Modeling the Emergence of Three Arable Bedstraw (<i>Galium</i>) Species

Royo‐Esnal, Aritz; Torra, Joel; Conesa, J. A.; Forcella, Frank; Guinjuan, Jordi Recasens

doi:10.1614/ws-09-063.1

Cited by 39 publications

(45 citation statements)

References 26 publications

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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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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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“…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). These models are often based on the hydrothermal time concept (Bradford 2002) and require the estimation of biological parameters, base temperature, and base water potential for germination (t b and Y b hereinafter), to simulate seedling emergence according to weather trends.…”

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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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“…na qual: θH = 1, quando Ѱ>Ѱb; caso contrário θH = 0; e θT = T -Tb quando T>Tb, caso contrário θT = 0; Ѱ é o potencial médio diário da água na camada do solo; Ψb é o potencial de água base para emergência de plântulas; T é a temperatura média diária do solo na profundidade aferida e Tb é a temperatura de base para a emergência das plântulas (Martinson et al, 2007;Royo-Esnal et al, 2010). Com esta fórmula, o TH só é acumulado quando as condições Ѱ e T foram superiores a Ѱb e Tb.…”

Section: Procedimento Da Modelagem Utilizando O Tempo Hidrotérmicounclassified

Modelagem matemática do fluxo de emergência de plantas daninhas: ferramenta para decisão no manejo de cultivos

2018

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Resumo -O surgimento de biótipos de plantas daninhas resistentes a herbicida e o aumento da pressão social para reduzir sua utilização, criou a necessidade de desenvolver ferramentas para aperfeiçoar a aplicação de herbicidas e melhorar o controle de plantas daninhas. Desta forma, o desenvolvimento de modelos de emergência de plantas daninhas tornou-se crucial para o desenvolvimento de estratégias de gerenciamento em áreas agrícolas. Esta revisão tem por objetivo apresentar os fatores que influenciam o fluxo de emergência de plantas daninhas, os principais modelos utilizados, os procedimentos da modelagem e os impactos práticos de sua utilização no manejo. O fluxo de emergência das plantas daninhas correlaciona-se diretamente com padrões de resposta das sementes à interferência dos fatores ambientais e práticas culturais. Os modelos de emergência empíricos e mecanicistas desenvolvidos permitem prever a emergência de plantas daninhas em diferentes anos e regiões geográficas, baseados em condições climáticas e ecofisiológicas. Os modelos mecanicistas são mais complexos e permitem a melhor compreensão sobre a emergência de plantas daninhas, enquanto modelos empíricos apresentam a simplicidade e a flexibilidade necessária para a tomada de decisão de controle. O conhecimento do fluxo de emergência de plantas daninhas permite desenvolver estratégias de manejo que proporcionam maior habilidade competitiva à cultura e, em decorrência, menores perdas de produtividade; bem como a seleção de medidas de controle que diminuam a utilização de herbicidas, a contaminação ambiental e aprimorem as tecnologias utilizadas na agricultura. Palavras-chave: modelo empírico, gerenciamento, tempo hidrotérmico Abstract -The appearance of weed biotypes resistant to herbicides and the increase in social pressure to reduce its use, created the need to develop tools to refine herbicides application and improve weed control. In this way, the development of weed emergence models has become crucial for the development of management strategies in agricultural areas. The objective of this review is to show the factors that influence the emergence flow and the main models used to predict weed emergence, the procedures of modeling and the practical impacts of their use for weed management. The emergence flow of weeds correlates directly with seed response patterns to the interference of environmental factors and cultural practices. The developed empirical and mechanistic emergence models allow predict weeds emergence in different years and geographic regions, based on climatic and ecophysiological conditions. However, mechanistic models are more complex and allow better

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Modeling the Emergence of Three Arable Bedstraw (Galium) Species

Cited by 39 publications

References 26 publications

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

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

Base temperatures for germination of selected weed species in Iran

Modelagem matemática do fluxo de emergência de plantas daninhas: ferramenta para decisão no manejo de cultivos

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