Improving soil quality while achieving higher productivity is the major challenge in the agricultural industry. Wheat (Triticum aestivum L.)–maize (Zea mays L.) (W–M) rotation is the dominant planting pattern in the Huang-Huai-Hai Plain and is important for food security in China. However, the soil quality is deteriorating due to the W–M rotation’s long-term, intensive, and continuous cultivation. Introducing legumes into the W–M rotation system may be an effective way to improve soil quality. In this study, we aimed to verify this hypothesis by exploring efficient planting systems (wheat–peanut (Arachis hypogaea L.) (W–P) rotation and wheat rotated with maize and peanut intercropping (W–M/P)) to achieve higher agricultural production in the Huang-Huai-Hai Plain. Using traditional W–M rotation as the control, we evaluated crop productivity, net returns, soil microorganisms (SMs), and soil organic carbon (SOC) fractions for three consecutive years. The results indicated that wheat yields were significantly increased under W–P and W–M/P (382.5–579.0 and 179.8–513.1 kg ha−1, respectively) compared with W–M. W–P
and W–M/P provided significantly higher net returns (58.2 and 70.4%, respectively) than W–M. W–M/P and W–M retained the SOC stock more efficiently than W–P, increasing by 25.46–31.03 and 14.47–27.64%, respectively, in the 0–20 cm soil layer. Compared with W–M, W–M/P improved labile carbon fractions; the sensitivity index of potentially mineralizable carbon, microbial biomass carbon (MBC), and dissolved organic carbon was 31.5, 96.5–157.2, and 17.8% in 20–40, 10–40, and 10–20 cm soil layers, respectively. The bacterial community composition and bacteria function were altered as per the soil depth and planting pattern. W–M/P and W–M exhibited similar bacterial community composition and function in 0–20 and 20–40 cm soil layers. Compared with W–P, a higher abundance of functional genes, namely, contains mobile elements and stress-tolerant, and a lower abundance of genes, namely, potentially pathogenic, were observed in the 10–20 cm soil layer of W–M and the 0–20 cm soil layer of W–M/P. SOC and MBC were the main factors affecting soil bacterial communities, positively correlated with Sphingomonadales and Gemmatimonadales and negatively correlated with Blastocatellales. Organic input was the main factor affecting SOC and SMs, which exhibited feedback effects on crop productivity. In summary, W–M/P improved productivity, net returns, and SOC pool compared with traditional W–M rotation systems, and it is recommended that plant–soil–microbial interactions be considered while designing high-yield cropping systems.
China has the most people with diabetes in the world (IDF 2021), and the promotion of a healthy diet is a key public health priority for controlling the prevalence of diabetes in China (Hu 2011). Rice (mainly white rice) is a staple food for more than 60% of the Chinese population (Hu and Sheng 2021). Because white rice has the husk, bran, and embryo completely removed during the milling process, it is low in the dietary fiber, micronutrients, and polyphenols that are conducive to glucose metabolism (Aryaeian et al. 2017; McRae et al. 2018; Barra et al. 2021). In addition, white rice is high in carbohydrates (starch) and generally has a high glycemic index (GI) (Atkinson et al. 2021), meaning that consumption in large amounts may cause high postprandial levels of blood glucose and insulin, and consequently reduce insulin sensitivity and pancreatic β-cell function (Livesey et al. 2019). These factors suggest that a higher consumption of white rice may increase the risk of diabetes.
Another rice trait that may lead to a high risk of diabetes associated with high white rice consumption is related to arsenic exposure. Compared to other cereal crops such as wheat and barley, rice is more efficient in the uptake and translocation of arsenic (Su et al. 2010), which is widely distributed in soil, water, and air and is highly toxic in its inorganic form (Chung et al. 2014). White rice has an inorganic arsenic (iAs) content more than 10 times higher than other cereals (TatahMentan et al. 2020). iAs exposure has been shown to increase insulin resistance and reduce pancreatic β-cell function by increasing cytokine levels, inhibiting proliferative-activated receptors, inducing oxidative stress, activating nuclear factor Kappa B, and increasing amyloid formation in the pancreas (Bell 2015). A positive dose-response relationship between the risk of diabetes and the amount of iAs exposure has been also found; namely, the risk of diabetes increases by 13% for each 100 µg L–1 increase of iAs in drinking water (Wang et al. 2014). Based on the average daily rice (mainly white rice) consumption rate per capita (210 g; OECD-FAO 2022), the recommended daily water intake rate (1.5–1.7 L; CNS 2022), and the average iAs content in white rice (103 µg kg–1; Li et al. 2011) in China, the estimated daily consumption of iAs in white rice is equivalent to 12.7–14.4 μg L–1 of iAs in drinking water, so the risk of diabetes increases by 1.7–1.9% due to iAs exposure from white rice consumption in China.
