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

Adams, Taylor C.; Brye, Kristofor R.; Purcell, Larry C.; Ross, William T.; Gbur, E. E.; Savin, Mary C.

doi:10.2134/cftm2017.07.0047

Cited by 3 publications

(4 citation statements)

References 31 publications

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“…This was due to the G × E interaction so that each soybean varieties response differently to each soil types (Alam et al, 2019). The relationship between productivity and soil was very complex and highly dependent on the physical, chemical and biological nature of the soil and external factors (Adams, 2016;Sys et al, 1991).…”

Section: Resultsmentioning

confidence: 99%

Soybean varieties suitability in agroforestry system with kayu putih under influence of soil quality parameters

et al. 2020

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Soybean varieties suitability in agroforestry system with kayu putih under influence of soil quality parameters 1 The existence of soybean varieties and soil type interaction causes differences in productivity of soybean varieties in agroforestry systems with kayu putih. Soil quality parameters (physical, chemical and biological characteristics) will affect the productivity of soybean varieties. The objective of this study was to reveal the relationship between soil quality parameters with soybean varieties suitability in agroforestry system with kayu putih over three locations in which their soil type were different, i.e. Lithic Haplusterts, Ustic Epiaquerts and Vertic Haplustalfs. The study was conducted from May to August, 2018 in Menggoran Forest Resort, Playen District, Gunungkidul Regency, Special Province of Yogyakarta, Indonesia. The highest yield of soybean per hectare on Dering I grown in Lithic Haplusterts and Ustic Epiaquerts was 1.38 and 1.27 tons.ha -1 , respectively, while Grobogan in Ustic Epiaquerts 1.24 tons.ha -1 . Dering I showed the mean of the highest yield and most suitable in all soil types, while Gema showed the mean of the lowest yield and not suitable in all soil types. Soil quality parameters that had a significant influenced on the production of soybean varieties in agroforestry systems with kayu putih were chemical characteristic consisting of availability of P, Mg, NH 4 + , Mn and Ca.

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Section: Resultsmentioning

confidence: 99%

Soybean varieties suitability in agroforestry system with kayu putih under influence of soil quality parameters

et al. 2020

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“…To illustrate, using an average harvest index of 0.53 for Arkansas rice (Karki et al., 2021) and the average grain yield from this study (9.79 Mg ha −1 ) (Table 2), there was roughly 5000 kg straw residue ha −1 left in the field after harvest. In comparison with a rice‐soybean rotation and assuming a harvest index of 0.37 (Adams et al., 2018) and average soybean yield (www.uaex.uada.edu, 2022) of 3.360 Mg ha −1 , there would be only about 1000 kg residue ha −1 remaining in the field after the soybean phase of rotation. Additionally, the amount of soybean residue left during the fallow period is likely less because soybean residues decompose faster than rice straw (Gilmour et al., 1998; Nishimura et al., 2011).…”

Section: Discussionmentioning

confidence: 99%

Multiyear methane and nitrous oxide emissions in different irrigation management under long‐term continuous rice rotation in Arkansas

et al. 2023

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Rice paddies are one of the major sources of anthropogenic methane (CH 4 ) emissions. The alternate wetting and drying (AWD) irrigation management has been shown to reduce CH 4 emissions and total global warming potential (GWP) (CH 4 and nitrous oxide [N 2 O]). However, there is limited information about utilizing AWD management to reduce greenhouse gas (GHG) emissions from commercial-scale continuous rice fields. This study was conducted for five consecutive growing seasons (2015-2019) on a pair of adjacent fields in a commercial farm in Arkansas under long-term continuous rice rotation irrigated with either continuously flooded (CF) or AWD conditions. The cumulative CH 4 emissions in the growing season across the two fields and 5 years ranged from 41 to 123 kg CH 4 -C ha −1 for CF and 1 to 73 kg CH 4 -C ha −1 for AWD. On average, AWD reduced CH 4 emissions by 73% relative to CH 4 emissions in CF fields. Compared to N 2 O emissions, CH 4 emissions dominated the GWP with an average contribution of 91% in both irrigation treatments. There was no significant variation in grain yield (7.3-11.9 Mg ha −1 ) or growing season N 2 O emissions (−0.02 to 0.51 kg N 2 O-N ha −1 ) between the irrigation treatments. The yield-scaled GWP was 368 and 173 kg CO 2 eq. Mg −1 season −1 for CF and AWD, respectively, showing the feasibility of AWD on a commercial farm to reduce the total GHG emissions while sustaining grain yield. Seasonal variations of GHG emissions observed within fields showed total GHG emissions were predominantly influenced by weather (precipitation) and crop and irrigation management. The influence of air temperature and floodwater heights on GHG emissions had high degree of variability among years and fields. These findings demonstrate that the use of multiyear GHG emission datasets could better capture variability of GHG emissions associated with rice production and could improve field verification of GHG emission models and scaling factors for commercial rice farms.

