Potato–legume intercropping has been confirmed to increase productivity in modern agricultural systems. However, the physiological and ecological mechanisms of potato–soybean intercropping for promoting tuber yield formation in potato remain unclear. Field experiments were conducted in 2022 and 2023 to explore the responses of tuber yield formation, rhizosphere soil quality, root growth, and plant physiology of potato in potato–soybean intercropping. The soil at the experimental site is Cambisols. The treatments included sole cropping potato, sole cropping soybean, and potato–soybean intercropping. Our results indicated that potato –soybean intercropping decreased the water content, increased the total K content and activities of urease and catalase in rhizosphere soil, and enhanced the root mean diameter, root projected area, and root length density in the 0–5 cm and 15–20 cm soil layers of potato. Moreover, potato–soybean intercropping improved the plant photosynthetically active radiation and light transmittance rate of the middle and lower layers as well as the leaf area index, enhanced the leaf chlorophyll b content and ribulose-1,5-diphosphate carboxylase/oxygenase activity, and increased the leaf net photosynthetic rate and organ dry matter accumulation amounts of potato. The changes in the above parameters resulted in an increased tuber weight per plant (19.4%) and commercial tuber number (42.5%) and then enhanced the equivalent tuber yield of potato (38.2%) and land equivalent ratio (1.31 in 2022 and 1.33 in 2023). Overall, potato–soybean intercropping greatly increased the equivalent tuber yield by improving the rhizosphere soil quality, root growth, and plant physiology of potato and then achieved a higher land equivalent ratio.

Waxy sorghum–soybean intercropping is a sustainable and intensive farming system in southwest China. However, there is limited knowledge about the effects of intercropped soybean combined with nitrogen application on nitrogen uptake and utilization in waxy sorghum. A two-year (2023 and 2024) field experiment was carried out using a randomized complete block design with three planting patterns and three nitrogen application rates to explore the responses of grain yield formation and nitrogen uptake, accumulation, transportation, metabolism physiology, and utilization of waxy sorghum for intercropped soybean combined with nitrogen application. Planting patterns included sole cropped waxy sorghum (SCW), sole cropped soybean (SCS), and waxy sorghum intercropped with soybean (WSI), and nitrogen application rates included zero nitrogen (N0), medium nitrogen (N1), and high nitrogen (N2). Results showed that the dry matter accumulation amount, nitrogen content, nitrogen accumulation amount, nitrogen transportation amount, nitrogen transportation rate, contribution rate of nitrogen transportation to grains, nitrogen metabolizing enzymes activities (including nitrate reductase, nitrite reductase, glutamine synthetase, glutamate synthetase, glutamate dehydrogenase, and glutamic-pyruvic transaminase), and active substances contents (including soluble sugar, soluble protein, and free amino acid) in various organs of waxy sorghum among planting patterns and nitrogen application rates were in the order of WSI > SCW and N1 > N2 > N0, respectively. In addition, the nitrogen uptake efficiency, nitrogen agronomy efficiency, nitrogen apparent efficiency, nitrogen recovery efficiency, nitrogen partial factor productivity, and nitrogen contribution rate of waxy sorghum among planting patterns and nitrogen application rates were in the sequence of WSI > SCW and N1 > N2, respectively. The changes in above traits resulted in the WSI-N1 treatment obtaining the highest grain yield (6020.66 kg ha⁻¹ in 2023 and 6159.81 kg ha⁻¹ in 2024), grain weight per spike (65.22 g in 2023 and 64.51 g in 2024), 1000-grain weight (23.14 g in 2023 and 23.18 g in 2024) of waxy sorghum, and land equivalent ratio (1.41 in 2023 and 1.44 in 2024). Overall, waxy sorghum intercropped with soybean combined with medium nitrogen application (220 kg ha⁻¹ for waxy sorghum and 18 kg ha⁻¹ for soybean) can help enhance the nitrogen uptake and utilization of waxy sorghum by improving nitrogen metabolizing enzymes’ activities and active substances’ contents, thereby promoting its productivity.

