Heat Unit System for Predicting Optimum Peanut-Harvesting Time

Mills, William T.

doi:10.13031/2013.40765

Cited by 13 publications

(4 citation statements)

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“…The day after planting (DAP) and the growth stages corresponding to these four periods are also listed in Table 1. The Mill's Growing-Degree Day (GDD) method (Mills, 1964) was taken in the study, as it showed the best relationship with peanut maturity (Rowland et al, 2006). GDD was calculated as:…”

Section: Day Time Ecosystem Wue Calculations and Data Partitioningmentioning

confidence: 99%

“…This approach confers the ability to identify WUE characteristics for different accumulated growing degree days (aGDD). The aGDD or thermal units is an efficient method to predict peanut maturity (Mills, 1964;Emery and Gupton, 1968;Rowland et al, 2006). The objectives of the study were to examine the differences in the CO 2 flux, ET, and WUE of peanut measured between single-and twinrow planting patterns in different aGDD periods using the eddycovariance method.…”

Section: Introductionmentioning

confidence: 99%

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Influence of planting pattern on peanut ecosystem daytime net carbon uptake, evapotranspiration, and water-use efficiency using the eddy-covariance method

Zhang,

Leclerc,

Singh

et al. 2023

Front. Agron.

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Peanut is planted in a pattern of either single or twin rows in Georgia, USA. However, limited attention has been paid to the impact of planting pattern on the carbon footprint and how the net carbon uptake is intertwined with the amount of water used to determine the ecosystem water-use efficiency (WUE) in peanut. This paper reports on the relationship between the amount of carbon produced to the amount of water used in peanut, carbon dioxide flux, and crop evapotranspiration of peanut in a single- or in a twin-row planting pattern measured using the eddy-covariance method. To the best of our knowledge, the present study is unique in that it examines for the first time the effect of planting pattern on the net carbon uptake and WUE. The two-year study took place in contrasting weather conditions with the 2016 year experiencing a higher vapor pressure deficit and lower precipitation than in the 2018 year. In this study, field-scale daytime net carbon ecosystem exchange (CO2 fluxes), ET and WUE of single- and twin-row peanut were compared using the eddy-covariance technique. Results showed that in 2018, both the net carbon uptake from the atmosphere and the WUE of twin-row peanut were significantly greater than those in the single-row peanut by 7-10% and ~9% respectively, for pod filling and seed maturity growth stages (aGDD 1000-2000 and aGDD > 2000). In 2016, the net daytime carbon uptake and WUE of peanut were similar for both planting patterns during pod filling (aGDD 1000-2000). Higher precipitation and lower VPD in 2018 likely resulted in greater peanut yield in twin-row as compared to single-row with abundant precipitation. Owing to the fast canopy growth rate in twin-row peanut, results suggest that during the vegetative stage (aGDD<500) in 2016, both daytime net carbon uptake from the atmosphere and WUE were considerably greater in twin-row than single-row by 32% and 27%, respectively. Given that in both years, the ET from both planting patterns was similar, it appears that the determination of WUE in both planting patterns was more impacted by changes in daytime net carbon uptake than evapotranspiration. The results of this study suggest the possibility that the higher WUE at the critical stages of twin-row peanut in 2018 are likely to lead to greater yield than single-row peanut. This should be confirmed with further year-to-year investigations.

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Section: Day Time Ecosystem Wue Calculations and Data Partitioningmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Influence of planting pattern on peanut ecosystem daytime net carbon uptake, evapotranspiration, and water-use efficiency using the eddy-covariance method

Zhang,

Leclerc,

Singh

et al. 2023

Front. Agron.

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“…The growing degree days (GDDs) were calculated using the Mills' GDD method (Mills, 1964), as it is considered to have the best relationship with peanut maturity (Rowland et al, 2006). The Mills' GDD is calculated as follows: where, AT max = maximum daily air temperature AT max35 = maximum daily air temperature, limited to the threshold of 35 °C, AT min = minimum daily air temperature, ΔToc = ABS(AT max − 24.4).…”

Section: Ecosystem Water-use Efficiency and Growing Degree Daysmentioning

confidence: 99%

The impact of tillage practices on daytime CO2 fluxes, evapotranspiration (ET), and water-use efficiency in peanut

Bogati,

Leclerc,

Zhang

et al. 2023

Front. Agron.

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Peanut (Arachis hypogaea L.) growers use different tillage systems in the Southeastern United States, the impact of which needs to be assessed with regard to evapotranspiration (ET), carbon uptake, and water-use efficiency (WUE). The eddy-covariance method was used to measure these fluxes in peanut in two common tillage systems (strip tillage vs. conventional tillage) over the course of three consecutive growing seasons (2019–2021). Results suggest that during the dry year of 2019 with rainfall of only 30 cm, strip tillage peanut had a significantly higher daytime ecosystem WUE, 105%, 51%, and 32% higher than that of the conventional tillage in early, mid, and late growth stages, respectively. In 2020, with mean rainfall the overall difference in average WUE was nonsignificant between the tillage systems. Heavy rainfall of 112 cm in 2021 led to waterlogged conditions in the conventional tillage field due to poorer infiltration. This likely reduced the CO2 uptake. Waterlogging did not occur in the strip tillage field due to improved infiltration. As a result, in 2021, 18%, 33%, and 48% greater ecosystem WUE in strip tillage during early, mid, and later stages was found. Thus, this study suggests that strip tillage fields can achieve higher net CO2 uptake and WUE in Georgia during dry or very wet years. However, no difference in WUE was found between different tillage systems in a typical year with average rainfall for Georgia. The present study has implications for regions characterized by long growing seasons and low rainfall.

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“…Temperature is also an important environmental factor that affects plant growth development and yield. Heat unit concept has been applied to correlate pheonological development in crops to predict sowing dates (Mills, 1964). Therefore, in this paper thermal indices and heat use efficiency were used to identify suitable sowing window of sweet sorghum in Coimbatore district of Tamil Nadu.…”

Section: Heat Use Efficiency =mentioning

confidence: 99%

Thermal Indices for Suitable Sowing Window of Sweet Sorghum in Coimbatore District of Tamil Nadu

2010

MAJ

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Heat Unit System for Predicting Optimum Peanut-Harvesting Time

Cited by 13 publications

References 0 publications

Influence of planting pattern on peanut ecosystem daytime net carbon uptake, evapotranspiration, and water-use efficiency using the eddy-covariance method

Influence of planting pattern on peanut ecosystem daytime net carbon uptake, evapotranspiration, and water-use efficiency using the eddy-covariance method

The impact of tillage practices on daytime CO2 fluxes, evapotranspiration (ET), and water-use efficiency in peanut

Thermal Indices for Suitable Sowing Window of Sweet Sorghum in Coimbatore District of Tamil Nadu

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