Response of Soybean Yield to Daytime Temperature Change during Seed Filling: A Long-Term Field Study in Northeast China

Zheng, Haifeng; Chen, Liding; Han, Xiaofei

doi:10.1626/pps.12.526

Cited by 16 publications

(9 citation statements)

References 24 publications

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“…Recent analysis of long-term data for in the Corn Belt of the United States showed that temperature rises during summer had negative impacts on soybean yield, causing a 16％ reduction in yield per 1℃ increase in temperature (Kucharik and Serbin, 2008). In contrast, Zheng et al (2009) reported from long term field experiments from 1987 to 2007 in northeastern China that the seed yield of soybeans increased by 6-10％ per 1℃ increase in mean daily maximum temperature during seed filling. Wolf et al (1982) reported that protein concentration in soybean seeds that developed at a range of different average temperatures between 15.5℃ and 27.5℃ in controlled environmental chambers was relatively stable but increased significantly at 30.5℃.…”

Section: Introductionmentioning

confidence: 85%

Effects of elevated CO2 concentration and temperature on seed production and nitrogen concentration in soybean (Glycine max (L.) Merr.)

Kumagai

Tacarindua

Homma

et al. 2012

J. Agric. Meteorol.

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The effects of elevated carbon dioxide concentration ([CO 2 ]) and temperature and their interactions on leaf photosynthesis, reproductive processes, seed weight and seed nitrogen concentration ([N]) of soybeans (Glycine max (L.) Merr.) were investigated using temperature gradient chambers. Plants were grown under four regimes comprising two levels of [CO 2 ], ambient (LC) and ambient＋ 200 μmol mol -1 (HC), and two levels of temperature, low (LT) and high (HT, LT＋～3℃). Plant and seed weights were significantly increased by elevated [CO 2 ] in both temperature regimes. Increased seed weight under elevated [CO 2 ] was mainly because of the production of more nodes and seeds per plant. Increased temperature significantly increased the number of seeds per plant but decreased individual seed weight in both [CO 2 ] regimes. Increased temperature therefore had no effect on seed weight. The increased seed number per plant in the HT regimes resulted from increased pod numbers per node. The light-saturated photosynthetic rate increased with increasing [CO 2 ] and temperature, presumably resulting in more seeds per plant. The reduction in individual seed weight with increased temperature was attributed mainly to lower individual seed growth rate and fewer cotyledon cells per seed. The reduction in individual seed weight with increased temperature was less pronounced in the HC regime than in the LC regime, and there was a significant interaction between [CO 2 ] and temperature. However, there was no interaction between [CO 2 ] and temperature for seed weight. Neither individual effects nor interaction of [CO 2 ] and temperature were observed for seed [N]. This study raises the possibility that projected increases in atmospheric [CO 2 ] during the 21st century will increase the yield of soybeans without decreasing seed [N] in regions that have near or below optimum temperatures (near 25℃ or above) for soybean yield.

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Section: Introductionmentioning

confidence: 85%

Effects of elevated CO2 concentration and temperature on seed production and nitrogen concentration in soybean (Glycine max (L.) Merr.)

Kumagai

Tacarindua

Homma

et al. 2012

J. Agric. Meteorol.

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“…Saitoh et al (1998) also reported increased soybean seed yields with higher temperature. Zheng et al (2009) concluded that grain yields increased by 6 to 10% for each 1°C increase in daily maximum temperature during seed filling, but temperature above the optimum could reduce soybean growth and yield.…”

Section: Environmental Factorsmentioning

confidence: 99%

“…They also noted that increase in maximum temperature from 32 to 37°C, during full bloom (R2) to seed initiation (R5), decreased seedling dry weight and seed oil content. Temperature during seed filling has showed greatest impact on soybean seed yield (Zheng et al, 2009; Mishra and Cherkauer, 2010).…”