S: Hongyingzi is a special waxy sorghum ( Sorghum bicolor L. Moench) cultivar for brewing Moutai liquor. For an overall understanding of the whole genome of Hongyingzi, we performed whole-genome resequencing technology with 56.10 X depth to reveal its comprehensive variations. Compared with the BTx623 reference genome, 2.48% of genome sequences were altered in the Hongyingzi genome. Among these alterations, there were 1885774 single nucleotide polymorphisms (SNPs), 309381 small fragments insertions and deletions (Indels), 31966 structural variations (SVs), and 217273 copy number variations (CNVs). These alterations conferred 29614 genes variations. It was also predicted that 35 genes variations were related to the multidrug and toxic efflux (MATE) transporter, chalcone synthase (CHS), ATPase isoform 10 (AHA10) transporter, dihydroflavonol-4-reductase (DFR), the laccase 15 (LAC15), flavonol 3′-hydroxylase (F3′H), flavanone 3-hydroxylase (F3H), O -methyltransferase (OMT), flavonoid 3′5′ hydroxylase (F3′5′H), UDP-glucose:sterol-glucosyltransferase (SGT), flavonol synthase (FLS), and chalcone isomerase (CHI) involved in the tannin synthesis. These results would provide theoretical supports for the molecular markers developments and gene function studies related to the liquor-making traits, and the genetic improvement of waxy sorghum based on the genome editing technology.

Sorghum [Sorghum bicolor (L.) Moench] production faces persistent challenges from low nitrogen-use efficiency (NUE) under the intensive cultivation systems of Southwest China. To elucidate the physiological determinants of genotypic variation in NUE, a two-site field experiment was conducted in Guiyang and Anshun using a high-NUE waxy sorghum cultivar (HLF) and a low-NUE waxy sorghum cultivar (QV9) under two nitrogen levels: no nitrogen application (BSN, 0 kg N ha⁻¹) and conventional nitrogen application (SN, 150 kg N ha⁻¹). Results showed that grain yield (Yield) and NUtE responded significantly to genotype (G), nitrogen application rate (N), and G × N effects across both sites. For NUpE, the main effect of N was significant at Anshun but not at Guiyang, whereas genotypic differences were consistent across both sites. Under BSN treatment, HLF exhibited a modest 11.04% yield reduction relative to SN, whereas QV9 suffered a 24.31% decline. Across both nitrogen levels and sites, HLF consistently outperformed QV9 in NUpE and NUtE, with NUpE reaching 1.58–1.98 times that of QV9. Nitrogen application significantly enhanced leaf area index (LAI) and SPAD values, and HLF maintained higher canopy indices at post-anthesis compared to QV9. Total dry matter and nitrogen accumulation (TDMA and TNA), post-anthesis dry matter and nitrogen accumulation (DMAP and NAP), and proportion of post-anthesis dry matter and nitrogen accumulation (DMAPP and NAPP) of HLF were higher than QV9. Although the BSN-HLF produced higher dry matter translocation amounts than BSN-QV9, HLF exhibited lower dry matter and nitrogen translocation rates (DMTR and NTR) and contribution rates of dry matter and nitrogen to grains (DMTCR and NTCR). At the enzymatic level, HLF sustained significantly elevated activities of nitrate reductase (NR), glutamine synthetase (GS), and glutamate synthase (GOGAT) and maintained elevated antioxidant enzyme activities (SOD and POD) at both anthesis and maturity stages under BSN treatment. Concurrently, HLF accumulated higher concentrations of osmolytes (proline and soluble sugars), while maintaining reduced malondialdehyde (MDA) content, indicative of strengthened cellular homeostasis under BSN treatment. Mantel tests further revealed that DMAPP, GS, GOGAT, POD, SSC, and MDA were commonly and significantly linked to both NUE and yield. Overall, HLF maintained higher NUE and yield stability under low nitrogen, which may be associated with its sustained nitrogen metabolic enzyme activities, optimized canopy performance, and enhanced antioxidant and osmotic adjustment capacities.

Hyperspectral imaging (HSI) is a powerful non-destructive tool for cereal grain quality and safety assessment, enabling simultaneous prediction of multiple quality parameters through integrated spectroscopy and spatial imaging. While conventional chemometric methods such as partial least squares regression remain widely used, deep learning, particularly convolutional neural networks and ensemble methods, has demonstrated superior performance and is increasingly adopted. This review synthesizes HSI applications across six major cereal crops (maize, rice, wheat, barley, sorghum, and millet), covering nutritional composition, moisture, mycotoxins, physical traits, and variety classification. Spectral principles, modeling approaches, and cross-crop patterns are analyzed. Critical gaps are identified, including the near-absence of lipid and dietary fiber studies and scarce industrial deployment validation. Publication bias and methodological heterogeneity across primary studies, which likely inflate reported prediction accuracies, are discussed. This review provides a comprehensive reference and offers perspectives on advancing HSI toward standardized and industrially deployable solutions.