Changes in the activities of starch metabolism enzymes in rice grains in response to elevated CO2 concentration.

The global atmospheric CO(2) concentration is currently (2012) 393.1 µmol mol(-1), an increase of approximately 42 % over pre-industrial levels. In order to understand the responses of metabolic enzymes to elevated CO(2) concentrations, an experiment was conducted using the Free Air CO(2) Enrichment (FACE )system. Two conventional japonica rice varieties (Oryza sativa L. ssp. japonica) grown in North China, Songjing 9 and Daohuaxiang 2, were used in this study. The activities of ADPG pyrophosphorylase, soluble and granule-bound starch synthases, and soluble and granule-bound starch branching enzymes were measured in rice grains, and the effects of elevated CO(2) on the amylose and protein contents of the grains were analyzed. The results showed that elevated CO(2) levels significantly increased the activity of ADPG pyrophosphorylase at day 8, 24, and 40 after flower, with maximum increases of 56.67 % for Songjing 9 and 21.31 % for Daohuaxiang 2. Similarly, the activities of starch synthesis enzymes increased significantly from the day 24 after flower to the day 40 after flower, with maximum increases of 36.81 % for Songjing 9 and 66.67 % for Daohuaxiang 2 in soluble starch synthase (SSS), and 25.00 % for Songjing 9 and 36.44 % for Daohuaxiang 2 in granule-bound starch synthase (GBSS), respectively. The elevated CO(2) concentration significantly increased the activity of soluble starch branching enzyme (SSBE) at day 16, 32, and 40 after flower, and also significantly increased the activity of granule-bound starch branching enzyme (GBSBE) at day 8, 32, and 40 after flower. The elevated CO(2) concentration increased the peak values of enzyme activity, and the timing of the activity peaks for SSS and GBSBE were earlier in Songjing 9 than in Daohuaxiang 2. There were obvious differences in developmental stages between the two varieties of rice, which indicated that the elevated CO(2) concentration increased enzyme activity expression and starch synthesis, affecting the final contents of starch and protein in the rice grains. Our results will provide a foundation for understanding the physiological mechanisms of rice yield under elevated atmospheric CO(2) concentrations.

[Soil Bacterial Community Structure and Function Prediction of Millet/Peanut Intercropping Farmland in the Lower Yellow River].

The objective of this study was to explore the microecological variability in farmland soil fertility in response to millet-peanut intercropping patterns by clarifying the effects of millet-peanut 4:4 intercropping on soil bacterial community structure and its diversity, as well as to provide a reference basis for promoting ecological restoration and arable land quality improvement in the lower Yellow River farmland. The Illumina MiSeq high-throughput sequencing technology and QIIME 2 platform were used to analyze the differences in bacterial community composition and their influencing factors in five soils[sole millet (SM), sole peanut (SP), intercropping millet (IM), intercropping peanut (IP), and millet-peanut intercropping (MP)] and to predict their ecological functions. The results showed that the α-diversity of intercropping soil bacterial communities differed from that of monocropping, though not significantly, whereas the ß-diversity was significantly different (P<0.05). A total of 7081 ASVs were obtained from all soil samples, classified into 34 phyla, 109 orders, 256 class, 396 families, 710 genera, and 1409 species, of which 727 ASVs were shared, accounting for 24.5% to 27.8% in five soil species. The bacterial communities of millet-peanut intercropping and its monocropping soils were similar in phylum composition but varied in relative abundance. All five soils were dominated by the Actinobacteria, Proteobacteria, Acidobacteria, and Chloroflexi, with a relative abundance of 79.40%-81.33%. Soil organic carbon and alkaline nitrogen were the most important factors causing differences in the structures of the five soil bacterial communities at the phylum and genus levels, respectively. The PICRUSt functional prediction revealed that the relative abundance of primary functional metabolism was the largest (78.9%-79.3%), and the relative abundance of secondary functional exogenous biodegradation and metabolism fluctuated the most (CV=3.782%). In terms of the BugBase phenotype, the relative abundance of oxidative stress-tolerant bacteria increased in intercropping millet or peanut soils compared to that in the corresponding monocultures and significantly increased in intercropping millet soils compared to that in sole millet (P<0.05). Oxidative stress-tolerant, Gram-positive, and aerobic phenotypes were highly significantly positively correlated with each other (P<0.01), and all three showed highly significant negative correlations with potential pathogenicity and Gram-negative and anaerobic phenotypes (P<0.01). This showed that millet-peanut intercropping resulted in differences in soil bacterial community diversity, abundance, and metabolic functions and the possibility of reducing the occurrence of potential soil diseases. It can be used to regulate the soil microbiological environment to promote ecological restoration and sustainable development of farmland in the lower Yellow River.

[Modelling the changes of soil organic carbon under different management practices using Daycent model in North China].

The Daycent model was calibrated and validated using measured crop yield and soil organic carbon (SOC) as double assessment standards based on the experimental data from three long-term experiments (i.e. Zhengzhou site in Henan Province, Yucheng site in Shandong Province and Quzhou site in Hebei Province) in North China. Results showed that the build-up parameters simulated the long-term dynamic changes of crop yields and SOC very well, indicating Daycent model could project the dynamic changes of crop yield and SOC soundly. After calibration and validation, Daycent model was used to simulate the changes of SOC under future climate scenarios (representative concentration pathway 4.5, RCP 4.5) with four different management practices (chemical fertilizer, NPK; chemical fertilizer + organic manure, MNPK; straw incorporation, SNPK; no-tillage +straw incorporation, NT) at the three sites. At Zhengzhou site, the change of SOC was highest for MNPK treatment during the period of 2001-2050 (1.7%) and followed by SNPK (1.3%) and NPK (0.8%) in terms of annual relative increase rate (ARIR), indicating long-term amendment of organic manure could effectively increase SOC for light loam soil with irrigation condition. At Yucheng site, the increase of SOC (ARIR) under MNPK treatment (0.4%) was higher than under NPK treatment (0.3%). In addition, the increase of SOC was very low under all treatments at this site, probably due to light soil salinization. At Quzhou site, the increase of SOC (ARIR) under NT treatment was 1.3%, higher than those under SNPK treatment (0.7%) and NPK treatment (0.4%), indicating NT was more effective for SOC increase in this area. We concluded that no-tillage with straw incorporation is the optimized management practice to increase SOC in North China Plain due to mild climate, sound irrigation and available mechanical equipment for straw processing and no-tillage operation.

[Effects of CO2 enrichment on grain quality of rice and wheat: a research review].

Crop grain quality is mainly depended on variety's genetic characteristics and environmental conditions, while elevated CO2 concentration in atmosphere, one of the main factors resulting in global climate change, would have a significant effect on crop grain quality. In this paper, the research progress on the effects of CO2 enrichment on rice and wheat grain quality was summarized from the aspects of protein and nitrogen contents, trace elements, and other characters, emphasized the necessity and urgency of the study in this field, and pointed out the key directions and contents of further study, i.e., (a) direct effects of CO2 enrichment on rice and wheat grain quality and their differences for different varieties, (b) integrated effects of CO2 enrichment and other climate factors on rice and wheat grain quality and their quantitative indices, (c) action mechanisms of CO2 enrichment and other climate factors on rice and wheat grain quality formation, (d) longterm directions and strategies of rice and wheat breeding in quality improvement to adapt climate change, (e) integrated planting technology systems in quality improvement for adapting climate change, and (f) application of molecule-marker and gene-transfer in rice and wheat breeding for quality improvement.