Several studies have investigated the association of diabetes risk with white rice consumption in China, but the results are inconsistent. For example, Villegas et al. (2007) carried out a prospective cohort study and found a relative diabetes risk of 1.78 among women who consumed 750 g d–1 of cooked rice (~250 g d–1 of uncooked rice) compared with 500 g d–1. Similarly, Hu et al. (2012) carried out a meta-analysis which showed that a higher risk of diabetes was associated with higher consumption of white rice in Asian populations, including Chinese people. However, more recently, Bhavadharini et al. (2020) conducted a Prospective Urban Rural Epidemiology study that found no significant association between the risk of diabetes and white rice consumption in China.
Nevertheless, the risk of diabetes associated with white rice consumption in China may be increasing due to changes in the socioeconomic and physical environments that are associated with rice production. First, as living standards improve, the demand for and consumption of high eating-quality rice, mainly soft-textured rice with low amylose content, has increased considerably in China (Huang and Hu 2021). To cater to the changing consumer needs, more new rice varieties with low amylose content have been developed and grown in China. For example, in the middle reaches of the Yangtze River, the average amylose content declined significantly from 20% in the rice varieties released during 2006–2009 to 16% in those released during 2019–2021 (Huang et al.
2022d). However, the development of low amylose rice in China has resulted in a substantial acceleration in the rate of digesting starch into glucose in cooked rice and consequently a higher GI (Huang et al. 2022a, b, c, e). Foods with a higher GI can cause increases in postprandial blood glucose and insulin levels, reductions in insulin sensitivity and pancreatic β-cell function, and hence increase the risk of diabetes (Livesey et al. 2019).
Second, climate warming is being documented around the world. An increase in temperature during the grain-filling period can result in a reduced grain amylose content in rice varieties with originally low amylose content (Zhong et al. 2005; Yamakawa et al. 2007; Yin et al. 2020; Huang et al. 2022a), because it can reduce both the activity of granule-bound starch synthase and the transfer of glucosyl residues from ADP-glucose to its glucan substrate, which consequently generates fewer amylose molecules (Zeeman et al. 2010; Ahmed et al. 2015). Moreover, climate warming can increase arsenic availability in soils and the iAs content in rice grains (Neumann et al. 2017; Muehe et al. 2019). Either the reduced amylose content or the increased iAs content in rice grains may lead to a higher risk of diabetes associated with rice consumption.
While white rice is low in dietary fiber, micronutrients, and polyphenols but high in carbohydrate (starch) and iAs, there is no consistent evidence that a higher risk of diabetes is associated with higher consumption of white rice in China. However, the development of rice varieties with low amylose content and climate warming may increase the risk of diabetes associated with white rice consumption in China by increasing the GI of cooked rice or/and increasing the iAs content in rice grains. This highlights the need to fully evaluate the individual and combined effects of the increases in GI and the iAs content on the risk of diabetes associated with white rice consumption. This evaluation should consider the potential change in per capita consumption of rice. With a shift to other types of food, such as meat and vegetables, the rice consumption rate per capita is experiencing a downward trend in China (Seck et al. 2012). In addition, it is also important to develop comprehensive crop, soil, and climate strategies to prevent an increase in the GI of cooked rice and an increase in the iAs content in rice grains, with the goal of avoiding the potentially increased risk of diabetes associated with white rice consumption.
Potato is one of the staple food crops in North China. However, potato production in this region is threatened by the low amount and high spatial-temporal variation of precipitation. Increasing yield and water use efficiency (WUE) of potato by various water management practices under water resource limitation is of great importance for ensuring food security in China. However, the contributions of different water management practices to yield and WUE of potato have been rarely investigated across North China’s potato planting region. Based on meta-analysis of field experiments from the literature and model simulation, this study quantified the potential yields of potatoes without water and fertilizer limitation, and yield under irrigated and rainfed conditions, and the corresponding WUEs across four potato planting regions including the Da Hinggan Mountains (DH), the Foothills of Yanshan hilly (YH), the North foot of the Yinshan Mountains (YM), and the Loess Plateau (LP) in North China. Simulated average potential potato tuber dry weight yield by the APSIM-Potato Model was 12.4 t ha–1 for the YH region, 11.4 t ha–1 for the YM region, 11.2 t ha–1 for the DH region, and 10.7 t ha–1 for the LP region, respectively. Observed rainfed potato tuber dry weight yield accounted for 61, 30, 28 and 24% of the potential yield in the DH, YH, YM, and LP regions. The maximum WUE of 2.2 kg m–3 in the YH region, 2.1 kg m–3 in the DH region, 1.9 kg m–3 in the YM region and 1.9 kg m–3 in the LP region was achieved under the potential yield level. Ridge-furrow planting could boost yield by 8–49% and WUE by 2–36% while ridge-furrow planting with film mulching could boost yield by 35–89% and WUE by 7–57% across North China. Our study demonstrates that there is a large potential to increase yield and WUE simultaneously by combining ridge-furrow planting with film mulching and supplemental irrigation in different potato planting regions with limited water resources.