Modeling seedling emergence

Forcella, Frank; Arnold, R. L. Benech; Sánchez, Rodolfo A.; Ghersa, Claudio M.

doi:10.1016/s0378-4290(00)00088-5

Cited by 476 publications

(464 citation statements)

References 52 publications

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“…This awareness induced increasing interest in the development of models that can simulate seedling emergence and the potential benefits, but also challenges, of their adoption were recognised and thoroughly reviewed (Forcella et al 2000;Grundy 2003). Several models have been created for seedling emergence of various weed species in the main crops such as maize (Dorado et al 2009a;Masin et al 2012), soybean Werle et al 2014) or winter cereals (Royo-Esnal et al 2010, 2015García et al 2013;Izquierdo et al 2013).…”

mentioning

confidence: 99%

Base temperatures for germination of selected weed species in Iran

Loddo¹,

Ghaderi–Far²,

Rastegar³

et al. 2018

Plant Prot. Sci.

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Loddo D., Ghaderi-Far F., Rastegar Z., Masin R. (2018): Base temperatures for germination of selected weed species in Iran. Plant Protect. Sci., 54: 60-66.Weed emergence models require the estimation of base temperature for germination (t b ) that was estimated for abutilon theophrasti, echinochloa crus-galli, amaranthus retroflexus, sorghum halepense, amaranthus albus, and amaranthus hybridus in Iran, to calibrate an existing model called AlertInf. Two statistical procedures were adopted: Model 1 -linear regression of germination rate and Model 2 -probit analysis. Model 1 provided lower t b values. abutilon theophrasti and a. hybridus presented lower t b values (about 4 and 8°C), while the remaining species had values above 10°C. Since the estimated values of t b were in agreement with those adopted for the Alertinf model in Italy, the first step was achieved to adapt AlertInf to Iranian conditions.

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mentioning

confidence: 99%

Base temperatures for germination of selected weed species in Iran

Loddo¹,

Ghaderi–Far²,

Rastegar³

et al. 2018

Plant Prot. Sci.

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“…Singh and Kumar (2013) have had a similar observation in the subtropical region of India where they reported that the inter row spacing with reduced canopy closure facilitated weeds to establish and dominate the area. In this study, 64,800 and 86,400 plants ha -1 had relatively lower weed seedlings population than the lowest population of 43,200 plants ha -1 , probably due to early canopy closure where the shading effect might limit the availability of resources required for weed germination (Takim, 2012) although Forcella et al (2000) have concluded that it is difficult to identify the major factor that determines the emergence and population of different weed species in relatively short-term studies.…”

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confidence: 70%

Impact of Plant Population and Weed Control Methods on the Growth, Yield and Economic Potential of Sugarcane (Saccharum officinarum L.) Cultivation

Takim

Suleiman

2018

Planta daninha

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-Sugarcane industries are faced with the challenges of reduced cane yield due to inability to ascertain an appropriate sugarcane planting density. Field trials were conducted at Bacita, southern Guinea savanna of Nigeria to examine appropriate planting density and weed control method that can minimize weed infestation in sugarcane field and give an optimum cane yield to improve the economic status of the sugarcane farming community. The experiment was established as a randomized complete block design in a split-plot arrangement with three replications. The main plot constituted four planting populations (43,200, 64,800, 86,400 and 108,800) plants ha -1 while the sub-plot consisted of six weed control practices (weedy check, pre-emergence application of terbuthylazine at 2.0 kg a.i. ha -1 + three supplementary hoe weeding (SHW), post emergence application of ametryn at 3.0 kg a.i. ha -1 + two SHW., post emergence application of dicamba at 0.5 kg a.i. ha -1 + two SHW., pre emergence application of terbuthylazine at 2.0 kg a.i. ha -1 + post emergence application of 2.4-D at 3.0 kg a.e. ha -1 and monthly hoe weeding). The study revealed that fifteen weed species were encountered as the most prevalent weed species in sugarcane ecology. Plant population of 108,800 plants ha -1 had the lowest weed seedlings population with highest cane yield (216.03 tons ha -1 ), production efficiency of 9.20% and benefit cost ratio of US$ 9.86 on every US$ 1 spent. This study concludes that, the adoption of 86,400-108,800 plants ha -1 of sugarcane and pre emergence application of terbuthylazine at 2.0 kg a.i. ha -1 + three SHW (for small scale growers) or pre emergence application of Terbuthylazine at 2.0 kg a.i. ha -1 + post emergence application of 2.4-D at 3.0 kg a.e. ha -1 for the commercial estates will minimize weed infestation and make sugarcane cultivation a profitable venture.Keywords: terbuthylazine, dicamba, ametryn, weeds. (43.200, 64.800, 86.400 e 108.800) RESUMO -As indústrias de cana-de-açúcar enfrentam os desafios da redução do

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“…and large crabgrass [Digitaria sanguinalis (L.) Scop.] (Benech Arnold et al 1990aArnold et al , 1990bForcella et al 2000;King and Oliver 1994). Daily maximum soil temperature was the primary factor influencing daily temperature fluctuation, as evidenced by the strong association between the two variables (r = 0.98, P < 0.001), indicating that greater daily maximum soil temperature is more influential on daily soil temperature fluctuation than daily minimum soil temperature, which has been reported previously (Perreault et al 2013).…”

Section: Resultsmentioning

confidence: 99%

Giant Ragweed (Ambrosia trifida) Emergence Model Performance Evaluated in Diverse Cropping Systems

Goplen¹,

Becker

Moon

et al. 2017

Weed Sci

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Accurate weed emergence models are valuable tools for scheduling planting, cultivation, and herbicide applications. Multiple models predicting giant ragweed emergence have been developed, but none have been validated in diverse crop rotation and tillage systems, which have the potential to influence weed emergence patterns. This study evaluated the performance of published giant ragweed emergence models across various crop rotations and spring tillage dates in southern Minnesota. Across experiments, the most robust model was a mixed-effects Weibull (flexible sigmoidal function) model predicting emergence in relation to hydrothermal time accumulation with a base temperature of 4.4 C, a base soil matric potential of −2.5 MPa, and two random effects determined by overwinter growing degree days (GDD) (10 C) and precipitation accumulated during seedling recruitment. The deviations in emergence between individual plots and the fixed-effects model were distinguished by the positive association between the lower horizontal asymptote (Drop) and maximum daily soil temperature during seedling recruitment. This finding indicates that crops and management practices that increase soil temperature will have a shorter lag phase at the start of giant ragweed emergence compared with practices promoting cool soil temperatures. Thus, crops with earlyseason crop canopies such as perennial crops and crops planted in early spring and in narrow rows will likely have a slower progression of giant ragweed emergence. This research provides a valuable assessment of published giant ragweed emergence models and illustrates that accurate emergence models can be used to time field operations and improve giant ragweed control across diverse cropping systems. Nomenclature: Giant ragweed, Ambrosia trifida L. AMBTR.

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Modeling seedling emergence

Cited by 476 publications

References 52 publications

Base temperatures for germination of selected weed species in Iran

Base temperatures for germination of selected weed species in Iran

Impact of Plant Population and Weed Control Methods on the Growth, Yield and Economic Potential of Sugarcane (Saccharum officinarum L.) Cultivation

Giant Ragweed (Ambrosia trifida) Emergence Model Performance Evaluated in Diverse Cropping Systems

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