Hydrothermal Emergence Model for Ripgut Brome (<i>Bromus diandrus</i>)

García, Addy; Guinjuan, Jordi Recasens; Forcella, Frank; Torra, Joel; Royo‐Esnal, Aritz

doi:10.1614/ws-d-12-00023.1

Cited by 39 publications

(36 citation statements)

References 24 publications

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“…The functional relationship between CE and hydrothermal time (HTT) was obtained applying the sigmoid Chapman equation described by García et al . () for B. diandrus :

y = 100 {(1 - false[exp {- 0.013 x} false])}^{21.4389}

where y is the percentage of CE after the first autumnal rains, and x is time expressed as HTT degrees.…”

Section: Methodsmentioning

confidence: 99%

Integrated management of Bromus diandrus in dryland cereal fields under no‐till

et al. 2014

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Summary As herbicides have limited effect in controlling Bromus diandrus in no‐till dryland cereal fields, the integration of chemical and cultural methods needs to be investigated. A field study was carried out in Lleida (Spain) during 2008–09, 2009–10 and 2010–11 seasons, in a no‐till winter cereal field integrating delayed crop sowing with herbicides in a barley–wheat–wheat rotation. Three crop sowing dates were considered: D1, mid‐October; D2, mid‐November; and D3, early December, and the herbicides mesosulfuron‐methyl plus iodosulfuron‐methyl‐sodium were applied in wheat. Weed density, cumulative emergence and fecundity were estimated for each sowing date. In all three seasons, a significant reduction in the cumulative emergence of B. diandrus as compared to D1 was observed in D2 (82.0, 97.5 and 98.1%) and D3 (80.8, 98.7 and 97.2%). In addition, a significant decrease in weed density and seed rain was observed across all sowing dates and seasons. The herbicide used in wheat was more effective under delayed sowing, due to lower weed density and presence of less developed weed seedlings. After three seasons, the populations of B. diandrus were completely depleted in D2 and D3. This study demonstrates the possibility of eliminating brome infestations in dryland cereal fields in no‐till systems through the integration of cultural and chemical strategies.

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“…The functional relationship between CE and hydrothermal time (HTT) was obtained applying the sigmoid Chapman equation described by García et al . () for B. diandrus :

y = 100 {(1 - false[exp {- 0.013 x} false])}^{21.4389}

where y is the percentage of CE after the first autumnal rains, and x is time expressed as HTT degrees.…”

Section: Methodsmentioning

confidence: 99%

Integrated management of Bromus diandrus in dryland cereal fields under no‐till

et al. 2014

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“…Moreover, hydrothermal time models (or soil moisture based corrected thermal time models) have been developed to predict the emergence of several weeds such as Galium spp. (Royo-Esnal et al, 2010), Bromus diandrus (García et al, 2013) and Lolium rigidum (Izquierdo et al, 2013). Although these models have been developed to predict emergence to control these weeds, they might also be used to better decide when to sow them as a crop.…”

Section: Introductionmentioning

confidence: 99%

Emergence of field pennycress (Thlaspi arvense L.): Comparison of two accessions and modelling

Royo‐Esnal

Ņečajeva

Torra

et al. 2015

Industrial Crops and Products

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a b s t r a c tMany weed species are becoming rare due to intense agricultural management, which leads to a decrease of biodiversity in agroecosystems. Cultivating some of these species for their oilseed content may help preserve them while profiting agronomically. Thlaspi arvense is one of these species with potential as an industrial crop. The aim of this work was to develop a model to describe the emergence of this species, and that can help to make decisions for its management, whether for conservation or production purposes. The emergence of two accessions of T. arvense, one from Spain and the other from USA, sown in Spain (Almenar) and USA (Morris), over two seasons (2011-12 and 2012-13) and in Riga (Latvia) over one season (2012), was followed to compare patterns and extent, as well as to develop emergence prediction models based on hydrothermal time (HTT) and photohydrothermal time (PhHTT). For the USA accession, the percentage of seeds that emerged was significantly higher than that of the Spanish accession. Both accessions presented two emergence peaks (autumn-winter and spring) in both localities, but while these peaks could be considered as two different flushes in Almenar -for both accessions -, they appeared to be a single flush disrupted by low winter temperatures in Morris. An HTT-based model was applicable for both accessions with less precision than the PhHTT-based one, which was more accurate in most cases but failed in certain circumstances for the USA accession. The differences in emergence percentage among accessions suggest that some accessions might be more amenable to being used as a crop. The two models developed in this work predicted the emergence of both accessions of T. arvense quite accurately. The inclusion of photoperiod in the hydrothermal time equation, creating a new unit that we have called photohydrothermal time, offers a possibility to obtain more accurate models.

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“…(Dahal and Bradford 1990), potato (Alvarado and Bradford 2002), carrot and onion (Rowse and Finch-Savage 2003) and zucchini (Atashi et al 2014a), as well as in weedy species, for example, Orobanche aegyptiaca (Kebreab and Murdoch 1999), Stellaria media L. (Grundy et al 2000), winterfat (Krascheninnikovia lanata (Pursh) A.D.J. Meeuse & Smit) (Wang 2005), Ambrosia trifida L. (Schutte et al 2008) and Bromus diandrus Roth (Garcia et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Hydrothermal time analysis of watermelon (Citrullus vulgaris cv. ‘Crimson sweet’) seed germination

et al. 2014

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Mavi K., 2010. The relationship between seed coat color and seed quality in watermelon Crimson sweet. Hort. Sci. (Prague), 37: 62-69. This work was carried out to determine the relationship between seed coat color and seed quality in Crimson sweet watermelon. Seed lots (1, 2, 3, and 4) were prepared taking into consideration seed coat colors in fresh seeds with naked eye. The color parameters of these prepared seed lots were determined using Minolta colorimeter. To determine quality differences between the seed lots, standard germination test, seed weight, water uptake ratio, mean germination time, emergence percentage, mean emergence time, seedling fresh weight, seedling dry weight and electrical conductivity values were determined. The seed weight (57.22 mg), germination percentage (86.5%), emergence percentage (77.5% total and 76.5% normal), seedling fresh weight (978.7 mg), and dry weight (64.7 mg) of the brown seed lot (Lot 1) were markedly higher than lots having lighter seed coat (2, 3, and 4). On the other hand the mean emergence time (7.7 days) and electrical conductivity value (128.8 µS/cm g in 24 h) of the brown seed lot (Lot 1) were lower than lots having lighter seed coat (2, 3, and 4). The obtained data indicated that seed quality differences can be determined according to the seed coat color of Crimson sweet seeds. It was found that seed lot 1 had higher seed vigor and viability than seed lots 2, 3, and 4. Color parameters b*, C*, L*, and H°, determined by Minolta colorimeter, showed significant correlation with seeds quality parameters.

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Hydrothermal Emergence Model for Ripgut Brome (Bromus diandrus)

Cited by 39 publications

References 24 publications

Integrated management of Bromus diandrus in dryland cereal fields under no‐till

Integrated management of Bromus diandrus in dryland cereal fields under no‐till

Emergence of field pennycress (Thlaspi arvense L.): Comparison of two accessions and modelling

Hydrothermal time analysis of watermelon (Citrullus vulgaris cv. ‘Crimson sweet’) seed germination

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