Section: Environmental Factorsmentioning

confidence: 99%

Effect of Planting Date on Soybean Growth, Yield, and Grain Quality: Review

Wiatrak

2012

Agronomy Journal

101

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Delayed planting date and unfavorable environmental conditions have a negative effect on soybean [Glycine max (L.) Merr.] growth, development, and yield. Changes in photoperiod, temperature, and precipitation with delayed planting affect the duration of vegetative and reproductive stages, number of branches and pods, plant height, leaf area index (LAI), and normalized difference vegetation index (NDVI), and hence the grain yield. Delayed planting can also affect the soybean seed quality by changing the oil and protein content. Environmental factors like extremely high temperature and drought stress, which are often associated with delayed planting, have also a negative effect on plant development and yield. Compared to optimum air temperature, reduction in photosynthetic rate during heat stress decreases seed set and size, and seed yield. Drought stress during reproductive stages reduces carbon dioxide exchange rate (CER), photosynthesis, sugar production, and flow of metabolites to the expanding cells, which increases flower and pod abortion and decreases vegetative growth, duration of the seed filling stage, seed number, and seed size. Generally, the combined effect of photoperiod, temperature, and precipitation with delayed planting most likely contributes to decreased duration of vegetative and reproductive growth stages, reduced photosynthesis and plant growth, and therefore significant reduction in grain yield of soybean.

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“…The study also reveals an oasis is suitable for cotton seeds to enhance productivity and selection of dates for sowing seeds in an oasis of arid regions in northwest China (Huang and Ji, 2014). Zheng et al (2016) Effect of climate change on fruit explain the effects of daytime temperature on soybean seeds, seeds filling in daytime temperature over the period 1987-2007. The study also reveals the enhancement of soybean yield during daytime temperature in Northeast China. Nawaz et al (2019) describe the quality of kinnow fruit in different climatic regions, effects of abiotic and biotic stress, thermal effects on fruits in Vehari and Toba Take Singh like pests and fruit fly in May and June, better quality predictions in Sargodha which shows a difference in the quality of kinnow in different climatic regions.…”

Section: Introductionmentioning

confidence: 90%

Effect of climate change on fruit by co-integration and machine learning

Khan

Qiu

Banjar

et al. 2021

IJCCSM

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Purpose The purpose of this paper is to assess the impacts on production of five fruit crops from 1961 to 2018 of energy use, CO2 emissions, farming areas and the labor force in China. Design/methodology/approach This analysis applied the autoregressive distributed lag-bound testing (ARDL) approach, Granger causality method and Johansen co-integration test to predict long-term co-integration and relation between variables. Four machine learning methods are used for prediction of the accuracy of climate effect on fruit production. Findings The Johansen test findings have shown that the fruit crop growth, energy use, CO2 emissions, harvested land and labor force have a long-term co-integration relation. The outcome of the long-term use of CO2 emission and rural population has a negative influence on fruit crops. The energy consumption, harvested area, total fruit yield and agriculture labor force have a positive influence on six fruit crops. The long-run relationships reveal that a 1% increase in rural population and CO2 will decrease fruit crop production by −0.59 and −1.97. The energy consumption, fruit harvested area, total fruit yield and agriculture labor force will increase fruit crop production by 0.17%, 1.52%, 1.80% and 4.33%, respectively. Furthermore, uni-directional causality is correlated with the growth of fruit crops and energy consumption. Also, the results indicate that the bi-directional causality impact varies from CO2 emissions to agricultural areas to fruit crops. Originality/value This study also fills the literature gap in implementing ARDL for agricultural fruits of China, used machine learning methods to examine the impact of climate change and to explore this important issue.

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Response of Soybean Yield to Daytime Temperature Change during Seed Filling: A Long-Term Field Study in Northeast China

Cited by 16 publications

References 24 publications

Effects of elevated CO2 concentration and temperature on seed production and nitrogen concentration in soybean (Glycine max (L.) Merr.)

Effects of elevated CO2 concentration and temperature on seed production and nitrogen concentration in soybean (Glycine max (L.) Merr.)

Effect of Planting Date on Soybean Growth, Yield, and Grain Quality: Review

Effect of climate change on fruit by co-integration and machine learning

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