Quantifying soil moisture deficit effects on soybean yield and yield component distribution patterns

Wijewardana, Chathurika; Reddy, K. Raja; Alsajri, Firas Ahmed; Irby, J. Trenton; Krutz, L. Jason; Golden, Bobby R.

doi:10.1007/s00271-018-0580-1

Cited by 55 publications

(48 citation statements)

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“…Environmental factors including temperature (Gibson & Mullen, 1996) and soil moisture (Wijewardana et al, 2018) during reproductive stages play an important role in the soybean production system. Soybean physicochemical parameters, including seed yield, protein, oil, fatty acid, and carbohydrates are sensitive to temperature.…”

Section: Introductionmentioning

confidence: 99%

Developing functional relationships between temperature and soybean yield and seed quality

et al. 2020

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Temperatures that vary spatially and temporally over the soybean growing areas affect soybean seed yield and quality. Five day/night temperature, 21/13, 25/17, 29/21, 33/25, and 37/29°C, effects on total biomass, yield, and seed quality parameters were investigated on indeterminate (Asgrow AG5332, AG) and determinate (Progeny P5333RY, PR) soybean cultivars. The cultivar × temperature interaction was significant for total biomass, seed yield, protein, oil, palmitic acid, oleic acid, linolenic acid, raffinose, and stachyose. Quadratic functions best described the response of yield to temperature, where the optimum temperature for maximum yield was 26°C for AG, and 23°C for PR. Temperature affected all seed quality parameters in both cultivars. Seed protein concentration was slightly higher at the two lower and higher temperatures than at 29/21°C. Seed oil concentration increased with temperature up to 26°C for AG and 25°C for PR and declined at higher temperatures. Palmitic acids showed quadratic responses to temperature with a significant interaction between cultivars, while stearic acid showed a similar quadratic response in both cultivars. Oleic acid increased with increasing temperature while linolenic and linoleic acids declined linearly with temperature. Sucrose concentration declined with an increase in temperature in both the cultivars. Raffinose and stachyose concentrations in the two cultivars responded differently to temperature and declined with increasing temperature. The effects of temperature on yield and seed quality that are described in this research can be used to improve crop growth models and the management of soybean under climate change.

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Section: Introductionmentioning

confidence: 99%

Developing functional relationships between temperature and soybean yield and seed quality

et al. 2020

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“…Moving from the highest point on the slope to the lowest point on the slope decreased LISR by 38,000 seeds ha −1 . In previously conducted studies, slope position was a good predictor of water availability (Hanna et al., 1982), and water availability has been observed to increase soybean yield (Wijewardana et al., 2018). Higher yielding areas would be expected to have a lower AOSR since they have a lower AOPD (Carciochi et al., 2019).…”

Section: Resultsmentioning

confidence: 93%

“…Concave points had a lower LISR than convex points. Concave points hold more water (Daniels, Gilliam, Cassel, & Nelson, 1987) and have been correlated with higher wheat ( Triticum aestivum L.) yield (Sinai et al., 1981), and water availability has also been found to improve soybean yield (Wijewardana et al., 2018).…”

Section: Discussionmentioning

confidence: 99%

“…Low yielding environments require higher plant densities, whereas lower plant densities are suitable for high yielding environments (Carciochi et al., 2019). Yield variation among soybean fields has been linked to tillage, drainage, planting date (Edreira et al., 2017), soil fertility (Brooker, Lindsey, Culman, Subburayalu, & Thomison, 2017), air temperature, light availability (Spaeth, Sinclair, Ohnuma, & Konno, 1987), water availability (Wijewardana et al., 2018), and soil map unit (Smidt, Conley, Zhu, & Arriaga, 2016), whereas within‐field yield variation has been attributed to elevation, soil organic matter (SOM), soil test potassium (STK), and soil test phosphorous (STP; Kravchenko & Bullock, 2000; Smidt et al., 2016). Since AOSR is variable, predicting where and how it is likely to vary can be useful for farmers utilizing variable rate seeding (VRS) technology.…”

