Estimating Arundo donax ramet recruitment using degree-day based equations

Spencer, David F.; Ksander, Gregory G.

doi:10.1016/j.aquabot.2006.06.001

Cited by 25 publications

(18 citation statements)

References 12 publications

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“…Growth rate increased linearly from T b to the optimal temperature with the greatest rate at 28 8C and 0 MPa. This agrees with an upper threshold estimate of 30 8C in Spencer and Ksander (2006). The mean T b estimate from lab data of 12.7 8C was high but within the range of 8-14 8C estimated by Spencer and Ksander (2006).…”

Section: Discussionsupporting

confidence: 79%

“…This agrees with an upper threshold estimate of 30 8C in Spencer and Ksander (2006). The mean T b estimate from lab data of 12.7 8C was high but within the range of 8-14 8C estimated by Spencer and Ksander (2006). One rhizome segment sprouted after 68 days at 10 8C.…”

Section: Discussionsupporting

confidence: 77%

“…Only one prior study was found in which A. donax emergence was described as a function of degree-days (Spencer and Ksander, 2006). Accumulated degree-days to new shoot emergence were calculated for each of six rhizomes using 7 8C as the lower threshold making direct comparisons to the present study difficult.…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Hydrothermal and thermal time models for the invasive grass, Arundo donax

Graziani

Steinmaus

2009

Aquatic Botany

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Section: Discussionsupporting

confidence: 79%

Section: Discussionsupporting

confidence: 77%

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Hydrothermal and thermal time models for the invasive grass, Arundo donax

Graziani

Steinmaus

2009

Aquatic Botany

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“…These features make the cultivation of giant reed advantageous from both an economic and energetic point of view even in marginal areas, where competition for land surfaces between food (or feed) and energy crops is not a critical issue. However, the interest in giant reed as an energy crop has increased only recently and this is probably the reason why process-based crop models for simulating this species are still not available, although a structural model (Thornby et al, 2007) and some phenological (Spencer and Ksander, 2006;Graziani and Steinmaus, 2009) and biometric (Pompeiano et al, 2013) relationships were proposed. Some peculiar features of giant reed (e.g., the presence of a rhizome and its role in determining the rate of stalk emission) make generic crop simulators (e.g., CropSyst, WOFOST, STICS) unsuitable, and attempts to target their calibration would likely lead to poor performance or to inconsistent parameterizations, potentially undermining model robustness (Confalonieri et al, 2010).…”

Section: Introductionmentioning

confidence: 98%

Reimplementation and reuse of the Canegro model: From sugarcane to giant reed

Stella

Francone

Yamaç

et al. 2015

Computers and Electronics in Agriculture

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“…Degree-days have been used in phenological analysis applied to different kind of crops, both in temperate zones (Narwal et al, 1986;Allen and O'brien, 1986;Undersander and Christiansen, 1986;Jones et al, 1991;Sharratt et al, 1989;Spencer et al, 2000;Spencer and Ksander, 2006) and in tropical zones as well (Lemos et al, 1997;McBeth et al, 2001;Bell and Wright, 1998;Jullien et al, 2008;Guan et al, 2009). Degree-days also have been used in insect phenology studies (Tokeshi, 1985;Lindblad and Sigvald, 1996;Hart et al, 1997;Broufas and Koveos, 2000;Milonas et al, 2001;Olsen, 2003;Hirata and Higashi, 2008;Kumral et al, 2008;Naves and Sousa, 2009;Nietschke et al, 2007;Elliot et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Comparison of eight degree-days estimation methods in four agroecological regions in Colombia

2012

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Eight methods were used to estimate degree-days in four Colombian localities. Four methods have been previously proposed in literature: Simple Sine, Double Sine, Simple Triangle, and Double Triangle methods. The other four methods are proposed in this research: Simple Logistic, Double Logistic, Simple Normal, and Double Normal. The estimation of the degree-days through hourly temperature values was used as the reference standard method, and the four localities from where the temperature values were taken were the municipalities of Cajicá (Cundinamarca), Santa Elena (Antioquia), Carepa (Urabá Antioqueño), and Ciudad Bolivar (Zona cafetera Antioqueña). Degree-days obtained by all methods under study were compared through linear regression to those obtained by the reference standard method. There were differences in the correlation of each method to the reference when compared within each region and among regions. The Simple Logistic and Double Logistic methods showed the best performance with acceptable R 2 values and considerably lower bias than the other methods. The poorest fit was found in Cajicá, where the average R 2 was 0.571. For the regions of Santa Elena and Carepa, the average R 2 was 0.756 and 0.733. The best fit was found in Ciudad Bolivar, with an average R 2 of 0.826.Key words: degree-days, thermal time, temperature threshold, statistical modeling. Comparação de oito métodos para calcular graus-dia em quatro regiões agroecológicas ResumoEstimativas de graus-dia foram obtidas pelos métodos de seno simples e duplo, triangulo simples e duplo, as quais são amplamente utilizadas. Quatro novos métodos foram propostos e avaliados nesta pesquisa: logística simples e dupla, normal simples e dupla, baseadas em regressão logística e distribuição normal. Registros horários de temperatura obtidos em Cajicá (Cundinamarca), Santa Elena (Antioquia), Carepa (Urabá Antioqueño) e Ciudad Bolivar (Região tradicional da cultura do café) foram utilizados para obter estimativas da soma térmica com maior precisão sendo, portanto, considerada como a referên-cia para comparação utilizando regressão linear. Foram constatadas diferenças entre o ajuste dos métodos dentro de cada região e entre regiões. Foram observados os maiores coeficientes de determinação (R 2 ), nos métodos de logística simples e logística dupla. O menor coeficiente de determinação, de 0,571, foi obtido em Cajicá enquanto nas regiões de Medellín e Carepa, o R 2 foi de 0,756 e 0,733 respectivamente. O melhor ajuste foi obtido em Ciudad Bolivar, com um R 2 igual a 0,826.Palavras-chave: graus-dia, tempo térmico, temperatura basal, modelagem estatística.

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Estimating Arundo donax ramet recruitment using degree-day based equations

Cited by 25 publications

References 12 publications

Hydrothermal and thermal time models for the invasive grass, Arundo donax

Hydrothermal and thermal time models for the invasive grass, Arundo donax

Reimplementation and reuse of the Canegro model: From sugarcane to giant reed

Comparison of eight degree-days estimation methods in four agroecological regions in Colombia

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