Moscow, Idaho on October 18–23, 1993.


2015 ◽  
Vol 95 ◽  
pp. 54-61 ◽  
Author(s):  
Amaia Albizua ◽  
Alwyn Williams ◽  
Katarina Hedlund ◽  
Unai Pascual

Weed Science ◽  
1999 ◽  
Vol 47 (2) ◽  
pp. 175-183 ◽  
Author(s):  
George O. Kegode ◽  
Frank Forcella ◽  
Sharon Clay

Approaches to crop production that successfully reduce weed seed production can benefit farming systems by reducing management inputs and costs. A 5-yr rotation study was conducted in order to determine the effects that interactions between crop rotation, tillage, and amount of herbicide and fertilizer (management inputs) have on annual grass and broad-leaved weed seed production and fecundity. There were 10 crop rotation and tillage system combinations and three levels of management inputs (high, medium, and low). Green and yellow foxtail were the major weed species, and together they yielded between 76 and 93% of collected weed seeds. From 1990 to 1994, average grass weed seed productions were 7.3 by 103, 3.7 by 1036.1 by 103and 5.7 by 103seeds m−-2, whereas average broad-leaved weed seed productions were 0.4 by 103, 0.4 by 103, 1.4 by 103, and 0.4 by 103seeds m−-2in crop rotations using conventional tillage (moldboard plow), conservation tillage, no tillage, and ridge tillage, respectively. Crop rotations using conventional or ridge tillage consistently produced more grass and broad-leaved weed seeds, especially in low-input plots. There was little difference in weed seed production among input levels for crop rotations using conservation tillage. Comparing rotations that began and ended with a corn crop revealed that by increasing crop diversity within a rotation while simultaneously reducing the amount of tillage, significantly fewer grass and broad-leaved weed seeds were produced. Among the rotations, grass and broad-leaved weed fecundity were highly variable, but fecundity declined from 1990 to 1994 within each rotation, with a concomitant increase in grass and broad-leaved weed density over the same period. Crop rotation in combination with reduced tillage is an effective way of limiting grass and broad-leaved weed seed production, regardless of the level of management input applied.


2003 ◽  
Vol 11 ◽  
pp. 7-12
Author(s):  
C.D. Brown ◽  
R.B. Green

The dryland regions of New Zealand suffer from summer moisture deficits in the majority of years. These dryland regions have been developed along the same basis as other farming regions, with increasing fertiliser usage leading to more subdivision and higher stocking rates. Given the exposure to droughts, the production per head of these regions has been extremely variable. Historically, dryland farming systems have been based around breeding ewe systems with all lambs finished if the season allowed. Since the removal of all Government support during adverse events, in the early 1990s, farm systems have become considerably more diverse. Irrigation areas have doubled between 1985 and 1999 to approximately 500 000 hectares. Both sub clover and lucerne have been used extensively in dryland areas, but the main legume is still white clover. Farmers recognise the significant limitations in the ability of white clovers to cope with summer droughts, but have not been able to efficiently utilise other legumes, which require unique management to perform. There are a number of reasons for this. Looking forward, the five key roles that legumes have in dryland farming systems are, to persist within a general purpose pasture, to produce nitrogen, to improve summer feed quality, to improve year round quality feed through specialist crops and pastures and to provide specialist composite feeds (i.e. condensed tannins). With the increased diversity in farming systems, growers require a more diverse range of legumes from perennial species to annuals that will fit a short-term high feed quality niche.


2021 ◽  
Vol 3 (1) ◽  
pp. 22
Author(s):  
Pubudu Kumara ◽  
Kandiah Pakeerathan ◽  
Liyanage P. P. Deepani

Green gram (Vigna radiata (L.) R. Wilczek) is one of the most economically important grain legumes of the traditional farming systems of Sri Lanka because it is a cheap source of protein and animal feed, and sustains soil fertility by fixing atmospheric nitrogen. Weeds are one of the major problems in green gram cultivation, reducing the yield through competition, interference with harvest and harboring pests and diseases. Controlling of weeds by applying herbicides would definitely cause unexpected damage to human health and the abundant biodiversity of Sri Lanka. Therefore, an investigation was planned to evaluate the yield loss due to weeds and to determine the optimum weed free period to minimize the yield losses. Two experiments were performed. The first experiment was conducted to determine the effects of different weed functional groups on the yield of green gram. In the second experiment, weeds were continuously hand weeded and areas kept weed free. In the third, weeds were allowed to compete with green gram until 2, 3, 4, 5 or 6 weeks after cultivation. All the treatments were conducted in randomized complete block design with three replicates. The data collected on types of weed, number of pods and pod weight at 3–6 weeks after planting (WAP) were analyzed using the SAS 9.4 statistical package, and DMRT was performed to determine the best treatment combination. The results from the first experiment showed that average yield loss due to total weed populations was 54.77%. Yield loss due to grasses alone was 46.56%, far worse than broad leaves (16.49%) and sedges (18.01%) at p < 0.05. Crop stand count at 3–4 WAP was not significantly different among treatments. However, biomass weight of 50 plants, number of pods in 50 plants and grain weight of 10 plants were found to be significantly different after 3–4 WAP in weed free conditions at p < 0.05%. When the weed free period increased, the yield was increased until 3 WAP; thereafter, not significant yield increment was observed. In contrast, yield steeply declined in plots that had weeds until 3 WAP. According to the results of the present study, it can be concluded that the critical weed free period from the planting of green gram is 3 WAP. Maintaining a weed free period for 3–4 weeks is recommended to minimize the yield loss of green gram at minimal weed management cost.


Agronomy ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 548 ◽  
Author(s):  
Panagiotis Kanatas ◽  
Ilias S. Travlos ◽  
Ioannis Gazoulis ◽  
Alexandros Tataridas ◽  
Anastasia Tsekoura ◽  
...  

Decision support systems (DSS) have the potential to support farmers to make the right decisions in weed management. DSSs can select the appropriate herbicides for a given field and suggest the minimum dose rates for an herbicide application that can result in optimum weed control. Given that the adoption of DSSs may lead to decreased herbicide inputs in crop production, their potential for creating eco-friendly and profitable weed management strategies is obvious and desirable for the re-designing of farming systems on a more sustainable basis. Nevertheless, it is difficult to stimulate farmers to use DSSs as it has been noticed that farmers have different expectations of decision-making tools depending on their farming styles and usual practices. The function of DSSs requires accurate assessments of weeds within a field as input data; however, capturing the data can be problematic. The development of future DSSs should target to enhance weed management tactics which are less reliant on herbicides. DSSs should also provide information regarding weed seedbank dynamics in the soil in order to suggest management options not only within a single period but also in a rotational view. More aspects ought to be taken into account and further research is needed in order to optimize the practical use of DSSs for supporting farmers regarding weed management issues in various crops and under various soil and climatic conditions.


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