Section: Introductionmentioning

confidence: 99%

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Soil and terrain properties that predict differences in local ideal seeding rate for soybean

et al. 2020

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The agronomic optimum seeding rate (AOSR) of soybean [Glycine max (L.) Merr.] varies based on environment. Understanding where AOSR varies within a field is useful for farmers utilizing variable rate seeding technology. An AOSR representing an area smaller than a whole field is referred to as local ideal seeding rate (LISR). The objective of this study was to identify soil and terrain properties that were most predictive of differences in LISR. Seeding rate trials were established at four fields in 2017 and three fields in 2018. Yield data were used to estimate LISR 33-68 times per field.Soil properties were estimated at the same scale as LISR using 0.2-ha grid samples and terrain properties were calculated from 0.76-m digital elevation model developed using light detection and ranging data. Random forest analysis was performed to identify which soil and terrain properties were predictive of LISR within each site-year. At all site-years, terrain properties were generally more predictive of LISR compared to soil properties. Valley depth and general curvature were in the top-five most predictive properties at four of seven site-years. Moving from the lowest valley to the highest ridge was associated with an increase in LISR of 76,000 seeds ha −1 . Moving from the lowest relative slope position to the highest relative slope position was associated with a 38,000 seeds ha −1 increase in LISR. Terrain properties may be appealing to farmers because they relate to LISR, are publicly available data, and stable over time.

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“…Before imposing drought stress at R1, experimental units were maintained at ambient conditions outside the SPAR units. Forty-one days after seeding (DAS) until physiological maturity, 126 DAS, the cultivars were placed in separate SPAR units and exposed to 5 different levels of drought stress, 100, 80, 60, 40, and 20% evapotranspiration (ET) replacement (Table 1) [20]. Parental lines self-fertilized under uniform SPAR conditions and generated 10 distinct F1 genetic lines, each representing a distinct cultivar by drought stress treatment.…”

Section: Methodsmentioning

confidence: 99%

Poor seed quality, reduced germination, and decreased seedling vigor in soybean is linked to exposure of the maternal lines to drought stress

Wijewardana

Reddy

Krutz

et al. 2019

Preprint

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Poor seed quality, reduced germination, and decreased seedling vigor in soybean is linked 1 to exposure of the maternal lines to drought stress 2 3 Abstract 18 Effects of environmental stressors on the parent may be transmitted to the F1 generation of 19 plants that support global food, oil, and energy production for humans and animals. This study 20 was conducted to determine if the effects of drought stress on parental soybean plants are 21 transmitted to the F1 generation. The germination and seedling vigor of F1 soybean whose 22 maternal parents, Asgrow AG5332 and Progeny P5333RY, were exposed to soil moisture stress, 23 that is, 100, 80, 60, 40, and 20% replacement of evapotranspiration (ET) during reproductive 24 growth, were evaluated under controlled conditions. Pooled over cultivars, effects of soil 25 moisture stress on the parents caused a reduction in the seed germination rate, maximum seed 26 germination, and overall seedling performance in the F1 generation. The effect of soil moisture 27 stress on the parent induced an irreversible change in the seed quality in the F1 generation and 28 the effects on seed quality in the F1 generation were exasperated when exposed to increasing 29 levels of drought stress. Results indicate that seed weight and storage reserve are key factors 30 influencing germination traits and seedling growth. Our data confirm that the effects of drought 31 stress on soybean are transferable, causing reduced germination, seedling vigor, and seed quality 32 in the F1 generation. 33 34 35Soybean [Glycine max (L.) Merr.] is a globally important annual crop, and one of the major 36 export commodities providing oil and protein for both human and animal food. It is the second 37 most planted field crop in the U.S. next to corn [1] and accounts for about 90% of U.S. oilseed 38 production. Hence, soybean production provides a substantial input to the economic structure of 39 the United States. 40 Soil moisture stress causes extensive losses to soybean production annually, and losses 41 due to drought stress are projected to increase due to climate change. Climate change models 42 indicate that historical precipitation patterns will change, and drought stress will become more 43 severe in soybean growing regions in the United States [2]. As soil moisture stress episodes are 44 remarkably aggravated, in recent years, greater importance has been directed to research on the 45 unfavorable effects of soil moisture stress on soybean crop performance and yield. 46It is well known that variations in environmental conditions such as photoperiod, water, 47 nutrient status, and solar radiation can have an effect on plant growth and development [3]; 48 however, we now understand that some effects of environmental stressors are transmittable and 49 have fitness and phenotype costs on the F1 generation [4,5,6]. For instance, Nosalewicz et al. [7] 50 reported that exposing barley (Hordeum vulgare (L.)) to drought stress during reproductive 51 stages decreased the shoot: root ratio...

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Quantifying soil moisture deficit effects on soybean yield and yield component distribution patterns

Cited by 55 publications

References 48 publications

Developing functional relationships between temperature and soybean yield and seed quality

Developing functional relationships between temperature and soybean yield and seed quality

Soil and terrain properties that predict differences in local ideal seeding rate for soybean

Poor seed quality, reduced germination, and decreased seedling vigor in soybean is linked to exposure of the maternal lines to drought stress

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