Geographical Variation of Climate Change Impact on Rice Yield in the Rice-Cropping Areas of Northeast China during 1980–2008

Liu, Zhenhuan; Yang, Peng

doi:10.3390/su8070670

Cited by 4 publications

(3 citation statements)

References 40 publications

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“…This suggests it could be possible to breed for a genotype optimized for the performance of all three of these traits by making crosses between accessions of these two clusters. Previous analysis has shown that the most productive rice systems worldwide tend to be at higher latitudes, where the plant can maximize productivity under longer daylength (Liu et al, 2016). Interestingly, the frequency distributions of accessions in Cluster 3 peaked at fewer days to maturity—indicating a shorter growing season—and at higher latitudes than the other two clusters (Figure 3).…”

Section: Discussionmentioning

confidence: 99%

Evaluating natural variation, heritability, and genetic advance of photosynthetic traits in rice (Oryza sativa)

et al. 2021

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Despite significant advances to harvest index and interception efficiency, photosynthesis has remained largely unimproved through conventional breeding approaches. However, increasing photosynthetic efficiency is a key method for enhancing crop productivity, yield, and sustainability. In this study, photosynthetic and morphological traits were characterized in indica rice to examine natural variation and the potential for hybridization in the future. Additionally, broad‐sense heritability (H2) was calculated for photosynthetic traits, including, for the first time, biochemical limitations to photosynthesis. Heritability was high for CO2 assimilation in saturating light and [CO2] (Amax; H2 = .65), the maximum rate of carboxylation (Vc,max; H2 = .63), the maximum rate of electron transport (Jmax; H2 = .68), and triosephosphate utilization (TPU; H2 = .73). Genetic advances of up to 17.7% were estimated, suggesting that it would be possible to not only select for the improvement of biochemical components of photosynthesis but also achieve significant gains in one generation. Heritability was low for CO2 assimilation at ambient [CO2] in saturating light (Asat; H2 = .22), suggesting that rising [CO2] may increase heritability for photosynthesis in rice.

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Section: Discussionmentioning

confidence: 99%

Evaluating natural variation, heritability, and genetic advance of photosynthetic traits in rice (Oryza sativa)

et al. 2021

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“…The considerable agro-irrigation activities are probably the main cause of the relatively lower correlation (Table 1), and lower coefficient of determination for both SPI and SPEI ( Table 2). The relative positive response of rice yield to drought conditions may be as explained by Liu et al [43] and Yin et al [21], who indicated that climate warming has made the crop growing season longer in Northeast China, which results in some high-yielding varieties with a longer growth duration. Table 2.…”

Section: Drought Impact On the Main Cereal Crop Yieldsmentioning

confidence: 99%

Assessment of Drought Impact on Main Cereal Crops Using a Standardized Precipitation Evapotranspiration Index in Liaoning Province, China

et al. 2016

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Abstract:Global warming has resulted in increasingly frequent and severe drought and/or precipitation events. Severe drought limits crop water availability and impacts agricultural productivity and socioeconomic development. To quantify drought-induced yield loss during the main crop stages in Liaoning province, China, aspects of drought episodes (magnitude, duration, and frequency) were investigated during the period 1960-2015 using the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI), respectively. Then the relationship between the SPI/SPEI and the standardized yield residuals series (SYRS), and the drought-induced yield loss were analyzed for maize, rice, sorghum, soybean, and millet. Liaoning underwent a province-wide increase in temperature, reduced precipitation, and reduced reference crop evapotranspiration. As expected, Liaoning experienced province-wide meteorological drying trends during the main crop growth stages, while the drought frequency, duration, and magnitude were not as serious as revealed by using the SPI. As compared to the SPI, the SPEI considering potential evapotranspiration explained 39%-78% yield variability of SYRS and evaluated the drought-induced yield loss more accurately. The increased drought frequency mainly affected the rain-fed crops (maize, sorghum, soybean, and millet), while it did not reduce irrigated rice production. No major impact was exerted on the rain-fed crops caused by mild drought. However, severe drought (SPEI < −1.0) markedly reduced yield performance, in particular at the anthesis-silking stage for maize, the jointing-booting stage for sorghum, the flowering-podding stage for soybean, and the sowing-milking stage for millet. It is concluded that the SPEI is a more useful measure for the identification of drought episodes and the assessment of drought impact on agricultural production in Liaoning province.

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“…However, while farmers will take measures to reduce the harm of climate change to crops and reduce the negative impact of climate change, farmers will seize climate change opportunities and fully use its beneficial impact. Adjusting planting strategies during crop production and adopting appropriate management measures and technologies are inevitable choices for managing climate change [47].…”

Section: Theoretical Basismentioning

confidence: 99%

Effects of climate and price on soybean production: Empirical analysis based on panel data of 116 prefecture-level Chinese cities

et al. 2023

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This paper uses panel data from 116 prefecture-level cities in China from 2003 to 2019 to study the impact of price and climate factors on soybean planting area and yield per unit area in China. We adopt the panel instrumental variable method to control the endogeneity of the price in the regression and allow possible spatial autocorrelation errors. According to the research results, price is the primary factor affecting soybean production. For every 1% increase in soybean prices, the soybean planting area increases by 1.650%, and the per unit yield decreases by 0.898%. As for fertilizer prices, for every 1% increase in fertilizer prices, the soybean planting area will decrease by 2.616%, and the yield per unit area will increase by 0.819%. At the same time, climate change will also significantly affect soybean production. For every 1 cm increase in precipitation in April and May, the soybean planting area will increase by 0.233% and decrease by 0.172%, respectively. The precipitation increase in June and July can also significantly promote soybean yield. The results demonstrate that because soybean is a shade-loving crop, the increase of growing degree days will hinder the progress of soybean yield.

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Geographical Variation of Climate Change Impact on Rice Yield in the Rice-Cropping Areas of Northeast China during 1980–2008

Cited by 4 publications

References 40 publications

Evaluating natural variation, heritability, and genetic advance of photosynthetic traits in rice (Oryza sativa)

Evaluating natural variation, heritability, and genetic advance of photosynthetic traits in rice (Oryza sativa)

Assessment of Drought Impact on Main Cereal Crops Using a Standardized Precipitation Evapotranspiration Index in Liaoning Province, China

Effects of climate and price on soybean production: Empirical analysis based on panel data of 116 prefecture-level Chinese cities

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