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“…In recent studies, earlier planting dates have been conclusively demonstrated to be associated with increased seed yield for the Midsouth region (Salmeron et al, 2014), with early indeterminate MG4 genotypes providing the highest and most stable seed yield (Salmeron et al, 2014;Salmerón et al, 2016). Because of the demonstrated benefits of the ESPS, adoption of this method has been increasing among producers in the Midsouth region (Adams et al, 2018). Seed development is more vulnerable to elevated temperatures than vegetative tissues (Fukushima, Kusano, Redestig, Arita, & Saito, 2009) and the reproductive optimum for soybean has been reported to be between 22 and 24˚C (Hatfield et al, 2011).…”

Section: Core Ideasmentioning

confidence: 99%

“…In recent studies, earlier planting dates have been conclusively demonstrated to be associated with increased seed yield for the Midsouth region (Salmeron et al., 2014), with early indeterminate MG4 genotypes providing the highest and most stable seed yield (Salmeron et al., 2014; Salmerón et al., 2016). Because of the demonstrated benefits of the ESPS, adoption of this method has been increasing among producers in the Midsouth region (Adams et al., 2018).…”

Section: Introductionmentioning

confidence: 99%

Quantitative trait locus mapping for resistance to heat‐induced seed degradation and low seed phytic acid in soybean

2021

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Soybean [Glycine max (L.) Merr.] reproductive structures are temperature‐sensitive, with a reproductive optimum of 22 to 24 °C. Currently, parts of the US soybean growing region experience consistent late‐season drought stress, resulting in the adoption of agronomic practices that favor early maturity groups. This approach is the Early Soybean Production System and has boosted yields and on‐farm returns on investment. However, seeds produced under this system develop under higher temperatures than standard practices, and frequently have decreased seed quality, loss of value, and unacceptable germination rates. Climate change may result in more widespread late‐season drought and elevated temperatures during seed filling. The ancestors of all modern US high‐yielding soybean lines lack substantial resistance to heat‐induced seed degradation, but an unadapted plant introduction (PI 587982A) can maintain ∼95% quality and germination under the same conditions. Inconsistent germination and emergence defects are associated with increased bioavailable phosphorus and reduced phytic acid. To evaluate these traits’ interaction, a backcross recombinant inbred line population was developed, and emergence and germination were evaluated in seed produced in six greenhouse and field environments. Two mutant alleles (lpa1a and lpa2a) were linked to decreased germination and emergence; this effect was pronounced under elevated temperatures. A novel major‐effect heat tolerance quantitative trait locus derived from PI 587982A was identified and found to be associated with positive effects on overall germination and emergence. These results open the potential application of marker‐assisted selection for tolerance to elevated temperatures and may accelerate the development of germplasm and cultivars with high‐quality seed.

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

Cited by 3 publications

References 31 publications

Soybean varieties suitability in agroforestry system with kayu putih under influence of soil quality parameters

Soybean varieties suitability in agroforestry system with kayu putih under influence of soil quality parameters

Multiyear methane and nitrous oxide emissions in different irrigation management under long‐term continuous rice rotation in Arkansas

Quantitative trait locus mapping for resistance to heat‐induced seed degradation and low seed phytic acid in soybean

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