Yield Response to Planting Date Among Soybean Maturity Groups for Irrigated Production in the US Midsouth

Salmerón, Montserrat; Gbur, Edward E.; Bourland, F. M.; Buehring, Normie W.; Earnest, Larry; Fritschi, Felix B.; Golden, Bobby R.; Hathcoat, Daniel; Lofton, Josh; McClure, Angela; Miller, Travis D.; Neely, Clark; Shannon, Grover; Udeigwe, Theophilus K.; Verbree, David A.; Vories, Earl D.; Wiebold, William J.; Purcell, Larry C.

doi:10.2135/cropsci2015.07.0466

Cited by 38 publications

(52 citation statements)

References 31 publications

(55 reference statements)

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“…Secondly, this study characterized both shoots as well as root growth and development to determine the temperature tolerance in the soybean cultivars. The present study evaluated soybean cultivars belonging to MG III, IV, and V, which are recommended ideal for the US Midsouth environments based on previous literature describing the interactive effects of agronomic practices, environments, and MG [2,16,19,20,[34][35][36]. The present study showed vigorous seedling growth in cultivars belonging MG IV and V when compared to MG III, which supports recent studies that favored MG IV and V to utilize under ESPS in the US Midsouth [2,19].…”

Section: Discussionsupporting

confidence: 86%

Evaluating Soybean Cultivars for Low- and High-Temperature Tolerance During the Seedling Growth Stage

et al. 2019

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Soybean (Glycine max L.) seedlings may be exposed to low or high temperatures under early or conventional soybean production systems practiced in the US Midsouth. However, a wide range of soybean cultivars commonly grown in the region may inherit diverse tolerance to degrees of temperatures. Therefore, a study was conducted in a controlled-environment facility to quantify 64 soybean cultivars from Maturity Group III to V, to low (LT; 20/12 °C), optimum (OT; 30/22 °C), and high (HT; 40/32 °C) temperature treatments during the seedling growth stage. Several shoot, root, and physiological parameters were assessed at 20 days after sowing. The study found a significant decline in the measured root, shoot, and physiological parameters at both low and high temperatures, except for root average diameter (RAD) and lateral root numbers under LT effects. Under HT, shoot growth was significantly increased, however, root growth showed a significant reduction. Maturity group (MG) III had significantly lower values for the measured root, shoot, and physiological traits across temperature treatments when compared with MG IV and V. Cultivar variability existed and reflected considerably through positive or negative responses in growth to LT and HT. Cumulative stress response indices and principal component analysis were used to identify cultivar-specific tolerance to temperatures. Based on the analysis, cultivars CZ 5225 LL and GS47R216 were identified as most sensitive and tolerant to LT, while, cultivars 45A-46 and 5115LL identified as most tolerant and sensitive to HT, respectively. The information on cultivar-specific tolerance to low or high temperatures obtained in this study would help in cultivar selection to minimize stand loss in present production areas.

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Section: Discussionsupporting

confidence: 86%

Evaluating Soybean Cultivars for Low- and High-Temperature Tolerance During the Seedling Growth Stage

et al. 2019

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“…A large planting date and soybean MG study was conducted at seven locations in 2012 and nine locations in and across the Midsouth. The locations were: Columbia, MO (38.9°N) 2016).…”

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confidence: 99%

Simplifying the prediction of phenology with the DSSAT-CROPGRO-soybean model based on relative maturity group and determinacy

Salmerón

Purcell

2016

Agricultural Systems

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The use of crop models can be limited by the need to calibrate cultivar coefficients across a sufficiently wide range of environments. DSSAT-CROPGRO-Soybean is a complex crop simulation model that considers different temperature and photoperiod sensitivities during different crop developmental stages and/or for different cultivars. The use of generic phenology coefficients specific for a range of maturity groups (MGs) could allow accurate predictions of main developmental stages in soybean. Phenology data collected in 2012 and 2013 from an irrigated regional planting-date experiment with maturity group (MG) 3 to 6 cultivars and latitudes from 30.6 to 38.9°N, were used to calibrate cultivar coefficients across all the environments. A set of generic coefficients were generated based on relative maturity group (rMG) and plant growth habit. Predictions of main developmental stages in the subsequent growing season (2014) using generic coefficients were similar to predictions based on calibrated coefficients, with a RMSE across all cultivars less than 8 days. Several calibrations of cultivar coefficients were conducted testing different hypotheses of sensitivity to temperature and photoperiod in the model. Surprisingly, after the calibration, the model predicted with similar RMSEs the day of R1, R5, and R7 under the different hypothesis of model sensitivity to photoperiod and temperature. Therefore, the use of an optimization tool for calibration across several site x year x planting dates was efficient to obtain cultivar coefficients that minimized error in prediction, but did not provide meaningful insight regarding the mechanistic function of temperature and photoperiod coefficients describing phenology prediction.

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“…Pairwise correlations between yield (lb/ac), seed growth rate (SGR, mg/seed / d), effective filling period (derived from SGR; EFP, d), dry matter allocation coefficient (DMAC, d -1 ), harvest index (HI, %), effective filling period 2 (derived from DMAC; EFP2, d), seed N concentration (%), average seed weight (ASW, mg), and planting day of year (PDOY, d). 2008; Salmerόn et al, 2016). However, DMAC had a weakly positive correlation to PDOY (p < 0.001; r = 0.40).…”

Section: Correlationsmentioning

confidence: 92%

Physiological Plant Response Differences among High‐ and Average‐Yield Soybean Areas in Arkansas

Adams

Brye

Purcell

et al. 2018

Crop Forage & Turfgrass Mgmt

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Core Ideas Crop yield contests provide a unique research opportunity. Planting date is highly related to yield across yield contest sites. An early soybean production system is advantageous for high yields. Increasing soybean [Glycine max (L.) Merr.] yields requires a multi‐pronged approach. Annual state soybean yield contest fields can provide information about yield potentials and plant response differences between high and average‐yield producing areas. The objectives of this study were to i) assess plant physiological property and elemental seed concentration differences between high‐ (HY) and average‐yield (AY) areas and across soybean growth stages and ii) evaluate relationships among plant properties and yield across the seven regions of the “Grow for the Green” soybean yield contest in Arkansas. Seed yields in AY and HY areas averaged 74.4 and 88.3 bu/ac, respectively, in 2015. Harvest index, average seed weight, and seed K concentration differed (p < 0.05) by at least 10% across growth stages and between yield areas. Averaged across growth stage, aboveground dry matter and seed B and C concentrations differed (p < 0.05) by at least 0.7% between yield areas across regions. Averaged across yield area, seed N, P, Ca, Fe, Mn, Zn, Cu, and B concentrations differed (p < 0.05) by at least 2.5% across growth stages. Planting date was most strongly correlated with yield (p < 0.001; r = –0.62), confirming previous research. Encompassing a wide variety of landscapes and management systems, results of this study validate the importance of planting date to soybean yield. Additional factors need to be evaluated to discover stronger relationships with yield to continue closing the soybean yield gap.

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Yield Response to Planting Date Among Soybean Maturity Groups for Irrigated Production in the US Midsouth

Cited by 38 publications

References 31 publications

Evaluating Soybean Cultivars for Low- and High-Temperature Tolerance During the Seedling Growth Stage

Evaluating Soybean Cultivars for Low- and High-Temperature Tolerance During the Seedling Growth Stage

Simplifying the prediction of phenology with the DSSAT-CROPGRO-soybean model based on relative maturity group and determinacy

Physiological Plant Response Differences among High‐ and Average‐Yield Soybean Areas in Arkansas

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