Modeling responses of dryland spring triticale, proso millet and foxtail millet to initial soil water in the High Plains

Saseendran, S. A.; Nielsen, D. G.; Lyon, Drew J.; Li, Ma; Felter, Douglas G.; Baltensperger, David D.; Hoogenboom, Gerrit; Ahuja, L. R.

doi:10.1016/j.fcr.2009.04.008

Cited by 43 publications

(46 citation statements)

References 36 publications

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“…Several studies have tested the model on field research conducted in the Great Plains and Mississippi and extended the results for managing dryland and irrigated cropping systems across climates and soils (for example, Ma et al, 2003 [26]; Saseendran et al, 2005 [17], 2008 [27], 2009 [28]). Saseendran et al (2014) [29] modified the water stress factor for processes related to photosynthesis (SURFAC) in RZWQM2 using the daily potential root water uptake (TRWUP) calculated by the approach of Nimah and Hanks (1973) [30] and accounted for stress caused by additional heating of the canopy from unused energy of potential evaporation.…”

Section: Rzwqm2 Modelmentioning

confidence: 99%

Climate-Optimized Planting Windows for Cotton in the Lower Mississippi Delta Region

et al. 2016

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Unique, variable summer climate of the lower Mississippi (MS) Delta region poses a critical challenge to cotton producers in deciding when to plant for optimized production. Traditional 2-4 year agronomic field trials conducted in this area fail to capture the effects of long-term climate variabilities in the location for developing reliable planting windows for producers. Our objective was to integrate a four-year planting-date field experiment conducted at Stoneville, MS during 2005-2008 with long-term climate data in an agricultural system model and develop optimum planting windows for cotton under both irrigated and rainfed conditions. Weather data collected at this location from 1960 to 2015 and the CSM-CROPGRO-Cotton v4.6 model within the Root Zone Water Quality Model (RZWQM2) were used. The cotton model was able to simulate both the variable planting date and variable water regimes reasonably well: relative errors of seed cotton yield, aboveground biomass, and leaf area index (LAI) were 14%, 12%, and 21% under rainfed conditions and 8%, 16%, and 15% under irrigated conditions, respectively. Planting windows under both rainfed and irrigated conditions extended from mid-March to mid-June: windows from mid-March to the last week of May under rainfed conditions, and from the last week of April to the end of May under irrigated conditions were better suited for optimum yield returns. Within these windows, rainfed cotton tends to lose yield from later plantings, but irrigated cotton benefits; however, irrigation requirements increase as the planting windows advance in time. Irrigated cotton produced about 1000 kg·ha −1 seed cotton more than rainfed cotton, with irrigation water requirements averaging 15 cm per season. Under rainfed conditions, there is a 5%, 14%, and 27% chance that the seed cotton production is below 1000, 1500, and 2000 kg·ha −1 , respectively. Information developed in this paper can help MS farmers in decision support for cotton planting.

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Section: Rzwqm2 Modelmentioning

confidence: 99%

Climate-Optimized Planting Windows for Cotton in the Lower Mississippi Delta Region

et al. 2016

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“…Asimismo, Saseendran et al (2009) lograron producciones de 200 a 600 g m -2 de MS, en condiciones de baja y alta disponibilidad de agua en el perfil del suelo. Grassi et al (2007) encontró un rendimiento de materia seca de 315.91 g m -2 ± 67.83.…”

Section: Resultados Y Discusiónunclassified

“…Según el (Cuadro1), los índices de área foliar fueron del orden de 4.4 y 7.6 al final del primer corte y de 3.4 a 4.3 en el segundo y tercer corte (Cuadro 1). Saseendran et al (2009) reportó valores del orden de 1.5 a 3 de IAF a los 60 días después de siembra en triticale e indica que estas variaciones se deben a la alta o poca disponibilidad del agua en el perfil del suelo, el cultivo responde favorablemente a los niveles de humedad en el suelo, tiene un potencial como cultivo forrajero de corta estación y puede ser considerado para rotarse con otros cultivos.…”

Section: Resultsunclassified

“…According to (Table 1), leaf area index were in the order of 4.4 and 7.6 at the end of the first cut and 3.4 to 4.3 in the second and third cut (Table 1). Saseendran et al (2009) reported values of 1.5 to 3 IAF at 60 days after sowing, indicating that these variations are due to the high or low water availability in the soil profile; the crop responds favorably to soil moisture levels, it has potential as short season forage crop and can be considered for rotation with other crops.…”

Section: Resultsmentioning

confidence: 99%

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Productividad del agua en el cultivo de triticale (X. Triticosecale Wittmack) en La Comarca Lagunera de Coahuila, México

Trejo

Castruita

López

et al. 2017

Remexca

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“…1 Broomcorn millet has higher temperature requirements than foxtail millet and requires a base temperature of 10°C in order for plant growth to be initiated and sustained (Saseendran et al, 2009).…”

Section: Modeling Early Millet Agriculture On the Tibetan Plateaumentioning

confidence: 99%

Rethinking the spread of agriculture to the Tibetan Plateau

Guedes

2015

The Holocene

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New data from the Tibetan Plateau allow us to understand how populations dealt with the challenges of moving crops into altitudinally constrained environments. Despite the interest in explaining the timing and the mechanisms via which agricultural products spread to the roof of the world, current models for the spread of agriculture to this region have been simplistic and the presence of crop domesticates is often straightforwardly interpreted as indicating the existence of an agricultural system at the site. This is largely due to a fundamental lack of understanding of where crops could be grown in prehistory on the Plateau. Although it has generally been assumed that moving agriculture into this area was challenging, little work has specifically addressed the constraints imposed on humans as they moved crops into this area. Employing an agro-ecological niche model, I formally model the constraints that were faced by humans as they moved a series of crops into the Tibetan Plateau between the 4th and 1st millennium cal. BC. Based on the results of this analysis, I argue that the end of the climatic optimum meant that millet agriculture was no longer a viable strategy in many parts of the Eastern Himalayas. The arrival of frost tolerant crops in the 2nd millennium BC provided new opportunities in the cooler post climatic optimum world. These models further reveal that sites that have been previously considered as engaged directly in agricultural production may have been more distantly connected to an agricultural lifestyle than previously thought.

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Modeling responses of dryland spring triticale, proso millet and foxtail millet to initial soil water in the High Plains

Cited by 43 publications

References 36 publications

Climate-Optimized Planting Windows for Cotton in the Lower Mississippi Delta Region

Climate-Optimized Planting Windows for Cotton in the Lower Mississippi Delta Region

Productividad del agua en el cultivo de triticale (X. Triticosecale Wittmack) en La Comarca Lagunera de Coahuila, México

Rethinking the spread of agriculture to the Tibetan Plateau

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