Barley (Hordeum vulgare L.) is an important cereal crop, but its sustainable production is significantly hampered due to the presence of various edaphic stresses. Understanding the variability in root morphological traits among diverse barley genotypes is critical for selecting those with suitable root traits for breeding new cultivars better adapted to stress environments. Root morphological traits in an early growth stage (30 days after transplanting) in a panel of 189 barley genotypes (mostly advanced breeding lines) were assessed using a semi-hydroponic phenotyping platform followed by a validation experiment of eight genotypes with contrasting root systems in two soils. The phenotyping experiment showed large variation (coefficient of variation values ≥ 0.25) in 16 of 26 measured root and shoot traits. A strong correlation among most of the selected traits was identified. Principal component analysis indicated four principal components (eigenvalues >1) captured 79.5% of the total variation. Root traits, including total root length, root length at various depths, root diameter and root length ratio (top 20 cm vs. lower section), could be considered in the barley breeding programs. Consistent ranking of the selected eight genotypes based on root biomass and root length in both the semi-hydroponic system and the columns with two different soils confirmed root trait performance in different growth environments as well as the reliability of the phenotyping method. This study identified phenotypic variability in root morphological traits in barley genotypes in the early growth stage. The genotypic variability in root traits represents a basis for mapping quantitative trait loci (QTLs) and molecular markers, particularly focused on breeding lines with optimal root properties for the efficient acquisition of soil resources and adaptation to drought and other abiotic stresses.

In this study, our primary objective was to explore the effects of meteorological change on crop yield by analyzing conditions for midseason rice (Oryza sativa L.) and winter wheat (Triticum aestivum L.) in China. We conducted a detailed exploration of the relationship between yield and meteorological factors at different growing stages; specifically, the crop yield of >2000 Chinese administrative counties from 1980 to 2012 and the day‐degree data from 2481 weather stations were carefully analyzed. We first investigated the tendencies and the fluctuation ratios per unit yield to identify the differences in Chinese crops according to cultivar and region and the causes of these differences. We then determined the exact relationships between yield and meteorological factors at different growth stages via data association analysis. We also found time and spatial distribution patterns for crop yield and then established the meteorological factors influencing each index through quantitative analysis. We found that the yields of rice and wheat have witnessed steady growth in China in recent decades, and the stability of rice production has outweighed that of wheat. China's rice yield in the northeastern region at the emergence stage is greatly influenced by temperature, whereas it is during the grain‐filling stage that China's wheat yield is significantly affected by temperature. By obtaining real‐time agricultural meteorological information, crop production can be effectively and timely predicted, and more refined and scientific field management can be achieved according to the degree of importance of meteorological factors during different periods to increase crop production.

In 2013, the government officially approved the construction task of developing high-standard farmland, which had been written into the outline of the “12th Five-Year Plan”, the “13th Five-Year Plan” and the “14th Five-Year Plan”, effectively ensuring the sustainable development of farmland with high and stable yield in China. Moreover, with the rapid progress of urbanization and industrialization, the quality and usage of cultivated land have changed greatly, and the relationship between the economic value, social value and ecological value of land has become increasingly prominent. Whether the development of high-standard farmland, especially the high-standard farmland used for grain production, has achieved the goals of increasing farmers’ income, agricultural output and rural development is not clear. Therefore, it is necessary to evaluate the comprehensive benefits of high-standard farmland development in grain production, so as to scientifically measure the results of the development. From the perspective of economic, social and ecological benefits, this paper establishes an entropy weight evaluation index system and a model to evaluate the level and effectiveness of high-standard farmland development from 2013 to 2020 in China. The results show that the high-standard farmland development project has improved the yield of grain and the basic productivity of cultivated land, effectively increased the yields of land in the project area and promoted the protection and improvement of cultivated land quality, which includes soil quality improvement, soil fertility enhancement, pollution control and soil remediation. The project also helped raise the farmers’ income levels and improved farmers’ agricultural knowledge and skills in the project area. The projects are very beneficial for agricultural production, the farmers’ income and rural development. However, there is still a certain gap between the national average level of improvement and the original goal set in the policy. The average grain yield per mu (Note: 1 mu ≈ 0.0667 ha, similarly hereinafter) was expected to be increased by less than 100 kg (the national average was a 40 kg increase), and the degrees of improvement in economic, social, ecological and comprehensive benefits in different project types were also different. In the future, we suggest that the project should be implemented according to local conditions and the features of each region. We should pay attention to the protection of basic farmland quality and further improve grain output to achieve the goal of stabilizing and increasing production.