Growth of Corn Seedlings: Effects of Night Temperature Under Optimum Soil Moisture or Under Drought Conditions

Grzesiak, S.; Major, D. J.; Rood, Stewart B.; Frhyman, S.

doi:10.4141/cjps81-130

Cited by 7 publications

(7 citation statements)

References 3 publications

(3 reference statements)

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“…There was nearly a sevenfold variation in the UI (~20 to 135 h [0.8 to ~6 d]) in these experiments. Most of this variation was related to the time it took the seedlings to emerge (T 10 ) as reported previously for corn (Mock and Erbach, 1977; Grzesiak et al, 1981) and soybean (Muendel, 1986; Egli et al, 2010). Seed vigor level was also important; the UI of the low‐vigor samples was always larger than UI of the high vigor samples regardless of the time it took them to emerge.…”

Section: Discussionmentioning

confidence: 52%

“…Uniformity is also aff ected by the time of seedling emergence. Low temperature slowed emergence of corn seedlings and decreased the uniformity of emergence (Mock and Erbach, 1977;Grzesiak et al, 1981). When soybean seedlings emerged rapidly there was essentially no eff ect of seed vigor on uniformity, but as the time to 50% emergence increased, uniformity decreased (Egli et al, 2010).…”

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confidence: 99%

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Seed Vigor and the Uniformity of Emergence of Corn Seedlings

Egli

Rucker

2012

Crop Science

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Seed vigor is defined as those "seed properties that determine the potential for rapid, uniform emergence and development of seedlings under a wide range of field conditions." Seedlings from high-vigor seed lots are expected to emerge more uniformly than those from low-vigor lots. We tested this hypothesis in a series of greenhouse and growth chamber experiments with several high-and low-vigor corn (Zea mays L.) samples that had high standard germination. Seed-vigor levels were estimated with the saturated cold test where the seeds were stressed with low temperature (10°C) and field soil for 7 d and then germination was measured after 5 d at 25°C. The uniformity index (Ul) (time from 10 to 90% of final emergence) was estimated by planting seeds 3.8 cm deep In soil and counting emergence every 6 h in greenhouse and growth chamber experiments. Lowering the soil temperature from roughly 23 to 15°C increased the time to 10% of final emergence ij^^ from about 100 to more than 300 h and increased the Ul. Low-vigor seed always had a larger Ul than high-vigor seed, but the difference was less when the seedlings emerged rapidly (Uls were 20 to 30 h) than when they emerged slowly (maximum of -80 h for high-vigor seed and 140 h for low-vigor seed). High-vigor seed had more uniform emergence, but soil temperature and the time to emergence also influenced uniformity.

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Section: Discussionmentioning

confidence: 52%

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confidence: 99%

Seed Vigor and the Uniformity of Emergence of Corn Seedlings

Egli

Rucker

2012

Crop Science

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“…Seed setting reduces from 65% at 27 °C (maximum temperature) to 8% at 38 °C (Lonnquist & Jugenheimer, 1943). Thirdly, at high temperatures, there is less availability of assimilates for grain filling owing to high respiration rates (Duncan, 1975), which reduces the grain yield (Grazesiak et al 1981).…”

Section: Sowing Datesmentioning

confidence: 99%

Response of maize cultivars to sowing in the winter

et al. 1987

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“…The estimated optimum temperatures for growth (TB) were 27.2 • C for corn (complete data), 32.5 • C for grain sorghum, 30.4 • C for alfalfa and 29.1 • C for soybean. Several researchers have reported optimum temperatures for growth in corn to be 22.5 • C (Wilhelm et al, 1999) and 25 • C (Grzesiak et al, 1981). CERES-Maize uses 26 • C as the optimum temperature for growth (Jones et al, 1986) while Yang et al (2004) currently use 30 • C in the Hybrid Maize model for maximum growth and assimilation.…”

Section: Estimates and Reasonablenessmentioning

confidence: 99%

Calibration of a crop model to irrigated water use using a genetic algorithm

Bulatewicz¹,

Jin²,

Staggenborg³

et al. 2009

Preprint

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Abstract. Near-term consumption of groundwater for irrigated agriculture in the High Plains Aquifer supports a dynamic bio-socio-economic system, all parts of which will be impacted by a future transition to sustainable usage that matches natural recharge rates. Plants are the foundation of this system and so generic plant models suitable for coupling to representations of other component processes (hydrologic, economic, etc.) are key elements of needed stakeholder decision support systems. This study explores utilization of the Environmental Policy Integrated Climate (EPIC) model to serve in this role. Calibration required many facilities of a fully deployed decision support system: geo-referenced databases of crop (corn, sorghum, alfalfa, and soybean), soil, weather, and water-use data (4931 well-years), interfacing heterogeneous software components, and massively parallel processing (3.8×109 model runs). Bootstrap probability distributions for ten model parameters were obtained for each crop by entropy maximization via the genetic algorithm. The relative errors in yield and water estimates based on the parameters are analyzed by crop, the level of aggregation (county- or well-level), and the degree of independence between the data set used for estimation and the data being predicted.

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Growth of Corn Seedlings: Effects of Night Temperature Under Optimum Soil Moisture or Under Drought Conditions

Abstract: t'Ph\'totron' Luhorotot't, lnstitute o.f Plurtt P/r,r'srologr', Polish Acudemt tl Stientes, Kn*otr,. Polund, utul

Cited by 7 publications

References 3 publications

Seed Vigor and the Uniformity of Emergence of Corn Seedlings

Seed Vigor and the Uniformity of Emergence of Corn Seedlings

Response of maize cultivars to sowing in the winter

Calibration of a crop model to irrigated water use using a genetic algorithm

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